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Gut microbiota disturbance during antibiotic therapy: a multi-omic approach
OBJECTIVE: Antibiotic (AB) usage strongly affects microbial intestinal metabolism and thereby impacts human health. Understanding this process and the underlying mechanisms remains a major research goal. Accordingly, we conducted the first comparative omic investigation of gut microbial communities...
Autores principales: | , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BMJ Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3812899/ https://www.ncbi.nlm.nih.gov/pubmed/23236009 http://dx.doi.org/10.1136/gutjnl-2012-303184 |
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author | Pérez-Cobas, Ana Elena Gosalbes, María José Friedrichs, Anette Knecht, Henrik Artacho, Alejandro Eismann, Kathleen Otto, Wolfgang Rojo, David Bargiela, Rafael von Bergen, Martin Neulinger, Sven C Däumer, Carolin Heinsen, Femke-Anouska Latorre, Amparo Barbas, Coral Seifert, Jana dos Santos, Vitor Martins Ott, Stephan J Ferrer, Manuel Moya, Andrés |
author_facet | Pérez-Cobas, Ana Elena Gosalbes, María José Friedrichs, Anette Knecht, Henrik Artacho, Alejandro Eismann, Kathleen Otto, Wolfgang Rojo, David Bargiela, Rafael von Bergen, Martin Neulinger, Sven C Däumer, Carolin Heinsen, Femke-Anouska Latorre, Amparo Barbas, Coral Seifert, Jana dos Santos, Vitor Martins Ott, Stephan J Ferrer, Manuel Moya, Andrés |
author_sort | Pérez-Cobas, Ana Elena |
collection | PubMed |
description | OBJECTIVE: Antibiotic (AB) usage strongly affects microbial intestinal metabolism and thereby impacts human health. Understanding this process and the underlying mechanisms remains a major research goal. Accordingly, we conducted the first comparative omic investigation of gut microbial communities in faecal samples taken at multiple time points from an individual subjected to β-lactam therapy. METHODS: The total (16S rDNA) and active (16S rRNA) microbiota, metagenome, metatranscriptome (mRNAs), metametabolome (high-performance liquid chromatography coupled to electrospray ionisation and quadrupole time-of-flight mass spectrometry) and metaproteome (ultra high performing liquid chromatography coupled to an Orbitrap MS(2) instrument [UPLC-LTQ Orbitrap-MS/MS]) of a patient undergoing AB therapy for 14 days were evaluated. RESULTS: Apparently oscillatory population dynamics were observed, with an early reduction in Gram-negative organisms (day 6) and an overall collapse in diversity and possible further colonisation by ‘presumptive’ naturally resistant bacteria (day 11), followed by the re-growth of Gram-positive species (day 14). During this process, the maximum imbalance in the active microbial fraction occurred later (day 14) than the greatest change in the total microbial fraction, which reached a minimum biodiversity and richness on day 11; additionally, major metabolic changes occurred at day 6. Gut bacteria respond to ABs early by activating systems to avoid the antimicrobial effects of the drugs, while ‘presumptively’ attenuating their overall energetic metabolic status and the capacity to transport and metabolise bile acid, cholesterol, hormones and vitamins; host–microbial interactions significantly improved after treatment cessation. CONCLUSIONS: This proof-of-concept study provides an extensive description of gut microbiota responses to follow-up β-lactam therapy. The results demonstrate that ABs targeting specific pathogenic infections and diseases may alter gut microbial ecology and interactions with host metabolism at a much higher level than previously assumed. |
format | Online Article Text |
