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Progression of amyloid pathology to Alzheimer's pathology in an APP transgenic mouse model by removal of NOS2 1 Duke University Medical Center, Division of Neurology, Durham, NC 27710, USA. 2 Department of Medicine, Stony Brook University, Stony Brook, NY 11794, USA. * To whom correspondence should be addressed: Duke University Medical Center, Division of Neurology, Bryan Research Bldg, Box 2900, Research Dr, Durham, NC 27710, USA. E-mail: glia01/at/aol.com The publisher's final edited version of this article is available free at J Neurosci. See other articles in PMC that cite the published article.Abstract Alzheimer's disease (AD) is characterized by three primary pathologies in the brain; amyloid plaques, neurofibrillary tangles and neuron loss. Mouse models have been useful for studying components of AD but are limited in their ability to fully recapitulate all pathologies. We crossed the APPSwDI transgenic mouse, which develops amyloid ß-(Aß) protein deposits only, with a NOS2 knockout mouse, which develops no AD-like pathology. APPSwDI/NOS2−/− mice displayed impaired spatial memory compared to the APPSwDI mice, yet have the unaltered levels of Aß. APPSwDI mice do not show tau pathology while APPSwDI/NOS2−/− mice displayed extensive tau pathology associated with regions of dense microvascular amyloid deposition. Also, APPSwDI mice do not have any neuron loss while the APPSwDI/NOS2−/− mice have significant neuron loss in the hippocampus and subiculum. Neuropeptide Y neurons have been shown to be particularly vulnerable in AD. These neurons appear to be particularly vulnerable in the APPSwDI/NOS2−/− mice as we observe a dramatic reduction in the number of NPY neurons in the hippocampus and subiculum. These data show that removal of NOS2 from an APP transgenic mouse results in development of full AD-like pathology and behavioral impairments. Keywords: amyloid, tau, neuodegeneration, neuropeptide Y, Cerebral amyloid angiopathy Introduction Three pathologies must be present in the brain for a definitive diagnosis of Alzheimer's disease (AD): Amyloid plaques composed of aggregates of Aß peptides, neurofibrillary tangles composed of hyperphosphorylated, aggregated tau, and neuron loss (Nagy et al., 1998). The amyloid hypothesis proposes that ß-amyloid accumulation is toxic to the brain resulting in hyperphosphorylation of tau, neuronal death and cognitive deficits (Hardy and Selkoe, 2002). Transgenic mouse models expressing mutant human APP successfully produce amyloid plaques and some cognitive decline, but lack significant neuron loss and any tau pathology (Hsiao, 1998;Hsiao et al., 1996;Games et al., 1995;Schwab et al., 2004;Eriksen and Janus, 2007). Transgenic mouse models expressing human tau with mutations associated with frontotemporal dementia display tau pathology, but they fail to show amyloid deposition (Santacruz et al., 2005;Lewis et al., 2000). Transgenic mice expressing mutant human APP and TAU genes have recently been developed that display amyloid plaques and tau aggregates (Oddo et al., 2003). We recently reported that Tg2576 APP transgenic mice crossed to a nitric oxide synthase 2 (NOS2) knockout (NOS2−/−) develop neurofibrillary tangle-like pathology from endogenous mouse tau and show evidence of neurodegeneration assessed by staining for fluoro-jade C and activated caspase 3(Colton et al., 2006). In AD there are specific neuronal subsets that appear more susceptible to the disease and are affected more severely than others. These include the cholinergic neurons and the neuropeptide Y (NPY) neurons. Neuropeptide Y (NPY) is a 36 amino acid peptide that acts as a neurotransmitter and has been localized to the central nervous system and in peripheral nervous tissue (Dumont et al., 1992). NPY expression is particularly high in the interneurons of the dentate gyrus and CA3 (Kohler et al., 1986) as well as the Mossy fiber pathway linking these two regions. Importantly, significant reductions in NPY neurons in the hippocampal regions of AD brains have been demonstrated (Kowall and Beal, 1988). APP transgenic mice have failed to demonstrate significant loss of NPY neurons , in fact, increased NPY immunoreactivity has been observed in both the PDAPP mice (Diez et al., 2000) and the APP23 mice (Diez et al., 2003). The NOS2 gene encodes inducible NOS (iNOS) , one of three isoforms of NOS that generate nitric oxide (NO), and is primarily associated with the innate immune