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Acceleration and suppression of resistance development by antibiotic combinations
BACKGROUND: The emergence and spread of antibiotic resistance in bacteria is becoming a global public health problem. Combination therapy, i.e., the simultaneous use of multiple antibiotics, is used for long-term treatment to suppress the emergence of resistant strains. However, the effect of the co...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405530/ https://www.ncbi.nlm.nih.gov/pubmed/28446153 http://dx.doi.org/10.1186/s12864-017-3718-2 |
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author | Suzuki, Shingo Horinouchi, Takaaki Furusawa, Chikara |
author_facet | Suzuki, Shingo Horinouchi, Takaaki Furusawa, Chikara |
author_sort | Suzuki, Shingo |
collection | PubMed |
description | BACKGROUND: The emergence and spread of antibiotic resistance in bacteria is becoming a global public health problem. Combination therapy, i.e., the simultaneous use of multiple antibiotics, is used for long-term treatment to suppress the emergence of resistant strains. However, the effect of the combinatorial use of multiple drugs on the development of resistance remains elusive, especially in a quantitative assessment. RESULTS: To understand the evolutionary dynamics under combination therapy, we performed laboratory evolution of Escherichia coli under simultaneous addition of two-drug combinations. We demonstrated that simultaneous addition of a certain combinations of two drugs with collateral sensitivity to each other could suppress the acquisition of resistance to both drugs. Furthermore, we found that the combinatorial use of enoxacin, a DNA replication inhibitor, with Chloramphenicol can accelerate acquisition of resistance to Chloramphenicol. Genome resequencing analyses of the evolved strains suggested that the acceleration of resistance acquisition was caused by an increase of mutation frequency when enoxacin was added. CONCLUSIONS: Integration of laboratory evolution and whole-genome sequencing enabled us to characterize the development of resistance in bacteria under combination therapy. These results provide a basis for rational selection of antibiotic combinations that suppress resistance development effectively. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3718-2) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5405530 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54055302017-04-27 Acceleration and suppression of resistance development by antibiotic combinations Suzuki, Shingo Horinouchi, Takaaki Furusawa, Chikara BMC Genomics Research Article BACKGROUND: The emergence and spread of antibiotic resistance in bacteria is becoming a global public health problem. Combination therapy, i.e., the simultaneous use of multiple antibiotics, is used for long-term treatment to suppress the emergence of resistant strains. However, the effect of the combinatorial use of multiple drugs on the development of resistance remains elusive, especially in a quantitative assessment. RESULTS: To understand the evolutionary dynamics under combination therapy, we performed laboratory evolution of Escherichia coli under simultaneous addition of two-drug combinations. We demonstrated that simultaneous addition of a certain combinations of two drugs with collateral sensitivity to each other could suppress the acquisition of resistance to both drugs. Furthermore, we found that the combinatorial use of enoxacin, a DNA replication inhibitor, with Chloramphenicol can accelerate acquisition of resistance to Chloramphenicol. Genome resequencing analyses of the evolved strains suggested that the acceleration of resistance acquisition was caused by an increase of mutation frequency when enoxacin was added. CONCLUSIONS: Integration of laboratory evolution and whole-genome sequencing enabled us to characterize the development of resistance in bacteria under combination therapy. These results provide a basis for rational selection of antibiotic combinations that suppress resistance development effectively. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12864-017-3718-2) contains supplementary material, which is available to authorized users. BioMed Central 2017-04-26 /pmc/articles/PMC5405530/ /pubmed/28446153 http://dx.doi.org/10.1186/s12864-017-3718-2 Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Suzuki, Shingo Horinouchi, Takaaki Furusawa, Chikara Acceleration and suppression of resistance development by antibiotic combinations |
title | Acceleration and suppression of resistance development by antibiotic combinations |
title_full | Acceleration and suppression of resistance development by antibiotic combinations |
title_fullStr | Acceleration and suppression of resistance development by antibiotic combinations |
title_full_unstemmed | Acceleration and suppression of resistance development by antibiotic combinations |
title_short | Acceleration and suppression of resistance development by antibiotic combinations |
title_sort | acceleration and suppression of resistance development by antibiotic combinations |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5405530/ https://www.ncbi.nlm.nih.gov/pubmed/28446153 http://dx.doi.org/10.1186/s12864-017-3718-2 |
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