Selecting targets for the diagnosis of Schistosoma mansoni infection: An integrative approach using multi-omic and immunoinformatics data.

Detalhes bibliográficos
Autor(a) principal: Carvalho, Gardenia Braz Figueiredo de
Data de Publicação: 2017
Outros Autores: Resende, Daniela M, Siqueira, Liliane Maria Vidal, Lopes, Marcelo D., Lopes, Debora O., Coelho, Paulo Marcos Zech, Carvalho, Andrea Teixeira de, Ruiz, Jeronimo Conceiçao, Fonseca, Cristina Toscano
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da FIOCRUZ (ARCA)
Texto Completo: https://www.arca.fiocruz.br/handle/icict/25481
Resumo: Fundação Oswaldo Cruz. Instituto Rene Rachou. Biologia e Imunologia de Doenças Infecciosas e Parasitaria. Belo Horizonte, MG, Brazil/Rede Fiocruz Minas de Identificação e Produção de Antıgenos–RIPAG. Belo Horizonte, Minas Gerais, Brazil
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spelling Carvalho, Gardenia Braz Figueiredo deResende, Daniela MSiqueira, Liliane Maria VidalLopes, Marcelo D.Lopes, Debora O.Coelho, Paulo Marcos ZechCarvalho, Andrea Teixeira deRuiz, Jeronimo ConceiçaoFonseca, Cristina Toscano2018-03-23T18:52:01Z2018-03-23T18:52:01Z2017Carvalho, Gardenia Braz Figueiredo de et al. Selecting targets for the diagnosis of Schistosoma mansoni infection: An integrative approach using multi-omic and immunoinformatics data. PLoS One, v; 12, n. 8, e0182299, 20171932-6203https://www.arca.fiocruz.br/handle/icict/2548110.1371/journal.pone.0182299engPublic Library of ScienceEsquistossomoseschistosomiasisSelecting targets for the diagnosis of Schistosoma mansoni infection: An integrative approach using multi-omic and immunoinformatics data.info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleFundação Oswaldo Cruz. Instituto Rene Rachou. Biologia e Imunologia de Doenças Infecciosas e Parasitaria. Belo Horizonte, MG, Brazil/Rede Fiocruz Minas de Identificação e Produção de Antıgenos–RIPAG. Belo Horizonte, Minas Gerais, BrazilFundação Oswaldo Cruz. Instituto Oswaldo Cruz. Programa de Pos-graduação em Biologia Computacional e Sistemas. Rio de Janeiro, RJ, Brazil/Fundação Oswaldo Cruz. Instituto Rene Rachou. Informatica de Biosistemas. Belo Horizonte, MG, BrazilFundação Oswaldo Cruz. Instituto Rene Rachou. Biologia do Schistosoma mansoni e sua interação com o hospedeiro. Belo Horizonte, MG, BrazilUniversidade Federal de São João Del-Rei. Laboratorio de Biologia Molecular. Divinopolis, MG, BrazilUniversidade Federal de São João Del-Rei. Laboratorio de Biologia Molecular. Divinopolis, MG, BrazilFundação Oswaldo Cruz. Instituto Rene Rachou. Biologia do Schistosoma mansoni e sua interação com o hospedeiro. Belo Horizonte, MG, BrazilFundação Oswaldo Cruz. Instituto Rene Rachou. Grupo Integrado de Pesquisas em Biomarcadores. Belo Horizonte, MG, BrazilFundação Oswaldo Cruz. Instituto Rene Rachou. Informatica de Biosistemas. Belo Horizonte, MG, BrazilFundação Oswaldo Cruz. Instituto Rene Rachou. Biologia e Imunologia de Doenças Infecciosas e Parasitaria. Belo Horizonte, MG, Brazil/Rede Fiocruz Minas de Identificação e Produção de Antıgenos–RIPAG. Belo Horizonte, Minas Gerais, BrazilIn order to effectively control and monitor schistosomiasis, new diagnostic methods are essential. Taking advantage of computational approaches provided by immunoinformatics and considering the availability of Schistosoma mansoni predicted proteome information, candidate antigens of schistosomiasis were selected and used in immunodiagnosis tests based on Enzime-linked Immunosorbent Assay (ELISA). The computational selection strategy was based on signal peptide prediction; low similarity to human proteins; B- and T-cell epitope prediction; location and expression in different parasite life stages within definitive host. Results of the above-mentioned analysis were parsed to extract meaningful biological information and loaded into a relational database developed to integrate them. In the end, seven proteins were selected and one B-cell linear epitope from each one of them was selected using B-cell epitope score and the presence of intrinsically disordered regions (IDRs). These predicted epitopes generated synthetic peptides that were used in ELISA assays to validate the rational strategy of in silico selection. ELISA was performed using sera from residents of areas of low endemicity for S. mansoni infection and also from healthy donors (HD), not living in an endemic area for schistosomiasis. Discrimination of negative (NEG) and positive (INF) individuals from endemic areas was performed using parasitological and molecular methods. All infected individuals were treated with praziquantel, and serum samples were obtained from them 30 and 180 days post-treatment (30DPT and 180DPT). Results revealed higher IgG levels in INF group than in HD and NEG groups when peptides 1, 3, 4, 5 and 7 were used. Moreover, using peptide 5, ELISA achieved the best performance, since it could discriminate between individuals living in an endemic área that were actively infected from those that were not (NEG, 30DPT, 180DPT groups). Our experimental results also indicate that the computational prediction approach developed is feasible for identifying promising candidates for the diagnosis of schistosomiasis and other diseasesinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da FIOCRUZ (ARCA)instname:Fundação Oswaldo Cruz (FIOCRUZ)instacron:FIOCRUZLICENSElicense.txtlicense.txttext/plain; charset=utf-83082https://www.arca.fiocruz.br/bitstream/icict/25481/1/license.txt9193a7c197bc67acd023525e72a03240MD51ORIGINALSelecting targets for the diagnosis of.pdfSelecting targets for the diagnosis of.pdfapplication/pdf1576063https://www.arca.fiocruz.br/bitstream/icict/25481/2/Selecting%20targets%20for%20the%20diagnosis%20of.pdfd740d6b6415ede9daa81363b82d91ccfMD52TEXTSelecting targets for the diagnosis of.pdf.txtSelecting targets for the diagnosis of.pdf.txtExtracted 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dc.title.pt_BR.fl_str_mv Selecting targets for the diagnosis of Schistosoma mansoni infection: An integrative approach using multi-omic and immunoinformatics data.