response in all tissues (Kroncke et al., 2000). While NO is commonly considered a “cytotoxic” molecule, which is its function during acute disease, NO is also pro-growth and anti-apoptotic (Brune, 2005;Bayir et al., 2005;Hewett et al., 2005;Thomas et al., 2004;Kroncke et al., 2001). This apparent dichotomy of NO's functions, relates to an integration of its tissue concentration , its levels of production, and the wide variety of targets for NO and its metabolites (Wink et al., 2001). Here we show that the APPSwDI transgenic mouse crossed to a NOS2−/− mouse develops further cognitive decline in behavioral tests despite unaltering levels of Aß, has significant neuron loss in disease-relevant regions and a particularly dramatic loss of NPY neurons, in association with significant tau pathology. Experimental Procedures Mouse strains A bigenic mouse was produced by crossing APPSwDI (Swedish K760N/M671L, Dutch E693Q and Iowa D694N) transgenic mice with NOS2−/− (B6 129P2NOS2tau1Lau/J) mice (Jackson Laboratory, Bar Harbor, ME). The phenotype of these individual mice has previously been reported (Davis et al., 2004) (Laubach et al., 1995). All mice were genotyped by using standard PCR methods. APPSwDI transgenic mice were also bred to generate age matched controls. For stereological counts we also used age-matched wildtype and NOS2−/− mice. Behavioral analyses APPSwDI (n=9) and APPSwDI/NOS2−/− (n=29) mice were tested at 52−56 weeks using both the two-day radial-arm water maze (Alamed et al., 2006) and the Barnes maze (Xu et al., 2007). The two-day radial-arm water maze has been described in detail previously (Alamed et al., 2006). Briefly, a six arm maze is submerged in a pool of water and a platform is placed at the end of one arm. The mouse receives 15 trials per day for two days and on each trial is started in a different arm while the arm containing the platform remains the same for each mouse. Using visual cues around the room the mouse learns the position of the escape platform. The first 10 trials are considered training and alternate between a visible and a hidden platform. The final trials for day 1 and all trials on day 2 use a hidden platform. The number of errors (incorrect arm entries) are counted over a one minute period. The errors are averaged over three trials resulting in 10 blocks for the two-day period. The Barnes maze has also been described previously (Barnes, 1979) (Xu et al., 2007). Briefly, this task was performed over a 5-day period and used a circular table with eight equidistant holes around the perimeter. An escape box was placed under an escape hole, the location of which remained constant over the five days for each mouse. Mice were tested twice daily for five days. The number of nose pokes into incorrect holes was counted on each trial. The two trials on each day were averaged to provide one value per day. All behavioral tests were performed with genotypes blinded to the investigator. Tissue processing and histological methods Mice were injected with a lethal dose of ketamine and perfused intracardially with 25ml normal saline. Brains were rapidly removed and bisected in the mid-sagittal plane. One half was immersion fixed in either 70% ethanol (APPSwDI n=4 and APPSwDI/NOS2−/− n=4) or 4% paraformaldehyde (APPSwDI n=4 and APPSwDI/NOS2−/− n=8). One half was snap frozen in liquid nitrogen and stored at −80°C. The hemibrains fixed in 70% ethanol were embedded in paraffin and 8μm sections were cut using a microtome. The hemibrains fixed in 4% paraformaldehyde were incubated for 24h in 10, 20 and 30% sucrose sequentially to cryoprotect them. 25μm frozen sagittal sections were then collected using a sliding microtome and were stored at 4°C in PBS with sodium azide to prevent microbial growth. Eight equally spaced sections approximately 600μm apart were selected for free floating immunohistochemistry for neuN (Mouse monoclonal, Chemicon, Temecula, CA. 1:3000), NPY (rabbit polyclonal, Chemicon, Temecula, CA. 1:30,000), PHF-tau (AT8, a mouse monoclonal for PHF-tau recognizing phosphorylated Ser202 in tau, Pierce Endogen, Rockford, IL. 1:150), total tau (tau-5, mouse monoclonal anti-tau 5, Calbiochem, San Diego, CA. 1:1000), cleaved caspase-3 (rabbit polyclonal, Cell Signaling Technology, Beverley, MA. 1:300) or CD45 (rat monoclonal, AbD Serotec, Raleigh, NC). The method for free-floating immunohistochemistry has been described previously (Wilcock et al., 2004a). Also, eight equally spaced sections were mounted