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  4. Whole genome sequencing distinguishes between relapse and reinfection in recurrent leprosy cases
 
research article

Whole genome sequencing distinguishes between relapse and reinfection in recurrent leprosy cases

Stefani, Mariane M. A.
•
Avanzi, Charlotte  
•
Buhrer-Sekula, Samira
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2017
Plos Neglected Tropical Diseases

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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Type
research article
DOI
10.1371/journal.pntd.0005598
Web of Science ID

WOS:000405080700018

Author(s)
Stefani, Mariane M. A.
Avanzi, Charlotte  
Buhrer-Sekula, Samira
Benjak, Andrej  
Loiseau, Chloe
Singh, Pushpendra  
Pontes, Maria A. A.
Goncalves, Heitor S.
Hungria, Emerith M.
Busso, Philippe
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Date Issued

2017

Publisher

Public Library Science

Published in
Plos Neglected Tropical Diseases
Volume

11

Issue

6

Article Number

e0005598

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
UPCOL  
Available on Infoscience
September 5, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/140323
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