The inability of a dengue NS1 ELISA to detect Zika infections

The presence of dengue virus (DENV), Zika virus (ZIKV) and Chikungunya virus (CHIKV) in Brazil, may result in a difficult diagnosis due to the signs and symptoms shared by those. Moreover, as DENV and ZIKV belong to the same family, serological assays may show a high rate of cross-reactivity. Here,...

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Autores principales: Lima, Monique da Rocha Queiroz, Chouin-Carneiro, Thais, Azeredo, Elzinandes, Barbosa, Luciana Santos, Souza, Thiara Manuele Alves, Silva, Jéssica Badolato Corrêa da, Nunes, Priscila Conrado Guerra, Dal Fabbro, Márcia, Facco, Izilyanne H. Romanholi, Venâncio-da-Cunha, Rivaldo, dos Santos, Flavia Barreto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
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Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901494/
https://www.ncbi.nlm.nih.gov/pubmed/31819129
http://dx.doi.org/10.1038/s41598-019-55160-4
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author Lima, Monique da Rocha Queiroz
Chouin-Carneiro, Thais
Azeredo, Elzinandes
Barbosa, Luciana Santos
Souza, Thiara Manuele Alves
Silva, Jéssica Badolato Corrêa da
Nunes, Priscila Conrado Guerra
Dal Fabbro, Márcia
Facco, Izilyanne H. Romanholi
Venâncio-da-Cunha, Rivaldo
dos Santos, Flavia Barreto
author_facet Lima, Monique da Rocha Queiroz
Chouin-Carneiro, Thais
Azeredo, Elzinandes
Barbosa, Luciana Santos
Souza, Thiara Manuele Alves
Silva, Jéssica Badolato Corrêa da
Nunes, Priscila Conrado Guerra
Dal Fabbro, Márcia
Facco, Izilyanne H. Romanholi
Venâncio-da-Cunha, Rivaldo
dos Santos, Flavia Barreto
author_sort Lima, Monique da Rocha Queiroz
collection PubMed
description The presence of dengue virus (DENV), Zika virus (ZIKV) and Chikungunya virus (CHIKV) in Brazil, may result in a difficult diagnosis due to the signs and symptoms shared by those. Moreover, as DENV and ZIKV belong to the same family, serological assays may show a high rate of cross-reactivity. Here, we evaluated a Dengue NS1 capture assay for early and differential diagnosis of dengue during the Zika epidemic occurred in Brazil in 2016. Samples (n = 227) from 218 patients included sera, plasma and urine from previously confirmed acute cases of Zika, dengue and Zika/dengue co-infections. Nine of those patients presented two specimens. The Dengue NS1 test was very specific for dengue diagnosis (99.32%), even in the co-circulation with ZIKV, and exhibited a high accuracy in not detecting acute Zika infections (92.43%). Our findings showed that the dengue NS1 capture test analyzed here was not able to recognize the ZIKV NS1 and its potential for cross-reaction.
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spelling pubmed-69014942019-12-12 The inability of a dengue NS1 ELISA to detect Zika infections Lima, Monique da Rocha Queiroz Chouin-Carneiro, Thais Azeredo, Elzinandes Barbosa, Luciana Santos Souza, Thiara Manuele Alves Silva, Jéssica Badolato Corrêa da Nunes, Priscila Conrado Guerra Dal Fabbro, Márcia Facco, Izilyanne H. Romanholi Venâncio-da-Cunha, Rivaldo dos Santos, Flavia Barreto Sci Rep Article The presence of dengue virus (DENV), Zika virus (ZIKV) and Chikungunya virus (CHIKV) in Brazil, may result in a difficult diagnosis due to the signs and symptoms shared by those. Moreover, as DENV and ZIKV belong to the same family, serological assays may show a high rate of cross-reactivity. Here, we evaluated a Dengue NS1 capture assay for early and differential diagnosis of dengue during the Zika epidemic occurred in Brazil in 2016. Samples (n = 227) from 218 patients included sera, plasma and urine from previously confirmed acute cases of Zika, dengue and Zika/dengue co-infections. Nine of those patients presented two specimens. The Dengue NS1 test was very specific for dengue diagnosis (99.32%), even in the co-circulation with ZIKV, and exhibited a high accuracy in not detecting acute Zika infections (92.43%). Our findings showed that the dengue NS1 capture test analyzed here was not able to recognize the ZIKV NS1 and its potential for cross-reaction. Nature Publishing Group UK 2019-12-09 /pmc/articles/PMC6901494/ /pubmed/31819129 http://dx.doi.org/10.1038/s41598-019-55160-4 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
Lima, Monique da Rocha Queiroz
Chouin-Carneiro, Thais
Azeredo, Elzinandes
Barbosa, Luciana Santos
Souza, Thiara Manuele Alves
Silva, Jéssica Badolato Corrêa da
Nunes, Priscila Conrado Guerra
Dal Fabbro, Márcia
Facco, Izilyanne H. Romanholi
Venâncio-da-Cunha, Rivaldo
dos Santos, Flavia Barreto
The inability of a dengue NS1 ELISA to detect Zika infections
title The inability of a dengue NS1 ELISA to detect Zika infections
title_full The inability of a dengue NS1 ELISA to detect Zika infections
title_fullStr The inability of a dengue NS1 ELISA to detect Zika infections
title_full_unstemmed The inability of a dengue NS1 ELISA to detect Zika infections
title_short The inability of a dengue NS1 ELISA to detect Zika infections
title_sort inability of a dengue ns1 elisa to detect zika infections
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6901494/
https://www.ncbi.nlm.nih.gov/pubmed/31819129
http://dx.doi.org/10.1038/s41598-019-55160-4
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