Dietary intervention impact on gut microbial gene richness View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2013-08

AUTHORS

Aurélie Cotillard, Sean P. Kennedy, Ling Chun Kong, Edi Prifti, Nicolas Pons, Emmanuelle Le Chatelier, Mathieu Almeida, Benoit Quinquis, Florence Levenez, Nathalie Galleron, Sophie Gougis, Salwa Rizkalla, Jean-Michel Batto, Pierre Renault, ANR MicroObes consortium, Joel Doré, Jean-Daniel Zucker, Karine Clément, Stanislav Dusko Ehrlich, ANR MicroObes consortium members, Hervé Blottière, Marion Leclerc, Catherine Juste, Tomas de Wouters, Patricia Lepage, Charlene Fouqueray, Arnaud Basdevant, Cornelieu Henegar, Cindy Godard, Marine Fondacci, Alili Rohia, Froogh Hajduch, Jean Weissenbach, Eric Pelletier, Denis Le Paslier, Jean-Pierre Gauchi, Jean-François Gibrat, Valentin Loux, Wilfrid Carré, Emmanuelle Maguin, Maarten van de Guchte, Alexandre Jamet, Fouad Boumezbeur, Séverine Layec

ABSTRACT

Complex gene-environment interactions are considered important in the development of obesity. The composition of the gut microbiota can determine the efficacy of energy harvest from food and changes in dietary composition have been associated with changes in the composition of gut microbial populations. The capacity to explore microbiota composition was markedly improved by the development of metagenomic approaches, which have already allowed production of the first human gut microbial gene catalogue and stratifying individuals by their gut genomic profile into different enterotypes, but the analyses were carried out mainly in non-intervention settings. To investigate the temporal relationships between food intake, gut microbiota and metabolic and inflammatory phenotypes, we conducted diet-induced weight-loss and weight-stabilization interventions in a study sample of 38 obese and 11 overweight individuals. Here we report that individuals with reduced microbial gene richness (40%) present more pronounced dys-metabolism and low-grade inflammation, as observed concomitantly in the accompanying paper. Dietary intervention improves low gene richness and clinical phenotypes, but seems to be less efficient for inflammation variables in individuals with lower gene richness. Low gene richness may therefore have predictive potential for the efficacy of intervention. More... »

PAGES

585

Identifiers

URI

http://scigraph.springernature.com/pub.10.1038/nature12480

DOI

http://dx.doi.org/10.1038/nature12480

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1000291686

PUBMED

https://www.ncbi.nlm.nih.gov/pubmed/23985875


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