Please use this identifier to cite or link to this item:
https://doi.org/10.3201/eid2705.190121
DC Field | Value | |
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dc.title | Engineered ns1 for sensitive, specifi c zika virus diagnosis from patient serology | |
dc.contributor.author | Yap, Thai Leong | |
dc.contributor.author | Hong, Shin Yee | |
dc.contributor.author | Soh, Jun Hui | |
dc.contributor.author | Ravichandraprabhu, Lekha | |
dc.contributor.author | Lim, Vanessa W. X. | |
dc.contributor.author | Chan, Hsi-Min | |
dc.contributor.author | Ong, Tommy Z. X. | |
dc.contributor.author | Chua, Ying Ping | |
dc.contributor.author | Koh, Shi En | |
dc.contributor.author | Wang, Huajing | |
dc.contributor.author | Leo, Yee Sin | |
dc.contributor.author | Ying, Jackie Y. | |
dc.contributor.author | Sun, William | |
dc.date.accessioned | 2022-10-11T07:58:54Z | |
dc.date.available | 2022-10-11T07:58:54Z | |
dc.date.issued | 2021-05-01 | |
dc.identifier.citation | Yap, Thai Leong, Hong, Shin Yee, Soh, Jun Hui, Ravichandraprabhu, Lekha, Lim, Vanessa W. X., Chan, Hsi-Min, Ong, Tommy Z. X., Chua, Ying Ping, Koh, Shi En, Wang, Huajing, Leo, Yee Sin, Ying, Jackie Y., Sun, William (2021-05-01). Engineered ns1 for sensitive, specifi c zika virus diagnosis from patient serology. Emerging Infectious Diseases 27 (5) : 1427-1437. ScholarBank@NUS Repository. https://doi.org/10.3201/eid2705.190121 | |
dc.identifier.issn | 1080-6040 | |
dc.identifier.uri | https://scholarbank.nus.edu.sg/handle/10635/232090 | |
dc.description.abstract | Dengue virus (DENV) and Zika virus (ZIKV) belong to the Flaviviridae family of viruses spread by Aedes aegypti mosquitoes in tropical and subtropical areas. Accurate diagnostic tests to diff erentiate the 2 infections are necessary for patient management and disease control. Using characterized ZIKV and DENV patient plasma in a blind manner, we validated an ELISA and a rapid immunochromatographic test for ZIKV detection. We engineered the ZIKV nonstructural protein 1 (NS1) for sensitive serologic detection with low cross reactivity against dengue and developed monoclonal antibodies specifi c for the ZIKV NS1 antigen. As expected, the serologic assays performed better with convalescent than acute plasma samples; the sensitivity ranged from 71% to 88%, depending on the performance of individual tests (IgM/ IgG/NS1). Although serologic tests were generally less sensitive with acute samples, our ZIKV NS1 antibodies were able to complement the serologic tests to achieve greater sensitivity for detecting early infections. © 2021 Centers for Disease Control and Prevention (CDC). All rights reserved. | |
dc.publisher | Centers for Disease Control and Prevention (CDC) | |
dc.rights | Attribution 4.0 International | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.source | Scopus OA2021 | |
dc.type | Article | |
dc.contributor.department | SAW SWEE HOCK SCHOOL OF PUBLIC HEALTH | |
dc.contributor.department | PHYSIOLOGY | |
dc.description.doi | 10.3201/eid2705.190121 | |
dc.description.sourcetitle | Emerging Infectious Diseases | |
dc.description.volume | 27 | |
dc.description.issue | 5 | |
dc.description.page | 1427-1437 | |
Appears in Collections: | Staff Publications Elements |
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