Field evaluation of nanopore targeted next-generation sequencing to predict drug-resistant tuberculosis from native sputum in South Africa and Zambia.
dc.contributor.affiliation | Institute of Social and Preventive Medicine, University of Bern, Bern, Switzerland. | |
dc.contributor.affiliation | Population Health Sciences, University of Bristol, Bristol, United Kingdom. | |
dc.contributor.affiliation | Center for Infectious Disease Research in Zambia, Lusaka, Zambia. | |
dc.contributor.affiliation | Department of Pulmonology and Allergology, Inselspital Universitatsspital Bern, Bern, Switzerland. | |
dc.contributor.affiliation | Institute of Medical Microbiology, University of Zürich, Zürich, Switzerland. | |
dc.contributor.affiliation | Department of Medical Science, Faculty of Health Sciences, University of Namibia, Windhoek, Namibia. | |
dc.contributor.affiliation | Institute for Infectious Diseases, University of Bern Institute for Infectious Diseases, Bern, Switzerland. | |
dc.contributor.affiliation | Clinical Bacteriology/Mycology, University Hospital Basel, Basel, Switzerland. | |
dc.contributor.affiliation | Centre for Infectious Disease Epidemiology & Research, School of Public Health & Family Medicine, University of Cape Town, Cape Town, South Africa. | |
dc.contributor.affiliation | Centre for Tuberculosis, National & WHO Supranational TB Reference Laboratory, a division of the National Health Laboratory Services, National Institute for Communicable Diseases, Johannesburg, South Africa. | |
dc.contributor.affiliation | Health Economics and Epidemiology Research Office, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. | |
dc.contributor.affiliation | CIDRZ | |
dc.contributor.affiliation | Centre for Infectious Disease Research in Zambia (CIDRZ) | |
dc.contributor.author | Schwab TC | |
dc.contributor.author | Joseph L | |
dc.contributor.author | Moono A | |
dc.contributor.author | Göller PC | |
dc.contributor.author | Motsei M | |
dc.contributor.author | Muula G | |
dc.contributor.author | Evans D | |
dc.contributor.author | Neuenschwander S | |
dc.contributor.author | Günther G | |
dc.contributor.author | Bolton C | |
dc.contributor.author | Keller PM | |
dc.contributor.author | Ramette A | |
dc.contributor.author | Egger M | |
dc.contributor.author | Omar SV | |
dc.contributor.author | Fenner L | |
dc.date.accessioned | 2025-05-23T11:40:54Z | |
dc.date.issued | 2025-Mar-12 | |
dc.description.abstract | Rapid and comprehensive drug susceptibility testing (DST) is essential for diagnosing and treating drug-resistant tuberculosis effectively, and next-generation sequencing can be an effective genotypic DST method. We implemented and evaluated the performance of a nanopore targeted sequencing assay, called the Tuberculosis Drug Resistance Test (TBDR, Oxford Nanopore Diagnostics, Ltd., United Kingdom), which predicts drug resistance to 16 TB drugs, at a South African reference laboratory and a district diagnostic laboratory in Zambia. We compared the sequencing success rates between unprocessed and decontaminated sputum samples and determined the diagnostic accuracy against local DST (Xpert MTB/RIF Ultra, Xpert MTB/XDR, and BD BACTEC MGIT phenotypic DST). We prospectively sequenced 236 samples and have 148 samples with sequencing results from unprocessed and decontaminated sputum. We obtained successful sequencing results from 66.4% (94/148) unprocessed sputum samples and 75% (111/148) decontaminated samples. Sequencing success rates at the two sites differed, with 50.7% (36/71) successful sequencing results from unprocessed sputum in Zambia and 75.3% (58/77) in South Africa. Samples with "low" bacterial load, measured by Xpert MTB/RIF Ultra, tended to produce fewer successful sequencing results. TBDR sequencing predicted resistances in 48 samples, detecting resistance for rifampicin ( | |
dc.identifier.doi | 10.1128/jcm.01390-24 | |
dc.identifier.uri | https://pubs.cidrz.org/handle/123456789/10336 | |
dc.source | Journal of clinical microbiology | |
dc.title | Field evaluation of nanopore targeted next-generation sequencing to predict drug-resistant tuberculosis from native sputum in South Africa and Zambia. |