Several ongoing longitudinal studies have found evidence that many cardiovascular disease risk factors (CvRFs) are also risk factors for Alzheimer disease (AD). Most study cohorts, however, do not include many of the oldest old, and when present, they are predominantly female. Data from our center suggest CvRFs may be especially potent for AD in the very old. We selected diabetes, total cholesterol, hypertension, and plasma homocysteine concentration, based on prior research, for primary hypothesis testing. We will investigate whether there is a relationship between each one of these four CvRFs with cognitive decline and AD in an elderly male veteran population and explore whether this effect is strengthened with increased age. An """"""""Aging Research Clinic"""""""" will be established at the Bronx VA specifically dedicated to this project. Eligible subjects must be older than 75 (with special emphasis on recruiting the very old) and be free of dementia. In addition to the four primary CvRFs, subjects will receive a comprehensive CvRF examination in conjunction with the cardiovascular research program at the Bronx VA. The four primary risk factors will be directly assessed at baseline in each subject. In addition, the baseline risk factor assessment will include: age, smoking, family history, weight and waistline, prior medical history for cardiovascular events, apolipoprotein E (and other relevant genotyping), C reactive protein, physical activity and other risk factors. Subjects will also be evaluated at baseline for left ventricular hypertrophy, carotid artery intima media thickness and proximal capacitative or large artery compliance, and distal oscillatory small artery compliance by radial artery pulse wave analysis. MRIs will be conducted at baseline in all subjects and at follow up in those who show evidence of cognitive decline (CDR30.5) to assess the role of cerebrovascular disease. The subjects will be followed longitudinally on an annual basis to determine who among them show evidence of cognitive decline (CDR > or = 0.5) and AD, as well as other possible forms of dementias (e.g. vascular dementia). As many of these CvRFs are modifiable, implicating them as risk factors for very late onset cognitive decline and AD holds the potential for making major public health gains for the very old--the fastest growing segment of the U.S. population.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
5P01AG002219-26
Application #
7224211
Study Section
Special Emphasis Panel (ZAG1)
Project Start
Project End
Budget Start
2006-04-01
Budget End
2007-03-31
Support Year
26
Fiscal Year
2006
Total Cost
$364,254
Indirect Cost
Name
Mount Sinai School of Medicine
Department
Type
DUNS #
078861598
City
New York
State
NY
Country
United States
Zip Code
10029
Gusev, Alexander; Mancuso, Nicholas; Won, Hyejung et al. (2018) Transcriptome-wide association study of schizophrenia and chromatin activity yields mechanistic disease insights. Nat Genet 50:538-548
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
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 :
Agrawal, A; Chou, Y-L; Carey, C E et al. (2018) Genome-wide association study identifies a novel locus for cannabis dependence. Mol Psychiatry 23:1293-1302
Dobbyn, Amanda; Huckins, Laura M; Boocock, James et al. (2018) Landscape of Conditional eQTL in Dorsolateral Prefrontal Cortex and Co-localization with Schizophrenia GWAS. Am J Hum Genet 102:1169-1184
Gandal, Michael J; Haney, Jillian R; Parikshak, Neelroop N et al. (2018) Shared molecular neuropathology across major psychiatric disorders parallels polygenic overlap. Science 359:693-697
Khan, Atlas; Liu, Qian; Wang, Kai (2018) iMEGES: integrated mental-disorder GEnome score by deep neural network for prioritizing the susceptibility genes for mental disorders in personal genomes. BMC Bioinformatics 19:501
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
Toker, Lilah; Mancarci, Burak Ogan; Tripathy, Shreejoy et al. (2018) Transcriptomic Evidence for Alterations in Astrocytes and Parvalbumin Interneurons in Subjects With Bipolar Disorder and Schizophrenia. Biol Psychiatry 84:787-796
Huckins, L M; Hatzikotoulas, K; Southam, L et al. (2018) Investigation of common, low-frequency and rare genome-wide variation in anorexia nervosa. Mol Psychiatry 23:1169-1180

Showing the most recent 10 out of 306 publications