Valentin Partula1,2, Stanislas Mondot3, Marion J Torres4, Emmanuelle Kesse-Guyot1, Mélanie Deschasaux1, Karen Assmann1, Paule Latino-Martel1, Camille Buscail1,5, Chantal Julia1,5, Pilar Galan1, Serge Hercberg1,5, Vincent Rouilly6,7, Stéphanie Thomas7,8, Lluis Quintana-Murci9, Matthew L Albert10, Darragh Duffy8, Olivier Lantz11,12, Mathilde Touvier1. 1. Sorbonne-Paris-Cité Research Center for Epidemiology and Statistics (CRESS), Nutritional Epidemiology Research Team (EREN) (INSERM U1153/INRA U1125/CNAM/Université Paris-XIII Nord), Bobigny, France. 2. University of Paris-VII Denis Diderot, Sorbonne-Paris-Cité University, Department of Life Sciences (SdV), Paris, France. 3. MICALIS Institute (INRA/AgroParisTech), Jouy-en-Josas, France. 4. Nutritional Epidemiology Surveillance Team (ESEN) (Santé Publique France/Université Paris-XIII Nord/CRESS), Bobigny, France. 5. Department of Public Health, Hôpital Avicenne (Hôpitaux Universitaires 93/AP-HP), Bobigny, France. 6. Center of Bioinformatics, Biostatistics and Integrative Biology, Institut Pasteur, Paris, France. 7. Center for Translation Research, Institut Pasteur, Paris, France. 8. Immunobiology of Dendritic Cells laboratory (INSERM U1223/Institut Pasteur), Paris, France. 9. Human Evolutionary Genetics laboratory (CNRS URA3012/Institut Pasteur), Paris, France. 10. Department of Cancer Immunology, Genentech Inc., San Francisco, CA, USA. 11. Curie Institute, PSL University, INSERM U932, Paris, France. 12. Clinical Investigation Center CIC-BT1428 (Institut Gustave Roussy/Institut Curie), INSERM, Paris, France.
Abstract
BACKGROUND: Diet is widely recognized as one of the main modifiable drivers of gut microbiota variability, and its influence on microbiota composition is an active area of investigation. OBJECTIVE: The present work aimed to explore the associations between usual diet and gut microbiota composition in a large sample of healthy French adults. METHODS: Gut microbiota composition was established through sequencing of the 16S rRNA gene in stool samples from 862 healthy French adults of the Milieu Intérieur study. Usual dietary consumptions were determined through the administration of a food-frequency questionnaire. The associations between dietary variables and α- and β-diversity indexes and relative taxa abundances were tested using Spearman correlations, permutational ANOVAs, and multivariate analyses with linear models, respectively. RESULTS: Foods generally considered as healthy (raw fruits, fish) were positively associated with α-diversity, whereas food items for which a limited consumption is generally recommended (fried products, sodas or sugary drinks, fatty sweet products, processed meats, ready-cooked meals, and desserts) were negatively associated with α-diversity. Fruits, fried products, ready-cooked meals, and cheese contributed to shifts within microbiota composition (β-diversity). Our results also highlighted a number of associations between various food group intakes and abundances of specific phyla, genera, and species. For instance, the consumption of cheese was negatively associated with Akkermansia muciniphila abundance. CONCLUSIONS: This large-scale population-based study supports that the usual consumption of certain food items is associated with several gut microbial features, and extends the mechanistic arguments linking Western diet to an altered microbiota composition. These results provide new insights into the understanding of complex diet-gut microbiota relations, and their implications for host health deserve further investigation because altered microbiota diversity was consistently linked to increased risk of several health outcomes. This trial was registered at clinicaltrials.gov as NCT01699893.
BACKGROUND: Diet is widely recognized as one of the main modifiable drivers of gut microbiota variability, and its influence on microbiota composition is an active area of investigation. OBJECTIVE: The present work aimed to explore the associations between usual diet and gut microbiota composition in a large sample of healthy French adults. METHODS: Gut microbiota composition was established through sequencing of the 16S rRNA gene in stool samples from 862 healthy French adults of the Milieu Intérieur study. Usual dietary consumptions were determined through the administration of a food-frequency questionnaire. The associations between dietary variables and α- and β-diversity indexes and relative taxa abundances were tested using Spearman correlations, permutational ANOVAs, and multivariate analyses with linear models, respectively. RESULTS: Foods generally considered as healthy (raw fruits, fish) were positively associated with α-diversity, whereas food items for which a limited consumption is generally recommended (fried products, sodas or sugary drinks, fatty sweet products, processed meats, ready-cooked meals, and desserts) were negatively associated with α-diversity. Fruits, fried products, ready-cooked meals, and cheese contributed to shifts within microbiota composition (β-diversity). Our results also highlighted a number of associations between various food group intakes and abundances of specific phyla, genera, and species. For instance, the consumption of cheese was negatively associated with Akkermansia muciniphila abundance. CONCLUSIONS: This large-scale population-based study supports that the usual consumption of certain food items is associated with several gut microbial features, and extends the mechanistic arguments linking Western diet to an altered microbiota composition. These results provide new insights into the understanding of complex diet-gut microbiota relations, and their implications for host health deserve further investigation because altered microbiota diversity was consistently linked to increased risk of several health outcomes. This trial was registered at clinicaltrials.gov as NCT01699893.
Authors: Deepak Selvakumar; Dolan Evans; Katharine Z Coyte; John McLaughlin; Andy Brass; Laura Hancock; Sheena Cruickshank Journal: Frontline Gastroenterol Date: 2022-06-15
Authors: Line Gaundal; Mari C W Myhrstad; Ida Rud; Terje Gjøvaag; Marte G Byfuglien; Kjetil Retterstøl; Kirsten B Holven; Stine M Ulven; Vibeke H Telle-Hansen Journal: Food Nutr Res Date: 2022-06-23 Impact factor: 3.221
Authors: Allyson L Byrd; Menghan Liu; Kei E Fujimura; Svetlana Lyalina; Deepti R Nagarkar; Bruno Charbit; Jacob Bergstedt; Etienne Patin; Oliver J Harrison; Lluís Quintana-Murci; Ira Mellman; Darragh Duffy; Matthew L Albert Journal: J Exp Med Date: 2021-01-04 Impact factor: 14.307
Authors: Annick P M van Soest; Gerben D A Hermes; Agnes A M Berendsen; Ondine van de Rest; Erwin G Zoetendal; Susana Fuentes; Aurelia Santoro; Claudio Franceschi; Lisette C P G M de Groot; Willem M de Vos Journal: Nutrients Date: 2020-11-12 Impact factor: 5.717