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基于微阵列的 SARS-CoV-2 蛋白、常见呼吸道病毒和 I 型干扰素抗体检测。

Microarray-Based Detection of Antibodies against SARS-CoV-2 Proteins, Common Respiratory Viruses and Type I Interferons.

机构信息

Center for Precision Genome Editing and Genetic Technologies for Biomedicine, Engelhardt Institute of Molecular Biology, Russian Academy of Sciences, 119991 Moscow, Russia.

Endocrinology Research Centre, Ministry of Health of Russia, 117036 Moscow, Russia.

出版信息

Viruses. 2021 Dec 20;13(12):2553. doi: 10.3390/v13122553.

DOI:10.3390/v13122553
PMID:34960822
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8705234/
Abstract

A microarray-based assay to detect IgG and IgM antibodies against betacoronaviruses (SARS-CoV-2, SARS, MERS, OC43, and HKU1), other respiratory viruses and type I interferons (IFN-Is) was developed. This multiplex assay was applied to track antibody cross-reactivity due to previous contact with similar viruses and to identify antibodies against IFN-Is as the markers for severe COVID-19. In total, 278 serum samples from convalescent plasma donors, COVID-19 patients in the intensive care unit (ICU) and patients who recovered from mild/moderate COVID-19, vaccine recipients, prepandemic and pandemic patients with autoimmune endocrine disorders, and a heterogeneous prepandemic cohort including healthy individuals and chronically ill patients were analyzed. The anti-SARS-CoV-2 microarray results agreed well with the ELISA results. Regarding ICU patients, autoantibodies against IFN-Is were detected in 10.5% of samples, and 10.5% of samples were found to simultaneously contain IgM antibodies against more than two different viruses. Cross-reactivity between IgG against the SARS-CoV-2 nucleocapsid and IgG against the OC43 and HKU1 spike proteins was observed, resulting in positive signals for the SARS-CoV-2 nucleocapsid in prepandemic samples from patients with autoimmune endocrine disorders. The presence of IgG against the SARS-CoV-2 nucleocapsid in the absence of IgG against the SARS-CoV-2 spike RBD should be interpreted with caution.

摘要

开发了一种基于微阵列的检测 IgG 和 IgM 抗体的方法,可检测β冠状病毒(SARS-CoV-2、SARS、MERS、OC43 和 HKU1)、其他呼吸道病毒和 I 型干扰素(IFN-Is)。该多重检测法可用于追踪因先前接触过类似病毒而产生的抗体交叉反应,并识别针对 IFN-Is 的抗体作为 COVID-19 重症的标志物。总共分析了 278 份来自恢复期血浆供体、重症监护病房(ICU)的 COVID-19 患者、从轻度/中度 COVID-19 中康复的患者、疫苗接种者、大流行前和大流行期间患有自身免疫性内分泌疾病的患者以及包括健康个体和慢性病患者的异质大流行前队列的血清样本。抗 SARS-CoV-2 微阵列的结果与 ELISA 结果吻合良好。关于 ICU 患者,10.5%的样本中检测到针对 IFN-Is 的自身抗体,10.5%的样本同时含有针对两种以上不同病毒的 IgM 抗体。观察到针对 SARS-CoV-2 核衣壳的 IgG 与针对 OC43 和 HKU1 刺突蛋白的 IgG 之间存在交叉反应,导致来自自身免疫性内分泌疾病患者的大流行前样本中针对 SARS-CoV-2 核衣壳的阳性信号。在缺乏针对 SARS-CoV-2 刺突 RBD 的 IgG 的情况下,针对 SARS-CoV-2 核衣壳的 IgG 的存在应谨慎解释。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/60a4/8705234/c1294695d08f/viruses-13-02553-g007.jpg
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