蛋白质组
表位
无症状的
抗体
生物
免疫学
病毒学
计算生物学
医学
生物信息学
病理
作者
Hongye Wang,Huixia Gao,Mansheng Li,Linlin Cheng,Xin Zhang,Xiaomei Zhang,Haoting Zhan,Yongmei Liu,Yuling Wang,Jing Ren,Di Hu,Fuchu He,Erhei Dai,Yongzhe Li,Xiaobo Yu
标识
DOI:10.1021/acs.jproteome.4c00546
摘要
Humoral immunity plays a critical role in clearing SARS-CoV-2 during viral invasion. However, the proteome-wide characteristics of antibody responses in individuals infected with Omicron variant, both asymptomatic and symptomatic, remain poorly understood. We profiled the serum antibodies from 108 individuals, including healthy controls and those infected with Omicron BA.2, using a SARS-CoV-2 proteome microarray at the amino acid resolution. We constructed a landscape of B-cell epitopes across the SARS-CoV-2 proteome in symptomatic and asymptomatic individuals. Immunodominant epitopes were mainly derived from S, N, Nsp3, M, and ORF3a proteins, with some epitopes overlapping with T-cell epitopes. Using machine learning, we identified a proteomic signature capable of distinguishing asymptomatic individuals from healthy controls in both training and validation cohorts, achieving AUCs of 0.988 and 0.857, respectively. These findings provide crucial immunological insights into BA.2 infections of the Omicron and have implications for future COVID-19 diagnostics and therapeutics.
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