{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,16]],"date-time":"2026-10-16T18:34:26Z","timestamp":1792175666382,"version":"4.4.0"},"reference-count":43,"publisher":"American Society for Microbiology","issue":"4","license":[{"start":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T00:00:00Z","timestamp":1744156800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T00:00:00Z","timestamp":1744156800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.asm.org\/non-commercial-tdm-license"}],"funder":[{"name":"The Capital's Funds for Health Improvement and Research","award":["2024-1-1041"],"award-info":[{"award-number":["2024-1-1041"]}]},{"name":"\u5317\u4eac\u5e02\u79d1\u5b66\u6280\u672f\u59d4\u5458\u4f1a | Beijing Nova Program","award":["20220484169 & 20230484295"],"award-info":[{"award-number":["20220484169 & 20230484295"]}]},{"name":"Beijing Hospital Authority Ascent Plan","award":["DFL20221401"],"award-info":[{"award-number":["DFL20221401"]}]}],"content-domain":{"domain":["journals.asm.org"],"crossmark-restriction":true},"short-container-title":["J Clin Microbiol"],"published-print":{"date-parts":[[2025,4,9]]},"abstract":"<jats:title>ABSTRACT<\/jats:title>\n          <jats:sec>\n            <jats:title\/>\n            <jats:p>\n              Tuberculosis (TB) management in endemic regions often grapples with resource constraints, including the scarcity of\n              <jats:italic>Mycobacterium tuberculosis<\/jats:italic>\n              (\n              <jats:italic>M.tb<\/jats:italic>\n              ) culture laboratories. The emergence of\n              <jats:italic>M.tb<\/jats:italic>\n              strains with complex drug resistance profiles necessitates rapid and comprehensive drug susceptibility testing (DST) to guide patient treatment. However, traditional phenotypic DST (pDST) for\n              <jats:italic>M.tb<\/jats:italic>\n              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\n              <jats:italic>M.tb<\/jats:italic>\n              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%\u201393.0%), specificity of 93.0% (95% CI: 97.2%\u201399.5%), and an AUC of 0.92 (95% CI: 0.876\u20130.963). 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.\n            <\/jats:p>\n            <jats:sec>\n              <jats:title>IMPORTANCE<\/jats:title>\n              <jats:p>\n                Our results show that TBseq test offers excellent identification performance for tuberculosis (TB), significantly outperforming\n                <jats:italic>Mycobacterium tuberculosis<\/jats:italic>\n                (\n                <jats:italic>M.tb)<\/jats:italic>\n                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.\n              <\/jats:p>\n            <\/jats:sec>\n          <\/jats:sec>","DOI":"10.1128\/jcm.01813-24","type":"journal-article","created":{"date-parts":[[2025,3,19]],"date-time":"2025-03-19T13:01:57Z","timestamp":1742389317000},"update-policy":"https:\/\/doi.org\/10.1128\/asmj-crossmark-policy-page","source":"Crossref","is-referenced-by-count":12,"title":["Nanopore sequencing for precise detection of\n            <i>Mycobacterium tuberculosis<\/i>\n            and drug resistance: a retrospective multicenter study in China"],"prefix":"10.1128","volume":"63","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8456-5073","authenticated-orcid":false,"given":"Shanshan","family":"Yu","sequence":"first","affiliation":[{"name":"Department of Bacteriology and Immunology, Beijing Chest Hospital, Capital Medical University","place":["Beijing, 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