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Antibiotic-Induced Disruption of Gut Microbiota Alters Local Metabolomes and Immune Responses

Gut microbiome plays an essential role in modulating host immune responses. However, little is known about the interaction of microbiota, their metabolites and relevant inflammatory responses in the gut. By treating the mice with three different antibiotics (enrofloxacin, vancomycin, and polymixin B...

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Autores principales: Sun, Lin, Zhang, Xiaoyan, Zhang, Yuxiao, Zheng, Kai, Xiang, Qiaoyan, Chen, Ning, Chen, Zhiyun, Zhang, Nan, Zhu, Junping, He, Qiushui
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491449/
https://www.ncbi.nlm.nih.gov/pubmed/31069173
http://dx.doi.org/10.3389/fcimb.2019.00099
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author Sun, Lin
Zhang, Xiaoyan
Zhang, Yuxiao
Zheng, Kai
Xiang, Qiaoyan
Chen, Ning
Chen, Zhiyun
Zhang, Nan
Zhu, Junping
He, Qiushui
author_facet Sun, Lin
Zhang, Xiaoyan
Zhang, Yuxiao
Zheng, Kai
Xiang, Qiaoyan
Chen, Ning
Chen, Zhiyun
Zhang, Nan
Zhu, Junping
He, Qiushui
author_sort Sun, Lin
collection PubMed
description Gut microbiome plays an essential role in modulating host immune responses. However, little is known about the interaction of microbiota, their metabolites and relevant inflammatory responses in the gut. By treating the mice with three different antibiotics (enrofloxacin, vancomycin, and polymixin B sulfate), we aimed to investigate the effects of different antibiotics exposure on gut microbiota, microbial metabolism, inflammation responses in the gut, and most importantly, pinpoint the underlying interactions between them. Although the administration of different antibiotics can lead to different effects on mouse models, the treatment did not affect the average body weight of the mice. A heavier caecum was observed in vancomycin treated mice. Treatment by these three antibiotics significantly up-regulated gene expression of various cytokines in the colon. Enrofloxacin treated mice seemed to have an increased Th1 response in the colon. However, such a difference was not found in mice treated by vancomycin or polymixin B sulfate. Vancomycin treatment induced significant changes in bacterial composition at phylum and family level and decreased richness and diversity at species level. Enrofloxacin treatment only induced changes in composition at family presenting as an increase in Prevotellaceae and Rikenellaceae and a decrease in Bacteroidaceae. However, no significant difference was observed after polymixin B sulfate treatment. When compared with the control group, significant metabolic shift was found in the enrofloxacin and vancomycin treated group. The metabolic changes mainly occurred in Valine, leucine, and isoleucine biosynthesis pathway and beta-Alanine metabolism in enrofloxacin treated group. For vancomycin treatment metabolic changes were mainly found in beta-Alanine metabolism and Alanine, aspartate and glutamate metabolism pathway. Moreover, modifications observed in the microbiota compositions were correlated with the metabolite concentrations. For example, concentration of pentadecanoic acid was positively correlated with richness of Rikenellaceae and Prevotellaceae and negatively correlated with Enterobacteriaceae. This study suggests that the antibiotic-induced changes in gut microbiota might contribute to the inflammation responses through the alternation of metabolic status, providing a novel insight regarding a complex network that integrates the different interactions between gut microbiota, metabolic functions, and immune responses in host.
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spelling pubmed-64914492019-05-08 Antibiotic-Induced Disruption of Gut Microbiota Alters Local Metabolomes and Immune Responses Sun, Lin Zhang, Xiaoyan Zhang, Yuxiao Zheng, Kai Xiang, Qiaoyan Chen, Ning Chen, Zhiyun Zhang, Nan Zhu, Junping He, Qiushui Front Cell Infect Microbiol Cellular and Infection Microbiology Gut microbiome plays an essential role in modulating host immune responses. However, little is known about the interaction of microbiota, their metabolites and relevant inflammatory responses in the gut. By treating the mice with three different antibiotics (enrofloxacin, vancomycin, and polymixin B sulfate), we aimed to investigate the effects of different antibiotics exposure on gut microbiota, microbial metabolism, inflammation responses in the gut, and most importantly, pinpoint the underlying interactions between them. Although the administration of different antibiotics can lead to different effects on mouse models, the treatment did not affect the average body weight of the mice. A heavier caecum was observed in vancomycin treated mice. Treatment by these three antibiotics significantly up-regulated gene expression of various cytokines in the colon. Enrofloxacin treated mice seemed to have an increased Th1 response in the colon. However, such a difference was not found in mice treated by vancomycin or polymixin B sulfate. Vancomycin treatment induced significant changes in bacterial composition at phylum and family level and decreased richness and diversity at species level. Enrofloxacin treatment only induced changes in composition at family presenting as an increase in Prevotellaceae and Rikenellaceae and a decrease in Bacteroidaceae. However, no significant difference was observed after polymixin B sulfate treatment. When compared with the control group, significant metabolic shift was found in the enrofloxacin and vancomycin treated group. The metabolic changes mainly occurred in Valine, leucine, and isoleucine biosynthesis pathway and beta-Alanine metabolism in enrofloxacin treated group. For vancomycin treatment metabolic changes were mainly found in beta-Alanine metabolism and Alanine, aspartate and glutamate metabolism pathway. Moreover, modifications observed in the microbiota compositions were correlated with the metabolite concentrations. For example, concentration of pentadecanoic acid was positively correlated with richness of Rikenellaceae and Prevotellaceae and negatively correlated with Enterobacteriaceae. This study suggests that the antibiotic-induced changes in gut microbiota might contribute to the inflammation responses through the alternation of metabolic status, providing a novel insight regarding a complex network that integrates the different interactions between gut microbiota, metabolic functions, and immune responses in host. Frontiers Media S.A. 2019-04-24 /pmc/articles/PMC6491449/ /pubmed/31069173 http://dx.doi.org/10.3389/fcimb.2019.00099 Text en Copyright © 2019 Sun, Zhang, Zhang, Zheng, Xiang, Chen, Chen, Zhang, Zhu and He. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Cellular and Infection Microbiology
Sun, Lin
Zhang, Xiaoyan
Zhang, Yuxiao
Zheng, Kai
Xiang, Qiaoyan
Chen, Ning
Chen, Zhiyun
Zhang, Nan
Zhu, Junping
He, Qiushui
Antibiotic-Induced Disruption of Gut Microbiota Alters Local Metabolomes and Immune Responses
title Antibiotic-Induced Disruption of Gut Microbiota Alters Local Metabolomes and Immune Responses
title_full Antibiotic-Induced Disruption of Gut Microbiota Alters Local Metabolomes and Immune Responses
title_fullStr Antibiotic-Induced Disruption of Gut Microbiota Alters Local Metabolomes and Immune Responses
title_full_unstemmed Antibiotic-Induced Disruption of Gut Microbiota Alters Local Metabolomes and Immune Responses
title_short Antibiotic-Induced Disruption of Gut Microbiota Alters Local Metabolomes and Immune Responses
title_sort antibiotic-induced disruption of gut microbiota alters local metabolomes and immune responses
topic Cellular and Infection Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6491449/
https://www.ncbi.nlm.nih.gov/pubmed/31069173
http://dx.doi.org/10.3389/fcimb.2019.00099
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