Core C represents the heart of the entire program project since it will be the core recruiting, screening and performing the clinical testing in subjects involved in the five projects, i.e.: 1) Population Genomics of Longevity and Healthy Aging, 2) Glucose Metabolism and the Function of Aging T Cells, 3) Energy Metabolism and Oxidative Stress in Aging, 4) Vascular Status, Physical Function and Healthy Age, and 5) Contributions of Episodic Memory to Healthy Aging. Core C (in cooperation with the Sampling and Data Management Core B) will act to bolster the interrelationships between the individual projects, which are the strength of this proposal, by ensuring the collection of an adequate database of potential biomarkers of """"""""healthy aging."""""""" Core C will then integrate the data generated from the individual research projects along with potential biomarkers of healthy aging to formulate a valid index of """"""""healthy aging"""""""". Such an index will facilitate the interpretation of the results of the research projects of this proposal and will serve as a potential reference and baseline for future investigations. In summary, Core C will recruit 780 subjects for the research components of the Program, provide a clinical assessment of these subjects, obtain the necessary biological material needed for the component projects, determine the validity of biomarkers of """"""""healthy aging,"""""""" and attempt to formulate a validated profile of """"""""healthy aging."""""""" Subjects will be recruited, screened and enrolled in the study over the 4 first years, and the fifth year will be used to analyze the data and write up the results.

Agency
National Institute of Health (NIH)
Institute
National Institute on Aging (NIA)
Type
Research Program Projects (P01)
Project #
1P01AG022064-01A1
Application #
6775148
Study Section
Special Emphasis Panel (ZAG1-ZIJ-8 (J3))
Project Start
2004-04-01
Project End
2007-03-31
Budget Start
2004-04-01
Budget End
2007-03-31
Support Year
1
Fiscal Year
2004
Total Cost
$97,708
Indirect Cost
Name
Louisiana State University Hsc New Orleans
Department
Type
DUNS #
782627814
City
New Orleans
State
LA
Country
United States
Zip Code
70112
Jazwinski, S Michal; Jiang, James C; Kim, Sangkyu (2018) Adaptation to metabolic dysfunction during aging: Making the best of a bad situation. Exp Gerontol 107:87-90
Kim, Sangkyu; Jazwinski, S Michal (2018) The Gut Microbiota and Healthy Aging: A Mini-Review. Gerontology 64:513-520
Maffei, Vincent J; Kim, Sangkyu; Blanchard 4th, Eugene et al. (2017) Biological Aging and the Human Gut Microbiota. J Gerontol A Biol Sci Med Sci 72:1474-1482
Kim, Sangkyu; Myers, Leann; Wyckoff, Jennifer et al. (2017) The frailty index outperforms DNA methylation age and its derivatives as an indicator of biological age. Geroscience 39:83-92
Cherry, Katie E; Brown, Jennifer Silva; Kim, Sangkyu et al. (2016) Social Factors and Healthy Aging: Findings from the Louisiana Healthy Aging Study (LHAS). Kinesiol Rev (Champaign) 5:50-56
Kim, Sangkyu; Myers, Leann; Ravussin, Eric et al. (2016) Single nucleotide polymorphisms linked to mitochondrial uncoupling protein genes UCP2 and UCP3 affect mitochondrial metabolism and healthy aging in female nonagenarians. Biogerontology 17:725-36
Kim, Sangkyu; Simon, Eric; Myers, Leann et al. (2016) Programmed Cell Death Genes Are Linked to Elevated Creatine Kinase Levels in Unhealthy Male Nonagenarians. Gerontology 62:519-29
Kim, Sangkyu; Welsh, David A; Myers, Leann et al. (2015) Non-coding genomic regions possessing enhancer and silencer potential are associated with healthy aging and exceptional survival. Oncotarget 6:3600-12
Stanko, Katie E; Cherry, Katie E; Ryker, Kyle S et al. (2015) Looking for the Silver Lining: Benefit Finding after Hurricanes Katrina and Rita in Middle-Aged, Older, and Oldest-Old Adults. Curr Psychol 34:564-575
Kim, Sangkyu; Jazwinski, S Michal (2015) Quantitative measures of healthy aging and biological age. Healthy Aging Res 4:

Showing the most recent 10 out of 45 publications