Figure 1. Summary findings of the effects of thiamine deficiency on rats' cognitive function, movement disorders and brain histopathology
The Agency for Healthcare Research and Quality (AHRQ), through its Evidence-Based Practice Centers (EPCs), sponsors the development of evidence reports and technology assessments to assist public-and private-sector organizations in their efforts to improve the quality of health care in the United States. This report on B Vitamins and Berries and Age-Related Neurodegenerative Disorders was requested and funded by the National Center for Complementary and Alternative Medicine (NCCAM) and the Office of Dietary Supplements (ODS), National Institutes of Health. The reports and assessments provide organizations with comprehensive, science-based information on common, relevant scientific literature on topics assigned to them by AHRQ and conduct additional analyses when appropriate prior to developing their reports and assessments.
To bring the broadest range of experts into the development of the evidence reports and health technology assessments, AHRQ encourages the EPCs to form partnerships and enter into collaborations with other medical and research organizations. The EPCs work with these partner organizations to ensure that the evidence reports and technology assessments they produce will become building blocks for health care quality and improvement projects throughout the nation. The reports undergo peer review prior to their release.
AHRQ expects that the EPC evidence reports and technology assessments will inform individual health plans, providers, and purchasers as well as the health care system as a whole by providing important information to help improve health care quality.
We welcome comments on this evidence report. They may be sent to the Task Order Officer below at: Agency for Healthcare Research and Quality, 540 Gaither Road, Rockville, MD 20850, or by e-mail to epc@ahrq.gov.
Carolyn M. Clancy, M.D.
Director
Agency for Healthcare Research and Quality
Jean Slutsky, P.A., M.S.P.H.
Director, Center for Outcomes and Evidence
Agency for Healthcare Research and Quality
Stephen E Straus, M.D.
Director
National Center for Complementary and Alternative Medicine
National Institutes of Health
Beth A. Collins Sharp, Ph.D., R.N.
Acting Director, EPC Program
Agency for Healthcare Research and Quality
Paul M. Coates, Ph.D.
Director
Office of Dietary Supplements
National Institutes of Health
Margaret Coopey, M.P.S., M.G.A., R.N.
EPC Program Task Order Officer
Agency for Healthcare Research and Quality
We would like to acknowledge with appreciation the following members of the Technical Expert Panel for their advice and consultation to the Evidence-based Practice Center during preparation of this report.
James Joseph, Ph.D.
Associate Professor
Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy at Tufts University
USDA Scientist
Neuroscience Laboratory
Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University
Boston, Massachusetts
Irwin H. Rosenberg, M.D.
Senior Scientist and Director
Nutrition and Neurocognition Laboratory
Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University
Boston, Massachusetts
Alice H. Lichtenstein, D.Sc.
Stanley N. Gershoff Professor of Nutrition Science and Policy
Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy at Tufts University
Senior Scientist, Director of the Cardiovascular Nutrition Laboratory
Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University
Boston, Massachusetts
Thomas B. Shea, Ph.D.
Center for Cellular Neurobiology and Neurodegeneration Research
Department of Biological Sciences
University of Massachusetts
Lowell, Massachusetts
Richard Nahin, Ph.D., M.P.H.
Senior Advisor for Scientific Coordination
National Center for Complementary and Alternative Medicine
National Institutes of Health
Bethesda, Maryland
Anne Thurn, Ph.D.
Director
Evidence-Based Review Program
Office of Dietary Supplements
National Institutes of Health
Bethesda, Maryland
Henry W. Querfurth, M.D., Ph.D.
Associate Professor of Neurology and Neuroscience
Tufts University School of Medicine
Chief, Neurology Research
Caritas St. Elizabeth's Medical Center
Boston, Massachusetts
Nicholi Vorsa, Ph.D.
Research Professor
Plant Science
Marucci Blueberry-Cranberry Research Center Plant Science/Chatsworth
Chatsworth, New Jersey
We would also like to acknowledge with appreciation the following person for her role as a Technical Expert Consultant to the EPC:
Barbara Shukitt-Hale, Ph.D.
USDA Scientist, Neuroscience Laboratory, Jean Mayer USDA Human Nutrition Research
Center on Aging at Tufts University, Boston, Massachusetts
Objectives. To assess the effects, associations, mechanisms of action, and safety of B vitamins and, separately, berries and their constituents on age-related neurocognitive disorders - primarily Alzheimer's (AD) and Parkinson's disease (PD).
Data Sources. MEDLINE® and CAB Abstracts™. Additional studies were identified from reference lists and technical experts.
Review Methods. Vitamins B1, B2, B6, B12, and folate, and a dozen types of berries and their constituents were evaluated. Human, animal, and in vitro studies were evaluated. Outcomes of interest from human studies were neurocognitive function or diagnosis with AD, cognitive decline, PD, or related conditions. Intervention studies, associations between dietary intake and outcomes, and associations between B vitamin levels and outcomes were evaluated. Specific mechanisms of action were evaluated in animal and in vitro studies. Studies were extracted for study design, demographics, intervention or predictor, and neurocognitive outcomes. Studies were graded for quality and applicability.
Results. In animal studies, deficiencies in vitamins B1 or folate generally cause neurological dysfunction; supplementation with B6, B12, or folate may improve neurocognitive function. In animal experiments folate and B12 protect against genetic deficiencies used to model AD; thiamine and folate also affect neurovascular function and health.
Human studies were generally of poor quality. Weak evidence suggests possible benefits of B1 supplementation and injected B12 in AD. The effects of B6 and folate are unclear. Overall, dietary intake studies do not support an association between B vitamin intake and AD. Studies evaluating B vitamin status were mostly inadequate due to poor study design. Overall, studies do not support an association between B vitamin status and age-related neurocognitive disorders.
Only one study evaluated human berry consumption, finding no association with PD. Animal studies of berries have almost all been conducted by the same research group. Several berry constituents have been shown to affect brain and nerve tissue function. Blueberry and strawberry extract were protective of markers of disease, although effects on neurocognitive tests were less consistent. Berry extracts may protect against the deleterious effects of compounds associated with AD.
Reporting of adverse events was uncommon. When reported, actual adverse events from B vitamins were rare and minor.
Conclusions. The current research on B vitamins is largely inadequate to confidently assess their mechanisms of action on age-related neurocognitive disorders, their associations with disease, or their effectiveness as supplements. B vitamin supplementation may be of value for neurocognitive function, but the evidence is inconclusive.
Disorders of the nervous system account for more long-term care, chronic suffering, and diminished quality of life than all other disorders combined. Age-related neurodegenerative disorders are chronic and progressive conditions that result from loss of the maintenance of neurons involved in cognitive, emotional, motor and sensory functions. The two most common age-related neurodegenerative disorders are Alzheimer's (AD) and Parkinson's diseases (PD). This report investigates the possible relationships both of B vitamin status and supplementation and of berry consumption with age-related neurodegenerative disorders.
This report was sponsored by the National Center for Complementary and Alternative Medicine (NCCAM) and the Office of Dietary Supplements (ODS), National Institutes of Health.
What is the evidence regarding mechanisms of action of the B vitamins B1, B2, B6, B12, and folate (singly and in combination) for preventing, decreasing the rate of progression of, or reversing the neurological changes associated with age-related neurodegenerative conditions such as Parkinson's or Alzheimer's disease?
What is the evidence that the B vitamins B1, B2, B6, B12, and folate can prevent, decrease the rate of progression of, or reverse the neurological changes associated with age-related neurodegenerative conditions such as Parkinson's or Alzheimer's disease in humans
What adverse events in humans have been reported in the literature for supplementation with the B vitamins B1, B2, B6, B12, and folate?
Do the frequency of adverse events vary with source, dose, or other evaluated factors?
What are the constituents in berries with beneficial nerve- and brain-related health effects (from in vitro, animal, and human studies)?
In what other food sources are these constituents found?
What is the evidence regarding mechanisms of action of berry constituents for preventing, decreasing the rate of progression of, or reversing the neurological changes associated with age-related neurodegenerative conditions, including Parkinson's or Alzheimer's disease?
What is the evidence that the constituents of berries can prevent, decrease the rate of progression of, or reverse the neurological changes associated with age-related neurodegenerative conditions, including Parkinson's or Alzheimer's disease in humans
Is the source, species, dose, composition, characteristics, or processing of berries and berry constituents related to the effect of the intervention?
What adverse events in humans have been reported in the literature for the constituents in berries?
Do the frequency of adverse events vary with source, dose, or other evaluated factors?
We reviewed all studies of berries and their constituents that addressed these questions, regardless of specific topic. However, for B vitamins we restricted the specific topics to the following:
Association between B vitamin treatment/intake with diagnosis or severity of AD or PD, cognitive function, or histopathology
Association of B vitamin status and AD or PD diagnosis, histopathology, severity of disease, or cognitive function
Effect of B vitamin supplementation or deficiency on cognitive function, movement disorders, histopathology, etc., in appropriate models
Effect of B vitamins on the expression or function of AD-related genes
Blood brain barrier and cerebrovascular endothelial function in relation to B vitamins
Human studies. The common inclusion criteria for human studies consist of primary studies; English language publication, human adult subjects; analysis of the predictor or description, including quantification, of the intervention, and analysis of the following categories of outcomes: diagnosis or severity of AD, PD, other age-related neurocognitive disorders, or cognitive impairment; tests of cognitive function. We excluded other neuropsychiatric conditions and neuromotor diseases. For B vitamin interventions, we included only prospective trials.
Animal / in vitro studies. Animal and in vitro studies had to be published in full form in English language journals. We included all animal and in vitro models of diseases of interest and all outcome measurements related to the outcomes and/or associations of interest. We excluded studies that used inappropriate animal or in vitro models.
Literature Search Strategy. We conducted a comprehensive literature search to address the key questions. Final literature searches for English language publications on B vitamins and berries were conducted in MEDLINE® and the Commonwealth Agricultural Bureau (CAB) Abstracts™ between February and March 2005. The searches included both human, animal, and in vitro studies.
Both the B vitamin and berry searches used a common neurocognitive model that included the following terms: nervous system diseases, cognitive disorders, neurodegeneration, dementia, Alzheimer, Parkinson, Lewy body, neuron/nerve cells, brain, and related terms.
Additional studies were sought by contacting members of the TEP, and from reference lists of selected included articles, review articles and meta-analyses.
Data Extraction. The same data extraction forms were used for both the B vitamin and berry articles. Standard data extraction forms were used for human studies. For animal and in vitro studies, data extraction focused more on study hypotheses and conclusions than on design and quantitative results.
We used a 3-category grading system (A, B, C) to denote the methodological quality of each study. This system, with variations in criteria, was used for both human and animal studies. Separate criteria were used for human intervention studies, human association studies, and animal studies to account for different issues related to these types of studies.
Category A studies have the least bias and results are considered valid.
Category B studies are susceptible to some bias, but not sufficient to invalidate the results.
Category C studies have significant bias that may invalidate the results.
Human studies were also assessed for applicability:
Sample is representative of the target population.
Sample is representative of a relevant sub-group of the target population.
Sample is representative of a narrow subgroup of subjects only.
For B vitamins, 85 human studies and 17 animal or in vitro studies were evaluated. Although the review covers both neurocognitive function related to AD and related diseases and the movement disorders and motor systems degeneration related to PD and related diseases, only scant evidence was found regarding PD-related conditions.
Mechanisms of Action. Overall, research has shown that there were negative effects of thiamine, vitamin B6 and folate deficiency on animal's clinical status and/or histopathology, although not all deficient animals had worse performance in neurocognitive tests. Studies have found some positive effects of the supplementations of vitamin B6, vitamin B12, and folate on animal's performance in neurocognitive tests. Folate deficiency also showed a synergistic effect with both PD and AD pathology. Folate appears to protect against oxidative damage associated with ApoE gene knockout mouse models. Folate and B12 deficiency also induce presenilin-1, but do not appear to affect amyloid precursor protein. Thiamine (vitamin B1) is required for active transport of pyruvate across the blood brain barrier and maintaining integrity and normal permeability of the blood brain barrier. Folate is protective against homocysteine-induced cerebrovascular damage.
Vitamin B1. Three randomized controlled trials (RCTs), one non-randomized comparative trial and one uncontrolled cohort study that assessed the effect of thiamine intervention among people with either probable or possible AD were heterogeneous in their outcomes. Most found improvements in cognitive function or a slowed rate of deterioration using some measures of cognitive testing, either compared to control or in uncontrolled studies. However, either no difference between treatment and control or no improvement with thiamine supplementation was found in all studies with other measures of cognitive function. Only the uncontrolled cohort study reported blood levels of thiamine before intervention and included AD subjects with normal levels.
Vitamin B2. No prospective trial has evaluated the effect of B2 treatment on neurocognitive function.
Vitamin B6. Only two RCTs of cognitively intact population investigated the effect of B6 intervention on cognitive function. Participants had B6 levels within normal range in both trials. With treatment, a significant improvement was found in one of the RCTs with one cognitive function test. No other significant change was reported in the studies.
Vitamin B12. Five RCTs, one non-randomized comparative trial, and seven cohort studies assessed the effect of B12 intervention on cognitive function. Seven of these studies recruited participants with low B12 levels, while the remaining five studies assessed individuals with normal B12 levels. There was a large degree of heterogeneity across the studies. Although several studies suggested some improvement in cognitive function, few reached statistical significance. Results were frequently conflicting. Vitamin B12 was given intramuscularly in the only RCT that found a significant effect in the treatment group compared with the controls. Similarly, only cohort studies that used intravenous or intramuscular vitamin B12 reported a significant effect on cognitive function scores. However, the lack of data directly comparing oral and injected routes of vitamin B12 and the paucity of controlled trials limits any conclusions regarding the utility of different routes of administration.
Folate. Three RCTs and two uncontrolled cohort studies reported data on the effect of folate intervention. One RCT of subjects with dementia and normal folate levels found worse neuropsychological scores in the folate treatment group among subjects with dementia. Two other studies, one RCT and one cohort study, found significant improvement with folate supplementation compared to placebo in different populations. The study of patients with PD found no therapeutic benefit. Three studies reported blood folate levels before intervention, of which only two studies (one RCT and one cohort study) included patients with low folate levels.
Combination of B vitamins. Three RCTs and three uncontrolled cohort studies assessed the effects of a combination of B vitamins as interventions on cognitive function. Each used different daily doses of various B vitamins including folate, B6, and B12. All but one found no significant change in cognitive function after combination B vitamin supplementation. Only one RCT assessed the effects of combined vitamin intervention on patients with low blood folate levels; the remainder of the studies included patients with normal mean blood vitamin levels.
B Vitamin Dietary Intake Studies. Five longitudinal studies and five cross-sectional studies examined the association between the dietary intake levels of B vitamins and cognitive function or the risk of age-related neurodegenerative diseases. No significant associations were found between dietary intakes of B6 or B12 and PD, AD, cognitive function, or cognitive decline across three studies. One additional study found dietary intakes of B6 and B12 were positively associated with improvements in some, but not all, cognitive function measures. Two studies found opposite relationships between dietary intakes of folate and cognitive function in aging populations. Among the five cross-sectional studies, one found that subjects with low intake of thiamine, vitamins B2, B6, and folate, but not B12, scored significantly worse on verbal memory than those with relatively high intake levels. A second study found an association between vitamin B2 intake and cognitive testing in women, but not men. No association between dietary intake of B12 and cognitive function or diagnosis of AD was found in all five cross-sectional studies.
Overall. The association between thiamine status and age-related cognitive disorders is unclear. Half the studies found no associations and half found lower levels of thiamine or thiamine derivatives in tissues of patients with AD, cognitively impairment, and PD. However, none of these studies could differentiate between cause and effect (e.g., low thiamine levels resulting in disease vs. changes due to disease, including nutritional intake, resulting in low thiamine levels). The studies also failed to adjust for potential confounders. The cross-sectional studies of vitamin B2 found no association with diagnosis of AD, but low levels among people with PD (mean 101 ng/mL, where the normal range is 125 to 300 ng/mL). The large majority of vitamin B6 studies found no association between B6 status and the diagnosis of dementia or cognitive impairment, or cognitive function. A large number of studies have evaluated both vitamin B12 and folate status. Most of the longitudinal studies of vitamin B12 failed to find an association with diagnosis or severity of disease. While trends toward lower B12 levels among people with AD were found in cross-sectional studies, these associations were not consistent and proper adjustment for potential confounders was rarely performed. Both the longitudinal and case-control studies of folate status mostly reported an association between low folate levels (defined differently in different studies) and future diagnosis of AD and/or cognitive impairment. No association with PD was found.
One human study and 18 animal or in vitro studies (with 19 experiments) were evaluated.
Constituents of Berries. Only a limited number of the numerous constituents in berries have been examined separately from the rest of the fruit. These include tannins (procyanidin and prodelphinidin), anthocyanins and phenolics, from various berries.
Effects of the constituents in berries. One study showed that bilberry extract containing anthocyanins significantly increased rat brain uptake of triiodothyronine (T3). One study reported that 18 plant tannins, including those found in blueberry, red currant, and gooseberry, generally inhibit brain protein kinase C to a similar degree; however, the biological significance in live animals of this in vitro inhibition is unknown. One study demonstrated that that the anthocyanins in blueberry extracts were able to cross the blood brain barrier and the number of the total anthocyanins measured in the brain is associated with rats' learning performance. One study compared the effects of specific berry constituents on neurocognitive outcomes in rats. It did not appear that the anthocyanin component was solely responsible for improvements seen.
Effects of berry extract supplementation. Berry extracts were used to supplement animals' diet or added to in vitro study media in 14 studies with 15 experiments. Of these, only two studies used specific animal or in vitro models of AD. All of these studies were from the same group of investigators.
Blueberry and strawberry extract supplementation showed improved or protective effects on almost all biochemical markers and histology findings examined in the normal-aging rat brain, although only some of the neurocognitive tests and psychomotor functions were significantly improved.
Two studies used models of AD. The results suggested that it may be possible to reduce both the deleterious effects of dopamine and the putative toxic effects of amyloid β via various berry extracts. In mouse models with amyloid precursor protein and presenilin-1 mutations, blueberry extract supplementation seemed to prevent the deficits in Y-maze performance seen in the transgenic animals fed the control diets, although it did not affect amyloid β deposits.
Human Studies. Only one study evaluated any association between berry (or berry constituent) intake and neurocognitive function. A case-control study of patients with PD found that the preference to consume blueberries or strawberries was not statistically significantly associated with PD.
Only 10 B vitamin studies reported adverse events among 254 subjects receiving B vitamin supplementation. These mostly reported no adverse events. The two studies reporting complaints cited mild gastrointestinal complaints in patients with AD taking high dose thiamine and possible mild neurological complaints with folate in patients with PD.
Few studies used specific, well-established models for AD or PD. Most were performed in normally aging rodents. It has also not yet to be established that the neurocognitive tests used in the experiments correspond to deficits seen in AD or PD. Most studies used models of severely vitamin deficient rodents. While these studies might elucidate which B vitamins are required for maintenance of brain function, they rarely addressed the question of the actual mechanism of action of the B vitamins. Almost all the studies of berries have been performed in a single laboratory. The grading of quality for animal and in vitro studies remains even less well validated than grading of human studies; however, improvements are clearly needed in the design and reporting of these studies.
Only a single, retrospective, human study of berries and PD has been reported. Among the human B vitamin studies, the majority were of poor quality. The majority of data come from cross-sectional studies, most of which failed to adjust for potential confounders. Among the trials of B vitamin supplementation, a large number were not RCTs.
All the B vitamin studies as a group also suffered from lack of standardization of B vitamin measurement technique, of normal ranges for B vitamins, of definitions of diagnoses of various dementias, and of tests of cognitive function. On the order of 50 different tests or subtests were used across the studies. There is scant evidence regarding the effect of B vitamins on PD.
The current research is largely inadequate to confidently assess the associations between B vitamin status and either disease or severity of disease, the effectiveness of B vitamin supplementation to prevent or ameliorate AD or PD, or putative mechanisms of action of B vitamins on age-related neurocognitive disorders.
In animal models, B vitamin deficiencies cause reproducible deficits and lesions and there is evidence to suggest a role for folate and vitamin B12 in regulating some genes and gene products related to AD.
There is limited evidence that injected vitamin B12 supplementation is of clinical benefit among demented or cognitively impaired patients, particularly when given soon after diagnosis of disease; however, overall the studies of B12 supplementation are inconclusive and the relative value of injected versus oral B12 remains unclear. Similarly, folate supplementation may also improve cognitive function but the clinical importance of the results remains unclear. Of note, though one study of folate supplementation found a significant worsening of cognitive function in treated patients with dementia. Other B vitamin treatments, including combination treatments, have not been shown to affect AD. Insufficient studies evaluated PD and no study evaluated vitamin B2 supplementation. The available literature does not conclusively support associations of B vitamin status as having an effect on age-related neurocognitive disorders. Conclusions are limited largely due to the poor quality of the research.
Almost all studies of berries and neurocognitive function have been performed by a single group of researchers. The large majority of studies have used blueberry and strawberry extract supplementation, both of which produced positive effects on biochemical markers and histology findings, and some neurocognitive tests and psychomotor functions. In studies of specific rodent models of AD, various berry extracts ameliorated the deleterious effects of the AD-related genetic defects. The human data are insufficient to make conclusions.
To clarify the actual biological or physiological responses that B vitamins may have on processes specific to age-related neurocognitive function, particularly PD, further studies would be needed. Studies in this field should be performed in a manner that will allow reproducibility, cross-species validation, and clear association with human brain processes. Likewise, understanding of what are the specific constituents in berries that appear to be of benefit, would require further investigation. Several questions of interest will continue to be difficult to address from human studies given ethical and practical limitations. Topics of particular interest that may be more suitable to animal research include sorting out the independent effects of elevated homocysteine and of low B vitamin levels and/or intake, and clarifying the relative harm of B vitamin deficiency (or benefit of B vitamin supplementation) in different stages of health or neurocognitive disease. Several large observational studies in humans have attempted to address the interaction with homocysteine, however, without the ability to closely control homocysteine and B vitamin levels (or intake) it is unlikely that human studies will definitively answer this question.
Due to either the limited amount of available data or the poor quality of the bulk of the research to date, well-performed, well-analyzed, large, prospective studies would be needed to address all the questions posed regarding the effects and associations between either B vitamins or berries and age-related neurocognitive function. Future studies should use only well-verified and commonly used measurement criteria for both predictors and outcomes. This may require additional research to verify the value of measurement tools for neurocognitive function. Further cross-sectional studies are of very limited value. Any human studies of both B vitamins and berries should be more of practical than theoretical value. For example, both dietary and supplementation studies should evaluate doses that a normal person can both easily incorporate into their lifestyle and afford, instead of testing regimens that could not be reasonably followed by most people.
The report on B Vitamins and Berries and Age-Related Neurodegenerative Disorders consists of 2 separate, but related, systematic reviews. Although sharing the same outcomes of interest, research on the effects of B vitamins and on the effects of berries do not overlap. However, given the shared outcomes of interest and the small amount of literature on berries research, this report covers both topics. The report is structured such that each chapter includes separate sections for information regarding both topics, for the B vitamin topic, and for the berries topic. In particular, the Results chapter is divided into 2 sections, one each for the B vitamin topic and the berries topic.
We begin with a general overview of age-related neurodegenerative disorders, followed by information on B vitamins and their proposed mechanisms of actions on age-related neurodegenerative disorders, and subsequently a brief introduction to berries and their proposed mechanisms of action. A detailed discussion about berry constituents is reserved for the Results chapter in response to the first berry Key Question.
Disorders of the nervous system account for more long-term care, chronic suffering, and lost quality of life than all other disorders combined.1 Age-related neurodegenerative disorders are chronic and progressive conditions that result from loss of the maintenance of neurons involved in cognitive, emotional, motor and sensory functions.2 Different neurological disorders are associated with different patterns of cell loss and different intra- or extracellular deficiencies (such as changes in the intracellular signal transduction pathways and intercellular signal molecules) or deposits in the brain. The two most common age-related neurodegenerative disorders are Alzheimer's and Parkinson's diseases.
Alzheimer's disease (AD) affects over 4 million people in the United States.2 It is the cause of about two-thirds of all cases of dementia.3 The prevalence of AD rises exponentially with age among the elderly such that up to half of 95 year olds are affected.4 AD is a progressive neurological disease that results in the irreversible loss of brain neurons. It results in progressive impairment in memory, judgment, decision making, orientation to physical surroundings and language. Definitive diagnosis can be made only at autopsy, where the pathological hallmarks are neuronal loss, amyloid β-peptide plaques, and neurofibrillary tangles (or tau proteins). Human, animal model, and in vitro studies of AD generally focus on cognitive and language function or changes related to the pathological hallmarks.
The major dementia syndromes include AD, vascular disease, Lewy body dementia, Parkinson's disease with dementia, frontotemporal dementias, and reversible dementias. The most common form of dementia among elderly is AD followed by the vascular dementia. AD has one or more of the following clinical features: a decrease in the level of cognition, behavioral disturbance, and interference to activities of daily living and independence. The most frequent clinical symptom is impairment in short and long-term memory. AD is synonymously known as dementia of Alzheimer disease, presenile and senile dementia, senile dementia of Alzheimer type, etc. AD is also categorized as type 1, type 2, type 3, and type 4 based on the age of onset, familial inheritance, genetic mutation, severity of disease and the rate progression.
The National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) includes criteria for diagnosis of AD that has an 80% positive predictive value.5 The Diagnostic and Statistical Manual of Mental Disorders - Fourth Edition (DSM-IV) also includes criteria for diagnosis of AD. The diagnosis of AD in a clinical setting involves careful history preferably from the caretaker or family of the patient, assessment of cognitive function, physical and neurological examination, and laboratory and imaging work-up of the patient. The most frequently used test to assess neurocognitive function is the Mini-Mental Examination (MMSE). Extensive evaluation of the multiple domains of the cognitive function can also be done using a battery of neuropsychological tests such as Dementia Rating Scale (DRS), the Wechsler Adult Intelligence Scale-Revised (WAIS-R), among others.
Parkinson's disease (PD) affects over 1 million people in North America,6 making it the second most common neurodegenerative disease.3 The prevalence of PD also rises with age, but at a much lower rate than AD; approximately 0.5 to 1 percent of 65 to 69 year olds are affected, rising to 1 to 3 percent among those 80 years and older.7 PD is characterized by resting tremor, bradykinesia (a decrease in spontaneity and movement), rigidity, and postural instability. Brain pathology is seen due to the loss of neurons in the substantia nigra in association with proteinaceous deposits known as Lewy bodies. Human, animal model, and in vitro studies of PD generally focus on related motor and neurological function or changes related to the pathological hallmarks.
A large number of other conditions result from progressive loss of neurons or neuronal function in various parts of the brain or due to numerous factors.8 These include mild “benign” motor and cognitive changes common among aging individuals and hundreds of rarely studied specific syndromes with heterogeneous clinical and pathological expressions.
Based on a recent review article, pharmacotherapy of AD and other dementias can only provide modest cognitive or disease-modifying benefits.9 However, even modest benefits may have significant effects on quality of life, caregiver burden, and societal economic costs. The principle recommended initial treatment for patients with AD is a cholinesterase inhibitor, regardless of severity illness. Other interventions are commonly tried, although none is recommended, primarily due to lack of evidence of a benefit. These include, among other treatments, hormone replacement therapy, anti-inflammatory treatments, gingko biloba, and various vitamin supplementations.
Basic science research has established the important role of genetics in both AD and PD. For AD, hypotheses have been proposed that mutations in precursor proteins and genes are associated with increased cellular production of products that are toxic to neurons. The first gene linked to familial AD is located on chromosome 21 and encodes the β-amyloid precursor protein (APP), the source of the 40 to 42 amino acid amyloid β-peptide that forms insoluble amyloid plaques in the brain of all AD patients. Two other genes linked to early-onset familial AD are those encoding presenilin-1 (PS1, on chromosome 14) and presenilin-2 (PS2, on chromosome 1).10 For PD, the alpha-synuclein gene (SNCA) has been implicated in autosomal dominant forms of the disease.11 There is a dosage effect according to the number of supernumerary copies of this gene (the number of gene duplications exceeding normal) in familial PD.12 Other factors that have been implicated in neuronal degeneration are mitochondrial dysfunction, oxidative stress, deficient neurotrophic support, and immune mechanisms.6
Although the mechanisms responsible for the neuronal degeneration seen during both normal aging and neurodegenerative disease states are not fully understood, the degeneration is thought to be caused by increased vulnerability to metabolic and extra-metabolic sources of free radicals in aging brains.13–17 An example of the possible role of oxidative stress in dementia is suggested by a recent study that found an increased plasma homocysteine level to be an independent risk factor for the development of dementia and AD in 1,092 participants (mean age, 77 years) from the Framingham cohort with a median follow-up of 8 years.18 With the variety of different possible pathogenic mechanisms in neuronal damage, development of therapies for these age-related neurodegenerative diseases will depend on further advances in our basic understanding of the underlying disease mechanisms. Such knowledge can potentially help in identifying high-risk individuals and lead to the development of therapies capable of halting the progression of the disorders before irreversible damage occurs.
Here and throughout the report, we focus of the specific B vitamins B1 (thiamine), B2 (riboflavin), B6 (primarily pyridoxine), B12 (cobalamin), and folate (folic acid, tetrahydrofolate, etc.). Thiamine and riboflavin exist in a variety of food sources, including enriched and whole-grain cereals, organ meats, milk, and various vegetables. A balanced diet is generally sufficient for adequate intake of these vitamins. Dietary vitamin B6 and B12 generally come from animal protein foods (including meat, poultry, seafood, and eggs) and enriched cereals, and the major food sources of folate include green vegetables, citrus fruits, various whole grains, and, recently folate-enriched flour.
Thiamine and riboflavin, along with niacin, function in various biochemical pathways in the metabolism of glucose, amino acids, and fatty acids.19 Thiamine deficiency, particularly associated with alcohol abuse, can result in Wernicke-Korsakoff syndrome, a distinct condition including dementia and psychosis resulting from lesions and thinning in multiple areas of the brain. There is increasing research in high-dose thiamine or riboflavin treatments in patients with AD and PD, even though the underlying mechanisms of action are unknown.20 A recent Cochrane systematic review of the efficacy of thiamine for people with AD was inconclusive due to the small number of randomized controlled trials and poor reporting of results in the included trials.21 The most common clinical manifestations reported in humans during vitamin B6 deficiency have been central nervous system changes and abnormal electroencephalography (EEG). Studies have showed that only 2 to 4 weeks of B6-depletion diet could result in abnormal EEG tracing in healthy young adults.22, 23
The coenzymes of vitamin B12, folate, and vitamin B6 (methylcobalamine, methyl tetrahydrofolate and pyridoxal-5′-phosphate, respectively), along with choline, interact to control serum homocysteine levels.19 Increased levels of homocysteine, a metabolite of the amino acid methionine, as well as decreased folate and vitamin B12 levels have been associated with normal aging. Correlations between high serum concentrations of homocysteine (in conjunction with low folate, vitamin B6 and vitamin B12) and decreased performance on cognitive tests have been reported.24, 25
Older adults are at risk of vitamin B12 deficiency because its absorption may decline with aging. Vitamin B12 is necessary for folate metabolism. Methionine synthase, a vitamin B12-dependent enzyme, facilitates the conversion of 5-methyltetahydrofolate to tetrahydrofolate by converting homocysteine to methionine. Derivatives of tetrahydrofolate are important for nucleotide biosynthesis. When deficiency of vitamin B12, dietary folate would stay methyltetrahydrofolate form in the body. The “methyltetrahydrofolate trap” phenomenon breaks the cycle of folate metabolism Folate acts as a cofactor in many biochemical reactions by donating and accepting one-carbon units.11 It is essential in nucleic acid synthesis and methylation reactions in the central nervous system. Animal and cell culture models of neurodegenerative disorders have shown that low-folate/high-homocysteine diets or folate deficiency may render neurons vulnerable to dysfunction and death. Specifically, dietary folate deficiency and elevated homocysteine levels were showed to promote accumulation of DNA damage and sensitizes neurons to amyloid β-peptide toxicity in experimental models of AD, and to endanger dopaminergic neurons in experimental models of PD.26, 27 Also important to the evaluation of folate supplementation to prevent or treat neurodegenerative disorders is that excess folate intake can mask a vitamin B12 deficiency.19
| Nutrient | Function | Life Stage Group | RDA | ULa | Selected Food Sources |
|---|---|---|---|---|---|
| Thiamine | Coenzyme in the metabolism of carbohydrates and branched chain amino acids | Males | (mg/d) | Enriched, fortified, or whole-grain products; bread and bread products, mixed foods whose main ingredient is grain, and ready-to eat cereals | |
| ≥31 yr | 1.2 | nd | |||
| Females | |||||
| ≥31 yr | 1.1 | nd | |||
| Riboflavin | Coenzyme in numerous oxidation/reduction reactions | Males | (mg/d) | Organ meats, milk, bread products and fortified cereals | |
| ≥31 yr | 1.3 | nd | |||
| Females | |||||
| ≥31 yr | 1.1 | nd | |||
| Vitamin B6 | Coenzyme in the metabolism of amino acids, glycogen and sphingolipid bases | Males | (mg/d) | Fortified cereals, organ meats, fortified soy-based meat substitutes | |
| Comprises a group of 3 vitamers: pyridoxal, pyridoxine, pyridoxamine; and 5′-phosphate coenzymes of each vitamer | 31–50 yr | 1.3 | 100 | ||
| ≥50 yr | 1.7 | 100 | |||
| Females | |||||
| 31–50 yr | 1.3 | 100 | |||
| ≥50 yr | 1.5 | 100 | |||
| Vitamin B12 | Coenzyme in amino acid and organic acid metabolism; prevents megaloblastic anemia | Males | (μg/d) | Fortified cereals, meat, fish, poultry | |
| Including its coenzymes methylcobalamin and adenosylcobalamin | ≥31 yr | 2.4 | nd | ||
| Females | |||||
| ≥31 yr | 2.4 | nd | |||
| Folate | Coenzyme in the metabolism of nucleic and amino acids; prevents megaloblastic anemia | Males | (μg/d) | Enriched cereal grains, grain products, and bread products; dark leafy vegetables | |
| Note: Given as dietary folate equivalents (DFE). 1 DFE = 1 μg food folate = 0.6 μg of folic acid from fortified food or as a supplement consumed with food. | ≥31 yr | 400 | 1000 | ||
| Females | |||||
| ≥31 yr | 400 | 1000 | |||
Derived from Institute of Medicine report accessed at www.iom.edu/Object.File/Master/7/296/0.pdf via www.nal.usda.gov/fnic/etext/000105.html (accessed July 27, 2005).
RDA = Recommended Daily Allowance; UL = Upper Limit.
UL = The maximum level of daily nutrient intake that is likely to pose no risk of adverse effects. Unless otherwise specified, the UL represents total intake from food, water, and supplements. Due to lack of suitable data, ULs could not be established for thiamin, riboflavin, or vitamin B12. In the absence of ULs, extra caution may be warranted in consuming levels above recommended intakes.
Overall, the B vitamins are known to function in several anti-oxidant, anti-inflammatory mechanisms, along with nucleotide biosynthesis and nerve function. However, a complete understanding of the underlying mechanisms and the relationship between B vitamins and neurodegenerative disorders, however, is still lacking.
There is convincing epidemiological evidence suggesting that eating fruits and vegetables may reduce the risk of cardiovascular disease and many cancers.28 It has been hypothesized that these potential health benefits are due in part to the presence of antioxidant compounds in these foods. These beneficial compounds, such as carotenoids, vitamin C, vitamin E, polyphenols, and selenium, have been grouped together as dietary antioxidants. However, despite this grouping, these compounds can differ considerably from each another. Other non-antioxidant nutrients in fruits and vegetables, such as fiber, potassium and folate, have also been associated with several beneficial health effects.28 The discussion of primary constituents in berries being considered regarding an effect on neurocognitive function is in the Results chapter, in response to the berries Key Question 1 regarding this topic.
Briefly, there is considerable research demonstrating the increased susceptibility of the aging brain to both oxidative stress and inflammation.29 Data from animal and in vitro studies suggests that among the many sources of antioxidants, phytochemicals (flavonoids, phenolic acids and terpenes, derived from plants) have a beneficial role with respect to brain aging and neurodegenerative disorders through the combination of their anti-oxidative, anti-inflammatory, anti-viral, anti-proliferative, and anti-carcinogenic properties.30 Since oxidative stress and inflammation appear to be involved in brain aging and in neurodegenerative disease states,29 it is theorized that increased consumption of antioxidants may be effective in preventing or ameliorating these changes.
