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
Mervant L, Tremblay-Franco M, Olier M, Jamin E, Martin JF, Trouilh L, Buisson C, Naud N, Maslo C, Héliès-Toussaint C, Fouché E, Kesse-Guyot E, Hercberg S, Galan P, Deschasaux-Tanguy M, Touvier M, Pierre F, Debrauwer L, Guéraud F
Molecular nutrition & food research · 8 citations
Review labels
Neutral facts our review recorded about how this study was done. They describe method, never whether we like the result.
How it was studied
- Design
- Cross-sectional study (classified by our AI screen)
- Studied in
- People, plus animal or lab work
- Main outcome
- Mechanisms only
- Intake measured by
- Not stated
Who paid for it
- Funding
- Independent funding
- Government
- Agence Nationale de la Recherche
- Government
- Institut National Du Cancer
- Government
- Région Occitanie Pyrénées-Méditerranée
- Government
- Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
- Grants
- Agence Nationale de la Recherche (ANR-11-INBS); Institut National Du Cancer (PLBIO18); Agence Nationale de la Recherche (ANR-11-INBS-0010)
Based on 4 listed funder(s).
Publication
- Published
- 2023-01-17 · Mol Nutr Food Res · vol. 67 · issue 5 · p. e2200432
- Publisher
- Wiley
- Cited
- 10 citations · more than 70% of similar papers · 0.9× the field average
- References
- 75 works
- Access
- Open access (hybrid journal) · CC-BY-NC-ND
- Research areas
- Metabolomics and Mass Spectrometry Studies · Nutritional Studies and Diet · Gut microbiota and health
- Keywords
- Metabolome, Urinary system, In vivo, Medicine, Cohort, Food science, Red meat, Cohort study, Metabolomics, Biology, Metabolite, Physiology, Internal medicine, Bioinformatics, Biotechnology
- MeSH
- animals, humans, rats, diet, meat, metabolome, microbiota, red meat
19 authors
From FR
- Loïc MervantUniversité Toulouse III - Paul Sabatier; École Nationale Vétérinaire de Toulouse; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Toxicologie Alimentaire; French Clinical Research Infrastructure Network
- Marie Tremblay‐FrancoUniversité Toulouse III - Paul Sabatier; École Nationale Vétérinaire de Toulouse; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Toxicologie Alimentaire
- Maı̈wenn OlierUniversité Toulouse III - Paul Sabatier; École Nationale Vétérinaire de Toulouse; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Toxicologie Alimentaire
- Emilien L. JaminUniversité Toulouse III - Paul Sabatier; École Nationale Vétérinaire de Toulouse; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Toxicologie Alimentaire
- Jean‐François MartinUniversité Toulouse III - Paul Sabatier; École Nationale Vétérinaire de Toulouse; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement; Toxicologie Alimentaire
- Lidwine TrouilhCentre National de la Recherche Scientifique; Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement
Abstract
Scope
High 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 results
Urinary 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.
Conclusion
Novel 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.
Abstract via Europe PMC. Copyright remains with the authors or publisher (CC BY-NC-ND).
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