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Cross-sectional Whole-genome Sequencing and Epidemiological Study of Multidrug-resistant Mycobacterium tuberculosis in China

BACKGROUND: The increase in multidrug-resistant tuberculosis (MDR-TB) severely hampers tuberculosis prevention and control in China, a country with the second highest MDR-TB burden globally. The first nationwide drug-resistant tuberculosis surveillance program provides an opportunity to comprehensiv...

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Autores principales: Huang, Hairong, Ding, Nan, Yang, Tingting, Li, Cuidan, Jia, Xinmiao, Wang, Guirong, Zhong, Jun, Zhang, Ju, Jiang, Guanglu, Wang, Shuqi, Zong, Zhaojing, Jing, Wei, Zhao, Yongliang, Xu, Shaofa, Chen, Fei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637280/
https://www.ncbi.nlm.nih.gov/pubmed/30321294
http://dx.doi.org/10.1093/cid/ciy883
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author Huang, Hairong
Ding, Nan
Yang, Tingting
Li, Cuidan
Jia, Xinmiao
Wang, Guirong
Zhong, Jun
Zhang, Ju
Jiang, Guanglu
Wang, Shuqi
Zong, Zhaojing
Jing, Wei
Zhao, Yongliang
Xu, Shaofa
Chen, Fei
author_facet Huang, Hairong
Ding, Nan
Yang, Tingting
Li, Cuidan
Jia, Xinmiao
Wang, Guirong
Zhong, Jun
Zhang, Ju
Jiang, Guanglu
Wang, Shuqi
Zong, Zhaojing
Jing, Wei
Zhao, Yongliang
Xu, Shaofa
Chen, Fei
author_sort Huang, Hairong
collection PubMed
description BACKGROUND: The increase in multidrug-resistant tuberculosis (MDR-TB) severely hampers tuberculosis prevention and control in China, a country with the second highest MDR-TB burden globally. The first nationwide drug-resistant tuberculosis surveillance program provides an opportunity to comprehensively investigate the epidemiological/drug-resistance characteristics, potential drug-resistance mutations, and effective population changes of Chinese MDR-TB. METHODS: We sequenced 357 MDR strains from 4600 representative tuberculosis-positive sputum samples collected during the survey (70 counties in 31 provinces). Drug-susceptibility testing was performed using 18 anti-tuberculosis drugs, representing the most comprehensive drug-resistance profile to date. We used 3 statistical and 1 machine-learning methods to identify drug-resistance genes/single-nucleotide polymorphisms (SNPs). We used Bayesian skyline analysis to investigate changes in effective population size. RESULTS: Epidemiological/drug-resistance characteristics showed different MDR profiles, co-resistance patterns, preferred drug combination/use, and recommended regimens among 7 Chinese administrative regions. These factors not only reflected the serious multidrug co-resistance and drug misuse but they were also potentially significant in facilitating the development of appropriate regimens for MDR-TB treatment in China. Further investigation identified 86 drug-resistance genes/intergenic regions/SNPs (58 new), providing potential targets for MDR-TB diagnosis and treatment. In addition, the effective population of Chinese MDR-TB displayed a strong expansion during 1993–2000, reflecting socioeconomic transition within the country. The phenomenon of expansion was restrained after 2000, likely attributable to the advances in diagnosis/treatment technologies and government support. CONCLUSIONS: Our findings provide an important reference and improved understanding of MDR-TB in China, which are potentially significant in achieving the goal of precision medicine with respect to MDR-TB prevention and treatment.
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spelling pubmed-66372802019-07-22 Cross-sectional Whole-genome Sequencing and Epidemiological Study of Multidrug-resistant Mycobacterium tuberculosis in China Huang, Hairong Ding, Nan Yang, Tingting Li, Cuidan Jia, Xinmiao Wang, Guirong Zhong, Jun Zhang, Ju Jiang, Guanglu Wang, Shuqi Zong, Zhaojing Jing, Wei Zhao, Yongliang Xu, Shaofa Chen, Fei Clin Infect Dis Articles and Commentaries BACKGROUND: The increase in multidrug-resistant tuberculosis (MDR-TB) severely hampers tuberculosis prevention and control in China, a country with the second highest MDR-TB burden globally. The first nationwide drug-resistant tuberculosis surveillance program provides an opportunity to comprehensively investigate the epidemiological/drug-resistance characteristics, potential drug-resistance mutations, and effective population changes of Chinese MDR-TB. METHODS: We sequenced 357 MDR strains from 4600 representative tuberculosis-positive sputum samples collected during the survey (70 counties in 31 provinces). Drug-susceptibility testing was performed using 18 anti-tuberculosis drugs, representing the most comprehensive drug-resistance profile to date. We used 3 statistical and 1 machine-learning methods to identify drug-resistance genes/single-nucleotide polymorphisms (SNPs). We used Bayesian skyline analysis to investigate changes in effective population size. RESULTS: Epidemiological/drug-resistance characteristics showed different MDR profiles, co-resistance patterns, preferred drug combination/use, and recommended regimens among 7 Chinese administrative regions. These factors not only reflected the serious multidrug co-resistance and drug misuse but they were also potentially significant in facilitating the development of appropriate regimens for MDR-TB treatment in China. Further investigation identified 86 drug-resistance genes/intergenic regions/SNPs (58 new), providing potential targets for MDR-TB diagnosis and treatment. In addition, the effective population of Chinese MDR-TB displayed a strong expansion during 1993–2000, reflecting socioeconomic transition within the country. The phenomenon of expansion was restrained after 2000, likely attributable to the advances in diagnosis/treatment technologies and government support. CONCLUSIONS: Our findings provide an important reference and improved understanding of MDR-TB in China, which are potentially significant in achieving the goal of precision medicine with respect to MDR-TB prevention and treatment. Oxford University Press 2019-08-01 2018-10-15 /pmc/articles/PMC6637280/ /pubmed/30321294 http://dx.doi.org/10.1093/cid/ciy883 Text en © The Author(s) 2019. Published by Oxford University Press for the Infectious Diseases Society of America. http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs license (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Articles and Commentaries
Huang, Hairong
Ding, Nan
Yang, Tingting
Li, Cuidan
Jia, Xinmiao
Wang, Guirong
Zhong, Jun
Zhang, Ju
Jiang, Guanglu
Wang, Shuqi
Zong, Zhaojing
Jing, Wei
Zhao, Yongliang
Xu, Shaofa
Chen, Fei
Cross-sectional Whole-genome Sequencing and Epidemiological Study of Multidrug-resistant Mycobacterium tuberculosis in China
title Cross-sectional Whole-genome Sequencing and Epidemiological Study of Multidrug-resistant Mycobacterium tuberculosis in China
title_full Cross-sectional Whole-genome Sequencing and Epidemiological Study of Multidrug-resistant Mycobacterium tuberculosis in China
title_fullStr Cross-sectional Whole-genome Sequencing and Epidemiological Study of Multidrug-resistant Mycobacterium tuberculosis in China
title_full_unstemmed Cross-sectional Whole-genome Sequencing and Epidemiological Study of Multidrug-resistant Mycobacterium tuberculosis in China
title_short Cross-sectional Whole-genome Sequencing and Epidemiological Study of Multidrug-resistant Mycobacterium tuberculosis in China
title_sort cross-sectional whole-genome sequencing and epidemiological study of multidrug-resistant mycobacterium tuberculosis in china
topic Articles and Commentaries
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6637280/
https://www.ncbi.nlm.nih.gov/pubmed/30321294
http://dx.doi.org/10.1093/cid/ciy883
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