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中国防痨杂志 ›› 2026, Vol. 48 ›› Issue (6): 856-864.doi: 10.19982/j.issn.1000-6621.20250458

• 论著 • 上一篇    下一篇

中国西北五省结核分枝杆菌耐药基因突变特征分析

蒋学峰1, 周临军2, 孙焱3, 蒋明霞4, 马玲5, 梅蠡6, 刘东鑫7()   

  1. 1 宁夏回族自治区第四人民医院, 银川 750021
    2 新疆维吾尔自治区喀什地区肺科医院, 喀什 844000
    3 陕西省疾病预防控制中心结核病麻风病预防控制所, 西安 710054
    4 青海省疾病预防控制中心结核病预防控制所, 西宁 810000
    5 甘肃省疾病预防控制中心结核病预防控制所, 兰州 730000
    6 北京市疾病预防控制中心结核病预防控制所, 北京 100035
    7 中国疾病预防控制中心实验室管理处, 北京 102206
  • 收稿日期:2025-11-24 出版日期:2026-06-10 发布日期:2026-05-25
  • 通信作者: 刘东鑫 E-mail:liucommon@126.com
  • 基金资助:
    宁夏自然科学基金项目(2024AAC05094);甘肃省自然科学基金项目(22JR5RA712)

Analysis of drug resistance gene mutation characteristics in Mycobacterium tuberculosis strains from five northwestern provinces of China

Jiang Xuefeng1, Zhou Linjun2, Sun Yan3, Jiang Mingxia4, Ma Ling5, Mei Li6, Liu Dongxin7()   

  1. 1 The Fourth People’s Hospital of Ningxia Hui Autonomous Region, Yinchuan 750021, China
    2 Pulmonary Hospital of Kashi Region, Xinjiang Uygur Autonomous Region, Kashgar 844000, China
    3 Tuberculosis and Leprosy Prevention and Control Institute, Shaanxi Center for Disease Control and Prevention, Xi’an 710054, China
    4 Tuberculosis Prevention and Control Institute, Qinghai Provincial Center for Disease Control and Prevention, Xining 810000, China
    5 Tuberculosis Prevention and Control Institute, Gansu Provincial Center for Disease Control and Prevention, Lanzhou 730000, China
    6 Tuberculosis Prevention and Control Institute, Beijing Municipal Center for Disease Control and Prevention, Beijing 100035, China
    7 Laboratory Management Office, Chinese Center for Disease Control and Prevention, Beijing 102206, China
  • Received:2025-11-24 Online:2026-06-10 Published:2026-05-25
  • Contact: Liu Dongxin E-mail:liucommon@126.com
  • Supported by:
    Natural Science Foundation of Ningxia(2024AAC05094);Natural Science Foundation of Gansu Province(22JR5RA712)

摘要:

目的: 分析中国西北五省结核分枝杆菌(Mycobacterium tuberculosis,MTB)的耐药相关基因突变特征,评估全基因组测序(whole genome sequencing,WGS)技术预测表型耐药性的效能,探讨现有快速分子诊断方法在该地区的适用性,为区域耐药结核病防控提供科学依据。方法: 收集2013—2022年间来自陕西省、甘肃省、宁夏回族自治区、青海省、新疆维吾尔自治区的2125株MTB临床分离株,采用微孔板法对利福平、异烟肼等13种抗结核药物进行表型药物敏感性试验(简称“表型药敏试验”),同时进行WGS与耐药基因突变分析。以表型药敏结果为金标准,分析WGS预测表型耐药的敏感度和特异度,分析区域耐药突变特征谱与快速分子诊断方法未覆盖位点。结果: 在1716株获得表型药敏结果的菌株中,利福平和异烟肼的耐药占比分别为5.30%(91/1716)和10.72%(184/1716)。WGS预测利福平、异烟肼、乙胺丁醇、阿米卡星、卡那霉素、左氧氟沙星、莫西沙星、乙硫异烟胺、贝达喹啉、氯法齐明和链霉素的敏感度分别为96.74%(89/92)、72.83%(134/184)、67.92%(36/53)、5/6、7/8、54.84%(17/31)、59.09%(13/22)、80.00%(24/30)、1/8、23.08%(3/13)和97.22%(35/36),特异度均高于98.34%。西北地区利福平和异烟肼最主要的耐药突变分别是rpoB_Ser450Leu(58.16%,57/98)和katG_Ser315Thr(68.71%,101/147),但同样存在rpoB_Ser450Trp、katG_Ser315Ile、katG_Pro429fs、rpoB_His445_Lys446delinsGln等一些稀有突变。快速分子检测方法对利福平、异烟肼、氟喹诺酮类药物耐药位点的覆盖率分别为97.94%(95/97)、93.01%(133/143)和78.95%(15/19)。结论: WGS对中国西北地区MTB传统抗结核药物耐药性的预测价值较高,该地区存在较多稀有突变位点,提示需进一步扩展分子诊断方法的靶点覆盖范围,以提升耐药分子诊断的准确率,从而阻断耐药结核病的传播。

