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应用 IgG 亲和力测定法区分近期寨卡病毒和既往登革热病毒感染。

Use of the immunoglobulin G avidity assay to differentiate between recent Zika and past dengue virus infections.

机构信息

The Wadsworth Center, New York State Department of Health, Albany, New York, U.S.A.

The Department of Biomedical Sciences, The School of Public Health, The University at Albany, Albany, New York, U.S.A.

出版信息

Clin Sci (Lond). 2019 Apr 4;133(7):859-867. doi: 10.1042/CS20180874. Print 2019 Apr 15.

Abstract

Zika (ZIKV) and dengue (DENV) virus infections elicit a robust but cross-reactive antibody response against the viral envelope protein, while antibody responses against non-structural proteins (NS) are more virus specific. Building on this premise, we have previously developed a flavivirus multiplex microsphere immunoassay (MIA) for the serologic diagnosis of ZIKV and DENV infections. This assay significantly improved diagnostic accuracy; however, MIA could not differentiate more recent from past infections, which still represents a major diagnostic challenge. Therefore, an immunoglobulin G (IgG) based avidity assay was developed and its diagnostic performance evaluated. Specimens from New York State residents were submitted to the Wadsworth Center New York State Department of Health (NYSDOH) for routine clinical testing by Zika IgM ELISA and plaque reduction neutralization test (PRNT). Using our previously developed flavivirus MIA as a platform, we developed an IgG avidity assay to discriminate recent ZIKV from past DENV infections. Zika IgM positive specimens had an average Zika IgG avidity index of 14.8% (95% CI: 11.0-18.4%), while Zika IgM negative but flavivirus MIA and PRNT positive samples had an average Zika IgG avidity index of 34.9% (95% CI: 31.1-38.7%). Specimens positive for dengue antibodies by flavivirus MIA and PRNT had an average dengue IgG avidity index of 68.7% (95% CI: 62.7-75.0%). The IgG avidity assay accurately distinguished recent ZIKV from past DENV infections in patients who traveled to dengue endemic regions. This assay could be very useful in patients with high risk of Zika complications such as pregnant women and monitoring immune responses in vaccine trials.

摘要

Zika (ZIKV) 和登革热 (DENV) 病毒感染会引起针对病毒包膜蛋白的强烈但交叉反应性抗体反应,而针对非结构蛋白 (NS) 的抗体反应则更为病毒特异性。在此基础上,我们之前开发了一种用于 Zika 和 DENV 感染血清学诊断的黄病毒多重微球免疫分析 (MIA)。该检测方法显著提高了诊断准确性;然而,MIA 无法区分近期和过去的感染,这仍然是一个主要的诊断挑战。因此,开发了一种 IgG 亲和力测定法并评估了其诊断性能。来自纽约州居民的标本提交给 Wadsworth 中心纽约州卫生部 (NYSDOH),通过 Zika IgM ELISA 和蚀斑减少中和试验 (PRNT) 进行常规临床检测。我们使用之前开发的黄病毒 MIA 作为平台,开发了一种 IgG 亲和力测定法来区分近期的 Zika 和过去的 DENV 感染。Zika IgM 阳性标本的 Zika IgG 亲和力指数平均为 14.8%(95%CI:11.0-18.4%),而 Zika IgM 阴性但黄病毒 MIA 和 PRNT 阳性标本的 Zika IgG 亲和力指数平均为 34.9%(95%CI:31.1-38.7%)。黄病毒 MIA 和 PRNT 阳性的登革热抗体标本的登革热 IgG 亲和力指数平均为 68.7%(95%CI:62.7-75.0%)。该 IgG 亲和力测定法能够准确区分前往登革热流行地区的患者近期的 Zika 和过去的 DENV 感染。对于孕妇等高 Zika 并发症风险的患者以及监测疫苗试验中的免疫反应,该检测方法可能非常有用。

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