Unknown,Transcriptomics,Genomics,Proteomics

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Disruption of transkingdom communication by antibiotics leads to immune and mitochondrial dysfunction in the gut


ABSTRACT: We analyzed the effects of antibiotics using a popular model of gut microbiota depletion in mice by a cocktail of antibiotics. We combined intestinal transcriptome together with metagenomic analysis of the gut microbiota to develop a new bioinformatics approach that probes the links between microbial components and host functions. We found that most antibiotic-induced alterations can be explained by three factors: depletion of the microbiota; direct effects of antibiotics on host tissues; and the effects of remaining antibiotic-resistant microbes. While microbe depletion led to down-regulation of immunity, the two other factors primarily inhibited mitochondrial gene expression and amounts of active mitochondria, and induced cell death. By reconstructing and analyzing a transkingdom network, we discovered that these toxic effects were mediated by virulence/quorum sensing in antibiotic-resistant bacteria. This SuperSeries is composed of the SubSeries listed below. Refer to individual Series

ORGANISM(S): Mus musculus

SUBMITTER: Natalia Shulzhenko 

PROVIDER: E-GEOD-60568 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

Uncovering effects of antibiotics on the host and microbiota using transkingdom gene networks.

Morgun Andrey A   Dzutsev Amiran A   Dong Xiaoxi X   Greer Renee L RL   Sexton D Joseph DJ   Ravel Jacques J   Schuster Martin M   Hsiao William W   Matzinger Polly P   Shulzhenko Natalia N  

Gut 20150122 11


<h4>Objective</h4>Despite widespread use of antibiotics for the treatment of life-threatening infections and for research on the role of commensal microbiota, our understanding of their effects on the host is still very limited.<h4>Design</h4>Using a popular mouse model of microbiota depletion by a cocktail of antibiotics, we analysed the effects of antibiotics by combining intestinal transcriptome together with metagenomic analysis of the gut microbiota. In order to identify specific microbes a  ...[more]

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