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

Author:

Huang Hairong1,Ding Nan2,Yang Tingting23,Li Cuidan23,Jia Xinmiao4,Wang Guirong1,Zhong Jun2,Zhang Ju2,Jiang Guanglu1,Wang Shuqi1,Zong Zhaojing1,Jing Wei1,Zhao Yongliang35,Xu Shaofa16,Chen Fei237

Affiliation:

1. National Clinical Laboratory on Tuberculosis, Beijing Key Laboratory on Drug-resistant Tuberculosis Research, Beijing Chest Hospital, Capital Medical University, Beijing Tuberculosis and Thoracic Tumor Institute

2. Chinese Academy of Sciences Key Laboratory of Genome Sciences & Information, Beijing Institute of Genomics

3. University of Chinese Academy of Sciences

4. Central Research Laboratory, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences

5. Chinese Academy of Sciences Key Laboratory of Genomic and Precision Medicine, Beijing Institute of Genomics

6. National Center for Tuberculosis Control and Prevention, Chinese Center for Disease Prevention and Control, Beijing

7. Collaborative Innovation Center for Genetics and Development, Shanghai, China

Abstract

AbstractBackgroundThe 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.MethodsWe 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.ResultsEpidemiological/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.ConclusionsOur 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.

Funder

National Natural Science Foundation of China

National Science and Technology Major Project

Beijing Natural Science Foundation

Beijing Municipal Science & Technology Commission

Beijing Municipal Administration of Hospitals’ Ascent Plan

Publisher

Oxford University Press (OUP)

Subject

Infectious Diseases,Microbiology (medical)

Reference39 articles.

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2. Mycobacterium tuberculosis whole genome sequences from Southern India suggest novel resistance mechanisms and the need for region-specific diagnostics;Manson;Clin Infect Dis,2017

3. National survey of tuberculosis prevalence in Viet Nam;Hoa;Bull World Health Organ,2010

4. Cross-sectional studies of tuberculosis prevalence in Cambodia between 2002 and 2011;Mao;Bull World Health Organ,2014

5. Genome-wide analysis of multi- and extensively drug-resistant Mycobacterium tuberculosis;Coll;Nat Genet,2018

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