title Selecting targets for the diagnosis of Schistosoma mansoni infection: An integrative approach using multi-omic and immunoinformatics data.
spellingShingle Selecting targets for the diagnosis of Schistosoma mansoni infection: An integrative approach using multi-omic and immunoinformatics data.
Carvalho, Gardenia Braz Figueiredo de
Esquistossomose
schistosomiasis
title_short Selecting targets for the diagnosis of Schistosoma mansoni infection: An integrative approach using multi-omic and immunoinformatics data.
title_full Selecting targets for the diagnosis of Schistosoma mansoni infection: An integrative approach using multi-omic and immunoinformatics data.
title_fullStr Selecting targets for the diagnosis of Schistosoma mansoni infection: An integrative approach using multi-omic and immunoinformatics data.
title_full_unstemmed Selecting targets for the diagnosis of Schistosoma mansoni infection: An integrative approach using multi-omic and immunoinformatics data.
title_sort Selecting targets for the diagnosis of Schistosoma mansoni infection: An integrative approach using multi-omic and immunoinformatics data.
author Carvalho, Gardenia Braz Figueiredo de
author_facet Carvalho, Gardenia Braz Figueiredo de
Resende, Daniela M
Siqueira, Liliane Maria Vidal
Lopes, Marcelo D.
Lopes, Debora O.
Coelho, Paulo Marcos Zech
Carvalho, Andrea Teixeira de
Ruiz, Jeronimo Conceiçao
Fonseca, Cristina Toscano
author_role author
author2 Resende, Daniela M
Siqueira, Liliane Maria Vidal
Lopes, Marcelo D.
Lopes, Debora O.
Coelho, Paulo Marcos Zech
Carvalho, Andrea Teixeira de
Ruiz, Jeronimo Conceiçao
Fonseca, Cristina Toscano
author2_role author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Carvalho, Gardenia Braz Figueiredo de
Resende, Daniela M
Siqueira, Liliane Maria Vidal
Lopes, Marcelo D.
Lopes, Debora O.
Coelho, Paulo Marcos Zech
Carvalho, Andrea Teixeira de
Ruiz, Jeronimo Conceiçao
Fonseca, Cristina Toscano
dc.subject.other.pt_BR.fl_str_mv Esquistossomose
topic Esquistossomose
schistosomiasis
dc.subject.en.pt_BR.fl_str_mv schistosomiasis
description Fundação Oswaldo Cruz. Instituto Rene Rachou. Biologia e Imunologia de Doenças Infecciosas e Parasitaria. Belo Horizonte, MG, Brazil/Rede Fiocruz Minas de Identificação e Produção de Antıgenos–RIPAG. Belo Horizonte, Minas Gerais, Brazil
publishDate 2017
dc.date.issued.fl_str_mv 2017
dc.date.accessioned.fl_str_mv 2018-03-23T18:52:01Z
dc.date.available.fl_str_mv 2018-03-23T18:52:01Z
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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status_str publishedVersion
dc.identifier.citation.fl_str_mv Carvalho, Gardenia Braz Figueiredo de et al. Selecting targets for the diagnosis of Schistosoma mansoni infection: An integrative approach using multi-omic and immunoinformatics data. PLoS One, v; 12, n. 8, e0182299, 2017
dc.identifier.uri.fl_str_mv https://www.arca.fiocruz.br/handle/icict/25481
dc.identifier.issn.pt_BR.fl_str_mv 1932-6203
dc.identifier.doi.none.fl_str_mv 10.1371/journal.pone.0182299
identifier_str_mv Carvalho, Gardenia Braz Figueiredo de et al. Selecting targets for the diagnosis of Schistosoma mansoni infection: An integrative approach using multi-omic and immunoinformatics data. PLoS One, v; 12, n. 8, e0182299, 2017
1932-6203
10.1371/journal.pone.0182299
url https://www.arca.fiocruz.br/handle/icict/25481
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 Public Library of Science
publisher.none.fl_str_mv Public Library of Science
dc.source.none.fl_str_mv reponame:Repositório Institucional da FIOCRUZ (ARCA)
instname:Fundação Oswaldo Cruz (FIOCRUZ)
instacron:FIOCRUZ
instname_str Fundação Oswaldo Cruz (FIOCRUZ)
instacron_str FIOCRUZ
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