This evidence report on B vitamins and berries and age-related neurodegenerative disorders is based on a systematic review of the literature. The Tufts-New England Medical Center Evidence-based Practice Center (Tufts-NEMC EPC) held meetings and teleconferences with a technical expert panel (TEP) to identify specific issues central to this report. The TEP was comprised of technical experts in basic and clinical research in neuroscience, nutrition, B vitamins, and berries. A comprehensive search of the medical literature was conducted to identify studies addressing the key questions. Evidence tables of study characteristics and results were compiled, and the methodological quality and the applicability of studies were appraised. Study results were summarized with both qualitative and quantitative reviews of the evidence, evidence and summary tables
A number of individuals and groups supported the Tufts-NEMC EPC in preparing this report. The TEP served as our science partner. It included technical experts, representatives from the Agency for Healthcare Research and Quality (AHRQ), and both the National Center for Complementary and Alternative Medicine (NCCAM) and the Office of Dietary Supplements (ODS) at the National Institutes of Health (NIH). The TEP worked with the EPC staff to refine key questions, identify important issues, and define parameters for the report. Additional clinical domain expertise was obtained through local experts who joined the EPC. A draft version of this report was critically appraised by a panel of peer reviewers.* Revisions were made based on their comments; although all statements within the report are those of the authors only.
The review process and the report have been structured to account for the separate, but parallel, issues related to the effects of B vitamins and of berries. Processes related to neuroscience and to understanding animal and in vitro studies occurred in conjunction with all team members and relevant TEP members, whereas those related to either B vitamins or berries specifically occurred separately. Because of the small amount of literature related to berries and neurocognitive outcomes, the report encompasses both interventions. The report Introduction, Results, and Discussion chapters are structured such that common issues and topics are discussed first, followed by B vitamins, and then berries.
What is the evidence regarding mechanisms of action of the B vitamins B1, B2, B6, B12, and folate (singly and in combination) for preventing, decreasing the rate of progression of, or reversing the neurological changes associated with age-related neurodegenerative conditions such as Parkinson's or Alzheimer's disease?
What is the evidence that the B vitamins B1, B2, B6, B12, and folate can prevent, decrease the rate of progression of, or reverse the neurological changes associated with age-related neurodegenerative conditions such as Parkinson's or Alzheimer's disease in humans
What adverse events in humans have been reported in the literature for supplementation with the B vitamins B1, B2, B6, B12, and folate?
Do the frequency of adverse events vary with source, dose, or other evaluated factors?
What are the constituents in berries with beneficial nerve- and brain-related health effects (from in vitro, animal, and human studies)?
In what other food sources are these constituents found?
What is the evidence regarding mechanisms of action of berry constituents for preventing, decreasing the rate of progression of, or reversing the neurological changes associated with age-related neurodegenerative conditions, including Parkinson's or Alzheimer's disease?
What is the evidence that the constituents of berries can prevent, decrease the rate of progression of, or reverse the neurological changes associated with age-related neurodegenerative conditions, including Parkinson's or Alzheimer's disease in humans
Is the source, species, dose, composition, characteristics, or processing of berries and berry constituents related to the effect of the intervention?
What adverse events in humans have been reported in the literature for the constituents in berries?
Do the frequency of adverse events vary with source, dose, or other evaluated factors?
To guide the assessment and synthesis of the literature, we used an expanded version of the generally-referred-to “PICO” method (Population, Intervention, Comparator, Outcomes) to define the parameters of interest. We used this approach for analysis of both human, animal, and in vitro studies. With input from the TEP, we asked the following questions to establish the literature review criteria:
What are the populations of interest?
What are the interventions of interest?
What are the comparators of interest?
What are the (marker/intermediate and clinical) outcomes of interest?
What are the health conditions of interest?
What are acceptable study designs?
In regards to both studies that examine putative mechanisms of action on neurodegenerative disorders and to studies that examine associations and effects in humans on neurodegenerative disorders, there is a very broad range of related topics that have been studied. In an iterative process, the EPC worked with the TEP to focus the questions and the topics on those that are most likely to shed light on mechanisms of action and effects related to Alzheimer's disease (AD), Parkinson's disease (PD) and related neurocognitive disorders. Thus this report does not evaluate all mechanisms of action or all associations related to neurological function. Given the very large number of studies (both human and animal) related to B vitamins, and the small number of studies of berries, these caveats apply primarily to B vitamin topics.
The following topics were chosen, in consultation with the TEP, for evaluation:
Association between B vitamin treatment/intake with diagnosis of AD or PD, cognitive function, or histopathology (primary prevention of disease)
Association between B vitamin treatment/intake with severity of AD or PD, cognitive decline, or histopathology. (secondary prevention/treatment)
Association of B vitamin levels and AD or PD diagnosis, or histopathology
Association of B vitamin levels and AD or PD severity
Association of B vitamin levels and cognitive function
Effect of B vitamin supplementation or deficiency on cognitive function, movement disorders, histopathology, L-dopa and pre-cursor levels, etc., in appropriate models
Effect of B vitamins on the expression or function of AD-related genes (presenilin, alpha-2 macroglobulin, amyloid precursor protein, Apo E4)
Blood brain barrier function in relation to B vitamins
Cerebrovascular endothelial function in relation to B vitamins
Thus, the following potential topics (among others) are not reviewed: B vitamin-dependent enzyme levels or function; markers of inflammation or other potential causes of neurocognitive decline, including homocysteine, except as they relate to the association between B vitamins and neurocognitive status; B vitamin megadose-related toxicity; animal studies using B vitamin antagonists, brain lipid metabolism, animal perinatal and growth-related brain/nerve/cognition development; genes related to B vitamin function or enzymes such as MTHFR; GABA metabolism, or neuron ion channels.
Berries. Given the small size of the relevant literature, all studies evaluating the effect or association of berries or constituents of berries with any neurological or cognitive outcome were included.
This report encompasses evaluations of both clinical human studies and basic science studies performed in animal and in vitro models. Therefore, specific eligibility criteria were needed for each topic. We first describe the common eligibility criteria for any study included in this report, followed by additional specific criteria for each topic.
Human Studies. The common inclusion criteria for human studies analyzed in this report consist of primary studies; English language publication, human adult subjects; analysis of the predictor or description, including quantification, of the intervention, and analysis of the following categories of outcomes: diagnosis or severity (degree) of AD, PD, other age-related neurocognitive disorder, or cognitive impairment; test of cognitive function. We excluded studies of mental retardation, including Down syndrome, Wernicke's encephalopathy, subacute combined degeneration, vascular dementia, acute encephalopathy, and mixed causes of dementia lacking separate analyses for disease types. Also excluded were studies of peripheral neuropathy and other lower motor neurodegeneration not related to PD. However, studies that compared groups of patients with age-related neurocognitive disorders with groups of patients with other dementias were included. We also excluded case reports and studies of non-applicable populations, such as young patients with diabetes. Abstracts without an associated full report were excluded. Where studies were reported in multiple publications, the more completely reported and/or the report with the longer duration of follow-up were used; although data from multiple publications of the same study may be combined.
Animal / In Vitro Studies. Animal and in vitro studies had to be published in full form, excluding abstracts, in English language journals. We included all animal and in vitro models of diseases of interest and all outcome measurements related to the outcomes and/or associations of interest. We excluded studies that used inappropriate animal or in vitro models, such as immature animals and non-neuronal cells.
Common criteria. The following B vitamins were investigated:
B1 (thiamine)
B2 (riboflavin)
B6 (pyridoxine and related compounds)
B12 (cyanocobalamin)
Folate
We included evaluations of the single vitamins and combinations of the B vitamins. We excluded evaluations of “multivitamins” that included vitamins other than B vitamins. Evaluation of B vitamins could be from supplements (given by any route), food sources, or specific tissue concentrations. Evaluated body levels included blood, serum, plasma, cerebrospinal fluid, or tissue sample (including red blood cell) levels of the specific vitamins and commonly measured metabolites (i.e., pyridoxal-5′-phosphate, the active coenzyme form of B6, and thiamine pyrophosphate, the active coenzyme form of B1). We allowed any measurement methodology. We did not include other proxies for B vitamin levels (e.g., thiamine-dependent enzyme activity).
Human intervention studies (trials). We included only prospective trials of clearly defined B vitamin interventions. We allowed randomized controlled trials (RCTs), prospective non-randomized comparative trials, and prospective cohort studies (single arm studies without a control group). We allowed trials of both supplements and food sources. We excluded studies of the effect of B6 intake on Parkinsonian symptoms and L-dopa levels in patients using L-dopa treatment. (This issue is discussed in the adverse events section of the results.)
Human association studies. Among studies that reported associations between B vitamin levels and neurocognitive outcomes, we included only those that included subjects with either AD or PD, or neurocognitive impairment, excluding studies focusing on cognitively normal populations. All studies, regardless of sample size, were included regarding PD or vitamins B1, B2, or B6 levels. For cross-sectional studies of either B12 or folate levels and subjects with either AD or cognitive impairment, we included only studies that evaluated both at least 100 subjects total and 30 subjects with AD or cognitive impairment (not including vascular dementia, mental retardation, etc.). However, we included all longitudinal studies, regardless of sample size.
For studies evaluating B vitamin intake (i.e., by food frequency questionnaires), we included only studies with at least 50 subjects. We chose this arbitrary threshold to as a minimum number of subjects required to ensure adequate power for associations to be investigated in these retrospective studies. Studies of food intake (from food frequency questionnaires) must have had comparison groups of subjects with different levels of neurocognitive function. In addition we excluded cross-sectional intake studies that examined only dietary intake of patients with dementia. These studies evaluated nutritional deficiencies caused by poor diet due to dementia, which was not considered to be of interest.
For both human intervention and association studies, we did not include evaluations of outcomes related to depression, other psychiatric conditions, sleep, appetite, or other somatic conditions. We evaluated only diagnoses or measures of cognitive function or symptoms of PD.
Animal / in vitro studies. We excluded animal or in vitro models specific to Wernicke's encephalopathy; namely models of thiamine deficiency combined with ethanol. Although, if sufficient data regarding thiamine deficiency without ethanol was also included, these studies were reviewed. We also excluded animal and in vitro models that caused or exacerbated B vitamin deficiency with B vitamin antagonists. In addition, “case reports” or “case series” of B vitamin deficiencies in farm animals were excluded.
Common criteria. After reviewing various definitions of berries and in consultation with the TEP, the following berries were included:
Bilberry
Black raspberry
Blackberry
Blueberry
Boysenberry
Cranberry
Currants
Gooseberry
Lingonberry
Marionberry
Raspberry
Strawberry
We recognized that these common terms for berries do not always match one-for-one with specific species. We allowed all fruits that are commonly designated among these berries. We included studies that used whole berries or specific constituents of berries. We did not include studies that evaluated constituents found in berries that were not derived from berries (e.g., purified quercetin).
Human studies. We included any study that examined the effect of or association between berries and any neurocognitive outcome in any population.
Animal / in vitro studies. We exclude studies using amphetamine- or lithium chloride-induced conditioned taste avoidance (CTA) as rats' learning or behavioral outcome. The CTA paradigm measures the avoidance by rats of a sucrose solution that has been paired with a high dose of a drug, such as amphetamine. The LiCl is used as a control. “Learned safety” theory is the mechanism of CTA results;31 it is not related to age-related cognitive or behavioral function.
Constituents in berries. Regarding the berry Key Question 1 on the constituents in berries related to neurological effects, we evaluated introduction and discussion sections from articles reviewed for other berry topics and also searched for both systematic and general reviews of the topic.
Adverse events. For both B vitamins and berries we included any adverse event data from otherwise evaluated human studies. We also reviewed other human studies that did not meet criteria for inclusion for other topics. In addition, we searched for both systematic and general reviews regarding adverse events in humans. We included all systematic reviews. General reviews were included on an ad hoc basis, depending on generalizability and adequacy of source material. We excluded adverse events related to pregnancy, children, contraception, cancer, and specific drug interactions (methotrexate, colon cancer chemotherapy, etc.). For berries, we also excluded allergies and issues related to food contaminants.
We conducted a comprehensive literature search to address the key questions.* Final literature searches for English language publications on B vitamins were conducted in MEDLINE® and the Commonwealth Agricultural Bureau (CAB) Abstracts™ on February 2, 2005 and for berries, in the same databases, on March 3, 2005. Search terms included subject headings and textwords with filters to limit the publications to English language. Subject headings and text words were selected so that the same set could be applied to both databases. The searches included both human, animal, and in vitro studies. Among the articles in MEDLINE®, specific article types were excluded, such as editorials, letters, and case reports, and other types that would not meet eligibility criteria.
Both the B vitamin and berry searches used a common neurocognitive model that included the following terms: nervous system diseases, cognitive disorders, neurodegeneration, dementia, Alzheimer, Parkinson, Lewy body, neuron/nerve cells, brain, and related terms.
The B vitamin search included both common and chemical names for all the B vitamins of interest. The berry search included both common and botanical names for all the berries of interest and the term “fruit,” excluding “fruit fly.” In addition, we included a list of 33 chemical terms for known berry constituents.
Additional studies were sought by contacting members of the TEP, and from reference lists of selected included articles and review articles and meta-analyses. Although the large majority of evidence regarding berries was from a single group of investigators, the decision was made with the TEP to maintain the restriction of eligible literature to published, peer-reviewed articles.
All citations identified through the literature search were screened according to the inclusion criteria. A low threshold for acceptance was used at this stage to maximize the retrieval of potentially useful studies. Retrieved articles were evaluated against the complete inclusion criteria.
A single reviewer extracted each eligible study.* Data extraction problems were addressed during weekly meetings. Occasional sections were re-extracted to ensure that uniform definitions were applied across extracted studies. Problems and corrections were noted through spot checks of extracted data and during the creation of summary and evidence tables. A second reviewer independently verified the data in the summary tables using the original article.
The same data extraction forms were used for both the B vitamin and berry articles.
Human Studies. Two data extraction forms were created for human studies; one for interventions, and one for associations. These forms were designed in the format of an evidence table to allow simple conversion to these tables. In both forms, items extracted included: factors related to study characteristics (study design, duration, country, setting, funding source), population (age, sex, race), eligibility criteria, definitions of neurocognitive disorders, study sample (number enrolled, number analyzed, reasons for dropout), descriptions of interventions or predictors and of outcomes, limitations, comments, and an assessment of both study quality and applicability (see below).
Intervention forms also captured results data related to baseline, follow-up, change, and net change in outcomes, along with standard deviation or standard error and statistical significance. Association forms captured results data related to mean outcome values of different groups, correlation values (r, odds ratio, relative risk, hazard ratio, etc.), and statistical significance of either differences or associations.
Animal and In Vitro Studies. Animal and in vitro studies are usually designed to examine the proposed mechanisms or pathways for the observed effects of a substance on defined diseases or conditions in humans. These studies are generally not meant to provide precise estimates of effects, but instead to test alternative hypotheses. Therefore, the process in reviewing animal and in vitro studies is different than reviewing human clinical or epidemiological studies. In contrast to traditional systematic reviews of human studies where large heterogeneity across studies related to different models and outcomes being examined can be problematic, in basic science studies heterogeneity (such as different models) across studies is essential to test and eliminate alternative hypotheses (such as different outcomes), so long as the central hypothesis (e.g., the physiological application) is related.
Thus, the goal of data extraction for these articles was not to extract the exact quantitative findings of each study. Instead, we extracted the following information to capture the concepts of importance. Namely,
What is the central hypothesis or stated purpose of the study?
What is the authors' assessment of the gap between what is known and unknown?
What is the working model used in the study?
What is the study design (including characteristics, intervention, comparator, and outcomes, sample size, duration)?
What are the measurements or outcomes?
What are the results and authors' conclusions?
What is the quality (including limitations) of the study?
Studies accepted in evidence reports have been designed, conducted, analyzed, and reported with varying degrees of methodological rigor and completeness. Deficiencies in any of these components can lead to biased reporting and interpretation of the results. While it is desirable to grade individual studies to highlight the degree of potential bias, the grading of study quality is a challenging process. Most factors commonly used in quality assessment of RCTs do not demonstrate a consistent relationship to estimates of treatment effects.32 Thus, there is still no uniform approach to grade studies. For human studies of both B vitamins and berries, our EPC has adopted the following approach, as used in previous evidence reports.
We used a 3-category grading system (A, B, C) to denote the methodological quality of each study. This grading system has been used in most of the previous evidence reports from the Tufts-NEMC EPC as well as in evidence-based clinical practice guidelines.33 This system defines a generic grading system that is applicable to varying study designs including RCTs, non-randomized comparative trials, cohort, and case-control studies:
Category A studies have the least bias and results are considered valid. A study that adheres mostly to the commonly held concepts of high quality including the following: clear description of the population, setting, interventions and comparison groups; sufficient power (arbitrarily defined as minimum sample size of 10 subjects); clear description of the content of the intervention or predictor used; appropriate comparator; appropriate measurement of outcomes; appropriate statistical and analytic methods and reporting; no reporting errors; less than 20% dropout; clear reporting of dropouts; and no obvious bias. Intervention trials must be double-blinded RCTs. Correlation analyses must use prospectively gathered data and must perform appropriate adjustment for potential confounders.
Category B studies are susceptible to some bias, but not sufficient to invalidate the results. They do not meet all the criteria in category A because they have some deficiencies, but none likely to cause major bias. The study may be missing information, making it difficult to assess limitations and potential problems.
Category C studies have significant bias that may invalidate the results. These studies have serious errors in design, analysis or reporting, have large amounts of missing information, or discrepancies in reporting. Specific criteria included large (>20%) or unequal dropout rate, large discrepancy in baseline and final numbers of subjects, non-randomized or single-cohort intervention studies, dissimilar baseline values among cohorts, unclear duration or numbers of subjects, missing baseline data, or irreconcilable apparent differences between data in figures, tables, and text.
In addition, cross-sectional association studies (between vitamin B level and either diagnosis or cognitive test score) that did not adjust for any potential confounders (i.e., performed only univariate analyses without relevant sub-analyses).
Methodological quality scoring was performed near the end of the review when we had the most experience and knowledge about the included studies. Each included study was graded by at least 2 people (with the exception of studies with major deficiencies, such as a non-comparative study design). When there were disagreements, 1 or 2 additional reviewers graded the studies and consensus was reached. Approximately half the studies had quality scoring by 3 or more reviewers.
Although we used the same 3-category grading system (A, B, C) to denote the methodological quality of each study, the criteria used to assess the methodological quality of animal or in vitro studies are different from those used for human studies. Compared to human clinical trials, randomization of treatments and blinded analysis may be essential, but is often not applicable to animal or in vitro experiments. Therefore, we did not incorporate these factors into our quality grading system. This system defines a generic grading system that is applicable to both animal and in vitro studies:
Category A studies have the least bias and results are considered valid. A study should report comprehensive background information on animals or cell lines used. For animals, the information should include the animal source, strain, sex, age, body weight, housing condition (diet, light/dark cycle, number of animals per cage), and experimental environment (ambient temperature, time of day, and season). For cell lines, the information should include the origin, growth media, and experimental environment. The number of animals in the experiments and animals excluded from a study, and the reasons for their exclusion, must be reported. Controls should be contemporary and preferably be approximately equal in group size to the intervention groups. Treatments (e.g., the compositions of experimental and control diets) and outcome measures should be clearly defined and reported. Experimental models should be independent of each other. All experiments should have at least one repetition.
Category B studies are susceptible to some bias, but not sufficient to invalidate the results. They do not meet all the criteria in category A because they have some deficiencies, but none likely to cause major bias. The study may be missing information, making it difficult to assess limitations and potential problems.
Category C studies have significant bias that may invalidate the results. These studies have serious errors in design, analysis or reporting, have large amounts of missing information, discrepancies in reporting or irreconcilable apparent differences between data in figures, tables, and text.
Only human studies were assessed for applicability. For animal and in vitro studies, no assessment was made as to the applicability of the experimental model.
Applicability addresses the relevance of a given study to a population of interest. Every study applies certain eligibility criteria when selecting study subjects. Most of these criteria are explicitly stated (e.g., disease status, age, sex). Some may be implicit or due to unintentional biases, such as those related to study country, location (e.g., community vs. specialty clinic), or factors resulting in study withdrawals. The question of whether a study is applicable to a population of interest (such as Americans) is distinct from the question of the study's methodological quality. For example, due to differences in the background diets, an excellent study of Japanese men may be very applicable to people in Japan, but less applicable to Japanese American men, and even less applicable to African American men. The applicability of a study is thus dictated by the questions and populations that are of interest to those analyzing the studies.
In this report, the focus is on individuals at increased risk for, or diagnosed with, age-related neurocognitive disorders; in particular AD or PD. Even though a study may focus on a specific target population, limited study size, eligibility criteria, and the patient recruitment process may result in a narrow population sample that is of limited applicability, even to the target population. To address this issue, we categorized studies within a target population into 1 of 3 levels of applicability that are defined as follows:
Sample is representative of the target population. It should be sufficiently large to cover both sexes, an appropriate age range, and other important features of the target population (e.g., general health status). At least 30 subjects analyzed.
Sample is representative of a relevant sub-group of the target population, but not the entire population. Limitations include such factors as narrow age range, single ethnicity, setting that applies to only a portion of the population (e.g., nursing home). At least 10 subjects analyzed.
Sample is representative of a narrow subgroup of subjects only, and is of limited applicability to other subgroups. For example, a study of the oldest-old men or a study of a population on a highly controlled diet.
For both human intervention studies and animal / in vitro studies we evaluated all outcomes relevant to neurocognitive function that were reported in studies. However, for human association studies regarding cognitive function, in consultation with the TEP, we focused the detailed evaluation to a limited number of outcomes. A large number of tests of cognitive function have been used by different study groups. Few of these have been validated in any systematic way. Interpretation of tests used by single groups or that have not been validated can be problematic. Thus we evaluated in detail the following tests of cognitive function:
Mini-mental status examination (MMSE) and modifications
Alzheimer's Dementia Assessment Scale (ADAS)
Mattis' Dementia Rating Scale (DRS)
Wechsler Adult Intelligence Scale (WAIS)
Other cognitive tests are summarized qualitatively only. All relevant outcomes in studies of patients with PD are reported in detail, as are all associations between B vitamin levels and diagnoses of cognitive disorders.
Human Intervention Trials. For controlled intervention trials the summary tables describe 3 sets of data: the mean baseline levels in both intervention and control arms, within-cohort changes (e.g., InterventionFinal - InterventionInitial), the net change of the outcome, and the reported P values of both the within-cohort change and the net change. The net change of the outcome is the difference between the change in the intervention arm and the change in the control arm:
Net change = (InterventionFinal - InterventionInitial) - (ControlFinal - ControlInitial). For non-controlled interventions, we report the within-cohort changes and P values. For both types of studies we did not calculate any P values, but, when necessary, used provided information on the 95% confidence interval or standard error (SE) of the net difference to determine whether it was less than 0.05. We included any reported P value less than 0.10; those above 0.10 and those reported as “non-significant” were described as “NS” (non-significant) in the tables.
Human Association Studies. For studies reporting mean B vitamin levels, mean cognitive function scores, or prevalence of disease in different groups of patients, these values are included in summary tables along with reported P values of differences among the groups. For studies that reported further analyses, such as odds ratio or relative risk, or correlation (r) between, for example, B vitamin level and cognitive test score, these values are reported, along with their statistical significance. When available, both unadjusted and adjusted values are included.
Animal / In Vitro Studies. Numerical results are not reported for the basic science studies. We aimed to capture the direction and the statistical significance of all outcomes. For each analysis we report a symbol for the effect and the statistical significance (when reported). We used the following symbols:
+ Normal B vitamin animals/tissue performed better than B vitamin-deficient animals/tissue, or
Berry-fed animals/tissue performed better than non-berry-fed animals/tissue
0 No difference in performance
- Normal B vitamin animals/tissue performed worse than B vitamin-deficient animals/tissue, or
Berry-fed animals/tissue performed worse than non-berry-fed animals/tissue
The assessment of whether animals or tissue receiving the intervention performed better than controls was made based on a combination of the reported results, the statistical significance, and the conclusions of the authors.
Units. For measures of B vitamin levels, the original units reported in the study were included in the evidence tables. However, all such measurements were converted to standard units (e.g., mg/dL) in the summary tables to facilitate comparisons.
The evidence table offers a detailed description of the studies that addressed each of the key questions. The evidence table is available via the internet.* The tables provides all the information that was extracted from each study (as described above, under Data extraction). Each study appears once regardless of how many interventions or outcomes were reported. The evidence tables of human studies are ordered alphabetically by the first author, then by publication date. The evidence tables of animal and in vitro studies are categorized by topic and ordered chronologically, so as to capture the sequence of the research.
Summary tables are included in each Results section. They succinctly report summary measures of the main outcomes evaluated. They include information regarding study duration (as applicable), study size, intervention and control, outcomes, results, methodological quality, and study applicability. They are designed to facilitate comparisons and synthesis across studies. Studies reporting multiple predictors (e.g., B vitamins) may appear several times in summary tables. Blank cells indicate that the relevant data were not reported in the articles.
Studies that did not report detailed reports of interest to this report are included in the summary tables. The qualitative results - whether a significant or non-significant association - are included either as a paraphrase of or direct quote from the authors.
Within summary tables of human studies, studies were ordered first by outcome test (for cognitive tests: MMSE, ADAS, DRS, WAIS, then others), then from highest quality to lowest, then from highest applicability to lowest, then from largest to smallest number of subjects. Summary tables of animal and in vitro studies are ordered chronologically.
We used the term adverse event as defined by the World Health Organization (WHO) International Conference on Harmonization. An adverse event is “any untoward medical occurrence in a patient or clinical investigation subject administered a pharmaceutical product and which does not necessarily have to have a causal relationship with this treatment. An adverse event can therefore be any unfavorable and unintended sign (including an abnormal laboratory finding, for example), symptom, or disease temporally associated with the use of a medicinal product, whether or not considered related to the medicinal product.” An adverse drug reaction is any “noxious and unintended response to a medicinal product related to any dose...” (www.fda.gov/cder/guidance/iche2a.pdf).
We reviewed all accepted and rejected human studies of either B vitamins, berries, or berry constituents being used as an intervention for data on adverse events and drug interactions. These reports included randomized trials, cohorts, case-control studies, and individual case reports and series. We excluded allergies (except for anaphylaxis) and occupational exposures.
Since adverse event reporting was very limited among the reviewed studies, we also performed searches for both systematic reviews and review articles regarding adverse events due to either B vitamins or berries. We also performed a search of articles on berries that have been tagged by MEDLINE® or CAB Abstracts™ as addressing adverse events.
In this section, we summarize the results from human and animal or in vitro studies of the B vitamins - B1 (thiamine), B2 (riboflavin), B6 (pyridoxine and related chemicals), B12 (cobalamin), and folate - in relation to age-related neurodegenerative disorders (primarily Alzheimer's disease [AD] and Parkinson's disease [PD]). The three Key Questions to be answered are as follows:
What is the evidence regarding mechanisms of action of the B vitamins B1, B2, B6, B12, and folate (singly and in combination) for preventing, decreasing the rate of progression of, or reversing the neurological changes associated with age-related neurodegenerative conditions such as Parkinson's or Alzheimer's disease?
What is the evidence that the B vitamins B1, B2, B6, B12, and folate can prevent, decrease the rate of progression of, or reverse the neurological changes associated with age-related neurodegenerative conditions such as Parkinson's or Alzheimer's disease in humans
What adverse events in humans have been reported in the literature for supplementation with the B vitamins B1, B2, B6, B12, and folate?
Do the frequency of adverse events vary with source, dose, or other evaluated factors?
Findings are presented in the order of the Key Questions.
The final search of MEDLINE® and CAB Abstracts™ yielded 6,640 citations. This search included human, animal, and in vitro studies. After screening of the titles and abstracts, 183 articles on human studies and 87 articles on animal or in vitro studies. An additional 15 human studies and 1 animal study were found from review articles, study reference lists, and domain experts. From these, 83 human studies and 27 animal or in vitro studies were included in this review. However, though the review covers both neurocognitive function related to AD and related diseases and the movement disorders and motor systems degeneration related to PD and related diseases, only scant evidence was found regarding PD-related conditions.
Qualifying studies are presented in summary tables in the appropriate sections. Details regarding all included studies are available in the evidence tables.*
| Study, Year | Model Age/Weight | Duration | Intervention (B1 dose) | N | Control (B1 dose) | N | Neurocognitive Test / Clinical Pathology | Results | P | Histology Measure | Results | P | Quality | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jolicoeur, 1979 (2 papers) | Rats | Male Sprague Dawley, 275–350 g | 44 days | 0 | 6 | Purina Rat Chow (nd) | 6 | Neurological pathologyc followed by deaths | + | <.05 | B | |||
| Catalepsy, rigidity, and landing foot spread | 0 | |||||||||||||
| Zimitat, 1990 | Rats | Female Wistar, 9 wk | 35 wk | 0 | 36/11d | 8 or 50 mg/kg of diete | 36/17d | Ataxia, opisthotonus, moribund | + | <.001 | Hemorrhages, necrosis & vacuolationg | + | nd | B |
| Terasawa, 1999 | Rats | Wistar, 260–300 g | ~42 days | 30mg/100g of diet | 5 | 60mg/100g of diet | 5 | Time to lever press to stop aversive electrical stimulation | + | nd | C | |||
| Ciccia, 2000 | Rats | Male Sprague Dawley, ~2 mo | 8 mo | Vitamin-fortified chow + 3 episodes of TD, each of which lasted ~4.5 wk at wk 10, 18, and 26 of treatment | ~12f | Vitamin-fortified chow + 1 mg/kg BW i.p. 3 times/wk (Monday, Wednesday, Friday) | ~14f | Response time of spontaneous activity | 0 | B | ||||
| Spontaneous alternation | 0 | |||||||||||||
| NMTP acquisition trials | 0 | |||||||||||||
| Delayed NMTP trials | 0 | |||||||||||||
| Reversal learning MTP | 0 | |||||||||||||
| Delayed MTP trials | + | <.0001 | ||||||||||||
| 2nd reversal learning | 0 | |||||||||||||
| Overall task failure rate | + | nd | ||||||||||||
| Clinical signs of neurological or behavioral disturbances | + | nd | ||||||||||||
Model=Animal, Strain; BW = body weight; i.p. = intraperitoneal; NMTP = nonmatching-to-position; MTP = matching-to-position; wk = week
Less locomotor activity, lost the righting reflex, displayed impaired weight shift responses
Number tested for clinical symptoms / Number tested for histopathology
Control group = 8 mg/kg, 2 thiamine fortified groups = 50 mg/kg. No difference among these groups
At different stages of behavioral testing, 5 control rats and 2 thiamine deficient rats either died of unknown causes or developed tumors and were killed. Thus, group sizes reported on each behavioral task are different
Pathologies seen primarily in the medial vestibular nucleus
Normal thiamine animals performed better than thiamine-deficient animals
No difference between groups
Normal thiamine animals performed worse than thiamine-deficient animals
| Study, Year | Model Age/Weight | Duration | Intervention (B6 dose) | N | Control (B6 dose) | N | Neurocognitive Test | Groups | Results | P | Quality | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tunnicliff, 1972 | Mice | Male C57BL/6J & DBA/2J inbred strain, 9 wk | 4 wk | 3 μg/day B6-HCla | 15 | None | Active escape learning: mean score & variance | All | 0 | B | ||
| 15 μg/day B6-HCla | 20 | Passive avoidance learning: mean score & variance | All | 0 | ||||||||
| 150 μg/day B6-HCla | 15 | Locomotor activity: mean score | All | 0 | ||||||||
| Locomotor activity: variance | 3 μg | Ref | ||||||||||
| 15 μg | - | <.01 | ||||||||||
| 150 μg | + | <.01 | ||||||||||
| Driskell, 1973 | Rats | Female, 220 g | 3 wk | 15 μg/15 g diet | 6 | None | 6 | Activity and curiosity | 15 μg | - | <.01 | A |
| 30 μg/15 g diet | 6 | 30 μg | - | <.01 | ||||||||
| 45 μg/15 g diet | 6 | 45 μg | 0 | |||||||||
| 60 μg/15 g diet | 6 | 60 μg | ||||||||||
| 75 μg/15 g diet | 6 | 75 μg | ||||||||||
| 90 μg/15 g diet | 6 | 90 μg | ||||||||||
| T maze | All | 0 | ||||||||||
B6-HCl = pyridoxine hydrochloride; i.p.= intraperitoneal
The amount of B6 was estimated based on each animal drank approximately 5 mL of water and ate about 5 g of food each day
B6 supplemented animals performed better than normal B6 (or reference) animals, or normal B6 animals performed better than B6-deficient animals
No difference between groups
B6 supplemented animals performed worse than normal B6 (or reference) animals, or normal B6 animals performed worse than B6-deficient animals
| Study, Year | Model Age/Weight | Duration | Intervention (B12 dose) | N | Control (B12 dose) | N | Neurocognitive Test | Results | P | Quality | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Masuda, 1998 | Rats | Wistar w/ NBM lesions | 10–18 days | 1.0 mg/kg | 10 | Standard rat chow (0.001 mg/kg B12) | 10 | Spontaneous movements | 0 | A | |
| Morris water maze - Acquisition | 0 | ||||||||||
| Morris water maze - Retention | 0 | ||||||||||
i.p. = intraperitoneal; NBM = nucleus basalis magnocellularis; Model = Animal, Strain or cell
B12 supplemented animals performed better than normal B12 animals
No difference between groups
B12 supplemented animals performed worse than normal B12 animals
| Study, Year | Model Age/Weight | Duration | Intervention (folate dose) | N | Control (folate dose) | N | Neurocognitive test | Results | P | Biochemical / Histology measure | Results | P | Quality | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Deficient - normal animal model | ||||||||||||||
| Kim, 2002 | Rats' brains | Male Sprague Dawley, 6 mo | 8 wk | 0 | 8 | 4 mg folate/kg diet | 8 | Degenerative appearance of cerebrocortical microvascular wall | + | nd | A | |||
| Duan, 2002 | Mice | C57B1/6, 2 mo, 21–23 g | 3 mo | 0 | 10 | 2 mg folate/kg diet | 10 | Rotarod apparatus (time) | 0 | Loss of dopaminergic neurons in substantia nigra | 0 | A | ||
| Rotarod apparatus (number of falls) | 0 | |||||||||||||
| Deficient - Parkinson's disease model | ||||||||||||||
| Duan, 2002 | Mice | C57B1/6 2 mo / 21–23 g | 3 mo | 0 mg folate/kg diet + 2 i.p. MPTP (20 mg/kg B.W.) | 10 | 2 mg folate/kg diet + 2 i.p. MPTP (20 mg/kg B.W.) | 10 | Rotarod apparatus (time) | + | <.01 | Loss of dopaminergic neurons in substantia nigra | + | <.01 | A |
| Rotarod apparatus (number of falls) | + | <.01 | ||||||||||||
| Deficient - Alzheimer's disease model | ||||||||||||||
| Kruman, 2002 | Mice | “Swedish” APP mutant, 7 mo | 3 mo | 0 mg folate/kg + 4.5 gm/kg Hcy diet | nd | Standard mouse diet (folate: nd; Hcy : 0 mg/kg diet) | nd | Aβ deposition | 0 | B | ||||
| Aβ1–42/Aβ1–40 ratio | 0 | |||||||||||||
| Loss of neurons in regions CA3 of hippocampus | + | <.0001 | ||||||||||||
| Loss of neurons in regions CA1 of hippocampus | 0 | |||||||||||||
i.p. = intraperitoneal; Model=Animal, Strain; B.W.=body weight; APP=amyloid precursor protein; Hcy=homocysteine; Aβ=amyloid β-peptide; mo = months; wk = weeks
Normal folateanimals performed better than folate deficient animals
No difference between groups
Normal folate animals performed worse than folate deficient animals
| Study, Year | Model Age/Weight | Duration | Intervention (vitamin B dose) | N | Control (Vitamin B dose) | N | BBB or cerebrovascular endothelial function outcomes | Results | P | Quality | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Thiamine deficiency in normal animals | ||||||||||||
| Warnock, 1968 | Rats | Male S D, 50–65 g | nda | “Thiamine deficient diet” | 15 | “Thiamine adequate diet” | 10 | Pyruvate-2-14C entered the brain directly in adult thiamine deficient animals | + | nd | B | |
| Robertson, 1971 | Rats | Female Long Evans or Wistar Furth strains, Immature | 28–46 days | Synthetic thiamine-free diet (0) | 46 | Intervention diet w/ thiamine HCl 40 μg/100 g B.W. i.p. | 10 | Integrity of BBB with respect to absence of extra-vascular plasma proteins | Early stage of TD: slight edema; marked spongy reticulation | Refc | <.001 | B |
| Late stage of TD: hemorrhages, tissue degradation and neuronal fallout | + | |||||||||||
| Manz, 1972 | Rats | Female Wistar Furth strains, Immature | 30–45 days | Synthetic thiamine-free diet (0) | 37 | Intervention diet w/ thiamine HCl 40 μg/100 g B.W. i.p. | 12 | Diffuse parenchyma-tous infiltration of the vestibular area | Controls and early stage of TD (edema only) | Ref | <.001 | A |
| Late stage of TD: hemorrhage and necrosis | + | |||||||||||
| Peroxidase was deposited in the contraluminal side basement membrane zone of intercellular gaps, but interendothelial junctional complexes were morphologically intact, in rat brains with late stage of TD | nd | |||||||||||
| Folate Supplementation in deceased animals | ||||||||||||
| Lee, 2004 | Ratsb | Male S-D, 8 wk | 2 wk | 8 mg/kg diet + 0.3% Hcy | 6 | 0.3% Hcy | 6 | Cerebral expression level of GLUT-1 | + | .04 | A | |
| Cerebral expression level of VCAM-1 | - | .04 | ||||||||||
| Endothelial nitric oxide synthase | + | .04 | ||||||||||
| Lee, 2005 | Ratsb | Male S-D, 8 wk | 8 wk | 8 mg/kg diet + 0.3% Hcy | 4 | 0.3% Hcy | 4 | Cerebral expression level of GLUT-1 | + | <.05 | A | |
| Damaged cerebral capillary wall structure | + | nd | ||||||||||
| % Damaged vessels in the hippocampus | + | <.05 | ||||||||||
BBB = blood brain barrier; S-D=Sprague-Dawley; Hcy=homocysteine; GLUT-1=glucose transporter protein; VCAM 1= vascular cell adhesion molecule; i.p.= intraperitoneal; B.W.=body weight; TD=thiamine deficiency
At first signs of polyneuritis
Rats were fed a diet with 0.3% Hcy for 2 weeks before allocated to the intervention or control diets described in the table. All rats had induced hyperhomocysteinemia before the allocation.
