Core B evaluates and follows all participants entered into the studies of the program project. It uses an established clinical and psychometric protocol at entry and annually thereafter to obtain clinical, neurological, and behavioral data to carefully characterize each participant in support of each of the 3 Projects of this Program Project Grant (PPG).
Specific Aims of Core B are: 1. Maintain the current active cohort (n=225) of participants, carefully characterized as to the presence or absence of symptomatic AD, to support longitudinal studies of the clinical, cognitive, behavioral and biomedical correlates of symptomatic Alzheimer's disease (AD) in comparison with normal aging, and to mark the transition of cognitively normal participants with preclinical AD to cognitive impairment. 2. Annually enroll and assess 35 new participants (CDR 0=23;CDR 0.5/AD =12) each year who are age e 65 to replenish the Core's cohort to maintain a sufficient sample size (n~250) to support the aims of the PPG and to supply study participants and their data (and DNA to Project 3) to individual Projects: 3. Follow all participants with annual assessments and provide diagnostic and clinical and cognitive data to all Cores and Projects, working closely with Core C: Biostatistics and Core A: Administration to coordinate data acquisition and management to integrate the Core's activities with the scientific goals of the Program Project. In addition to HASD's traditional diagnostic methods, in this application HASD participants will (in accordance with the criteria established by the Alzheimer Disease Neuroimaging Initiative-2) also be classified as significant memory concern, early and late mild cognitive impairment (MCI). 4. Support Core D: Neuropathology through our voluntary autopsy consent program. 5. Support Core E: Imaging and all Projects by referring: a. all HASD participants for MRI and PET amyloid imaging session at baseline and every 3 years thereafter;b. provide Project 1 (Indicators of transition to symptomatic AD) clinical characterizations and data from cognitive measures of all participants;c. refer to Project 2 (Sleep: potential prognostic and theranostic marker for preclinical AD) all participants for sleep and cerebrospinal fluid studies;d. Collect blood from all newly enrolled Core participants for Project 3 (Identification of genetic variants associated with the progression of AD) for their GWAS and variant characterization.

Public Health Relevance

Core B: Clinical Project Narrative As instructed by the funding opportunity announcement for this application (PAR-13-329), only the Overall component contains a project narrative. Cores and projects were instructed not to include this section.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
2P01AG003991-31A1
Application #
8739009
Study Section
Special Emphasis Panel (ZAG1-ZIJ-4 (M1))
Project Start
Project End
2019-04-30
Budget Start
2014-07-01
Budget End
2015-06-30
Support Year
31
Fiscal Year
2014
Total Cost
$516,802
Indirect Cost
$176,497
Name
Washington University
Department
Type
DUNS #
068552207
City
Saint Louis
State
MO
Country
United States
Zip Code
63130
Joseph-Mathurin, Nelly; Su, Yi; Blazey, Tyler M et al. (2018) Utility of perfusion PET measures to assess neuronal injury in Alzheimer's disease. Alzheimers Dement (Amst) 10:669-677
Pottier, Cyril; Zhou, Xiaolai; Perkerson 3rd, Ralph B et al. (2018) Potential genetic modifiers of disease risk and age at onset in patients with frontotemporal lobar degeneration and GRN mutations: a genome-wide association study. Lancet Neurol 17:548-558
Oxtoby, Neil P; Young, Alexandra L; Cash, David M et al. (2018) Data-driven models of dominantly-inherited Alzheimer's disease progression. Brain 141:1529-1544
Del-Aguila, Jorge L; Fernández, Maria Victoria; Schindler, Suzanne et al. (2018) Assessment of the Genetic Architecture of Alzheimer's Disease Risk in Rate of Memory Decline. J Alzheimers Dis 62:745-756
Bonham, Luke W; Karch, Celeste M; Fan, Chun C et al. (2018) CXCR4 involvement in neurodegenerative diseases. Transl Psychiatry 8:73
Mishra, Shruti; Blazey, Tyler M; Holtzman, David M et al. (2018) Longitudinal brain imaging in preclinical Alzheimer disease: impact of APOE ?4 genotype. Brain 141:1828-1839
Wildburger, Norelle C; Gyngard, Frank; Guillermier, Christelle et al. (2018) Amyloid-? Plaques in Clinical Alzheimer's Disease Brain Incorporate Stable Isotope Tracer In Vivo and Exhibit Nanoscale Heterogeneity. Front Neurol 9:169
Schindler, Suzanne E; Gray, Julia D; Gordon, Brian A et al. (2018) Cerebrospinal fluid biomarkers measured by Elecsys assays compared to amyloid imaging. Alzheimers Dement 14:1460-1469
Babulal, Ganesh M; Chen, Suzie; Williams, Monique M et al. (2018) Depression and Alzheimer's Disease Biomarkers Predict Driving Decline. J Alzheimers Dis 66:1213-1221
Pehlivanova, Marieta; Wolf, Daniel H; Sotiras, Aristeidis et al. (2018) Diminished Cortical Thickness is Associated with Impulsive Choice in Adolescence. J Neurosci :

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