2026-04-18T00:14:09Zhttps://recercat.cat/oai/request

oai:recercat.cat:2445/695572025-11-21T05:31:11Zcom_2072_1057col_2072_478917col_2072_478921col_2072_478924

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 Vázquez Fresno, Rosa Llorach, Rafael Urpí Sardà, Mireia Khymenets, Olha Bulló, Mònica Corella Piquer, Dolores Fitó Colomer, Montserrat Martínez-González, Miguel Ángel, 1957- Estruch Riba, Ramon Andrés Lacueva, Ma. Cristina Vi Ressonància magnètica nuclear Marcadors bioquímics Nutrició Metabòlits Wine Nuclear magnetic resonance Biochemical markers Nutrition Metabolites 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. 2016-02-17T15:44:23Z 2016-02-17T15:44:23Z 2014-08-11 2016-02-17T15:44:23Z info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion 1573-3882 https://hdl.handle.net/2445/69557 647357 eng Versió postprint del document publicat a: http://dx.doi.org/10.1007/s11306-014-0735-x Metabolomics, 2014, vol. 11, num. 4, p. 797-806 http://dx.doi.org/10.1007/s11306-014-0735-x (c) Springer Science + Business Media, 2014 info:eu-repo/semantics/openAccess 10 p. application/pdf application/pdf Springer Science + Business Media Articles publicats en revistes (Nutrició, Ciències de l'Alimentació i Gastronomia)