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Open AccessArticle

Identification of B-Cell Epitopes with Potential to Serologicaly Discrimnate Dengue from Zika Infections

Laboratório de Virologia Básica e Aplicada, Departamento de Microbiologia, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil
Laboratório de Pesquisa em Virologia, Departamento de Doenças Infecciosas e Parasitárias, Faculdade de Medicina de São José do Rio Preto, São José do Rio Preto 15090-000, Brazil
Laboratório de Imunologia e Genômica de Parasitos, Departamento de Parasitologia, Universidade Federal de Minas Gerais, Belo Horizonte 31270-901, Brazil
Fundação Ezequiel Dias, FUNED, Belo Horizonte 30510-010, Brazil
Author to whom correspondence should be addressed.
Viruses 2019, 11(11), 1079;
Received: 24 October 2019 / Revised: 14 November 2019 / Accepted: 15 November 2019 / Published: 19 November 2019
(This article belongs to the Special Issue Emerging Viruses: Surveillance, Prevention, Evolution and Control)
Dengue is currently one of the most important arbovirus infections worldwide. Early diagnosis is important for disease outcome, particularly for those afflicted with the severe forms of infection. The goal of this work was to identify conserved and polymorphic linear B-cell Dengue virus (DENV) epitopes that could be used for diagnostic purposes. To this end, we aligned the predicted viral proteome of the four DENV serotype and performed in silico B-cell epitope mapping. We developed a script in Perl integrating alignment and prediction information to identify potential serotype-specific epitopes. We excluded epitopes that were similarly present in the yellow fever and zika viruses’ proteomes. A total of 15 polymorphic and nine conserved peptides among DENV serotypes were selected. Peptides were spotted on cellulose membranes and tested against sera from rabbits that were monoinfected with each DENV serotype. Although serotype-specific peptides failed to recognize any sera, three conserved peptides were recognized by all anti-dengue sera and were included on an ELISA test employing a well-characterized human sera bank. Of the three peptides, one was able to efficiently identify sera from all four DENV serotypes and to discriminate them from Zika virus positive sera. View Full-Text
Keywords: dengue diagnose; Zika; peptides; epitopes; pepELISA dengue diagnose; Zika; peptides; epitopes; pepELISA
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Versiani, A.F.; Rocha, R.P.; Mendes, T.A.O.; Pereira, G.C.; Coelho dos Reis, J.G.A.; Bartholomeu, D.C.; da Fonseca, F.G. Identification of B-Cell Epitopes with Potential to Serologicaly Discrimnate Dengue from Zika Infections. Viruses 2019, 11, 1079.

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