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A Novel Anti-nucleocapsid Antibody Avidity Method for Identifying SARS-CoV-2 Reinfections
The Journal of Infectious Diseases ( IF 6.4 ) Pub Date : 2024-03-05 , DOI: 10.1093/infdis/jiae072
Liam Golding 1, 2 , Allison W Watts 1 , Jacob Shew 1, 2 , Marina Viñeta Paramo 1, 2, 3 , Louise C Mâsse 1, 4 , David M Goldfarb 1, 5 , Bahaa Abu-Raya 1, 2 , Pascal M Lavoie 1, 2, 3
Affiliation  

Detecting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reinfections is challenging with current serology assays and is further complicated by the marked decrease in routine viral testing practices as viral transmission increased during Omicron. Here, we provide proof-of-principle that high-avidity anti-nucleocapsid (N) antibodies detects reinfections after a single infection with higher specificity (85%; 95% confidence interval [95% CI], 80%–90%) compared to anti-N antibody levels (72%; 95% CI, 66%–79%) in a vaccinated cohort. This method could be used to retroactively investigate the epidemiology and incremental long-term health consequences of SARS-CoV-2 reinfections.

中文翻译:

一种用于识别 SARS-CoV-2 再感染的新型抗核衣壳抗体亲和力方法

使用当前的血清学检测检测严重急性呼吸综合征冠状病毒 2 (SARS-CoV-2) 再次感染具有挑战性,并且由于 Omicron 期间病毒传播增加,常规病毒检测实践显着减少,这使情况变得更加复杂。在这里,我们提供了原理证明,表明高亲和力抗核衣壳 (N) 抗体能够以更高的特异性(85%;95% 置信区间 [95% CI],80%–90%)检测单次感染后的再感染。疫苗接种队列中的抗 N 抗体水平(72%;95% CI,66%–79%)。该方法可用于追溯调查 SARS-CoV-2 再次感染的流行病学和增量长期健康后果。
更新日期:2024-03-05
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