on slides and stained with 1% thioflavine-S, 0.0001% Fluoro-Jade C in 0.1% acetic acid or TUNEL (using Dead-End Colorimetric TUNEL System, Promega, Madison, WI. Stained according to manufacturer's instructions). Four equally spaced sections spaced approximately 1.2mm apart were taken from three mice of each genotype and mounted on slides. Double-immunofluorescence was performed for neuron specific ß-tubulin (rabbit polyclonal, Abcam, Cambridge, MA. 1:1000) and AT8. Appropriate alexa-fluor conjugated secondary antibodies were used. Aß immunohistochemistry was performed on 70% ethanol fixed 8μm paraffin-embedded sections. Briefly, sections were de-paraffined in xylene and rehydrated. Following incubations in hydrogen peroxide and detergent, sections were incubated overnight at 4°C with primary antibody (rabbit polyclonal anti-Aß N terminal, Biosource, Camarillo, CA. 1:3000). The sections were then incubated with biotinylated anti-rabbit secondary antibody (Vector Laboratories, Burlingame, CA. 1:3000) for two hours at room temperature followed by incubation in streptavidin ABC (Vectastain elite ABC kit, Vector Laboratories, Burlingame, CA). The peroxidase was developed using a DAB substrate kit (Vector Laboratories, Burlingame, CA). Quantification Per-cent immunoreactive area: Images of the immunohistochemical stain were collected using the 20X objective lens on the Nikon Eclipse TE200 microscope with a Nikon DXM1200 digital camera attached. Images from the frontal cortex, CA1, CA3, dentate gyrus, subiculum and thalamus were collected from each section. An average of 4−5 sections for each animal were analyzed. Using the Image-Pro Plus software we identified the positive stain on 2−3 representative images and the red, green and blue values were saved to a file. This file was then applied to all images to yield measurements of percent area occupied with positive stain and average intensity of the positive stain for every image. Anatomical landmarks on the sections were used to ensure that the same region was assesed for each section examined. Images for each marker were also collected on the same day to ensure the same illumination on every image. The data were then exported to an Excel spreadsheet where statistical analysis was performed. Stereological analysis Neurons that were immunopositive for neuN or NPY were counted in the hippocampus, the cornu ammonis 3 (CA3) and the subiculum using the optical fractionator method of stereological counting (West et al., 1991) with commercially available stereological software (StereoInvestigator, MBF Bioscience, Williston, VT). A systematic random sampling of sections throughout the left hippocampus were stained as described above and coded to ensure blinding. The regions of interests (ROI) were defined using specific landmarks within the hippocampus to maintain consistency. A grid was placed randomly over the region of interest slated for counting. At regularly predetermined positions of the grid, cells were counted within three-dimensional optical dissectors. Within each dissector, a 1μm guard distance from the top and bottom of the section surface was excluded. Section thickness was measured regularly on all collected sections to estimate the mean section thickness for each animal after tissue processing and averaged 12.34μm ± 0.32μm for all sections analyzed. The total number of neurons was calculated using the equation: Aß ELISA Soluble and insoluble pools of Aß1−40 and Aß1−42 were measured by sandwich ELISA as previously described (Miao et al., 2005). Briefly, frozen hemibrains were pulverized using a mortar and pestle on dry ice. Samples were homogenized using carbonate for the soluble Aß pool. This sample was centrifuged at high speed and the supernatant removed. The pellet left over was then homogenized with guanidine for the insoluble Aß pool. Again, this sample was centrifuged at high spped and the supernatant extracted. Total Aß1−40 and 1−42 levels were obtained by adding the values of the soluble and insoluble levels. Western blotting Protein was extracted from pulverized brain powder and quantified using the BCA protein assay kit (Pierce Biotechnology Inc. Rockford, IL. Performed according to manufacturer's instructions). 