Assessing Adherence to Healthy Dietary Habits Through the Urinary Food Metabolome: Results From a European Two-Center Study.
Alternative Healthy Eating Index (AHEI-2010)
diet quality
dietary assessment
metabolomics
microbiota
Journal
Frontiers in nutrition
ISSN: 2296-861X
Titre abrégé: Front Nutr
Pays: Switzerland
ID NLM: 101642264
Informations de publication
Date de publication:
2022
2022
Historique:
received:
21
02
2022
accepted:
16
05
2022
entrez:
27
6
2022
pubmed:
28
6
2022
medline:
28
6
2022
Statut:
epublish
Résumé
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. 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). 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. 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). We have demonstrated that urinary metabolites, and particularly microbiota-derived metabolites, could serve as reliable indicators of adherence to healthy dietary habits. www.ClinicalTrials.gov, Identifier: NCT03169088.
Sections du résumé
Background
UNASSIGNED
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
UNASSIGNED
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
UNASSIGNED
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
UNASSIGNED
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
UNASSIGNED
We have demonstrated that urinary metabolites, and particularly microbiota-derived metabolites, could serve as reliable indicators of adherence to healthy dietary habits.
Clinical Trail Registration
UNASSIGNED
www.ClinicalTrials.gov, Identifier: NCT03169088.
Identifiants
pubmed: 35757242
doi: 10.3389/fnut.2022.880770
pmc: PMC9219016
doi:
Banques de données
ClinicalTrials.gov
['NCT03169088']
Types de publication
Journal Article
Langues
eng
Pagination
880770Informations de copyright
Copyright © 2022 Castellano-Escuder, González-Domínguez, Vaillant, Casas-Agustench, Hidalgo-Liberona, Estanyol-Torres, Wilson, Beckmann, Lloyd, Oberli, Moinard, Pison, Borel, Joyeux-Faure, Sicard, Artemova, Terrisse, Dancer, Draper, Sánchez-Pla and Andres-Lacueva.
Déclaration de conflit d'intérêts
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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