Extravascular fluorescence was not seen in control animals (n=10)
B vitamin deficient animals have abnormal function while normal B vitamin animals have normal function, or B vitamin supplemented animals have better function than normal B vitamin animals
No difference between groups
B vitamin supplemented animals have worse function than normal B vitamin animals
Thiamine (B1). The overall findings of the effects of thiamine deficiency are summarized in Figure 1
Summary. Of the four studies that used thiamine-deficient models, two examined the rats' clinical status and/or histopathology after thiamine-depletion diets and all found that thiamine-depletion diets significantly damaged brain and/or cause serious neurological pathology, including death. The remaining two studies that examined rat performance in neurocognitive tests found that thiamine deficiency had significantly impaired performance in some neurocognitive tests.
Two studies used a B6-supplementation model in mice or rats to examine the effects of B6 treatments on performance in neurocognitive tests. Both studies that used the B6-supplementation model examined various doses of B6 supplementation on animal performance in neurocognitive tests. No significant effects of B6 supplementation were found on rats learning or cognitive function. Dietary B6 supplementations showed some positive effect on animal motor function or behavior, although the effects were not consistent across the two studies and did not show a linear dose-response relationship.
One study showed that low dose (1 mg per kg diet) vitamin B12 supplementation alone had no significant effect on spontaneous movements and did not improve memory in rats with NBM lesions.
Of the three studies that examined the effects of folate deficiency on animal performance in neurocognitive tests and brain neurotransmitters or histopathology, two used a normal animal model, one each used a PD model and an AD model. Results from the normal animal model showed a degenerative appearance of the cerebrocortical microvascular wall was shown in rats fed a folate-deficient diet for 8 weeks, but 3-month folate-deficient diet did not impair rats' performance on rotarod tests. The one study that tested the effects of folate deficiency using a rat model of PD found that mice which had been maintained on the folate-deficient diet exhibited profound motor dysfunction induced by MPTP, in contrast to mice on the control diet that were resistant to the sub-toxic dose of MPTP. The results from the one study that used an AD model to examine the effects of folate deficiency on brain histology findings in APP mutant mice suggested that folate deficiency renders hippocampal CA3 neurons in APP mutant mice vulnerable to death by a mechanism that dose not involve increased amyloid β production or deposition.
We found no study that examined the effects of riboflavin (B2) or mixed B vitamin treatments on outcomes of interest.
Overall, research has shown that there were negative effects of thiamine and folate deficiency or deprivation on animal's clinical status and/or histopathology, although not all deficient animals had worse performance in neurocognitive tests. Studies have found some positive effects of the supplementations of B6, B12, and folate on animal's performance in neurocognitive tests, but studies did not show a dose-response relationship. Only folate deficiency was examined in animal models of AD and PD; the results showed a synergistic effect with both PD and AD pathology.
Summary Findings From Studies Using Immature Animals. Eight studies in nine publications were not included in detail in this review because immature rodents were used.43–51 In these studies, young rodents were treated for a short period time and tested before their growth ceased. Though these studies are not applicable to questions concerning “age-related neurodegenerative” changes, it is of interest how these studies compare to those with more appropriate models. Of the eight studies, three used thiamine-deficient models, two used B6-deficient models, two used a B12-supplementation model, and one used folate-deficient model. The results from these studies were similar to those summarized in this report. Detailed data can be found in the evidence tables.*
Study Descriptions. Only one animal study with 3 publications52–54 and one in vitro study55 examined the effects of B vitamins on the expression or function of AD-related genes. Both are of high quality.
Overall Effects. Shea et al. published a series of papers to test a hypothesis that deficiencies in apolipoprotein E gene (ApoE) function are associated with increased oxidative stress in the central nervous system (CNS). ApoE can promote neuronal survival and outgrowth and may play important roles in adaptive responses to aging and brain injury.11 The experiments were carried out by comparing the responses of transgenic mice lacking ApoE with those of normal mice of the identical genetic background to dietary oxidative stress induced by folate deprivation and by inclusion of excess iron in their diet. The mice used in this series of experiments were overlapped. (The source of this information was a personal communication with the authors.) Both transgenic mice and normal mice were fed either an experimental diet (without folate) or a control diet (with 4 mg folic acid per kilogram of diet) for 1 month; then harvested total CNS tissue was analyzed for thiobarbituric acid-reactive substances (TBARS, an end-point index of oxidative damage), and total antioxidant capacity in CNS. ApoE-deficient mice were found to have significantly increased TBARS when challenged with iron (which induces oxidation) in the absence of folate, in contrast to ApoE-deficient mice challenged with iron in the presence of folate and to normal mice, regardless of folate or iron status. Furthermore, antioxidant capacity was lower in ApoE-deficient mice receiving iron in the absence of folate compared to same mice receiving folate or compared to normal mice, regardless of folate status. These results suggest that the genetic deficiency of a complete absence of ApoE could be alleviated with 4 mg/kg body weight folic acid repletion for 1 month. This is proposed as a partial explanation as to why certain ApoE alleles are associated with increased prevalence and earlier onset of AD.
Fuso 2005 conducted an in vitro study using neuroblastoma cell lines and examined the effects of folate and vitamin B12 deficiency on AD gene and protein expression. Specifically, they examined APP, presenilin-1 (PS1) and presenilin-2 (PS2), the genes linked to familial AD.11 For the purpose of this review, we chose the most appropriate comparisons for our questions of interest, which were the results from cells grown in the vitamin deprived media versus cells grown in the differentiation media, because the only difference in the contents of these two media are the amount of folate and B12. The results showed that folate and vitamin B12 deprivation did not change APP or PS2 gene and protein expressions, but increased PS1 gene and protein expression.
Summary. A series of animal experiments showed that ApoE-gene knockout mice are less capable of buffering oxidative challenge in CNS than the normal mice, and the genetic deficiency of a complete absence of ApoE could be alleviated with folate repletion. The results from the other in vitro study demonstrated that an increase in PS1 gene could be induced by folate and vitamin B12 deprivation. The other genes involved in APP processing, and APP itself seemed to be independent of folate and vitamin B12 deprivation.
Thiamine (B1) deficiency. Warnock 1968 examined pyruvate metabolism and the differences in pyruvate transport across BBB, comparing normal rats to thiamine-deficient rats.58 The results showed that labeled pyruvate entered the brain directly in adult thiamine-deficient animals, while it did not directly enter the brain of normal adult animals. This indicated that selective transport across BBB was not functioning in a normal fashion in thiamine-deficient rats. Robertson 1971 evaluated the presence or absence of extravascular fluorescence bound to intraperitoneally administered bovine albumin in relation to the severity of BBB lesions.60 They found that extravascular fluorescence was present in one of 24 rat brains from animals with early stage of thiamine deficiency (as indicated histologically by slight edema, or more marked spongy reticulation, frequently accompanied by vascular congestion). Extravascular fluorescence was present in 12 of 22 rat brains from animals with late stage of thiamine deficiency (as indicated histologically by hemorrhages, tissue degradation and neuronal fallout). There was no extravascular fluorescence seen in rat brains from control animals. These results suggested that BBB is intact with respect to albumin in the early lesions of thiamine deficiency. Thus intracellular edema associated with early deficiency results from a defect in cell membrane transport rather than a vascular leak of the inflammatory type across BBB. A follow-up study by Manz 1972 employed a similar protocol to further define the nature and sequence of permeability changes of the BBB, using horseradish peroxidase (a low molecular weight protein marker).59 It was found that control rats and rats with early stages of thiamine deficiency had “qualitatively and quantitatively” the same pattern of peroxidase granules in phagocytes. None of the rats with early stage of thiamine deficiency had parenchymatous infiltration, while 21 of 30 rats with late stage thiamine deficiency did. Furthermore, control rats and rats with early stage of thiamine deficiency were devoid of peroxidase in the vascular basement membrane and the neural parenchyma. Although the interendothelial junctional complexes were morphologically intact in rats with late stage of thiamine deficiency, reaction product was deposited in the contraluminal side basement membrane zone of intercellular gaps. These results suggested that BBB damage seen in later stages corresponds to damage seen from cold-injury edema and other models of cerebral edema. The leakage of BBB appears to be predominantly through the mechanism of pinocytosis (introduction of fluids into a cell by invagination of the cell membrane, followed by formation of vesicles within the cells), not disruption of interendothelial junctions.
Folate supplementation. Lee et al. conducted a series of studies to examine the effects of dietary folate supplementation on cerebral endothelial function and cerebral vascular damage induced by hyperhomocysteinemia in vivo. Before allocation to dietary intervention, all rats were fed a diet with added homocysteine (3.0 g per kg diet) for 2 weeks to induce hyperhomocysteinemia along with the hyperhomocysteinemia-induced cerebrovascular endothelial dysfunction. The first study found that 2 weeks of dietary folate supplementation significantly ameliorated the hyperhomocysteinemia-induced cerebrovascular endothelial dysfunction, characterized by reduced endothelial nitric oxide synthase (eNOS) activity and glucose transporter protein (GLUT-1) activity. Specifically, the level of brain eNOS protein expression increased by 44 percent (P=0.04) and the GLUT-1 level increased by 27 percent (P=0.04), in the comparison of rats fed an additional 8 mg per kg diet of folate to those on homocysteine diet. However, an unexpected result was observed for the cerebral content of the vascular cell adhesion molecule (VCAM-1). Rats fed an additional 8 mg per kg diet of folate had a 43 percent (P=0.04) decrease in VCAM-1 level. A subsequent study evaluated the effects of 8 weeks of dietary folate supplementation on cerebral vascular damage induced by hyperhomocysteinemia in vivo, in particular, investigating the structural features of the cerebral vasculature by electron microscopy. Consistent with the results from the first study, folate supplementation significantly increased the cerebral GLUT-1 protein, which had been decreased by a homocysteine diet. In the folate supplemented group, damaged vessels, annihilation of cell organelles, degeneration of mitochondrial bilayer, and perivascular detachment were also observed, although the damage of the cerebral vasculature was described as “more serious” in rats fed homocysteine-supplemented diet. In addition, dietary supplementation with folate for 8 weeks significantly reduced the percentage of damaged vessels.
Summary. Three studies examined BBB transport and permeability showed an abnormal selective transport of pyruvate across BBB in adult thiamine-deficient animals and intracellular edema associated with early deficiency results from a defect in cell membrane transport rather than a vascular leak of the inflammatory type across BBB. The leakage of BBB appears to be predominantly through the mechanism of pinocytosis, not disruption of interendothelial junctions. Two studies examined the effects of dietary folate supplementation on cerebral endothelial function and cerebral vascular damage induced by hyperhomocysteinemia in vivo. The results suggest that folate supplementation may ameliorate the hyperhomocysteinemia-induced cerebrovascular endothelial dysfunction and reduce cerebrovascular damage induced by hyperhomocysteinemia.
The human studies addressing the evidence of the effect of B vitamins on age-related neurodegenerative conditions fall into three types, which will be discussed in the following order: intervention trials, studies of associations between B vitamin intake and neurocognitive function, and studies of association B vitamin tissue levels and neurocognitive function.
Among the 85 human studies reviewed, 30 were intervention trials, eight were B vitamin intake association studies, and 52 were B vitamin level association studies. Five studies reported data on both interventions and associations (at baseline). The large majority of studies were deemed to be of poor quality. Overall, three studies were of good quality, 25 of fair quality, and 57 of poor quality. The most common reasons for grading study quality poor were lack of randomization or control in intervention studies, lack of adjustment for potential confounders in association studies, and poor or inadequate reporting of study design and results. Overall, 23 studies had broad applicability, 40 had moderate applicability, and 23 had narrow applicability, often due to small sample size or focus on a specific population of diseased individuals. (One article contained two studies with different applicability ratings.)
| INTERVENTION STUDIES | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Change Severity | Prevent/Delay Disease | |||||||||
| Vitamin | Studies | N | Quality | Applicability | Results | Studies | N | Quality | Applicability | Results |
| B1 | 5 | 79 | A 0 | III 0 | ↔ | 1 | 32 | A 0 | III 0 | ↑ |
| B 0 | II 2 | B 0 | II 1 | |||||||
| C 5 | I 3 | C 1 | I 0 | |||||||
| B2 | 0 | 0 | ||||||||
| B6 | 2 | 151 | A 0 | III 0 | ↔ | 0 | ||||
| B 1 | II 1 | |||||||||
| C 1 | I 1 | |||||||||
| B12 | 12 | 492 | A 1 | III 0 | ↔ | 1 | 14 | A 0 | III 0 | ↑ |
| B 2 | II 5 | B 0 | II 0 | |||||||
| C 10 | I 8 | C 1 | I 1 | |||||||
| Folate | 5 | 168 | A 0 | III 0 | ↔ | 0 | ||||
| B 2 | II 3 | |||||||||
| C 3 | I 2 | |||||||||
| Mix | 6 | 462 | A 0 | III 1 | ↔ | 0 | ||||
| B 2 | II 4 | |||||||||
| C 4 | I 1 | |||||||||
Quality: A = good quality; B = fair quality; C = poor quality.
Applicability: III = widely applicable; II = moderately applicable; I = narrowly applicable.
Results: ↑ = treatment with, higher intake of, or higher level of associated with beneficial outcome (lessened severity, lower incidence)
↔ = no association
↓ = associated with worsened outcome (increased severity, higher incidence).
| INTAKE STUDIES | LEVELS STUDIES | |||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Associated w/Severity | Associatedw/Prevalence or Incidence | Associatedw/Diagnosis | Associated w/Severity | |||||||||||||||||
| Vitamin | Studies | N | Quality | Applicability | Results | Studies | N | Quality | Applicability | Results | Studies | N | Quality | Applicability | Results | Studies | N | Quality | Applicability | Results |
| B1 | 3 | 727 | A 0 | III 0 | ↔ | 1 | 62 | A 0 | III 0 | ↔ | 7 | 394 | A 0 | III 2 | ↔ | 1 | 201 | A 0 | III 1 | ↔ |
| B 2 | II 3 | B 0 | II 1 | B 1 | II 2 | B 1 | II 0 | |||||||||||||
| C 1 | I 0 | C 1 | I 0 | C 3 | I 3 | C 0 | I 0 | |||||||||||||
| B2 | 3 | 727 | A 0 | III 0 | ↔ | 1 | 62 | A 0 | III 0 | ↔ | 2 | 154 | A 0 | III 0 | ↔ | 0 | ||||
| B 2 | II 3 | B 0 | II 1 | B 0 | II 2 | |||||||||||||||
| C 1 | I 0 | C 1 | I 0 | C 2 | I 0 | |||||||||||||||
| B6 | 4 | 539 | A 0 | III 0 | ↔ | 2 | 136,185 | A 1 | III 2 | ↔ | 8 | 1,587 | A 0 | III 2 | ↔ | 2 | 141 | A 0 | III 0 | ↔ |
| B 3 | II 3 | B 0 | II 0 | B 2 | II 3 | B 2 | II 2 | |||||||||||||
| C 1 | I 1 | C 1 | I 0 | C 6 | I 3 | C 0 | I 0 | |||||||||||||
| B12 | 3 | 530 | A 0 | III 0 | ↔ | 2 | 136,120 | A 1 | III 1 | ↔ | 26 | 8,093 | A 1 | III 12 | ↔ | 7 | 2,618 | A 0 | III 2 | ↔ |
| B 3 | II 2 | B 0 | II 1 | B 9 | II 10 | B 5 | II 4 | |||||||||||||
| C 1 | I 1 | C 1 | I 0 | C 16 | I 4 | C 2 | I 1 | |||||||||||||
| Folate | 3 | 530 | A 0 | III 0 | ↔ | 3 | 136,248 | A 1 | III 2 | ↔ | 28 | 8445 | A 1 | III 10 | ↑ | 6 | 1,663 | A 0 | III 3 | ↔ |
| B 3 | II 2 | B 0 | II 1 | B 11 | II 17 | B 4 | II 2 | |||||||||||||
| C 1 | I 1 | C 2 | I 0 | C 16 | I 1 | C 2 | I 1 | |||||||||||||
Quality: A = good quality; B = fair quality; C = poor quality.
Applicability: III = widely applicable; II = moderately applicable; I = narrowly applicable.
Results: ↑ = treatment with, higher intake of, or higher level of associated with beneficial outcome (lessened severity, lower incidence)
↔ = no association
↓ = associated with worsened outcome (increased severity, higher incidence).
Study Descriptions. Three randomized controlled trials (RCTs),61–63 one non-randomized comparative trial (N-RCT), 62 and one uncontrolled cohort study 64 reported data on thiamine supplementation among patients with probable or possible AD in four articles. All studies included subjects whose mean ages were greater than 70 years, and who met standard criteria for diagnosis of probable or possible dementia. Their average mini-mental status examination (MMSE) scores ranged from 14 to 18, indicating moderate to mild dementia. All RCTs tested three divided doses of 3 g per day thiamine, the N-RCT tested a maximum of 8 g per day thiamine and the single arm intervention trial tested a dose of 750 mg of a thiamine derivative. Thus, most studies used high-dose interventions compared to the US Recommended Daily Allowance (RDA) of 1.1 to 1.2 mg daily. The primary outcome for all studies was cognitive function (measured with MMSE or Alzheimer's Disease Assessment Scale [ADAS]). In addition, two of the studies evaluated outcomes on behavior and/or emotion.61,64 All studies had small sample sizes (fewer than 25 subjects). All studies were assessed to poor quality (C). Two studies have moderate applicability and three narrow applicability.
Overall Effect. Three of the five studies reported statistically significant effects in cognitive function after intervention with thiamine for short durations (1 to 3 months).61, 62, 64 Meador 1993 reported statistically significant improvement of cognitive score (ADAS) in the initial months with reduced deterioration at 11 to 13 months, suggesting some beneficial effect of high dose of thiamine in decreasing the rate of progression of AD. This study also reported clinically significant effect of thiamine supplementation in the majority of subjects at dosages above 4 g per day.
Among these, Blass 1988 was a randomized crossover trial. The study did not document a wash out phase and compared thiamine to the intervention of niacinamide 750 mg as an active placebo. The follow-up study to Blass 1988, by Nolan 1991, was an RCT with parallel design that compared thiamine treatment to lactose placebo. It found no significant effects on cognitive function after treating to the same dose of thiamine for one year.
Meador 1993 reported two different experiments, and tested higher doses of thiamine (greater than 3 g per day). The first was a crossover RCT that compared thiamine to placebo without a washout phase between treatments. The second was a non-randomized comparative trial, which gave AD subjects sequentially higher doses of thiamine followed by placebo, and reported statistically significant improvements in the cognitive score (ADAS) at 3 dosages of 4 g per day or more thiamine. Of note this thiamine supplementation study reported improvement in the scores of Clinical Global Impression of Change (CGIC), which is a physician rated assessment of overall change from the baseline. However the study reported results among fewer than 10 subjects for dosages of 7 g or more between 8 to 13 months.
Mimori 1996 was an uncontrolled cohort study that used fursultiamine, a thiamine derivative that is easily converted into an active form of thiamine in the body. They evaluated nine people with AD and normal mean levels of blood thiamine. The study reported a statistically significant improvement in cognitive function (MMSE) and the emotional component of the Gottfries-Brane-Steen (GBS) score after the intervention with fursultiamine. Blood thiamine levels increased markedly after fursultiamine intervention.
Interactions and Covariates. In its second experiment, Meador 1993 tested a maximum dose of thiamine for 13 months. The first phase of the study the thiamine dose was incrementally increased each month to a maximum of 6 g per day. In the second phase a “best dose” (defined as achievement of best ADAS scores) was used, and in the third phase a maximum dose of 8 g per day was achieved. However, after month 5, the results for the doses greater than 6 g of thiamine were reported only in a small subset of two to six subjects. High dose thiamine significantly reduced ADAS scores compared to baseline, but MMSE showed no significant change. No other interactions were reported in the studies. Only the uncontrolled cohort study reported blood levels of thiamine before intervention, and included subjects with normal blood levels. All the studies of thiamine intervention used tests of the same domain and measured global cognitive function as the outcome.
Summary. Five poor quality studies assessed in four articles reported data on the effect of thiamine intervention among people with probable or possible AD. Overall, two RCTs, and one cohort study reported improvement in cognitive function during short-term treatment of thiamine. However, without a comparable control group, it is difficult to assess the validity of the uncontrolled cohort study given the variable course of dementia over time. Two long-term studies failed to show any discernable differences in cognitive function as measured by MMSE. However the N-RCT that supplemented AD subjects with progressively higher doses of thiamine followed by placebo reported statistically significant improvement of cognitive score (ADAS) in the initial months with reduced deterioration at 11 to 13 months, suggesting some beneficial effect of high dose of thiamine intervention. This study also reported long-term clinical benefit from thiamine intervention.
No prospective trial has evaluated the effect of vitamin B2 treatment on neurocognitive function.
Study Descriptions. Two RCTs assessed the effect of B6 intervention on cognitive function in humans.65, 66 They included 75 and 38 cognitively intact subjects in the intervention arm respectively. One RCT used 75 mg of B6 per day for 5 weeks while the other trial administered 20 mg of B6 per day for 12 weeks. Both doses are considerably higher than the US RDA dose of 1.3 to 1.7 mg daily. One study used digit symbol coding, vocabulary test, and digit span-backwards from WAIS III as well as the Stroop test for executive function and initial letter for verbal fluency. The second RCT applied the Associate Recognition Task and the Long Term Memory Storage to assess cognitive function. The trials were of moderate (B) and low (C) quality and had narrow and moderate applicability, respectively.
Overall Effect. Deijen 1992 reported a significant decrease in Long Term Memory Storage for the intervention group, which corresponds to memory improvement (P<0.03). However, no significant effect was recorded in the Associate Recognition Task for the intervention group in the same study. However, no formal comparison between intervention and placebo group was provided in the article and no information is given for the significance of the changes in the placebo group.
Interactions and Covariates. There is no adequate evidence to support any dose effect of B6 on the outcomes. There was no evidence across studies of differences in effect on tests of different cognitive domains. No other interactions were reported in the studies.
Summary. Two RCTs of moderate and low quality, with narrow and moderate applicability for cognitively intact populations investigated the effect of B6 intervention on cognitive function in humans. With treatment, a significant improvement was found with one cognitive function test. It is uncertain whether this change is of any clinical benefit. It is also unclear whether the changes with treatment were significantly different than changes in the control arm in the same study. No other significant effect was reported in the studies. Because of the very limited evidence no conclusions can be drawn for the effect of B6 on preventing cognitive function decline.
Overall Effect. Only one RCT (Hvas 2004) found a significant difference in effect on 12 word learning test at 15 minutes between the B12 and the control groups among cognitively impaired subjects. With other tests, some significant changes were found either with or without B12 supplementation, but these changes were not significantly different than each other. Kwok 1998, which included cognitively intact participants with low B12 (<163 pg/mL) revealed a significant improvement for B12 group in performance IQ; however, this was not significantly higher than the change in the control group. No other significant effects were reported in the RCTs.
Among the seven uncontrolled cohort studies, Teunisse 1996 reported that MMSE score was significantly worse after treatment among demented individuals with low B12 levels (<200 pg/mL). Ikeda 1992 found a significant improvement in Mattis' DMR scale at 2 months among people with AD, which however, was not maintained 4 months after the end of treatment. In the same study, GBS and HDS were also significantly improved at the end of treatment, but their improvement was also not maintained 4 months later. Van Asselt 2001, in the N-RCT, found that after treatment, performance on the delayed recall of verbal word learning test, similarities and verbal fluency test was significantly improved among cognitively intact subjects with low B12 (<203 pg/mL). In contrast, Teunisse 1996 noted significant deterioration in several tests including IDDD-Initiative, IDDD-Performance, and RMBPC-Disruptive behavior. The other five cohort trials found no change in cognitive function after B12 treatment.
Interactions and Covariates. RCTs reached statistical significance less often than cohort studies. When they reported significant changes, RCTs usually implied an improvement of cognitive function. Significant changes for cohort studies were not consistent, some finding improvement, some decline of cognitive function scores. There is large heterogeneity among RCTs and cohort studies in terms of dose, route, and duration of treatment and it would be difficult to support any conclusion about a potential dose effect. However, the only significant changes in cognitive score were found when B12 was injected rather than given orally. Seal 2002 directly evaluated the effect of B12 oral supplementation in two intervention arms, one receiving double the dose of the other, and compared these groups with placebo. No significant change was found when MMSE score differences of the three groups were compared. In the cohort study by Mitsuyama 1988 five of the 14 demented participants were orally supplemented with 2 mg B12 daily while nine subjects had an additional B12 injection of 0.5 mg. Only those receiving B12 injections showed an improvement from baseline in GBS (P value not reported).
I to 2001 analyzed the results based on the severity of dementia of Alzheimer's type. Both subjects with questionable or mild AD and participants with moderate or severe AD had non-significant improvement in MMSE after treatment. Abyad 2002 analyzed the results according to treatment duration for dementia before the trial. Both subjects with short-term treatment and subjects with long-term treatment improved MMSE; short-term treatment participants had a significant increase. Martin 1992 evaluated separately patients with cognitive impairment of long duration and patients with cognitive impairment of short duration. Only the subjects with disease of short duration showed a significant improvement in Mattis' DRS.
There was no evidence across studies of differences in effect on tests of different cognitive domains.
Summary. Five RCTs of narrow to moderate quality, one non-randomized comparative study, and seven cohort studies assessed the effect of vitamin B12 intervention on cognitive function in humans. All studies had narrow to moderate applicability. They evaluated populations that included normal participants, subjects with cognitive impairment, dementia, or AD. Several studies recruited only individuals with low B12 levels, however the definition for low B12 levels varied. There was large heterogeneity among studies in terms of dose and route of intervention as well as the cognitive function assessment instrument. Although several of the studies showed small changes in cognitive function, few reached statistical significance. Across studies that assessed similar populations after implementing the same test, results were conflicting. Several cohort studies revealed significant improvement while a smaller number of cohorts reported a significant decline in scores for cognitive function. However, the interpretation of these studies is difficult because they analyzed subjects who may have had variable courses of dementia over time, without using a control group for comparison. Vitamin B12 was given intramuscularly in the only RCT that found a significant effect in the treatment group compared to controls. Similarly, only cohort studies that used intravenous or intramuscular vitamin B12 reported a significant effect on cognitive function scores. However, given the lack of data directly comparing oral and injected routes of vitamin B12 and the paucity of controlled trials limits any conclusions regarding the utility of different routes of administration. There was very limited evidence whether other covariates may interact with B12 supplementation. Most studies did not take into consideration potential factors such as disease duration that may interfere with B12 effect.
Study Descriptions. Three RCTs65, 79, 80 and two uncontrolled cohort studies81, 82 reported data on folate supplementation and the effect on cognitive function or therapeutic benefit. Two studies were conducted among subjects with dementia, one among cognitive impaired, one among normal subjects, and the fifth among those with PD. All but one study included subjects whose mean ages were 60 years and above; the remaining study did not document mean age. The studies tested various doses of folic acid or folate ranging from 0.75 to 20 mg daily. These doses are all substantially larger than the US RDA of 0.4 to 1 mg per day. Study durations ranged from 5 to 17 weeks. The primary outcome for three studies was cognitive function measured with WAIS-R and/or other cognitive tests. One study also evaluated therapeutic benefit. About 130 subjects were tested in five studies. All studies were of moderate to poor quality (2 B, 3 C). Three studies have moderate, and two narrow applicability.
Overall Effect. Among the five studies that measured cognitive function in people with dementia, cognitive impairment, or no disease, one RCT found a trend towards worsening of neuropsychological scores in the folic acid treatment group, suggesting a negative benefit of high dose folate among subjects with dementia. Two other studies, one RCT and one uncontrolled cohort studies found statistically significant improvement with folic acid or folate treatment compared with placebo among demented, cognitive impaired, and normal subjects, but did not report any clinical benefit. The study of patients with PD found no therapeutic benefit.
Fioravanti 1997 compared the effects of folic acid intervention with placebo among cognitively impaired subjects who had serum folate levels below 3 ng/mL. Cognitive function was assessed using six components of the Randt Memory Test (RMT). Compared to baseline the folic acid treatment group showed significant improvement in Attention Efficiency score, one of the six components of RMT, after 60 days treatment. However comparison between folic acid and placebo groups showed significant changes in the actively treated group with improvement in four out of six cognitive components of RMT.
Bryan 2002 was a double blind, placebo controlled randomized trial conducted to assess the effect of vitamin supplementation and dietary intake among normal women. The study utilized a mixed factorial design with four treatment groups (B6, B12, folate, and placebo) and three age groups (younger, middle-aged, and older) to assess the effect on cognitive performance. Here we summarize the results from the subgroup of older women who were treated with a small dose of folate (0.75 mg). In post hoc comparisons of two measures of memory, Rey Auditory-Verbal Learning Test (RAVLT) immediate recall and recognition list, and verbal ability (verbal fluency-initial letter), older women in the folate treatment group identified significantly more words when compared to the placebo group. No significant effect was observed in other tests.
Sommer 2003, in a very small double blind RCT, compared 20 mg per day of folic acid to placebo in seven subjects who fulfilled the standard diagnostic criteria for dementia. There were small trends towards a negative effect on cognitive abilities with folic acid treatment in two of the cognitive tests, the Associated Learning subtest that measures verbal learning, and Trails B that measures perpetual motor speed.
Rapin 1988 recruited subjects with dementia and low red blood cell (RBC) folate levels. This study was an uncontrolled cohort study that treated dementia subjects with 50 mg per week of folinic acid for about 17 weeks. Treated subjects had a significantly improved performance in five of 16 cognitive tests. They also reported improved feeling of well-being.
The single study of patients with PD, by McGeer 1972, was a cohort study of 15 mg per day of folic acid among 18 subjects. The study found that the folic acid intervention provided slight to no therapeutic benefit assessed by subjective or objective change in PD symptoms.
Interactions and Covariates. The intervention trials did not provide adequate evidence to support any dose effect of folate on the outcomes. However, Fioravanti 1997 found that the cognitive improvement after folate intervention was correlated in a linear fashion with the low levels of folate at baseline. One RCT80 and one uncontrolled study82 studied the effect of folic acid intervention on cognitive function among subjects with low serum or RBC folate levels, and one RCT among those with normal folate levels.79. Two other studies did not provide data on blood folate levels before or after intervention. One RCT and one uncontrolled cohort study reported significant effects in the same cognitive domain.
Summary. A total of five studies of moderate to poor quality reported data on the effect of folate intervention among normal people or those with dementia, cognitive impairment, or PD. Overall, one RCT among subjects with dementia and normal folate levels found a trend towards worse performance in the cognitive function scores with folic acid intervention. Two studies, one RCT and one uncontrolled cohort study found statistically significant improvements in the cognitive scores in the actively treated groups among demented, cognitive impaired, and normal subjects and the last found no benefit among PD subjects. However, interpretation of the cohort studies is difficult without a comparable control group given the variable course of dementia over time. None of the studies provided data on clinically significant effect after the vitamin intervention.
Study Descriptions. Six studies, including 3 RCTs83–85 and 3 uncontrolled cohort studies86–88 assessed the effects of a combination of B vitamins as interventions on cognitive function in elderly subjects. Four trials included subjects with AD and/or mixed dementia,83, 85, 86, 88 one with cognitive impairment,87 and one without dementia.84 All studies used different daily doses of various B vitamins in the ranges of 0.8 to 15 mg folic acid or folate, 3 to 80 mg B6, and 0.1 to 2 mg B12; all substantially over the US RDA. Three used a combination of folic acid, B6, and B12, two used folic acid and B12, and one used folate and B12. All but one study treated subjects with oral vitamin supplementation; Shaw 1971 used a combination of B12 injection and oral folate. All studies included subjects whose mean ages were greater than 70 years. The primary outcome for all studies was cognitive function. About 470 subjects were tested in six studies. All studies were of moderate to poor quality (2 B, 4 C). One study has broad applicability, four moderate, and two narrow applicability.
Overall Effect. Five of the six studies found no significant change in cognitive function, generally measured with MMSE or WAIS, after combination B vitamin supplementation.
The single study to find a significant improvement, Nilsson 2001, was an uncontrolled cohort study. This study found significant changes in the cognitive score performance among subjects with mild-moderate dementia and elevated plasma homocysteine concentration with a significant global clinical improvement after vitamin intervention. There was a four point increase in the mean MMSE score from a baseline score of 17. However the same study failed to show any improvement among patients with severe dementia or those with mild-moderate dementia and normal plasma homocysteine levels with a mean baseline score of 21 after combined vitamin intervention.
Lewerin 2005, a RCT, compared moderate doses of vitamins supplementation to placebo among ambulatory normal subjects, and measured cognitive function with a battery of nine tests. The placebo arm performed better in three of the tests compared to the actively treated group. Two other RCTs reported no significant changes in cognitive function in either intervention arms after vitamin supplementation. The remaining two cohort studies, Aisen 2003 and Lehmann 2003, reported no observable differences after treatment.
Interactions and Covariates. There was no dose related responses discussed in the studies. Only Nilsson 2001, an uncontrolled cohort study reported a difference in cognitive function with relation to severity of dementia, and with the levels of plasma homocysteine (<2.69 versus >2.69 mg/L) after combined B vitamin intervention. This study also reported a significant improvement in alertness, orientation in time and space, recent memory and fewer clinical fluctuations among subjects with dementia after combined vitamin intervention. One RCT85 used a combination of B12 injection and oral folate among senile dementia with high and low RBC folate levels; remainder of the studies evaluated combined vitamin intervention among those with normal blood vitamin levels. There was no evidence across studies of differences in effect on tests of different cognitive domains.
Summary. Six studies of moderate to poor quality reported data on the effect of combined B vitamin intervention among normal people, cognitively impaired, and those with AD and/or mixed dementia. The three RCTs found no benefit in the actively treated arm compared to placebo. Only one of the uncontrolled cohort studies found both statistically and clinically significant large benefit. However, interpretation of the cohort studies is difficult without a comparable control group given the variable course of dementia over time. The two other uncontrolled cohort studies reported no benefit after intervention.