10μg protein samples from each brain lysate were run on a denaturing 4−20% SDS-PAGE gel. The gel was then transferred onto a nitrocellulose membrane. The transferred membrane was then blocked in 5% non-fat milk and incubated overnight at 4°C in AT8 anti-PHF tau antibody (1:150) diluted in 5% non-fat milk. The following day the membrane was washed in TBST (tris buffered saline with 1% tween-20) and incubated for one hour in HRP conjugated anti-mouse secondary antibody (1:2000) dissolved in 5% non-fat milk. The membrane was then washed in TBST and developed using the ECL advance western blotting detection kit (GE Healthcare, Buckinghamshire, UK). Autoradiography film was exposed to the blot and developed. The blot was stripped using Restore stripping buffer (Pierce Biotechnology Inc, Rockford, IL). It was then reprobed using the above protocol for GAPDH (mouse anti-GAPDH, Advanced ImmunoChemical Inc, Long Beach CA. 1:10,000) to ensure accurate gel loading. Western blot images were captured using the Kodak Image Station 440 (Carestream Health Inc, Rochester, NY) and densitometry analysis was performed using the Kodak Molecular Imaging software (Carestream Health Inc, Rochester, NY). Statistics The significance of behavioral changes over time was analyzed by one-way analysis of variance (ANOVA). Significance of genotype-specific changes was analyzed by the unpaired Student's t test or two-way ANOVA. The slope of the relationship between number of errors and time was measured using regression analysis and compared across genotypes using two-way ANOVA. All immunohistochemical, stereological, ELISA and western blot data was analyzed by one-way ANOVA. The GraphPad Prism 4 program (GraphPad, San Diego, CA) was used to perform all statistical analyses. Results APPSwDI and APPSwDI/NOS2−/− mice were tested for spatial memory at 52−56 weeks of age using two different behavioral assays that have been previously shown to detect spatial learning and memory deficits in APP transgenic mice (Wilcock et al., 2004b). Figure 1A
In AD, tau becomes hyperphosphorylated and resdistributed where it aggregates to form neurofibrillary tangles in the neuronal soma. We exmained APPSwDI and APPSwDI/NOS2−/− mice for presence of abnormally phosphorylated tau using the AT8 antibody. AT8 is a well-recognized antibody used to detect a pathologically relevant hyperphosphorylated tau epitope that is common to both mouse and human tau (Iqbal and Grundke-Iqbal, 1997). Protein extracted from the right hemisphere of NOS2−/− (N2), APPSwDI (A), APPSwDI/NOS2−/− (AN2) mice was examined by western blot. Included in the western blot was protein from JNPL3 transgenic mice that carry mutant human tau and are known to have extensive tau pathology (Fig 2A
Aß immunohistochemistry showed dense hippocampal staining in the APPSwDI (Fig. 3A
To further distinguish patterns of tau staining we used the tau 5 antibody that detects total tau levels in mice. Staining for total tau showed a light, diffuse staining pattern in the APPSwDI mouse (Fig. 4A
The consensus in the field is that tau pathology most closely correlates with disease severity (Arriagada et al., 1992) so therefore we examined the brains in APPSwDI/NOS2−/− mice for evidence of neurodegeneration. Fluoro-jade C stains degenerating neurons regardless of the cause of damage (Schmued et al., 2005). We observed numerous fluoro-jade C positive neurons in the APPSwDI/NOS2−/− mice (Fig. 4J We then examined neuronal integrity in hippocampal regions. Immunostaining for the neuronal marker, NeuN, on equally spaced sagittal sections revealed thinning of the CA3 (Fig. 5B and D
In AD it is known that certain subpopulations of neurons are particularly vulnerable to the disease process. We examined neuropeptide Y (NPY) neurons as one of these subpopulations. Due to the large microvascular involvement in the pathology of APPSwDI and the APPSwDI/NOS2−/− mice brains we elected to examine NPY neurons as these are known to be intimately involved in maintaining cerebrovascular tone at the neurovascular unit (Edvinsson et al., 1987). In the wild type, NOS2−/− and the APPSwDI mice we found strong NPY immunoreactivity of the Mossy fiber tract from the dentate gyrus to the CA3 region of the hippocampus along with strong NPY immunoreactivity in the CA1 region (APPSwDI shown in Fig. 6A
