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采用 ELISA 筛选和血清中和试验相结合的方法加快寨卡病毒血清流行率研究。

Combination of ELISA screening and seroneutralisation tests to expedite Zika virus seroprevalence studies.

机构信息

Unité des Virus Émergents (UVE: Aix-Marseille Univ - IRD 190 - Inserm 1207 - IHU Méditerranée Infection), Marseille, France.

Virología II, Centro Nacional de Enfermedades Tropicales (CENETROP), Santa Cruz de la Sierra, Bolivia.

出版信息

Virol J. 2018 Dec 27;15(1):192. doi: 10.1186/s12985-018-1105-5.

DOI:10.1186/s12985-018-1105-5
PMID:30587193
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC6307276/
Abstract

Here we propose a strategy allowing implementing efficient and practicable large-scale seroepidemiological studies for Zika Virus (ZIKV). It combines screening by a commercial NS1 protein-based Zika IgG ELISA, and confirmation by a cytopathic effect-based virus neutralization test (CPE-based VNT). In post-epidemic samples from Martinique Island blood donors (a population with a dengue seroprevalence above 90%), this strategy allowed reaching specificity and sensitivity values over 98%. The CPE-based VNT consists of recording CPE directly under the optical microscope, which is easy to identify with ZIKV strain H/PF/2013 at day 5 pi. Overall, considered that CPE-based VNT is cost effective and widely automatable, the NS1 protein-based Zika IgG ELISA+CPE-based VNT combination strategy represents a convenient tool to expedite ZIKV seroprevalence studies.

摘要

在这里,我们提出了一种策略,可用于实施高效且可行的大规模寨卡病毒(ZIKV)血清流行病学研究。它结合了基于商用 NS1 蛋白的 Zika IgG ELISA 进行筛选,以及基于细胞病变效应的病毒中和试验(CPE-based VNT)进行确认。在来自马提尼克岛献血者(具有超过 90%登革热血清流行率的人群)的大流行后样本中,该策略使特异性和敏感性值超过 98%。CPE-based VNT 包括在光学显微镜下直接记录 CPE,在第 5 天感染后用 ZIKV 株 H/PF/2013 很容易识别。总的来说,考虑到 CPE-based VNT 具有成本效益且广泛自动化,基于 NS1 蛋白的 Zika IgG ELISA+CPE-based VNT 联合策略是一种便捷的工具,可加速 ZIKV 血清流行率研究。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dba8/6307276/4c47878db965/12985_2018_1105_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dba8/6307276/4c47878db965/12985_2018_1105_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dba8/6307276/4c47878db965/12985_2018_1105_Fig1_HTML.jpg

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