The purpose of the study is to identify cardiovascular risk factors, especially modifiable ones, associated with increased risk in very late onset cognitive decline, dementia, and Alzheimer's disease (AD). Unlike the recent rapid progress in the genetics of AD, there is virtually no definitively identified non-genetic risk factor for AD other than age. However, recent evidence suggesting cardiovascular risk factors may be associated with dementia and AD is highly intriguing not only because the widespread prevalence of such factors, especially in the very old, might plausibly account for a large proportion of cases, but also because many of them are modifiable. Hence if cardiovascular risk factors do indeed increase risk for dementia and AD, identifying them offers the prospect of real public health gains in this area. The search for such risk factors among the oldest old may be valuable because the incidence of AD and other dementias is at its peak in this group and genetic factors appear to play a minimal role suggesting that this group may be most likely to reveal other, potentially more tractable risk factors. The five year study will focus on a cohort of 520+ very elderly (mean age >85) non-demented residents of an apartment complex for the independent elderly (Kitay House) and an affiliated nursing home (Jewish Home and Hospital for the Aged [JHHA]). At Kitay House, in years 1-4, the Clinical Support Core will identify and assess non-demented residents who will be followed annually by the Core in serial assessments to determine the incidence of cognitive decline, AD, vascular and other dementias. Similarly, a smaller group of non-demented residents of the JHHA will also be ascertained and serially assessed.
An aim of the project will be to collect cardiovascular risk factor information from these residents through a physician's physical examine and medical history, biological assays, chart review, and direct interviews. These data will then facilitate the testing of our hypothesis that these factors increase the risk of cognitive decline, dementia in general, and AD. An evaluation of these risk factors for mixed dementia and vascular dementia is also of interest, but these aims are subsidiary, because it is possible that the number of such cases may be small, providing limited statistical power.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Specialized Center (P50)
Project #
3P50AG005138-16S2
Application #
6218663
Study Section
Project Start
1999-08-15
Project End
2000-03-31
Budget Start
1998-10-01
Budget End
1999-09-30
Support Year
16
Fiscal Year
1999
Total Cost
Indirect Cost
Name
Mount Sinai School of Medicine
Department
Type
DUNS #
City
New York
State
NY
Country
United States
Zip Code
10029
Wang, Jen-Chyong; Alinaghi, Somayeh; Tafakhori, Abbas et al. (2018) Genetic screening in two Iranian families with early-onset Alzheimer's disease identified a novel PSEN1 mutation. Neurobiol Aging 62:244.e15-244.e17
Crum, Jana; Wilson, Jeffrey; Sabbagh, Marwan (2018) Does taking statins affect the pathological burden in autopsy-confirmed Alzheimer's dementia? Alzheimers Res Ther 10:104
Wang, Qi; Guo, Lei; Thompson, Paul M et al. (2018) The Added Value of Diffusion-Weighted MRI-Derived Structural Connectome in Evaluating Mild Cognitive Impairment: A Multi-Cohort Validation1. J Alzheimers Dis 64:149-169
Burke, Shanna L; Cadet, Tamara; Maddux, Marlaina (2018) Chronic Health Illnesses as Predictors of Mild Cognitive Impairment Among African American Older Adults. J Natl Med Assoc 110:314-325
Girdhar, Kiran; Hoffman, Gabriel E; Jiang, Yan et al. (2018) Cell-specific histone modification maps in the human frontal lobe link schizophrenia risk to the neuronal epigenome. Nat Neurosci 21:1126-1136
Kamara, Dennis M; Gangishetti, Umesh; Gearing, Marla et al. (2018) Cerebral Amyloid Angiopathy: Similarity in African-Americans and Caucasians with Alzheimer's Disease. J Alzheimers Dis 62:1815-1826
Wang, Tingyan; Qiu, Robin G; Yu, Ming (2018) Predictive Modeling of the Progression of Alzheimer's Disease with Recurrent Neural Networks. Sci Rep 8:9161
Huang, Qian; Voloudakis, Georgios; Ren, Yimin et al. (2018) Presenilin1/?-secretase protects neurons from glucose deprivation-induced death by regulating miR-212 and PEA15. FASEB J 32:243-253
Hauberg, Mads E; Fullard, John F; Zhu, Lingxue et al. (2018) Differential activity of transcribed enhancers in the prefrontal cortex of 537 cases with schizophrenia and controls. Mol Psychiatry :
Giambartolomei, Claudia; Zhenli Liu, Jimmy; Zhang, Wen et al. (2018) A Bayesian framework for multiple trait colocalization from summary association statistics. Bioinformatics 34:2538-2545

Showing the most recent 10 out of 555 publications