Assessing Adherence to Healthy Dietary Habits Through the Urinary Food Metabolome: Results From a European Two-Center Study
Journal article, 2022
Objectives: The aim of this study was to identify urinary metabolites that could serve as robust biomarkers of diet quality, as assessed through the Alternative Healthy Eating Index (AHEI-2010).
Design: We set up two-center samples of 160 healthy volunteers, aged between 25 and 50, living as a couple or family, with repeated urine sampling and dietary assessment at baseline, and 6 and 12 months over a year. Urine samples were subjected to large-scale metabolomics analysis for comprehensive quantitative characterization of the food-related metabolome. Then, lasso regularized regression analysis and limma univariate analysis were applied to identify those metabolites associated with the AHEI-2010, and to investigate the reproducibility of these associations over time.
Results: Several polyphenol microbial metabolites were found to be positively associated with the AHEI-2010 score; urinary enterolactone glucuronide showed a reproducible association at the three study time points [false discovery rate (FDR): 0.016, 0.014, 0.016]. Furthermore, other associations were found between the AHEI-2010 and various metabolites related to the intake of coffee, red meat and fish, whereas other polyphenol phase II metabolites were associated with higher AHEI-2010 scores at one of the three time points investigated (FDR < 0.05 or β ≠ 0).
Conclusion: We have demonstrated that urinary metabolites, and particularly microbiota-derived metabolites, could serve as reliable indicators of adherence to healthy dietary habits.
Author
Pol Castellano-Escuder
CIBER - Centro de Investigación Biomédica en Red
University of Barcelona
Raúl González-Domínguez
CIBER - Centro de Investigación Biomédica en Red
University of Barcelona
Marie-France Vaillant
Grenoble Alpes University
Patricia Casas-Agustench
University of Barcelona
CIBER - Centro de Investigación Biomédica en Red
Nicole Hidalgo-Liberona
University of Barcelona
CIBER - Centro de Investigación Biomédica en Red
Núria Estanyol-Torres
University of Barcelona
CIBER - Centro de Investigación Biomédica en Red
Thomas G. Wilson
Aberystwyth University
Manfred Beckmann
Aberystwyth University
Amanda Lloyd
Aberystwyth University
Marion Oberli
Groupe SEB
Christophe Moinard
Grenoble Alpes University
Christophe Pison
Grenoble Alpes University
Frontiers in Nutrition
2296861X (eISSN)
Vol. 9Subject Categories (SSIF 2025)
Biological Sciences
Other Natural Sciences
Areas of Advance
Life Science Engineering (2010-2018)
DOI
10.3389/fnut.2022.880770