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Optimized molecular resolution of cross-contamination alerts in clinical mycobacteriology laboratories
BACKGROUND: The phenomenon of misdiagnosing tuberculosis (TB) by laboratory cross-contamination when culturing Mycobacterium tuberculosis (MTB) has been widely reported and it has an obvious clinical, therapeutic and social impact. The final confirmation of a cross-contamination event requires the m...
Autores principales: | , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2291055/ https://www.ncbi.nlm.nih.gov/pubmed/18275600 http://dx.doi.org/10.1186/1471-2180-8-30 |
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author | Martín, Ana Herranz, Marta Lirola, Miguel Martínez Fernández, Rosa Fernández Bouza, Emilio de Viedma, Darío García |
author_facet | Martín, Ana Herranz, Marta Lirola, Miguel Martínez Fernández, Rosa Fernández Bouza, Emilio de Viedma, Darío García |
author_sort | Martín, Ana |
collection | PubMed |
description | BACKGROUND: The phenomenon of misdiagnosing tuberculosis (TB) by laboratory cross-contamination when culturing Mycobacterium tuberculosis (MTB) has been widely reported and it has an obvious clinical, therapeutic and social impact. The final confirmation of a cross-contamination event requires the molecular identification of the same MTB strain cultured from both the potential source of the contamination and from the false-positive candidate. The molecular tool usually applied in this context is IS6110-RFLP which takes a long time to provide an answer, usually longer than is acceptable for microbiologists and clinicians to make decisions. Our purpose in this study is to evaluate a novel PCR-based method, MIRU-VNTR as an alternative to assure a rapid and optimized analysis of cross-contamination alerts. RESULTS: MIRU-VNTR was prospectively compared with IS6110-RFLP for clarifying 19 alerts of false positivity from other laboratories. MIRU-VNTR highly correlated with IS6110-RFLP, reduced the response time by 27 days and clarified six alerts unresolved by RFLP. Additionally, MIRU-VNTR revealed complex situations such as contamination events involving polyclonal isolates and a false-positive case due to the simultaneous cross-contamination from two independent sources. CONCLUSION: Unlike standard RFLP-based genotyping, MIRU-VNTR i) could help reduce the impact of a false positive diagnosis of TB, ii) increased the number of events that could be solved and iii) revealed the complexity of some cross-contamination events that could not be dissected by IS6110-RFLP. |
format | Text |
id | pubmed-2291055 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22910552008-04-09 Optimized molecular resolution of cross-contamination alerts in clinical mycobacteriology laboratories Martín, Ana Herranz, Marta Lirola, Miguel Martínez Fernández, Rosa Fernández Bouza, Emilio de Viedma, Darío García BMC Microbiol Research Article BACKGROUND: The phenomenon of misdiagnosing tuberculosis (TB) by laboratory cross-contamination when culturing Mycobacterium tuberculosis (MTB) has been widely reported and it has an obvious clinical, therapeutic and social impact. The final confirmation of a cross-contamination event requires the molecular identification of the same MTB strain cultured from both the potential source of the contamination and from the false-positive candidate. The molecular tool usually applied in this context is IS6110-RFLP which takes a long time to provide an answer, usually longer than is acceptable for microbiologists and clinicians to make decisions. Our purpose in this study is to evaluate a novel PCR-based method, MIRU-VNTR as an alternative to assure a rapid and optimized analysis of cross-contamination alerts. RESULTS: MIRU-VNTR was prospectively compared with IS6110-RFLP for clarifying 19 alerts of false positivity from other laboratories. MIRU-VNTR highly correlated with IS6110-RFLP, reduced the response time by 27 days and clarified six alerts unresolved by RFLP. Additionally, MIRU-VNTR revealed complex situations such as contamination events involving polyclonal isolates and a false-positive case due to the simultaneous cross-contamination from two independent sources. CONCLUSION: Unlike standard RFLP-based genotyping, MIRU-VNTR i) could help reduce the impact of a false positive diagnosis of TB, ii) increased the number of events that could be solved and iii) revealed the complexity of some cross-contamination events that could not be dissected by IS6110-RFLP. BioMed Central 2008-02-14 /pmc/articles/PMC2291055/ /pubmed/18275600 http://dx.doi.org/10.1186/1471-2180-8-30 Text en Copyright © 2008 Martín et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Martín, Ana Herranz, Marta Lirola, Miguel Martínez Fernández, Rosa Fernández Bouza, Emilio de Viedma, Darío García Optimized molecular resolution of cross-contamination alerts in clinical mycobacteriology laboratories |
title | Optimized molecular resolution of cross-contamination alerts in clinical mycobacteriology laboratories |
title_full | Optimized molecular resolution of cross-contamination alerts in clinical mycobacteriology laboratories |
title_fullStr | Optimized molecular resolution of cross-contamination alerts in clinical mycobacteriology laboratories |
title_full_unstemmed | Optimized molecular resolution of cross-contamination alerts in clinical mycobacteriology laboratories |
title_short | Optimized molecular resolution of cross-contamination alerts in clinical mycobacteriology laboratories |
title_sort | optimized molecular resolution of cross-contamination alerts in clinical mycobacteriology laboratories |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2291055/ https://www.ncbi.nlm.nih.gov/pubmed/18275600 http://dx.doi.org/10.1186/1471-2180-8-30 |
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