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Whole genome sequencing distinguishes between relapse and reinfection in recurrent leprosy cases
BACKGROUND: Since leprosy is both treated and controlled by multidrug therapy (MDT) it is important to monitor recurrent cases for drug resistance and to distinguish between relapse and reinfection as a means of assessing therapeutic efficacy. All three objectives can be reached with single nucleoti...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498066/ https://www.ncbi.nlm.nih.gov/pubmed/28617800 http://dx.doi.org/10.1371/journal.pntd.0005598 |
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author | Stefani, Mariane M. A. Avanzi, Charlotte Bührer-Sékula, Samira Benjak, Andrej Loiseau, Chloé Singh, Pushpendra Pontes, Maria A. A. Gonçalves, Heitor S. Hungria, Emerith M. Busso, Philippe Piton, Jérémie Silveira, Maria I. S. Cruz, Rossilene Schetinni, Antônio Costa, Maurício B. Virmond, Marcos C. L. Diorio, Suzana M. Dias-Baptista, Ida M. F. Rosa, Patricia S. Matsuoka, Masanori Penna, Maria L. F. Cole, Stewart T. Penna, Gerson O. |
author_facet | Stefani, Mariane M. A. Avanzi, Charlotte Bührer-Sékula, Samira Benjak, Andrej Loiseau, Chloé Singh, Pushpendra Pontes, Maria A. A. Gonçalves, Heitor S. Hungria, Emerith M. Busso, Philippe Piton, Jérémie Silveira, Maria I. S. Cruz, Rossilene Schetinni, Antônio Costa, Maurício B. Virmond, Marcos C. L. Diorio, Suzana M. Dias-Baptista, Ida M. F. Rosa, Patricia S. Matsuoka, Masanori Penna, Maria L. F. Cole, Stewart T. Penna, Gerson O. |
author_sort | Stefani, Mariane M. A. |
collection | PubMed |
description | BACKGROUND: Since leprosy is both treated and controlled by multidrug therapy (MDT) it is important to monitor recurrent cases for drug resistance and to distinguish between relapse and reinfection as a means of assessing therapeutic efficacy. All three objectives can be reached with single nucleotide resolution using next generation sequencing and bioinformatics analysis of Mycobacterium leprae DNA present in human skin. METHODOLOGY: DNA was isolated by means of optimized extraction and enrichment methods from samples from three recurrent cases in leprosy patients participating in an open-label, randomized, controlled clinical trial of uniform MDT in Brazil (U-MDT/CT-BR). Genome-wide sequencing of M. leprae was performed and the resultant sequence assemblies analyzed in silico. PRINCIPAL FINDINGS: In all three cases, no mutations responsible for resistance to rifampicin, dapsone and ofloxacin were found, thus eliminating drug resistance as a possible cause of disease recurrence. However, sequence differences were detected between the strains from the first and second disease episodes in all three patients. In one case, clear evidence was obtained for reinfection with an unrelated strain whereas in the other two cases, relapse appeared more probable. CONCLUSIONS/SIGNIFICANCE: This is the first report of using M. leprae whole genome sequencing to reveal that treated and cured leprosy patients who remain in endemic areas can be reinfected by another strain. Next generation sequencing can be applied reliably to M. leprae DNA extracted from biopsies to discriminate between cases of relapse and reinfection, thereby providing a powerful tool for evaluating different outcomes of therapeutic regimens and for following disease transmission. |
format | Online Article Text |
id | pubmed-5498066 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-54980662017-07-25 Whole genome sequencing distinguishes between relapse and reinfection in recurrent leprosy cases Stefani, Mariane M. A. Avanzi, Charlotte Bührer-Sékula, Samira Benjak, Andrej Loiseau, Chloé Singh, Pushpendra Pontes, Maria A. A. Gonçalves, Heitor S. Hungria, Emerith M. Busso, Philippe Piton, Jérémie Silveira, Maria I. S. Cruz, Rossilene Schetinni, Antônio Costa, Maurício B. Virmond, Marcos C. L. Diorio, Suzana M. Dias-Baptista, Ida M. F. Rosa, Patricia S. Matsuoka, Masanori Penna, Maria L. F. Cole, Stewart T. Penna, Gerson O. PLoS Negl Trop Dis Research Article BACKGROUND: Since leprosy is both treated and controlled by multidrug therapy (MDT) it is important to monitor recurrent cases for drug resistance and to distinguish between relapse and reinfection as a means of assessing therapeutic efficacy. All three objectives can be reached with single nucleotide resolution using next generation sequencing and bioinformatics analysis of Mycobacterium leprae DNA present in human skin. METHODOLOGY: DNA was isolated by means of optimized extraction and enrichment methods from samples from three recurrent cases in leprosy patients participating in an open-label, randomized, controlled clinical trial of uniform MDT in Brazil (U-MDT/CT-BR). Genome-wide sequencing of M. leprae was performed and the resultant sequence assemblies analyzed in silico. PRINCIPAL FINDINGS: In all three cases, no mutations responsible for resistance to rifampicin, dapsone and ofloxacin were found, thus eliminating drug resistance as a possible cause of disease recurrence. However, sequence differences were detected between the strains from the first and second disease episodes in all three patients. In one case, clear evidence was obtained for reinfection with an unrelated strain whereas in the other two cases, relapse appeared more probable. CONCLUSIONS/SIGNIFICANCE: This is the first report of using M. leprae whole genome sequencing to reveal that treated and cured leprosy patients who remain in endemic areas can be reinfected by another strain. Next generation sequencing can be applied reliably to M. leprae DNA extracted from biopsies to discriminate between cases of relapse and reinfection, thereby providing a powerful tool for evaluating different outcomes of therapeutic regimens and for following disease transmission. Public Library of Science 2017-06-15 /pmc/articles/PMC5498066/ /pubmed/28617800 http://dx.doi.org/10.1371/journal.pntd.0005598 Text en © 2017 Stefani et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Stefani, Mariane M. A. Avanzi, Charlotte Bührer-Sékula, Samira Benjak, Andrej Loiseau, Chloé Singh, Pushpendra Pontes, Maria A. A. Gonçalves, Heitor S. Hungria, Emerith M. Busso, Philippe Piton, Jérémie Silveira, Maria I. S. Cruz, Rossilene Schetinni, Antônio Costa, Maurício B. Virmond, Marcos C. L. Diorio, Suzana M. Dias-Baptista, Ida M. F. Rosa, Patricia S. Matsuoka, Masanori Penna, Maria L. F. Cole, Stewart T. Penna, Gerson O. Whole genome sequencing distinguishes between relapse and reinfection in recurrent leprosy cases |
title | Whole genome sequencing distinguishes between relapse and reinfection in recurrent leprosy cases |
title_full | Whole genome sequencing distinguishes between relapse and reinfection in recurrent leprosy cases |
title_fullStr | Whole genome sequencing distinguishes between relapse and reinfection in recurrent leprosy cases |
title_full_unstemmed | Whole genome sequencing distinguishes between relapse and reinfection in recurrent leprosy cases |
title_short | Whole genome sequencing distinguishes between relapse and reinfection in recurrent leprosy cases |
title_sort | whole genome sequencing distinguishes between relapse and reinfection in recurrent leprosy cases |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5498066/ https://www.ncbi.nlm.nih.gov/pubmed/28617800 http://dx.doi.org/10.1371/journal.pntd.0005598 |
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