The Administrative-Program Enrichment Core strives to enhance the research environment in San Antonio and the South Texas region, while extending its services and programs across the country. The Core’s primary goals are to promote aging research by offering seminars, meetings, and conferences that focus on the basic biology of aging and to administer research cores and programs that are regional and national resources for investigators who study aging.
The statistical component of the administration core is lead by Dr. Jonathan Gelfond and has contributed to multi-institutional collaborations and has projected its capability to the aging research community through analytical tools. The efforts include an in-depth analysis of rapamycin and caloric restriction effects on the mouse liver transcriptome such as (1), which was a joint project between the UT Health Science Center, the National Institute of Aging, and the Linus Pauling Institute at the University of Oregon. The Core has a history of contributing statistical tools for longevity research, Dr. Gelfond worked with Dr. Alex Bokov to develop the Survomatic R package that implements statistical methods for survival data analysis that are relevant for assessing aging-related modulation of the survival curve (2-5). Additionally, the Core has performed integrative data analyses that utilize multiple complex phenotypes (metabolic, activity, physical exercise, strength, body composition, disease burden, etc.) from mice to conclude that rapamycin impacts healthspan and longevity (6).
1. Fok WC, Bokov A, Gelfond J, Yu Z, Zhang Y, Doderer M, et al. Combined treatment of rapamycin and dietary restriction has a larger effect on the transcriptome and metabolome of liver. Aging Cell. 2014;13(2):311-9.
2. Zhang YQ, Bokov A, Gelfond J, Soto V, Ikeno Y, Hubbard G, et al. Rapamycin Extends Life and Health in C57BL/6 Mice. J Gerontol a-Biol. 2014;69(2):119-30.
3. Ziehm M, Thornton JM. Unlocking the potential of survival data for model organisms through a new database and online analysis platform: SurvCurv. Aging Cell. 2013;12(5):910-6.
4. Stone CM, Jackson BT, Foster WA. Effects of plant-community composition on the vectorial capacity and fitness of the malaria mosquito Anopheles gambiae. The American journal of tropical medicine and hygiene. 2012;87(4):727-36.
5. Moorad JA, Promislow DE, Flesness N, Miller RA. A comparative assessment of univariate longevity measures using zoological animal records. Aging Cell. 2012;11(6):940-8.
6. Stone CM. Foraging Behavior and Reproductive Success of the Malaria Mosquito Anopheles gambiae ss (Diptera: Culicidae): The Ohio State University; 2011.