Nanopore sequencing for precise detection of Mycobacterium tuberculosis and drug resistance: a retrospective multicenter study in China.

IF 6.1 2区 医学 Q1 MICROBIOLOGY
Journal of Clinical Microbiology Pub Date : 2025-04-09 Epub Date: 2025-03-19 DOI:10.1128/jcm.01813-24
Shanshan Yu, Ning Liu, Zhouhua Xie, Yi Zeng, Hua Wang, Qian Wang, Peibo Li, Haoran Li, Jinhao Sun, Qingdong Zhu, Weiwei Gao, Hongcang Gu, Fuyou Liu, Peisong Xu, Yunfei Wang, Liang Li, Yu Pang
{"title":"Nanopore sequencing for precise detection of <i>Mycobacterium tuberculosis</i> and drug resistance: a retrospective multicenter study in China.","authors":"Shanshan Yu, Ning Liu, Zhouhua Xie, Yi Zeng, Hua Wang, Qian Wang, Peibo Li, Haoran Li, Jinhao Sun, Qingdong Zhu, Weiwei Gao, Hongcang Gu, Fuyou Liu, Peisong Xu, Yunfei Wang, Liang Li, Yu Pang","doi":"10.1128/jcm.01813-24","DOIUrl":null,"url":null,"abstract":"<p><p>Tuberculosis (TB) management in endemic regions often grapples with resource constraints, including the scarcity of <i>Mycobacterium tuberculosis</i> (<i>M.tb</i>) culture laboratories. The emergence of <i>M.tb</i> strains with complex drug resistance profiles necessitates rapid and comprehensive drug susceptibility testing (DST) to guide patient treatment. However, traditional phenotypic DST (pDST) for <i>M.tb</i> is costly and time-consuming. In this study, we retrospectively enrolled 829 participants from six specialized TB treatment hospitals in China from September 2022 to July 2023. The diagnostic performance of TBseq test, a targeted-nanopore sequencing assay, was compared head-to-head with <i>M.tb</i> culture, acid-fast bacillus smear, quantitative polymerase chain reaction, and Xpert MTB/RIF Ultra by using clinical diagnosis as the reference standard. Subsequently, pDST for seven anti-TB drugs (rifampicin, isoniazid, ethambutol, streptomycin, levofloxacin, amikacin, and capreomycin) was performed. The resistance predictions provided by the TBseq test were compared with pDST results, which were used as a reference standard. The performance estimates of TBseq test were quantified through sensitivity, specificity, positive predictive value, negative predictive value, and the area under the receiver operating characteristic curve (AUC), providing a comprehensive assessment of its diagnostic accuracy. We found that TBseq test demonstrated significantly superior diagnostic performance for TB compared to other methods, achieving a sensitivity of 90.9% (95% CI: 88.9%-93.0%), specificity of 93.0% (95% CI: 97.2%-99.5%), and an AUC of 0.92 (95% CI: 0.876-0.963). TBseq test also exhibited robust predictive capabilities for drug resistance to the seven anti-TB drugs, with sensitivity and specificity consistently above 90% for all drugs. The AUC values ranged from 0.919 to 0.998, indicative of high diagnostic accuracy in forecasting drug resistance.IMPORTANCEOur results show that TBseq test offers excellent identification performance for tuberculosis (TB), significantly outperforming <i>Mycobacterium tuberculosis</i> (<i>M.tb)</i> culture, acid-fast bacillus (AFB) smear, qPCR, and Xpert MTB/RIF. Its diagnostic accuracy for anti-TB drug resistance is also superior, with sensitivity and specificity above 90% for all drugs tested. This method can be integrated into routine clinical diagnostic workflows, enabling early diagnosis and reporting of drug resistance simultaneously.</p>","PeriodicalId":15511,"journal":{"name":"Journal of Clinical Microbiology","volume":" ","pages":"e0181324"},"PeriodicalIF":6.1000,"publicationDate":"2025-04-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Clinical Microbiology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1128/jcm.01813-24","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/19 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"MICROBIOLOGY","Score":null,"Total":0}
引用次数: 0

