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应用全基因组下一代测序技术检测一株耐多药结核分枝杆菌分离株中 rpoB 基因的新型突变。

Detection of a novel mutation in the rpoB gene in a multidrug resistant Mycobacterium tuberculosis isolate using whole genome next generation sequencing.

机构信息

Department of Microbiology, Grant Govt Medical College & Sir JJ Group of Hospitals, Mumbai, India.

GenePath Diagnostics India Pvt. Ltd., Pune, India; I-SHARE Foundation, Pune, India.

出版信息

J Glob Antimicrob Resist. 2020 Sep;22:270-274. doi: 10.1016/j.jgar.2020.03.004. Epub 2020 Mar 19.

DOI:10.1016/j.jgar.2020.03.004
PMID:32200129
Abstract

BACKGROUND

Mycobacterium tuberculosis (Mtb) drug resistance is a global concern. Moreover, multiple drug resistant (MDR), extensively drug resistant (XDR), and totally drug resistant (TDR) Mtb cases are on the rise in developing countries like India. Most of these cases are identified only 3-6 months after initiation of treatment owing to incomplete/failed clinical response and incomplete information from phenotypic drug resistance assays and/or targeted Mtb mutation analysis. Here, we report the development of an in-house whole genome sequencing (WGS) assay and bioinformatics pipeline that helped resolve the phenotype-genotype discrepancy in a clinical isolate.

METHODOLOGY AND RESULTS

A sample from a suspected drug resistant Mtb case tested by line probe assay (LPA) showed the absence of both the mutant and wild type alleles for an rpoB gene mutation site. An in-house next generation sequencing (NGS) assay was used for WGS of this isolate. Bioinformatics analysis revealed that the isolate harboured a novel insertional mutation in the 81-bp hotspot region of the rpoB gene and a S315T mutation in the katG gene, which could explain resistance to rifampicin and isoniazid, respectively. These results correlated with the clinical diagnosis, LPA, solid culture drug susceptibility testing, and pyrosequencing carried out on the sample. The WGS data also provided information regarding the isolate's lineage and indicated an absence of known mutations conferring resistance to other antitubercular drugs.

CONCLUSION

WGS is a highly sensitive, specific, and unbiased approach for identification of all possible drug resistance-conferring mutations, which can help clinicians make more informed treatment-related decisions.

摘要

背景

结核分枝杆菌(Mtb)耐药性是一个全球性的问题。此外,在印度等发展中国家,耐多药(MDR)、广泛耐药(XDR)和完全耐药(TDR)结核分枝杆菌病例呈上升趋势。由于不完全/治疗失败的临床反应以及表型药物耐药性检测和/或靶向 Mtb 突变分析提供的信息不完整,大多数这些病例仅在治疗开始后 3-6 个月才能确定。在这里,我们报告了一种内部全基因组测序(WGS)检测和生物信息学分析方法的开发,该方法有助于解决临床分离株中表型与基因型的差异。

方法和结果

经线探针分析(LPA)检测的疑似耐药结核分枝杆菌病例的样本显示,rpoB 基因突变位点的突变和野生型等位基因均不存在。对该分离株进行了内部下一代测序(NGS)检测的 WGS。生物信息学分析表明,该分离株在 rpoB 基因的 81-bp 热点区域携带一个新的插入突变,以及 katG 基因中的 S315T 突变,分别可以解释对利福平的耐药性和异烟肼的耐药性。这些结果与临床诊断、LPA、固体培养药物敏感性试验以及对样本进行的焦磷酸测序相吻合。WGS 数据还提供了关于分离株谱系的信息,并表明不存在赋予对其他抗结核药物耐药的已知突变。

结论

WGS 是一种高度敏感、特异和无偏倚的方法,可用于鉴定所有可能的耐药性突变,这可以帮助临床医生做出更明智的治疗相关决策。

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