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Clinical and antibody characteristics reveal diverse signatures of severe and non-severe SARS-CoV-2 patients

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收录情况: ◇ SCIE ◇ 统计源期刊 ◇ 卓越:梯队期刊 ◇ 中华系列

机构: [1]Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, Yunnan, China [2]School of Basic Medical Science, Kunming Medical University, Kunming 650500, China. [3]Yunnan Key Laboratory of Laboratory Medicine, Yunnan Province Clinical Research Center for Laboratory Medicine, Yunnan Innovation Team of Clinical Laboratory and Diagnosis, First Affiliated Hospital of Kunming Medical University, Kunming 650032, China [4]Medical Examination Center, The First People’s Hospital of Yueyang City, Yueyang 414000, Hunan, China [5]Department of Medicine, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing 100730, China. [6]School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, One Health Center, Shanghai Jiao Tong University-The University of Edinburgh, Shanghai 200025, China.
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关键词: SARS-CoV-2 COVID-19 Severe patient Cytokine Immune response

摘要:
Background: COVID-19 pandemic continues, clarifying signatures in clinical characters and antibody responses between severe and non-severe COVID-19 cases would benefit the prognosis and treatment. Methods: In this study, 119 serum samples from 37 severe or non-severe COVID-19 patients from the First People’s Hospital of Yueyang were collected between January 25 and February 18 2020. The clinical features, antibody responses targeting SARS-CoV-2 spike protein (S) and its different domains, SARS-CoV-2-specific Ig isotypes, IgG subclasses, ACE2 competitive antibodies, binding titers with FcγIIa and FcγIIb receptors, and 14 cytokines were comprehensively investigated. The differences between severe and non-severe groups were analyzed using Mann–Whitney U test or Fisher’s exact test. Results: Severe group including 9 patients represented lower lymphocyte count, higher neutrophil count, higher level of LDH, total bile acid (TBA) (P < 1 × 10– 4), r-glutaminase (P = 0.011), adenosine deaminase (P < 1 × 10– 4), procalcitonin (P = 0.004), C-reactive protein (P < 1 × 10– 4) and D-dimer (P = 0.049) compared to non-severe group (28 patients). Significantly, higher-level Igs targeting S, different S domains (RBD, RBM, NTD, and CTD), FcγRIIa and FcγRIIb binding capability were observed in a severe group than that of a non-severe group, of which IgG1 and IgG3 were the main IgG subclasses. RBD-IgG were strongly correlated with S-IgG both in severe and non-severe group. Additionally, CTD-IgG was strongly correlated with S-IgG in a non-severe group. Positive RBD-ACE2 binding inhibition was strongly associated with high titers of antibody (S-IgG1, S-IgG3, NTD-IgG, RBD-IgA, NTD-IgA, and CTD-IgA) especially RBD-IgG and CTD-IgG in the severe group, while in the non-severe group, S-IgG3, RBD-IgG, NTD-IgG, and NTD-IgM were correlated with ACE2 blocking rate. S-IgG1, NTD-IgM and S-IgM were negatively associated with illness day in a severe group, while S-IgG3, RBD-IgA, CTD-IgA in the severe group (r = 0.363, P = 0.011) and S-IgG1, NTD-IgA, CTD-IgA in the non-severe group were positively associated with illness day. Moreover, GRO-α, IL-6, IL-8, IP-10, MCP-1, MCP-3, MIG, and BAFF were also significantly elevated in the severe group. Conclusion: Antibody detection provides important clinical information in the COVID-19 process. The different signatures in Ig isotypes, IgG subclasses, antibody specificity between the COVID-19 severe and non-severe group will contribute to future therapeutic and preventive measures development.

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基金编号: CAMS-2021-12M-1-043

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出版当年[2023]版:
大类 | 1 区 医学
小类 | 1 区 热带医学 2 区 传染病学 2 区 寄生虫学
最新[2023]版:
大类 | 1 区 医学
小类 | 1 区 热带医学 2 区 传染病学 2 区 寄生虫学
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Q1 INFECTIOUS DISEASES Q1 PARASITOLOGY Q1 TROPICAL MEDICINE
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Q1 INFECTIOUS DISEASES Q1 PARASITOLOGY Q1 TROPICAL MEDICINE

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第一作者机构: [1]Institute of Medical Biology, Chinese Academy of Medical Sciences and Peking Union Medical College, Kunming 650118, Yunnan, China
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