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Mol Nutr Food Res. 2019 Jul 10:e1900140. doi: 10.1002/mnfr.201900140. [Epub ahead of print]

Plasma Metabolites Associated with Frequent Red Wine Consumption: A Metabolomics Approach within the PREDIMED Study.

Author information

1
P. Hernández-Alonso, C. Papandreou, M. Bulló, M. Guasch-Ferré, J. Salas-Salvadó, Human Nutrition Unit, Faculty of Medicine and Health Sciences, Sant Joan Hospital, Institut d'Investigació Sanitària Pere Virgili, Rovira i Virgili University, Reus, Spain.
2
P. Hernández-Alonso, C. Papandreou, M. Bulló, M. Ruiz-Canela, M. Guasch-Ferré, E. Toledo, C. Razquin, D. Corella, R. Estruch, E. Ros, M. Fitó, F. Arós, M. Fiol, L. Serra-Majem, M. A. Martínez-González, J. Salas-Salvadó, CIBER Fisiopatología de la Obesidad y Nutrición (CIBEROBN), Instituto de Salud Carlos III, Madrid, Spain.
3
M. Ruiz-Canela, E. Toledo, C. Razquin, M. A. Martínez-González, University of Navarra, Department of Preventive Medicine and Public Health, Pamplona, Spain.
4
M. Ruiz-Canela, E. Toledo, C. Razquin, M. A. Martínez-González, Navarra Institute for Health Research (IdisNA), Pamplona, Navarra, Spain.
5
C. Dennis, A. Deik, C. B. Clish, F. B. Hu, Broad Institute of MIT and Harvard University, Cambridge, MA, USA.
6
D. D. Wang, M. Guasch-Ferré, E. Yu, M. A. Martínez-González, Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
7
D. Corella, Department of Preventive Medicine, University of Valencia, Valencia, Spain.
8
R. Estruch, Department of Internal Medicine, Department of Endocrinology and Nutrition Institut d'Investigacions Biomèdiques August Pi Sunyer (IDI- BAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain.
9
E. Ros, Lipid Clinic, Department of Endocrinology and Nutrition Institut d'Investigacions Biomèdiques August Pi Sunyer (IDI- BAPS), Hospital Clinic, University of Barcelona, Barcelona, Spain.
10
M. Fitó, Cardiovascular and Nutrition Research Group, Institut de Recerca Hospital del Mar, Barcelona, Spain.
11
F. Arós, Department of Cardiology, University Hospital of Alava, Vitoria, Spain.
12
M. Fiol, Institute of Health Sciences IUNICS, University of Balearic Islands and Hospital Son Espases, Palma de Mallorca, Spain.
13
L. Serra-Majem, Research Institute of Biomedical and Health Sciences IUIBS, University of Las Palmas de Gran Canaria, Las Palmas, Spain.
14
L. Liang, F. B. Hu, Departments of Epidemiology and Statistics, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
15
F. B. Hu, Channing Division for Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, MA, USA.

Abstract

SCOPE:

The relationship between red wine (RW) consumption and metabolism is poorly understood. We aimed to assess the systemic metabolomic profiles in relation to frequent RW consumption as well as the ability of a set of metabolites to discriminate RW consumers.

METHODS AND RESULTS:

Cross-sectional analysis of 1,157 participants. Subjects were divided as non-RW consumers versus RW consumers (> 1 glass/day RW (100 mL/day)). Plasma metabolomics analysis was performed using LC-MS. Associations between 386 identified metabolites and RW consumption were assessed using elastic net regression analysis taking into consideration baseline significant covariates. Ten-cross-validation (CV) was performed and receiver operating characteristic curves were constructed in each of the validation datasets based on weighted models. A subset of 13 metabolites was consistently selected and discriminated RW consumers versus non-consumers. Based on the multi-metabolite model weighted with the regression coefficients of metabolites, the area under the curve was 0.83 (95% CI: 0.80-0.86). These metabolites mainly consisted of lipid species (e.g. triglycerides and phosphatidylcholines), some organic acids and alkaloids.

CONCLUSIONS:

A multi-metabolite model identified in a Mediterranean population appeared useful to discriminate between frequent RW consumers and non-consumers. Further studies are needed to assess the contribution of these metabolites in health and disease. This article is protected by copyright. All rights reserved.

KEYWORDS:

LC-MS, lipidomics, red wine; metabolomics, metabolites

PMID:
31291050
DOI:
10.1002/mnfr.201900140

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