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Antibiotic resistance in chronic respiratory diseases: from susceptibility testing to the resistome

The development of resistome analysis, i.e. the comprehensive analysis of antibiotic-resistance genes (ARGs), is enabling a better understanding of the mechanisms of antibiotic-resistance emergence. The respiratory microbiome is a dynamic and interactive network of bacteria, with a set of ARGs that...

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Autores principales: Pailhoriès, Hélène, Herrmann, Jean-Louis, Velo-Suarez, Lourdes, Lamoureux, Claudie, Beauruelle, Clémence, Burgel, Pierre-Régis, Héry-Arnaud, Geneviève
Formato: Online Artículo Texto
Lenguaje:English
Publicado: European Respiratory Society 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489181/
https://www.ncbi.nlm.nih.gov/pubmed/35613743
http://dx.doi.org/10.1183/16000617.0259-2021
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author Pailhoriès, Hélène
Herrmann, Jean-Louis
Velo-Suarez, Lourdes
Lamoureux, Claudie
Beauruelle, Clémence
Burgel, Pierre-Régis
Héry-Arnaud, Geneviève
author_facet Pailhoriès, Hélène
Herrmann, Jean-Louis
Velo-Suarez, Lourdes
Lamoureux, Claudie
Beauruelle, Clémence
Burgel, Pierre-Régis
Héry-Arnaud, Geneviève
author_sort Pailhoriès, Hélène
collection PubMed
description The development of resistome analysis, i.e. the comprehensive analysis of antibiotic-resistance genes (ARGs), is enabling a better understanding of the mechanisms of antibiotic-resistance emergence. The respiratory microbiome is a dynamic and interactive network of bacteria, with a set of ARGs that could influence the response to antibiotics. Viruses such as bacteriophages, potential carriers of ARGs, may also form part of this respiratory resistome. Chronic respiratory diseases (CRDs) such as cystic fibrosis, severe asthma, chronic obstructive pulmonary disease and bronchiectasis, managed with long-term antibiotic therapies, lead to multidrug resistance. Antibiotic susceptibility testing provides a partial view of the bacterial response to antibiotics in the complex lung environment. Assessing the ARG network would allow personalised, targeted therapeutic strategies and suitable antibiotic stewardship in CRDs, depending on individual resistome and microbiome signatures. This review summarises the influence of pulmonary antibiotic protocols on the respiratory microbiome, detailing the variable consequences according to antibiotic class and duration of treatment. The different resistome-profiling methods are explained to clarify their respective place in antibiotic-resistance analysis in the lungs. Finally, this review details current knowledge on the respiratory resistome related to therapeutic strategies and provides insight into the application of resistome analysis to counter the emergence of multidrug-resistant respiratory pathogens.
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spelling pubmed-94891812022-11-14 Antibiotic resistance in chronic respiratory diseases: from susceptibility testing to the resistome Pailhoriès, Hélène Herrmann, Jean-Louis Velo-Suarez, Lourdes Lamoureux, Claudie Beauruelle, Clémence Burgel, Pierre-Régis Héry-Arnaud, Geneviève Eur Respir Rev Reviews The development of resistome analysis, i.e. the comprehensive analysis of antibiotic-resistance genes (ARGs), is enabling a better understanding of the mechanisms of antibiotic-resistance emergence. The respiratory microbiome is a dynamic and interactive network of bacteria, with a set of ARGs that could influence the response to antibiotics. Viruses such as bacteriophages, potential carriers of ARGs, may also form part of this respiratory resistome. Chronic respiratory diseases (CRDs) such as cystic fibrosis, severe asthma, chronic obstructive pulmonary disease and bronchiectasis, managed with long-term antibiotic therapies, lead to multidrug resistance. Antibiotic susceptibility testing provides a partial view of the bacterial response to antibiotics in the complex lung environment. Assessing the ARG network would allow personalised, targeted therapeutic strategies and suitable antibiotic stewardship in CRDs, depending on individual resistome and microbiome signatures. This review summarises the influence of pulmonary antibiotic protocols on the respiratory microbiome, detailing the variable consequences according to antibiotic class and duration of treatment. The different resistome-profiling methods are explained to clarify their respective place in antibiotic-resistance analysis in the lungs. Finally, this review details current knowledge on the respiratory resistome related to therapeutic strategies and provides insight into the application of resistome analysis to counter the emergence of multidrug-resistant respiratory pathogens. European Respiratory Society 2022-05-25 /pmc/articles/PMC9489181/ /pubmed/35613743 http://dx.doi.org/10.1183/16000617.0259-2021 Text en Copyright ©The authors 2022 https://creativecommons.org/licenses/by-nc/4.0/This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0. For commercial reproduction rights and permissions contact permissions@ersnet.org (mailto:permissions@ersnet.org)
spellingShingle Reviews
Pailhoriès, Hélène
Herrmann, Jean-Louis
Velo-Suarez, Lourdes
Lamoureux, Claudie
Beauruelle, Clémence
Burgel, Pierre-Régis
Héry-Arnaud, Geneviève
Antibiotic resistance in chronic respiratory diseases: from susceptibility testing to the resistome
title Antibiotic resistance in chronic respiratory diseases: from susceptibility testing to the resistome
title_full Antibiotic resistance in chronic respiratory diseases: from susceptibility testing to the resistome
title_fullStr Antibiotic resistance in chronic respiratory diseases: from susceptibility testing to the resistome
title_full_unstemmed Antibiotic resistance in chronic respiratory diseases: from susceptibility testing to the resistome
title_short Antibiotic resistance in chronic respiratory diseases: from susceptibility testing to the resistome
title_sort antibiotic resistance in chronic respiratory diseases: from susceptibility testing to the resistome
topic Reviews
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9489181/
https://www.ncbi.nlm.nih.gov/pubmed/35613743
http://dx.doi.org/10.1183/16000617.0259-2021
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