Untargeted Metabolomics Identifies Novel Potential Biomarkers of Habitual Food Intake in a Cross-Sectional Study of Postmenopausal Women

The Journal of Nutrition
Ying WangMarjorie L McCullough

Abstract

Recent studies suggest that untargeted metabolomics is a promising tool to identify novel biomarkers of individual foods. However, few large cross-sectional studies with comprehensive data on habitual diet and circulating metabolites have been conducted. We aimed to identify potential food biomarkers and evaluate their predictive accuracy. We conducted a cross-sectional analysis of consumption of 91 food groups or items, assessed by a 152-item food-frequency questionnaire, in relation to 1186 serum metabolites measured by mass spectrometry-based platforms from 1369 nonsmoking postmenopausal women (mean age = 68.3 y). Diet-metabolite associations were selected by Pearson's partial correlation analysis (P < 4.63 × 10-7, |r| > 0.2). The predictive accuracy of the selected food metabolites was evaluated from the area under the curve (AUC) calculated from receiver operating characteristic analysis conducted among women in the top and bottom quintiles of dietary intake. We identified 379 diet-metabolite associations. Forty-two food groups or items were correlated with 199 serum metabolites. We replicated 63 metabolites as biomarkers of habitual food intake reported in previous cross-sectional studies. Among those not previously shown...Continue Reading

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May 19, 2019·Nutrients·Catalina PicóAndreu Palou
Jun 9, 2019·Metabolites·Farhana R PinuJacob Jaine
Feb 14, 2020·Nutrition Research Reviews·Irina BorodinaDouglas B Kell
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Mar 21, 2021·The American Journal of Clinical Nutrition·Jean-Philippe Drouin-ChartierFrank B Hu
May 21, 2021·Advances in Nutrition·Talha RafiqPhilip Britz-McKibbin

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