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Evaluating Organism-Wide Changes in the Metabolome and Microbiome following a Single Dose of Antibiotic
Antibiotics are a mainstay of modern medicine, but as they kill their target pathogen(s), they often affect the commensal microbiota. Antibiotic-induced microbiome dysbiosis is a growing research focus and health concern, often assessed via analysis of fecal samples. However, such analysis does not...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Society for Microbiology
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542558/ https://www.ncbi.nlm.nih.gov/pubmed/33024048 http://dx.doi.org/10.1128/mSystems.00340-20 |
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author | Vrbanac, Alison Patras, Kathryn A. Jarmusch, Alan K. Mills, Robert H. Shing, Samuel R. Quinn, Robert A. Vargas, Fernando Gonzalez, David J. Dorrestein, Pieter C. Knight, Rob Nizet, Victor |
author_facet | Vrbanac, Alison Patras, Kathryn A. Jarmusch, Alan K. Mills, Robert H. Shing, Samuel R. Quinn, Robert A. Vargas, Fernando Gonzalez, David J. Dorrestein, Pieter C. Knight, Rob Nizet, Victor |
author_sort | Vrbanac, Alison |
collection | PubMed |
description | Antibiotics are a mainstay of modern medicine, but as they kill their target pathogen(s), they often affect the commensal microbiota. Antibiotic-induced microbiome dysbiosis is a growing research focus and health concern, often assessed via analysis of fecal samples. However, such analysis does not inform how antibiotics influence the microbiome across the whole host or how such changes subsequently alter host chemistry. In this study, we investigated the acute (1 day postadministration) and delayed (6 days postadministration) effects of a single parenteral dose of two common antibiotics, ampicillin or vancomycin, on the global metabolome and microbiome of mice across 77 different body sites from 25 different organs. The broader-spectrum agent ampicillin had the greatest impact on the microbiota in the lower gastrointestinal tract (cecum and colon), where microbial diversity is highest. In the metabolome, the greatest effects were seen 1 day posttreatment, and changes in metabolite abundances were not confined to the gut. The local abundance of ampicillin and its metabolites correlated with increased metabolome effect size and a loss of alpha diversity versus control mice. Additionally, small peptides were elevated in the lower gastrointestinal tract of mice 1 day after antibiotic treatment. While a single parenteral dose of antibiotic did not drastically alter the microbiome, nevertheless, changes in the metabolome were observed both within and outside the gut. This study provides a framework for how whole-organism -omics approaches can be employed to understand the impact of antibiotics on the entire host. IMPORTANCE We are just beginning to understand the unintended effects of antibiotics on our microbiomes and health. In this study, we aimed to define an approach by which one could obtain a comprehensive picture of (i) how antibiotics spatiotemporally impact commensal microbes throughout the gut and (ii) how these changes influence host chemistry throughout the body. We found that just a single dose of antibiotic altered host chemistry in a variety of organs and that microbiome alterations were not uniform throughout the gut. As technological advances increase the feasibility of whole-organism studies, we argue that using these approaches can provide further insight on both the wide-ranging effects of antibiotics on health and how to restore microbial communities to mitigate these effects. |
format | Online Article Text |
id | pubmed-7542558 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | American Society for Microbiology |
record_format | MEDLINE/PubMed |
spelling | pubmed-75425582020-10-27 Evaluating Organism-Wide Changes in the Metabolome and Microbiome following a Single Dose of Antibiotic Vrbanac, Alison Patras, Kathryn A. Jarmusch, Alan K. Mills, Robert H. Shing, Samuel R. Quinn, Robert A. Vargas, Fernando Gonzalez, David J. Dorrestein, Pieter C. Knight, Rob Nizet, Victor mSystems Observation Antibiotics are a mainstay of modern medicine, but as they kill their target pathogen(s), they often affect the commensal microbiota. Antibiotic-induced microbiome dysbiosis is a growing research focus and health concern, often assessed via analysis of fecal samples. However, such analysis does not inform how antibiotics influence the microbiome across the whole host or how such changes subsequently alter host chemistry. In this study, we investigated the acute (1 day postadministration) and delayed (6 days postadministration) effects of a single parenteral dose of two common antibiotics, ampicillin or vancomycin, on the global metabolome and microbiome of mice across 77 different body sites from 25 different organs. The broader-spectrum agent ampicillin had the greatest impact on the microbiota in the lower gastrointestinal tract (cecum and colon), where microbial diversity is highest. In the metabolome, the greatest effects were seen 1 day posttreatment, and changes in metabolite abundances were not confined to the gut. The local abundance of ampicillin and its metabolites correlated with increased metabolome effect size and a loss of alpha diversity versus control mice. Additionally, small peptides were elevated in the lower gastrointestinal tract of mice 1 day after antibiotic treatment. While a single parenteral dose of antibiotic did not drastically alter the microbiome, nevertheless, changes in the metabolome were observed both within and outside the gut. This study provides a framework for how whole-organism -omics approaches can be employed to understand the impact of antibiotics on the entire host. IMPORTANCE We are just beginning to understand the unintended effects of antibiotics on our microbiomes and health. In this study, we aimed to define an approach by which one could obtain a comprehensive picture of (i) how antibiotics spatiotemporally impact commensal microbes throughout the gut and (ii) how these changes influence host chemistry throughout the body. We found that just a single dose of antibiotic altered host chemistry in a variety of organs and that microbiome alterations were not uniform throughout the gut. As technological advances increase the feasibility of whole-organism studies, we argue that using these approaches can provide further insight on both the wide-ranging effects of antibiotics on health and how to restore microbial communities to mitigate these effects. American Society for Microbiology 2020-10-06 /pmc/articles/PMC7542558/ /pubmed/33024048 http://dx.doi.org/10.1128/mSystems.00340-20 Text en Copyright © 2020 Vrbanac et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Observation Vrbanac, Alison Patras, Kathryn A. Jarmusch, Alan K. Mills, Robert H. Shing, Samuel R. Quinn, Robert A. Vargas, Fernando Gonzalez, David J. Dorrestein, Pieter C. Knight, Rob Nizet, Victor Evaluating Organism-Wide Changes in the Metabolome and Microbiome following a Single Dose of Antibiotic |
title | Evaluating Organism-Wide Changes in the Metabolome and Microbiome following a Single Dose of Antibiotic |
title_full | Evaluating Organism-Wide Changes in the Metabolome and Microbiome following a Single Dose of Antibiotic |
title_fullStr | Evaluating Organism-Wide Changes in the Metabolome and Microbiome following a Single Dose of Antibiotic |
title_full_unstemmed | Evaluating Organism-Wide Changes in the Metabolome and Microbiome following a Single Dose of Antibiotic |
title_short | Evaluating Organism-Wide Changes in the Metabolome and Microbiome following a Single Dose of Antibiotic |
title_sort | evaluating organism-wide changes in the metabolome and microbiome following a single dose of antibiotic |
topic | Observation |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7542558/ https://www.ncbi.nlm.nih.gov/pubmed/33024048 http://dx.doi.org/10.1128/mSystems.00340-20 |
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