In this section, we summarize the findings from five (retrospective and prospective) longitudinal studies89–91 and five cross-sectional studies65, 92–96 that examined the association between the dietary intake levels of B vitamins and cognitive function or the risk of age-related neurodegenerative diseases. We included all populations from longitudinal studies, while only non-institutionalized or free-living populations were included from cross-sectional studies in order to assess their “usual” dietary intake levels. All dietary assessment methods have certain strengths and limitations; thus it is important to choose an appropriate method depending on the study design and research questions.97 For example, a food record or diet recall is appropriate for estimating the mean dietary intakes in the study population. Food frequency questionnaire (FFQ) is a semi-quantitative instrument and it is designed to estimate the long-term usual intake. FFQ is good for ranking subjects' intake levels, but might not be appropriate for estimating the mean dietary intake levels.
Overall Effects. Chen 2004 conducted a nested case-control study to investigate whether intake of folate or related B vitamins involved in folate and homocysteine metabolism was associated with PD risk, using two large cohorts in the US - the Health Professionals Follow-up study (1986-2000) and the Nurse's Health Study (1980-1998).89 The two cohorts were analyzed separately and then pooled analyses were also performed. Participants' dietary intakes were assessed by a food frequency questionnaire during the previous 12 months. It was found that controlling for age, smoking, alcohol consumption, caffeine intake and lactose intake, there were no significant associations found between the baseline intake of folate, vitamin B6, or vitamin B12 and relative risk of PD in either study. Several sensitivity analyses were also performed for different levels of folate intake. Individuals at either the low end (≤200 μg/day) or the high end (>1000 μg/day) of folate intake had a PD risk similar to that of people with normal folate intake, controlling for various possible confounders. Furthermore, in a separate analysis, supplemental intake of folate, vitamin B6, or vitamin B12 was also not related to the risk of PD. Compared with non-supplemented participants, individuals whose supplemental folate intake was more than 400 μg per day had a pooled RR of 1.0.
Morris 2005 conducted a prospective longitudinal cohort study to examine the associations of dietary folate and vitamin B12 with 6-year cognitive change in the participants of the Chicago Health and Aging Project.98 Change in cognitive function measured at baseline, 3-year and 6-year follow-ups, using the average z score of four tests: the East Boston Tests of immediate and delayed recall, the Mini-Mental State Examination, and the Symbol Digit Modalities Test. The median dietary intake of folate ranged from 175 to 382 μg/day for first and last quintile respectively. The median intake of folate, from food and supplements, ranged from 186 to 742 μg/day for first and last quintile respectively. At baseline, it was found that persons with high intake of total folate (from food and supplements) tended to have a more favorable risk profile for cognitive change (more years of education, higher baseline cognitive scores, and greater consumption of vitamin E and vitamin C) than persons with low intake. After a median follow-up of 5.5 years, unexpectedly, high folate intake from food sources and/or supplements was associated with a faster rate of cognitive decline in a mixed models adjusted for multiple risk factors. Further sensitivity analyses showed no change in the effect estimates after restricting the analyses in persons who reported poor health status or with low baseline cognitive scores (bottom 15% of the distribution) at baseline. Intake of vitamin B12, with or without vitamin supplementation, was not significantly associated with cognitive change in the multivariate model or with adjustment for folate intake (data not shown).
Part of Tucker 2005 study examined the association between dietary B6, B12 and folate intakes and 3-year changes in cognitive measures in the Veterans Affairs Normative Aging, a longitudinal cohort consists of 321 aging men at baseline.96 Cognitive function was assessed with the MMSE and on the basis of measures of memory, verbal fluency, and constructional praxis, which were adapted from the revised WAIS and the CERAD batteries at 2 time points. Improbable dietary intakes (total energy >16.75 or <2.51 MJ) were excluded from further analysis. Over a mean 3-year follow-up, changes in constructional praxis measured by spatial copying were significantly associated with dietary folate, B6 and B12. The mean dietary folate, B6 and B12 was 440 μg/day, 3.98 mg/day and 9.57 μg/day, respectively. Dietary folate remained independently protective against a decline in spatial copying score after adjustment for other vitamins and for plasma homocysteine. Dietary folate was also protective against a decline in verbal fluency. There was no other significant association found between dietary folate, B6, or B12 and changes in other cognitive measures. The major limitation of these analyses is that dependent biases might occur, since the dietary intakes and cognitive measures were both assessed by self-administered instruments.
Deijen 2003 conducted a prospective cohort study to examine the relation between nutritional intake and daily functioning in elderly people being evaluated in a psychogeriatric nursing home.90 During the study 60 percent of the dropouts “became ill” compared to 34 percent of the subjects who completed the study. Participants' dietary intakes were assessed by a combination of a 3-day record and weighing-back methods at baseline, weeks 8, 16 and 24, recorded by nurses. An analysis was performed to test for associations with change in ZIG-scores. Two experimental groups were formed based on high (>1.0 mg/day) and low intakes (≤1.0 mg/day) of B6 compared to their median intakes at baseline. There were no interactions between intake groups and week, indicating that the high and low intake groups had the same pattern of ZIG-scores across the 6-month experimental period. There was deterioration in cognitive, physical and social functioning with time. However, this study had several limitations. Dropouts had worse health status than completers; it is unclear whether the nurses who assessed exposure and outcomes were the same; and the restriction to nursing home residents limits applicability.
Mizrahi 2003 conducted a retrospective case-control study compared patients with AD to healthy controls. (Mizrahi, 2003 2188 /id} Both proxy and surrogate respondents of cases and controls were asked to recall their food consumptions using a food frequency questionnaire during three age periods: 20 to 39, 40 to 59 and 60 or more years old. It was found that those with AD had lower mean dietary vitamin B6 and folate intake compared to controls in the over 60 years of age period (P=0.05 and 0.01, respectively), but not in younger age periods. No statistically significant correlations were found between homocysteine levels and dietary vitamin B6 and folate intake in the three age periods for those with AD and controls. This study was deemed to be of poor quality due to serious recall biases. Specifically, controls might have had more accurate recalls than cases, because cases' intakes were estimated by proxy or surrogate respondents, and all respondents might remember the food consumption during more recent age period better than distant age periods. Finally, the recall periods were too long to obtain accurate food consumption data.
Summary. No significant associations were found between dietary intakes of B6 or B12 and PD, AD, cognitive functioning, or cognitive decline across three studies. One additional study found higher dietary intakes of B6, B12, and folate were associated with improvements in some, but not all, cognitive function measures. In three separate studies, folate intake was not associated with PD or AD; however, in one study, higher folate intake from food sources and/or supplements was associated with a faster rate of cognitive decline after adjusting for multiple risk factors.
Study Descriptions. Five cross-sectional studies examined the association between the dietary intake levels of B vitamins and cognitive function or the risk of age-related neurodegenerative disease.65, 92–95 Of the five studies, three were of fair quality and two were of poor quality.
Thiamine (B1). Three studies associated participants' dietary intake levels of thiamine to their cognitive function scores.92, 93, 95 One additional study compared the dietary intake levels of thiamine in participants with AD to that in normal participants (Table 18).94 No statistically significant association was found between the dietary intake levels of thiamine and cognitive function scores, except for Goodwin 1983 that found that participants who were in bottom 5 percent of thiamine intake levels had significantly worse Wechsler verbal memory test scores than those who were in the top 90 percent. Renvall 1989 found that participants with AD had similar dietary intake levels of thiamine as normal participants.
Riboflavin (B2). The same four studies that evaluated thiamine also assessed participants' dietary intake levels of vitamin B2 (Table 19).92–95 Similar results were found except that Goodwin 1983 found that participants who were in bottom 10 percent of vitamin B2 intake levels had significantly worse Wechsler verbal memory test scores than those who were in the top 90 percent. In addition, Lee 2001 found that, adjusting for age, the dietary intake levels of vitamin B2 increased with MMSE scores among women, but not among men.
Pyridoxine (B6). Three studies associated participants' dietary intake levels of vitamin B6 with cognitive function scores (Table 20).65, 92, 95 No statistically significant association was found between the dietary intake levels of vitamin B6 and cognitive function scores, except for Goodwin 1983, which found that participants who were in bottom 10 percent, but not the bottom 5 percent, of B6 intake levels had significantly worse Wechsler verbal memory test scores than those who were in the top 90 percent.
Cyanocobalamin (B12). Three studies associated participants' dietary intake levels of vitamin B12 to their cognitive function scores (Table 21).65, 92, 95 One additional study compared the dietary intake levels of vitamin B12 in participants with AD to that in normal participants.94 No statistically significant association was found between the dietary intake levels of vitamin B12 and cognitive function scores or AD.
Folate. The same four studies that evaluated vitamin B12 intake also tested folate intake (Table 22)65, 92, 94, 95 No statistically significant association was found between the dietary intake levels of folate and cognitive function scores, except for Goodwin 1983 that found that participants who were in bottom 5 percent of folate intake levels had significantly worse Wechsler verbal memory test scores than those who were in the top 90 percent. Renvall 1989 found that participants with AD had similar dietary intake levels of folate as normal participants.
Summary. Among the five studies, only two found any significant associations between vitamin B intake and cognitive function scores. One study found that subjects with low intake of vitamins B1, B2, B6, and folate, but not vitamin B12, scored significantly worse on verbal memory than those with relatively high intake levels. One study also found association between vitamin B2 intake and MMSE score in women, but not in men. No association between dietary intake of B12 and cognitive function or diagnosis of AD was found in all five studies.
Gold 1995 examined the thiamine levels in the plasma and RBCs and found significantly low plasma thiamine levels and a high prevalence of plasma thiamine deficiency, but not for RBC thiamine, among probable AD, compared to non-AD subjects. A subsequent publication by the same author (Gold 1998) evaluated thiamine levels in the plasma and RBC thiamine among AD and PD subjects, and reported similar significantly lower levels and higher prevalence of plasma thiamine among AD subjects. The plasma level of thiamine among PD subjects was normal. Assantachai 1997 estimated serum levels and reported a high, but non-significant prevalence of thiamine deficiency among cognitively impaired compared to normal elderly subjects. Scillepi 1984 reported normal mean thiamine levels among AD and non-AD subjects.
Jimenez-Jimenez 1999 compared CSF levels of thiamine and its phosphate esters among PD patients and normal controls. All thiamine derivatives in the CSF except free thiamine were normal among PD patients. Molina 2002 compared subjects with AD to normal controls. This study examined CSF and plasma levels of thiamine derivatives and reported significantly lower plasma levels of thiamine derivatives among AD subjects. Among a subset of AD patients annual mean decreases in MMSE score was assessed and there were no significant differences in mean MMSE scores with high versus low thiamine levels. Mastrogiacoma 1996 examined thiamine derivatives in autopsied cerebral cortex among AD and normal subjects. The mean levels of TDP in the temporal, parietal, occipital areas of cerebral cortex were slightly, but significantly reduced by 18 to 21 percent among AD subjects compared to normal subjects. The levels of other thiamine derivatives were normal among AD subjects. Snowdon 2000 described a negative, but non-significant correlation of serum thiamine levels with severity of cerebral cortex atrophy among AD subjects with histologically significant lesions. AD subjects with histologically non-significant lesions had a positive, but non-significant correlation of serum thiamine levels with severity of atrophy of the cerebral cortex.
Interactions and Covariates. Gold 1998 (Table 23) performed secondary analyses excluding four PD patients less than 60 years of age, matching the two groups for age. They found significant differences in both the plasma thiamine levels and the prevalence of thiamine deficiency (defined as plasma or RBC thiamine values below the range of normal for their respective age group) between AD, and PD subjects. Snowdon 2000 (Table 24) adjusted age as a potential confounder in the correlation analyses, but other studies did not adjust for potential confounders. No longitudinal studies evaluated the association of thiamine and cognitive function.
Summary. Overall, eight cross-sectional studies evaluated levels of thiamine among AD, cognitively impaired and PD patients. Three studies reported significantly reduced mean thiamine or TDP levels in the plasma and brain among AD subjects, and one reported similar reduction in mean levels of thiamine derivative among PD subjects. None of the studies that showed significant results adjusted for potential confounders. The remaining four studies found no differences between the investigated groups.
Study Descriptions. Two studies 106, 107 reported cross-sectional data on riboflavin (B2) levels among AD, PD, and dementia subjects. One study compared blood levels of B2 in AD with control subjects, and the other compared plasma levels of B2 in PD with dementia subjects. Scileppi 1984 assessed blood levels of 12 vitamins among 55 AD subjects. The control group included a total of 58 normal, depressed, vascular and mixed dementia subjects. Coimbra 2003 assessed plasma levels of B2 among 31 PD subjects compared with 10 dementia subjects without stroke. These studies were assessed to be of poor quality (C) and moderate applicability.
Overall Effect. Scileppi 1984 reported no significant differences in the riboflavin levels between AD and the control groups. Coimbra 2003 found a mean plasma B2 level below normal among PD subjects, which was significantly lower than among subjects with dementia. Neither study adjusted for any confounders.
Summary. Two poor quality studies assessed the cross-sectional levels of riboflavin among AD, PD, dementia, and other control groups. One study reported no significant difference between AD and control subjects. The second reported lower plasma levels among PD subjects with a significant difference between PD and dementia subjects.
Study Descriptions. Ten studies examined the association of vitamin B6 serum levels with the diagnosis of dementia or cognitive impairment, and cognitive function, including three prospective longitudinal studies, one case control study, one retrospective cohort study, and five cross-sectional studies.18, 105–111 Pyridoxal-5′-phosphate (PLP), an active coenzyme form of B6, was used to estimate B6 serum levels in all but two studies; one did not report the method for estimating B6111 and another study used a protozoological assay.105 The longitudinal studies recruited 313 to 1,092 participants, the case control study 80 subjects while the sample size for the other studies ranged from 30 to 127. Studies had narrow to broad applicability. Two of the longitudinal studies, the case control study and the retrospective cohort were of moderate quality (B) while the third longitudinal study and the five cross-sectional studies were of low quality (C).
Overall Effect. Seshadri 2002, in the longitudinal study, reported that B6 serum levels were not correlated with the risk of AD or other dementias after adjusting for age, sex, and ApoE genotype; although specific results were not provided. Kado 2005 did not find any significant increase in the risk for cognitive decline for participants with very low vitamin B6 levels after adjusting for age, sex, education, baseline cognitive function, baseline physical function, and smoking. However, Tucker 2005, after adjusting for baseline cognitive measures, age, education, smoking, alcohol intake, BMI, diabetes, systolic blood pressure, time of second measure relative to folic acid fortification, time interval between the two cognitive measures, and serum creatinine, reported a significant correlation between higher levels of vitamin B6 at baseline and better performance in the figure copying test after 3 years of follow-up (β=0.38, P <0.05). No other significant association was described in the same study between vitamin B6 levels and the score of other cognitive tests.
None of the cross-sectional studies found any significant correlation between B6 levels and diagnosis of AD or number of AD lesions in brain autopsy, cognitive impairment, or dementia. In addition, two cross-sectional studies found no association between B6 level and diagnosis of PD, compared to either people with dementia or normal people.
Interactions and Covariates. Generally, results were non-significant irrespective of the study design. Woitalla 2004 examined the association of B6 levels and diagnosis of PD in patients with different MTHFR genotypes (CC, CT, TT). No significant difference was reported when the three genotype groups were compared to each other or to the non-PD participants. There was no evidence across studies of differences in association with tests of different cognitive domains.
Summary. Three prospective longitudinal studies, one case control study, one retrospective cohort, and five cross-sectional studies examined the potential correlation of B6 serum levels with the diagnosis of dementia or cognitive impairment, and cognitive function. The studies were generally of low quality and had narrow to broad applicability. Only one of the longitudinal studies described a significant correlation between higher levels of vitamin B6 at baseline and better performance in the figure copying test after 3 years of follow-up. However, a similar association was not found for other cognitive tests that were assessed in the same study. It is uncertain whether the improvement in performance in the figure copying test is clinically important. Additionally, no statistically significant correlations were reported between B6 levels and AD or number of AD lesions in brain autopsy, cognitive impairment, PD, or dementia. There is very limited, low quality evidence to allow conclusion for any association between B6 levels and prevention or regression of cognitive function decline.
Study Descriptions. Seven longitudinal studies examined the potential association of serum B12 levels with the risk for developing dementia, AD, or cognitive decline (Table 28).18, 25, 96, 112–115 Two of the longitudinal studies recruited participants with normal cognitive function and tried to correlate cognitive function after 3 and 8 years of follow-up to the baseline levels of vitamin B12.96, 114 Cognitive function in these two studies was assessed by MMSE score, as well as by tests on construction praxis, language, working and recall memory, and visual reproduction. Sample size ranged between 234 and 1092 among the studies. Six studies included cognitively intact subjects while the seventh also recruited patients with AD. Follow-up ranged between 20 months and 8 years. Studies were generally of moderate quality (5 B, 2 C) and broad applicability.
Four cross-sectional studies assessed the potential association between B12 serum levels and cognitive function (Table 29).83, 116–118 Sample size ranged from 127 to 680. One study included patients with AD and frontotemporal dementia, another study had patients with PD and normal individuals while two studies recruited only subjects with AD. All studies implemented MMSE to assess cognitive function. In addition one study used ADAS test while another used Mattis' DRS. Studies were of low to moderate quality (2 B, 2 C) and narrow to broad applicability.
Overall Effect. None of the longitudinal studies showed any significant correlation between serum B12 levels and the risk for developing AD or dementia. However, Tucker 2005, after adjusting for baseline cognitive measures, age, education, smoking, alcohol intake, BMI, diabetes, systolic blood pressure, time of second measure relative to folic acid fortification, time interval between the two cognitive measures, and serum creatinine, reported a significant correlation between higher levels of vitamin B12 at baseline and better performance in the figure copying test after 3 years of follow-up (β=0.56, P <0.05). Similarly, Elias 2005, after adjusting for age, education, and gender as well as for Framingham stroke risk profile score, creatinine, alcohol consumption, coffee consumption, total cholesterol, BMI, and ApoE genotype described a significant correlation between higher levels of vitamin B12 at baseline and better performance in the global composite score for cognitive function after almost 8 years of follow-up (β=0.002, P <0.05). This study also reported significant correlation for immediate and delayed recall in the visual reproduction test (β=0.04, P<0.02 and β=0.04, P<0.03 respectively).
Among the other studies that evaluated cognitive function, no significant correlation was found between B12 serum levels and cognitive function test scores for any of the populations included. Among the studies that estimated OR, only Argyriadou 2001 found that the odds for low B12 serum level is two-fold higher in subjects with MMSE score low enough to show cognitive impairment than in cognitively intact individuals (P=0.03). The cutoff level for low B12 in this paper was <145 mg/mL. There were two more studies, which did not estimate an OR, but reported that significantly more subjects with AD or cognitively impaired presented with low serum B12 levels. Tripathi 2001 compared patients with AD and low B12 levels (<187 mg/mL) and subjects with other types of dementia (P<0.05) while Shahar 2001 compared cognitively impaired subjects presenting with lower B12 levels (<203 mg/mL) and cognitively impaired subjects with higher B12 levels (one group with B12 levels 150 to 250 mg/mL and another with greater than 250 mg/mL) (P=0.04 after adjusting for age).
Clarke 1998 compared mean serum B12 levels between patients with AD and cognitively intact participants and found no significant difference. However, when the same study was restricted only to the population with a histological diagnosis of AD, it found that significantly lower serum B12 levels were measured compared to the normal population (P<0.05). A subgroup of the participants in the same study, including 51 subjects with histological diagnosis of AD and 65 normal participants, was evaluated in a later publication by Refsum 2003. Serum holotranscobalamin levels, an active part of total serum B12, were measured and were found to be significantly lower in patients with AD than in controls (P<0.001).
Postiglione 2001 also found significantly lower B12 levels in patients with AD compared to normal individuals but the difference was not significant when the analysis was adjusted for age, serum creatinine, and duration of AD. In addition Religa 2003 reported significantly lower serum B12 levels in the AD group compared to cognitively intact participants (P<0.05). In the same study, no significant difference was reported when subjects with mild cognitive impairment were compared with the normal population. Tripathi 2001 also compared subjects with AD and patients with other dementias and found that the AD population presented with significantly lower B12 levels. In contrast Regland 1988 found that mean vitamin B12 levels for AD and cognitively intact groups were normal while the senile dementia group had a significantly lower B12 level (P=0.0002). None of the other studies including populations with AD or cognitive impairment supported any significant differences for B12 levels. Studies with subjects presenting with PD and vascular dementia did not report any significant results.
Interactions and Covariates. Prospective longitudinal studies reached statistical significance less often than cross-sectional studies. When they reported significant associations, both longitudinal and cross-sectional studies usually found that better cognitive function was related to higher vitamin B12 levels. Assantachai 1997 found that patients with AD and ApoE ε4 genotype had significantly lower B12 levels than patients with vascular dementia and ApoE ε4 genotype, while AD patients with other genotypes had similar B12 levels as those with vascular dementia.
Woitalla 2004 examined the correlation of B12 levels and diagnosis of PD in patients with different MTHFR C677T genotypes (CC, CT, TT). No significant difference was reported when the three genotype groups were compared to each other or to the non-PD participants. McCaddon 2004 found that holotranscobalamin was significantly higher in CC genotypes than the heterozygous CG genotype (P=0.04). Postiglione 2001 also found non-significant differences in B12 levels when they analyzed subcategories of AD patients or controls who were homozygous for MTHFR C677T or non-homozygous.
Postiglione 2001 also reported a statistically significant correlation between duration of disease in months and B12 (r = -0.460, P<0.05), supporting a decrease in B12 vitamin levels with longer AD duration. Anello 2004 reported that B12 levels were not influenced by other covariates such as the severity of dementia or age of onset of the disease. Refsum 2003 showed that low holotranscobalamin was associated with AD at high total homocysteine concentrations (OR 9.45), but not at low homocysteine concentrations.
There was no evidence across studies of differences in association with tests of different cognitive domains.
Summary. Thirty-three studies of low to moderate quality and narrow to broad applicability investigated a potential association between serum or CSF vitamin B12 levels and cognitive function, or diagnosis of several types of dementia and cognitive impairment. Most of the studies focused on AD. The threshold values to define low B12 levels varied across studies. Based on the very few longitudinal studies, vitamin B12 levels did not affect the risk for developing AD or dementia. However, one of the longitudinal studies reported a significant correlation between higher levels of vitamin B12 at baseline among cognitively intact subjects and better performance in the figure copying test after 3 years of follow-up. Another longitudinal study also described a similar correlation for the global composite score for cognitive function and the immediate and delayed recall in the visual reproduction test after almost 8 years of follow-up. However, the clinical importance of these results is unclear. The existing evidence from other studies, which implemented a cognitive function assessment instrument, did not support any correlation between vitamin B12 levels and cognitive function. Among cross-sectional studies, there was a trend for vitamin B12 levels to be lower in patients with AD or other types of dementia, which in certain studies reached statistical significance. However, this trend was not consistent. An inverse correlation between vitamin B12 levels and duration of AD was reported by one study. Besides that evidence for patients with AD or cognitive impairment, there was very limited evidence for populations with PD, and vascular dementia. Potential factors such as genetic mutations, or disease severity that may affect vitamin B12 levels were analyzed by few studies without a consistent effect. Considering also that most of the studies were cross-sectional, no causal relation between B12 vitamin and the developing or progression of dementia can be established.
Study Descriptions. A total of 34 studies examined the role of folate vitamin levels with the diagnoses of age related neurocognitive disorder or with cognitive function. Twenty-three studies examined the mean folate level with cognitive function or PD,83, 99, 105–107, 109, 111, 113, 116, 120, 122–125, 127–132, 137–139 10 examined the prevalence of folate deficiency in normal and cognitively impaired or demented participants,25, 114, 119, 121, 122, 124, 125, 129, 140, 141 and 15 assessed the risk of AD, dementia, and cognitive impairment with folate levels.18, 25, 96, 105, 112–115, 120, 121, 123, 127, 130, 140, 142 Ten of the studies were longitudinal, examining the association between folate levels and future cognitive function; the remainders were case-control or cross-sectional with single time-point analyses (Table 33). The folate levels were assessed in the RBC, plasma, serum, CSF, and blood. The sample sizes of the studies ranged from 30 to 1,100. The majority of the studies were graded moderate to poor quality (1 A, 15 B, 18 C). Fifteen studies had broad, 17 moderate, and 2 narrow applicability.
Overall Effect. All studies reported lower mean folate levels or higher prevalence of folate deficiency among subjects with AD, and cognitive impairment. Among studies that assessed the association between folate levels and cognitive function, four longitudinal studies and one case-control study reported a statistically significant association between lowest quantile of folate level and cognitive decline after adjusting for possible confounders. One other case-control study reported a significant inverse association of folate with cognitive function. Two studies reported folate levels within normal limits among PD subjects.
All studies that examined the prevalence of folate deficiency compared subjects with AD or cognitively impairment with other types of dementia or normal subjects (Table 34). The range of prevalence of folate deficiency was between 0 and 67 percent. Across all studies, the prevalence of folate deficiency was higher among AD than controls. Only two studies, Joosten 1997 and Wang 2001 reported statistically significant prevalence of folate deficiency among AD subjects, and those with MMSE mean score ≤26, respectively.
Snowdon 2000, a case-control study described a significant negative age-adjusted correlation of folate levels with severity of cerebral cortex atrophy among all AD subjects, as well as a subset of AD subjects with histologically significant cerebral cortex lesions at autopsy. The regression analysis adjusted for age and histological severity of AD found a 4.4 ng/mL decrease in serum folate was associated with a 1-point decrease for the MMSE score indicating a significant inverse association of folate with cognitive function.
Interactions and Covariates. About one-third of the studies reported associations of folate levels with cognitive function decline adjusted for possible confounders. Four longitudinal studies that adjusted for all possible confounders reported independent and statistically significant association between folate level and cognitive function. Across the studies, there was an association between folate level and global cognitive function. Only one study96 reported significant effect on one other cognitive domain.
Summary. There are 34 studies of moderate to poor quality that have examined the role of folate vitamin levels with the diagnoses of age related neurocognitive disorder or with cognitive function. Overall, the studies reported lower mean folate levels or higher prevalence of folate deficiency among AD and cognitive impaired subjects. One-third of the studies adjusted for possible confounders. Of note, four of the 10 longitudinal studies reported consistent and statistically significant association between folate level and cognitive function score. Two case-control studies reported greater risk of cognitive function decline with lower folate levels among AD subjects. Two studies reported mean folate levels within normal limits among PD subjects.
Testing the hypothesis of a potential effect of the interaction between homocysteine and B vitamins on cognitive function was not the primary purpose for this report. Consequently, studies that did not consider B vitamins as independent predictors of cognitive function and limited their analyses to homocysteine or the interaction of homocysteine and B vitamins only, were not included in our review.
It is well established that B vitamin status (mostly folate, B12, and possibly B6) is a major determinant of homocysteine level.143–145 Among elderly subjects in the Framingham study, for example, two-thirds of cases of high homocysteine were associated with at least one vitamin concentration below the 70th percentile.143 In addition, studies have consistently found that homocysteine levels can be reduced with B vitamin treatment.123 Furthermore, numerous studies - including several evaluated in this review of B vitamins - have demonstrated an association between higher homocysteine levels and worsened cognitive function. 18, 96, 114, 115 Elevated homocysteine levels putatively may cause cognitive decline through both neurotoxic and vasotoxic effects.146 Of note, almost all trials of combinations of B vitamins - and several interventions with individual B vitamins - were designed with the intent of lowering homocysteine levels. Among studies that reported data on associations between cognitive function and both B vitamins and homocysteine, most found that the association of homocysteine and cognitive function was statistically independent of B vitamin levels; thus homocysteine levels were predictive of cognitive function even after correction for B vitamin deficiency. This statistical independence was found in both cross-sectional studies 84, 110, 128, 141 and longitudinal studies,18, 115 but does not imply a biological independence. Several studies, both cross-sectional112, 147 and longitudinal96, 114 found evidence of interactions between homocysteine and either folate, B12, or combined folate, B6, and B12.
Interpretation of the relative effect of different homocysteine levels on any interactions between B vitamin status and cognitive function is more problematic. Given that homocysteine is associated with cognitive decline and that B vitamins affect homocysteine levels, it is hypothesized that much of the B vitamins' role in preventing cognitive decline is through their effect on maintaining low homocysteine levels and thus any associations between B vitamin status and cognitive function would not be expected to be independent of homocysteine level.
However, among the five longitudinal studies that analyzed potential interactions between homocysteine and B vitamins on their association with cognitive decline, the MacArthur Studies of Successful Aging (MSSA),112 the Conselice Study of Brain Aging (CSBA),115 and the Veterans Affairs Normative Aging Study (VANAS)96 each found that baseline serum folate level (and also dietary folate in VANAS) was significantly associated with various measures of cognitive decline, independent of homocysteine or vitamins B6 or B12. Each set of authors conclude that the independent contribution of low folate to cognitive impairment may affect the development of cognitive impairment through mechanisms other than homocysteine's direct neurotoxicity. Of note, VANAS found independent effects of folate only for constructional praxis (figure copying), while MSSA analyzed a summary cognitive score based on several tests and CSBA analyzed diagnosis of AD. In contrast, both the Framingham Study18 and the Framingham Offspring Study114 found no association between folate level and cognitive function.
To answer the question regarding adverse events we reviewed all 39 prospective human trials of B vitamin interventions that we retrieved for possible inclusion regarding effect of treatment on age-related neurocognitive disorders. Three of these articles had multiple studies or study arms, thus there were 43 separate cohorts of subjects who received specific B vitamin treatments. Eight of these studies were rejected from analyses above either because of inclusion of ineligible populations or reporting only on outcomes not of interest for the purpose of this review.
| Study, Year | Dose / Day | Population | Mean Age(yr) | Duration | Design | N | Adverse Events | |
|---|---|---|---|---|---|---|---|---|
| Tx | Cx | |||||||
| Thiamine (B1) | ||||||||
| Meador, 1993 | 3 g | AD | 71 | 1 mo | Crossover | 17 | None | |
| Study 1 | ||||||||
| Meador, 1993 | 4–8 g | AD | 71 | 13moa | Crossoverb | 17 | All tolerated doses up to 6 g/day well without any side effects 2 (of 7) subjects reported nausea and indigestion at doses of 7.0 and 7.5 g/day, but subsequently tolerated the same dosages in later months. | |
| Study 2 | ||||||||
| Blass, 1988 | 3 g | AD | 72 | 3 mo | Crossover | 11 | None | |
| Mimori, 1996 | Fursultiamine 100 mg | AD | 72 | 12 wk | Cohort | 9 | None | |
| Riboflavin (B2) | No studies | |||||||
| Pyridoxine (B6) | No studies | |||||||
| Cobalamin (B12) | ||||||||
| Ikeda, 1992 | 500μg 3x/wkIV | AD | 71 | 12 wk | Cohort | 10 | None | |
| Folate | ||||||||
| Yukawa, 2001c | 15 mg | Dementia | 56 | nd | Cohort | 36 | None | |
| McGeer, 1972 | 15 mg | PD | nd | 14–182 daysd | Cohort | 18 | 1 buzzing in the ears, 1 jittery feeling, 1 sleeplessness. No mental changes, weight loss, or gastrointestinal symptoms. | |
| Sommer, 2003 | 20 mg | Dementia | 77 | 10 wk | RCT | 5 | 6 | None |
| Pyridoxine (B6) + Folate | ||||||||
| Vermeulen, 2005e | B6: 5 mg | Healthy | 46 | 2 yr | RCT | 68 | 73 | None |
| Folate:250mg | ||||||||
| Cobalamin (B12) + Folate | No studies | |||||||
| Pyridoxine (B6) + Cobalamin (B12) + Folate | ||||||||
| Aisen, 2003 | B6: 50 mg | AD | 71 | 8 wk | Cohort | 63 | None | |
| B12: 1 mg | ||||||||
| Folate:50mg | ||||||||
N, number of subjects; Tx, vitamin B treatment, Cx, control;
1 month each at various doses, including 1 month of placebo.
Single cohort of subjects all changing doses in a set sequence.
Study did not meet eligibility criteria for evaluation of effect of B vitamin treatments.
Mean 45 days.
Study did not meet eligibility criteria for evaluation of effect of B vitamin treatments.
Three articles reported on adverse events related to thiamine (B1) or thiamine derivative interventions in four studies;61, 62, 64 two additional studies did not report on adverse events. In three studies, there were no adverse events, among 37 subjects total who took either 3 g thiamine per day or fursultiamine 100 mg per day for 1 to 3 months. All included patients with AD. The fourth study, also of patients with AD, found that 17 subjects all tolerated well thiamine doses between 4 and 6 g per day a month at a time. Among a subset of 7 subjects who took higher doses up to 8 g per day, two reported nausea and indigestion at doses of 7.0 and 7.5 g per day, but subsequently tolerated the same dosages in later months.
The single intervention study of riboflavin (B2) did not report on adverse events.
None of 4 studies of pyridoxine (B6) reported on adverse events.
Among 18 studies of cobalamin (B12), only one reported on adverse events.70 In a 12 week study of a cohort of 10 patients with AD who were treated with intravenous mecobalamin 500 μg 3 times a week for 8 weeks, there were no side effects detected in laboratory tests and there were no patient complaints.
Three of eight studies of folate supplementation reported on adverse events.79, 81, 148 The three studies evaluated 59 subjects who took either 15 mg or 20 mg folate per day. The two studies of patients with dementia reported no adverse events over 10 weeks or an unreported duration. In a cohort study by McGeer 1972 of 18 patients with PD who were treated with 15 mg folate per day for 14 to 182 days, three reported minor symptoms of “buzzing in the ears,” “a jittery feeling,” or “sleeplessness.” No mental changes, weight loss, or gastrointestinal symptoms were reported by patients.
One 2 year randomized trial reported that combination B6 (5 mg per day) and B12 (250 mg per day) was well tolerated in 158 healthy subjects (siblings of patients with premature atherosclerotic disease).149
The two studies that evaluated combination B12 and folate did not report on adverse events.
One of three studies of combination B6, B12, and folate reported on adverse events.86 In a cohort study of 63 patients with AD who were treated with daily doses of 50 mg B6, 1 mg oral B12, and 50 mg folate, no adverse events were reported over 8 weeks.
Overall, in 10 studies that included 254 subjects taking B vitamin supplements (and 79 subjects taking placebo), two subjects with AD in one study reported mild gastrointestinal complaints with high dose thiamine, which they were later able to tolerate, and three patients with PD reported possibly neurological complaints with folate. No serious adverse events were reported.
| Nutrient | Life Stage Group | RDA | ULa | Adverse effects of excessive consumption |
|---|---|---|---|---|
| Thiamine | Males | (mg/d) | No adverse effects from food or supplements have been reported. Because data on the adverse effects of thiamin are limited, caution may be warranted. | |
| ≥31 yr | 1.2 | ND | ||
| Females | ||||
| ≥31 yr | 1.1 | ND | ||
| Riboflavin | Males | (mg/d) | No adverse effects from food or supplements have been reported. Because data on the adverse effects of riboflavin are limited, caution may be warranted. | |
| ≥31 yr | 1.3 | ND | ||
| Females | ND | |||
| ≥31 yr | 1.1 | ND | ||
| Vitamin B6 | Males | (mg/d) | No adverse effects from food or supplements have been reported. Because data on the adverse effects of B6 are limited, caution may be warranted. | |
| Comprises a group of 3 vitamers: pyridoxal, pyridoxine, pyridoxamine; and 5′-phosphate coenzymes of each vitamer | 31–50 yr | 1.3 | 100 | Sensory neuropathy has occurred from high intakes of supplemental forms. |
| ≥50 yr | 1.7 | 100 | ||
| Females | ||||
| 31–50 yr | 1.3 | 100 | ||
| ≥50 yr | 1.5 | 100 | ||
| Vitamin B12 | Males | (μg/d) | No adverse effects from food or supplements have been reported. Because data on the adverse effects of B12 are limited, caution may be warranted. | |
| Including its coenzymes methylcobalamin and adenosylcobalamin | ≥31 yr | 2.4 | ND | |
| Females | ||||
| ≥31 yr | 2.4 | ND | ||
| Folate | Males | (μg/d) | Masks neurological complication in people with vitamin B12 deficiency. | |
| Note: Given as dietary folate equivalents (DFE). 1 DFE = 1 μg food folate = 0.6 μg of folic acid from fortified food or as a supplement consumed with food. | ≥31 yr | 400 | 1000 | No adverse effects from food or supplements have been reported. Because data on the adverse effects of folate are limited, caution may be warranted. |
| Females | The UL for folate applies to synthetic forms obtained from supplements and/or fortified foods. | |||
| ≥31 yr | 400 | 1000 | ||
Derived from Institute of Medicine report accessed at www.iom.edu/Object.File/Master/7/296/0.pdf via www.nal.usda.gov/fnic/etext/000105.html (accessed July 27, 2005).
