Pathogen-specific epitopes as epidemiological tools for defining the magnitude of mycobacterium leprae transmission in areas endemic for leprosy
Autor(a) principal: | |
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Data de Publicação: | 2012 |
Outros Autores: | , , , , , , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da Universidade Federal do Ceará (UFC) |
Texto Completo: | http://www.repositorio.ufc.br/handle/riufc/5315 |
Resumo: | During recent years, comparative genomic analysis has allowed the identification of Mycobacterium leprae -specific genes with potential application for the diagnosis of leprosy. In a previous study, 58 synthetic peptides derived from these sequences were tested for their ability to induce production of IFN- c in PBMC from endemic controls (EC) with unknown exposure to M. leprae , household contacts of leprosy patients and patients, indicating the potential of these synthetic peptides for the diagnosis of sub- or preclinical forms of leprosy. In the present study, the patterns of IFN- c release of the individuals exposed or non-exposed to M. leprae were compared using an Artificial Neural Network algorithm, and the most promising M. leprae peptides for the identification of exposed people were selected. This subset of M. leprae -specific peptides allowed the differentiation of groups of individuals from sites hyperendemic for leprosy versus those from areas with lower level detection rates. A progressive reduction in the IFN- c levels in response to the peptides was seen when contacts of multibacillary (MB) patients were compared to other less exposed groups, suggesting a down modulation of IFN- c production with an increase in bacillary load or exposure to M. leprae . The data generated indicate that an IFN- c assay based on these peptides applied individually or as a pool can be used as a new tool for predicting the magnitude of M. leprae transmission in a given population. |
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Repositório Institucional da Universidade Federal do Ceará (UFC) |
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Pathogen-specific epitopes as epidemiological tools for defining the magnitude of mycobacterium leprae transmission in areas endemic for leprosyHanseníaseMycobacterium lepraeDuring recent years, comparative genomic analysis has allowed the identification of Mycobacterium leprae -specific genes with potential application for the diagnosis of leprosy. In a previous study, 58 synthetic peptides derived from these sequences were tested for their ability to induce production of IFN- c in PBMC from endemic controls (EC) with unknown exposure to M. leprae , household contacts of leprosy patients and patients, indicating the potential of these synthetic peptides for the diagnosis of sub- or preclinical forms of leprosy. In the present study, the patterns of IFN- c release of the individuals exposed or non-exposed to M. leprae were compared using an Artificial Neural Network algorithm, and the most promising M. leprae peptides for the identification of exposed people were selected. This subset of M. leprae -specific peptides allowed the differentiation of groups of individuals from sites hyperendemic for leprosy versus those from areas with lower level detection rates. A progressive reduction in the IFN- c levels in response to the peptides was seen when contacts of multibacillary (MB) patients were compared to other less exposed groups, suggesting a down modulation of IFN- c production with an increase in bacillary load or exposure to M. leprae . The data generated indicate that an IFN- c assay based on these peptides applied individually or as a pool can be used as a new tool for predicting the magnitude of M. leprae transmission in a given population.PLoS Neglected Tropical Diseases2013-07-10T10:59:42Z2013-07-10T10:59:42Z2012-04info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMARTINS, M. V. S. B. et al. Pathogen-specific epitopes as epidemiological tools for defining the magnitude of mycobacterium leprae transmission in areas endemic for leprosy. PLoS Neglected Tropical Diseases, San Francisco, v. 6, n. 4, p. e1616, abr. 2012.1935-2727http://www.repositorio.ufc.br/handle/riufc/5315Martins, Marcia V. S. B.Guimarães, Marjorie M. da S.Spencer, John S.Hacker, Mariana A. V. B.Costa, Luciana S.Carvalho, Fernanda M.Geluk, AnnemiekeSchip, Jolien J. van der Ploeg-vanPontes, Maria A. A.Gonçalves, Heitor S.Morais, Janvier P. deBandeira, Tereza de Jesus Pinheiro GomesPessolani, Maria C. V.Brennan, Patrick J.Pereira, Geraldo M. B.engreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2022-12-09T12:12:27Zoai:repositorio.ufc.br:riufc/5315Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:40:38.871557Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false |
dc.title.none.fl_str_mv |
Pathogen-specific epitopes as epidemiological tools for defining the magnitude of mycobacterium leprae transmission in areas endemic for leprosy |
title |
Pathogen-specific epitopes as epidemiological tools for defining the magnitude of mycobacterium leprae transmission in areas endemic for leprosy |
spellingShingle |
Pathogen-specific epitopes as epidemiological tools for defining the magnitude of mycobacterium leprae transmission in areas endemic for leprosy Martins, Marcia V. S. B. Hanseníase Mycobacterium leprae |
