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Assessing Adherence to Healthy Dietary Habits Through the Urinary Food Metabolome: Results From a European Two-Center Study.
Castellano-Escuder, Pol; González-Domínguez, Raúl; Vaillant, Marie-France; Casas-Agustench, Patricia; Hidalgo-Liberona, Nicole; Estanyol-Torres, Núria; Wilson, Thomas; Beckmann, Manfred; Lloyd, Amanda J; Oberli, Marion; Moinard, Christophe; Pison, Christophe; Borel, Jean-Christian; Joyeux-Faure, Marie; Sicard, Mariette; Artemova, Svetlana; Terrisse, Hugo; Dancer, Paul; Draper, John; Sánchez-Pla, Alex; Andres-Lacueva, Cristina.
Afiliação
  • Castellano-Escuder P; Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XIA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.
  • González-Domínguez R; CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain.
  • Vaillant MF; Statistics and Bioinformatics Research Group, Department of Genetics, Microbiology and Statistics, University of Barcelona, Barcelona, Spain.
  • Casas-Agustench P; Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XIA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.
  • Hidalgo-Liberona N; CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain.
  • Estanyol-Torres N; Laboratory of Fundamental and Applied Bioenergetics, Inserm1055, Grenoble, France.
  • Wilson T; Service Hospitalier Universitaire Pneumologie Physiologie, CHU Grenoble Alpes, Grenoble, France.
  • Beckmann M; Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XIA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.
  • Lloyd AJ; CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain.
  • Oberli M; Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XIA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.
  • Moinard C; CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain.
  • Pison C; Nutrimetabolomics Laboratory, Department of Nutrition, Food Sciences and Gastronomy, XIA, INSA, Faculty of Pharmacy and Food Sciences, University of Barcelona, Barcelona, Spain.
  • Borel JC; CIBER Fragilidad y Envejecimiento Saludable (CIBERfes), Instituto de Salud Carlos III, Madrid, Spain.
  • Joyeux-Faure M; Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom.
  • Sicard M; Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom.
  • Artemova S; Institute of Biological, Environmental and Rural Sciences, Aberystwyth University, Aberystwyth, United Kingdom.
  • Terrisse H; Groupe SEB, Lyon, France.
  • Dancer P; Laboratory of Fundamental and Applied Bioenergetics, Inserm1055, Grenoble, France.
  • Draper J; Laboratory of Fundamental and Applied Bioenergetics, Inserm1055, Grenoble, France.
  • Sánchez-Pla A; Service Hospitalier Universitaire Pneumologie Physiologie, CHU Grenoble Alpes, Grenoble, France.
  • Andres-Lacueva C; Université Grenoble Alpes, Grenoble, France.
Front Nutr ; 9: 880770, 2022.
Article em En | MEDLINE | ID: mdl-35757242
ABSTRACT

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 ß ≠ 0).

Conclusion:

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 www.ClinicalTrials.gov, Identifier NCT03169088.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article