Please use this identifier to cite or link to this item: http://hdl.handle.net/2445/69557
Title: An NMR-based metabolomics approach reveals a combined-biomarkers model in a wine interventional trial with validation in free-living individuals of the PREDIMED study
Author: Vázquez Fresno, Rosa
Llorach Asunción, Rafael
Urpí Sardà, Mireia
Khymenets, Olha
Bulló, Mònica
Corella Piquer, Dolores
Fitó, Montserrat
Martínez-González, Miguel Ángel, 1957-
Estruch Riba, Ramon
Andrés Lacueva, Ma. Cristina
Keywords: Vi
Ressonància magnètica nuclear
Marcadors bioquímics
Nutrició
Metabòlits
Wine
Nuclear magnetic resonance
Biochemical markers
Nutrition
Metabolites
Issue Date: 11-Aug-2014
Publisher: Springer Science + Business Media
Abstract: The development of robust biomarkers of consumption would improve the classification of participants with regard to their dietary exposure. In addition, validation of them in free-living individuals remains an important challenge. The aim of this study is to assess wine intake biomarkers using an NMR metabolomic approach to measure the utility of these biomarkers in a wine interventional study (WIS, n = 56) and also to evaluate them in a free-living individuals (PREDIMED study, n = 91). Nine metabolites showed a significantly higher presence in urinary excretion in WIS after wine intake: five food metabolome metabolites (tartrate, ethyl glucuronide [EtG], 2,3-butanediol, mannitol, and ethanol); one related to the endogenous response to wine exposure (3-methyl-2-oxovalerate) and three unidentified compounds. Receiver operating characteristic (ROC) curve for each single metabolite were evaluated and exhibited areas under the curves (AUC) between 67.4 and 86.3 % when they were evaluated individually. Then, a logistic regression model was fitted to generate a combined-biomarkers model using these metabolites. The model generated which included tartrate-EtG, showed an AUC of 90.7 % in WIS. Similarly, the AUC in the PREDIMED study was 92.4 %. Results showed that a model combining tartrate-EtG is more useful for evaluating exposure to wine than single biomarkers, both in interventional studies and epidemiological data. To our knowledge, this is the first time that a combined-biomarker model using an NMR platform in wine biomarkers' research has been generated and reproduced in a free-living population.
Note: Versió postprint del document publicat a: http://dx.doi.org/10.1007/s11306-014-0735-x
It is part of: Metabolomics, 2014, vol. 11, num. 4, p. 797-806
Related resource: http://dx.doi.org/10.1007/s11306-014-0735-x
URI: http://hdl.handle.net/2445/69557
ISSN: 1573-3882
Appears in Collections:Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)
Articles publicats en revistes (Medicina)

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