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Development and evaluation of a novel high-throughput image-based fluorescent neutralization test for detection of Zika virus infection

Zika virus (ZIKV) is an emerging arbovirus belonging to the genus flavivirus that comprises other important public health viruses, such as dengue (DENV) and yellow fever (YFV). In general, ZIKV infection is a self-limiting disease, however cases of Guillain-Barré syndrome and congenital brain abnorm...

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Autores principales: Koishi, Andrea Cristine, Suzukawa, Andréia Akemi, Zanluca, Camila, Camacho, Daria Elena, Comach, Guillermo, Duarte dos Santos, Claudia Nunes
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871014/
https://www.ncbi.nlm.nih.gov/pubmed/29543803
http://dx.doi.org/10.1371/journal.pntd.0006342
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author Koishi, Andrea Cristine
Suzukawa, Andréia Akemi
Zanluca, Camila
Camacho, Daria Elena
Comach, Guillermo
Duarte dos Santos, Claudia Nunes
author_facet Koishi, Andrea Cristine
Suzukawa, Andréia Akemi
Zanluca, Camila
Camacho, Daria Elena
Comach, Guillermo
Duarte dos Santos, Claudia Nunes
author_sort Koishi, Andrea Cristine
collection PubMed
description Zika virus (ZIKV) is an emerging arbovirus belonging to the genus flavivirus that comprises other important public health viruses, such as dengue (DENV) and yellow fever (YFV). In general, ZIKV infection is a self-limiting disease, however cases of Guillain-Barré syndrome and congenital brain abnormalities in newborn infants have been reported. Diagnosing ZIKV infection remains a challenge, as viral RNA detection is only applicable until a few days after the onset of symptoms. After that, serological tests must be applied, and, as expected, high cross-reactivity between ZIKV and other flavivirus serology is observed. Plaque reduction neutralization test (PRNT) is indicated to confirm positive samples for being more specific, however it is laborious intensive and time consuming, representing a major bottleneck for patient diagnosis. To overcome this limitation, we developed a high-throughput image-based fluorescent neutralization test for ZIKV infection by serological detection. Using 226 human specimens, we showed that the new test presented higher throughput than traditional PRNT, maintaining the correlation between results. Furthermore, when tested with dengue virus samples, it showed 50.53% less cross reactivity than MAC-ELISA. This fluorescent neutralization test could be used for clinical diagnosis confirmation of ZIKV infection, as well as for vaccine clinical trials and seroprevalence studies.
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spelling pubmed-58710142018-04-06 Development and evaluation of a novel high-throughput image-based fluorescent neutralization test for detection of Zika virus infection Koishi, Andrea Cristine Suzukawa, Andréia Akemi Zanluca, Camila Camacho, Daria Elena Comach, Guillermo Duarte dos Santos, Claudia Nunes PLoS Negl Trop Dis Research Article Zika virus (ZIKV) is an emerging arbovirus belonging to the genus flavivirus that comprises other important public health viruses, such as dengue (DENV) and yellow fever (YFV). In general, ZIKV infection is a self-limiting disease, however cases of Guillain-Barré syndrome and congenital brain abnormalities in newborn infants have been reported. Diagnosing ZIKV infection remains a challenge, as viral RNA detection is only applicable until a few days after the onset of symptoms. After that, serological tests must be applied, and, as expected, high cross-reactivity between ZIKV and other flavivirus serology is observed. Plaque reduction neutralization test (PRNT) is indicated to confirm positive samples for being more specific, however it is laborious intensive and time consuming, representing a major bottleneck for patient diagnosis. To overcome this limitation, we developed a high-throughput image-based fluorescent neutralization test for ZIKV infection by serological detection. Using 226 human specimens, we showed that the new test presented higher throughput than traditional PRNT, maintaining the correlation between results. Furthermore, when tested with dengue virus samples, it showed 50.53% less cross reactivity than MAC-ELISA. This fluorescent neutralization test could be used for clinical diagnosis confirmation of ZIKV infection, as well as for vaccine clinical trials and seroprevalence studies. Public Library of Science 2018-03-15 /pmc/articles/PMC5871014/ /pubmed/29543803 http://dx.doi.org/10.1371/journal.pntd.0006342 Text en © 2018 Koishi et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Koishi, Andrea Cristine
Suzukawa, Andréia Akemi
Zanluca, Camila
Camacho, Daria Elena
Comach, Guillermo
Duarte dos Santos, Claudia Nunes
Development and evaluation of a novel high-throughput image-based fluorescent neutralization test for detection of Zika virus infection
title Development and evaluation of a novel high-throughput image-based fluorescent neutralization test for detection of Zika virus infection
title_full Development and evaluation of a novel high-throughput image-based fluorescent neutralization test for detection of Zika virus infection
title_fullStr Development and evaluation of a novel high-throughput image-based fluorescent neutralization test for detection of Zika virus infection
title_full_unstemmed Development and evaluation of a novel high-throughput image-based fluorescent neutralization test for detection of Zika virus infection
title_short Development and evaluation of a novel high-throughput image-based fluorescent neutralization test for detection of Zika virus infection
title_sort development and evaluation of a novel high-throughput image-based fluorescent neutralization test for detection of zika virus infection
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5871014/
https://www.ncbi.nlm.nih.gov/pubmed/29543803
http://dx.doi.org/10.1371/journal.pntd.0006342
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