Comparative analysis of the duodenojejunal microbiome with the oral and fecal microbiomes reveals its stronger association with obesity and nutrition

The intestinal microbiota is increasingly recognized as a crucial player in the development and maintenance of various chronic conditions, including obesity and associated metabolic diseases. While most research focuses on the fecal microbiota due to its easier accessibility, the small intestine, as a major site for nutrient sensing and absorption, warrants further investigation to determine its microbiota composition and functions. Here, we conducted a clinical research project in 30 age- and sex-matched participants with (<i>n</i> = 15) and without (<i>n</i> = 15) obesity. Duodenojejunal fluid was obtained by aspiration during endoscopy. Phenotyping included clinical variables related to metabolic status, lifestyle, and psychosocial factors using validated questionnaires. We performed metagenomic analyses of the oral, duodenojejunal, and fecal microbiome, alongside metabolomic data from duodenojejunal fluid and feces, integrating these data with clinical and lifestyle information. Our results highlight significant associations between duodenojejunal microbiota composition and usual dietary intake, as well as clinical phenotypes, with larger effect sizes than the associations between these variables and fecal microbiota. Notably, we found that the duodenojejunal microbiota of patients with obesity exhibited higher diversity and showed distinct differences in the abundance of several duodenojejunal microbiota species compared with individuals without obesity. Our findings support the relevance of studying the role of the small intestinal microbiota in the pathogenesis of nutrition-related diseases.

Authors

Institutions

Publication Details

Journal
Gut Microbes
Published
2024-10-07
DOI
https://doi.org/10.1080/19490976.2024.2405547
Citations
14
Primary Topic
Diet and metabolism studies
Type
article
Field-Weighted Citation Impact
4.57

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparative analysis of the duodenojejunal microbiome with the oral and fecal microbiomes reveals its stronger association with obesity and nutrition

Laura Creusot, Rohia Alili, Benoît Chassaing, Jean-Loup Dumont et al.
14 citations
Gut Microbes
Diet and metabolism studies
4.57
article

Comparative analysis of the duodenojejunal microbiome with the oral and fecal microbiomes reveals its stronger association with obesity and nutrition

Laura Creusot, Rohia Alili, Benoît Chassaing, Jean-Loup Dumont, Filippo Pacini, Davide Masi, Laurent Genser, Melissa C. Kordahi, Charlène Dauriat, Sébastien André, Karine Clément, Eugeni Belda, Véronique Pelloux, Thierry Tuszynski, Emilie Steinbach, Solia Adriouch, Gianfranco Donatelli, Tiphaine Le Roy, Harry Sokol, Jean‐Daniel Zucker, Marta Vázquez-Gómez, Paul Taillandier, Emavieve Coles, Véronique Mateo, Christine Rouault, Flavien Jacques
article en
14 citations

Abstract

The intestinal microbiota is increasingly recognized as a crucial player in the development and maintenance of various chronic conditions, including obesity and associated metabolic diseases. While most research focuses on the fecal microbiota due to its easier accessibility, the small intestine, as a major site for nutrient sensing and absorption, warrants further investigation to determine its microbiota composition and functions. Here, we conducted a clinical research project in 30 age- and sex-matched participants with (<i>n</i> = 15) and without (<i>n</i> = 15) obesity. Duodenojejunal fluid was obtained by aspiration during endoscopy. Phenotyping included clinical variables related to metabolic status, lifestyle, and psychosocial factors using validated questionnaires. We performed metagenomic analyses of the oral, duodenojejunal, and fecal microbiome, alongside metabolomic data from duodenojejunal fluid and feces, integrating these data with clinical and lifestyle information. Our results highlight significant associations between duodenojejunal microbiota composition and usual dietary intake, as well as clinical phenotypes, with larger effect sizes than the associations between these variables and fecal microbiota. Notably, we found that the duodenojejunal microbiota of patients with obesity exhibited higher diversity and showed distinct differences in the abundance of several duodenojejunal microbiota species compared with individuals without obesity. Our findings support the relevance of studying the role of the small intestinal microbiota in the pathogenesis of nutrition-related diseases.

Gut MicrobesVol. 16(1)
Centre National de la Recherche Scientifique (FR), Inserm (FR), Institut Pasteur (FR), Université Paris Cité (FR), AgroParisTech (FR), Microbiologie de l’alimentation au service de la santé (FR), Sorbonne Université (FR), Institut National de Recherche pour l'Agriculture, l'Alimentation et l'Environnement (FR), Nutrition et obésité : approches systémiques (FR), Assistance Publique – Hôpitaux de Paris (FR), Fédération Hospitalo-Universitaire, Paris Center for Microbiome Medicine (FR), Pitié-Salpêtrière Hospital (FR), Centre de Recherche Saint-Antoine (FR), Unité de Modélisation Mathématique et Informatique des Systèmes Complexes (FR), Générale de Santé (FR), Institut de Recherche pour le Développement (FR), Sapienza University of Rome (IT)
Fondation de l'Avenir pour la Recherche Médicale Appliquée, European Commission, Agence Nationale de la Recherche, Fondation Leducq, Institut National de la Santé et de la Recherche Médicale, Société Francophone du Diabète
Zero hunger
Openalex Percentile: Top 4%
Diet and metabolism studies
4.57
DOIOpen Access PDFOpenAlex
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.