ORF8 and ORF3b antibodies are accurate serological markers of early and late SARS-CoV-2 infection

ORF8 and ORF3b antibodies are accurate serological markers of early and late SARS-CoV-2 infection
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DOI:
10.1038/s41590-020-0773-7
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发表时间:
2020-08-17
期刊:
影响因子:
30.5
通讯作者:
Valkenburg, Sophie A.
Valkenburg, Sophie A.
中科院分区:
医学1区
文献类型:
--
作者:
Hachim, Asmaa;Kavian, Niloufar;Valkenburg, Sophie A.

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准确的血清学检测是迫切需要的,以帮助诊断SARS-CoV-2感染。在这里,Valkenburg和同事们使用荧光素酶免疫沉淀系统来评估COVID-19患者对15种不同SARS-CoV-2抗原的抗体反应,并发现ORF 8和ORF 3b抗体,这些抗体一起作为一组点,在疾病的早期和晚期时间点识别了96.5%的COVID-19样本,特异性为99.5%。2型病毒于二零一九年十二月出现,并由于缺乏任何预先存在的免疫力而导致全球大流行。迫切需要准确的血清学检测来帮助诊断感染,确定过去的人群暴露情况,并评估对未来疫苗的反应。对SARS-CoV-2的抗体反应的情况尚不清楚。在这项研究中,我们利用荧光素酶免疫沉淀系统来评估COVID-19患者对15种不同SARS-CoV-2抗原的抗体应答。我们确定了SARS-CoV-2免疫应答的新靶点,并表明核衣壳、开放阅读框(ORF)8和ORF 3b引起最强的特异性抗体应答。ORF 8和ORF 3b抗体作为一组点,在疾病的早期和晚期时间点识别了96.5%的COVID-19样本,特异性为99.5%。我们的发现可用于开发第二代诊断测试,以改善COVID-19的血清学检测,并对了解致病性非常重要。
Accurate serology testing is urgently needed to help diagnose SARS-CoV-2 infection. Here Valkenburg and colleagues use a luciferase immunoprecipitation system to assess the antibody responses to 15 different SARS-CoV-2 antigens in patients with COVID-19 and find ORF8 and ORF3b antibodies, taken together as a cluster of points, identified 96.5% of COVID-19 samples at early and late time points of disease with 99.5% specificityThe SARS-CoV-2 virus emerged in December 2019 and has caused a worldwide pandemic due to the lack of any pre-existing immunity. Accurate serology testing is urgently needed to help diagnose infection, determine past exposure of populations and assess the response to a future vaccine. The landscape of antibody responses to SARS-CoV-2 is unknown. In this study, we utilized the luciferase immunoprecipitation system to assess the antibody responses to 15 different SARS-CoV-2 antigens in patients with COVID-19. We identified new targets of the immune response to SARS-CoV-2 and show that nucleocapsid, open reading frame (ORF)8 and ORF3b elicit the strongest specific antibody responses. ORF8 and ORF3b antibodies, taken together as a cluster of points, identified 96.5% of COVID-19 samples at early and late time points of disease with 99.5% specificity. Our findings could be used to develop second-generation diagnostic tests to improve serological assays for COVID-19 and are important in understanding pathogenicity.