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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...

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Autores principales: Wang, Luqi, Yang, Jinghui, Chen, Liang, Wang, Weibing, Yu, Fangyou, Xiong, Haiyan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2022
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.
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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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