4.4 Article

An NMR metabolomics approach reveals a combined-biomarkers model in a wine interventional trial with validation in free-living individuals of the PREDIMED study

期刊

METABOLOMICS
卷 11, 期 4, 页码 797-806

出版社

SPRINGER
DOI: 10.1007/s11306-014-0735-x

关键词

Biomarkers; Nutrimetabolomics; NMR; Wine; Interventional study; Cohort study

资金

  1. Ministry of Economy and Competitiveness (MINECO)
  2. DER (Fondo Europeo de Desarrollo Regional) [AGL2006-14228-C03-02/ALI, AGL2009-13906-C02-01, AGL2010-10084-E]
  3. Generalitat de Catalunya's Agency AGAUR [2014SGR1566]
  4. [PI13/01172]

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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.

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