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Open AccessArticle

Development and Characterization of Double-Antibody Sandwich ELISA for Detection of Zika Virus Infection

Faculty of Life Science and Technology, Kunming University of Science and Technology, 727 Jingming South Road, Kunming 650500, China
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
Viruses 2018, 10(11), 634;
Received: 26 October 2018 / Revised: 11 November 2018 / Accepted: 13 November 2018 / Published: 15 November 2018
(This article belongs to the Special Issue New Advances on Zika Virus Research)
Zika virus (ZIKV) is an emerging mosquito-transmitted flavivirus that can cause severe disease, including congenital birth defect and Guillain−Barré syndrome during pregnancy. Although, several molecular diagnostic methods have been developed to detect the ZIKV, these methods pose challenges as they cannot detect early viral infection. Furthermore, these methods require the extraction of RNA, which is easy to contaminate. Nonstructural protein 1 (NS1) is an important biomarker for early diagnosis of the virus, and the detection methods associated with the NS1 protein have recently been reported. The aim of this study was to develop a rapid and sensitive detection method for the detection of the ZIKV based on the NS1 protein. The sensitivity of this method is 120 ng mL−1 and it detected the ZIKV in the supernatant and lysates of Vero and BHK cells, as well as the sera of tree shrews infected with the ZIKV. Without the isolation of the virus and the extraction of the RNA, our method can be used as a primary screening test as opposed to other diagnosis methods that detect the ZIKV. View Full-Text
Keywords: NS1 protein; Zika virus; diagnosis; monoclonal antibodies; ELISA NS1 protein; Zika virus; diagnosis; monoclonal antibodies; ELISA
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MDPI and ACS Style

Zhang, L.; Du, X.; Chen, C.; Chen, Z.; Zhang, L.; Han, Q.; Xia, X.; Song, Y.; Zhang, J. Development and Characterization of Double-Antibody Sandwich ELISA for Detection of Zika Virus Infection. Viruses 2018, 10, 634.

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