Serodiagnosis of SARS-CoV-2 infection is impeded by immunological cross-reactivity among the human coronaviruses (HCoVs): SARS-CoV-2, SARS-CoV-1, MERS-CoV, OC43, 229E, HKU1, and NL63. Here we report the identification of humoral immune responses to SARS-CoV-2 peptides that may enable discrimination between exposure to SARS-CoV-2 and other HCoVs. We used a high-density peptide microarray and plasma samples collected at two time points from 50 subjects with SARS-CoV-2 infection confirmed by qPCR, samples collected in 2004–2005 from 11 subjects with IgG antibodies to SARS-CoV-1, 11 subjects with IgG antibodies to other seasonal human coronaviruses (HCoV), and 10 healthy human subjects. Through statistical modeling with linear regression and multidimensional scaling we identified specific peptides that were reassembled to identify 29 linear SARS-CoV-2 epitopes that were immunoreactive with plasma from individuals who had asymptomatic, mild or severe SARS-CoV-2 infections. Larger studies will be required to determine whether these peptides may be useful in serodiagnostics.

SARS-CoV-2 感染的血清学诊断受到以下人类冠状病毒 (HCoV) 的免疫交叉反应的阻碍：SARS-CoV-2、SARS-CoV-1、MERS-CoV、OC43、229E、HKU1 和 NL63。在这里，我们报告了对 SARS-CoV-2 肽的体液免疫反应的鉴定，这可能能够区分暴露于 SARS-CoV-2 和其他 HCoV。我们使用了高密度肽微阵列和在两个时间点从 qPCR 确认的 50 名 SARS-CoV-2 感染受试者收集的血浆样本，2004-2005 年从 11 名具有 SARS-CoV-1 IgG 抗体的受试者收集的样本，11具有针对其他季节性人类冠状病毒 (HCoV) 的 IgG 抗体的受试者和 10 名健康人类受试者。通过线性回归和多维标度的统计建模，我们确定了重新组装的特定肽，以识别 29 个线性 SARS-CoV-2 表位，这些表位与来自无症状、轻度或重度 SARS-CoV-2 感染的个体的血浆发生免疫反应。需要更大规模的研究来确定这些肽是否可用于血清学诊断。