RDA = Recommended Daily Allowance; UL = Upper Limit.
UL = The maximum level of daily nutrient intake that is likely to pose no risk of adverse effects. Unless otherwise specified, the UL represents total intake from food, water, and supplements. Due to lack of suitable data, ULs could not be established for thiamin, riboflavin, or vitamin B12. In the absence of ULs, extra caution may be warranted in consuming levels above recommended intakes.
With a few exceptions and caveats, review articles on the safety of the B vitamins have concluded that B vitamin supplementation is safe. An older review by Marks in 1989,150 concluded that for all the B vitamins, at levels of intake approximately equivalent to those found in a good mixed diet, vitamins are beneficial and show no adverse reactions. He concluded that safe doses for thiamine are at least 50 to 100 times the RDA (i.e., above 100 mg daily); safe doses for riboflavin are substantially above 100 times the RDA (also above 100 mg daily); safe doses for pyridoxine are up to 200 mg daily (over 100 times the RDA); safe doses for oral cyanocobalamin are as high as 30 mg daily (over 10,000 times the RDA); and safe doses for folic acid of 50 to 100 times the RDA (up to about 20 mg).
The primary safety concern raised regarding thiamine involves rare reports of anaphylaxis after single oral doses in the range of 5 to 10 g or intravenous doses.150, 151 However, one reviewer, Snodgrass, in 1992 theorized, primarily based on animal studies, that high dose intravenous thiamine - generally used in patients suspected of having Wernicke's encephalopathy, in part to prevent seizures - may actually be causing seizures. However, as noted by Snodgrass, a large report of almost 1000 patients receiving intravenous thiamine rarely resulted in complications.152 Only one patient had a major adverse reaction (generalized pruritis).
We found no safety concerns related to riboflavin.
Long-term, high-dose pyridoxine is well known to cause a reversible neuropathy. A literature review in 1986 by Cohen et al. noted that adults receiving more than 500 mg per day are at risk for developing sensory neuropathy, while short-term courses or lower daily doses does not result in adverse neurological changes.153 However, as noted by both Marks and Snodgrass, there have been reports of neuropathy with doses as low as 200 mg per day. 150, 151
Prior to the addition of carbidopa to L-dopa treatment for PD, it was frequently noted that pyridoxine supplementation resulted in a loss of the L-dopa effect, with an increase in Parkinsonian symptoms.154–159 This effect is due to inhibition of peripheral decarboxylation of L-dopa.160 However, use of peripheral decarboxylase inhibitors such as carbidopa with L-dopa blocks the drug interaction, such that the efficacy of the two drugs is unaffected by pyridoxine.158–160
We found no safety concerns related to cobalamin, either in oral or parenteral form.
A systematic review of the safety of folic acid supplements was performed by Campbell in 1996, prior to the policy of mandatory grain fortification in the US.161 Several potential safety issues were discussed including masking of thiamine deficiency, neurotoxicity, drug antagonism, reduced zinc absorption, and hypersensitivity. Folate repletion in B12 deficient individuals is well-known to post the anemic manifestations of pernicious anemia while allowing posterolateral spinal cord degeneration to progress. This effect is generally seen only with higher doses of folate (≥5 mg daily) and can be avoided by testing for B12 deficiency.161, 162 The question of neurotoxicity has been tested in patients with PD as described above (McGeer 1972). Several case reports of increased frequency of seizures in epileptics have been reported with folate doses of 5 to 30 mg;162 although this possible effect may in part be due to interactions between folate and anti-convulsant drugs due to their effect on folate metabolism.161 However, no drugs used specifically for neurodegenerative disorders interfere with folate metabolism. Campbell also found a limited number of case reports describing hypersensitivity reactions to oral and parenteral folic acid, but concluded that the reactions were probably to contaminants in the folate formulations.
In this section, we summarize the results from human and animal or in vitro studies of berries and/or the constituents in berries in relation to age-related neurodegenerative disorders. The four Key Questions to be answered are as follows:
What are the constituents in berries with beneficial nerve- and brain-related health effects (from in vitro, animal, and human studies)?
In what other food sources are these constituents found?
What is the evidence regarding mechanisms of action of berry constituents for preventing, decreasing the rate of progression of, or reversing the neurological changes associated with age-related neurodegenerative conditions, including Parkinson's or Alzheimer's disease?
What is the evidence that the constituents of berries can prevent, decrease the rate of progression of, or reverse the neurological changes associated with age-related neurodegenerative conditions, including Parkinson's or Alzheimer's disease in humans
Is the source, species, dose, composition, characteristics, or processing of berries and berry constituents related to the effect of the intervention?
What adverse events in humans have been reported in the literature for the constituents in berries?
Do the frequency of adverse events vary with source, dose, or other evaluated factors?
Findings are presented in the order of the Key Questions.
Searches of the MEDLINE® and CAB Abstracts™ databases for human, animal, and in vitro studies yielded 4,633 citations. After screening of the titles and abstracts, 151 articles were retrieved for examination. We retrieved an additional 20 articles identified from review articles, study reference lists, and domain experts. One human study and 18 animal or in vitro studies (with 19 experiments) were included in this review. Of note, 16 (89%) of these studies have been conducted by a single group of investigators at the Jean Mayer USDA Human Nutrition Research Center on Aging at Tufts University both with and without the cooperation of other research centers.
Qualifying studies are presented in summary tables in the appropriate sections. Details regarding all included studies are available in the evidence tables*.
| Fresh fruit | Weight | Fat | Protein | Fiber | Sugar | VitaminA | VitaminC | Potassium | Thiamine | Riboflavin | VitaminB6 | Folate |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Blackberries | 144 g | 1 g | 2 g | 8 g | 7 g | 308 IU | 30 mg | 233 mg | 0.03 mg | 0.04 mg | 0.04 mg | 36 μg |
| Blueberries | 145 g | 0 g | 1 g | 4 g | 14 g | 78 IU | 14 mg | 112 mg | 0.05 mg | 0.06 mg | 0.08 mg | 9 μg |
| Strawberries | 147 g | 0 g | 1 g | 3 g | 7 g | 18 IU | 86 mg | 225 mg | 0.04 mg | 0.03 mg | 0.07 mg | 35 μg |
Nutrient data were obtained from the USDA Nutrient Database for Standard Reference (www.nal.usda.gov/fnic/foodcomp/search/)
Antioxidants have protective effects against free radicals, highly reactive substances that result from normal metabolism and from exposure to environmental factors like cigarette smoke and ultraviolet light. Free radicals cause cellular damage by attacking the body's cell membranes, proteins, and DNA. Berries, such as blueberries, blackberries, cranberries, black raspberries, raspberries, and strawberries, have higher total antioxidant capacity than other fruits or vegetables, according to the commonly used oxygen radical absorbance capacity (ORAC) and ferric-reducing ability of plasma (FRAP) assays.164, 166–168 The ORAC assay is based on an antioxidant's ability to react with or neutralize free radicals generated in the assay systems. The FRAP assay measures the reduction of ferric iron (Fe3+, oxidized form) to ferrous iron (Fe2+, reduced form) in the presence of antioxidants.167
Flavonoids are members of the polyphenol family, important phytochemicals derived from plants and having a combination of anti-oxidative, anti-viral, and anti-carcinogenic properties (Figure 2
All studies related to mechanisms of action of berry constituents (or whole berries) have been performed in animal or in vitro models. Among 18 animal or in vitro studies (with 19 experiments) investigating berries and neurocognitive function or processes, four studies169–172 examined the effects of specific berry constituents on animal performance in neurocognitive testing or on their brain biochemistry. The remaining 14 studies (with 15 experiments)173–186 used berry extracts that supplemented normal diet or were added to in vitro media.
| Study, Year | Model Age/Weight | Duration | Intervention | N | Control | N | Neurocognitive Test | Group | Results | P | Biochemical Measures | Group | Results | P | Quality | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Saija, 1990 | Rats | S-D 300–350 g | 3days | Bilberry anthocyaninsa | 200 mg/kgi.p. | nd | Vehicle | nd | Brain uptake of T3 | + | <.05b | B | ||||||
| Wang, 1996 | Rat brain | PKC c | Blueberry tanninsd | (Other tannins) | Brain PKC inhibition | 0e | NS btw tannins | A | ||||||||||
| Red currant tanninsf | 0e | |||||||||||||||||
| Gooseberry tanninsg | 0e | |||||||||||||||||
| Andres-Lacueva, 2005 | Rat, male | F344 19 mo | 7–10 wk | Blueberry extracts | 2% of diet | 8/4h | NIH-31 w/ 2% dried corn | 8/4 | MWM- time to reach platform | 0 | Anthocyanin profile distribution in brain regions (cerebellum, cortex, striatum; hippocampus) | + | nd | A | ||||
| MWM- time searching | 0 | |||||||||||||||||
| Shukitt-Hale, 2005 | Rat, male | F344 19 mo | 13 16 wk | BB | An: 1.3 | Ph: 1.2 | nd | NIH-31 | nd | Rod Walk | All | 0 | Dopamine release | BB | nd | B | ||
| BC | An: 8.7 | Ph: 2.9 | nd | Wire Suspension | All | 0 | BC | + | .004 | |||||||||
| BS | An: 9.2 | Ph: 2.0 | nd | Plank Walk | All | 0 | BS | 0 | ||||||||||
| CB | An: 3.3 | Ph: 3.6 | nd | Inclined Screen | BB | + | .04 | CB | + | .007 | ||||||||
| BC | 0 | Hippocampal HSP70 | BB | + | .001 | |||||||||||||
| BS | 0 | BC | 0 | |||||||||||||||
| CB | + | .001 | BS | 0 | ||||||||||||||
| Accelerating Rotarod | All | 0 | CB | ~+ | .06 | |||||||||||||
| Morris Water Maze | All | 0 | ||||||||||||||||
An = anthocyanin (mg/g extracts), BB = blueberry extracts, BC = black currant extracts, BS = boysenberry extracts, btw = between, CB = cranberry extracts, F344 = Fischer 344, HSP70 = heat shock protein 70, i.p. = intra-peritoneal, N/A = not applicable, nd = no data or not done, NS = not statistically significant, Ph = total phenolics (mg/g extracts), PKC = protein kinase C, S-D = Sprague-Dawley, T3 = triiodothyronine, MWM = Morris Water Maze.
+Berry-fed animals performed better than non-berry-fed animals
0No difference in performance
-Berry-fed animals performed worse than non-berry-fed animals
Extract containing up to15 anthocyanins.
A significant increase in T3 transport into frontal cortex, temporoparietal cortex, occipital cortex, hippocampus, thalamus, hypothalamus and brain-stem, but no significant change in T3 transport into striatum, inferior colliculus, and cerebellum.
Study measured the concentrations of 18 plant tannins required for 50% inhibition (IC50 values) of brain PKC.
Containing 77% procyanidin and 23% prodelphinidin.
Compared to non-berry tannins.
Containing 78% procyanidin and 22% prodelphinidin.
Containing 96% procyanidin and 4% prodelphinidin.
8 animals per group for neurocognitive test between 7 and 8 weeks after receiving the diets; brains from 4 animals per group were harvested for brain biochemical measures after 10 weeks of diets.
Overall Effects. Saija 1990 found that injecting 200 mg/kg bilberry anthocyanin extracts intraperitoneally in adult rats for 3 days significantly increased rats' brain uptake of triiodothyronine (T3).169 The findings generated the hypothesis that the berry anthocyanins might cross the BBB and block the 5′-deiodinase activity and, therefore, the intracerebral formation of T3 from T4, thereby simultaneously stimulating T3 transport into the brain.
Wang 1996 measured the concentrations of tannins from 18 plant sources that were required for 50 percent inhibition (IC50 values) of brain protein kinase C (PKC). Wang found that blueberry, red currant, and gooseberry tannins have similar IC50 values as other plant tannins. Additionally, the IC50 values of these three tannins were not significantly different from each other. No measurements were made regarding possible effects of PKC inhibition.171 PKC is known to be involved in eukaryote cell signal transduction.
Andres-Lacueva 2005 assessed whether anthocyanins might be found in brain areas associated with cognitive performance following blueberry supplementation in old rats, and the effects of the blueberry supplementation in rats' diet on the performance of Morris Water Maze. The rats' standard diet was augmented with either blueberry extracts or dried corn, which replaced 2 percent of the diet. They found that following 10 weeks of dietary supplementation with 2 percent of blueberry extracts, anthocyanins were found in the brains of all rats fed the blueberry diet, while no anthocyanins were detected in the brains of rats fed the corn diet. There was no difference in Morris Water Maze escape latency learning over days between blueberry- and corn-fed rats. However, among blueberry-fed rats, there was a significant negative correlation between day 4 re-learning (mean latency for trials 2–6) and number of total anthocyanins measured in the cortex (r=-0.78, P=0.02); i.e., as anthocyanin number increased, the latency to find the platform decreased. Also as anthocyanin number increased, there was a trend for the rat to spend more time searching in the location of the previous platform location on the probe trial (r=0.91, P=0.09).
Shukitt-Hale 2005 is the only study that compared the effects of specific berry constituents on neurocognitive outcomes. They examined aged rats' performance in neurocognitive testing, along with possible mechanisms of action regarding brain biochemical changes. The rats' standard diet was augmented with each of four berry extracts, which replaced 2 percent of the diet. The total phenolics in these four berry extracts were similar, while black currant or boysenberry extracts had higher amount of anthocyanin than blueberry or cranberry extracts. They tested whether the loss of the ability of cells to increase the biomarker heat shock protein (HSP70), as a means to respond to insults such as ischemia, inflammatory agents and reactive oxygen species, may contribute to the age-related declines in both neuronal and behavioral functioning. In addition, striatal dopamine release was assessed because it is believed to be a sensitive marker for assessing striatal muscarinic sensitivity in aging.
Blueberry and cranberry extracts, but not black currant and boysenberry extracts, had a significant beneficial effect on performance by the rats on the inclined screen test, one of five psychomotor functions tested. The cranberry extract group (that had improved function) and the black currant extract group (that did not have improved function) had significantly increased striatal dopamine release compared to the control and boysenberry extract groups; the blueberry extract group was not examined for dopamine release.
HSP70 responsiveness in the blueberry extract group was significantly higher than the control group and the cranberry extract group showed a trend toward higher HSP70 responsiveness than the control group, while the black currant and boysenberry extract groups did not show such responsiveness. Furthermore, rats' neurocognitive performance, as measured by latency to fall from the inclined screen, was positively related to the percent change in HSP70 (r=0.39, P=0.05).
The inclined screen, dopamine release and HSP70 results all suggested that there is a range of effectiveness associated with the different berry extracts. However, it does not appear that the anthocyanin component is solely responsible for these improvements, as the black currant and boysenberry extracts are higher in anthocyanin level, but not as effective in improving motor performance. Of note, there was no significant effect on rats' performance in the Morris Water Maze among the four berry extract groups when compared to control. This test is among the more standardized and validated tests of neurocognitive and behavioral function in rodents.187
Summary. Of the four included studies, only a limited number of the numerous constituents in berries have been examined. Each study examined the effects of different berry constituents. One study showed that injecting 200 mg per kg bilberry anthocyanin extracts intraperitoneally in adult rats for 3 days significantly increased rat's brain uptake of T3. Another study measured the IC50 of brain PKC for 18 plant tannins in an in vitro study. Blueberry, red currant, and gooseberry tannins have similar IC50 values as other plant tannins. Additionally, the IC50 values of these three tannins were not significantly different from each other. However, the biological significance of this in vitro study in live animals is unknown. Only the most recent studies evaluated the effects of specific berry constituents on neurocognitive outcomes. Two studies examined aged rats' performance in neurocognitive testing: both found no difference in the learning performances; one found improvements in motor performances. Of these, one study also demonstrated that the anthocyanins in blueberry extracts were able to cross the BBB and the number of the total anthocyanins measured in the brain is associated with rats' learning performance. Another study examined the possible mechanisms of action regarding brain biochemical changes to rats' performance in neurocognitive testing. The results suggested that there is a range of effectiveness associated with the different berry extracts as shown in the results from rats' performance in the inclined screen test, dopamine release and heat shock protein. However, it does not appear that the anthocyanin component of the berry extracts is solely responsible for these improvements, as the black currant and boysenberry extracts are higher in anthocyanin level, but not as effective in improving motor performance.
Berry extracts were used to supplement animals' diet or added to in vitro study media in 14 studies with 15 experiments that examined animal's performance in neurocognitive testing or brain biochemistry or histology.173–186 Of these, two studies used specific animal or in vitro models of AD. The remaining 13 studies used adult or aged rat models. All of these studies (including the rat neurocognitive function study described above) are from the same group of investigators.
| Study, Year | Model Age/Weight | Duration (mo) | Intervention | N | Control | N | Neurocognitive Test | Group | Results | P | Biochemical / Histology Measure | Results | P | Quality | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Normal aging model | |||||||||||||||||
| Joseph, 1998A | Rats | F344, 6 8mo | 2 | Blueberry extracts | 10 g/kg | nd | AIN-93 | nd | Dopamine releasee | B | + | nd | C | ||||
| S | + | nd | |||||||||||||||
| Strawberry extracts | 9.4 g/kg | nd | Cerebellar β adrenergic receptor function | B | + | <.01 | |||||||||||
| S | + | <.01 | |||||||||||||||
| Joseph, 1998B | Rats, male | Fischer, | 8 | Strawberry extracts | 9.5 g/kg | 8a | Modified AIN 93 | 8a | MWM: Latency | + | <.05 | Dopamine release (striatal) | + | <.03 | A | ||
| 6 mo | MWM: Distance | + | <.01 | Ca2+ recovery after H2O2 exposure (synaptosomes) | + | <.02 | |||||||||||
| MWM: Memory | 0 | Oxidative stress (cerebellar) | + | <.0001 | |||||||||||||
| GTPase activity (striatal) | + | <.0001 | |||||||||||||||
| Bickford, 1999 | Rats | F344, 6mo | 2 | Blueberry extracts | 10 g/kg | nd | AIN-93 | Rod walkinge | B | + | nd | Cerebellar ISO potentiation of GABAergic inhibitione | B | + | nd | C | |
| Strawberry extracts | 9.4 g/kg | nd | S | + | nd | S | + | nd | |||||||||
| Bickford, 1999 | Rats | F344, 6mo | 9 | Strawberry extracts | 9.4 g/kg | nd | AIN-93 | Cerebellar β adrenergic receptor function | + | <.01 | C | ||||||
| Joseph, 1999 | Rats | F344, 19mo | 2 | Blueberry extracts | 10 g/kg | 10 | Modified AIN 93 | 10 | Rod walking time | B | + | <.05 | Dopamine release (striatal) | B | + | <.0001 | A |
| S | + | <.05 | S | + | <.0001 | ||||||||||||
| Strawberry extracts | 9.4 g/kg | 10 | Rod walking (latency to fall) | B | + | <.01 | GTPase activity (striatal) | B | + | <.001 | |||||||
| S | + | <.01 | S | 0 | |||||||||||||
| Wire suspension | B | 0 | Ca recovery after H2O2 exposure (synaptosomes) | B | + | <.05 | |||||||||||
| S | 0 | S | 0 | ||||||||||||||
| Plank walking | B | 0 | Oxidative stress (striatal) | B | + | <.005 | |||||||||||
| S | 0 | S | + | <.002 | |||||||||||||
| Inclined screen | B | 0 | |||||||||||||||
| S | 0 | ||||||||||||||||
| Accelerating rotarod time | B | + | <.05 | ||||||||||||||
| S | + | <.05 | |||||||||||||||
| Accelerating rotarod (latency to fall) | B | ~+ | 0.06 | ||||||||||||||
| S | 0 | ||||||||||||||||
| MWM: Memory (learning trial 1→2) | B | + | <.01 | ||||||||||||||
| S | + | <.05 | |||||||||||||||
| Shukitt-Hale, 1999 | Rats | C57BL.6NIA, 18 mo | 6 | Strawberry extracts | 1% of diet | 10 | Modified AIN76 | 8 | Rod walking | 0 | A | ||||||
| Wire suspension/wire hanging | 0 | ||||||||||||||||
| Plank walking | 0 | ||||||||||||||||
| Inclined screen | 0 | ||||||||||||||||
| Bickford, 2000 | Rats, male | F344, 18mo | 2 | Blueberry extracts | 18.6 g/kg | 8 | Modified AIN 93 | 14 | Rod walking asymptote (time improvement) | B | 0 | Cerebellar ISO potentiation of GABAergic inhibition | B | + | <.001 | A | |
| S | 0 | S | + | <.05 | |||||||||||||
| Strawberry extracts | 14.8 g/kg | 8 | Rod walking slope (rate of learning) | B | 0 | ||||||||||||
| S | 0 | ||||||||||||||||
| Martin, 2000 | Rats, male | F344, 15mo | 8 | Strawberry extracts | 9.5 g/kg | 20 | Modified AIN 93 | 20 | Dopamine release (striatal) | + | <.05 | B | |||||
| Youdim, 2000 | Rats, male | F344, 17mo | 2 | Blueberry extracts, “wild” | 2% of diet | 14 | Modified NIH-31b | 12 | Accelerating rotarod (latency to fall) | Bw | + | <.05 | Dopamine release (striatal) | Bw | + | <.05 | A |
| Bt | 0 | Bt | + | <.05 | |||||||||||||
| Inclined screen (latency to fall) | Bw | 0 | |||||||||||||||
| Bt | ~+ | 0.06 | |||||||||||||||
| Blueberry extracts, “tif-blue” | 2% of diet | 13 | Plank walking (latency to fall) | Bw | + | <.05 | |||||||||||
| Bt | + | <.05 | |||||||||||||||
| MWM (latency to find platform) - trial 1 | Bw | 0 | |||||||||||||||
| Bt | + | <.05 | |||||||||||||||
| MWM (latency to find platform) - trial 2 | Bw | 0 | |||||||||||||||
| Bt | 0 | ||||||||||||||||
| Casadesus, 2004 | Rats, male | F344, 19mo | 2 | Blueberry extracts | 2% of diet | 5 | NIH-31 | 5 | Reference memory errors | Day 1–3 | 0 | Proliferation of precursor cells in the dentate gyrus | + | <.05 | A | ||
| Day 4 | + | <.05 | |||||||||||||||
| Day 5 | 0 | ||||||||||||||||
| Working memory errors | Day 1–3 | 0 | Hippocampus growth factor-1 (IGF-1) | + | <.001 | ||||||||||||
| Day 4 | + | <.06 | |||||||||||||||
| Day 5 | 0 | ||||||||||||||||
| Total memory errors | Day 1–3 | 0 | Hippocampus growth factor-1R (IGF-1R) | + | <.005 | ||||||||||||
| Day 4 | + | <.05 | |||||||||||||||
| Day 5 | 0 | ||||||||||||||||
| Extracellular-signal-regulated-kinase (ERK) activation | + | <.01 | |||||||||||||||
| Goyarzu, 2004 | Rats, male | F344, 15or 4 mo | 4 | Blueberry extracts | 2% of diet | 12 | NIH-31, 15mo | 12 | Object recognition,1 hr delay | Aged Ctrl | + | <.01 | Brain NF-κB levelsg | Aged Ctrl | +h | <.03 | A |
| NIH-31, 4mo | 12 | Young Ctrl | 0 | Young Ctrl | 0i | ||||||||||||
| Rabin, 2005A | Rat, male | S-D | 2j | Blueberry extracts | 2% of diet | 4 | Modified NIH-31 | 8 | Operant task / bar pressing, with fixed ratio reinforcement | 6 mo pFe | 0 | A | |||||
| 175–200 g | 12 mo pFe | 0 | |||||||||||||||
| Strawberry extracts | 2% of diet | 4 | 6 mo pFe | 0 | |||||||||||||
| 12 mo pFe | 0 | ||||||||||||||||
| Blueberry extracts + 1.5 Gy 56Fe | 2% of diet | 8 | Modified NIH-31 + 56Fe | 8 | 6 mo pFe | 0 | |||||||||||
| 12 mo pFe | 0 | ||||||||||||||||
| Strawberry extracts + 1.5 Gy 56Fe | 2% of diet | 8 | 6 mo pFe | 0 | |||||||||||||
| 12 mo pFe | + | <.05 | |||||||||||||||
| Rabin, 2005B | Rat, male | S-D | 2j | Blueberry extracts | 2% of diet | 4 | Modified NIH-31 | 8 | Operant task / bar pressing, with fixed ratio reinforcement | Age 9, 12 mo | 0 | A | |||||
| 175–200 g | Age ?,? | 0 | |||||||||||||||
| Strawberry extracts | 2% of diet | 4 | Age 9, 12 mo | 0 | |||||||||||||
| Age ?,? | 0 | ||||||||||||||||
| Blueberry extracts + 2.0 Gy 56Fe | 2% of diet | 8 | Modified NIH-31 + 56Fe | 8 | Age 9, 12 mo | 0 | |||||||||||
| Age ?,? | 0 | ||||||||||||||||
| Strawberry extracts + 2.0 Gy 56Fe | 2% of diet | 8 | Age 9, 12 mo | + | <.05 | ||||||||||||
| Age ?,? | 0 | ||||||||||||||||
| Alzheimer's disease model | |||||||||||||||||
| Joseph, 2003 | Mice | Transgenicf, 4 mo | 12 | Blueberry extracts | 2% of diet | 3 | Modified NIH-31 | 3 | Y maze performance | Tg | + | <.05 | Fibrillar Amyloid β deposits | Tg | 0 | A | |
| W | 0 | W | nd | ||||||||||||||
| N-Sase activity (striatal, hippocampal & cortex)c | Tg | + | <.01 | ||||||||||||||
| W | + | <.01 | |||||||||||||||
| Mice | Wild type, 4 mo | 3 | 3 | Low Km GTPase activity (striatal)c | Tg | + | <.05 | ||||||||||
| W | 0 | ||||||||||||||||
| ERK activity (hippocampal)d | Tg | + | <.001 | ||||||||||||||
| W | 0 | ||||||||||||||||
| Phospho PKCα (hippocampal)c | Tg | + | <.05 | ||||||||||||||
| W | 0 | ||||||||||||||||
| PKCγ (striatal, hippocampal & cortex)c,e | Tg | 0 | |||||||||||||||
| W | 0 | ||||||||||||||||
| Joseph, 2004 | COS-7 cells (ATCC) transfected with rat muscarinic receptor subtype 1 or 3 DNA | Blueberry extracts | 2 mg/ml | Ca2+ Recovery following 0 or 1 mM dopamine Rx | B | + | <.001 | B | |||||||||
| Blackcurrant extracts | 2 mg/ml | Bc | + | <.05 | |||||||||||||
| Boysenberry extracts | 2 mg/ml | No fruit extract pre-Rx | By | + | <.001 | ||||||||||||
| Strawberry extracts | 0.5 mg/ml | S | + | <.01 | |||||||||||||
| Cranberry extracts | 1.0 mg/ml | C | + | <.05 | |||||||||||||
| Ca2+ Recovery following 0 or 100 μM Aβ (25–35, 100 μM) Rx | B | + | <.05 | ||||||||||||||
| Bc | + | <.05 | |||||||||||||||
| By | + | <.05 | |||||||||||||||
| S | 0 | ||||||||||||||||
| C | + | <.05 | |||||||||||||||
Aged Ctrl=when compared to the aged controls; Aβ= Rx=treatment; B=Blueberry extracts; Bc=Blackcurrant extracts; Bt=Blueberry extracts, tif-blue; Bw=Blueberry extracts, wild; By=Boysenberry extracts; C=Cranberry extracts; F344=Fischer 344; MWM=Morris water maze; nd=no data or not done; NF-κB=nuclear factor-kappa B; N-Sase=neutral sphingomyelin-specific phospholipase; pFe=after irradiation with 56 Fe; PKC=protein kinase C; S=Strawberry extracts; S-D=Sprague-Dawley; Young Ctrl=when compared to the young controls.
+ Berry-fed animals performed better than non-berry-fed animals
0 No difference in performance
- Berry-fed animals performed worse than non-berry-fed animals
The number of animals per group was assumed from the total number of animals reported in the article.
Information was inferred from subsequent publications. Control diet specification was, however, described in detailed as table format in the paper.
3 regions of brain were examined in this study, including striatal, hippocampus, and cortex. There was no significant effect was found in both groups if the brain region is not indicated in the parenthesis.
Striatal and cortex regions were not examined for ERK activities
Data not shown
Transgenic for amyloid precursor protein (APP) and presenilin-1 (PS1) mutations; prone to fibrillar amyloid beta deposits in cerebral cortex and hippocampus and changes in cognitive behavior in later life
Brain regions examined including frontal cortex, hippocampus, basal forebrain, stratum and cerebellum.
In all regions except the basal forebrain, the difference was significant.
In all regions except for the cerebellum, there was no significant difference between the aged rats fed blueberry-enrich diet and the young controls. In the cerebellum, the aged rats maintained on the blueberry-enriched diet had significantly higher NF-κB levels than young control. Notably, aged rats maintained on the control diet had significantly higher NF-κB levels than young rats maintained on the control diet in all regions except the striatum.
Diet for 2 months; follow-up for 18 months.
Blueberry extract supplementation. The effects of blueberry supplementation on animal's performance in neurocognitive testing or brain biochemistry or histology in adult or aged rat models are summarized in Figure 3
Strawberry extract supplementation. The effects of strawberry supplementation on animal's performance in neurocognitive testing or brain biochemistry or histology in adult or aged rat models are summarized in Figure 4
Alzheimer's disease models. One animal study180 and in vitro study181 used models of AD to examine the effects of berry extracts.
In the animal study, mice transgenic for amyloid precursor protein (APP) and presenilin-1 (PS1) mutations were used to model human AD.180 These mice are prone to fibrillar amyloid β deposits in cerebral cortex and hippocampus early in the life-span with later changes in cognitive behavior. Four-month-old transgenic and wild type mice were fed either the control diet or the blueberry-extract diet for 12 weeks before they were tested for Y maze performances. The blueberry-extract diet was 2 percent of the control diet supplemented with blueberry extracts, which was approximately equivalent to the consumption of 4 g of blueberry extract per day. Blueberry extract supplementation had a beneficial effect on Y-maze performance in transgenic mice but not in wild type mice. In the transgenic mice, there was no significant change in brain amyloid β deposits or calcium-dependent phospho-protein kinase Cα (PKCα), while a significant increase in brain neutral sphingomyelin-specific phospholipase C (N-Sase), low Km guanosine triphosphase (GTPase), ERK, and protein kinase Cγ (PKCγ) activities was found. Furthermore, the correlation between these brain biomarkers and the Y maze performances by the mice was examined. A positive correlation between GTPase activity and Y-maze alternation was found in the striatum but not in the hippocampus or cortex. A negative correlation between N-Sase activity and Y-maze alternation was found in the striatum but not in the hippocampus or cortex. The correlation between all other brain biomarkers and Y-maze alternation did not reach statistical significance.
In the in vitro study, COS-7 cells (ATCC) transfected with rat muscarinic receptor subtype 1 or 3 DNA (M1AchR) were used.181 Five different berry extracts (2 mg per mL blueberry, 2 mg per mL black currant, 2 mg per mL boysenberry, 0.5 mg per mL strawberry, or 1 mg per mL cranberry extracts) were dissolved in growth media and M1AchR-transfected COS-7 cells were subsequently incubated with the treated growth medium. Following these incubations the cells were washed with extract-free growth medium prior to testing. Ca2+ Recovery following 0 or 1 mM dopamine or 0 or 100 μM amyloid β treatment was tested. Recovery was determined by assessing the time (within 300 sec) for the Ca2+ level to return to 20 percent of the increase following depolarization in the cells that responded. In the absence of pre-treatment (control condition) there were significant effects of both dopamine and amyloid β on recovery of the M1-transfected cells (e.g., control vs. dopamine- or amyloid β-treated cells with no extract pre-treatment, P<0.001) and all berry extract pre-treatments did not show any significant effect on Ca2+ recovery. However, all five berry extract pre-treatments significantly reduced the deleterious effects of dopamine, and blueberry, black currant, boysenberry and cranberry but not strawberry, extract pre-treatments significantly reduced the putative toxic effects of amyloid β.
Summary. Only strawberry and blueberry extracts were used to examine the effects of extract supplementation on animal performance in neurocognitive testing or brain biochemistry or histology using a normal-aging rat model. The mechanism of actions tested were similar for both berry extracts although only one study, using blueberry extract, examined the direct relationship between the changes in brain biomarkers and the performance in neurocognitive function tests. Blueberry and strawberry extract supplementation showed positive or protective effects on almost all biochemical markers and histology findings examined in rats' brain, although only some of the neurocognitive tests and psychomotor functions were significantly improved in these berry-extract-fed rats.
Only two studies used models of AD to examine the effects of various berry extracts. The results suggested that it may be possible to reduce both the deleterious effects of dopamine and the putative toxic effects of amyloid β via various berry extracts as shown in the in vitro study. Results from the animal study that used mice transgenic for APP and PS1 mutations to model human AD showed that the blueberry extract supplementation seemed to have prevented the deficits in Y-maze performance seen in the transgenic animals fed the control diets, although it did not affect amyloid β deposits.
Only one study examined the association between consumption of berries and age-related neurodegenerative disorders. In the late 1980s, Golbe et al. (1988) conducted a case-control study to examine the association between fruit and vegetable consumption in early life and the risk of PD among a group of non-vegetarian PD patients and their same-sex siblings The mean age of the participants at the time of survey was 62 years old.188 Seventeen food items including fruit, vegetables, nuts, and salad oil or dressing were examined. Patients and same-sex siblings, in separate interviews, were each asked whether they or their spouse were more likely to eat each item between the time of marriage and age 40 years. Patients and siblings were first categorized by whether they consumed more, less, or the same amounts of different foods as their own spouses. Patient and sibling pairs (including spouses) were then categorized as concordant or discordant in their dietary habits (using an unverified, arbitrary decision process). Using discordant patient-sibling pairs, the odds ratio of PD was based on the patients who ate more of a food than their siblings compared to those who ate less. It was found that the preference to consume blueberries or strawberries was not statistically significantly associated with presence of PD. This study was deemed to be of poor quality due to measurement and recall biases, in addition to the unusual definitions for the consumption levels of fruit and vegetables, and the unverified categorization technique and statistical analysis.
We found no human interventional studies or clinical trials that met eligibility criteria and no correlational or observational study that evaluated AD.
The single human study of berry consumption was retrospective, therefore no study provided data regarding adverse events from berries in the setting of neurocognitive disorders. An electronic search (of MEDLINE® and CAB Abstracts™) for review and primary articles reporting on adverse events related to berries or berry constituents (not including allergic reactions or occupational exposures) identified two primary reports and a systematic review. This search captured only articles that were tagged for adverse events.
Canter and Ernst performed a systematic review of trials of bilberry-extracted anthocyanins for night vision.189 They reported no adverse events in any of 12 eligible studies; although they did not clarify if adverse events were actually reported in these studies. They also reported in a post-marketing study of 2,295 participants, that 94 complained of side effects that were mainly gastrointestinal, or related to the skin or nervous system.189, 190
An RCT of blackcurrant seed oil treatment for rheumatoid arthritis reported no dropouts due to adverse reactions.191 One abstract of a case report described a man in his 70s, treated with digoxin, phenytoin, and warfarin, who had poor appetite and drank only cranberry juice post-chest infection.192 After 6 weeks, the patient's international normalized ratio (INR) was greater than 50. The author noted that the Committee on Safety of Medicines has received seven other reports of possible interaction between warfarin and cranberry juice leading to changes in INR or bleeding.
Age-related neurocognitive disorders, primarily Alzheimer's disease (AD) and Parkinson's disease (PD), have a major impact on health and well-being among older Americans. The causes of the diseases are not yet well understood, including risk factors and associations with environmental factors. While some symptomatic treatments are available, no treatments are known to prevent, slow the progression of, or cure either AD or PD.
