Assessing Adherence to Healthy Dietary Habits Through the Urinary Food Metabolome: Results From a European Two-Center Study
Journal article, 2022

Background: Diet is one of the most important modifiable lifestyle factors in human health and in chronic disease prevention. Thus, accurate dietary assessment is essential for reliably evaluating adherence to healthy habits.

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. 9

Subject Categories (SSIF 2025)

Biological Sciences

Other Natural Sciences

Areas of Advance

Life Science Engineering (2010-2018)

DOI

10.3389/fnut.2022.880770

More information

Latest update

1/20/2026