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Experimental platform utilising melting curve technology for detection of mutations in Mycobacterium tuberculosis isolates

Tuberculosis (TB) remains one of the most deadly infections with approximately a quarter of cases not being identified and/or treated mainly due to a lack of resources. Rapid detection of TB or drug-resistant TB enables timely adequate treatment and is a cornerstone of effective TB management. We ev...

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Autores principales: Broda, Agnieszka, Nikolayevskyy, Vlad, Casali, Nicki, Khan, Huma, Bowker, Richard, Blackwell, Gemma, Patel, Bhakti, Hume, James, Hussain, Waqar, Drobniewski, Francis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015100/
https://www.ncbi.nlm.nih.gov/pubmed/29675789
http://dx.doi.org/10.1007/s10096-018-3246-2
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author Broda, Agnieszka
Nikolayevskyy, Vlad
Casali, Nicki
Khan, Huma
Bowker, Richard
Blackwell, Gemma
Patel, Bhakti
Hume, James
Hussain, Waqar
Drobniewski, Francis
author_facet Broda, Agnieszka
Nikolayevskyy, Vlad
Casali, Nicki
Khan, Huma
Bowker, Richard
Blackwell, Gemma
Patel, Bhakti
Hume, James
Hussain, Waqar
Drobniewski, Francis
author_sort Broda, Agnieszka
collection PubMed
description Tuberculosis (TB) remains one of the most deadly infections with approximately a quarter of cases not being identified and/or treated mainly due to a lack of resources. Rapid detection of TB or drug-resistant TB enables timely adequate treatment and is a cornerstone of effective TB management. We evaluated the analytical performance of a single-tube assay for multidrug-resistant TB (MDR-TB) on an experimental platform utilising RT-PCR and melting curve analysis that could potentially be operated as a point-of-care (PoC) test in resource-constrained settings with a high burden of TB. Firstly, we developed and evaluated the prototype MDR-TB assay using specimens extracted from well-characterised TB isolates with a variety of distinct rifampicin and isoniazid resistance conferring mutations and nontuberculous Mycobacteria (NTM) strains. Secondly, we validated the experimental platform using 98 clinical sputum samples from pulmonary TB patients collected in high MDR-TB settings. The sensitivity of the platform for TB detection in clinical specimens was 75% for smear-negative and 92.6% for smear-positive sputum samples. The sensitivity of detection for rifampicin and isoniazid resistance was 88.9 and 96.0% and specificity was 87.5 and 100%, respectively. Observed limitations in sensitivity and specificity could be resolved by adjusting the sample preparation methodology and melting curve recognition algorithm. Overall technology could be considered a promising PoC methodology especially in resource-constrained settings based on its combined accuracy, convenience, simplicity, speed, and cost characteristics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10096-018-3246-2) contains supplementary material, which is available to authorized users.
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spelling pubmed-60151002018-07-04 Experimental platform utilising melting curve technology for detection of mutations in Mycobacterium tuberculosis isolates Broda, Agnieszka Nikolayevskyy, Vlad Casali, Nicki Khan, Huma Bowker, Richard Blackwell, Gemma Patel, Bhakti Hume, James Hussain, Waqar Drobniewski, Francis Eur J Clin Microbiol Infect Dis Original Article Tuberculosis (TB) remains one of the most deadly infections with approximately a quarter of cases not being identified and/or treated mainly due to a lack of resources. Rapid detection of TB or drug-resistant TB enables timely adequate treatment and is a cornerstone of effective TB management. We evaluated the analytical performance of a single-tube assay for multidrug-resistant TB (MDR-TB) on an experimental platform utilising RT-PCR and melting curve analysis that could potentially be operated as a point-of-care (PoC) test in resource-constrained settings with a high burden of TB. Firstly, we developed and evaluated the prototype MDR-TB assay using specimens extracted from well-characterised TB isolates with a variety of distinct rifampicin and isoniazid resistance conferring mutations and nontuberculous Mycobacteria (NTM) strains. Secondly, we validated the experimental platform using 98 clinical sputum samples from pulmonary TB patients collected in high MDR-TB settings. The sensitivity of the platform for TB detection in clinical specimens was 75% for smear-negative and 92.6% for smear-positive sputum samples. The sensitivity of detection for rifampicin and isoniazid resistance was 88.9 and 96.0% and specificity was 87.5 and 100%, respectively. Observed limitations in sensitivity and specificity could be resolved by adjusting the sample preparation methodology and melting curve recognition algorithm. Overall technology could be considered a promising PoC methodology especially in resource-constrained settings based on its combined accuracy, convenience, simplicity, speed, and cost characteristics. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1007/s10096-018-3246-2) contains supplementary material, which is available to authorized users. Springer Berlin Heidelberg 2018-04-20 2018 /pmc/articles/PMC6015100/ /pubmed/29675789 http://dx.doi.org/10.1007/s10096-018-3246-2 Text en © The Author(s) 2018 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
spellingShingle Original Article
Broda, Agnieszka
Nikolayevskyy, Vlad
Casali, Nicki
Khan, Huma
Bowker, Richard
Blackwell, Gemma
Patel, Bhakti
Hume, James
Hussain, Waqar
Drobniewski, Francis
Experimental platform utilising melting curve technology for detection of mutations in Mycobacterium tuberculosis isolates
title Experimental platform utilising melting curve technology for detection of mutations in Mycobacterium tuberculosis isolates
title_full Experimental platform utilising melting curve technology for detection of mutations in Mycobacterium tuberculosis isolates
title_fullStr Experimental platform utilising melting curve technology for detection of mutations in Mycobacterium tuberculosis isolates
title_full_unstemmed Experimental platform utilising melting curve technology for detection of mutations in Mycobacterium tuberculosis isolates
title_short Experimental platform utilising melting curve technology for detection of mutations in Mycobacterium tuberculosis isolates
title_sort experimental platform utilising melting curve technology for detection of mutations in mycobacterium tuberculosis isolates
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6015100/
https://www.ncbi.nlm.nih.gov/pubmed/29675789
http://dx.doi.org/10.1007/s10096-018-3246-2
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