title: Race-ethnic differences in adipokine levels: the Study of Women's Health Across the Nation (SWAN).
abstract: Differences in adipose tissue secretory profile, as measured by adipokine levels, may play a role in race-ethnic disparities in cardiovascular disease (CVD). We examined race-ethnic differences in adipokine levels in a group of mid-life Caucasian, African American (AA), Chinese and Japanese women, after accounting for adiposity. Data on 1876 women from the Study of Women's Health Across the Nation were analyzed. In multivariable adjustment, including total fat mass, differences in total and high molecular weight (HMW) adiponectin, leptin and soluble leptin receptor (sOB-R) levels were examined. Despite intermediate levels of adiposity, Caucasian women had higher levels of both total and HMW adiponectin, when compared to both AA and Chinese and Japanese women. After multivariable adjustment, compared to Caucasian women, AA women had significantly lower total (β: -3.40; 95% CI: -4.29, -2.52; P<.001) and HMW adiponectin (β: -0.53; 95% CI: -0.64, -0.43; P<.001) levels, higher leptin levels (β: 3.26; 95% CI: 1.36, 5.16; P<.001) and lower sOB-R levels (β: -0.07; 95% CI: -0.11, -0.03; P<.001). Compared to Caucasian women, both Chinese and Japanese women had lower total (Chinese: β: -5.50; 95% CI: -7.07, -3.93; P<.001; Japanese: β: -5.48; 95% CI: -6.95, -4.02; P<.001) and HMW adiponectin (Chinese: β: -0.57; 95% CI: -0.75, -0.38; P<.001; Japanese: β: -0.61; 95% CI: -0.78, -0.44; P<.001) levels and lower sOB-R levels (Chinese: β: -0.13; 95% CI: -0.20, -0.06; P<.001; Japanese: β: -0.09; 95% CI: -0.15, -0.02; P=.008). Significant race-ethnic differences exist in circulating adipokines, even after accounting for adiposity. Further research is needed to explicitly determine if such differences contribute to known racial differences in CVD risk.
authors.affiliation: Department of Pediatrics, Albert Einstein College of Medicine, Montefiore Medical Center, 111 E. 210th Street, Bronx, NY 10467, USA. ukhan@montefiore.org
authors.forename: Unab I
authors.initials: UI
authors.lastname: Khan
authors.forename: Dan
authors.initials: D
authors.lastname: Wang
authors.forename: Maryfran R
authors.initials: MR
authors.lastname: Sowers
authors.forename: Peter
authors.initials: P
authors.lastname: Mancuso
authors.forename: Susan A
authors.initials: SA
authors.lastname: Everson-Rose
authors.forename: Philipp E
authors.initials: PE
authors.lastname: Scherer
authors.forename: Rachel P
authors.initials: RP
authors.lastname: Wildman
mesh_terms: D054392:Adipokines / Q000097:blood*; D052242:Adiponectin / Q000097:blood; D050154:Adiposity; D000328:Adult; D001741:Black or African American / Q000706:statistics & numerical data*; D000368:Aged; D001213:Asian / Q000706:statistics & numerical data*; D001823:Body Composition; D049628:Body Size; D015986:Confounding Factors, Epidemiologic; D005260:Female; D006801:Humans; D020738:Leptin / Q000097:blood; D016014:Linear Models; D008875:Middle Aged; D015999:Multivariate Analysis; D009765:Obesity / Q000097:blood* / Q000208:ethnology*; D054411:Receptors, Leptin / Q000097:blood; D014481:United States; D044465:White People / Q000706:statistics & numerical data*; D016387:Women's Health
chemical_list: D054392:Adipokines; D052242:Adiponectin; D020738:Leptin; D054411:Receptors, Leptin