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2015-02

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Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/108943

A metabolomics-driven approach to predict cocoa product consumption by designing a multimetabolite biomarker model in free-living subjects from the PREDIMED study

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https://doi.org/10.1002/mnfr.201400434.

Abstract

SCOPE: The aim of the current study was to apply an untargeted metabolomics strategy to characterize a model of cocoa intake biomarkers in a free-living population. METHODS AND RESULTS: An untargeted HPLC-q-ToF-MS based metabolomics approach was applied to human urine from 32 consumers of cocoa or derived products (CC) and 32 matched control subjects with no consumption of cocoa products (NC). The multivariate statistical analysis (OSC-PLS-DA) showed clear differences between CC and NC groups. The discriminant biomarkers identified were mainly related to the metabolic pathways of theobromine and polyphenols, as well as to cocoa processing. Consumption of cocoa products was also associated with reduced urinary excretions of methylglutarylcarnitine, which could be related to effects of cocoa exposure on insulin resistance. To improve the prediction of cocoa consumption, a combined urinary metabolite model was constructed. ROC curves were constructed to evaluate the model and individual metabolites. The AUC values (95% CI) for the model were 95.7% (89.8-100%) and 92.6% (81.9-100%) in training and validation sets, respectively, whereas the AUCs for individual metabolites were <90%. CONCLUSIONS: The metabolic signature of cocoa consumption in free-living subjects reveals that combining different metabolites as biomarker models improves prediction of dietary exposure to cocoa.

Subject

Marcadors bioquímics, Cacau, Cromatografia de líquids d'alta resolució, Nutrició, Polifenols, Metabolisme

Subject (English)

Biochemical markers, Cocoa, High performance liquid chromatography, Nutrition, Polyphenols, Metabolism

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Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)
Articles publicats en revistes (Medicina)

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GARCIA ALOY, Mar, et al. A metabolomics-driven approach to predict cocoa product consumption by designing a multimetabolite biomarker model in free-living subjects from the PREDIMED study. Molecular Nutrition & Food Research. 2015. Vol. 59, num. 2, pags. 212-220. ISSN 1613-4125. [consulted: 10 of June of 2026]. Available at: https://hdl.handle.net/2445/108943

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