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建立一种全面、高通量的寨卡病毒血清学诊断检测算法。

Establishment of a comprehensive and high throughput serological algorithm for Zika virus diagnostic testing.

机构信息

Zoonotic Diseases and Special Pathogens, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada.

Zoonotic Diseases and Special Pathogens, National Microbiology Laboratory, Public Health Agency of Canada, Winnipeg, MB, Canada.

出版信息

Diagn Microbiol Infect Dis. 2019 Jun;94(2):140-146. doi: 10.1016/j.diagmicrobio.2019.01.004. Epub 2019 Jan 14.

Abstract

The previous serological algorithm for Zika virus (ZIKV) comprised screening by anti-ZIKV IgM capture ELISA (MAC-ELISA) for samples collected within 3 months postexposure or onset (MPEO). Samples positive by MAC-ELISA and samples collected beyond 3 MPEO were tested by the confirmatory plaque reduction neutralization test (PRNT), which proved laborious and time-consuming during the 2015 outbreak. Thus, we evaluated several ZIKV ELISAs to establish an anti-IgM and anti-IgG combination for use as a screening tool for all samples prior to PRNT confirmation. The MAC-ELISA or InBios-M in combination with the Euroimmun-G demonstrated sensitivities of 99.1% and 97.2%, respectively, and nonflavivirus specificity of 96.0%. Their cross-reactivities were 71.4% and 50.0%, respectively, for sera positive for Dengue virus antibodies. Due to near-perfect interrater agreement with PRNT and excellent detection of samples collected beyond 3 MPEO, these combinations were recommended as a screening protocol in a new high-throughput algorithm with special considerations for ZIKV diagnostics.

摘要

先前的寨卡病毒(ZIKV)血清学算法包括对暴露后 3 个月内(MPEO)或发病时采集的样本进行抗 ZIKV IgM 捕获 ELISA(MAC-ELISA)筛查。MAC-ELISA 阳性的样本和超过 3 MPEO 采集的样本通过确证性蚀斑减少中和试验(PRNT)进行检测,这在 2015 年疫情期间既繁琐又耗时。因此,我们评估了几种 ZIKV ELISA,以建立抗 IgM 和抗 IgG 的组合,作为 PRNT 确认之前所有样本的筛查工具。MAC-ELISA 或 InBios-M 与 Euroimmun-G 联合使用的灵敏度分别为 99.1%和 97.2%,非黄病毒特异性分别为 96.0%。对于血清中抗登革热病毒抗体阳性的血清,其交叉反应性分别为 71.4%和 50.0%。由于与 PRNT 具有近乎完美的评分者间一致性,并且能够很好地检测超过 3 MPEO 采集的样本,因此这些组合被推荐作为一种新的高通量算法中的筛查方案,其中特别考虑了寨卡病毒诊断。

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