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Diagnosing Zika virus infection against a background of other flaviviruses: Studies in high resolution serological analysis

Zika virus (ZIKV) is a mosquito-borne flavivirus. Homologous proteins of different flaviviruses display high degrees of sequence identity, especially within subgroups. This leads to extensive immunological cross-reactivity and corresponding problems for developing a ZIKV-specific serological assay....

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Autores principales: Hansen, Sören, Hotop, Sven-Kevin, Faye, Oumar, Ndiaye, Oumar, Böhlken-Fascher, Susanne, Pessôa, Rodrigo, Hufert, Frank, Stahl-Hennig, Christiane, Frank, Ronald, Czerny, Claus-Peter, Schmidt-Chanasit, Jonas, Sanabani, Sabri S., Sall, Amadou A., Niedrig, Matthias, Brönstrup, Mark, Fritz, Hans-Joachim, Abd El Wahed, Ahmed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403343/
https://www.ncbi.nlm.nih.gov/pubmed/30842564
http://dx.doi.org/10.1038/s41598-019-40224-2
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author Hansen, Sören
Hotop, Sven-Kevin
Faye, Oumar
Ndiaye, Oumar
Böhlken-Fascher, Susanne
Pessôa, Rodrigo
Hufert, Frank
Stahl-Hennig, Christiane
Frank, Ronald
Czerny, Claus-Peter
Schmidt-Chanasit, Jonas
Sanabani, Sabri S.
Sall, Amadou A.
Niedrig, Matthias
Brönstrup, Mark
Fritz, Hans-Joachim
Abd El Wahed, Ahmed
author_facet Hansen, Sören
Hotop, Sven-Kevin
Faye, Oumar
Ndiaye, Oumar
Böhlken-Fascher, Susanne
Pessôa, Rodrigo
Hufert, Frank
Stahl-Hennig, Christiane
Frank, Ronald
Czerny, Claus-Peter
Schmidt-Chanasit, Jonas
Sanabani, Sabri S.
Sall, Amadou A.
Niedrig, Matthias
Brönstrup, Mark
Fritz, Hans-Joachim
Abd El Wahed, Ahmed
author_sort Hansen, Sören
collection PubMed
description Zika virus (ZIKV) is a mosquito-borne flavivirus. Homologous proteins of different flaviviruses display high degrees of sequence identity, especially within subgroups. This leads to extensive immunological cross-reactivity and corresponding problems for developing a ZIKV-specific serological assay. In this study, peptide microarrays were employed to identify individual ZIKV antibody targets with promise in differential diagnosis. A total of 1643 overlapping oligopeptides were synthesized and printed onto glass slides. Together, they encompass the full amino acid sequences of ZIKV proteomes of African, Brazilian, USA, and French Polynesian origins. The resulting ZIKV scanning microarray chips were used to screen three pools of sera from recent Zika outbreaks in Senegal and Cape Verde, in Brazil, and from overseas travelers returning to the EU. Together with a mixed pool of well characterized, archived sera of patients suffering from infections by dengue, yellow fever, tick-borne encephalitis, and West Nile viruses, a total of 42 sera went into the study. Sixty-eight antibody target regions were identified. Most of which were hitherto unknown. Alignments and sequence comparisons revealed 13 of which could be classified as bona fide ZIKV-specific. These identified antibody target regions constitute a founding set of analytical tools for serological discrimination of ZIKV from other flaviviruses.
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spelling pubmed-64033432019-03-08 Diagnosing Zika virus infection against a background of other flaviviruses: Studies in high resolution serological analysis Hansen, Sören Hotop, Sven-Kevin Faye, Oumar Ndiaye, Oumar Böhlken-Fascher, Susanne Pessôa, Rodrigo Hufert, Frank Stahl-Hennig, Christiane Frank, Ronald Czerny, Claus-Peter Schmidt-Chanasit, Jonas Sanabani, Sabri S. Sall, Amadou A. Niedrig, Matthias Brönstrup, Mark Fritz, Hans-Joachim Abd El Wahed, Ahmed Sci Rep Article Zika virus (ZIKV) is a mosquito-borne flavivirus. Homologous proteins of different flaviviruses display high degrees of sequence identity, especially within subgroups. This leads to extensive immunological cross-reactivity and corresponding problems for developing a ZIKV-specific serological assay. In this study, peptide microarrays were employed to identify individual ZIKV antibody targets with promise in differential diagnosis. A total of 1643 overlapping oligopeptides were synthesized and printed onto glass slides. Together, they encompass the full amino acid sequences of ZIKV proteomes of African, Brazilian, USA, and French Polynesian origins. The resulting ZIKV scanning microarray chips were used to screen three pools of sera from recent Zika outbreaks in Senegal and Cape Verde, in Brazil, and from overseas travelers returning to the EU. Together with a mixed pool of well characterized, archived sera of patients suffering from infections by dengue, yellow fever, tick-borne encephalitis, and West Nile viruses, a total of 42 sera went into the study. Sixty-eight antibody target regions were identified. Most of which were hitherto unknown. Alignments and sequence comparisons revealed 13 of which could be classified as bona fide ZIKV-specific. These identified antibody target regions constitute a founding set of analytical tools for serological discrimination of ZIKV from other flaviviruses. Nature Publishing Group UK 2019-03-06 /pmc/articles/PMC6403343/ /pubmed/30842564 http://dx.doi.org/10.1038/s41598-019-40224-2 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Hansen, Sören
Hotop, Sven-Kevin
Faye, Oumar
Ndiaye, Oumar
Böhlken-Fascher, Susanne
Pessôa, Rodrigo
Hufert, Frank
Stahl-Hennig, Christiane
Frank, Ronald
Czerny, Claus-Peter
Schmidt-Chanasit, Jonas
Sanabani, Sabri S.
Sall, Amadou A.
Niedrig, Matthias
Brönstrup, Mark
Fritz, Hans-Joachim
Abd El Wahed, Ahmed
Diagnosing Zika virus infection against a background of other flaviviruses: Studies in high resolution serological analysis
title Diagnosing Zika virus infection against a background of other flaviviruses: Studies in high resolution serological analysis
title_full Diagnosing Zika virus infection against a background of other flaviviruses: Studies in high resolution serological analysis
title_fullStr Diagnosing Zika virus infection against a background of other flaviviruses: Studies in high resolution serological analysis
title_full_unstemmed Diagnosing Zika virus infection against a background of other flaviviruses: Studies in high resolution serological analysis
title_short Diagnosing Zika virus infection against a background of other flaviviruses: Studies in high resolution serological analysis
title_sort diagnosing zika virus infection against a background of other flaviviruses: studies in high resolution serological analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6403343/
https://www.ncbi.nlm.nih.gov/pubmed/30842564
http://dx.doi.org/10.1038/s41598-019-40224-2
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