Hein Lindsay Dahora, Castillo Izabella N, Medina Freddy A, Vila Frances, Segovia-Chumbez Bruno, Muñoz-Jordán Jorge L, Whitehead Stephen S, Adams Laura E, Paz-Bailey Gabriela, de Silva Aravinda M, Premkumar Lakshmanane
Department of Microbiology and Immunology, University of North Carolina School of Medicine, Chapel Hill, NC, USA.
Dengue Branch, Centers for Disease Control and Prevention, San Juan, Puerto Rico.
Lancet Microbe. 2025 Feb;6(2):100951. doi: 10.1016/j.lanmic.2024.07.014. Epub 2024 Dec 25.
Serology for dengue viruses (DENV) and Zika virus (ZIKV) has been hindered by antibody cross-reactivity, which limits the utility of these tests for surveillance and assessment of sero-status. Our aim was to develop a multiplexed IgG-based assay with increased accuracy to assess the history of previous DENV and ZIKV infections.
We developed and assessed the analytical performance of a sample-sparing, multiplexed, microsphere-based serological assay using domain III of the envelope protein (EDIII) of DENV serotypes 1-4 and ZIKV, the most variable region between each virus. We used a reference panel of well-characterised serum samples from US-based travellers or residents of southeast Asia, central America, or Puerto Rico, who were naive or immune to either or both DENV and ZIKV, to develop an algorithm for detecting previous exposure to DENV and ZIKV and identify optimal positivity cutoffs to maximise assay performance. To independently confirm the performance of the assay and algorithm, we used a second test set of previously collected samples from healthy children (aged 9-16 years) living in Puerto Rico, whose DENV and ZIKV serostatus had been defined using the gold-standard virus neutralisation assay. We evaluated the performance of the multiplex assay compared with the gold-standard assay by estimating sensitivity and specificity for identification of past exposure to ZIKV and DENV.
The multiplexed EDIII assay showed reproducible results over different days and a linearity range from μg to pg levels for various EDIII antigens. Using a reference panel of serum samples from individuals who were DENV naive (n=136), DENV immune (n=38), ZIKV naive (n=67), and ZIKV immune (n=28), we optimised the assay and developed a testing algorithm that was 94·9% (95% CI 83·1-99·1) sensitive and 97·1% (92·7-98·9) specific for identifying previous exposure to DENV, and 100% (95% CI 88·0-100) sensitive and 97·0% (89·8-99·5) specific for identifying previous exposure to ZIKV. In an analysis with an independent test set of 389 samples, the assay and algorithm had 94·2% (89·9-97·1) sensitivity and 92·9% (87·3-96·5) specificity for DENV, and 94·1% (88·7-97·4) sensitivity and 95·0% (90·0-98·0) specificity for ZIKV.
The multiplexed EDIII serology assay can accurately identify the history of previous infection with either DENV or ZIKV. This high-throughput and sample-sparing assay is a promising new tool for supporting flavivirus surveillance, epidemiological and clinical studies, and serological testing for dengue vaccine eligibility. Further studies are needed to reduce the cost of the assay, eliminate high background in some samples, and to assess performance in DENV-endemic and ZIKV-endemic countries.
US National Institutes of Health.
登革病毒(DENV)和寨卡病毒(ZIKV)的血清学检测受到抗体交叉反应的阻碍,这限制了这些检测在监测和血清学状态评估中的应用。我们的目标是开发一种基于IgG的多重检测方法,提高准确性以评估既往DENV和ZIKV感染史。
我们开发并评估了一种节省样本的、基于微球的多重血清学检测方法的分析性能,该方法使用登革病毒1-4型和寨卡病毒包膜蛋白(EDIII)的结构域III,这是每种病毒之间变化最大的区域。我们使用一组来自美国旅行者或东南亚、中美洲或波多黎各居民的特征明确的血清样本作为参考面板,这些人对DENV和ZIKV均未感染或具有免疫力,以开发一种检测既往DENV和ZIKV暴露的算法,并确定最佳阳性临界值以最大化检测性能。为独立确认检测方法和算法的性能,我们使用了另一组先前收集的来自波多黎各健康儿童(9-16岁)的样本,这些儿童的DENV和ZIKV血清学状态已通过金标准病毒中和试验确定。我们通过估计识别既往寨卡病毒和登革病毒暴露的敏感性和特异性,评估了多重检测方法与金标准检测方法相比的性能。
多重EDIII检测在不同日期显示出可重复的结果,并且对于各种EDIII抗原,线性范围从μg到pg水平。使用来自未感染DENV(n = 136)、感染DENV(n = 38)、未感染ZIKV(n = 67)和感染ZIKV(n = 28)个体的血清样本参考面板,我们优化了检测方法并开发了一种检测算法,该算法在识别既往DENV暴露方面的敏感性为94.9%(95%CI 83.1-99.1),特异性为97.1%(92.7-98.9);在识别既往ZIKV暴露方面的敏感性为100%(95%CI 88.0-100),特异性为97.0%(89.8-99.5)。在对389个样本的独立测试集分析中,该检测方法和算法对DENV的敏感性为94.2%(89.9-97.1),特异性为92.9%(87.3-96.5);对ZIKV的敏感性为94.1%(88.7-97.4),特异性为95.0%(90.0-98.0)。
多重EDIII血清学检测方法可以准确识别既往DENV或ZIKV感染史。这种高通量且节省样本的检测方法是支持黄病毒监测、流行病学和临床研究以及登革热疫苗接种资格血清学检测的一种有前景的新工具。需要进一步研究以降低检测成本、消除某些样本中的高背景,并评估在DENV和ZIKV流行国家的性能。
美国国立卫生研究院。