Chen L Y, Yang X, Ru H H, Yang H J, Yan S Q, Ma L, Chen J O, Yang R, Xu L
Dispensary for Tuberculosis Control and Prevention, Yunnan Center for Disease Control and Prevention, Kunming 650022, China.
Zhonghua Yu Fang Yi Xue Za Zhi. 2018 Jan 6;52(1):62-67. doi: 10.3760/cma.j.issn.0253-9624.2018.01.012.
To understand the characteristics of genotypes of Mycobacterium tuberculosis isolates in Yunnan province, and provide the molecular epidemiological evidence for prevention and control of tuberculosis in Yunnan Province. Mycobacterium Tuberculosis isolates were collected from 6 prefectures of Yunnan province in 2014 and their Genetypes of Mycobacterium tuberculosis isolates were obtained using spoligotyping and multiple locus variable numbers of tandem repeats analysis (MLVA). The results of spoligotyping were entered into the SITVITWEB database to obtain the Spoligotyping International Type (SIT) patterns and the sublineages of MTB isolates. The genoyping patterns were clustered with BioNumerics (version 5.0). A total of 271 MTB isolates represented patients were collected from six prefectures in Yunnan province. Out of these patients, 196 (72.3%) were male. The mean age of the patients was (41.9±15.1) years. The most MTB isolates were from Puer, totally 94 iusolates(34.69%). Spoligotyping analysis revealed that 151 (55.72%) MTB isolates belonged to the Beijing genotype, while the other 120 (44.28%) were from non-Beijing genotype; 40 genotypes were consisted of 24 unique genotypes and 16 clusters. The 271 isolates were differentiated into 30 clusters (2 to 17 isolates per cluster) and 177 unique genotypes, showing a clustering rate of 23.62%. Beijing genotype strains showed higher clustering rate than non-Beijing genotype strains (29.14% vs 16.67%). The HGI of 12-locus VNTR in total MTB strains, Beijing genotype strains and non-Beijing genotype was 0.993, 0.982 and 0.995 respectively. The Beijing genotype was the predominant genotype in Yunnan Province, the characteristics of Mycobacterium tuberculosis showed high genetic diversity. The genotyping data reflect the potential recent ongoing transmission in some area, which highlights the urgent need for early diagnosis and treatment of the infectious TB cases, to cut off the transmission and avoid a large TB outbreak.
为了解云南省结核分枝杆菌分离株的基因型特征，为云南省结核病防控提供分子流行病学依据。2014年从云南省6个州收集结核分枝杆菌分离株，采用间隔寡核苷酸分型（spoligotyping）和多位点可变数目串联重复序列分析（MLVA）方法获得结核分枝杆菌分离株的基因型。将间隔寡核苷酸分型结果录入SITVITWEB数据库，以获得结核分枝杆菌分离株的间隔寡核苷酸分型国际类型（SIT）模式和亚分支。用BioNumerics（5.0版）对基因分型模式进行聚类分析。共收集了来自云南省6个州的271例结核分枝杆菌分离株代表患者。在这些患者中，196例（72.3%）为男性。患者的平均年龄为（41.9±15.1）岁。结核分枝杆菌分离株最多的来自普洱，共94株（34.69%）。间隔寡核苷酸分型分析显示，151株（55.72%）结核分枝杆菌分离株属于北京基因型，其余120株（44.28%）来自非北京基因型；40种基因型由24种独特基因型和16个聚类组成。271株分离株分为30个聚类（每个聚类2至17株）和177种独特基因型，聚类率为23.62%。北京基因型菌株的聚类率高于非北京基因型菌株（29.14%对16.67%）。12位点VNTR在总结核分枝杆菌菌株、北京基因型菌株和非北京基因型菌株中的Hunter-Gaston指数（HGI）分别为0.993、0.982和0.995。北京基因型是云南省的主要基因型，结核分枝杆菌具有高度的遗传多样性。基因分型数据反映了某些地区近期可能存在的传播情况，这突出表明迫切需要对传染性结核病病例进行早期诊断和治疗，以切断传播并避免大规模结核病暴发。
