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ZIKV-Specific NS1 Epitopes as Serological Markers of Acute Zika Virus Infection.

Authors :
Kam, Yiu-Wing
Leite, Juliana Almeida
Amrun, Siti Naqiah
Lum, Fok-Moon
Yee, Wearn-Xin
Bakar, Farhana Abu
Eng, Kai Er
Lye, David C
Leo, Yee-Sin
Chong, Chia-Yin
Freitas, Andre Ricardo Ribas
Milanez, Guilherme Paier
Proença-Modena, Jose Luiz
Rénia, Laurent
Costa, Fabio T M
Ng, Lisa F P
Network, Zika-Unicamp
Zika-Unicamp Network
Source :
Journal of Infectious Diseases; 7/15/2019, Vol. 220 Issue 2, p203-212, 10p
Publication Year :
2019

Abstract

<bold>Background: </bold>Zika virus (ZIKV) infections have reemerged as a global health issue due to serious clinical complications. Development of specific serological assays to detect and differentiate ZIKV from other cocirculating flaviviruses for accurate diagnosis remains a challenge.<bold>Methods: </bold>We investigated antibody responses in 51 acute ZIKV-infected adult patients from Campinas, Brazil, including 7 pregnant women who later delivered during the study. Using enzyme-linked immunosorbent assays, levels of antibody response were measured and specific epitopes identified.<bold>Results: </bold>Several antibody-binding hot spots were identified in ZIKV immunogenic antigens, including membrane, envelope (E) and nonstructural protein 1 (NS1). Interestingly, specific epitopes (2 from E and 2 from NS1) strongly recognized by ZIKV-infected patients' antibodies were identified and were not cross-recognized by dengue virus (DENV)-infected patients' antibodies. Corresponding DENV peptides were not strongly recognized by ZIKV-infected patients' antibodies. Notably, ZIKV-infected pregnant women had specific epitope recognition for ZIKV NS1 (amino acid residues 17-34), which could be a potential serological marker for early ZIKV detection.<bold>Conclusions: </bold>This study identified 6 linear ZIKV-specific epitopes for early detection of ZIKV infections. We observed differential epitope recognition between ZIKV-infected and DENV-infected patients. This information will be useful for developing diagnostic methods that differentiate between closely related flaviviruses. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
00221899
Volume :
220
Issue :
2
Database :
Complementary Index
Journal :
Journal of Infectious Diseases
Publication Type :
Academic Journal
Accession number :
137074967
Full Text :
https://doi.org/10.1093/infdis/jiz092