Nanopore sequencing for precise detection of <i>Mycobacterium tuberculosis</i> and drug resistance: a retrospective multicenter study in China

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.

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Publication Details

Journal
Journal of Clinical Microbiology
Published
2025-03-19
DOI
https://doi.org/10.1128/jcm.01813-24
Citations
6
Primary Topic
Mycobacterium research and diagnosis
Type
article
Field-Weighted Citation Impact
8.13
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article

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

Yu Pang, Jinhao Sun, Fuyou Liu, Shanshan Yu et al.
6 citations
Journal of Clinical Microbiology
Mycobacterium research and diagnosis
8.13
article

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

Yu Pang, Jinhao Sun, Fuyou Liu, Shanshan Yu, Hongcang Gu, Peisong Xu, Peibo Li, Haoran Li, Qian Wang, Hua Wang, Yunfei Wang, Liang Li, Zhouhua Xie, Weiwei Gao, Ning Liu, Yi Zeng, Qingdong Zhu
article en
6 citations

Abstract

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.

Journal of Clinical MicrobiologyVol. 63(4)
Capital Medical University (CN), Chinese Academy of Sciences (CN), Hefei Institutes of Physical Science (CN), The Fourth People's Hospital (CN), Hospital of Hebei Province (CN), Beijing Chest Hospital (CN), Nanjing Second Hospital (CN), Chongqing Public Health Medical Center (CN), Xi'an Chest Hospital (CN)
Good health and well-being
Openalex Percentile: Top 2%
Mycobacterium research and diagnosis
8.13
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