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

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dc.contributor.author Lim, Unhee
dc.contributor.author Turner, Stephen D.
dc.contributor.author Franke, Adrian A.
dc.contributor.author Cooney, Robert V.
dc.contributor.author Wilkens, Lynne R.
dc.contributor.author Ernst, Thomas
dc.contributor.author Albright, Cheryl L.
dc.contributor.author Novotny, Rachel
dc.contributor.author Chang, Linda
dc.contributor.author Kolonel, Laurence N.
dc.contributor.author Murphy, Suzanne P.
dc.contributor.author Le Marchand, Loïc
dc.date.accessioned 2013-02-25T22:06:39Z
dc.date.available 2013-02-25T22:06:39Z
dc.date.issued 2012
dc.description.abstract Characterization of abdominal and intra-abdominal fat requires imaging, and thus is not feasible in large epidemiologic studies.
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.
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.
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).
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.
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.
dc.identifier.doi 10.1371/journal.pone.0043502
dc.identifier.uri http://hdl.handle.net/10125/26025
dc.language en-US
dc.relation.ispartof 1932-6203
dc.title Predicting total, abdominal, visceral and hepatic adiposity with circulating biomarkers in Caucasian and Japanese American women.
dc.type Article
dc.type.dcmi Text
local.identifier.alturi http://www.ncbi.nlm.nih.gov/pubmed/22912885
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