Discussion Replication of AD-like pathology in mice by the sole accumulation of amyloid peptides leading to abnormal tau pathology, neuronal loss and cognitive dysfunction has proven to be elusive. Incomplete pathological models that show abundant amyloid deposition with little or sparse tau pathology, rare neuronal loss and limited changes in learning and memory behaviors have been most commonly generated (Hsiao et al., 1996;Games et al., 1995;Hsiao, 1998;Holcomb et al., 1998). We report here a method to progress an amyloid depositing APP transgenic mouse to more complete Alzheimer's-like pathology with robust behavioral deficits. This is accomplished by genetically removing NOS2, and its iNOS protein product in mice that concomitantly express mutated human APP and deposit Aß. These mice appear to closely replicate the human disease showing native tau pathology and neuron loss in the presence of amyloid deposition. Particularly, one subset of neurons known to be vulnerable in human AD is also particularly vulnerable in this mouse model, the neuropeptide Y (NPY) neurons. The role of iNOS in neuropathology has been associated with neuronal damage and death. Higher levels of NO (>400 nM), as observed in eradication of pathogens during an acute immune response, have pathophysiological consequences. At pathogenic levels, p53 activation and the induction of apoptosis can occur (Thomas et al., 2004;Brown and Bal-Price, 2003). Clearly, the exposure of cells to high levels of NO in an acute fashion will produce cell damage and death (Dawson and Dawson, 1998). However, using cyclic GMP activity, a well described surrogate marker of NO's action, Duport and Garthwaite (2005) have challenged the idea that iNOS production by immune cells in brain slice culture kills adjacent cells. Numerous studies have also shown that iNOS activity can be neuro-protective (Sinz et al., 1999;Kroncke et al., 2000;Tang et al., 2006;Ciani et al., 2002). For example, Sinz (Sinz et al., 1999) reported that cognitive behavioral responses after head injury are worse in iNOS knockout mice than in wild-type controls. The large, long-term functional loss in these mice is accompanied by decreased brain ascorbate levels leading to brain oxidative stress (Bayir et al., 2005). A four-fold decrease in hippocampal levels of iNOS is observed in aged spontaneously hypertensive rats that also demonstrate significantly poorer performance in the Morris water maze compared to age matched control rats (Huang et al., 2006). Again, the decreased iNOS levels were associated with increased oxidative stress. Our present data on the APPSwDI/NOS2−/− mouse and our previously published study on the Tg2576 APP mouse on a NOS2 knockout background (Colton et al., 2006) add to the increasing evidence suggesting that NO generated by iNOS under conditions of long-term injury or disease reduces functional loss and mitigates pathological changes in brain (Culmsee et al., 2005;Akassoglou, 2005;Pannu and Singh, 2006). In human AD brains, tau hyperphosphorylation and aggregation has been linked to neuronal damage and loss and is predicted to be a downstream effect of Aß action (Iqbal et al., 1994;Braak and Braak, 1998;Binder et al., 2005). It is also important to note than in AD it is normal human tau that becomes pathological and, as yet, no mutations have been located in the tau gene in AD. This is in contrast to frontotemporal dementia (FTD) where numerous mutations in tau, producing the same tau pathology as AD in the absence of amyloid, have been found (Goedert, 2005). While transgenic mouse models expressing mutated human tau with amyloid have been useful to study some interactions between amyloid and tau (Oddo et al., 2003;Lewis et al., 2001) they are not ideal as the tau pathology generated by mutated human tau can occur independently of amyloid (Lewis et al., 2000). In the APPSwDI/NOS2−/− mouse we find hyperphosphorylation and aggregation of the native mouse tau in regions where amyloid deposition is particularly dense. In this bigenic mouse the most dense regions of amyloid deposition are the small blood vessels of the thalamus and subiculum (Fig. 3 An important aspect of human AD that results from the other pathologies of the disease is hippocampal and cortical neuron loss. This is an outcome that, for the most part, has eluded scientists working on AD transgenic mouse models. In fact, only one APP transgenic mouse has been shown to have significantly decreased neuron number (Calhoun et al., 1998). In the mouse model that has provided the most information to date regarding amyloid and tau interactions, the triple transgenic mouse model (Oddo et al., 2003), no neuron loss is observed (Morrissette D.A. and LaFerla F.M., 2007). We see significant neuron loss in the APPSwDI/NOS2−/− mice as quantified by stereological neuron counting in the hippocampus, the CA3 region and the subiculum. While it is unclear why