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The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis
BACKGROUND: Molecular diagnostics are considered the most promising route to achievement of rapid, universal drug susceptibility testing for Mycobacterium tuberculosis complex (MTBC). We aimed to generate a WHO-endorsed catalogue of mutations to serve as a global standard for interpreting molecular...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier Ltd
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612554/ https://www.ncbi.nlm.nih.gov/pubmed/35373160 http://dx.doi.org/10.1016/S2666-5247(21)00301-3 |
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author | Walker, Timothy M Miotto, Paolo Köser, Claudio U Fowler, Philip W Knaggs, Jeff Iqbal, Zamin Hunt, Martin Chindelevitch, Leonid Farhat, Maha R Cirillo, Daniela Maria Comas, Iñaki Posey, James Omar, Shaheed V Peto, Timothy EA Suresh, Anita Uplekar, Swapna Laurent, Sacha Colman, Rebecca E Nathanson, Carl-Michael Zignol, Matteo Walker, Ann Sarah Crook, Derrick W Ismail, Nazir Rodwell, Timothy C |
author_facet | Walker, Timothy M Miotto, Paolo Köser, Claudio U Fowler, Philip W Knaggs, Jeff Iqbal, Zamin Hunt, Martin Chindelevitch, Leonid Farhat, Maha R Cirillo, Daniela Maria Comas, Iñaki Posey, James Omar, Shaheed V Peto, Timothy EA Suresh, Anita Uplekar, Swapna Laurent, Sacha Colman, Rebecca E Nathanson, Carl-Michael Zignol, Matteo Walker, Ann Sarah Crook, Derrick W Ismail, Nazir Rodwell, Timothy C |
author_sort | Walker, Timothy M |
collection | PubMed |
description | BACKGROUND: Molecular diagnostics are considered the most promising route to achievement of rapid, universal drug susceptibility testing for Mycobacterium tuberculosis complex (MTBC). We aimed to generate a WHO-endorsed catalogue of mutations to serve as a global standard for interpreting molecular information for drug resistance prediction. METHODS: In this systematic analysis, we used a candidate gene approach to identify mutations associated with resistance or consistent with susceptibility for 13 WHO-endorsed antituberculosis drugs. We collected existing worldwide MTBC whole-genome sequencing data and phenotypic data from academic groups and consortia, reference laboratories, public health organisations, and published literature. We categorised phenotypes as follows: methods and critical concentrations currently endorsed by WHO (category 1); critical concentrations previously endorsed by WHO for those methods (category 2); methods or critical concentrations not currently endorsed by WHO (category 3). For each mutation, we used a contingency table of binary phenotypes and presence or absence of the mutation to compute positive predictive value, and we used Fisher's exact tests to generate odds ratios and Benjamini-Hochberg corrected p values. Mutations were graded as associated with resistance if present in at least five isolates, if the odds ratio was more than 1 with a statistically significant corrected p value, and if the lower bound of the 95% CI on the positive predictive value for phenotypic resistance was greater than 25%. A series of expert rules were applied for final confidence grading of each mutation. FINDINGS: We analysed 41 137 MTBC isolates with phenotypic and whole-genome sequencing data from 45 countries. 38 215 MTBC isolates passed quality control steps and were included in the final analysis. 15 667 associations were computed for 13 211 unique mutations linked to one or more drugs. 1149 (7·3%) of 15 667 mutations were classified as associated with phenotypic resistance and 107 (0·7%) were deemed consistent with susceptibility. For rifampicin, isoniazid, ethambutol, fluoroquinolones, and streptomycin, the mutations' pooled sensitivity was more than 80%. Specificity was over 95% for all drugs except ethionamide (91·4%), moxifloxacin (91·6%) and ethambutol (93·3%). Only two resistance mutations were identified for bedaquiline, delamanid, clofazimine, and linezolid as prevalence of phenotypic resistance was low for these drugs. INTERPRETATION: We present the first WHO-endorsed catalogue of molecular targets for MTBC drug susceptibility testing, which is intended to provide a global standard for resistance interpretation. The existence of this catalogue should encourage the implementation of molecular diagnostics by national tuberculosis programmes. FUNDING: Unitaid, Wellcome Trust, UK Medical Research Council, and Bill and Melinda Gates Foundation. |
format | Online Article Text |
id | pubmed-7612554 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Elsevier Ltd |
record_format | MEDLINE/PubMed |