id | pubmed-3812899 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | BMJ Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-38128992013-10-31 Gut microbiota disturbance during antibiotic therapy: a multi-omic approach Pérez-Cobas, Ana Elena Gosalbes, María José Friedrichs, Anette Knecht, Henrik Artacho, Alejandro Eismann, Kathleen Otto, Wolfgang Rojo, David Bargiela, Rafael von Bergen, Martin Neulinger, Sven C Däumer, Carolin Heinsen, Femke-Anouska Latorre, Amparo Barbas, Coral Seifert, Jana dos Santos, Vitor Martins Ott, Stephan J Ferrer, Manuel Moya, Andrés Gut Gut Microbiota OBJECTIVE: Antibiotic (AB) usage strongly affects microbial intestinal metabolism and thereby impacts human health. Understanding this process and the underlying mechanisms remains a major research goal. Accordingly, we conducted the first comparative omic investigation of gut microbial communities in faecal samples taken at multiple time points from an individual subjected to β-lactam therapy. METHODS: The total (16S rDNA) and active (16S rRNA) microbiota, metagenome, metatranscriptome (mRNAs), metametabolome (high-performance liquid chromatography coupled to electrospray ionisation and quadrupole time-of-flight mass spectrometry) and metaproteome (ultra high performing liquid chromatography coupled to an Orbitrap MS(2) instrument [UPLC-LTQ Orbitrap-MS/MS]) of a patient undergoing AB therapy for 14 days were evaluated. RESULTS: Apparently oscillatory population dynamics were observed, with an early reduction in Gram-negative organisms (day 6) and an overall collapse in diversity and possible further colonisation by ‘presumptive’ naturally resistant bacteria (day 11), followed by the re-growth of Gram-positive species (day 14). During this process, the maximum imbalance in the active microbial fraction occurred later (day 14) than the greatest change in the total microbial fraction, which reached a minimum biodiversity and richness on day 11; additionally, major metabolic changes occurred at day 6. Gut bacteria respond to ABs early by activating systems to avoid the antimicrobial effects of the drugs, while ‘presumptively’ attenuating their overall energetic metabolic status and the capacity to transport and metabolise bile acid, cholesterol, hormones and vitamins; host–microbial interactions significantly improved after treatment cessation. CONCLUSIONS: This proof-of-concept study provides an extensive description of gut microbiota responses to follow-up β-lactam therapy. The results demonstrate that ABs targeting specific pathogenic infections and diseases may alter gut microbial ecology and interactions with host metabolism at a much higher level than previously assumed. BMJ Publishing Group 2013-11 2012-12-12 /pmc/articles/PMC3812899/ /pubmed/23236009 http://dx.doi.org/10.1136/gutjnl-2012-303184 Text en Published by the BMJ Publishing Group Limited. For permission to use (where not already granted under a licence) please go to http://group.bmj.com/group/rights-licensing/permissions This is an Open Access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 3.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/3.0/ |
spellingShingle | Gut Microbiota Pérez-Cobas, Ana Elena Gosalbes, María José Friedrichs, Anette Knecht, Henrik Artacho, Alejandro Eismann, Kathleen Otto, Wolfgang Rojo, David Bargiela, Rafael von Bergen, Martin Neulinger, Sven C Däumer, Carolin Heinsen, Femke-Anouska Latorre, Amparo Barbas, Coral Seifert, Jana dos Santos, Vitor Martins Ott, Stephan J Ferrer, Manuel Moya, Andrés Gut microbiota disturbance during antibiotic therapy: a multi-omic approach |
title | Gut microbiota disturbance during antibiotic therapy: a multi-omic approach |
title_full | Gut microbiota disturbance during antibiotic therapy: a multi-omic approach |
title_fullStr | Gut microbiota disturbance during antibiotic therapy: a multi-omic approach |
title_full_unstemmed | Gut microbiota disturbance during antibiotic therapy: a multi-omic approach |
title_short | Gut microbiota disturbance during antibiotic therapy: a multi-omic approach |
title_sort | gut microbiota disturbance during antibiotic therapy: a multi-omic approach |
topic | Gut Microbiota |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3812899/ https://www.ncbi.nlm.nih.gov/pubmed/23236009 http://dx.doi.org/10.1136/gutjnl-2012-303184 |
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