High-fiber and high-protein diets shape different gut microbial communities, which ecologically behave similarly under stress conditions, as shown in a gastrointestinal simulator.
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Authors
Marzorati, MassimoVilchez-Vargas, Ramiro
Bussche, Julie Vanden
Truchado, Pilar
Jauregui, Ruy
El Hage, Racha Ahmad
Pieper, Dietmar H
Vanhaecke, Lynn
Van de Wiele, Tom
Issue Date
2017-01
Metadata
Show full item recordAbstract
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.Citation
High-fiber and high-protein diets shape different gut microbial communities, which ecologically behave similarly under stress conditions, as shown in a gastrointestinal simulator. 2017, 61 (1) Mol Nutr Food ResAffiliation
Helmholtz-Zentrum für Infektionsforschung GmbH, Inhoffenstr. 7, 38124 Braunschweig, Germany.PubMed ID
27374808Type
ArticleLanguage
enISSN
1613-4133ae974a485f413a2113503eed53cd6c53
10.1002/mnfr.201600150
Scopus Count
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Except where otherwise noted, this item's license is described as http://creativecommons.org/licenses/by-nc-sa/4.0/