From genome-based in silico predictions to ex vivo verification of leprosy diagnosis

Detalhes bibliográficos
Autor(a) principal: Pessolani, Maria Cristina V.
Data de Publicação: 2009
Outros Autores: Pereira, Geraldo M. B., IDEAL Consortium, Múltipla autoria
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
DOI: 10.1128/CVI.00414-08
Texto Completo: https://www.arca.fiocruz.br/handle/icict/28941
Resumo: AUTORS: Annemieke Geluk,1* John S. Spencer,2 Kidist Bobosha,9 Maria C. V. Pessolani,3 Geraldo M. B. Pereira,3,4 Sayera Banu,5 Nadine Honore´,6 Stephen T. Reece,7 Murdo MacDonald,8 Bishwa Raj Sapkota,8 Chaman Ranjit,8 Kees L. M. C. Franken,1 Martha Zewdie,9 Abraham Aseffa,9 Rabia Hussain,10 Mariane M. Stefani,11 Sang-Nae Cho,12 Linda Oskam,13 Patrick J. Brennan,2 and Hazel M. Dockrell,8,14 on behalf of the IDEAL Consortium. AFFILIATIONS: Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands1; Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado2; Laboratory of Cellular Microbiology, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil3; Laboratory of Immunopathology, School of Medical Sciences, State University of Rio de Janeiro, Rio de Janeiro, Brazil4; International Center for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh5; Institute Pasteur, Paris, France6; Infectious Disease Research Institute, Seattle, Washington7; Mycobacterial Research Laboratory, Anandaban Hospital, Anandaban, Nepal8; Armauer Hansen Research Institute, Addis Ababa, Ethiopia9; Aga Khan University, Karachi, Pakistan10; Tropical Pathology and Public Health Institute, Federal University of Goia´s, Goiaˆnia, Brazil11; Yonsei University, Seoul, South Korea12; Royal Tropical Institute, Amsterdam, The Netherlands13; and London School of Hygiene & Tropical Medicine, London, United Kingdom14.
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spelling Pessolani, Maria Cristina V.Pereira, Geraldo M. B.IDEAL ConsortiumMúltipla autoria2018-09-20T15:29:20Z2018-09-20T15:29:20Z2009GELUK, Annemieke; et al. From Genome-Based In Silico Predictions to Ex Vivo Verification of Leprosy Diagnosis. Clinical and Vaccine Immunology, v.16, n.3, p.352-359, Mar. 2009.1556-6811https://www.arca.fiocruz.br/handle/icict/2894110.1128/CVI.00414-081556-679XAUTORS: Annemieke Geluk,1* John S. Spencer,2 Kidist Bobosha,9 Maria C. V. Pessolani,3 Geraldo M. B. Pereira,3,4 Sayera Banu,5 Nadine Honore´,6 Stephen T. Reece,7 Murdo MacDonald,8 Bishwa Raj Sapkota,8 Chaman Ranjit,8 Kees L. M. C. Franken,1 Martha Zewdie,9 Abraham Aseffa,9 Rabia Hussain,10 Mariane M. Stefani,11 Sang-Nae Cho,12 Linda Oskam,13 Patrick J. Brennan,2 and Hazel M. Dockrell,8,14 on behalf of the IDEAL Consortium. AFFILIATIONS: Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands1; Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado2; Laboratory of Cellular Microbiology, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil3; Laboratory of Immunopathology, School of Medical Sciences, State University of Rio de Janeiro, Rio de Janeiro, Brazil4; International Center for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh5; Institute Pasteur, Paris, France6; Infectious Disease Research Institute, Seattle, Washington7; Mycobacterial Research Laboratory, Anandaban Hospital, Anandaban, Nepal8; Armauer Hansen Research Institute, Addis Ababa, Ethiopia9; Aga Khan University, Karachi, Pakistan10; Tropical Pathology and Public Health Institute, Federal University of Goia´s, Goiaˆnia, Brazil11; Yonsei University, Seoul, South Korea12; Royal Tropical Institute, Amsterdam, The Netherlands13; and London School of Hygiene & Tropical Medicine, London, United Kingdom14.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Microbiologia Celular. Rio de Janeiro, RJ, Brasil.Fundação Oswaldo Cruz. Instituto Oswaldo Cruz. Laboratório de Microbiologia Celular. Rio de Janeiro, RJ, Brasil / Universidade do Estado do Rio de Janeiro. Faculdade de Ciências Médicas. Laboratório de Imunopatologia. Rio de Janeiro, RJ, Brasil.Múltipla autoria - ver NotasThe detection of hundreds of thousands of new cases of leprosy every year suggests that transmission of Mycobacterium leprae infection still continues. Unfortunately, tools for identification of asymptomatic disease and/or early-stage M. leprae infection (likely sources of transmission) are lacking. The recent identification of M. leprae-unique genes has allowed the analysis of human T-cell responses to novel M. leprae antigens. Antigens with the most-promising diagnostic potential were tested for their ability to induce cytokine secretion by using peripheral blood mononuclear cells from leprosy patients and controls in five different areas where leprosy is endemic; 246 individuals from Brazil, Nepal, Bangladesh, Pakistan, and Ethiopia were analyzed for gamma interferon responses to five recombinant proteins (ML1989, ML1990, ML2283, ML2346, and ML2567) and 22 synthetic peptides. Of these, the M. leprae-unique protein ML1989 was the most frequently recognized and ML2283 the most specific for M. leprae infection/exposure, as only a limited number of tuberculosis patients responded to this antigen. However, all proteins were recognized by a significant number of controls in areas of endemicity. T-cell responses correlated with in vitro response to M. leprae, suggesting that healthy controls in areas where leprosy is endemic are exposed to M. leprae. Importantly, 50% of the healthy household contacts and 59% of the controls in areas of endemicity had no detectable immunoglobulin M antibodies to M. leprae-specific PGL-I but responded in T-cell assays to >or=1 M. leprae protein. T-cell responses specific for leprosy patients and healthy household contacts were observed for ML2283- and ML0126-derived peptides, indicating that M. leprae peptides hold potential as diagnostic tools. Future work should concentrate on the development of a sensitive and field-friendly assay and identification of additional peptides and proteins that can induce M. leprae-specific T-cell responses.engAmerican Society for MicrobiologyHanseníaseMycobacterium lepraeDiagnósticoInfecçãoLeprosyMycobacterium lepraediagnosisinfectionFrom genome-based in silico predictions to ex vivo verification of leprosy diagnosisinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; 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dc.title.pt_BR.fl_str_mv From genome-based in silico predictions to ex vivo verification of leprosy diagnosis
title From genome-based in silico predictions to ex vivo verification of leprosy diagnosis
spellingShingle From genome-based in silico predictions to ex vivo verification of leprosy diagnosis
Pessolani, Maria Cristina V.
