Literature DB >> 20974180

Non-structural protein 1 (NS1) antibody-based assays to differentiate West Nile (WN) virus from Japanese encephalitis virus infections in horses: effects of WN virus NS1 antibodies induced by inactivated WN vaccine.

Yoko Kitai1, Takashi Kondo, Eiji Konishi.   

Abstract

Antibodies to non-structural protein 1 (NS1) of West Nile virus (WNV) have been used to differentiate WNV infection from infection by serologically cross-reactive flaviviruses, including Japanese encephalitis virus (JEV), in horses. However, since the inactivated West Nile (WN) vaccine has been reported to induce NS1 antibodies, there is concern about the reliability of using NS1-based assays for testing vaccinated horses. Therefore, the effect of inactivated WN vaccine-induced antibodies on an epitope-blocking ELISA and complement-dependent cytotoxicity (CDC) assay were investigated. Both assays are based on NS1 antibodies and were established previously to differentiate WNV from JEV infections in horses. Groups of three horses were vaccinated with two or three doses of a commercial inactivated WN vaccine and NS1 antibodies were detected by a conventional ELISA after the second vaccination. Vaccine-induced NS1 antibodies were also detected by blocking ELISA and a CDC assay and affected the ability of these assays to differentiate WNV from JEV infections. However, the effect was less significant in the CDC assay, where use of a low serum concentration ensured effective differentiation. The more efficient detection of infection-induced antibodies over vaccine-induced antibodies by the CDC assay was potentially attributable to the different IgG isotype profiles of these antibodies.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20974180     DOI: 10.1016/j.jviromet.2010.10.012

Source DB:  PubMed          Journal:  J Virol Methods        ISSN: 0166-0934            Impact factor:   2.014


  7 in total

1.  Differentiation of West Nile virus-infected animals from vaccinated animals by competitive ELISA using monoclonal antibodies against non-structural protein 1.

Authors:  Jung-Yong Yeh; Kyung Min Chung; Jaewhan Song
Journal:  Vector Borne Zoonotic Dis       Date:  2012-01-04       Impact factor: 2.133

2.  Comprehensive Mapping Antigenic Epitopes of NS1 Protein of Japanese Encephalitis Virus with Monoclonal Antibodies.

Authors:  Rong-Hong Hua; Li-Ke Liu; Zhen-Shi Chen; Ye-Nan Li; Zhi-Gao Bu
Journal:  PLoS One       Date:  2013-06-18       Impact factor: 3.240

3.  Identification of two linear B-cell epitopes from West Nile virus NS1 by screening a phage-displayed random peptide library.

Authors:  En-Cheng Sun; Jian-Nan Ma; Ni-Hong Liu; Tao Yang; Jing Zhao; Hong-Wei Geng; Ling-Feng Wang; Yong-Li Qin; Zhi-Gao Bu; Yin-Hui Yang; Ross A Lunt; Lin-Fa Wang; Dong-Lai Wu
Journal:  BMC Microbiol       Date:  2011-07-06       Impact factor: 3.605

4.  Comprehensive mapping of common immunodominant epitopes in the West Nile virus nonstructural protein 1 recognized by avian antibody responses.

Authors:  Encheng Sun; Jing Zhao; Nihong Liu; Tao Yang; Qingyuan Xu; Yongli Qin; Zhigao Bu; Yinhui Yang; Ross A Lunt; Linfa Wang; Donglai Wu
Journal:  PLoS One       Date:  2012-02-09       Impact factor: 3.240

5.  Identification of one B-cell epitope from NS1 protein of duck Tembusu virus with monoclonal antibodies.

Authors:  Jinfeng Ti; Zhijie Li; Xiuli Li; Yunjian Lu; Youxiang Diao; Fang Li
Journal:  PLoS One       Date:  2017-07-26       Impact factor: 3.240

6.  Improved reliability of serological tools for the diagnosis of West Nile fever in horses within Europe.

Authors:  Cécile Beck; Steeve Lowenski; Benoit Durand; Céline Bahuon; Stéphan Zientara; Sylvie Lecollinet
Journal:  PLoS Negl Trop Dis       Date:  2017-09-15

7.  Development of a double antibody sandwich ELISA for West Nile virus detection using monoclonal antibodies against non-structural protein 1.

Authors:  Xi-Xia Ding; Xiao-Feng Li; Yong-Qiang Deng; Yong-Hui Guo; Wei Hao; Xiao-Yan Che; Cheng-Feng Qin; Ning Fu
Journal:  PLoS One       Date:  2014-10-10       Impact factor: 3.240

  7 in total

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