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

被引:43
|
作者
Huang, Hairong [1 ]
Ding, Nan [2 ]
Yang, Tingting [2 ,3 ]
Li, Cuidan [2 ,3 ]
Jia, Xinmiao [4 ,5 ]
Wang, Guirong [1 ]
Zhong, Jun [2 ]
Zhang, Ju [2 ]
Jiang, Guanglu [1 ]
Wang, Shuqi [1 ]
Zong, Zhaojing [1 ]
Jing, Wei [1 ]
Zhao, Yongliang [3 ,6 ]
Xu, Shaofa [1 ,7 ]
Chen, Fei [2 ,3 ,8 ]
机构
[1] Capital Med Univ, Beijing Chest Hosp, Beijing TB & Thorac Tumor Inst, Beijing Key Lab Drug Resistant TB Res,Nat Clin La, Beijing, Peoples R China
[2] Chinese Acad Sci, Beijing Inst Genom, Key Lab Genome Sci & Informat, Beijing, Peoples R China
[3] Univ Chinese Acad Sci, Beijing, Peoples R China
[4] Peking Union Med Coll Hosp, Peking Union Med Coll, Cent Res Lab, Beijing, Peoples R China
[5] Chinese Acad Med Sci, Beijing, Peoples R China
[6] Chinese Acad Sci, Beijing Inst Genom, Key Lab Genom & Precis Med, Beijing, Peoples R China
[7] Chinese Ctr Dis Prevent & Control, Natl Ctr TB Control & Prevent, Beijing, Peoples R China
[8] Collaborat Innovat Ctr Genet & Dev, Shanghai, Peoples R China
基金
北京市自然科学基金; 中国国家自然科学基金;
关键词
multidrug-resistant tuberculosis; whole-genome sequencing; drug resistance; epidemiological study; Bayesian skyline; NATIONAL-SURVEY; EVOLUTION; PREVALENCE;
D O I
10.1093/cid/ciy883
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
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.
引用
收藏
页码:405 / 413
页数:9
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