Separate lines of evidence have suggested that B vitamin status may be associated with risk and progression of AD and PD and that constituents of various berries may also effect progression of the diseases. This report summarizes the evidence for relationships between B vitamin status and supplementation, and separately berries, and age-related neurocognitive disorders. We summarize animal and in vitro evidence for specific putative mechanisms of actions and human studies of B vitamin supplementation or berries as treatments, of associations between dietary intake and disease, and associations between B vitamin status and disease.
We identified almost 7000 potentially relevant citations regarding B vitamins and almost 5000 potentially relevant citations regarding berries and neurocognitive disorders and function. Of these, we reviewed 85 human studies and 17 animal or in vitro studies of B vitamins and one human study and 18 animal or in vitro studies of berries. Among the human studies, the majority were cross-sectional studies that correlated B vitamin status with either cognitive function or dementia diagnosis. There were relatively few intervention studies, longitudinal dietary intake or B vitamin status association studies. The large majority of studies were of poor quality, with major deficits. The animal and in vitro studies primarily used otherwise healthy rats or mice on either vitamin-deficient or berry-supplemented diets; although several did use specific animal models for either AD or PD.
Both the human and the animal or in vitro studies were widely heterogeneous in doses used, measurement methods, definitions of dementia, cognitive function tests, and/or experimental design.
This report includes evaluations of vitamins B1 (thiamine), B2 (riboflavin), B6 (pyridoxine and related compounds), B12 (cobalamin), and folate.
Mechanisms of Action. All studies were performed in animal or in vitro models. We specifically included studies of neurocognitive function, movement disorders, brain neurotransmitters, brain histopathology, expression or function of AD-related genes, and blood brain barrier (BBB) or cerebrovascular endothelial function. We excluded studies that used B vitamin antagonists.
In rat studies, thiamine depleted diets result in significantly damaged brain tissue with serious neurological pathology resulting in death. Thiamine deficiency also significantly impaired performances in several neurocognitive tests.
No study examined the effects of riboflavin (B2) on outcomes of interest.
No significant effects of B6 supplementation were found for rats learning or cognitive function, although there were some beneficial effects on motor function and behaviors. These effects, though, were not consistent across the studies and did not show a dose-response relationship.
One study showed that low dose (1 mg per kg diet) vitamin B12 supplementation alone had no significant effect on spontaneous movements and did not improve memory in rats with nucleus basalis magnocellularis lesions.
In normal animal models, there were no apparent pathologic changes in brain tissue after folate deprivation, although there was a degenerative appearance of the cerebrocortical microvascular wall. One study found that folate was protective against a sub-toxic dose of 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP), which otherwise causes profound motor dysfunction similar to PD. Using the AD model of amyloid precursor protein (APP) mutant mice folate deficiency renders hippocampal CA3 neurons in APP mutant mice vulnerable to death by a mechanism that does not involve increased amyloid β-peptide production or deposition.
Only two studies examined the effects of B vitamins on the expression or function of AD-related genes. The series of animal experiments showed that while apolipoprotein E (ApoE)-deficient mice are less capable of buffering oxidative challenge in the central nervous system than are normal mice, the genetic deficiency could be alleviated with folate repletion. The results from the in vitro study demonstrated that presenilin-1 could be induced by folate and vitamin B12 deprivation. The other genes involved in APP processing and APP itself seemed to be independent of folate and vitamin B12 deprivation.
A study found that selective transport of pyruvate across the BBB was not functioning in a normal fashion in thiamine-deficient rats; BBB damage seen in later stages corresponded to damage seen from cold-injury edema and other models of cerebral edema. The leakage across the BBB appears to be predominantly through the mechanism of pinocytosis (introduction of fluids into a cell by invagination of the cell membrane, followed by formation of vesicles within the cells), not disruption of interendothelial junctions. Another study showed that folate is protective against homocysteine-induced cerebrovascular damage.
Overall, research has shown that there were negative effects of thiamine and folate deficiency or deprivation on animals' clinical status and/or histopathology, although not all deficient animals had worse performance in neurocognitive tests. Studies have found some positive effects of the supplementations of B6, B12, and folate on animal's performance in neurocognitive tests, but studies did not show a dose-response relationship. Only folate deficiency was examined in animal models of AD or PD, and the results showed a synergistic effect with PD or AD pathology. Folate appears to protect against oxidative damage associated with ApoE deficiency. Folate and B12 deficiency also induce presenilin-1, but do not appear to affect APP. Thiamine (vitamin B1) is required for active transport of pyruvate across the BBB and maintaining integrity and normal permeability of BBB and folate is protective against homocysteine-induced cerebrovascular damage.
Vitamin B1. Five studies - three randomized controlled trials (RCTs), one non-randomized comparative trial (N-RCT), and one uncontrolled cohort study - on the effect of thiamine intervention among people with either probable or possible AD were heterogeneous in their outcomes. Most found improvements in cognitive function or a slowed rate of deterioration using some measures of cognitive testing, either compared to control or in uncontrolled studies. However, either no difference between treatment and control or no improvement with thiamine was found in all studies with other measures of cognitive function. Only the uncontrolled cohort study reported blood levels of thiamine before intervention and after intervention, and the study included AD subjects with normal mean levels of thiamine.
Vitamin B2. No prospective trial has evaluated the effect of B2 treatment on neurocognitive function.
Vitamin B6. Only two RCTs of cognitively intact populations investigated the effect of B6 intervention on cognitive function. Participants had B6 levels within normal range in both trials. With treatment, a significant improvement was found with one cognitive function test. It is also unclear whether the changes with treatment were significantly different than changes in the control arm. No other significant change was reported in the studies.
Vitamin B12. Five RCTs, one non-randomized comparative trial, and seven cohort studies assessed the effect of B12 intervention on cognitive function in humans. Two RCTs, one non-randomized comparative trial, and four cohort studies recruited participants with low B12 levels, while the rest of the studies assessed individuals with normal B12 levels. There was a large degree of heterogeneity in populations, levels of B12 deficiency, dose, route of administration, and cognitive function assessment instruments. Although several of the studies showed some improvement in cognitive function, few reached statistical significance. Among studies that assessed similar populations after implementing the same tests, results were frequently conflicting. Several cohort studies revealed significant improvement while fewer cohorts reported a significant decline in scores for cognitive function. However, the interpretation of these studies is difficult because they analyzed subjects with variable courses of dementia over time, without comparing to control groups. Vitamin B12 was given intramuscularly in the only RCT that found a significant effect in the treatment group compared with the controls. Similarly, only cohort studies that used intravenous or intramuscular vitamin B12 reported a significant effect on cognitive function scores. However, given the lack of data directly comparing oral and injected routes of vitamin B12 and the paucity of controlled trials limits any conclusions regarding the utility of different routes of administration. Some indirect evidence showed that demented or cognitively impaired patients with short duration of treatment for dementia or short disease duration might benefit more than patients with treatment or disease of longer duration if they use B12.
Folate. Five studies (three RCTs and two uncontrolled cohort studies) reported data on the effect of folate intervention among normal people or those with dementia, cognitive impairment, or PD. One RCT among subjects with dementia and normal folate levels found worse neuropsychological scores in the folate treatment group among subjects with dementia. Two other studies - one RCT and one uncontrolled cohort study - found statistically significant improvement in the folate treatment compared with placebo group among demented, cognitive impaired, and normal subjects. The study of patients with PD found no therapeutic benefit. Three studies reported blood folate levels before intervention; of which only two studies (one RCT and one uncontrolled cohort study) included patients with low folate levels.
Combination of B vitamins. Six studies (three RCTs and three uncontrolled cohort studies) assessed the effects of a combination of B vitamins as interventions on cognitive function. All used different daily doses of various B vitamins including folate, B6, and B12. Five of the six studies found no significant change in cognitive function after combination B vitamin supplementation. Only one of the uncontrolled cohort studies found a significant, large benefit. Only one RCT assessed the effects of combined vitamin intervention on patients with low blood folate levels; other studies included patients with normal mean blood vitamin levels.
Overall. There is weak evidence of a possible benefit of thiamine supplementation in people with AD. There is also weak, and inconsistent, evidence that treatment with injected vitamin B12 is of benefit among those with recent diagnoses of AD or cognitive impairment, particularly if low B12 levels have been documented. The effect of treatment with both B6 and folate is unclear. A single study of B6 found possible improvement with treatment. While studies of folate treatment among demented, cognitive impaired, and normal subjects did find an improvement in cognitive function with folate, one study of patients with dementia did find a worsening on neuropsychological testing with folate compared to controls. Combination treatments with folate, B6, and oral B12 overall were of no benefit. A single study found no benefit of folate treatment for PD. No studies evaluated vitamin B2.
B Vitamin Dietary Intake Studies. Five longitudinal studies and five cross-sectional studies examined the association between the dietary intake levels of B vitamins and cognitive function or the risk of age-related neurodegenerative diseases. No significant associations were found between dietary intakes of B6 or B12 and PD, AD, cognitive functioning, or cognitive decline across three studies. One additional study found higher dietary intakes of B6, B12, and folate were associated with improvements in some, but not all, cognitive function measures. In three separate studies, folate intake was not associated with PD or AD; however, in one study, higher folate intake from food sources and/or supplements was associated with a faster rate of cognitive decline after adjusting for multiple risk factors. Among the five studies cross-sectional studies, only two found any significant associations. One found that subjects with low intake of vitamins B1, B2, B6, and folate, but not B12, scored significantly worse on verbal memory than those with relatively high intake levels. Another also found an association between vitamin B2 intake and cognitive testing in women, but not men. No association between dietary intake of B12 and cognitive function or diagnosis of AD was found in all five cross-sectional studies.
Vitamin B1. Overall, eight cross-sectional studies evaluated levels of thiamine among AD, cognitively impaired, and PD patients. Thiamine levels were measured in plasma, cerebrospinal fluid (CSF) or autopsied brain. Three studies reported significantly reduced mean thiamine levels in the plasma or brain among AD subjects, and one reported a similar reduction in mean levels of thiamine among PD subjects. However, none of the studies that showed significant results adjusted for potential confounders. The remaining four studies found no differences among the investigated groups.
Vitamin B2. Two cross-sectional studies assessed B2 levels among AD or PD and control groups, which included mixed dementia, vascular dementia, and normal subjects. The study of AD subjects reported no significant difference in riboflavin levels among the groups. The study comparing PD to dementia without stroke found lower B2 levels among those with PD. Neither study adjusted for confounders.
Vitamin B6. Ten studies of various designs examined the potential association of B6 serum levels with the diagnosis of dementia or cognitive impairment, or cognitive function. Only one longitudinal cohort study showed a significant correlation between higher levels of vitamin B6 at baseline in cognitively intact subjects and better performance in the figure copying test after 3 years of follow-up. No other significant correlations were found.
Vitamin B12. Thirty-three studies investigated a potential association between serum B12 levels and cognitive function or diagnosis of several types of dementia and cognitive impairment. Most of the studies focused on AD. Thresholds for B12 deficiency varied across studies. Based on the few longitudinal studies, serum B12 levels are not associated with the risk for developing AD or dementia. However, two of the longitudinal studies reported a correlation between serum vitamin B12 levels at baseline and cognitive function status at the end of follow-up among cognitively intact subjects. Other studies that implemented a cognitive function assessment instrument did not support an association between serum B12 levels and cognitive function. Among cross-sectional studies, there was a trend for B12 serum levels to be lower in patients with AD or other types of dementia, which in certain studies reached statistical significance. However, this trend was not consistent. An inverse correlation between B12 levels and duration of AD was reported by one study. Overall though, there is limited evidence for populations with PD, AD, and vascular dementia. Potential factors such as genetic mutations, or disease severity that may affect B12 levels were analyzed by few studies without revealing any consistent effect.
Folate. Thirty four studies examined folate levels assessed in the red blood cells, plasma, serum, CSF, and blood. Fifteen studies examined the association between folate levels and future cognitive function; ten of the studies were longitudinal and the remainders were case-control or cross-sectional with single time-point analyses. All the studies consistently reported either lower mean folate levels or higher prevalence of folate deficiency among subjects with AD and/or cognitive impairment. Overall, one-third of the studies adjusted for possible confounders. Among studies that assessed the association between folate levels and cognitive function, four longitudinal studies and one case-control study reported a statistically significant association between lowest quantile of folate level and cognitive decline after adjusting for possible confounders. One other case-control study reported significant inverse association of folate with cognitive function. Two studies reported no difference in folate levels between subjects with PD and controls.
Overall. The association between thiamine status and age-related cognitive disorders is unclear. Half the studies found no associations and half found lower levels among AD, cognitively impaired, and PD patients. However, none of these studies could differentiate between cause (low thiamine levels resulting in disease) and effect (changes due to disease, including nutritional intake, resulting in low thiamine levels). The studies also failed to adjust for potential confounders. The cross-sectional studies of B2 found no association with diagnosis of AD, but low levels among people with PD. The large majority of B6 studies found no association between B6 status and the diagnosis of dementia or cognitive impairment, or cognitive function. A large number of studies have evaluated both B12 and folate status. The better, longitudinal studies of B12 failed to find an association with diagnosis or severity of disease. While trends toward lower B12 levels among people with AD were found in cross-sectional studies, these associations were not consistent and proper adjustment for potential confounders was rarely performed. Both the longitudinal and case-control studies of folate status mostly reported an association between low folate levels (defined differently in different studies) and future diagnosis of AD and/or cognitive impairment. No association with PD was found.
Adverse Events. Among the 39 articles reporting on 43 cohorts of subjects taking B vitamin supplements, only 10 reported any information on adverse events. Of these, only two reported that any adverse events occurred. Thiamine was tolerated well in four studies; although initially high doses caused mild gastrointestinal complaints. One of three folate studies reported mild, possibly neurological complaints, that may have been associated with the subjects' PD. No adverse events were noted in one B12 study and in two combination B vitamin studies. No studies reported adverse events for B2 or B6.
This report includes evaluations of whole berries, berry extracts, and constituents of berries that were derived directly from the fruits. The following berries were included: bilberry, black raspberry, blackberry, blueberry, boysenberry, cranberry, currants, gooseberry, lingonberry, marionberry, raspberry, and strawberry. However, evidence was found for only bilberries, blueberries, boysenberries, cranberries, currants, gooseberries, and strawberries.
Constituents of Berries. Only a limited number of the numerous constituents in berries have been examined separately from the rest of the fruit. These include tannins, anthocyanins and phenolics, from various berries.
Mechanisms of Action. All studies related to mechanisms of action of berry constituents (or whole berries) have been performed in animal or in vitro models. Among 18 animal or in vitro studies (with 19 experiments) investigating berries and neurocognitive function or processes, four studies examined the effects of specific berry constituents on animal performance in neurocognitive testing or on brain biochemistry. The remaining 14 studies (with 15 experiments) used berry extracts that supplemented normal diet or added to in vitro media.
Effects of the constituents in berries. One study showed that intraperitoneally injected bilberry extract containing anthocyanins significantly increased rat brain uptake of triiodothyronine (T3). A second study measured the concentrations of 18 plant tannins, including blueberry, red currant, and gooseberry, generally inhibit brain protein kinase C to a similar degree; although the biological significance in live animals of this in vitro inhibition is unknown. The third study demonstrated that that the anthocyanins in blueberry extracts were able to cross the BBB and the number of the total anthocyanins measured in the brain is associated with rats' learning performance. The fourth study compared the effects of specific berry constituents on neurocognitive outcomes. Rat performance suggested that there is a range of effectiveness associated with the different berry extracts. However, it does not appear that the anthocyanin component is solely responsible for these improvements. Of note, both the third and fourth studies found no significant effect on rat performance in the Morris Water Maze compared berry to control groups.
Effects of berry extract supplementation. Berry extracts were used to supplement animals' diet or added to in vitro study media in 14 studies with 15 experiments that examined animal performance in neurocognitive testing or brain biochemistry or histology. Of these, two studies used specific animal or in vitro models of AD The remaining 13 studies used adult or aged rat models. Most studies were of good quality. All of these studies were from the same group of investigators.
Only strawberry and blueberry extracts were used to examine the effects of extract supplementation on animal performance in neurocognitive testing or brain biochemistry or histology using a normal-aging rat model. Blueberry and strawberry extract supplementation showed positive or protective effects on almost all biochemical markers and histology findings examined in the rat brain, although only some of the neurocognitive tests and psychomotor functions were significantly improved in these berry-extract-fed rats.
Only two studies used models of AD to examine the effects of various berry extracts. The results suggested that it may be possible to reduce both the deleterious effects of dopamine and the putative toxic effects of amyloid β via various berry extracts as shown in the in vitro study. Results from the animal study that used mice transgenic for amyloid precursor protein and presenilin-1 mutations to model human AD showed that the blueberry extract supplementation seemed to have prevented the deficits in Y-maze performance seen in the transgenic animals fed the control diets, although it did not affect amyloid β deposits.
Human Studies. Only one study evaluated any association between berry (or berry constituent) intake and neurocognitive function. A case-control study of patients with PD, their siblings, and their spouses found that the preference to consume blueberries or strawberries was not statistically significantly associated with presence of PD
Adverse Effects. The single human study of berry consumption was retrospective, therefore no study provided data regarding adverse events from berries in the setting of neurocognitive disorders.
An important limitation to the review of age-related neurocognitive disorders is that only scant research in either humans or animal or in vitro models has been performed related to movement disorders and motor symptom degeneration related to PD and associated diseases.
Rodents are the animals most commonly used to model human cognitive dysfunction or age-related cognitive deficits, but many of the behavioral paradigms employed for evaluation of rodent cognitive abilities or functions are fairly different from those generally assessed in humans.193 Furthermore, many confounding factors, such as housing conditions, strain, gender, diet, biological rhythms, “stress,” and route of drug administration can affect test data significantly.194 There remain substantial controversies surrounding the research findings from animal models of cognitive dysfunction. In particular there is no sound empirical basis for making cross-species generalizations about the neural structures that mediate performance in tasks used to assess memory.193 This is most relevant when comparing animal models to human diseases. In addition, the measured outcomes in animal models are indirect measures of the psychological construct in any test of cognitive function. Therefore, the measures of animals' performance in “cognitive tests” are generally not direct or pure measures of cognitive function. For example, age-related deficits in the Morris Water Maze may not be restricted to learning and memory, but may also include deficits in attention, the ability to process spatial information, and the ability to develop efficient spatial search strategies.187 It is clear that methodology and procedures of animal models of human cognitive dysfunction are very complex. It is important to avoid simplistic overgeneralizations and inappropriate interpretations of data from animal models of human cognitive dysfunction or age-related cognitive deficits, although this research has generated valuable information about the possible neurobiological basis of the cognitive deficits.
There are a number of limitations specific to our review of the B vitamin and berry literature. The large majority of studies measured performance in otherwise healthy rodents who were made severely deficient in B vitamins. While these studies might elucidate which B vitamins are required for maintenance of brain function, they rarely addressed the question of the actual mechanism of action of the B vitamins. Furthermore, the link between severe vitamin deficiency in normal rodents and the effect of relative vitamin deficiency on human age-related neurocognitive disorders is generally tenuous. Particularly in the case of thiamine deficiency, which is known to result in Wernicke's encephalopathy, the association with AD (or PD) is difficult to ascertain. Studies that linked vitamin deficiencies, vitamin supplementation, or berry supplementation to specific mechanisms of action on nervous tissue were rare and generally provide only a patchy picture of their potential effects.
A major limitation to the data on the potential effects of berries on neurocognitive function is that almost all the studies have been performed in a single laboratory. Replication or similar studies performed by independent groups are necessary before firm conclusions about the putative effects of berries can be made. The constituents in berries that may be responsible for the observed effects on neurocognitive function have yet to be found and the possible mechanisms of action have yet to be fully elucidated.
There remains considerable disagreement about the most meaningful way to assess study quality in human studies, with few analyses attempting to validate specific quality measures. The assessment of study quality in animal and in vitro studies, though, is still in its infancy. No studies have been reported that quantitatively assess the factors that may bias these studies. However, it is clear that improved study design and reporting are necessary.
Only a single, retrospective, human study of berries and PD has been reported. Thus it is clearly premature to assess the association between consumption of berries or berry constituents and age-related neurocognitive disorders.
Among the human B vitamin studies, the majority were of poor quality. The majority of data come from cross-sectional studies, most of which provided only univariate analyses. Even under the best of circumstances cross-sectional studies cannot differentiate between cause and effect. Thus any associations between B vitamin status and either diagnosis of AD, PD or dementia, or severity of disease may equally be caused by changes in nutrition due to the diseases as by effects of B vitamins on brain function. Many of the associations may also be spurious, since studies rarely attempted to correct for potential confounders such as nutrition status, inflammation status (e.g., homocysteine level), diet, duration of disease, age, sex, genotype, and other factors.
Among the trials of B vitamin supplementation, a large number were either non-randomized comparative trials or non-controlled studies of various designs. These studies are clearly deficient for an adequate assessment of the potential value of B vitamin supplementation. Even among the RCTs the quality of the studies was often poor due to incomplete reporting of methodology and results, lack of blinding, small sample size, short duration, and various other factors.
All the B vitamin studies as a group also suffered from lack of standardization of B vitamin measurement technique, of tissue source (blood, plasma, serum, red blood cell, and cerebrospinal fluid), of normal ranges for B vitamins, of definitions of diagnoses of various dementias, and of tests of cognitive function. In addition, on the order of 50 different tests or subtests were used across the studies. These tests measure different or overlapping domains of cognitive function. Comparisons across studies was thus very difficult. There is also scant evidence regarding the effect of B vitamins on PD.
Due to either the limited amount of available data or the poor quality of the bulk of the research to date, future well-performed, well-analyzed, large, prospective studies would be necessary to address all the questions posed regarding the effects and associations between either B vitamins or berries and age-related neurocognitive function. However, standardization is clearly needed both in the areas of vitamin research and in neurocognitive disease. Assuming that additional studies are deemed worthwhile by the research community, these future studies should use only well-verified and commonly used measurement techniques for B vitamin status, and where no standardization has yet been agreed upon, this should be a priority. This may require additional research to verify the value of measurement tools for neurocognitive function. Future studies should also use only well-established diagnostic criteria for neurocognitive disorders and should use only measures of cognitive function that have been verified and are commonly used. Studies that use non-standard diagnostic definitions or neurocognitive tests are of limited value to clinicians, policy makers, and other researchers.
Common to most bodies of evidence regarding medical fields, better quality, well-reported, larger and longer duration studies are needed to address the questions of interest. We strongly recommend that all future randomized trials - including those of B vitamins and potentially of berries or berry supplements- use the CONSORT statement as a guide to reporting (www.consort-statement.org).195, 196 This will not only improve the readers' understanding of the trials, but should also improve the quality of published studies. The value of non-randomized, and particularly non-controlled, trials is limited.
Further cross-sectional studies evaluating the association between B vitamin status and either diagnosis or severity of disease, with few exceptions are of very limited value. Only those that could include additional data that would give an indication as to cause and effect might be warranted. Additional longitudinal studies are needed to address the questions of the effect of B vitamin status on development of neurocognitive disorders or on the severity of disease. These should either be well-conducted dietary studies using well-established food frequency questionnaire techniques or well-powered, sufficiently analyzed long-term prospective studies. All of these studies of correlations must use appropriate statistical tools, including adjustment for potential confounders and investigation of interactions and sub-groups.
Regarding evaluation of berries and berry constituents, if the animal and in vitro research is deemed to be of sufficient merit to warrant a human study, we would strongly recommend that these studies be more of practical than theoretical value. Trials of extreme diets (i.e., of large daily quantities of berries) or of supplementation with large quantities of berry constituents would not be practical for anyone but research subjects. Even though these studies might help to explain mechanisms of action, they would fail to provide reasonable guidance for those seeking to either prevent or slow neurocognitive decline. Both dietary and supplementation studies should be of doses that a normal person can both easily incorporate into their lifestyle and afford.
Animal or in vitro models are especially suitable for investigating the mechanisms of actions of factors that might affect the aging process and the accompanying neurodegenerative changes in human, because the contribution of genetic and environmental factors to the aging process can be strictly controlled in animal or in vitro studies.
Several questions of interest will continue to be difficult to address from human studies given ethical and practical limitations. Topics of particular interest that may be more suitable to animal research include sorting out the independent effects of elevated homocysteine and of low B vitamin levels and/or intake, and clarifying the relative harm of B vitamin deficiency (or benefit of B vitamin supplementation) in different stages of health or neurocognitive disease. Several large observational studies in humans have attempted to address the interaction with homocysteine, however, without the ability to closely control homocysteine and B vitamin levels (or intake) it is unlikely that human studies will definitively answer this question. In addition, for practical reasons, it has been very difficult and thus rare that human studies are able to control sufficient factors to allow full analysis of B vitamin status and neurocognitive status.
Unfortunately many of the tasks or tests available to assess the processes underlying the age-associated deterioration of learning and memory have not been validated. Some insights for future aging research using animal or in vitro models were described in details elsewhere.193, 194, 197 Here we summarize their recommendations for future research of age-associated cognitive deficits or normal aging:
Identify learning and memory tests that are suitable for longitudinal investigations.
Replicate all test conditions.
Select behavioral or functional models suitable for testing two or more species. This will enable the comparison of data across species and encourage inter-species comparative studies.
Select two or more models, each thought to measure the same cognitive process. This will enable evaluation of the concurrent validities of those models.
Measure as many different aspects of performance as possible in as great a resolution as possible.
Measure learning/memory as a function of degradation of critical stimuli and/or increasing task difficulty. This will enable estimation of the construct validity of the model.
Measure mnemonic and non-mnemonic (such as attention) performance in the same animal in the same test session. This allows a comparative approach to assess the cognitive processes in animals that appear to be activated in humans when performing cognitive tests.
Take into account the effects of individual animal variability. Ideally, use a single-subject repeated measures design.
In particular, regarding future studies of berries and berry constituents, future research should elucidate the specific constituents that might be responsible for the observed effects on neurocognitive function. For both berry and B vitamin studies, when possible, experiments should evaluate both the specific mechanisms of action and neurocognitive function, allowing a correlation to be made between the two. However, the need for future animal and in vitro studies to evaluate putative mechanisms of action should be assessed largely based on whether clinical benefits of B vitamins and or berries are found in human trials.



Ovid MEDLINE® <1966 to Jan Week 3 2005>
Ovid MEDLINE® Daily Update <Jan 31, 2005>
Ovid MEDLINE® In-Process & Other Non-Indexed Citations <Jan 31, 2005>
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| 7 | brain.mp. | 639058 |
| 8 | dementia.mp. | 48550 |
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| 10 | or/1–9 | 1822067 |
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| 13 | exp Riboflavin/ | 9878 |
| 14 | (Riboflavin or lactoflavin).mp. | 11051 |
| 15 | exp Thiamine/ | 9522 |
| 16 | Thiamine.mp. | 11080 |
| 17 | exp Vitamin B 12/ | 11454 |
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| 19 | cyanocobalamin$.mp. | 1297 |
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Ovid MEDLINE® <1966 to Feb Week 4 2005>
Ovid MEDLINE® Daily Update <Mar 02, 2005>
Ovid MEDLINE® In-Process & Other Non-Indexed Citations <Mar 02, 2005>
CAB Abstracts <1973 to Jan 2005>
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| 11 | or/1–10 | 1837302 |
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| 16 | lingonberr$.mp. | 176 |
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| 26 | ribes.mp. | 4419 |
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| 28 | boysenberr$.mp. | 116 |
| 29 | or/13–28 | 30056 |
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| 32 | exp flavonoids/ | 48492 |
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| 45 | flavonolignan$.mp. | 101 |
| 46 | flavan-3-ol$.mp. | 406 |
| 47 | phytochemical$.mp. | 5036 |
| 48 | exp cinnamates/ | 10537 |
| 49 | cinnamate$.mp. | 2988 |
| 50 | hydroxycinnamate$.mp. | 507 |
| 51 | chlorogenic$.mp. | 2546 |
| 52 | Kaempferol$.mp. | 2550 |
| 53 | Rutin$.mp. | 3963 |
| 54 | Hydroxyethylrutoside$.mp. | 329 |
| 55 | cyanidin$.mp. | 1253 |
| 56 | malvidin$.mp. | 419 |
| 57 | petunidin$.mp. | 221 |
| 58 | phloridzin$.mp. | 611 |
| 59 | delphinidin$.mp. | 588 |
| 60 | ferulic$.mp. | 3010 |
| 61 | peonidin$.mp. | 342 |
| 62 | resveratro$.mp. | 1819 |
| 63 | Pulchellidin$.mp. | 3 |
| 64 | or/30–63 | 76600 |
| 65 | 12 and (29 or 64) | 2627 |
| 66 | exp nervous system/ | 1082233 |
| 67 | limit 66 to English language | 928559 |
| 68 | (12 or 67) and (29 or 64) | 3496 |
| 69 | 70 not 66 | 875 |
| 70 | pterostilbene$.mp. | 44 |
| 71 | (flavan$ or tannin$ or phytonutri$).mp. | 17564 |
| 72 | (70 or 71) and (12 or 67) | 361 |
| 73 | 76 not (66 or 69) | 221 |
| 74 | exp gooseberry/ | 24 |
| 75 | gooseberr$.mp. | 1431 |
| 76 | (74 or 75) and (12 or 67) | 19 |
| 77 | 81 not (66 or 69 or 73) | 18 |
| 78 | exp fruit/ | 44312 |
| 79 | fruit$1.mp. | 290648 |
| 80 | “fruit fly”.mp. | 4006 |
| 81 | (78 or 79) not 80 | 299608 |
| 82 | 87 and 12 | 1016 |
| 83 | 89 not (65 or 68 or 72 or 76) | 922 |
| 84 | or/65,69,73,77, 83 | 4633 |
Human Intervention Studies
| Author, Year: | Ref ID: | Vitamins: |
| Objective: | ||
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions |
|---|---|---|---|---|---|
| Study design | Age: | AD: | |||
| Country: | %Male: | PD: | |||
| Setting: | Race: | VascDz: | |||
| Funding: | Other: | Other: | |||
| Comments: | |||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| N enrolled: | ||||||
| N analyzed: | ||||||
| Drop-outs (%): | ||||||
| Follow-up duration: | Reasons for drop out: | |||||
| Comments: | ||||||
| Primary outcome(s): | |
| Secondary outcome(s): | |
| Adverse events: | |
| Limitations: | |
| Quality (A/B/C): | Applicability (1/2/3): |
| Outcome(s): | Results (Text) (or Definition) |
|---|---|
| Outcome | (units) | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N | (Intervention) | (Dose) | N | (Intervention) | (Dose) | N | (Intervention) | (Dose) | N | Control | ||
| Baseline value | (SE/SD) | |||||||||||
| Final value | (SE/SD) | |||||||||||
| Difference | (SE/SD/95% CI) | |||||||||||
| PDifference | ||||||||||||
| Net Difference | (SE/SD/95% CI) | |||||||||||
| PNet difference | ||||||||||||
| (RR/OR/HR) | 95% CI | |||||||||||
| P(RR/OR/HR) | ||||||||||||
IN THIS TABLE, REPLACE ITEMS IN PARENTHESES WITH ACTUAL ITEMS (EG, Vitamin B6, SE, RR)
REMOVE PARENTHESES!! DOSE GOES IN TOP LINE. 2nd CELL IS FOR SE or SD
Human - Correlation Studies
| Author, Year: | Ref ID: | Vitamins: |
| Objective: | ||
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | |
|---|---|---|---|---|---|---|
| Study design | XS/Longitudinal | Age: | Cases: | Cases: | AD: | |
| Non-c/Comparative | %Male: | |||||
| Pro/Retrospective | Race: | PD: | ||||
| Country: | Other: | Controls: | Controls: | VascDz: | ||
| Setting: | Other: | |||||
| Funding: | ||||||
| Comments: | ||||||
| Predictor(s): (eg, B vit level) | Outcome(s): | Definition: | Total | Population of interest | Control | |
| N enrolled: | ||||||
| N analyzed: | ||||||
| Drop-outs (%): | ||||||
| Comments: | ||||||
| Other predictors/outcomes reported: | |
| Follow-up duration (if applicable): | |
| Reasons for drop out (if applicable): | |
| Limitations: | |
| Quality (A/B/C): | Applicability (1/2/3): |
| Outcome(s): | Results (Text) |
|---|---|
Correlation of Predictors with Outcomes (cross-sectional studies)
| Description of (Sub-) Groups | N | (Sr/CSF) | (B vit) | (unit) | p | (Sr/CSF) | (B vit) | (unit) | p | (Sr/CSF) | (B vit) | (unit) | (Sr/CSF) | (B vit) | (unit) | p |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Mean | SE/SD | r= | Mean | SE/SD | r= | Mean | SE/SD | r= | Mean | SE/SD | r= | |||||
IN THIS TABLE, REPLACE ITEMS IN PARENTHESES WITH ACTUAL ITEMS (EG, Vitamin B6, SE, RR)
REMOVE PARENTHESES!!
| Description of (Sub-) Groups | N | (Outcome) | N | (Outcome) | ||
|---|---|---|---|---|---|---|
| OR (Adj 1*) | OR (Adj 2*) | OR (Adj 1*) | OR (Adj 2*) | |||
| (Reference gp) | 1 | 1 | 1 | 1 | ||
| (Reference gp) | 1 | 1 | 1 | 1 | ||
Adj 1, adjusted for ...
