1. We have expanded on our studies testing metabolic perturbations in Alzheimer's disease (AD) to identify distinct abnormalities in brain glucose utilization, phospholipid/fatty acid metabolism, cholesterol/oxysterol biosynthesis as well as polyamine metabolism and transmethylation reactions. 2. We have initiated analyses of real-world prescription datasets to test the hypothesis that drugs targeting abnormal metabolism may alter the risk of incident AD. Our hypothesis is that exposure to one or more of these drugs will protect against AD. This will provide a strong rationale for further confirmation in randomized clinical trials (RCTs). We have secured support from the NIA IRP through special-AD funds for the 'Drug Repurposing for Effective Alzheimers Medicines (DREAM)' study. It aligns well with one of the milestones in the National Alzheimer's Project Act (NAPA) i.e. Initiate research programs for translational bioinformatics and network pharmacology to support rational drug repositioning and combination therapy from discovery through clinical development. 3. While cardiovascular risk factors such as obesity, diabetes and hypercholesterolemia increase the risk of AD, the biological mechanisms underlying metabolic syndrome (MetS) are unclear. Whether these risk factors operate through shared mechanisms in older individuals from diverse environmental, cultural and genetic backgrounds, is also unknown. We have compared associations between serum metabolite profiles and MetS in older individuals from the Baltimore Longitudinal Study of Aging (BLSA) and the Tsuruoka Metabolomics Cohort Study (TMCS) to address this question. Our results suggest that there are both shared and unique blood metabolite signatures associated with MetS in North American and Japanese older individuals. These studies hold promise for the development of personalized treatments targeting abnormal metabolism in diseases such as AD.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Investigator-Initiated Intramural Research Projects (ZIA)
Project #
1ZIAAG000200-07
Application #
10019242
Study Section
Project Start
Project End
Budget Start
Budget End
Support Year
7
Fiscal Year
2019
Total Cost
Indirect Cost
Name
National Institute on Aging
Department
Type
DUNS #
City
State
Country
Zip Code
Varma, Vijay R; Oommen, Anup M; Varma, Sudhir et al. (2018) Brain and blood metabolite signatures of pathology and progression in Alzheimer disease: A targeted metabolomics study. PLoS Med 15:e1002482
Seddighi, Sahba; Varma, Vijay R; An, Yang et al. (2018) SPARCL1 Accelerates Symptom Onset in Alzheimer's Disease and Influences Brain Structure and Function During Aging. J Alzheimers Dis 61:401-414
Shi, Liu; Baird, Alison L; Westwood, Sarah et al. (2018) A Decade of Blood Biomarkers for Alzheimer's Disease Research: An Evolving Field, Improving Study Designs, and the Challenge of Replication. J Alzheimers Dis 62:1181-1198
Wong, Dean F; Comley, Robert A; Kuwabara, Hiroto et al. (2018) Characterization of 3 Novel Tau Radiopharmaceuticals, 11C-RO-963, 11C-RO-643, and 18F-RO-948, in Healthy Controls and in Alzheimer Subjects. J Nucl Med 59:1869-1876
Seddighi, Sahba; Varma, Vijay; Thambisetty, Madhav (2018) ?2-macroglobulin in Alzheimer's disease: new roles for an old chaperone. Biomark Med 12:311-314
An, Yang; Varma, Vijay R; Varma, Sudhir et al. (2018) Evidence for brain glucose dysregulation in Alzheimer's disease. Alzheimers Dement 14:318-329
Deming, Yuetiva; Dumitrescu, Logan; Barnes, Lisa L et al. (2018) Sex-specific genetic predictors of Alzheimer's disease biomarkers. Acta Neuropathol 136:857-872
Hohman, Timothy J; Dumitrescu, Logan; Barnes, Lisa L et al. (2018) Sex-Specific Association of Apolipoprotein E With Cerebrospinal Fluid Levels of Tau. JAMA Neurol 75:989-998
Kueider, Alexandra M; An, Yang; Tanaka, Toshiko et al. (2017) Sex-Dependent Associations of Serum Uric Acid with Brain Function During Aging. J Alzheimers Dis 60:699-706
Toledo, Jon B; Arnold, Matthias; Kastenmüller, Gabi et al. (2017) Metabolic network failures in Alzheimer's disease: A biochemical road map. Alzheimers Dement 13:965-984

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