removal of the NOS2 gene in the APPSwDI mouse results in progression from amyloid pathology to amyloid and tau pathology and neuronal loss a possible reason is the differences between mouse and human iNOS expression and nitric oxide production. It has been known for some time that human macrophages in vitro produce significantly less NO when stimulated under conditions that produce high NO levels in mouse macrophages in vitro (Colton et al., 1996;Weinberg et al., 1995). Also, more recently, it has been shown that microglia isolated from mice expressing the human NOS2 gene have significantly lower NO production than wild type mouse microglia upon the same stimulation (Vitek et al., 2006). These data coupled with the multiple differences that have been observed in the promoter region of the human vs the mouse NOS2 gene support the idea that NO production may be significantly different between mouse and human microglia. One hypothesis could be that high levels of NO production in APP transgenic mice are neuroprotective and therefore pathology does not progress beyond amyloid deposition. By removing iNOS, the nitric oxide balance is now more like the human brain and therefore amyloid deposition can stimulate the other AD pathologies. Further studies will be required to test this hypothesis. Neuropeptide Y (NPY) is an important peptide neurotransmitter in interneurons throughout the brain and has been implicated in learning and memory. Injection of NPY into the brains of CD-1 mice improves spatial memory (Flood et al., 1987) while NPY Y2 receptor knockout mice (NPY Y2−/−) demonstrate impaired cognition (Redrobe et al, 2004). Cerebral spinal fluid (CSF) NPY levels (Minthon et al, 1990; Martignoni et al, 1992) and NPY positive neurons in the hippocampus are significantly reduced in AD brains (Kowall and Beal, 1988). Furthermore, NPY has been shown to affect cerebral blood flow causing either direct vasoconstriction or indirect NO-mediated vasodilation (Suzuki et al., 1989) (Kobari et al., 1993). Because the APPSwDI/NOS2−/− mouse has a large vascular component to its pathology we examined the NPY neurons in this mouse model in the same brain regions where total neuronal number was reduced. Using stereological methods, we found a more profound loss of NPY neurons than overall losses in total neuron numbers. This would suggest that the NPY neuron population is particularly vulnerable in the APPSwDI/NOS2−/− mice as is the case in human AD. To summarize, we have progressed amyloid pathology in an APP transgenic mouse to further develop tau pathology and neuronal loss by genetically deleting the NOS2 gene. This mouse represents a significant advancement over commonly used mouse models of Alzheimer's disease since the tau pathology is that of normal mouse tau. Furthermore, in addition to increased loss of total neurons, at least one of the well-known vulnerable neuron populations in AD, the NPY neurons, are depleted in this mouse model. The APPSwDI/NOS2−/− mouse now provides the means to truly test the amyloid hypothesis of AD and also provides a potentially useful model in which to test therapeutic interventions for the treatment of AD. Acknowledgements These studies were supported by NIH grants AG030942 (DMW), NS55118 (WVN), AG19780 (MPV), AG19740 (CAC). Antibody reagents for the Aß ELISAs were generously provided by Lilly Research Laboratories. Reference List
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Alzheimer Dis Assoc Disord. 1998 Sep; 12(3):182-9.
[Alzheimer Dis Assoc Disord. 1998]Science. 2002 Jul 19; 297(5580):353-6.
[Science. 2002]Exp Gerontol. 1998 Nov-Dec; 33(7-8):883-9.
[Exp Gerontol. 1998]Science. 1996 Oct 4; 274(5284):99-102.
[Science. 1996]Nature. 1995 Feb 9; 373(6514):523-7.
[Nature. 1995]Prog Neurobiol. 1992; 38(2):125-67.
[Prog Neurobiol. 1992]J Comp Neurol. 1986 Feb 15; 244(3):384-400.
[J Comp Neurol. 1986]Ann Neurol. 1988 Feb; 23(2):105-14.
[Ann Neurol. 1988]Neuroscience. 2000; 100(2):259-86.
[Neuroscience. 2000]Neurobiol Dis. 2003 Dec; 14(3):579-94.
[Neurobiol Dis. 2003]Antioxid Redox Signal. 2000 Fall; 2(3):585-605.
[Antioxid Redox Signal. 2000]Antioxid Redox Signal. 2005 Mar-Apr; 7(3-4):497-507.
[Antioxid Redox Signal. 2005]J Cereb Blood Flow Metab. 2005 Jun; 25(6):673-84.
[J Cereb Blood Flow Metab. 2005]Free Radic Biol Med. 2005 Dec 1; 39(11):1478-88.
[Free Radic Biol Med. 2005]Proc Natl Acad Sci U S A. 2004 Jun 15; 101(24):8894-9.
[Proc Natl Acad Sci U S A. 2004]J Biol Chem. 2004 May 7; 279(19):20296-306.
