title: Relationships of systemic oxidative stress to body fat distribution, adipokines and inflammatory markers in healthy middle-aged women.
abstract: Obesity and systemic oxidative stress are closely related. However data concerning the relationships between oxidative stress and body fat mass distribution are sparse. Anthropometric and metabolic profile was evaluated in 148 clinically healthy middle-aged women to assess the correlations between oxidative stress, fat mass distribution, adipokines, and inflammatory markers. Systemic oxidative stress was assessed by urinary creatinine-indexed 8-epi-prostaglandin F-(2alpha) (8-epi-PGF(2alpha)). Body fat mass distribution was examined by dual-energy X-ray absorptiometry (DXA). Lipid profile, adipokines and inflammatory markers including leptin, adiponectin, high sensitive C-reactive protein (hsCRP), plasminogen activator inhibitor-1 (PAI-1), tumor necrosis factor-alpha (TNF-alpha) were determined. We found body mass index (BMI), waist circumference (WC), both central and peripheral DXA-derived regional fat mass (FM) accumulations were positively correlated with 8-epi-PGF(2alpha). Leptin, hsCRP and PAI-1also positively associated with 8-epi-PGF(2alpha). After adjustment for BMI and WC, lower-body FM, total FM and PAI-1 retained significant association with 8-epi-PGF(2alpha). Mutliple linear regression analyses indicated lower-body FM and PAI-1 were the two important predicators of 8-epi-PGF(2alpha). These results suggest that DXA-derived regional FM indices, especially low extremity adiposity, are more closely associated with systemic oxidative stress than indirect anthropometric indices. Positive associations between 8-epi-PGF(2alpha) and PAI-1, hsCRP, leptin support the notion that oxidative-stress-induced dysregulation of inflammation and adipokines may mediate the obesity-related metabolic derangement.
authors.affiliation: Open Research Center for Studying of Lifestyle-Related Diseases, Mukogawa Women's University, Nishinomiya, Hyogo, Japan. wu.bin@gmx.com
authors.forename: Bin
authors.initials: B
authors.lastname: Wu
authors.forename: Keisuke
authors.initials: K
authors.lastname: Fukuo
authors.forename: Kazuhisa
authors.initials: K
authors.lastname: Suzuki
authors.forename: Gen
authors.initials: G
authors.lastname: Yoshino
authors.forename: Tsutomu
authors.initials: T
authors.lastname: Kazumi
mesh_terms: D015502:Absorptiometry, Photon; D054392:Adipokines / Q000097:blood*; D000328:Adult; D000704:Analysis of Variance; D050218:Body Fat Distribution; D015992:Body Mass Index; D003404:Creatinine / Q000652:urine; D003430:Cross-Sectional Studies; D015237:Dinoprost / Q000031:analogs & derivatives / Q000652:urine; D005260:Female; D006801:Humans; D018836:Inflammation Mediators / Q000097:blood / Q000652:urine; D008875:Middle Aged; D009765:Obesity / Q000503:physiopathology*; D018384:Oxidative Stress / Q000502:physiology*; D012044:Regression Analysis; D018709:Statistics, Nonparametric
chemical_list: D054392:Adipokines; D018836:Inflammation Mediators; C075750:8-epi-prostaglandin F2alpha; D003404:Creatinine; D015237:Dinoprost