Abstract

Tuberculosis (TB) management in endemic regions often grapples with resource constraints, including the scarcity of Mycobacterium tuberculosis (M.tb) culture laboratories. The emergence of M.tb strains with complex drug resistance profiles necessitates rapid and comprehensive drug susceptibility testing (DST) to guide patient treatment. However, traditional phenotypic DST (pDST) for M.tb is costly and time-consuming. In this study, we retrospectively enrolled 829 participants from six specialized TB treatment hospitals in China from September 2022 to July 2023. The diagnostic performance of TBseq test, a targeted-nanopore sequencing assay, was compared head-to-head with M.tb culture, acid-fast bacillus smear, quantitative polymerase chain reaction, and Xpert MTB/RIF Ultra by using clinical diagnosis as the reference standard. Subsequently, pDST for seven anti-TB drugs (rifampicin, isoniazid, ethambutol, streptomycin, levofloxacin, amikacin, and capreomycin) was performed. The resistance predictions provided by the TBseq test were compared with pDST results, which were used as a reference standard. The performance estimates of TBseq test were quantified through sensitivity, specificity, positive predictive value, negative predictive value, and the area under the receiver operating characteristic curve (AUC), providing a comprehensive assessment of its diagnostic accuracy. We found that TBseq test demonstrated significantly superior diagnostic performance for TB compared to other methods, achieving a sensitivity of 90.9% (95% CI: 88.9%-93.0%), specificity of 93.0% (95% CI: 97.2%-99.5%), and an AUC of 0.92 (95% CI: 0.876-0.963). TBseq test also exhibited robust predictive capabilities for drug resistance to the seven anti-TB drugs, with sensitivity and specificity consistently above 90% for all drugs. The AUC values ranged from 0.919 to 0.998, indicative of high diagnostic accuracy in forecasting drug resistance.IMPORTANCEOur results show that TBseq test offers excellent identification performance for tuberculosis (TB), significantly outperforming Mycobacterium tuberculosis (M.tb) culture, acid-fast bacillus (AFB) smear, qPCR, and Xpert MTB/RIF. Its diagnostic accuracy for anti-TB drug resistance is also superior, with sensitivity and specificity above 90% for all drugs tested. This method can be integrated into routine clinical diagnostic workflows, enabling early diagnosis and reporting of drug resistance simultaneously.

纳米孔测序精确检测结核分枝杆菌和耐药性:一项中国多中心回顾性研究。
结核病流行地区的结核病管理常常面临资源限制,包括缺乏结核分枝杆菌培养实验室。具有复杂耐药谱的结核分枝杆菌菌株的出现需要快速和全面的药敏试验(DST)来指导患者治疗。然而,传统的结核分枝杆菌表型DST (pDST)既昂贵又耗时。在这项研究中,我们从2022年9月至2023年7月,回顾性地招募了来自中国六家结核病专科医院的829名参与者。以临床诊断为参考标准,将靶向纳米孔测序TBseq检测与结核分枝杆菌培养、抗酸芽孢杆菌涂片、定量聚合酶链反应、Xpert MTB/RIF Ultra进行对比。随后,对7种抗结核药物(利福平、异烟肼、乙胺丁醇、链霉素、左氧氟沙星、阿米卡星和卷曲霉素)进行pDST检测。将TBseq试验提供的耐药预测结果与pDST结果进行比较,作为参考标准。通过敏感性、特异性、阳性预测值、阴性预测值、受试者工作特征曲线下面积(AUC)等指标对TBseq试验的性能进行量化,全面评价其诊断准确性。我们发现TBseq检测对结核病的诊断性能明显优于其他方法,灵敏度为90.9% (95% CI: 88.9%-93.0%),特异性为93.0% (95% CI: 97.2%-99.5%), AUC为0.92 (95% CI: 0.876-0.963)。TBseq检测对7种抗结核药物的耐药性也具有较强的预测能力,对所有药物的敏感性和特异性均在90%以上。AUC范围为0.919 ~ 0.998,预测耐药的诊断准确率较高。结果表明TBseq检测对结核(TB)具有良好的鉴定性能,显著优于结核分枝杆菌(M.tb)培养、抗酸杆菌(AFB)涂片、qPCR和Xpert MTB/RIF。它对抗结核耐药的诊断准确性也较好,对所有被测药物的敏感性和特异性均在90%以上。该方法可纳入常规临床诊断工作流程,实现早期诊断和耐药性报告同时进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal of Clinical Microbiology
Journal of Clinical Microbiology 医学-微生物学
CiteScore
17.10
自引率
4.30%
发文量
347
审稿时长
3 months
期刊介绍: The Journal of Clinical Microbiology® disseminates the latest research concerning the laboratory diagnosis of human and animal infections, along with the laboratory's role in epidemiology and the management of infectious diseases.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信