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Whole-genome sequencing of Mycobacterium tuberculosis for prediction of drug resistance
Whole-genome sequencing (WGS) has shown tremendous potential in rapid diagnosis of drug-resistant tuberculosis (TB). In the current study, we performed WGS on drug-resistant Mycobacterium tuberculosis isolates obtained from Shanghai (n = 137) and Russia (n = 78). We aimed to characterise the underly...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Cambridge University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851352/ https://www.ncbi.nlm.nih.gov/pubmed/35086603 http://dx.doi.org/10.1017/S095026882100279X |
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author | Wang, Luqi Yang, Jinghui Chen, Liang Wang, Weibing Yu, Fangyou Xiong, Haiyan |
author_facet | Wang, Luqi Yang, Jinghui Chen, Liang Wang, Weibing Yu, Fangyou Xiong, Haiyan |
author_sort | Wang, Luqi |
collection | PubMed |
description | Whole-genome sequencing (WGS) has shown tremendous potential in rapid diagnosis of drug-resistant tuberculosis (TB). In the current study, we performed WGS on drug-resistant Mycobacterium tuberculosis isolates obtained from Shanghai (n = 137) and Russia (n = 78). We aimed to characterise the underlying and high-frequency novel drug-resistance-conferring mutations, and also create valuable combinations of resistance mutations with high predictive sensitivity to predict multidrug- and extensively drug-resistant tuberculosis (MDR/XDR-TB) phenotype using a bootstrap method. Most strains belonged to L2.2, L4.2, L4.4, L4.5 and L4.8 lineages. We found that WGS could predict 82.07% of phenotypically drug-resistant domestic strains. The prediction sensitivity for rifampicin (RIF), isoniazid (INH), ethambutol (EMB), streptomycin (STR), ofloxacin (OFL), amikacin (AMK) and capreomycin (CAP) was 79.71%, 86.30%, 76.47%, 88.37%, 83.33%, 70.00% and 70.00%, respectively. The mutation combination with the highest sensitivity for MDR prediction was rpoB S450L + rpoB H445A/P + katG S315T + inhA I21T + inhA S94A, with a sensitivity of 92.17% (0.8615, 0.9646), and the mutation combination with highest sensitivity for XDR prediction was rpoB S450L + katG S315T + gyrA D94G + rrs A1401G, with a sensitivity of 92.86% (0.8158, 0.9796). The molecular information presented here will be of particular value for the rapid clinical detection of MDR- and XDR-TB isolates through laboratory diagnosis. |
format | Online Article Text |
id | pubmed-8851352 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Cambridge University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-88513522022-03-04 Whole-genome sequencing of Mycobacterium tuberculosis for prediction of drug resistance Wang, Luqi Yang, Jinghui Chen, Liang Wang, Weibing Yu, Fangyou Xiong, Haiyan Epidemiol Infect Original Paper Whole-genome sequencing (WGS) has shown tremendous potential in rapid diagnosis of drug-resistant tuberculosis (TB). In the current study, we performed WGS on drug-resistant Mycobacterium tuberculosis isolates obtained from Shanghai (n = 137) and Russia (n = 78). We aimed to characterise the underlying and high-frequency novel drug-resistance-conferring mutations, and also create valuable combinations of resistance mutations with high predictive sensitivity to predict multidrug- and extensively drug-resistant tuberculosis (MDR/XDR-TB) phenotype using a bootstrap method. Most strains belonged to L2.2, L4.2, L4.4, L4.5 and L4.8 lineages. We found that WGS could predict 82.07% of phenotypically drug-resistant domestic strains. The prediction sensitivity for rifampicin (RIF), isoniazid (INH), ethambutol (EMB), streptomycin (STR), ofloxacin (OFL), amikacin (AMK) and capreomycin (CAP) was 79.71%, 86.30%, 76.47%, 88.37%, 83.33%, 70.00% and 70.00%, respectively. The mutation combination with the highest sensitivity for MDR prediction was rpoB S450L + rpoB H445A/P + katG S315T + inhA I21T + inhA S94A, with a sensitivity of 92.17% (0.8615, 0.9646), and the mutation combination with highest sensitivity for XDR prediction was rpoB S450L + katG S315T + gyrA D94G + rrs A1401G, with a sensitivity of 92.86% (0.8158, 0.9796). The molecular information presented here will be of particular value for the rapid clinical detection of MDR- and XDR-TB isolates through laboratory diagnosis. Cambridge University Press 2022-01-07 /pmc/articles/PMC8851352/ /pubmed/35086603 http://dx.doi.org/10.1017/S095026882100279X Text en © The Author(s) 2022 https://creativecommons.org/licenses/by-nc-sa/4.0/This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike licence (http://creativecommons.org/licenses/by-nc-sa/4.0), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the same Creative Commons licence is used to distribute the re-used or adapted article and the original article is properly cited. The written permission of Cambridge University Press must be obtained prior to any commercial use. |
spellingShingle | Original Paper Wang, Luqi Yang, Jinghui Chen, Liang Wang, Weibing Yu, Fangyou Xiong, Haiyan Whole-genome sequencing of Mycobacterium tuberculosis for prediction of drug resistance |
title | Whole-genome sequencing of Mycobacterium tuberculosis for prediction of drug resistance |
title_full | Whole-genome sequencing of Mycobacterium tuberculosis for prediction of drug resistance |
title_fullStr | Whole-genome sequencing of Mycobacterium tuberculosis for prediction of drug resistance |
title_full_unstemmed | Whole-genome sequencing of Mycobacterium tuberculosis for prediction of drug resistance |
title_short | Whole-genome sequencing of Mycobacterium tuberculosis for prediction of drug resistance |
title_sort | whole-genome sequencing of mycobacterium tuberculosis for prediction of drug resistance |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8851352/ https://www.ncbi.nlm.nih.gov/pubmed/35086603 http://dx.doi.org/10.1017/S095026882100279X |
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