Animal and In Vitro Studies
| Author, Year | |
|---|---|
| Central hypothesis/Stated Purposes of Study | |
| Hypothesis diagram | |
| Experimental diets or reagents | |
| Control diets or reagents | |
| Study characteristics | Country: |
| Funding source: | |
| Gap in Knowledge | Known: |
| Unknown: | |
| Experimental model | |
| Study design | |
| Final sample size | |
| Duration | |
| Measurements / Endpoints / Outcomes of interest | |
| Other outcomes reported | |
| Results | |
| Authors' Conclusions | |
| Quality | |
| Limitations / Comments |
Experiment comparing blood thiamine levels in rats without electrode implantation, with electrode but no training, and with electrode with training is not included here.
| Author, Year | Collins, 1970 |
| Central hypothesis/Stated Purposes of Study | To evaluate the cerebellum in experimental animals rendered thiamine-deficient. |
| Hypothesis diagram | TD → glycogen accumulation within glial cells in the cerebellar molecular layer → neuronal damage or cerebellar degeneration |
| Experimental diets or reagents | Complete diet containing 0.25 mg of thiamine per kg of diet. In order to avoid death from the acute effects of thiamine deficiency, the animals were supplemented with intraperitoneal injections of thiamine hydrochloride containing “5γ” of thiamine or with Purina Rat Chow containing the same amount of thiamine. |
| Control diets or reagents | Pair-fed control: Purina Rat Chow was fed in daily amounts so as to reproduce the weight curve of the experimental animals |
| Normal control: synthetic diet containing 1.0 g of thiamine per kg of diet replaced the Purina Rat Chow | |
| Study characteristics | Country: US |
| Funding source: National Institute of Neurological Diseases and Stroke | |
| Gap in Knowledge | Known: |
| Unknown: The relationship between thiamine deficiency and cerebellar degeneration | |
| Experimental model | Sprague-Dawley albino rats of both sexes weighing 100–120 g |
| Study design | Paralleled experiment-controlled trial |
| Final sample size | 7 animals (In total? Or in experimental group?) |
| Duration | 30 weeks |
| Measurements / Endpoints / Outcomes of interest | Clinical signs |
| Histological findings: the sections of the cerebellar vermis were studied by phase microscopy, and thin sections, following staining with lead hydroxide, were studies by electron microscopy. | |
| Other outcomes reported | |
| Results | Of the 7 animals studied, all showed ataxia at some time during the course of the experiment and were ataxic at the time of sacrifice. |
| Cytoplasmic osmiophilic granules accumulation were found in glial cells in the molecular layer of the cerebellum; much less so in the granular layer; authors stated that this granular material is consistent with glycogen granules based upon their size and staining characteristics. | |
| Dendritic spines in contact with and surrounded by glycogen-filled glial processes showed signs of degeneration (the number of identifiable subcellular structures was markedly reduced). | |
| Authors' Conclusions | In thiamine deficient albino rats, marked glycogen accumulation was found within cerebellar glial cells and in some areas this process is associated with neuronal degeneration. |
| Quality | B |
| Limitations / Comments | |
| Author, Year | Nakagawasai, 2000 |
| Central hypothesis/Stated Purposes of the study | To further clarify the correlation between changes in the level of SST in the brain, particularly in the hippocampus, and amnesia during TD |
| Hypothesis diagram | Thiamin deficiency → ↓ SST level in hippocampus → ↓ performance of passive-avoidance learning |
| Experimental diets or reagents | TD group: completely thiamine-deficient diet (CLEA Japan Inc., Tokyo, Japan) consisted of a basic ratio of 67.6% carbohydrate, 18% protein, and 8% lipid; it was supplemented with various vitamins, except for thiamine, and minerals |
| Single treatment with thiamin HCl: TD rats were given a single thiamine HCl [0.5 mg/rat, subcutaneous (s.c.)] treatment on the 14th or 21st day | |
| Control diets or reagents | Pair-feeding control: the animals were given the same amounts of food as the TD group, however, the food contained 1.6 mg thiamine HCl/100 g of diet (CLEA Japan Inc., Tokyo, Japan). |
| Normal control group: the animals were allowed to freely take a complete normal diet containing thiamine. | |
| Study characteristics | Country: Japan |
| Funding source: No data | |
| Gap in Knowledge | Known: Somatostatin (SST), a neuromodulator in the central nervous system, is rick in the cerebral cortex and hippocampus, which are integrative regions of cognitive function. Intracerebrally administered SST improves impairement of learning and memory of cysteamine-treated, scopolamine-treated, and nucleus basalis magnocellularis-lesioned rats in the passive-avoidance learning test. It has been demonstrated that brain SST is one of the most severely affected systems in patients with AD. |
| Unknown: Brain SST may be suggested to play a facilitatory role in cognitive function | |
| Experimental model | Male Wistar rats, weighting 75–85 g at the beginning of the experiment |
| Study design | Paralleled experiment-controlled trial |
| Final sample size | N=8 per group |
| Duration | 25 days |
| Measurements / Endpoints / Outcomes of interest | Step-through passive-avoidance task: the latency time of the retention trial was measured on the 14th and 25th day after start of the TD diet. |
| Percentage of animals displaying impairment avoidance learning (entering in the dark compartment within 300 s on retention trial) was also recorded. | |
| Other outcomes reported | SST content in the brain |
| Results | The latency time was not significantly changed on the 14th day as compared TD rats with the pair-fed rats. On the 25th day however, the latency time of the retention trial in the TD rats was significantly decreased as compared to the pair-fed rats (p<0.05) |
| The % of avoidance learning impairment of the TD significantly increased on the 25th day (p<0.05). | |
| The single thiamine HCL on the 14th day reversed the latency time of the retention trial to the control level on the 25th day (p<0.05). However, when the thiamine HCl treatment was given on the 21st day, no reversal effect was observed for amnesia estimated on the 25th day. | |
| Authors' Conclusions | The present study showed that the amnesia as determined by passive-avoidance task was gradually induced over time after the start of TD feeding. Furthermore, the present data shows that this impairment of avoidance learning was completely reversed to an almost normal range merely by a single injection of thiamine HCl (0.5 mg/rat, s.c.) at a relatively early TD stage (14 days, and it remained reversed even with the continuation of the TD treatment until the 25th day. |
| Quality | A |
| Limitations / Comments | |
| Author, Year | Stewart et al, 1975 |
| Stated Purpose of the Study | To study the behavioral effects of pyridoxine deficiency in postweanling rats |
| Hypothesis diagram | |
| Experimental diets or reagents | Pyridoxine deficient diet |
| Control diets or reagents |
|
| Study characteristics | Country: US |
| Funding source: No data | |
| Gap in Knowledge | Known: |
| Unknown: | |
| Experimental model | Male rats of the Charles River CD strain, 3 wk old and 7 wk old |
| Study design | See original paper for details regarding the 7 separate experiments. |
| The essential features of the apparatus used in the experiment included a start box, separated from the runway proper by a guillotine door, and a safety box with no grids on the floor at the end of the runway. The entrance to the goal box was also through a guillotine door. Shock could be delivered to the floor of the start box and runway but not to the safety box. At each trial both the doors were raised that activated a light and buzzer that served as a conditional stimulus. The conditinal stimulus remained on between the raising of the doors and the onset of the unconditional stimulus which was an electric shock. Both stimuli remained on until the rat escaped from the runway to the goal box at which time the stimuli were terminated. | |
| Final sample size | See table 1 in original paper |
| Duration | 3–10 weeks, depending on the experiment |
| Measurements / Endpoints / Outcomes of interest | Avoidance response behavior |
| Motor function (running time) | |
| Shock escape task | |
| Passive avoidance tack | |
| Other outcomes reported | |
| Results |
|
| Authors' Conclusions | Avoidance behavior in rats is affected by pyridoxine deficiency. |
| Five weeks of pyridoxine deficiency was sufficient to produce a deficit in active avoidance learning in the postweanling animals whereas up to 10 weeks of deficient diet ingestion produced no effect on young adult animals. | |
| Mild motor impairment was produced in the young pyridoxne-deficient rats but the avoidance learning deficit could not be explained away on this basis, because a deficit in passive avoidance was also produced by the deficiency. | |
| Reversal of the deficiency by pyridoxine injection restored the active avoidance learning to normal within 1 week. | |
| Quality | A |
| Limitations / Comments | |
| Author, Year | Guilarte, 1991 |
| Central hypothesis/Stated Purposes of the study | To quantitatively measure the effects of marginal vitamin B-6 nutrition during gestation, lactation, and postweaning on spontaneous locomotor activity of the developing rat. |
| Hypothesis diagram | |
| Experimental diets or reagents | Vitamin B6 deficient diet: 0.7 mg/kg pyridoxine HCl |
| Control diets or reagents | Vitamin B6 sufficient diet: 7.0 mg/kg pyridoxine HCl |
| Study characteristics | Country: US |
| Funding source: No data | |
| Gap in Knowledge | Known: B-6 deficiency during gestation and lactation results in abnormal CNS development in neonatal animals and human infants. |
| Unknown: Motor abnormalities, one of the most commonly described consequences of neonatal vitamin B-6 deficiency, have not been systematically studied. | |
| Experimental model | Male pup Long-Evans rats at 14, 28, and 56 days of age |
| Study design | After 2–3 weeks on the specified diet, female rats were mated with male rats. Within 24 hours of birth, offspring were weighed and litter size culled to 8. Dams and offspring were maintained on their respective diet throughout the study. |
| Final sample size | N=6 per group |
| Duration | 56 days |
| Measurements / Endpoints / Outcomes of interest | Locomotor activity measurements: Behavioral data collection was automated using a Digiscan Animal Activity Monitor (Omnitech Model #RXYZCM) coupled to a Digiscan Analyzer (Omnitech Model DCM-8). 1 male pup per litter was randomly selected for behavioral study in the computerized Digiscan system. Measurements on the same rat were obtained at 14, 28, and 56 days of age. |
| Other outcomes reported | |
| Results | The analysis of variance with repeated measures revealed that there were no significant dietary treatment effects for any of the locomotor activity variables measured. |
| Further analysis of these overall interactions indicated that animals from the vitamin B6 restricted diet group demonstrated a pattern of hypoactivity at 14 days of age followed by hyperactivity postweaning. This effect is demonstrated for the measurements of horizontal activity, total distance, and number of vertical movements. Data for other behavioral measures showed a similar pattern of locomotor behavior. | |
| Authors' Conclusions | The data clearly show 2 patterns of spontaneous locomotor behavior in the vitamin B6 restricted developing rat. In early neonatal life, vitamin B6 restriction produces a generalized hypoactivity in essentially all measures of locomotor behavior. The novel finding in the present study is that in the postweaning period, at 28, 56, and 196 days of age, the vitamin B6 restricted rats became hyperactive in many of the indices of horizontal, rearing, and stereotypic behavior. The degree of hyperactivity became more apparent as the animals aged with many more indices of locomotor behavior demonstrating hyperactivity. |
| Quality | B |
| Limitations / Comments | No proxy measure for how “deficient” of those vitamin B6 restricted rats. Perhaps there is no significant difference in B6 status between the 2 groups. |
| Postweaning rats were used. | |
| Author, Year | Ezer, 1976 |
| Central hypothesis/Stated Purposes of the study | Vitamin B12 can promote the synthesis of RNA and of protein plays an important role in brain function, particularly in learning and memory |
| Hypothesis diagram | Vitamin B12 → promote the synthesis of RNA and of protein → improve learning and memory |
| Experimental diets or reagents | Animals were fed on a standard diet and vitamin B12 was administered intraperitoneally at doses of 4×1, 4×10, or 4×100 μg/kg |
| Control diets or reagents | Animals were fed on a standard diet and vitamin physiologic saline or water containing tween 80 was administered intraperitoneally |
| Study characteristics | Country: Hungary |
| Funding source: No data | |
| Gap in Knowledge | Known: The experimental methods elaborated for the laboratory investigation of the learning process on animals can mainly be divided into 2 groups, either being based on the consolidation of Pawlov's conditioned reflex, or applying Skinner's operant conditioning. |
| Unknown: The effect of vincristine and vitamin B12 on brain function assessed by a new simple method called the tape test, which dose not require expensive instruments. | |
| Experimental model | Female Wistar rats weighing 100–120 g. For those animals were selected (or learning-dull rats), which were unable to remove the tape within 60 s during 3 selections (on 3 successive days). |
| Study design | Parallel experiment-controlled study |
| Final sample size | Control 96 |
| Vitamin B12 4×1 μg/kg:36 4×10 μg/kg:36 4×100 μg/kg:84 | |
| Duration | N/A (intraperitoneally) |
| Measurements / Endpoints / Outcomes of interest | Problem-solving ability: the problem-solving times were measured on 4 successive days, with posttrial treatment. The problem-solving times are classified as follows: I (excellent) tearing off the tape in 1–20 s. II (good) tearing off the tape in 21–40s. III (poor) tearing off the tape in 41–59s. IV (without success) failure to tear off the tape in 60s. |
| P.S. index = (sum of problem solving I × 100)/sum of problem solving IV | |
| Other outcomes reported | |
| Results | There was a dose-dependent effect of vitamin 12 on problem-solving ability in learning-dull rats. The results were expressed in 1–2 and 3–4 trial blocks. The change of P.S. index values (except 1 μg/kg vitamin B12) is significant larger than the control values. The problem-solving times were significantly shorter in rats received higher dose of vitamin B12. |
| Compared to the control animals, the distribution of P.S.T 1–4 trial block in rats received 4×100 μg/kg vitamin B12 was significantly toward shorter time categories (p<0.01). | |
| Authors' Conclusions | There is a stimulatory effect of vitamin B12 on problem-solving ability of the learning-dull rats and the effect is dose-dependent. |
| Quality | B |
| Limitations / Comments | The statistical methods were not reported. Not sure why the comparison arms are not balanced. |
| Vitamin B12 was administered intraperitoneally | |
| Author, Year | Sasaki et al, 1992; Sasaki et al, 1993 |
| Central hypothesis | Acetylcholine contributes to learning and nicotine may improve learning in an acetylcholine deficient rat (data for this is not extracted in this table). The following data pertains to the effect of vitamin B12 on cognition in rats fed with a choline deficient diet. |
| Hypothesis diagram | |
| Experimental diets or reagents |
|
| Basal Diet | Basal diet: standard rat chow containing 1.6 mg/g of choline chloride |
| Study characteristics | Country: Japan |
| Funding source: SRF Grant for Biomedical Research | |
| Gap in Knowledge | Known: |
| Unknown: | |
| Experimental model | 4 wk old male Wistar rats fed above diets |
| Study design | On diet for 10 weeks, then tested for passive avoidance learning. Step-through procedure: an apparatus consists of two compartments (one illuminated, one dark) separated by a door; an animal was placed into the illuminated side and, through the door, could enter the dark side which has a grid floor; once all 4 paws are on the grid, an electric shock was delivered. The response latency in entering the dark compartment was measured. This learning was repeated on the 2nd, 3rd and 4th day. |
| Final sample size | 10 in each group |
| Duration | 10 weeks |
| Measurements / Endpoints / Outcomes of interest | Latency time in Passive avoidance learning |
| Other outcomes reported | Whole brain choline and acetylcholine |
| Results | Latency time in choline-deficient supplemented with vitamin B12 rats was significantly longer than that of the choline-deficient rats on the fourth day (P<0.05). |
| Vitamin B12 increased tissue weight of the brain and content of acetylcholine in rats fed a choline-deficient diet. | |
| Authors' Conclusions | Vitamin B12 facilitated acetylcholine synthesis or release in the brain and improved the cognitive disturbance. |
| Quality | B |
| Limitations / Comments | The improvement of cognitive disturbance may be due to intense input of shock stimuli. The study is not able to separate the learning improvement from increased shock sensitivity in the step-through procedure. |
| Not preferred comparisons. For our purpose of this review, the best comparisons in this coline deficient diet supplemented with B12 vs. choline deficient diet. | |
| Author, Year | Gospe et al., 1995 |
| Central hypothesis/Stated Purposes of the study | The 1st experiment describes the effect of folate deficiency on the histopathology of brain and skeletal muscle. |
| The 2nd experiment compares the growth, food spilling behavior and the concentrations of total folate, cysteine and homocysteine in serum, and of neurotransmitters in the hypothalamus and caudate nucleus from folate-deficient and control mice. | |
| The 3rd experiment compares the growth, food spilling behavior and the concentrations of folate, SAM and S-adenosylhomocysteine (SAH) in whole brain and hematologic characteristics of folate-deficient and control mice | |
| Hypothesis diagram | |
| Experimental diets or reagents | Amino acid based diet supplemented with 0 μmol folic acid for 38 days |
| Control diets or reagents | Amino acid based diet supplemented with 11.3 μmol folic acid per kg diet for 38 days |
| Study characteristics | Country: US |
| Funding source: USPHS, USDA & California Experiment Station | |
| Gap in Knowledge | Known: |
| Unknown: | |
| Experimental model | Weanling Swiss Webster female mice |
| Study design | 2 groups of mice of equal mean body weights and randomly assigned to the two diets. Measurement of body weights, amount of food given, spilled by the mice and food left in the feed cup were almost all obtained daily. At the end of the feeding periods, the mice were killed by overdosing with diethyl ether and bled by cardiac puncture. |
| Experiment 1, brains were removed and fixed in formalin for pathologic evaluation. | |
| Experiment 2, brains were removed, frozen in liquid nitrogen and weighed, caudate nuclei and hypothalamus were dissected from frozen coronal section. Samples were analyzed for neurotransmitters and their metabolites. | |
| Experiment 3, whole brains were frozen and analyzed for total-folate, S-adenosylhomocysteine and S-adenosylmethionine. | |
| Final sample size | Exp 1: 2 from folate-deficient group and 1 from the control group (not clearly reported) |
| Exp 2: 5 in each group (only 4 of each were analyzed, data for one deficient and one control mouse were omitted because they spilled very little food) | |
| Exp 3: 7 in each group | |
| Duration | Exp 1: 38 days |
| Exp 2: 37 days | |
| Exp 3: 39 days | |
| Measurements / Endpoints / Outcomes of interest | Histological findings |
| Neurotransmitters in the hypothalamus and caudate nucleus from folate-deficient and control mice | |
| Other outcomes reported | Weight loss, food spilling behavior, and the concentrations of total folate, cysteine and homocysteine in serum, |
| Results |
|
| Authors' Conclusions | The combination of weight loss and augmented food consumption suggests that folate depletion may reduce the efficiency by which animals utilize dietary nutrients to meet physiological functions, suggesting that an alteration in hypothalamic and/or neuroendocrine function may underlie this effect of folate depletion. In addition, these changes may be due to a folate deficiency induced reduction in nutrient absorption. |
| These studies were designed to characterize the food spilling behavior of folate deficient mice and to determine if it might have a neurochemical basis. Precautions were taken to minimize the effects of diurnal variation on the results of this study. These included housing the mice in a room with a 12 h light dark cycle, feeding and weighing the mice at the same time each day and alternately killing control and deficient mice within a 2 h window at the end of each experiment. | |
| Quality | B |
| Limitations / Comments | The feeding patterns during the dark cycle were not monitored. Exp 3 has no outcome of interests to this review. |
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | ||
|---|---|---|---|---|---|---|---|
| Study design | Prospective longitudinal | Age: | 82 | N/A | Nursing home residents and outpatients with Dx of dementia and low serum B12 level (<300 pg/mL) | ND | AD: |
| Country: | Lebanon | %Male: | 36 | N/A | PD: | ||
| Setting: | Nursing home and outpatient clinic | Race: | VascDz: | ||||
| Funding: | ND | Other: | Other: According to the established criteria | ||||
| Comments: No definition for dementia type is provided | |||||||
| Intervention(s): | Control: N/A | Total | Intervention 1 | Intervention 2 | Control | |
| B12: 1000 μg iv daily for 1 week; then weekly for 1 month; then monthly thereafter | N enrolled: | 62 | 62 | |||
| N analyzed: | 56 | 56 | ||||
| Drop-outs (%): | 6 (11) | 8 (14) | ||||
| Follow-up duration: 12 months | Reasons for drop out: death: 2; ND: 4 | |||||
| Comments: | ||||||
| Primary outcome(s): | Folestein MMSE (23–27: mildly impaired; 19–23: moderately impaired; ≤19: severely impaired) |
| Secondary outcome(s): | |
| Adverse events: | ND |
| Limitations: | No normal (without dementia) control group; small sample size; power calculation not reported |
| Quality (A/B/C): C | Applicability (1/2/3): 1 |
| Outcome(s): | Results (Text) (or Definition) |
|---|---|
| MMSE | At 3 months to 12 months of follow-up, 40 /56 subjects improved in their mental status score. Six subjects gained 1,2,3,6, and 9 points, respectively, and essentially normalized their scores. Three patients maintained their score after 1 year of follow-up. The only clinical feature that predicted amelioration in MMSE following treatment was a short duration of pre-treatment mental symptoms |
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | ||
|---|---|---|---|---|---|---|---|
| Study design | Prospective longitudinal cohort | Age: | 70.8+/-9.4 | Medically stable, probable AD | Significant renal insufficiency (Cr>1.5 mg/dL), history of B12 or folate deficiency, use of vitamin supplement containing >400 μg folate, regular use of B12 injections, or medications known to influence homocysteine metabolism (eg, methotrexate, azathioprine, phenytoin) | AD: NINCDS-ADRDA | |
| Country: | US | %Male: | 36% | PD: | |||
| Setting: | Clinics | Race: | VascDz: | ||||
| Funding: | Government | AD duration: | 3.3+/-2.5 yr | Other: | |||
| Comments: Open label | |||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| Folate 5 mg | N enrolled: | 69 | ||||
| Vitamin B12 1 mg | N analyzed: | 63 | ||||
| Vitamin B6 50 mg | Drop-outs (%): | 9% | ||||
| Follow-up duration: 8 wk | Reasons for drop out: nd | |||||
| Comments: Compliance, by pill count exceeded 80% | ||||||
| Primary outcome(s): | Homocysteine level |
| Secondary outcome(s): | MMSE, Alzheimer Disease Assessment Scale cognitive subscale (ADAScog), Geriatric Depression Scale |
| Adverse events: | No serious adverse events and in no instance was the vitamin regimen discontinued as a result of adverse events. In no instance was an adverse symptom judged to be related to the study intervention. |
| Limitations: | |
| Quality (A/B/C): C | Applicability (1/2/3): 2 |
| Outcome(s): | Results (Text) (or Definition) |
|---|---|
| Outcome | MMSE | (0–30) | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N | Multivitamin | N | (Intervention) | (Dose) | N | (Intervention) | (Dose) | N | Control | |||
| Baseline value | (SD) | 63 | 19.2 | 7.0 | ||||||||
| Final value | (SD) | 63 | 19.3 | 7.7 | ||||||||
| Difference | ||||||||||||
| PDifference | NS | |||||||||||
| Net Difference | ||||||||||||
| PNet difference | ||||||||||||
| (RR/OR/HR) | ||||||||||||
| P(RR/OR/HR) | ||||||||||||
Lack of association between multivitamin use and cognitive decline (unclear if MMSE or ADAScog) was not affected by controlling for baseline Hcy.
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | ||
|---|---|---|---|---|---|---|---|
| Study design | Randomized Xover | Age: | 72 | Dementia clinic with diagnosis of AD | Cerebrovascular disease; Hachinski score (for multi-infarct dementia) >4 | AD: National Institute of Neurological and Communicative Disorders and Stroke-Alzheimer's Disease and Related Disorders Association criteria for “probable AD” | |
| Country: | US | %Male: | 36% | PD: | |||
| Setting: | Specialty clinic | Race: | nd | VascDz: nd | |||
| Funding: | NIH, private | Other: | Other: | ||||
| Comments: | |||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| Thiamine HCl 1 g TID | Niacinamide 250 mg TID | N enrolled: | 16 | |||
| N analyzed: | 11 | |||||
| Drop-outs (%): | 31% | |||||
| Follow-up duration: 3 mo | Reasons for drop out: 2 hospitalized; 3 required antidepressant | |||||
| Comments: Randomization performed by pharmacy | ||||||
| Primary outcome(s): | MMSE, Blessed Score, Haycox Score |
| Secondary outcome(s): | |
| Adverse events: | None |
| Limitations: | Small sample size, incomplete description of sample or outcomes |
| Quality (A/B/C): C | Applicability (1/2/3): 1 |
| Outcome(s): | Definition |
|---|---|
| MMSE | Mini-Mental State Examination, completed by nurse |
| Blessed Score | Behavioral rating, completed by nurse (Blessed et al. The association between quantitative measures of dementia and senile change in the cerebral gray matter of elderly subjects. Br J Psychiatry 1968; 114:797–811) |
| Haycox Score | Behavioral rating, competed by caretaker (Haycox et al. A simple, reliable clinical behavioral scale for assessing demented patients. J Clin Psychiatry 1984;45:23–4) |
| Outcome | MMSE | (score) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| N | Thaimine | 3 g/day | N | Control (Niacinamide) | |||||
| Baseline value | (SEM) | 11 | 14.2 | -1.4 | 11 | same | |||
| Final value | (SEM) | 11 | 15.5 | (1.5) | 11 | 14.7 | (1.6) | ||
| Difference | (SEM) | +1.35 | (0.67) | +0.54 | (0.68) | ||||
| PDifference | 0.08 | 0.45 | |||||||
| Net Difference | (SEM) | +0.72 | (0.14) | ||||||
| PNet difference | <0.001 | ||||||||
| Outcome | Blessed | (score) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| N | Thaimine | 3 g/day | N | Control (Niacinamide) | |||||
| Baseline value | (SEM) | 11 | 7.41 | (0.81) | 11 | same | |||
| Final value | (SEM) | 11 | 7.55 | (1.00) | 11 | 6.93 | (0.86) | ||
| Difference | (SEM) | +0.14 | (0.64) | -0.48 | (0.74) | ||||
| PDifference | 0.83 | 0.27 | |||||||
| Net Difference | (SEM) | +0.62 | (0.52) | ||||||
| PNet difference | 0.27 | ||||||||
| Outcome | Haycox | (score) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| N | Thaimine | 3 g/day | N | Control (Niacinamide) | |||||
| Baseline value | (SEM) | 11 | 11.1 | (1.2) | 11 | same | |||
| Final value | (SEM) | 11 | 13.4 | (1.8) | 11 | 12.2 | (1.4) | ||
| Difference | (SEM) | +2.29 | (1.40) | +1.10 | (1.20) | ||||
| PDifference | 0.13 | 0.40 | |||||||
| Net Difference | (SEM) | +1.21 | (0.81) | ||||||
| PNet difference | 0.17 | ||||||||
“Subjectively, no important clinical changes were observed in these moderately impaired patients during their 3 months of receiving thiamin (nor with the niacinamide placebo)”
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | ||
|---|---|---|---|---|---|---|---|
| Studydesign | Cohort | Age: | 71 | Dementia patients, low cobalamin levels < 190 ng/l | ND | AD: | |
| Country: | USA | %Male: | 25 | PD: | |||
| Setting: | Outpatient facilities for dementia, affiliated w/university & VA medical center | Race: | ND | VascDz: | |||
| Funding: | Government | Other: | Other: | ||||
| Comments: Subjects grouped by DSM-III-R criteria into following categories: probable AD, possible AD, and other dementia; controls include PD w/o dementia; cobalamin assay with reference interval 90–1016 ng/l - established by 332 healthy volunteers | |||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |||||
| Cyanocobalamin 1000 μg IM per wk × 8 wk, then per mo for ≥4 mo | N enrolled: | 16* | ||||||||
| N analyzed: | 14 | |||||||||
| Drop-outs (%): | ||||||||||
| Follow-up duration: 1 follow-up after 6–8 months therapy | Reasons for drop out: | |||||||||
| Comments: *34 AD pts with low cobalamin levels - unclear how many were actually enrolled. Stated 9 pts fully studied, 7 partially studied, remainder refused further tx, were on cobalamin prior to being studied, or did not comply with tx. CERAD battery pre-treatment found variable degrees of dementia in 13 pts & 3 nondementia pts | ||||||||||
| Primary outcome(s): | Neuropsychological outcomes via CERAD battery results including MMSE, 15-item naming task, verbal fluency task, verbal memory task, visuoconstructive task |
| Secondary outcome(s): | |
| Adverse events: | |
| Limitations: | |
| Quality (A/B/C): C | Applicability (1/2/3): 1 |
| Outcome(s): | Results (Text) |
|---|---|
| Neuropsychologic | Report only overall improvement/worsening in cognitive testing (N=14) |
| Improved or became normal - 1 (improvement in several CERAD tasks) | |
| No change - 12 | |
| Worse - 1 (functional progression of dementia, CERAD results did not change noticeably) | |
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | ||
|---|---|---|---|---|---|---|---|
| Study design | RCT | Age: | 73 | 73 | Male, 70–79 yr, healthy, EtOH<4/day, IQ>80 | Drugs that affect B6 metabolism, drugs affecting immune reactivity, B6 supplement within 3 mo, auto-immune diseases, long-acting hypnotics or anti-depressants within 1 mo, drug or EtOH addiction, abnormal chemical/hematological profile, sensory or motor defect that may affect testing. | AD: |
| Country: | Netherlands | %Male: | 100 | 100 | PD: | ||
| Setting: | Population | Race: | nd | nd | VascDz: | ||
| Funding: | nd | PLP | 31 | 29 | Other: | ||
| α-EAST | 1.75 | 1.83 | |||||
| IQ | 109 | 111 | |||||
| Comments: Subjects paired by age, vitamin B6 status and IQ, then randomized. | |||||||
PLP: plasma pyridoxal-f'-phosphate; α EAST: erythrocyte enzyme aspartate aminotransferase activation
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| Vitamin B6 (pyridoxine HCl) 20 mg per day | Placebo (identical capsules) | N enrolled: | 82 | 41 | 41 | |
| N analyzed: | 76 | 38 | 38 | |||
| Drop-outs (%): | 7% | |||||
| Follow-up duration: 12 wk | Reasons for drop out: 3: illness; 3 were matched subjects to the ill ones | |||||
| Comments: Complicated statistical analyses performed. Different for each outcome. Suggests that authors may have been fishing for significant results. | ||||||
| Primary outcome(s): | Cognitive functioning |
| Secondary outcome(s): | Pupil size as measure of mental effort, B 6 status, mood |
| Adverse events: | nd |
| Limitations: | Non-standardized tests. Questionable statistics. Incompletely reported data. |
| Quality (A/B/C): C | Applicability (1/2/3): 2 |
| Outcome(s): | Results (Text) (or Definition) |
|---|---|
| Associate Learning Task | Test of short term verbal memory, remembering name-occupation pairs (9 pairs) |
| Associate Recognition Task | Test of long term verbal memory, same as Associate Learning Task with 1 hr delay (9 pairs) |
| LongTermMemory Storage | Difference (by subtraction) between Associate Learning and Recognition Tasks (what is forgotten) (9 pairs) |
| Short Term Memory Task (Pupilometry) | Pupil diameter measured during timed memory/visual recognition test. Measures “mental effort” as a combination of phasic pupil response, reaction times and number of correct responses. (41 trials) |
| Speed of Processing Task (Pupilometry) | Pupil diameter measured during timed task requiring choosing button on opposite corner of displayed marker. Measures “mental effort” as a combination of phasic pupil response, reaction times and number of correct responses (51 trials) |
| Outcome | Associate Recognition Task | (0–9) | Reported graphically | ||||||
|---|---|---|---|---|---|---|---|---|---|
| N | B6 | 20 mg | N | Placebo | |||||
| Baseline value | (SD) | 38 | 3.2 | (2.3) | 38 | 3.9 | (2.1) | ||
| Final value | (SD) | 38 | 3.3 | (2.3) | 38 | 2.8 | (2.0) | ||
| Difference | |||||||||
| PDifference | NS | ||||||||
| Net Difference | |||||||||
| PNet difference | |||||||||
| Outcome | Long Term Memory Storage (Forget Score) | (0–9, low score better) | Reported graphically | ||||||
|---|---|---|---|---|---|---|---|---|---|
| N | B6 | 20 mg | N | Placebo | |||||
| Baseline value | (SD) | 38 | 0.35 | (1.4) | 38 | 0.45 | (2.1) | ||
| Final value | (SD) | 38 | 0 | (1.4) | 38 | 0.9 | (2.1) | ||
| Difference | |||||||||
| PDifference | P<0.03 | ||||||||
| Net Difference | |||||||||
| PNet difference | |||||||||
Associate Learning Task: Multivariate one-way ANCOVA did not show a multivariate difference between groups.
Mental Effort Tests: Number of correct responses and reaction times on speed of processing task and memory task were the same for both groups. Pupillary responses were the same for both groups.
