Multiplex sample-sparing assay for detecting type-specific antibodies to Zika and dengue viruses: an assay development and validation study

IF 20.9 1区 生物学 Q1 INFECTIOUS DISEASES Lancet Microbe Pub Date : 2025-02-01 DOI:10.1016/j.lanmic.2024.07.014
Lindsay Dahora Hein PhD , Izabella N Castillo BS , Freddy A Medina PhD , Frances Vila BS , Bruno Segovia-Chumbez DDS , Jorge L Muñoz-Jordán PhD , Stephen S Whitehead PhD , Laura E Adams DVM MPH , Gabriela Paz-Bailey MD, PhD , Prof Aravinda M de Silva PhD , Lakshmanane Premkumar PhD
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Abstract

Background

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.

Methods

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.

Findings

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.

Interpretation

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.

Funding

US National Institutes of Health.
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用于检测寨卡病毒和登革热病毒类型特异性抗体的多重样本保留分析:一项分析开发和验证研究。
背景:登革热病毒(DENV)和寨卡病毒(ZIKV)的血清学一直受到抗体交叉反应性的阻碍,这限制了这些检测在监测和评估血清状态方面的应用。我们的目的是开发一种基于igg的多重检测方法,提高准确性,以评估以往DENV和ZIKV感染的历史。方法:我们利用DENV血清型1-4和ZIKV的包膜蛋白结构域III (EDIII)开发并评估了一种样本保留、多路、基于微球的血清学分析方法的分析性能,这是每种病毒之间变化最大的区域。我们使用了一个来自美国旅行者或东南亚、中美洲或波多黎各居民的特征良好的血清样本的参考小组,这些人对DENV和ZIKV中的一种或两种都没有免疫或没有免疫,从而开发了一种算法来检测以前接触过DENV和ZIKV并确定最佳阳性截止点,以最大限度地提高分析性能。为了独立确认该检测方法和算法的性能,我们使用了第二组先前从波多黎各健康儿童(9-16岁)收集的样本,这些儿童的DENV和ZIKV血清状态已使用金标准病毒中和试验确定。我们通过评估多重检测与金标准检测的敏感性和特异性来评估多重检测的性能,以确定过去暴露于ZIKV和DENV的情况。结果:多重EDIII检测结果在不同的时间内具有可重复性,并且多种EDIII抗原在μg到pg水平范围内呈线性。利用来自DENV初发(n=136)、DENV免疫(n=38)、ZIKV初发(n=67)和ZIKV免疫(n=28)个体的血清样本的参考小组,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DENV既往暴露方面敏感性为94.9% (95% CI 83.1 - 99.1),特异性为97.1% (95% CI 92.7 - 98.9),在识别既往暴露方面敏感性为100% (95% CI 88·0-100),特异性为97.0% (95% CI 89·8- 99.5)。在对389份样本的独立测试集进行分析时,该检测方法和算法对DENV的敏感性为94.8%(89.9 ~ 97.1),特异性为92.9%(87.3 ~ 99.5),对ZIKV的敏感性为94.1%(88.7 ~ 97.4),特异性为99.5%(90.0 ~ 98.0)。多重EDIII血清学检测可准确识别DENV或ZIKV既往感染史。这种高通量和样本保留分析是支持黄病毒监测、流行病学和临床研究以及登革热疫苗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,并评估登革热病毒流行国家和寨卡病毒流行国家的表现。资助:美国国立卫生研究院。
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来源期刊
Lancet Microbe
Lancet Microbe Multiple-
CiteScore
27.20
自引率
0.80%
发文量
278
审稿时长
6 weeks
期刊介绍: The Lancet Microbe is a gold open access journal committed to publishing content relevant to clinical microbiologists worldwide, with a focus on studies that advance clinical understanding, challenge the status quo, and advocate change in health policy.
期刊最新文献
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