title_short |
Pathogen-specific epitopes as epidemiological tools for defining the magnitude of mycobacterium leprae transmission in areas endemic for leprosy |
title_full |
Pathogen-specific epitopes as epidemiological tools for defining the magnitude of mycobacterium leprae transmission in areas endemic for leprosy |
title_fullStr |
Pathogen-specific epitopes as epidemiological tools for defining the magnitude of mycobacterium leprae transmission in areas endemic for leprosy |
title_full_unstemmed |
Pathogen-specific epitopes as epidemiological tools for defining the magnitude of mycobacterium leprae transmission in areas endemic for leprosy |
title_sort |
Pathogen-specific epitopes as epidemiological tools for defining the magnitude of mycobacterium leprae transmission in areas endemic for leprosy |
author |
Martins, Marcia V. S. B. |
author_facet |
Martins, Marcia V. S. B. Guimarães, Marjorie M. da S. Spencer, John S. Hacker, Mariana A. V. B. Costa, Luciana S. Carvalho, Fernanda M. Geluk, Annemieke Schip, Jolien J. van der Ploeg-van Pontes, Maria A. A. Gonçalves, Heitor S. Morais, Janvier P. de Bandeira, Tereza de Jesus Pinheiro Gomes Pessolani, Maria C. V. Brennan, Patrick J. Pereira, Geraldo M. B. |
author_role |
author |
author2 |
Guimarães, Marjorie M. da S. Spencer, John S. Hacker, Mariana A. V. B. Costa, Luciana S. Carvalho, Fernanda M. Geluk, Annemieke Schip, Jolien J. van der Ploeg-van Pontes, Maria A. A. Gonçalves, Heitor S. Morais, Janvier P. de Bandeira, Tereza de Jesus Pinheiro Gomes Pessolani, Maria C. V. Brennan, Patrick J. Pereira, Geraldo M. B. |
author2_role |
author author author author author author author author author author author author author author |
dc.contributor.author.fl_str_mv |
Martins, Marcia V. S. B. Guimarães, Marjorie M. da S. Spencer, John S. Hacker, Mariana A. V. B. Costa, Luciana S. Carvalho, Fernanda M. Geluk, Annemieke Schip, Jolien J. van der Ploeg-van Pontes, Maria A. A. Gonçalves, Heitor S. Morais, Janvier P. de Bandeira, Tereza de Jesus Pinheiro Gomes Pessolani, Maria C. V. Brennan, Patrick J. Pereira, Geraldo M. B. |
dc.subject.por.fl_str_mv |
Hanseníase Mycobacterium leprae |
topic |
Hanseníase Mycobacterium leprae |
description |
During recent years, comparative genomic analysis has allowed the identification of Mycobacterium leprae -specific genes with potential application for the diagnosis of leprosy. In a previous study, 58 synthetic peptides derived from these sequences were tested for their ability to induce production of IFN- c in PBMC from endemic controls (EC) with unknown exposure to M. leprae , household contacts of leprosy patients and patients, indicating the potential of these synthetic peptides for the diagnosis of sub- or preclinical forms of leprosy. In the present study, the patterns of IFN- c release of the individuals exposed or non-exposed to M. leprae were compared using an Artificial Neural Network algorithm, and the most promising M. leprae peptides for the identification of exposed people were selected. This subset of M. leprae -specific peptides allowed the differentiation of groups of individuals from sites hyperendemic for leprosy versus those from areas with lower level detection rates. A progressive reduction in the IFN- c levels in response to the peptides was seen when contacts of multibacillary (MB) patients were compared to other less exposed groups, suggesting a down modulation of IFN- c production with an increase in bacillary load or exposure to M. leprae . The data generated indicate that an IFN- c assay based on these peptides applied individually or as a pool can be used as a new tool for predicting the magnitude of M. leprae transmission in a given population. |
publishDate |
2012 |
dc.date.none.fl_str_mv |
2012-04 2013-07-10T10:59:42Z 2013-07-10T10:59:42Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
MARTINS, M. V. S. B. et al. Pathogen-specific epitopes as epidemiological tools for defining the magnitude of mycobacterium leprae transmission in areas endemic for leprosy. PLoS Neglected Tropical Diseases, San Francisco, v. 6, n. 4, p. e1616, abr. 2012. 1935-2727 http://www.repositorio.ufc.br/handle/riufc/5315 |
identifier_str_mv |
MARTINS, M. V. S. B. et al. Pathogen-specific epitopes as epidemiological tools for defining the magnitude of mycobacterium leprae transmission in areas endemic for leprosy. PLoS Neglected Tropical Diseases, San Francisco, v. 6, n. 4, p. e1616, abr. 2012. 1935-2727 |
url |
http://www.repositorio.ufc.br/handle/riufc/5315 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
PLoS Neglected Tropical Diseases |
publisher.none.fl_str_mv |
PLoS Neglected Tropical Diseases |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da Universidade Federal do Ceará (UFC) instname:Universidade Federal do Ceará (UFC) instacron:UFC |
instname_str |
Universidade Federal do Ceará (UFC) |
instacron_str |
UFC |
institution |
UFC |
reponame_str |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
collection |
Repositório Institucional da Universidade Federal do Ceará (UFC) |
repository.name.fl_str_mv |
Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC) |
repository.mail.fl_str_mv |
bu@ufc.br || repositorio@ufc.br |
_version_ |
1813028902669385728 |