| Literature DB >> 33763078 |
Huanle Luo1,2, Tingting Jia1, Jiamin Chen1, Shike Zeng1, Zengzhao Qiu1, Shu Wu1, Xu Li1, Yuxuan Lei1, Xin Wang3, Weihua Wu3, Renli Zhang3, Xuan Zou3, Tiejian Feng3, Ruxia Ding4, Yue Zhang4, Yao-Qing Chen1,2, Caijun Sun1,2, Tian Wang5,6,7, Shisong Fang3, Yuelong Shu1,2.
Abstract
Increasing evidence suggests that dysregulated immune responses are associated with the clinical outcome of coronavirus disease 2019 (COVID-19). Nucleocapsid protein (NP)-, spike (S)-, receptor binding domain (RBD)- specific immunoglobulin (Ig) isotypes, IgG subclasses and neutralizing antibody (NAb) were analyzed in 123 serum from 63 hospitalized patients with severe, moderate, mild or asymptomatic COVID-19. Mild to modest correlations were found between disease severity and antigen specific IgG subclasses in serum, of which IgG1 and IgG3 were negatively associated with viral load in nasopharyngeal swab. Multiple cytokines were significantly related with antigen-specific Ig isotypes and IgG subclasses, and IL-1β was positively correlated with most antibodies. Furthermore, the old patients (≥ 60 years old) had higher levels of chemokines, increased NAb activities and SARS-CoV-2 specific IgG1, and IgG3 responses and compromised T cell responses compared to the young patients (≤ 18 years old), which are related with more severe cases. Higher IgG1 and IgG3 were found in COVID-19 patients with comorbidities while biological sex had no effect on IgG subclasses. Overall, we have identified diseases severity was related to higher antibodies, of which IgG subclasses had weakly negative correlation with viral load, and cytokines were significantly associated with antibody response. Further, advancing age and comorbidities had obvious effect on IgG1 and IgG3.Entities:
Keywords: COVID-19; IgG subclasses; SARS-CoV-2; antibody response; cytokine production; disease severity; host immune response
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Year: 2021 PMID: 33763078 PMCID: PMC7982848 DOI: 10.3389/fimmu.2021.632814
Source DB: PubMed Journal: Front Immunol ISSN: 1664-3224 Impact factor: 7.561