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In silico evaluation of WHO-endorsed molecular methods to detect drug resistant tuberculosis
Universal drug susceptibility testing (DST) for tuberculosis is a major goal of the END TB strategy. PCR-based molecular diagnostic tests have been instrumental in increasing DST globally and several assays have now been endorsed by the World Health Organization (WHO) for use in the diagnosis of dru...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587982/ https://www.ncbi.nlm.nih.gov/pubmed/36273016 http://dx.doi.org/10.1038/s41598-022-21025-6 |
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author | Brankin, Alice Seifert, Marva Georghiou, Sophia B. Walker, Timothy M. Uplekar, Swapna Suresh, Anita Colman, Rebecca E. |
author_facet | Brankin, Alice Seifert, Marva Georghiou, Sophia B. Walker, Timothy M. Uplekar, Swapna Suresh, Anita Colman, Rebecca E. |
author_sort | Brankin, Alice |
collection | PubMed |
description | Universal drug susceptibility testing (DST) for tuberculosis is a major goal of the END TB strategy. PCR-based molecular diagnostic tests have been instrumental in increasing DST globally and several assays have now been endorsed by the World Health Organization (WHO) for use in the diagnosis of drug resistance. These endorsed assays, however, each interrogate a limited number of mutations associated with resistance, potentially limiting their sensitivity compared to sequencing-based methods. We applied an in silico method to compare the sensitivity and specificity of WHO-endorsed molecular based diagnostics to the mutation set identified by the WHO mutations catalogue using phenotypic DST as the reference. We found that, in silico, the mutation sets used by probe-based molecular diagnostic tests to identify rifampicin, isoniazid, pyrazinamide, levofloxacin, moxifloxacin, amikacin, capreomycin and kanamycin resistance produced similar sensitivities and specificities to the WHO mutation catalogue. PCR-based diagnostic tests were most sensitive for drugs where mechanisms of resistance are well established and localised to small genetic regions or a few prevalent mutations. Approaches using sequencing technologies can provide advantages for drugs where our knowledge of resistance is limited, or where complex resistance signatures exist. |
format | Online Article Text |
id | pubmed-9587982 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95879822022-10-24 In silico evaluation of WHO-endorsed molecular methods to detect drug resistant tuberculosis Brankin, Alice Seifert, Marva Georghiou, Sophia B. Walker, Timothy M. Uplekar, Swapna Suresh, Anita Colman, Rebecca E. Sci Rep Article Universal drug susceptibility testing (DST) for tuberculosis is a major goal of the END TB strategy. PCR-based molecular diagnostic tests have been instrumental in increasing DST globally and several assays have now been endorsed by the World Health Organization (WHO) for use in the diagnosis of drug resistance. These endorsed assays, however, each interrogate a limited number of mutations associated with resistance, potentially limiting their sensitivity compared to sequencing-based methods. We applied an in silico method to compare the sensitivity and specificity of WHO-endorsed molecular based diagnostics to the mutation set identified by the WHO mutations catalogue using phenotypic DST as the reference. We found that, in silico, the mutation sets used by probe-based molecular diagnostic tests to identify rifampicin, isoniazid, pyrazinamide, levofloxacin, moxifloxacin, amikacin, capreomycin and kanamycin resistance produced similar sensitivities and specificities to the WHO mutation catalogue. PCR-based diagnostic tests were most sensitive for drugs where mechanisms of resistance are well established and localised to small genetic regions or a few prevalent mutations. Approaches using sequencing technologies can provide advantages for drugs where our knowledge of resistance is limited, or where complex resistance signatures exist. Nature Publishing Group UK 2022-10-22 /pmc/articles/PMC9587982/ /pubmed/36273016 http://dx.doi.org/10.1038/s41598-022-21025-6 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Brankin, Alice Seifert, Marva Georghiou, Sophia B. Walker, Timothy M. Uplekar, Swapna Suresh, Anita Colman, Rebecca E. In silico evaluation of WHO-endorsed molecular methods to detect drug resistant tuberculosis |
title | In silico evaluation of WHO-endorsed molecular methods to detect drug resistant tuberculosis |
title_full | In silico evaluation of WHO-endorsed molecular methods to detect drug resistant tuberculosis |
title_fullStr | In silico evaluation of WHO-endorsed molecular methods to detect drug resistant tuberculosis |
title_full_unstemmed | In silico evaluation of WHO-endorsed molecular methods to detect drug resistant tuberculosis |
title_short | In silico evaluation of WHO-endorsed molecular methods to detect drug resistant tuberculosis |
title_sort | in silico evaluation of who-endorsed molecular methods to detect drug resistant tuberculosis |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587982/ https://www.ncbi.nlm.nih.gov/pubmed/36273016 http://dx.doi.org/10.1038/s41598-022-21025-6 |
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