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | |||
|---|---|---|---|---|---|---|---|---|
| Study design | Prospective longitudinal cohort (Xover) | Age: | 53 (40–64) | Idiopathic PD, severe on-off effects such that they could no longer function normally. (Initial excellent response to L-Dopa, then choreic movements developed, then on-off: sudden loss of effectiveness with abrupt onset of akinesia followed by equally sudden return of effectiveness). Stabilized for at least 7 days on L-Dopa or Carbidopa/L-Dopa doses. | (Amantadine discontinued) | AD: | ||
| Country: | US | %Male: | 60% | PD: | nd | |||
| Setting: | Clinic (admitted for study) | Race: | nd | VascDz: | ||||
| Funding: | Government, Pharmaceutical | Other: | 1.5-3yL-Dopa 2 post-thalamotomy | Other: | ||||
| Comments: | ||||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| Pyridoxine 100 mg IM with L-Dopa (1 dose) | L-Dopa alone | N enrolled: | 5 | 5 | 5 | |
| Pyridoxine 100 mg IM with Carbidopa/L-Dopa (1 dose) | Carbidopa/L-Dopa alone | N analyzed: | 5 | 5 | 5 | |
| Drop-outs (%): | ||||||
| Follow-up duration: 1 dose each, separated by at least 7 days | Reasons for drop out: | |||||
| Comments: | ||||||
| Primary outcome(s): | Plasma levels of Dopa, homovanillic acid (HVA), 3-O-methyldopa (OMD), |
| Secondary outcome(s): | Clinical state (not clearly defined) |
| Adverse events: | |
| Limitations: | |
| Quality (A/B/C): | Applicability (1/2/3): 3 |
| Outcome(s): | Results (Text) (or Definition) |
|---|---|
| Clinical state | No alteration in clinical state after a single dose of pyridoxine intramuscularly either while receinving L-Dopa alone or with Carbidopa |
| HVA, OMD | No change in plasma levels after a single dose of pyridoxine intramuscularly (shown graphically from 9 am to ~4 pm in 3 patients) |
| Dopa | Dopa consistently decreased slightly with pyridoxine compared to no pyridoxine (shown graphically from 9 am to ~6 pm in 3 patients) |
| Effect not seen with combination Carbidopa/L-Dopa | |
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | |||
|---|---|---|---|---|---|---|---|---|
| Study design | RCT | Age: | 80.25 (5.78) | 80.21 (5.45) | Patients recruited among the elderly (70–90 yr) living either at home or in a community and had folate below 3 ng/mL and diagnosed to have mild to moderate severity of cognitive decline as assessed by Global deterioration scale | Patients with gastrointestinal, endocrine, CVD, or renal pathology, diagnosed with depression, with no cognitive decline (MMSE >24) or with a clear diagnosis of dementia (MMSE <16). And also those with regular intake of vitamins or of more than 55g of alcohol | AD: | |
| Country: | Italy | %Male: | 25% | 8% | PD: | |||
| Setting: | Community and conducted by authors in an academic setting | Race: | ND | ND | VascDz: | |||
| Funding: | nd | Other: weight in Kg | 63.88 (14.42) | 57.29 (10.56) | Other: Cognitive impaired | MMSE score 16–24 | ||
| Comments: | ||||||||
| Intervention(s): | Control: | Total | Intervention 1 Folate | Intervention 2 | Control Placebo | |
| Folic acid 15 mg/d po | Placebo similar to the intervention | N enrolled: | 30 | 16 | 14 | |
| N analyzed: | 30 | 16 | 14 | |||
| Drop-outs (%): | 0% | |||||
| Follow-up duration: 60days | Reasons for drop out: | |||||
| Comments: No cognitive enhancer drugs or other treatments active on the CNS were allowed during the treatment period | ||||||
| Primary outcome(s): | Randt Memory Test: a multidimensional memory test consisting of 5 different tasks |
| Secondary outcome(s): | |
| Adverse events: | ND |
| Limitations: | Small sample and short duration of treatment |
| Quality (A/B/C): B | Applicability (1/2/3): 2 |
| Outcome(s): | Results (Text) (or Definition) |
|---|---|
| Cognitive improvement | Greater folate deficiency at the beginning of treatment was related to greater cognitive improvement after 2 months of treatment. However there was a lack of correlation between severity of folate deficiency and severity of cognitive decline at the baseline evaluation. |
| Outcome | Acquisition and recall (part of Randt Memory Test) | nd on scale | |||||
|---|---|---|---|---|---|---|---|
| N | Folate po | 15 mg | N | Placebo | |||
| Baseline value | (SE/SD) | 16 | 55.31 | 12.06 | 14 | 62.07 | 14.70 |
| Final value | (SE/SD) | 16 | 59.56 | 12.53 | 13 | 60.85 | 18.81 |
| Difference | (SE/SD/95% CI) | ||||||
| PDifference | NS | ||||||
| Net Difference | (SE/SD/95% CI) | ||||||
| PNet difference | <0.007 | ||||||
| (RR/OR/HR) | 95% CI | ||||||
| P(RR/OR/HR) | |||||||
| Outcome | Delayed recall (part of Randt Memory Test) | nd on scale | |||||
|---|---|---|---|---|---|---|---|
| N | Folate po | 15 mg | N | Placebo | |||
| Baseline value | (SE/SD) | 16 | 56.06 | 11.16 | 14 | 63.0 | 15.23 |
| Final value | (SE/SD) | 16 | 63.44 | 13.9 | 13 | 63.0 | 19.27 |
| Difference | (SE/SD/95% CI) | ||||||
| PDifference | NS | ||||||
| Net Difference | (SE/SD/95% CI) | ||||||
| PNet difference | <0.007 | ||||||
| (RR/OR/HR) | 95% CI | ||||||
| P(RR/OR/HR) | |||||||
| Outcome | Memory index (part of Randt Memory Test) | nd on scale | |||||
|---|---|---|---|---|---|---|---|
| N | Folate po | 15 mg | N | Placebo | |||
| Baseline value | (SE/SD) | 16 | 49.25 | 12.26 | 14 | 57.07 | 15.59 |
| Final value | (SE/SD) | 16 | 56.06 | 13.90 | 13 | 56.54 | 21.38 |
| Difference | (SE/SD/95% CI) | NS | |||||
| PDifference | |||||||
| Net Difference | (SE/SD/95% CI) | ||||||
| PNet difference | <0.002 | ||||||
| (RR/OR/HR) | 95% CI | ||||||
| P(RR/OR/HR) | |||||||
| Outcome | Encoding (part of Randt Memory Test) | nd on scale | |||||
|---|---|---|---|---|---|---|---|
| N | Folate po | 15 mg | N | Placebo | |||
| Baseline value | (SE/SD) | 15 | 4.33 | 2.11 | 14 | 5.29 | 2.33 |
| Final value | (SE/SD) | 16 | 4.79 | 1.72 | 13 | 5.08 | 3.29 |
| Difference | (SE/SD/95% CI) | NS | |||||
| PDifference | |||||||
| Net Difference | (SE/SD/95% CI) | ||||||
| PNet difference | <0.005 | ||||||
| (RR/OR/HR) | 95% CI | ||||||
| P(RR/OR/HR) | |||||||
| Outcome | Cognitive efficiency (part of Randt Memory Test) | nd on scale | |||||
|---|---|---|---|---|---|---|---|
| N | Folate po | 15 mg | N | Control | |||
| Baseline value | (SE/SD) | 16 | 3.28 | 1.77 | 14 | 4.25 | 2.33 |
| Final value | (SE/SD) | 16 | 3.91 | 2.62 | 13 | 4.31 | 2.87 |
| Difference | (SE/SD/95% CI) | ||||||
| PDifference | NS | ||||||
| Net Difference | (SE/SD/95% CI) | ||||||
| PNet difference | NS | ||||||
| (RR/OR/HR) | 95% CI | ||||||
| P(RR/OR/HR) | |||||||
| Outcome | Attention efficiency (part of Randt Memory Test) | nd on scale | |||||
|---|---|---|---|---|---|---|---|
| N | Folate po | 15 mg | N | Placebo | |||
| Baseline value | (SE/SD) | 16 | 6.4 | 0.77 | 14 | 6.83 | 1.10 |
| Final value | (SE/SD) | 16 | 7.52 | 1.48 | 13 | 6.9 | 1.24 |
| Difference | (SE/SD/95% CI) | ||||||
| PDifference | <0.05 | ||||||
| Net Difference | (SE/SD/95% CI) | ||||||
| PNet difference | NS | ||||||
| (RR/OR/HR) | 95% CI | ||||||
| P(RR/OR/HR) | |||||||
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | |||
|---|---|---|---|---|---|---|---|---|
| Study design | Prospective longitudinal cohort | Age: | 57–76 | Cases: PD, treated with L-Dopa 3–6 g/day during the previous 2 yr | Cases: Cardiac, renal or hepatic disease | AD: | ||
| Country: | US | %Male: | nd | PD: | nd | |||
| Setting: | Outpatient (in metabolic ward) | Race: | nd | VascDz: | ||||
| Funding: | Private; Merck, Sharp and Dohme | Other: | Other: | |||||
| Comments: Trial also done in 4 healthy controls. | ||||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| L-Dopa 2 g/day × 7 days, Pyridoxine 150 mg/day, days 8–9 | none | N enrolled: | 5 | 5 | 0 | |
| N analyzed: | 5 | 5 | 0 | |||
| Drop-outs (%): | ||||||
| Follow-up duration: 2 days | Reasons for drop out: | |||||
| Comments: Metabolic study | ||||||
| Primary outcome(s): | Urinary excretion of Dopa and Dopa metabolites (Dopa, Dopamine, dihydroxyphenylacetic acid [DOPAC], Homovanillic acid [HVA]) |
| Secondary outcome(s): | Parkinsonian symptoms |
| Adverse events: | |
| Limitations: | Small sample size, short duration, clinical outcomes not measured in systematic fashion |
| Quality (A/B/C): C | Applicability (1/2/3): 3 |
| Outcome(s): | Results (Text) (or Definition) |
|---|---|
| 24 hr urinary excretion of Dopa and metabolites | Simultaneous administration of pyridoxine and L-Dopa significantly decreased urinary excretion of Dopa and increased excretion of Dopa metabolites (though dopamine was not significantly increased in 24 hour urine). |
| Parkinsonian symptoms | Deterioration of symptoms in 2 of 5 patients, manifested by increased tremor, which persisted for 24 hr after discontinuation of pyridoxine. |
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | |||
|---|---|---|---|---|---|---|---|---|
| Study design | RCT | Age: | 75 | 74 | Elevated plasma methyl malonic acid (P-MMA) | nd | AD: | |
| Country: | Denmark | %Male: | 33% | 35% | PD: | |||
| Setting: | University | Race: | Nd | nd | VascDz: | |||
| Funding: | Private and meds Industry | Other: CAMCOG | 89 | 89 | Other: | Cognitively impaired | ||
| Comments: The Cambridge Cognitive Examination (CAMCOG) assesses broad range of cognitive functions and contains 60 items and in Danish individuals mean score <90 is cognitively impaired | ||||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| Cynacobalamin 1 mg IM | Isotonic sodium chloride 1 ml | N enrolled: | 140 | 70 | 70 | |
| N analyzed: | 140 | 70 | 70 | |||
| Drop-outs (%): | 0% | |||||
| Follow-up duration: 4 wk treatment and 3 mo follow-up | Reasons for drop out: | |||||
| Comments: | ||||||
| Primary outcome(s): | The Cambridge Cognitive Examination (CAMCOG); Mini mental Status examination; 12 word learning test |
| Description of outcomes | MMSE a score below 25 indicates cognitive impairment; 12 word learning test is sensitive for short term memory |
| Secondary outcome(s): | Plasma tHcy |
| Adverse events: | nd |
| Limitations: | |
| Quality (A/B/C): A | Applicability (1/2/3): 2 |
P-MMA and P-tHcy measurement methods available
| Outcome(s): | Results (Text) (or Definition) |
|---|---|
| CAMCOG | (0–100) | |||||
|---|---|---|---|---|---|---|
| N | B 12 | 1 mg | N | 1 mg Isotonic sodium chloride | ||
| Baseline value | (SE/SD) | 70 | 89 | 70 | 89 | |
| Final value | (SE/SD) | 70 | 70 | |||
| Difference | (SD) | +1.3 | 4.8 | +1.9 | 4.3 | |
| PDifference | 0.04 | 0.001 | ||||
| Net Difference | (95% CI) | -0.6 | (-2.2, +0.9) | |||
| PNet difference | NS | |||||
| Outcome | MMSE | (0–100) | ||||
|---|---|---|---|---|---|---|
| N | B 12 | 1 mg | N | 1 mg Isotonic sodium chloride | ||
| Baseline value | (SE/SD) | 70 | 26 | 70 | 27 | |
| Final value | (SE/SD) | 70 | 70 | |||
| Difference | (SD) | +0.3 | 2.3 | 0.2 | 1.7 | |
| PDifference | NS | NS | ||||
| Net Difference | (95% CI) | +0.1 | -0.6; +0.8 | |||
| PNet difference | NS | |||||
| 12 word learning test, immediate | 0–12 | |||||
|---|---|---|---|---|---|---|
| N | B 12 | 1 mg | N | 1 mg Isotonic sodium chloride | ||
| Baseline value | (SE/SD) | 70 | 5 | 70 | 5 | |
| Final value | (SE/SD) | 70 | 70 | |||
| Difference | (SD) | +0.2 | 1.4 | +0.4 | 1.7 | |
| PDifference | NS | 0.04 | ||||
| Net Difference | (95% CI) | -0.2 | -0.7;+0.3 | |||
| PNet difference | NS | |||||
| 12 word learning test, 15 min | 0–12 | |||||
|---|---|---|---|---|---|---|
| N | B 12 | 1 mg | N | 1 mg Isotonic sodium chloride | ||
| Baseline value | (SE/SD) | 70 | 2 | 70 | 2 | |
| Final value | (SE/SD) | 70 | 70 | |||
| Difference | (SD) | +0.2 | 0.35 | +0.7 | 1.7 | |
| PDifference | NS | 0.001 | ||||
| Net Difference | (95% CI) | -0.5 | -1.1; -0.02 | |||
| PNet difference | 0.04 | |||||
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | ||
|---|---|---|---|---|---|---|---|
| Study design | Prospective longitudinal cohort | Age: | 71+/-13 | Alzheimer-type senile dementia or AD | History of serious diseases | AD: DSM III, NINCDS-ADRDA | |
| Country: | Japan | %Male: | 40% | PD: | |||
| Setting: | Unclear | Race: | Japanese | VascDz: | |||
| Funding: | nd | Other: | Other: | ||||
| Comments: | |||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| IV mecobalamin 500 μg 3x/week × 8 wk | None | N enrolled: | 10 | |||
| N analyzed: | 10 | |||||
| Drop-outs (%): | ||||||
| Follow-up duration: 12 wk | Reasons for drop out: | |||||
| Comments: | ||||||
| Primary outcome(s): | MMSE, Mattis' Dementia Rating Scale |
| Secondary outcome(s): | Other scales: Modified Gottfries-Brane-Steen scale (M-GBS), Hasegawa's Dementia Rating Scale (HDS), Hamilton Depression Scale, Subjective symptoms, Neurological symptoms, Activities of daily living, Caregiver evaluation, Overall evaluation |
| Adverse events: | No side effects were detected in the laboratory tests nor were there any patient complaints. |
| Limitations: | |
| Quality (A/B/C): C | Applicability (1/2/3): 1 |
| MMSE | (0–30) | Data Presented Graphically Only | ||||||
|---|---|---|---|---|---|---|---|---|
| N | IV Mecobalamin | 500 μ 3x/wk | N | N | N | Control | ||
| Baseline value | (SD, implied) | 10 | 20 | 7 | ||||
| Final value, 8 wk | (SD, implied) | 10 | 21 | 8 | ||||
| Post-Tx, 12 wk | (SD, implied) | 10 | 20 | 7 | ||||
| Difference | (SE/SD/95% CI) | |||||||
| PDifference | NS (all time points) | |||||||
| Mattis' DMR (Japanese Version), Total | (0–150) | Data Presented Graphically Only | ||||||
|---|---|---|---|---|---|---|---|---|
| N | IV Mecobalamin | 500 μg 3x/wk | N | N | N | Control | ||
| Baseline value | (SD, implied) | 10 | 112 | 25 | ||||
| Final value, 8 wk | (SD, implied) | 10 | 115 | 25 | ||||
| Post-Tx, 12 wk | (SD, implied) | 10 | 115 | 27 | ||||
| Difference | (SE/SD/95% CI) | |||||||
| PDifference | <0.05 (all time points) | |||||||
| Outcome(s): | Results (Text) (or Definition) |
|---|---|
| DMR, sub-scales | Significant increase in Memory (P<0.05) |
| No significant change in Attention, Intention & Perseveration, Construction, Conceptualization. | |
| Modified GBS | Significant improvements in Intellectual functions, Emotional functions, and Total (P<0.05). |
| No significant change in Initiatives, Different symptoms common in dementia, or Motor function. | |
| Hasegawa's Dementia Rating Scale (HDS) | Significant improvement in scale (P<0.05) |
| Subjective symptoms (insomnia) | Before treatment 6/10 complained of insomnia; all 6 had improvement in sleep. |
| Neurological symptoms | 6/10 had symptoms before treatment. Improvement was seen in 2 who had sensory disturbances. |
| The remaining 4 had no change. | |
| Activities of Daily Living | No significant changes were apparent with treatment. |
| Caregiver evaluation (list of items) | 3/10 improved, 5/10 slightly improved, 2/10 no change. None deteriorated. |
| Items that improved considerably after mecobalamin administration were talkativeness and ability to take initiative. | |
| Overall evaluation (not defined) | 3/10 moderately improved, 6/10 slightly improved, 1/10 no change. |
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | |||
|---|---|---|---|---|---|---|---|---|
| Study design | Longitudinal, non-randomized one-way partial crossover | Age: | 78.3 | Alzheimer-type dementia | Physical problems, medication | AD: | DSM IV NINCDS-ADRDA brain CT | |
| Country: | Japan | %Male: | 43% | PD: | ||||
| Setting: | nd | Race: | Japanese | VascDz: | ||||
| Funding: | nd | Other: | Other: | |||||
| Comments: Unclear how those getting Vit B12 were chosen. All received bright light × 4 wk, then half given B12 in addition to bright light. Analysis done on half at 4 wk and on other half with vit B12 + 8 wk bright light | ||||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| Bright light therapy × 8 wk + B12 1.5 mg/d (wk 5–6), B12 3.0 mg/d (wk 7–8) | Bright light therapy × 8 wk | N enrolled: | 28 | 14 | 14 | |
| N analyzed: | 28 | 14 | 14 | |||
| Drop-outs (%): | ||||||
| Follow-up duration: 4 wk on B12 | Reasons for drop out: No data reported on patients who were not treated with B12 | |||||
| Comments: | ||||||
| Primary outcome(s): | Clinical Dementia Rating (Hughes 1982; questionable 0.5 points, mild 1, moderate 2, severe 3) MMSE |
| Secondary outcome(s): | Sleep |
| Adverse events: | nd |
| Limitations: | Analyzed as an uncontrolled cohort |
| Quality (A/B/C): C | Applicability (1/2/3): 2 |
| MMSE | (0–30) | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| N | B12: All | 1.5–3 mg/d | N | B12: QMD** | 1.5–3 mg/d | N | B12: MSD** | 1.5–3 mg/d | N | Control | |||
| Baseline value | (SD) | nd | nd | ||||||||||
| Final value | (SD) | 14 | 10.4 | 7.6 | 14 | 10.1 | 7.3 | ||||||
| Difference | |||||||||||||
| PDifference of Final values | NS | NS | NS | ||||||||||
| Baseline value | (SD) | nd | nd | ||||||||||
| Final value | (SD) | 6 | 17.7 | 5.1 | 6 | 17.3 | 4.5 | ||||||
| Difference | |||||||||||||
| PDifference of Final values | NS | ||||||||||||
| Baseline value | (SD) | nd | nd | ||||||||||
| Final value | (SD) | 8 | 4.9 | 2.9 | 8 | 4.8 | 2.7 | ||||||
| Difference | |||||||||||||
| PDifference of Final values | NS | ||||||||||||
Week 4 of study, when B12 was started
Subsets: QMD: questionable (0.5 points) or mild (1 point) dementia; MSD: moderate (2 points) or severe (3 points) dementia.
| Outcome(s): | Results (Text) (or Definition) |
|---|---|
| Clinical Dementia rating | No change with treatment |
| Sleep | Significantly less sleep during the day. No difference in sleep at night. |
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | |||
|---|---|---|---|---|---|---|---|---|
| Study design | RCT | Age: | 76.6+/-6.8 | 77.4+/-6.4 | >60 yr and Serum B12 <120 pmol/L, vegetarians living at home or residence (majority of recruits) or non-vegetarians found to be B12 deficient as outpatient (minority of recruits). | Could not cooperate with neuropsychological tests because of severe confusion or communication problems; Hgb <9.0 g/dL, unstable medical condition, signs of combined degeneration of spinal cord | AD: | |
| Country: | Hong Kong | %Male: | 4% | 0% | PD: | |||
| Setting: | Outpatient | Race: | nd | nd | VascDz: | |||
| Funding: | nd | Baseline B12 (nmol/L): | 87.3+/-24.0 | 77.9+/-27.8 | Dementia: | MMSE<20 | ||
| Comments: randomization by HK ID card number (odd v even) | ||||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| Cobalamin 1 mg IM × 3 in wk 1, then 1 mg qWk × 3, then 1 mg qMo | No intervention | N enrolled: | nd | nd | nd | |
| N analyzed: | 50 | 23 | 27 | |||
| Drop-outs (%): | ||||||
| Follow-up duration: 3–6 months: B12 17.3+/-5.5 wk Control 16.1+/-3.2 wk | Reasons for drop out: | |||||
| Comments: Psychologists were blinded | ||||||
| Primary outcome(s): | Neuropsychological tests (including motor tests, not included here) |
| Secondary outcome(s): | |
| Adverse events: | nd |
| Limitations: | Insufficient data about tests. Mix of 2 different populations. |
| Quality (A/B/C): C | Applicability (1/2/3): 2 |
| Outcome(s): | Definition |
|---|---|
| MMSE | |
| Digit span | nd |
| WAIS-R | Defined as “similarities and block design subtests, and logical memory and visual reproduction subtests”. In Results, listed as Visual and Verbal memory, Verbal and Performance IQ. |
WAIS-R, Wechsler Adult Intelligence Scale-Revised
| Outcome | MMSE | (0–30) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| N | B12 | N | Control | ||||||
| Baseline value | (SD) | 27 | 22.2 | (4.7) | 23 | 23.8 | (4.7) | ||
| Final value | (SD) | 27 | 22.3 | (4.2) | 23 | 24.0 | (3.7) | ||
| Difference | |||||||||
| PDifference | NS | NS | |||||||
| Net Difference | |||||||||
| PNet difference | NS | ||||||||
| Outcome | Visual Memory | (nd) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| N | B12 | N | Control | ||||||
| Baseline value | (SD) | 27 | 12.7 | 9.0 | 23 | 15.3 | 15.0 | ||
| Final value | (SD) | 27 | 9.7 | 9.4 | 23 | 11.6 | 12.3 | ||
| Difference | |||||||||
| PDifference | NS | NS | |||||||
| Net Difference | |||||||||
| PNet difference | NS | ||||||||
| Outcome | Verbal Memory | (nd) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| N | B12 | N | Control | ||||||
| Baseline value | (SD) | 27 | 7.8 | 6.1 | 23 | 11.4 | 6.8 | ||
| Final value | (SD) | 27 | 6.7 | 5.9 | 23 | 9.3 | 6.2 | ||
| Difference | |||||||||
| PDifference | NS | <0.05 | |||||||
| Net Difference | |||||||||
| PNet difference | NS | ||||||||
| Outcome | Digit Span | (nd) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| N | B12 | N | Control | ||||||
| Baseline value | (SD) | 27 | 10.4 | 3.8 | 23 | 11.6 | 3.5 | ||
| Final value | (SD) | 27 | 10.7 | 3.6 | 23 | 10.6 | 2.9 | ||
| Difference | |||||||||
| PDifference | NS | NS | |||||||
| Net Difference | |||||||||
| PNet difference | NS | ||||||||
| Outcome | Verbal IQ | (nd) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| N | B12 | N | Control | ||||||
| Baseline value | (SD) | 27 | 58.2 | 7.1 | 23 | 60.1 | 7.1 | ||
| Final value | (SD) | 27 | 59.3 | 6.4 | 23 | 58.9 | 7.1 | ||
| Difference | |||||||||
| PDifference | NS | NS | |||||||
| Net Difference | |||||||||
| PNet difference | NS | ||||||||
| Outcome | Performance IQ | (nd) | |||||||
|---|---|---|---|---|---|---|---|---|---|
| N | B12 | N | Control | ||||||
| Baseline value | (SD) | 27 | 74.9* | 13.1 | 23 | 84.3 | 15.3 | ||
| Final value | (SD) | 27 | 80.7 | 12.0 | 23 | 85.8 | 16.7 | ||
| Difference | |||||||||
| PDifference | <0.005 | NS | |||||||
| Net Difference | |||||||||
| PNet difference | NS | ||||||||
Significant difference between intervention and control group at baseline.
When demented patients (n= 7 B12, 3 Control; Diagnosed by psychogeriatrician or MMSE<20), no difference in cognitive test results.
Among the 7 demented subjects who received cobalamin,
1 improved on the MMSE from 18 to 21, digit span, verbal memory, and performance IQ
1 improved on the MMSE from 19 to 24, verbal IQ, and performance IQ
1 improved on the MMSE from 5 to 9, and verbal memory
4 showed no “significant” improvement
None improved on visual memory test.
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | ||
|---|---|---|---|---|---|---|---|
| Study design | Prospective cohort | Age: | 72 (59–81) | Ambulatory, complaining of cognitive disturbances, MMSE 24–30, Serum Hcy >13.5nmol/L | Serum Cr >120 μmol/L, treatment with a cholinesterase inhibitor | AD: | |
| Country: | Sweden | %Male: | 57% | PD: | |||
| Setting: | Memory unit | Race: | nd | VascDz: | |||
| Funding: | Pharmaceutical | Other: | Other: | ||||
| Comments: | |||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| Vit B12 1 mg po BID Folate 5 mg po BID Pyridoxine 40 mg po BID | N enrolled: | 30 | 30 | 0 | ||
| N analyzed: | 30 | 30 | ||||
| Drop-outs (%): | ||||||
| Follow-up duration: Mean 270 (110–740) days | Reasons for drop out: | |||||
| Comments: | ||||||
| Primary outcome(s): | MMSE, CSF-tau |
| Secondary outcome(s): | CSF Albumin rati:, serum Hcy, B12, folate |
| Adverse events: | nd |
| Limitations: | |
| Quality (A/B/C): C | Applicability (1/2/3): 2 |
| Outcome(s): | Results (Text) (or Definition) |
|---|---|
| MMSE | |
| CSF-tau | sandwich ELISA with Innotest hTAU-Ag, measuring both normal and hyperphosphorylated tau |
| Outcome | MMSE | (0–30) | ||||||
|---|---|---|---|---|---|---|---|---|
| N | B6/B12/Folate | 2/10/80 mg | N | Control | ||||
| Baseline value | (SD) | 30 | 26.3 | (1.8) | ||||
| Final value | (SD) | 30 | 26.4 | (2.4) | ||||
| Difference | ||||||||
| PDifference | NS | |||||||
| Net Difference | (SE/SD/95% CI) | |||||||
| PNet difference | ||||||||
| Outcome | CSF-tau | pg/mL | ||||||
|---|---|---|---|---|---|---|---|---|
| N | B6/B12/Folate | 2/10/80 mg | N | Control | ||||
| Baseline value | (SD) | 30 | 529 | (242) | ||||
| Final value | (SD) | 30 | 490 | (240) | ||||
| Difference | ||||||||
| PDifference | NS | |||||||
| Net Difference | (SE/SD/95% CI) | |||||||
| PNet difference | ||||||||
At baseline CSF-tau was “considerably increased” compared to a non-cognitively impaired control group (222+/-92 pg/mL, n=35).
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | ||
|---|---|---|---|---|---|---|---|
| Study design | Cohort | Age: | 79 | Consecutive enrollment of cognitive impaired, serum cobalamin < 150 pmol/L | ND | AD: | |
| Country: | USA | %Male: | 22 | PD: | |||
| Setting: | Outpatient geriatric centers, inpt geropsychiatry unit, tertiary care university hospital | Race: | ND | VascDz: | |||
| Funding: | Government | Other: | Other: | ||||
| Comments: | |||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| 1000 mcg cyanocobalamin intramuscular 1 at day for 1 wk, weekly for 1 mo, monthly ≥ 6 mo | N enrolled: | 22 | ||||
| N analyzed: | 18 | |||||
| Drop-outs (%): | 4 | |||||
| Follow-up duration: Reasons for drop out: | Died (2), unable to test due to: dementia (1), deafness (1) | |||||
| Comments: Potential confounders: 3 Pts w/concomitant low serum folate also received oral folate replacement 1 mg @ day, 1 pt on tricyclic antidepressant at start of study, 4 pts on tricyclic antidepressant but was not new change in regimen | ||||||
| Primary outcome(s): | Changes in DRS scores pre vs post therapy |
| Secondary outcome(s): | Comparison of DRS scores by short vs long pretreatment symptom duration |
| Adverse events: | nd |
| Limitations: | |
| Quality (A/B/C): C | Applicability (1/2/3): 1 |
| Outcome(s): | Definition |
|---|---|
| Mattis DRS | Mattis Dementia Rating Scale. Used to evaluate pre & post therapy(≥ 6 mo), pts referred by primary physicians. DRS is 144 point mental status test with following criteria: mild impaired - 120–134, moderately impaired 90–119, severely impaired ≤ 90 |
| Outcome(s): | Results |
|---|---|
| DRS scores | 11/18 improved (61%) |
| Outcome | DRS | Short duration symptoms | Long duration symptoms | ||||
|---|---|---|---|---|---|---|---|
| N | Cobalamin | 1000 mcg | N | Cobalamin | 1000 mcg | ||
| Baseline value | (SD) | 5 | 108 (10) | 13 | 108 (19) | ||
| Final value | (SD) | 128 (13) | 105 (22) | ||||
| Difference | (SE/SD/95% CI) | P = .0076 | P = 0.34 | ||||
| PDifference | |||||||
| Net Difference | (SE/SD/95% CI) | ||||||
| PNet difference | |||||||
| (RR/OR/HR) | 95% CI | ||||||
| P(RR/OR/HR) | |||||||
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | |||
|---|---|---|---|---|---|---|---|---|
| Study design | Cohort (design unclear) | Age: | nd | Parkinsonian patients | AD: | |||
| Country: | Canada | %Male: | nd | PD: | nd | |||
| Setting: | Clinic | Race: | nd | VascDz: | ||||
| Funding: | nd | Other: | Other: | |||||
| Comments: | ||||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| Folic acid 15 mg qD | N enrolled: | nd | ||||
| N analyzed: | 18 | 18 | ||||
| Drop-outs (%): | ||||||
| Follow-up duration: Mean 45 (14–182) | Reasons for drop out: | |||||
| Comments: | ||||||
| Primary outcome(s): | Therapeutic benefit |
| Secondary outcome(s): | |
| Adverse events: | “Only 3 patients reported any adverse effects. One experienced a buzzing in the ears, another a jittery feeling, and a third sleeplessness.” No mental changes, weight loss, or gastrointestinal symptoms. |
| Limitations: | |
| Quality (A/B/C): C | Applicability (1/2/3): 2 |
| Outcome(s): | Results (Text) (or Definition) |
|---|---|
| Therapeutic benefit | 6: No therapeutic benefit |
| 11: A slight subjective benefit (without appreciable objective change) | |
| 1: Worsening of gait. | |
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| Thiamine 3 g/d | Placebo | N enrolled: | 18 | 18 | 18 | |
| N analyzed: | 13–17 | 13–17 | ||||
| Drop-outs (%): | ||||||
| Follow-up duration: 1 mo | Reasons for drop out: ND | |||||
| Comments: | ||||||
| Primary outcome(s): | Mean Alzheimer's Disease Assessment scale score;; Mini-mental status exam |
| Secondary outcome(s): | Single fiber EMG; The Clinical Global Impression of change (Physician rating of change from baseline) |
| Adverse events: | No adverse effects were noted |
| Limitations: | Small N, Poor reporting |
| Quality (A/B/C): C | Applicability (1/2/3): 2 |
| ADAS | 0–120 (higher score = poorer performance) | ||||||
|---|---|---|---|---|---|---|---|
| N | Thiamine | 3g/d | N | Placebo | |||
| Baseline value | (SD) | 17 | 36 | 25 | 17 | 36 | 25 |
| Final value | (SD) | 17 | 41 | 27 | 17 | 44 | 28 |
| Difference | (SE/SD/95% CI) | +2.1* | +6.7 | ||||
| PDifference | nd | nd | |||||
| Net Difference | (SE/SD/95% CI) | ||||||
| PNet difference | nd | ||||||
These numbers are from text. Unclear why they do not correspond to reported data.
| MMSE | 0–30 | ||||||
|---|---|---|---|---|---|---|---|
| N | Thiamine | 3 g/d | N | Control | |||
| Baseline value | (SD) | 17 | 18 | 7 | 17 | 18 | 7 |
| Final value | (SD) | 17 | 18 | 7 | 17 | 17 | 7 |
| Difference | (SE/SD/95% CI) | 0 | -1 | ||||
| PDifference | NS | ND | |||||
| Net Difference | (SE/SD/95% CI) | +1 | |||||
| PNet difference | nd | ||||||
Text:
ADAS scores better in thiamine period than control in 13/17 subjects (P=0.02)
ADAS on thiamine worse than baseline in 9/16 (NS)
ADAS on placebo worse than baseline in 12/16 (P=0.04)
Implicitly 1 patient each scored the same as at baseline during different periods.
MMSE scores were better in thiamine period than control in 6/8 (NS)
MMSE on thiamine worse than baseline in 9/13 (NS)
MMSE on placebo worse than baseline in 11/14 (P=0.03)
Implicitly 9 patients scored the same in both periods and 4 on thiamine and 3 on placebo scored the same as at baseline during different periods.
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| Thiamine, 4–6 g | Placebo | N enrolled: | 17 | 17 | 17 | |
| N analyzed: | 14–17* | 13–15 | ||||
| Drop-outs (%): | ||||||
| Follow-up duration: 1 mo each at 4, 5, 6 g, and placebo | Reasons for drop out: nd | |||||
| Comments: | ||||||
Subsequent phases of trial included 2–13 subjects at “best dose” and between 6.5–8 g
| Primary outcome(s): | Mean Alzheimer's Disease Assessment scale score;; Mini-mental status exam |
| Secondary outcome(s): | Single fiber EMG; The Clinical Global Impression of change (Physician rating of change from baseline) |
| Adverse events: | All tolerated doses up to 6 g/day well without any side effects. 2 (of 7) subjects reported nausea and indigestion at doses of 7.0 and 7.5 g/day but subsequently tolerated the same dosages in later months. |
| Limitations: | |
| Quality (A/B/C): C | Applicability (1/2/3): 2 |
| ADAS | 0–120 | Month 2 | Month 4 | |||
|---|---|---|---|---|---|---|
| N | Thiamine | 5 g | N | Placebo | ||
| Baseline value* | 16 | 27.2 | 13 | 26.2 | ||
| Final value | 16 | 23.7 | 13 | 24.1 | ||
| Difference | ||||||
| PDifference | P≤0.055 | NS | ||||
| ADAS | 0–120 | Month 3 | Month 4 | |||
|---|---|---|---|---|---|---|
| N | Thiamine | 6 g | N | Placebo | ||
| Baseline value* | 16 | 26.6 | 13 | 26.2 | ||
| Final value | 16 | 24.3 | 13 | 24.1 | ||
| Difference | ||||||
| PDifference | NS | NS | ||||
Baseline means for subjects analyzed in each group.
| MMSE | 0–30 | Month 1 | Month 4 | |||
|---|---|---|---|---|---|---|
| N | Thiamine | 4 g | N | Placebo | ||
| Baseline value* | 17 | 21.2 | 15 | 21.5 | ||
| Final value | 17 | 21.7 | 15 | 21.9 | ||
| Difference | ||||||
| PDifference | NS | NS | ||||
| MMSE | 0–30 | Month 2 | Month 4 | |||
|---|---|---|---|---|---|---|
| N | Thiamine | 5 g | N | Placebo | ||
| Baseline value* | 17 | 21.2 | 15 | 21.5 | ||
| Final value | 17 | 21.8 | 15 | 21.9 | ||
| Difference | ||||||
| PDifference | NS | NS | ||||
| MMSE | 0–30 | Month 3 | Month 4 | |||
|---|---|---|---|---|---|---|
| N | Thiamine | 6 g | N | Placebo | ||
| Baseline value* | 15 | 21.2 | 15 | 21.5 | ||
| Final value | 15 | 21.7 | 15 | 21.9 | ||
| Difference | ||||||
| PDifference | NS | NS | ||||
Baseline means for subjects analyzed in each group.
Text:
In a month of best dose (month 5) ADAS and MMSE, difference compared to baseline was non-significant (n=13 & 15, respectively).
In months at 6.5 and 7 g/day (months 6,7) ADAS significantly better compared to baseline (P≤0.015 & P≤0.002, respectively; n=6).
In months with dose varying from 6.5–8 g/day (months 8, 9, 11, 13) ADAS no different than baseline (n=2–6).
MMSE were unchanged throughout the remainder of the study in 2–7 subjects.
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | ||||
|---|---|---|---|---|---|---|---|---|---|
| Study design | Open non-comparative trial | Age: | 71.8±6.3 | All outpatients who met the DSM-III/R criteria for dementia and the National Institute of Neurological and Communicative Disorders and Stroke-Alzheimer's Disease and Related Disorders Association (NINCDS-ADRDA) | ND | AD: | Same as inclusion criteria | ||
| Country: | Japan | %Male: | 44% | PD: | NA | ||||
| Setting: | University hospital | Race: | 100% Asian | VascDz: | NA | ||||
| Funding: | Private | Other: | Mean duration of illness: 2.3±1.4 yr | Other: | NA | ||||
| Comments: Fursultiamine (thiamine tetrahydrofurfuryl disulfide hydrochloride (TTFD) a derivative of thiamine which is easily converted into the active form of thiamine in the body | |||||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| Fursultiamine 100 mg/d in 2 divided doses | NA | N enrolled: | 9 | 8 | NA | NA |
| N analyzed: | 9 | 9 | ||||
| Drop-outs (%): | 11% (1/9) | |||||
| Follow-up duration: 12 wk | Reasons for drop out: Family commitments | |||||
| Comments: 1 patient that did not complete the study was included in the analysis Thiamine measured using HPLC method | ||||||
| Primary outcome(s): | Hasegawa Dementia Scale (HDS) | Total score 32.5 (higher score indicates better performance). Widely used in as screening tests of cognitive function in Japan along with MMSE |
| Primary outcome(s): | Mini-Mental State Examination (MMSE) | Total score 30 (higher score indicates better performance) |
| Primary outcome(s): | Rating scale by Gottfries (Modified GBS) | Total score 228 (lower score indicates better function) Assesses intellectual function, spontaneity, emotional function, motor function, and other symptoms of dementia |
| Secondary outcome(s): | Blood level of thiamine | |
| Adverse events: | All patients tolerated the drug and dosages well | |
| Limitations: | Small sample size | |
| Quality (A/B/C): C | Applicability (1/2/3): 1 | |
| Outcome(s): | Results (Text) (or Definition) |
|---|---|
| Blood level of thiamine | Baseline Mean blood level of thiamine: 32.5±11.3 (19.5 to 49.3 ng/mL and within normal limits. Among patients with relatively low thiamine levels 1 patient showed some improvement and 1 did not. Blood thiamine levels increased markedly after TTFD administration (257.4±99.4 ng/mL) |
| HDS | Hasegawa Dementia Scale | 0–32.5 | ||
|---|---|---|---|---|
| N | Fursultiamine | 100 mg/d in 2 divided doses | ||
| Baseline value | (SD) | 9 | 17.0 | (9.7) |
| Final value | (SD) | 9 | 17.6 | (10.4) |
| Difference | (SD) | 0.6 | (0.7) | |
| PDifference | NS | |||
| Net Difference | (SE/SD/95% CI) | |||
| PNet difference | ||||
| (RR/OR/HR) | 95% CI | |||
| P(RR/OR/HR) | ||||
| MMSE | Mini-Mental State Exam | 0–30 | ||
|---|---|---|---|---|
| N | Fursultiamine | 100 mg/d in 2 divided doses | ||
| Baseline value | (SD) | 9 | 17.2 | (7.0) |
| Final value | (SD) | 9 | 19.4 | (9.0) |
| Difference | (SD) | 2.2 | (2.0) | |
| PDifference | <0.05 | |||
| Net Difference | (SE/SD/95% CI) | |||
| PNet difference | ||||
| (RR/OR/HR) | 95% CI | |||
| P(RR/OR/HR) | ||||
| Total GBS | Gottfries (Modified GBS) | 0–228 | ||
|---|---|---|---|---|
| N | Fursultiamine | 100 mg/d in 2 divided doses | ||
| Baseline value | (SD) | 9 | 59.8 | (38.5) |
| Final value | (SD) | 9 | 52.4 | (41.8) |
| Difference | (SD) | -7.4 | (3.3) | |
| PDifference | <0.1(NS) | |||
| Net Difference | (SE/SD/95% CI) | |||
| PNet difference | ||||
| (RR/OR/HR) | 95% CI | |||
| P(RR/OR/HR) | ||||
| Study characteristics | Population | Controls | Inclusion criteria | Exclusion criteria | Definitions | |||
|---|---|---|---|---|---|---|---|---|
| Study design | Non comparative open trial and correlational study | Age: | 53±3.1 (34–77) | Subjects who fulfilled the clinical criteria of dementia. Confirmed in all patients by the finding of cerebral atrophy and widening of the ventricles on the CT scan. | Any disorder known to affect vit B12 metabolism, such as acute physical disease, malnutrition, severe anemia, and myeloproliferative disorders and abnormal kidney and liver disorders | AD: | Same as inclusion criteria | |
| Country: | Japan | %Male: | 64% | PD: | NA | |||
| Setting: | Academic hospital | Race: | 100% Asian | VascDz: | NA | |||
| Funding: | ND | Other: | Other: | Pick's disease | ||||
| Comments: 4 patients were mildly demented; 7 moderately demented; 3 patients were severely demented | ||||||||
| Intervention(s): | Control: | Total | Intervention 1 | Intervention 2 | Control | |
| Vit B12 2mg/d for 60d | None | N enrolled: | 14 | 5 | 9 | |
| Vit B12 2 mg/d PO and 500μg/d IM | N analyzed: | 14 | 5 | 9 | ||
| Drop-outs (%): | 0 | |||||
| Follow-up duration: 60 days | Reasons for drop out: NA | |||||
| Comments: Sr and CSF B12 assessed by radioassay r | ||||||