Literature DB >> 27374808

High-fiber and high-protein diets shape different gut microbial communities, which ecologically behave similarly under stress conditions, as shown in a gastrointestinal simulator.

Massimo Marzorati1, Ramiro Vilchez-Vargas1, Julie Vanden Bussche2, Pilar Truchado1, Ruy Jauregui3, Racha Ahmad El Hage1, Dietmar H Pieper3, Lynn Vanhaecke2, Tom Van de Wiele1.   

Abstract

The aim of this work was to investigate the relationship between the structure of gut microbial communities fed with different diets (i.e. high-protein-HP- versus high-fiber-HF-diet) and their functional stability when challenged with mild and acute doses of a mix of amoxicillin, ciprofloxacin, and tetracycline. We made use of the Simulator of the Human Intestinal Microbial Ecosystem (SHIME®)-a continuous model of the gastrointestinal tract-coupled with 16S-targeted Illumina and metabolomics (i.e. UHPLC-HRMS) analyses. Independently of the diet, the sudden exposure to an acute stress led to a modification of the microbial community structure, selecting for species belonging to Bacillus spp.; Clostridium cluster XIVa; Enterococci; Bacteroides; and Enterobacteriaceae. The antibiotic treatment led to a decrease in the number of operational taxonomic units (at least -10%). Cluster analysis of untargeted metabolic data showed that the antibiotic treatment affected the microbial activity. The impact on metabolites production was lower when the community was preexposed to mild doses of the antibiotic mix. This effect was stronger in the proximal colon for the HF diet and in the distal colon for the HP diet. Different diets shaped different gut microbial communities, which ecologically behaved similarly under stress conditions.
© 2016 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

Entities:  

Keywords:  Antibiotic; Functionality; Gastrointestinal tract; SHIME®; Stress

Mesh:

Substances:

Year:  2016        PMID: 27374808     DOI: 10.1002/mnfr.201600150

Source DB:  PubMed          Journal:  Mol Nutr Food Res        ISSN: 1613-4125            Impact factor:   5.914


  10 in total

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  10 in total

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