2020-2023年江西省耐药监测点结核分枝杆菌的分子流行特征

Molecular epidemiological characteristics of Mycobacterium tuberculosis in drug resistance surveillance areas in Jiangxi, 2020−2023

  • 摘要:
    目的 对江西省国家耐药监测点分离的结核分枝杆菌进行基因分型研究,了解江西省结核分枝杆菌的分子流行特征及耐药相关性,为结核病的防治策略制定提供科学依据。
    方法 收集2020—2023年连续4年内3个国家级耐药监测点分离的结核分枝杆菌,利用散在分布重复单元及可变数目串联重复序列分型方法(MIRU-VNTR)进行基因分型,计算菌株成簇率和分析近期传播规律,识别基因型与成簇性和耐药性的关系。
    结果 691株结核分枝杆菌经VNTR9+3分型呈现672个基因型(658株为独特基因型,14个基因簇),成簇率为4.78%,近期感染率最小估计值为2.75%。 Ⅰ群是江西省3个耐药监测点的优势菌群,占比高达78.15%北京基因型与利福平、链霉素和氧氟沙星的耐药性有关联。
    结论 江西省3个耐药监测点结核病患者主要由内源性复燃造成,防控机构应强化患者规范治疗,充分筛查潜伏性结核感染者并开展预防性治疗;同时转变患者发现策略,主动发现传染源,以实现早发现早治疗,及时切断传染源。

     

    Abstract:
    Objective To analyze the molecular epidemiological characteristics and drug resistance profiles of Mycobacterium tuberculosis isolates from drug resistance surveillance areas in Jiangxi province, provide evidence for the development of targeted tuberculosis prevention and control strategies.
    Methods  A total of 691 M. tuberculosis isolates from three national drug-resistant surveillance areas during 2020−2023 were collected. Genotyping was conducted by using Mycobacterium interspersed repetitive unit-variable number tandem repeat (MIRU-VNTR) to determine the clustering rate and recent transmission dynamics, and the relationship between genotype and clustering as well as drug resistance.
    Results The 691 isolates were classified into 658 unique genotypes and 14 gene clusters by VNTR9+3. The overall clustering rate was 4.78%, with a minimum estimated recent infection rate of 2.75%. Group I was the predominant genotype group in the three drug resistance surveillance areas in Jiangxi, accounting for 78.15%. Beijing genotype showed significant associations with resistance to rifampicin, streptomycin, and ofloxacin.
    Conclusion The tuberculosis patients identified in the three drug resistance surveillance areas in Jiangxi were mainly ones due to endogenous reactivation. It is important for prevention and control institutions to enhance the standardized treatment protocols for these patients, conduct comprehensive screening for latent infections for the effective preventive treatment, and improve screening strategy for active infection source finding to facilitate early detection and timely treatment, thereby effectively interrupting the transmission at its source.

     

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