[J Biol Chem. 2004]Proc Natl Acad Sci U S A. 1995 Nov 7; 92(23):10688-92.
[Proc Natl Acad Sci U S A. 1995]Nat Protoc. 2006; 1(4):1671-9.
[Nat Protoc. 2006]Neuroscience. 2007 Apr 25; 146(1):98-107.
[Neuroscience. 2007]J Comp Physiol Psychol. 1979 Feb; 93(1):74-104.
[J Comp Physiol Psychol. 1979]Neuroscience. 2007 Apr 25; 146(1):98-107.
[Neuroscience. 2007]J Neurosci. 2004 Jul 7; 24(27):6144-51.
[J Neurosci. 2004]Anat Rec. 1991 Dec; 231(4):482-97.
[Anat Rec. 1991]Am J Pathol. 2005 Aug; 167(2):505-15.
[Am J Pathol. 2005]J Neuroinflammation. 2004 Dec 8; 1(1):24.
[J Neuroinflammation. 2004]Neuroscience. 2007 Apr 25; 146(1):98-107.
[Neuroscience. 2007]Mol Psychiatry. 1997 May; 2(3):178-80.
[Mol Psychiatry. 1997]Neurology. 1992 Mar; 42(3 Pt 1):631-9.
[Neurology. 1992]Brain Res. 2005 Feb 21; 1035(1):24-31.
[Brain Res. 2005]Brain Res. 2001 Apr 20; 898(2):350-7.
[Brain Res. 2001]Prog Neuropsychopharmacol Biol Psychiatry. 2003 Apr; 27(2):215-29.
[Prog Neuropsychopharmacol Biol Psychiatry. 2003]J Clin Invest. 2004 Jul; 114(1):121-30.
[J Clin Invest. 2004]J Cereb Blood Flow Metab. 1987 Feb; 7(1):45-57.
[J Cereb Blood Flow Metab. 1987]Science. 1996 Oct 4; 274(5284):99-102.
[Science. 1996]Nature. 1995 Feb 9; 373(6514):523-7.
[Nature. 1995]Exp Gerontol. 1998 Nov-Dec; 33(7-8):883-9.
[Exp Gerontol. 1998]Nat Med. 1998 Jan; 4(1):97-100.
[Nat Med. 1998]Proc Natl Acad Sci U S A. 2004 Jun 15; 101(24):8894-9.
[Proc Natl Acad Sci U S A. 2004]Mol Neurobiol. 2003 Jun; 27(3):325-55.
[Mol Neurobiol. 2003]Prog Brain Res. 1998; 118():215-29.
[Prog Brain Res. 1998]Neuroscience. 2005; 135(4):1155-66.
[Neuroscience. 2005]J Clin Invest. 1999 Sep; 104(5):647-56.
[J Clin Invest. 1999]Mol Neurobiol. 1994 Aug-Dec; 9(1-3):119-23.
[Mol Neurobiol. 1994]J Neural Transm Suppl. 1998; 53():127-40.
[J Neural Transm Suppl. 1998]Biochim Biophys Acta. 2005 Jan 3; 1739(2-3):216-23.
[Biochim Biophys Acta. 2005]Mov Disord. 2005 Aug; 20 Suppl 12():S45-52.
[Mov Disord. 2005]Neuron. 2003 Jul 31; 39(3):409-21.
[Neuron. 2003]Nature. 1998 Oct 22; 395(6704):755-6.
[Nature. 1998]Neuron. 2003 Jul 31; 39(3):409-21.
[Neuron. 2003]Mol Chem Neuropathol. 1996 May-Aug; 28(1-3):15-20.
[Mol Chem Neuropathol. 1996]Blood. 1995 Aug 1; 86(3):1184-95.
[Blood. 1995]Antioxid Redox Signal. 2006 May-Jun; 8(5-6):893-901.
[Antioxid Redox Signal. 2006]Brain Res. 1987 Sep 22; 421(1-2):280-90.
[Brain Res. 1987]Ann Neurol. 1988 Feb; 23(2):105-14.
[Ann Neurol. 1988]J Cereb Blood Flow Metab. 1989 Jun; 9(3):268-70.
[J Cereb Blood Flow Metab. 1989]Brain Res Bull. 1993; 31(5):443-8.
[Brain Res Bull. 1993]