Format

Send to

Choose Destination
Alzheimers Dement. 2014 Nov;10(6):799-807.e2. doi: 10.1016/j.jalz.2014.05.1749. Epub 2014 Jul 8.

Plasma proteins predict conversion to dementia from prodromal disease.

Author information

1
Institute of Psychiatry, Department of Old Age Psychiatry, King's College London, London, UK.
2
Institute of Psychiatry, Department of Old Age Psychiatry, King's College London, London, UK; Department of Neurobiology Care Sciences and Society, Karolinska Institutet, Stockholm, Sweden.
3
Institute of Psychiatry, Department of Old Age Psychiatry, King's College London, London, UK; Department of Neuroimaging Genetics, QIMR Berghofer Medical Research Institute, Brisbane, Australia.
4
University of Exeter Medical School, Exeter University, Exeter, UK.
5
Proteome Sciences plc, Research & Development, Proteome Sciences plc, Cobham, UK.
6
Protein Analysis and Detection, EMD Millipore Corporation, St. Charles, MO, USA.
7
Neurosciences Therapy Area Unit, GlaxoSmithKline Medicines Research Centre, Hertfordshire, UK.
8
Departments of Neurology & Neurosurgery, Psychiatry, Medicine, McGill Centre for Studies in Aging, Verdun, Canada; on behalf of GenADA consortium.
9
Department of Neurology, University of Eastern Finland and Kuopio University Hospital, Kuopio, Finland.
10
Department of Old Age Psychiatry and Psychotic disorders, Medical University of Lodz, Lodz, Poland.
11
Institute of Gerontology and Geriatrics, University of Perugia, Perugia, Italy.
12
3rd Department of Neurology, Aristotle University, Thessaloniki, Greece.
13
Department of Internal Medicine and Geriatric Medicine, INSERM U 558, University of Toulouse, Toulouse, France.
14
Institute of Psychiatry, Department of Old Age Psychiatry, King's College London, London, UK; Department of Psychiatry, University of Oxford, Oxford, UK; on behalf of AddNeuroMed consortium. Electronic address: simon.lovestone@psych.ox.ac.uk.

Abstract

BACKGROUND:

The study aimed to validate previously discovered plasma biomarkers associated with AD, using a design based on imaging measures as surrogate for disease severity and assess their prognostic value in predicting conversion to dementia.

METHODS:

Three multicenter cohorts of cognitively healthy elderly, mild cognitive impairment (MCI), and AD participants with standardized clinical assessments and structural neuroimaging measures were used. Twenty-six candidate proteins were quantified in 1148 subjects using multiplex (xMAP) assays.

RESULTS:

Sixteen proteins correlated with disease severity and cognitive decline. Strongest associations were in the MCI group with a panel of 10 proteins predicting progression to AD (accuracy 87%, sensitivity 85%, and specificity 88%).

CONCLUSIONS:

We have identified 10 plasma proteins strongly associated with disease severity and disease progression. Such markers may be useful for patient selection for clinical trials and assessment of patients with predisease subjective memory complaints.

KEYWORDS:

Alzheimer's disease; Biomarker; Mild cognitive impairment; Pathology; Plasma; Prediction and magnetic resonance imaging

PMID:
25012867
PMCID:
PMC4240530
DOI:
10.1016/j.jalz.2014.05.1749
[Indexed for MEDLINE]
Free PMC Article

Supplemental Content

Full text links

Icon for Elsevier Science Icon for PubMed Central
Loading ...
Support Center