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Whole genome sequencing and prediction of antimicrobial susceptibilities in non-tuberculous mycobacteria

Non-tuberculous mycobacteria (NTM) are opportunistic pathogens commonly causing chronic, pulmonary disease which is notoriously hard to treat. Current treatment for NTM infections involves at least three active drugs (including one macrolide: clarithromycin or azithromycin) over 12 months or longer....

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Autores principales: Solanki, Priya, Lipman, Marc, McHugh, Timothy D., Satta, Giovanni
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745125/
https://www.ncbi.nlm.nih.gov/pubmed/36523832
http://dx.doi.org/10.3389/fmicb.2022.1044515
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author Solanki, Priya
Lipman, Marc
McHugh, Timothy D.
Satta, Giovanni
author_facet Solanki, Priya
Lipman, Marc
McHugh, Timothy D.
Satta, Giovanni
author_sort Solanki, Priya
collection PubMed
description Non-tuberculous mycobacteria (NTM) are opportunistic pathogens commonly causing chronic, pulmonary disease which is notoriously hard to treat. Current treatment for NTM infections involves at least three active drugs (including one macrolide: clarithromycin or azithromycin) over 12 months or longer. At present there are limited phenotypic in vitro drug susceptibility testing options for NTM which are standardised globally. As seen with tuberculosis, whole genome sequencing has the potential to transform drug susceptibility testing in NTM, by utilising a genotypic approach. The Comprehensive Resistance Prediction for Tuberculosis is a database used to predict Mycobacterium tuberculosis resistance: at present there are no similar databases available to accurately predict NTM resistance. Recent studies have shown concordance between phenotypic and genotypic NTM resistance results. To benefit from the advantages of whole genome sequencing, further advances in resistance prediction need to take place, as well as there being better information on novel drug mutations and an understanding of the impact of whole genome sequencing on NTM treatment outcomes.
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spelling pubmed-97451252022-12-14 Whole genome sequencing and prediction of antimicrobial susceptibilities in non-tuberculous mycobacteria Solanki, Priya Lipman, Marc McHugh, Timothy D. Satta, Giovanni Front Microbiol Microbiology Non-tuberculous mycobacteria (NTM) are opportunistic pathogens commonly causing chronic, pulmonary disease which is notoriously hard to treat. Current treatment for NTM infections involves at least three active drugs (including one macrolide: clarithromycin or azithromycin) over 12 months or longer. At present there are limited phenotypic in vitro drug susceptibility testing options for NTM which are standardised globally. As seen with tuberculosis, whole genome sequencing has the potential to transform drug susceptibility testing in NTM, by utilising a genotypic approach. The Comprehensive Resistance Prediction for Tuberculosis is a database used to predict Mycobacterium tuberculosis resistance: at present there are no similar databases available to accurately predict NTM resistance. Recent studies have shown concordance between phenotypic and genotypic NTM resistance results. To benefit from the advantages of whole genome sequencing, further advances in resistance prediction need to take place, as well as there being better information on novel drug mutations and an understanding of the impact of whole genome sequencing on NTM treatment outcomes. Frontiers Media S.A. 2022-11-29 /pmc/articles/PMC9745125/ /pubmed/36523832 http://dx.doi.org/10.3389/fmicb.2022.1044515 Text en Copyright © 2022 Solanki, Lipman, McHugh and Satta. https://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 Microbiology
Solanki, Priya
Lipman, Marc
McHugh, Timothy D.
Satta, Giovanni
Whole genome sequencing and prediction of antimicrobial susceptibilities in non-tuberculous mycobacteria
title Whole genome sequencing and prediction of antimicrobial susceptibilities in non-tuberculous mycobacteria
title_full Whole genome sequencing and prediction of antimicrobial susceptibilities in non-tuberculous mycobacteria
title_fullStr Whole genome sequencing and prediction of antimicrobial susceptibilities in non-tuberculous mycobacteria
title_full_unstemmed Whole genome sequencing and prediction of antimicrobial susceptibilities in non-tuberculous mycobacteria
title_short Whole genome sequencing and prediction of antimicrobial susceptibilities in non-tuberculous mycobacteria
title_sort whole genome sequencing and prediction of antimicrobial susceptibilities in non-tuberculous mycobacteria
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9745125/
https://www.ncbi.nlm.nih.gov/pubmed/36523832
http://dx.doi.org/10.3389/fmicb.2022.1044515
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