spelling | pubmed-76125542022-04-01 The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis Walker, Timothy M Miotto, Paolo Köser, Claudio U Fowler, Philip W Knaggs, Jeff Iqbal, Zamin Hunt, Martin Chindelevitch, Leonid Farhat, Maha R Cirillo, Daniela Maria Comas, Iñaki Posey, James Omar, Shaheed V Peto, Timothy EA Suresh, Anita Uplekar, Swapna Laurent, Sacha Colman, Rebecca E Nathanson, Carl-Michael Zignol, Matteo Walker, Ann Sarah Crook, Derrick W Ismail, Nazir Rodwell, Timothy C Lancet Microbe Articles BACKGROUND: Molecular diagnostics are considered the most promising route to achievement of rapid, universal drug susceptibility testing for Mycobacterium tuberculosis complex (MTBC). We aimed to generate a WHO-endorsed catalogue of mutations to serve as a global standard for interpreting molecular information for drug resistance prediction. METHODS: In this systematic analysis, we used a candidate gene approach to identify mutations associated with resistance or consistent with susceptibility for 13 WHO-endorsed antituberculosis drugs. We collected existing worldwide MTBC whole-genome sequencing data and phenotypic data from academic groups and consortia, reference laboratories, public health organisations, and published literature. We categorised phenotypes as follows: methods and critical concentrations currently endorsed by WHO (category 1); critical concentrations previously endorsed by WHO for those methods (category 2); methods or critical concentrations not currently endorsed by WHO (category 3). For each mutation, we used a contingency table of binary phenotypes and presence or absence of the mutation to compute positive predictive value, and we used Fisher's exact tests to generate odds ratios and Benjamini-Hochberg corrected p values. Mutations were graded as associated with resistance if present in at least five isolates, if the odds ratio was more than 1 with a statistically significant corrected p value, and if the lower bound of the 95% CI on the positive predictive value for phenotypic resistance was greater than 25%. A series of expert rules were applied for final confidence grading of each mutation. FINDINGS: We analysed 41 137 MTBC isolates with phenotypic and whole-genome sequencing data from 45 countries. 38 215 MTBC isolates passed quality control steps and were included in the final analysis. 15 667 associations were computed for 13 211 unique mutations linked to one or more drugs. 1149 (7·3%) of 15 667 mutations were classified as associated with phenotypic resistance and 107 (0·7%) were deemed consistent with susceptibility. For rifampicin, isoniazid, ethambutol, fluoroquinolones, and streptomycin, the mutations' pooled sensitivity was more than 80%. Specificity was over 95% for all drugs except ethionamide (91·4%), moxifloxacin (91·6%) and ethambutol (93·3%). Only two resistance mutations were identified for bedaquiline, delamanid, clofazimine, and linezolid as prevalence of phenotypic resistance was low for these drugs. INTERPRETATION: We present the first WHO-endorsed catalogue of molecular targets for MTBC drug susceptibility testing, which is intended to provide a global standard for resistance interpretation. The existence of this catalogue should encourage the implementation of molecular diagnostics by national tuberculosis programmes. FUNDING: Unitaid, Wellcome Trust, UK Medical Research Council, and Bill and Melinda Gates Foundation. Elsevier Ltd 2022-04 /pmc/articles/PMC7612554/ /pubmed/35373160 http://dx.doi.org/10.1016/S2666-5247(21)00301-3 Text en © 2022 The Author(s). Published by Elsevier Ltd. This is an Open Access article under the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Articles Walker, Timothy M Miotto, Paolo Köser, Claudio U Fowler, Philip W Knaggs, Jeff Iqbal, Zamin Hunt, Martin Chindelevitch, Leonid Farhat, Maha R Cirillo, Daniela Maria Comas, Iñaki Posey, James Omar, Shaheed V Peto, Timothy EA Suresh, Anita Uplekar, Swapna Laurent, Sacha Colman, Rebecca E Nathanson, Carl-Michael Zignol, Matteo Walker, Ann Sarah Crook, Derrick W Ismail, Nazir Rodwell, Timothy C The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis |
title | The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis |
title_full | The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis |
title_fullStr | The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis |
title_full_unstemmed | The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis |
title_short | The 2021 WHO catalogue of Mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis |
title_sort | 2021 who catalogue of mycobacterium tuberculosis complex mutations associated with drug resistance: a genotypic analysis |
topic | Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7612554/ https://www.ncbi.nlm.nih.gov/pubmed/35373160 http://dx.doi.org/10.1016/S2666-5247(21)00301-3 |
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