F 2-isoprostanes and adiposity in older adults

Alka M. Kanaya, Christina L. Wassel, Pamela J. Stoddard, Tamara B. Harris, Steven R. Cummings, Stephen B. Kritchevsky, Bret H. Goodpaster, Christie Green, Suzanne Satterfield, Myron D. Gross

Research output: Contribution to journalArticlepeer-review

20 Scopus citations

Abstract

We examined whether a systemic marker of oxidative stress, F 2-isoprostanes (F 2-IPs), was associated with total and regional adiposity, adipocytokines, and change in adiposity. Using data from 726 participants enrolled in the Health, Aging, and Body Composition (Health ABC) study, F 2-IPs and adipocytokines were measured from baseline plasma samples. Total adiposity was measured by whole-body dual-energy X-ray absorptiometry and regional adiposity by abdominal and thigh computed tomography scans at baseline and 5-year follow-up. ANOVA models were estimated to examine associations between F 2-IP tertiles and baseline adiposity and changes in body composition. Median F 2-IPs was 54.3pg/ml; women had significantly higher levels than men (61.5vs. 48.9pg/ml, P 0.001). F 2-IPs were associated with higher levels of adiponectin, leptin, and tumor necrosis factor-α (TNF-α). Positive associations were found between F 2-IPs and all measures of total and regional adiposity among women. In linear regression models, adipocytokines mediated associations among women. Over 5 years of follow-up, women in the highest vs. lowest F 2-IP tertile exhibited significant loss of weight (lowest tertile: 1.1kg, highest tertile: 2.7kg, P 0.05). In conclusion, F 2-IPs were associated with measures of total and regional adiposity in women alone and these associations were partially explained by adipocytokines. F 2-IPs predicted loss of total adiposity over time among women.

Original languageEnglish (US)
Pages (from-to)861-867
Number of pages7
JournalObesity
Volume19
Issue number4
DOIs
StatePublished - Apr 2011

Fingerprint Dive into the research topics of 'F 2-isoprostanes and adiposity in older adults'. Together they form a unique fingerprint.

Cite this