Predicting total, abdominal, visceral and hepatic adiposity with circulating biomarkers in Caucasian and Japanese American women.

dc.contributor.author Lim, Unhee en_US
dc.contributor.author Turner, Stephen D. en_US
dc.contributor.author Franke, Adrian A. en_US
dc.contributor.author Cooney, Robert V. en_US
dc.contributor.author Wilkens, Lynne R. en_US
dc.contributor.author Ernst, Thomas en_US
dc.contributor.author Albright, Cheryl L. en_US
dc.contributor.author Novotny, Rachel en_US
dc.contributor.author Chang, Linda en_US
dc.contributor.author Kolonel, Laurence N. en_US
dc.contributor.author Murphy, Suzanne P. en_US
dc.contributor.author Le Marchand, Loïc en_US
dc.date.accessioned 2013-02-25T22:06:39Z
dc.date.available 2013-02-25T22:06:39Z
dc.date.issued 2012 en_US
dc.description.abstract Characterization of abdominal and intra-abdominal fat requires imaging, and thus is not feasible in large epidemiologic studies. en_US
dc.description.abstract 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. en_US
dc.description.abstract 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. en_US
dc.description.abstract Total body fat was well predicted by anthropometry alone (R(2) = 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(2) = 0.69), or by combining these 5 biomarkers with anthropometry (R(2) = 0.91). Abdominal adiposity (DXA trunk-to-periphery fat ratio) was better predicted by combining the two types of predictors (R(2) = 0.58) than by anthropometry alone (R(2) = 0.53) or the 5 best biomarkers alone (25(OH)-vitamin D(3), insulin-like growth factor binding protein-1 [IGFBP1], uric acid, soluble leptin receptor [sLEPR], Coenzyme Q10; R(2) = 0.35). Similarly, visceral fat was slightly better predicted by combining the predictors (R(2) = 0.68) than by anthropometry alone (R(2) = 0.65) or the 5 best biomarker predictors alone (leptin, C-reactive protein [CRP], LAR, lycopene, vitamin D(3); R(2) = 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(2) = 0.42) or by combining the predictors (R(2) = 0.44) than by anthropometry alone (R(2) = 0.29). en_US
dc.description.abstract 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. en_US
dc.identifier.citation Lim, Unhee, Stephen D. Turner, Adrian A. Franke, Robert V. Cooney, Lynne R. Wilkens, Thomas Ernst, Cheryl L. Albright, Rachel Novotny, Linda Chang, Laurence N. Kolonel, Suzanne P. Murphy, and Loic Le Marchand. "Predicting total, abdominal, visceral and hepatic adiposity with circulating biomarkers in Caucasian and Japanese American women." PLoS One 7, 8 (2012). doi: 10.1371/journal.pone.0043502. en_US
dc.identifier.doi 10.1371/journal.pone.0043502 en_US
dc.identifier.uri http://hdl.handle.net/10125/26025
dc.language en-US en_US
dc.relation.ispartof 1932-6203 en_US
dc.title Predicting total, abdominal, visceral and hepatic adiposity with circulating biomarkers in Caucasian and Japanese American women. en_US
dc.type Article en_US
dc.type.dcmi Text en_US
local.identifier.alturi http://www.ncbi.nlm.nih.gov/pubmed/22912885 en_US
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