DataSheet_1_Dynamic Characteristic Analysis of Antibodies in Patients With COVID-19: A 13-Month Study.docx (1.43 MB)
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DataSheet_1_Dynamic Characteristic Analysis of Antibodies in Patients With COVID-19: A 13-Month Study.docx

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posted on 20.07.2021, 11:32 authored by Danrong Shi, Tianhao Weng, Jie Wu, Chunyan Dai, Rui Luo, Keda Chen, Miaojin Zhu, Xiangyun Lu, Linfang Cheng, Qiuqiang Chen, Fumin Liu, Zhigang Wu, Haibo Wu, Changzhong Jin, Miao Guo, Zhe Chen, Nanping Wu, Hangping Yao, Min Zheng

There is a worldwide pandemic of Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection; yet our understanding remains limited on the characteristic of antibodies, especially for dynamic long-term tracking. Sequential serum samples were collected up to 416 days post onset of symptoms (POS) from 102 patients who were hospitalized with coronavirus disease 2019 (COVID-19). Immunoglobulin (Ig)G, IgM, and IgA levels targeting SARS-CoV-2 spike 1 receptor-binding domain (S1-RBD), spike 2 extracellular domain (S2-ECD), and nucleocapsid protein (N) were quantified as well as neutralizing activity. We were pleasantly surprised to find that the antibody remained detective and effective for more than a year POS. We also found the varied reactions of different antibodies as time passed: N-IgA rose most rapidly in the early stage of infection, while S2-IgG was present at a high level in the long time of observation. This study described the long traceable antibody response of the COVID-19 and offered hints about targets to screen for postinfectious immunity and for vaccination development of SARS-CoV-2.

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