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Dengue Virus IgM Serotyping by ELISA with Recombinant Mutant Envelope Proteins
We developed an IgM-based ELISA that identifies the dengue virus serotype of recent infections. Dominant serotypes were detectable in 91.1% of samples from travelers and 86.5% of samples from residents of endemic regions; 97.1% corresponded to the serotype identified by PCR. This ELISA enables more...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Centers for Disease Control and Prevention
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302594/ https://www.ncbi.nlm.nih.gov/pubmed/30387417 http://dx.doi.org/10.3201/eid2501.180605 |
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author | Rockstroh, Alexandra Barzon, Luisa Kumbukgolla, Widuranga Su, Hoang Xuan Lizarazo, Erley Vincenti-Gonzalez, Maria Fernanda Tami, Adriana Ornelas, Alice M.M. Aguiar, Renato Santana Cadar, Daniel Schmidt-Chanasit, Jonas Ulbert, Sebastian |
author_facet | Rockstroh, Alexandra Barzon, Luisa Kumbukgolla, Widuranga Su, Hoang Xuan Lizarazo, Erley Vincenti-Gonzalez, Maria Fernanda Tami, Adriana Ornelas, Alice M.M. Aguiar, Renato Santana Cadar, Daniel Schmidt-Chanasit, Jonas Ulbert, Sebastian |
author_sort | Rockstroh, Alexandra |
collection | PubMed |
description | We developed an IgM-based ELISA that identifies the dengue virus serotype of recent infections. Dominant serotypes were detectable in 91.1% of samples from travelers and 86.5% of samples from residents of endemic regions; 97.1% corresponded to the serotype identified by PCR. This ELISA enables more accurate reporting of epidemiologic findings. |
format | Online Article Text |
id | pubmed-6302594 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Centers for Disease Control and Prevention |
record_format | MEDLINE/PubMed |
spelling | pubmed-63025942019-01-01 Dengue Virus IgM Serotyping by ELISA with Recombinant Mutant Envelope Proteins Rockstroh, Alexandra Barzon, Luisa Kumbukgolla, Widuranga Su, Hoang Xuan Lizarazo, Erley Vincenti-Gonzalez, Maria Fernanda Tami, Adriana Ornelas, Alice M.M. Aguiar, Renato Santana Cadar, Daniel Schmidt-Chanasit, Jonas Ulbert, Sebastian Emerg Infect Dis Dispatch We developed an IgM-based ELISA that identifies the dengue virus serotype of recent infections. Dominant serotypes were detectable in 91.1% of samples from travelers and 86.5% of samples from residents of endemic regions; 97.1% corresponded to the serotype identified by PCR. This ELISA enables more accurate reporting of epidemiologic findings. Centers for Disease Control and Prevention 2019-01 /pmc/articles/PMC6302594/ /pubmed/30387417 http://dx.doi.org/10.3201/eid2501.180605 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited. |
spellingShingle | Dispatch Rockstroh, Alexandra Barzon, Luisa Kumbukgolla, Widuranga Su, Hoang Xuan Lizarazo, Erley Vincenti-Gonzalez, Maria Fernanda Tami, Adriana Ornelas, Alice M.M. Aguiar, Renato Santana Cadar, Daniel Schmidt-Chanasit, Jonas Ulbert, Sebastian Dengue Virus IgM Serotyping by ELISA with Recombinant Mutant Envelope Proteins |
title | Dengue Virus IgM Serotyping by ELISA with Recombinant Mutant Envelope Proteins |
title_full | Dengue Virus IgM Serotyping by ELISA with Recombinant Mutant Envelope Proteins |
title_fullStr | Dengue Virus IgM Serotyping by ELISA with Recombinant Mutant Envelope Proteins |
title_full_unstemmed | Dengue Virus IgM Serotyping by ELISA with Recombinant Mutant Envelope Proteins |
title_short | Dengue Virus IgM Serotyping by ELISA with Recombinant Mutant Envelope Proteins |
title_sort | dengue virus igm serotyping by elisa with recombinant mutant envelope proteins |
topic | Dispatch |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6302594/ https://www.ncbi.nlm.nih.gov/pubmed/30387417 http://dx.doi.org/10.3201/eid2501.180605 |
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