Serological assays for differentiating natural COVID-19 infection from vaccine induced immunity

IF 4 3区 医学 Q2 VIROLOGY
Samuel M.S. Cheng , Jonathan J. Lau , Leo C.H. Tsang , Kathy Leung , Cheuk Kwong Lee , Asmaa Hachim , Niloufar Kavian , Sara Chaothai , Ricky W.K. Wong , Jennifer K.M. Yu , Zacary Y.H. Chai , Masashi Mori , Chao Wu , Karen Yiu , David S.C. Hui , Gaya K. Amarasinghe , Leo L.M. Poon , Joseph T. Wu , Sophie A. Valkenburg , Malik Peiris
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引用次数: 0

Abstract

Background

Natural SARS-CoV-2 infection may elicit antibodies to a range of viral proteins including non-structural protein ORF8. RNA, adenovirus vectored and sub-unit vaccines expressing SARS-CoV-2 spike would be only expected to elicit S-antibodies and antibodies to distinct domains of nucleocapsid (N) protein may reliably differentiate infection from vaccine-elicited antibody. However, inactivated whole virus vaccines may potentially elicit antibody to wider range of viral proteins, including N protein. We hypothesized that antibody to ORF8 protein will discriminate natural infection from vaccination irrespective of vaccine type.

Methods

We optimized and validated the anti-ORF8 and anti-N C-terminal domain (NCTD) ELISA assays using sera from pre-pandemic, RT-PCR confirmed natural infection sera and BNT162b2 (BNT) or CoronaVac vaccinees. We then applied these optimized assays to a cohort of blood donor sera collected in April-July 2022 with known vaccination and self-reported infection status.

Results

We optimized cut-off values for the anti-ORF8 and anti-N-CTD IgG ELISA assays using receiver-operating-characteristic (ROC) curves. The sensitivity of the anti-ORF8 and anti-N-CTD ELISA for detecting past infection was 83.2% and 99.3%, respectively. Specificity of anti-ORF8 ELISA was 96.8 % vs. the pre-pandemic cohort or 93% considering the pre-pandemic and vaccine cohorts together. The anti-N-CTD ELISA specificity of 98.9% in the pre-pandemic cohort, 93% in BNT vaccinated and only 4 % in CoronaVac vaccinated cohorts. Anti-N-CTD antibody was longer-lived than anti-ORF8 antibody after natural infection.

Conclusions

Anti-N-CTD antibody assays provide good discrimination between natural infection and vaccination in BNT162b2 vaccinated individuals. Anti-ORF8 antibody can help discriminate infection from vaccination in either type of vaccine and help estimate infection attack rates (IAR) in communities.

区分 COVID-19 自然感染和疫苗诱导免疫的血清学检测方法
自然感染SARS-CoV-2可引发针对一系列病毒蛋白的抗体,包括非结构蛋白ORF8。RNA、腺病毒载体和表达SARS-CoV-2刺突的亚单位疫苗只会引发s抗体,而针对核衣壳蛋白不同结构域的抗体可能会可靠地区分感染与疫苗引发的抗体。然而,全病毒灭活疫苗可能引发更广泛的病毒蛋白抗体,包括N蛋白。我们假设ORF8蛋白抗体可以区分自然感染和疫苗接种,而不考虑疫苗类型。方法采用大流行前、RT-PCR确诊的自然感染血清、BNT162b2 (BNT)或冠状病毒疫苗接种者的血清,对抗orf8和抗n - c末端结构域(NCTD) ELISA检测方法进行优化和验证。然后,我们将这些优化的检测方法应用于2022年4月至7月收集的已知疫苗接种和自我报告感染状况的献血者血清队列。结果采用受试者工作特征(ROC)曲线优化了抗orf8和抗n - ctd IgG ELISA检测的截止值。抗orf8和抗n - ctd ELISA检测既往感染的灵敏度分别为83.2%和99.3%。与大流行前队列相比,抗orf8 ELISA的特异性为96.8%,考虑到大流行前和疫苗队列,特异性为93%。在大流行前队列中,抗n - ctd ELISA特异性为98.9%,在BNT疫苗接种队列中为93%,在冠状病毒疫苗接种队列中仅为4%。自然感染后,抗n - ctd抗体比抗orf8抗体存活时间更长。结论抗n - ctd抗体检测能很好地区分BNT162b2疫苗接种个体的自然感染与接种。抗orf8抗体可帮助区分感染与接种任何一种疫苗,并有助于估计社区感染发病率。
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来源期刊
Journal of Clinical Virology
Journal of Clinical Virology 医学-病毒学
CiteScore
22.70
自引率
1.10%
发文量
149
审稿时长
24 days
期刊介绍: The Journal of Clinical Virology, an esteemed international publication, serves as the official journal for both the Pan American Society for Clinical Virology and The European Society for Clinical Virology. Dedicated to advancing the understanding of human virology in clinical settings, the Journal of Clinical Virology focuses on disseminating research papers and reviews pertaining to the clinical aspects of virology. Its scope encompasses articles discussing diagnostic methodologies and virus-induced clinical conditions, with an emphasis on practicality and relevance to clinical practice. The journal publishes on topics that include: • new diagnostic technologies • nucleic acid amplification and serologic testing • targeted and metagenomic next-generation sequencing • emerging pandemic viral threats • respiratory viruses • transplant viruses • chronic viral infections • cancer-associated viruses • gastrointestinal viruses • central nervous system viruses • one health (excludes animal health)
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