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Predicting Total, Abdominal, Visceral and Hepatic Adiposity with Circulating Biomarkers in Caucasian and Japanese American Women (Biomarker Predictors of Fat Distribution)

Lim, Unhee ; Turner, Stephen D ; Franke, Adrian A ; Cooney, Robert V ; Wilkens, Lynne R ; Ernst, Thomas ; Albright, Cheryl L ; Novotny, Rachel ; Chang, Linda ; Kolonel, Laurence N ; Murphy, Suzanne P ; Le Marchand, Loïc ; Metze, Konradin (Editor)

2012, Vol.7(8), p.e43502 [Rivista Peer Reviewed]

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  • Titolo:
    Predicting Total, Abdominal, Visceral and Hepatic Adiposity with Circulating Biomarkers in Caucasian and Japanese American Women (Biomarker Predictors of Fat Distribution)
  • Autore: Lim, Unhee ; Turner, Stephen D ; Franke, Adrian A ; Cooney, Robert V ; Wilkens, Lynne R ; Ernst, Thomas ; Albright, Cheryl L ; Novotny, Rachel ; Chang, Linda ; Kolonel, Laurence N ; Murphy, Suzanne P ; Le Marchand, Loïc
  • Altro autore/Curatore: Metze, Konradin (Editor)
  • Note di contenuto: Characterization of abdominal and intra-abdominal fat requires imaging, and thus is not feasible in large epidemiologic studies. ; We investigated whether biomarkers may complement anthropometry (body mass index [BMI], waist circumference [WC], and waist-hip ratio [WHR]) in predicting the size of the body fat compartments by analyzing blood biomarkers, including adipocytokines, insulin resistance markers, sex steroid hormones, lipids, liver enzymes and gastro-neuropeptides. ; Fasting levels of 58 blood markers were analyzed in 60 healthy, Caucasian or Japanese American postmenopausal women who underwent anthropometric measurements, dual energy X-ray absorptiometry (DXA), and abdominal magnetic resonance imaging. Total, abdominal, visceral and hepatic adiposity were predicted based on anthropometry and the biomarkers using Random Forest models. ; Total body fat was well predicted by anthropometry alone (R = 0.85), by the 5 best predictors from the biomarker model alone (leptin, leptin-adiponectin ratio [LAR], free estradiol, plasminogen activator inhibitor-1 [PAI1], alanine transaminase [ALT]; R = 0.69), or by combining these 5 biomarkers with anthropometry (R = 0.91). Abdominal adiposity (DXA trunk-to-periphery fat ratio) was better predicted by combining the two types of predictors (R = 0.58) than by anthropometry alone (R = 0.53) or the 5 best biomarkers alone (25(OH)-vitamin D, insulin-like growth factor binding protein-1 [IGFBP1], uric acid, soluble leptin receptor [sLEPR], Coenzyme Q10; R = 0.35). Similarly, visceral fat was slightly better predicted by combining the predictors (R = 0.68) than by anthropometry alone (R = 0.65) or the 5 best biomarker predictors alone (leptin, C-reactive protein [CRP], LAR, lycopene, vitamin D; R = 0.58). Percent liver fat was predicted better by the 5 best biomarker predictors (insulin, sex hormone binding globulin [SHBG], LAR, alpha-tocopherol, PAI1; R = 0.42) or by combining the predictors (R = 0.44) than by anthropometry alone (R = 0.29). ; The predictive ability of anthropometry for body fat distribution may be enhanced by measuring a small number of biomarkers. Studies to replicate these data in men and other ethnic groups are warranted.
  • Fa parte di: 2012, Vol.7(8), p.e43502
  • Soggetti: Research Article ; Medicine ; Public Health And Epidemiology ; Pathology ; Women's Health ; Gastroenterology And Hepatology
  • Lingua: Inglese
  • Tipo: Articolo
  • Identificativo: E-ISSN: 1932-6203 ; DOI: 10.1371/journal.pone.0043502

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