The Neuropathology Core will provide state-of-the-art collection, storage, and distribution of brain and other biospecimens, establish neuropathological diagnoses of decedent Clinical Core participants, and provide resources and expertise for nonhuman primate (NHP) models for pivotal mechanistic and therapeutic AD research. The Core will oversee repositories derived from longitudinal collection of biospecimens obtained from adults at high risk for AD due to genetic and metabolic risk factors, as well as low-risk adults, and adults with MCI and AD, and from analogous studies in NHPs. These repositories will provide unique opportunities to identify novel biomarkers, neurodegenerative antecedents, and therapeutic targets, and will be made available to NCRAD and to ADC investigators. The Core utilizes an innovative inter-institutional leadership model in which a team of neuropathologists from Wake Forest and the University of Washington will employ state-of- the-art virtual microscopy, webconferencing, and biospecimen sharing to accelerate the development of Neuropathology operations at the newly established Wake Forest ADCC. Interinstitutional publication has already resulted, and an NHP study of age-associated AD-like neuropathology completed which provide proof of concept for this approach. Thus, we will accomplish the following Specific Aims: 1) To oversee a repository of brain tissue, CSF, DNA, and blood from participants enrolled in the Clinical and MESA Cores of the Wake Forest ADCC, using state-of-the-art methods for specimen collection, processing, storage, and distribution; 2) To facilitate distribution of data and specimens in the repository to Wake ADCC and ADC network investigators, as well as to NCRAD and AD researchers world-wide; 3) To conduct rigorous neuropathological diagnostic evaluations and clinical-pathological investigations of decedent Clinical and MESA Core participants, using an innovative inter-institutional model that incorporates the latest technology in virtual microscopy and web conferencing; 4) To facilitate the measurement of key biomarkers of AD pathology and innovative markers of metabolic/vascular function; and 5): To establish preclinical models of AD and pathological brain aging in NHPs using procedures analogous to human protocols, and in doing so (a) create a repository of brain tissue, CSF, DNA, biospecimens, and neuroimaging data, and (b) NHP cohorts and rodent models, that can be used for pivotal mechanistic and therapeutic studies.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Center Core Grants (P30)
Project #
5P30AG049638-04
Application #
9753086
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2019-07-01
Budget End
2020-06-30
Support Year
4
Fiscal Year
2019
Total Cost
Indirect Cost
Name
Wake Forest University Health Sciences
Department
Type
DUNS #
937727907
City
Winston-Salem
State
NC
Country
United States
Zip Code
27157
Haaksma, Miriam L; Calderón-Larrañaga, Amaia; Olde Rikkert, Marcel G M et al. (2018) Cognitive and functional progression in Alzheimer disease: A prediction model of latent classes. Int J Geriatr Psychiatry 33:1057-1064
Ramsey, Christine M; Gnjidic, Danijela; Agogo, George O et al. (2018) Longitudinal patterns of potentially inappropriate medication use following incident dementia diagnosis. Alzheimers Dement (N Y) 4:1-10
Hadjichrysanthou, Christoforos; McRae-McKee, Kevin; Evans, Stephanie et al. (2018) Potential Factors Associated with Cognitive Improvement of Individuals Diagnosed with Mild Cognitive Impairment or Dementia in Longitudinal Studies. J Alzheimers Dis 66:587-600
Hanfelt, John J; Peng, Limin; Goldstein, Felicia C et al. (2018) Latent classes of mild cognitive impairment are associated with clinical outcomes and neuropathology: Analysis of data from the National Alzheimer's Coordinating Center. Neurobiol Dis 117:62-71
Espeland, Mark A; Chen, Jiu-Chiuan; Weitlauf, Julie et al. (2018) Trajectories of Relative Performance with 2 Measures of Global Cognitive Function. J Am Geriatr Soc 66:1575-1580
Casanova, Ramon; Barnard, Ryan T; Gaussoin, Sarah A et al. (2018) Using high-dimensional machine learning methods to estimate an anatomical risk factor for Alzheimer's disease across imaging databases. Neuroimage 183:401-411
Nagpal, Ravinder; Wang, Shaohua; Solberg Woods, Leah C et al. (2018) Comparative Microbiome Signatures and Short-Chain Fatty Acids in Mouse, Rat, Non-human Primate, and Human Feces. Front Microbiol 9:2897
Schaffert, Jeff; LoBue, Christian; White, Charles L et al. (2018) Traumatic brain injury history is associated with an earlier age of dementia onset in autopsy-confirmed Alzheimer's disease. Neuropsychology 32:410-416
Espeland, Mark A; Luchsinger, Jose A; Neiberg, Rebecca H et al. (2018) Long Term Effect of Intensive Lifestyle Intervention on Cerebral Blood Flow. J Am Geriatr Soc 66:120-126
Davis, Jeremy J (2018) Performance validity in older adults: Observed versus predicted false positive rates in relation to number of tests administered. J Clin Exp Neuropsychol 40:1013-1021

Showing the most recent 10 out of 34 publications