Literature DB >> 29305545

The Repetitive Element RLEP Is a Highly Specific Target for Detection of Mycobacterium leprae.

S Braet1, K Vandelannoote2, C J Meehan2, A N Brum Fontes3, E Hasker2, P S Rosa4, N Lucena-Silva5, L Rigouts2, P N Suffys3, B C De Jong2.   

Abstract

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Keywords:  RLEP qPCR; diagnosis; leprosy; specificity

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Year:  2018        PMID: 29305545      PMCID: PMC5824061          DOI: 10.1128/JCM.01924-17

Source DB:  PubMed          Journal:  J Clin Microbiol        ISSN: 0095-1137            Impact factor:   5.948


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LETTER

Leprosy, caused by Mycobacterium leprae, is a mutilating and highly stigmatized disease that still affects hundreds of thousands of new patients annually. The diagnosis relies entirely on clinical findings, per WHO guidelines, although confirmation of clinically doubtful presentations requires reliable diagnostic tools. Early detection and treatment interrupt transmission and prevent severely debilitating disease. Since 2001, the complete genome of M. leprae has been available, which was the basis for several molecular techniques to detect M. leprae (1). Martinez et al. compared four different quantitative real-time PCR (qPCR) assays for leprosy diagnosis using skin biopsy specimens (SBs) from patients (2). They concluded that the qPCR targeting 36 RLEP copies per genome, described by Truman et al. (3), was the most sensitive assay, presenting high sensitivity (100%) for multibacillary (MB; >5 lesions) patients and 84.6% sensitivity for paucibacillary (PB; <5 lesions) patients. Housman et al. tested the RLEP qPCR in both experimentally infected and noninfected armadillos and reported a false positivity rate of 40% (4), raising concerns about test specificity. The specificity might be affected by the presence of homologous sequences in other environmental and understudied Mycobacterium species, which could yield false positives (2). Alternatively, the high sensitivity also makes the assay more prone to contamination as a source of false positives, or the samples tested included true positives in whom leprosy had clinically not been correctly diagnosed, i.e., misclassification of test samples. Thus, our study aimed to revisit the specificity of the RLEP qPCR. Specificity was first determined in silico; the RLEP qPCR primer and probe sequences were compared against the NCBI's nonredundant database using BLASTn (7 December 2017) (5), including 148 sequenced mycobacterial genomes from recent studies (6, 7). This did not identify any potential cross-reactivity. Subsequently, specificity was experimentally tested. Among SBs from 28 and 31 nonleprosy controls tested from areas where leprosy was not endemic or was endemic, respectively, no RLEP qPCR amplification was observed. In addition, none of 61 isolates from different mycobacterial species, including the closely related M. szulgai and M. haemophilum, showed amplification for the RLEP qPCR. Confirming sensitivity, all 101 samples from clinically confirmed patients (10 SBs from MB patients and 91 slit skin smears, including 27 acid-fast bacillus [AFB] negative and 64 AFB positive) were positive with the RLEP qPCR. We notified the Institute of Tropical Medicine's Institutional Review Board about testing deidentified surplus diagnostic samples from patients from Brazil, Belgium, and the Comoros, who had provided informed consent. These results suggest 100% specificity of RLEP qPCR for M. leprae. However, due to the possible presence of homologous RLEP sequences in unidentified, unculturable, or understudied mycobacteria closely related to M. leprae, the reported specificity will always be provisional. The absence of identical primer/probe binding sites in the current NCBI database decreases the probability that new mycobacterial species with homologous RLEP sequences will emerge. Our results suggest that false positives would more likely represent contamination issues. This study supports RLEP qPCR as the gold standard for laboratory confirmation for leprosy, even when sensitivity in PB samples is still imperfect.
  7 in total

1.  Basic local alignment search tool.

Authors:  S F Altschul; W Gish; W Miller; E W Myers; D J Lipman
Journal:  J Mol Biol       Date:  1990-10-05       Impact factor: 5.469

2.  Massive gene decay in the leprosy bacillus.

Authors:  S T Cole; K Eiglmeier; J Parkhill; K D James; N R Thomson; P R Wheeler; N Honoré; T Garnier; C Churcher; D Harris; K Mungall; D Basham; D Brown; T Chillingworth; R Connor; R M Davies; K Devlin; S Duthoy; T Feltwell; A Fraser; N Hamlin; S Holroyd; T Hornsby; K Jagels; C Lacroix; J Maclean; S Moule; L Murphy; K Oliver; M A Quail; M A Rajandream; K M Rutherford; S Rutter; K Seeger; S Simon; M Simmonds; J Skelton; R Squares; S Squares; K Stevens; K Taylor; S Whitehead; J R Woodward; B G Barrell
Journal:  Nature       Date:  2001-02-22       Impact factor: 49.962

