The Neuropathology Core C will provide neuropathologic diagnostic service for all program project subjects who come to autopsy. The CERAD neuropathology protocol will be used to assess general neuropathogic findings. The NIA/AARP quantitative diagnostic criteria will be used to establish a pathologic diagnosis of Alzheimer's disease (AD). The Core will use quantitative manual and automated computer-assisted morphometric methods to determine patterns, prevalence and severity of neuron atrophy and loss and NP and NFT accumulation associated with aging, AD, and AD-associated with Parkinsonism. Multivariate statistics will be used to correlate pathologic lesions with clinical and psychometric measures, especially important in mild dementia. The Core will process an estimated 25 brains annually. We will provide neuropathologic documentation of specific lesions and diseases in our aging and demented and nondemented aged samples. WE will provide the data for validation of clinical diagnostic criteria for subjects in Project 1 (intellectual function and Alzheimer changes in the very old), Project 3 (SDAT and Parkinsonism), Project 4 (memory processing in aging and dementia), Project 5 (lay interviewer assessment), Project 7 (neuroanatomical markers), and Project 8 (PET in aging and SDAT). Histologic criteria for differentiation of healthy aging and AD in the very old will be clarified. The neuropathological basis of parkinsonism in AD will be clarified. The hypothesis that parkinsonian dementia is due to SDAT-like neuropathology will be tested. By studying cases of mild SDAT and counting neuritic plaques by subtypes, we will test the additional hypothesis that purely fibrillary plaques are precursors to classical plaques with expanded neurites and amyloid cores. Our studies will identify how hippocampal, basal forebrain and neocorticallesions are related to dementia in AD. The relevant material for this effort includes those healthy control subjects enrolled in the Clinical Core who come to autopsy in the stages of very mild dementia.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG003991-09
Application #
3090780
Study Section
Aging Review Committee (AGE)
Project Start
1984-01-01
Project End
1993-12-31
Budget Start
1992-01-01
Budget End
1992-12-31
Support Year
9
Fiscal Year
1992
Total Cost
Indirect Cost
Name
Washington University
Department
Type
Schools of Medicine
DUNS #
062761671
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Sutphen, Courtney L; McCue, Lena; Herries, Elizabeth M et al. (2018) Longitudinal decreases in multiple cerebrospinal fluid biomarkers of neuronal injury in symptomatic late onset Alzheimer's disease. Alzheimers Dement 14:869-879
Deming, Yuetiva; Dumitrescu, Logan; Barnes, Lisa L et al. (2018) Sex-specific genetic predictors of Alzheimer's disease biomarkers. Acta Neuropathol 136:857-872
Lancour, Daniel; Naj, Adam; Mayeux, Richard et al. (2018) One for all and all for One: Improving replication of genetic studies through network diffusion. PLoS Genet 14:e1007306
Li, Zeran; Del-Aguila, Jorge L; Dube, Umber et al. (2018) Genetic variants associated with Alzheimer's disease confer different cerebral cortex cell-type population structure. Genome Med 10:43
Blaiotta, Claudia; Freund, Patrick; Cardoso, M Jorge et al. (2018) Generative diffeomorphic modelling of large MRI data sets for probabilistic template construction. Neuroimage 166:117-134
Schindler, Suzanne E; Sutphen, Courtney L; Teunissen, Charlotte et al. (2018) Upward drift in cerebrospinal fluid amyloid ? 42 assay values for more than 10 years. Alzheimers Dement 14:62-70
Gabel, Matthew; Gooblar, Jonathan; Roe, Catherine M et al. (2018) Political Ideology, Confidence in Science, and Participation in Alzheimer Disease Research Studies. Alzheimer Dis Assoc Disord 32:179-184
Blue, Elizabeth E; Bis, Joshua C; Dorschner, Michael O et al. (2018) Genetic Variation in Genes Underlying Diverse Dementias May Explain a Small Proportion of Cases in the Alzheimer's Disease Sequencing Project. Dement Geriatr Cogn Disord 45:1-17
Roe, Catherine M; Babulal, Ganesh M; Mishra, Shruti et al. (2018) Tau and Amyloid Positron Emission Tomography Imaging Predict Driving Performance Among Older Adults with and without Preclinical Alzheimer's Disease. J Alzheimers Dis 61:509-513
Rao, Shuquan; Ghani, Mahdi; Guo, Zhiyun et al. (2018) An APOE-independent cis-eSNP on chromosome 19q13.32 influences tau levels and late-onset Alzheimer's disease risk. Neurobiol Aging 66:178.e1-178.e8

Showing the most recent 10 out of 911 publications