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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...

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Autores principales: 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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
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.
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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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