3.  The new phylogeny of the genus Mycobacterium: The old and the news.

Authors:  Enrico Tortoli; Tarcisio Fedrizzi; Conor J Meehan; Alberto Trovato; Antonella Grottola; Elisabetta Giacobazzi; Giulia Fregni Serpini; Sara Tagliazucchi; Anna Fabio; Clotilde Bettua; Roberto Bertorelli; Francesca Frascaro; Veronica De Sanctis; Monica Pecorari; Olivier Jousson; Nicola Segata; Daniela M Cirillo
Journal:  Infect Genet Evol       Date:  2017-10-11       Impact factor: 3.342

4.  Validation of qPCR Methods for the Detection of Mycobacterium in New World Animal Reservoirs.

Authors:  Genevieve Housman; Joanna Malukiewicz; Vanner Boere; Adriana D Grativol; Luiz Cezar M Pereira; Ita de Oliveira Silva; Carlos R Ruiz-Miranda; Richard Truman; Anne C Stone
Journal:  PLoS Negl Trop Dis       Date:  2015-11-16

5.  Evaluation of qPCR-based assays for leprosy diagnosis directly in clinical specimens.

Authors:  Alejandra Nóbrega Martinez; Marcelo Ribeiro-Alves; Euzenir Nunes Sarno; Milton Ozório Moraes
Journal:  PLoS Negl Trop Dis       Date:  2011-10-11

6.  Genomic characterization of Nontuberculous Mycobacteria.

Authors:  Tarcisio Fedrizzi; Conor J Meehan; Antonella Grottola; Elisabetta Giacobazzi; Giulia Fregni Serpini; Sara Tagliazucchi; Anna Fabio; Clotilde Bettua; Roberto Bertorelli; Veronica De Sanctis; Fabio Rumpianesi; Monica Pecorari; Olivier Jousson; Enrico Tortoli; Nicola Segata
Journal:  Sci Rep       Date:  2017-03-27       Impact factor: 4.379

7.  Enumeration of Mycobacterium leprae using real-time PCR.

Authors:  Richard W Truman; P Kyle Andrews; Naoko Y Robbins; Linda B Adams; James L Krahenbuhl; Thomas P Gillis
Journal:  PLoS Negl Trop Dis       Date:  2008-11-04
  7 in total
  5 in total

1.  Discrimination of Mycobacterium leprae and Mycobacterium haemophilum in Clinical Isolates and Specimens by Multiplex PCR Assay and Prediction of Drug Susceptibility.

Authors:  Naoya Kitaoka; Hanako Fukano; Mitsunori Yoshida; Yuji Miyamoto; Shuichi Mori; Norihisa Ishii; Manabu Ato; Naoya Ohara; Yoshihiko Hoshino
Journal:  J Clin Microbiol       Date:  2019-01-30       Impact factor: 5.948

2.  Genomic Characterization of Mycobacterium leprae to Explore Transmission Patterns Identifies New Subtype in Bangladesh.

Authors:  Maria Tió-Coma; Charlotte Avanzi; Els M Verhard; Louise Pierneef; Anouk van Hooij; Andrej Benjak; Johan Chandra Roy; Marufa Khatun; Khorshed Alam; Paul Corstjens; Stewart T Cole; Jan Hendrik Richardus; Annemieke Geluk
Journal:  Front Microbiol       Date:  2020-06-16       Impact factor: 5.640

3.  Minimally invasive sampling to identify leprosy patients with a high bacterial burden in the Union of the Comoros.

Authors:  Sofie Marijke Braet; Anouk van Hooij; Epco Hasker; Erik Fransen; Abdou Wirdane; Abdallah Baco; Saverio Grillone; Nimer Ortuno-Gutierrez; Younoussa Assoumani; Aboubacar Mzembaba; Paul Corstjens; Leen Rigouts; Annemieke Geluk; Bouke Catherine de Jong
Journal:  PLoS Negl Trop Dis       Date:  2021-11-10

4.  Mycobacterium leprae Infection in a Wild Nine-Banded Armadillo, Nuevo León, Mexico.

Authors:  Lucio Vera-Cabrera; Cesar J Ramos-Cavazos; Nathan A Youssef; Camron M Pearce; Carmen A Molina-Torres; Ramiro Avalos-Ramirez; Sebastien Gagneux; Jorge Ocampo-Candiani; Mercedes Gonzalez-Juarrero; Jorge A Mayorga-Rodriguez; Leonardo Mayorga-Garibaldi; John S Spencer; Mary Jackson; Charlotte Avanzi
Journal:  Emerg Infect Dis       Date:  2022-03       Impact factor: 6.883

5.  Evaluation of Auramine O staining and conventional PCR for leprosy diagnosis: A comparative cross-sectional study from Ethiopia.

Authors:  Selfu Girma; Charlotte Avanzi; Kidist Bobosha; Kassu Desta; Munir H Idriss; Philippe Busso; Yohannes Tsegaye; Shimelis Nigusse; Tsegaye Hailu; Stewart T Cole; Abraham Aseffa
Journal:  PLoS Negl Trop Dis       Date:  2018-09-04
  5 in total

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