Urinary Metabolome Analysis Reveals Potential Microbiota Alteration and Electrophilic Burden Induced by High Red Meat Diet: Results from the French NutriNet‐Santé Cohort and an In Vivo Intervention Study in Rats

Author:

Mervant Loïc123ORCID,Tremblay‐Franco Marie12,Olier Maïwenn1,Jamin Emilien12,Martin Jean‐Francois12,Trouilh Lidwine4,Buisson Charline13,Naud Nathalie13,Maslo Claire1,Héliès‐Toussaint Cécile13,Fouché Edwin13,Kesse‐Guyot Emmanuelle35,Hercberg Serge35,Galan Pilar5,Deschasaux‐Tanguy Mélanie35,Touvier Mathilde35,Pierre Fabrice13,Debrauwer Laurent12,Guéraud Francoise13

Affiliation:

1. Toxalim Toulouse University INRAE ENVT INP‐Purpan UPS Toulouse 31027 France

2. MetaboHUB‐MetaToul National Infrastructure of Metabolomics and Fluxomics Toulouse 31077 France

3. French Network for Nutrition and Cancer Research (NACRe Network) Jouy‐en‐Josas 78352 France

4. Plateforme Genome et Transcriptome (GeT‐Biopuces) Toulouse Biotechnology Institute (TBI) Université ide Toulouse CNRS INRAE INSA 135 avenue de Rangueil Toulouse F‐31077 France

5. Sorbonne Paris Nord University INSERM U1153 INRAe U1125 CNAM Nutritional Epidemiology Research Team (EREN) Epidemiology and Statistics Research Center – University of Paris (CRESS) 74 rue Marcel Cachin Bobigny 93017 France

Abstract

ScopeHigh red and processed meat consumption is associated with several adverse outcomes such as colorectal cancer and overall global mortality. However, the underlying mechanisms remain debated and need to be elucidated.Methods and resultsUrinary untargeted Liquid Chromatography‐Mass Spectrometry (LC‐MS) metabolomics data from 240 subjects from the French cohort NutriNet‐Santé are analyzed. Individuals are matched and divided into three groups according to their consumption of red and processed meat: high red and processed meat consumers, non‐red and processed meat consumers, and at random group. Results are supported by a preclinical experiment where rats are fed either a high red meat or a control diet. Microbiota derived metabolites, in particular indoxyl sulfate and cinnamoylglycine, are found impacted by the high red meat diet in both studies, suggesting a modification of microbiota by the high red/processed meat diet. Rat microbiota sequencing analysis strengthens this observation. Although not evidenced in the human study, rat mercapturic acid profile concomitantly reveals an increased lipid peroxidation induced by high red meat diet.ConclusionNovel microbiota metabolites are identified as red meat consumption potential biomarkers, suggesting a deleterious effect, which could partly explain the adverse effects associated with high red and processed meat consumption.

Publisher

Wiley

Subject

Food Science,Biotechnology

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