关键词: 分枝杆菌, 结核, 抗药性, 基因, 突变

Abstract:

Objective: To analyze the characteristics of drug resistance-related gene mutations in Mycobacterium tuberculosis (MTB) isolated from five provinces in Northwest China, evaluate the efficacy of whole genome sequencing (WGS) technology in predicting phenotypic drug resistance, explore the applicability of existing rapid molecular diagnostic methods in this region, and provide scientific basis for the prevention and control of regional drug-resistant tuberculosis. Methods: From 2013 to 2022, 2125 clinical isolates of MTB were collected from Shaanxi Province, Gansu Province, Ningxia Hui Autonomous Region, Qinghai Province, and Xinjiang Uygur Autonomous Region. Phenotypic drug susceptibility testing was performed using the microplate method for 13 anti-tuberculosis drugs. Simultaneously, WGS and drug resistance gene mutation analysis were conducted. Taking the phenotypic drug susceptibility results as the gold standard, the sensitivity and specificity of WGS in predicting phenotypic drug resistance were analyzed. Additionally, the regional drug resistance mutation spectrum and sites not covered by rapid molecular diagnostic methods were analyzed. Results: Among the 1716 strains with phenotypic drug susceptibility results, the resistance rates of rifampin and isoniazid were 5.30% (91/1716) and 10.72% (184/1716), respectively. WGS predicted the sensitivity of rifampin, isoniazid, ethambutol, amikacin, kanamycin, levofloxacin, moxifloxacin, ethionamide, bedaquiline, clofazimine, and streptomycin to be 96.74% (89/92), 72.83% (134/184), 67.92% (36/53), 5/6, 7/8, 54.84% (17/31), 59.09% (13/22), 80.00% (24/30), 1/8, 23.08% (3/13), and 97.22% (35/36), respectively, with specificities all exceeding 98.34%. The most prevalent resistance mutations to rifampin and isoniazid in the northwest region were rpoB_Ser450Leu (58.16%, 57/98) and katG_Ser315Thr (68.71%, 101/147), respectively, but there were also some rare mutations such as rpoB_Ser450Trp, katG_Ser315Ile, katG_Pro429fs, rpoB_His445_Lys446delinsGln. The coverage rates of rapid molecular detection methods for resistance loci of rifampin, isoniazid, and fluoroquinolones were 97.94% (95/97), 93.01% (133/143), and 78.95% (15/19), respectively. Conclusion: WGS has a high predictive value for the resistance of MTB to traditional anti-tuberculosis drugs in Northwest China. The presence of numerous rare mutation sites in this region suggests the need to further expand the target coverage of molecular diagnostic methods to improve the accuracy of drug-resistant molecular diagnosis, thereby blocking the transmission of drug-resistant tuberculosis.

Key words: Mycobacterium tuberculosis, Drug resistance, Genes, Mutation

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