Shanghai Center for Systems Biomedicine, Key Laboratory of Systems Biomedicine (Ministry of Education), Shanghai Jiao Tong University, 200240, Shanghai, China.
Foshan Fourth People's Hospital, 528000, Foshan, China.
Nat Commun. 2020 Jul 14;11(1):3581. doi: 10.1038/s41467-020-17488-8.
We still know very little about how the human immune system responds to SARS-CoV-2. Here we construct a SARS-CoV-2 proteome microarray containing 18 out of the 28 predicted proteins and apply it to the characterization of the IgG and IgM antibodies responses in the sera from 29 convalescent patients. We find that all these patients had IgG and IgM antibodies that specifically bind SARS-CoV-2 proteins, particularly the N protein and S1 protein. Besides these proteins, significant antibody responses to ORF9b and NSP5 are also identified. We show that the S1 specific IgG signal positively correlates with age and the level of lactate dehydrogenase (LDH) and negatively correlates with lymphocyte percentage. Overall, this study presents a systemic view of the SARS-CoV-2 specific IgG and IgM responses and provides insights to aid the development of effective diagnostic, therapeutic and vaccination strategies.
我们对人体免疫系统如何应对 SARS-CoV-2 知之甚少。在这里,我们构建了一个包含 28 个预测蛋白中的 18 个蛋白的 SARS-CoV-2 蛋白组微阵列,并将其应用于对 29 例恢复期患者血清中 IgG 和 IgM 抗体反应的特征描述。我们发现所有这些患者的 IgG 和 IgM 抗体都能特异性结合 SARS-CoV-2 蛋白,特别是 N 蛋白和 S1 蛋白。除了这些蛋白,还鉴定到针对 ORF9b 和 NSP5 的显著抗体反应。我们表明,S1 特异性 IgG 信号与年龄、乳酸脱氢酶 (LDH) 水平呈正相关,与淋巴细胞百分比呈负相关。总体而言,本研究对 SARS-CoV-2 特异性 IgG 和 IgM 反应进行了系统的观察,并为开发有效的诊断、治疗和疫苗接种策略提供了思路。