Hanseníase
Mycobacterium leprae
Diagnóstico
Infecção
Leprosy
Mycobacterium leprae
diagnosis
infection
title_short From genome-based in silico predictions to ex vivo verification of leprosy diagnosis
title_full From genome-based in silico predictions to ex vivo verification of leprosy diagnosis
title_fullStr From genome-based in silico predictions to ex vivo verification of leprosy diagnosis
title_full_unstemmed From genome-based in silico predictions to ex vivo verification of leprosy diagnosis
title_sort From genome-based in silico predictions to ex vivo verification of leprosy diagnosis
author Pessolani, Maria Cristina V.
author_facet Pessolani, Maria Cristina V.
Pereira, Geraldo M. B.
IDEAL Consortium
Múltipla autoria
author_role author
author2 Pereira, Geraldo M. B.
IDEAL Consortium
Múltipla autoria
author2_role author
author
author
dc.contributor.author.fl_str_mv Pessolani, Maria Cristina V.
Pereira, Geraldo M. B.
IDEAL Consortium
Múltipla autoria
dc.subject.other.pt_BR.fl_str_mv Hanseníase
Mycobacterium leprae
Diagnóstico
Infecção
topic Hanseníase
Mycobacterium leprae
Diagnóstico
Infecção
Leprosy
Mycobacterium leprae
diagnosis
infection
dc.subject.en.pt_BR.fl_str_mv Leprosy
Mycobacterium leprae
diagnosis
infection
description AUTORS: Annemieke Geluk,1* John S. Spencer,2 Kidist Bobosha,9 Maria C. V. Pessolani,3 Geraldo M. B. Pereira,3,4 Sayera Banu,5 Nadine Honore´,6 Stephen T. Reece,7 Murdo MacDonald,8 Bishwa Raj Sapkota,8 Chaman Ranjit,8 Kees L. M. C. Franken,1 Martha Zewdie,9 Abraham Aseffa,9 Rabia Hussain,10 Mariane M. Stefani,11 Sang-Nae Cho,12 Linda Oskam,13 Patrick J. Brennan,2 and Hazel M. Dockrell,8,14 on behalf of the IDEAL Consortium. AFFILIATIONS: Department of Infectious Diseases, Leiden University Medical Center, Leiden, The Netherlands1; Department of Microbiology, Immunology and Pathology, Colorado State University, Fort Collins, Colorado2; Laboratory of Cellular Microbiology, Oswaldo Cruz Institute, Fiocruz, Rio de Janeiro, Brazil3; Laboratory of Immunopathology, School of Medical Sciences, State University of Rio de Janeiro, Rio de Janeiro, Brazil4; International Center for Diarrhoeal Disease Research, Bangladesh, Dhaka, Bangladesh5; Institute Pasteur, Paris, France6; Infectious Disease Research Institute, Seattle, Washington7; Mycobacterial Research Laboratory, Anandaban Hospital, Anandaban, Nepal8; Armauer Hansen Research Institute, Addis Ababa, Ethiopia9; Aga Khan University, Karachi, Pakistan10; Tropical Pathology and Public Health Institute, Federal University of Goia´s, Goiaˆnia, Brazil11; Yonsei University, Seoul, South Korea12; Royal Tropical Institute, Amsterdam, The Netherlands13; and London School of Hygiene & Tropical Medicine, London, United Kingdom14.
publishDate 2009
dc.date.issued.fl_str_mv 2009
dc.date.accessioned.fl_str_mv 2018-09-20T15:29:20Z
dc.date.available.fl_str_mv 2018-09-20T15:29:20Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.citation.fl_str_mv GELUK, Annemieke; et al. From Genome-Based In Silico Predictions to Ex Vivo Verification of Leprosy Diagnosis. Clinical and Vaccine Immunology, v.16, n.3, p.352-359, Mar. 2009.
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/28941
dc.identifier.issn.pt_BR.fl_str_mv 1556-6811
dc.identifier.doi.none.fl_str_mv 10.1128/CVI.00414-08
dc.identifier.eissn.none.fl_str_mv 1556-679X
identifier_str_mv GELUK, Annemieke; et al. From Genome-Based In Silico Predictions to Ex Vivo Verification of Leprosy Diagnosis. Clinical and Vaccine Immunology, v.16, n.3, p.352-359, Mar. 2009.
1556-6811
10.1128/CVI.00414-08
1556-679X
url https://www.arca.fiocruz.br/handle/icict/28941
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.publisher.none.fl_str_mv American Society for Microbiology
publisher.none.fl_str_mv American Society for Microbiology
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
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