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In Journal of autoimmunity ; h5-index 65.0

Forty-seven samples of peripheral blood mononuclear cells from four groups of coronavirus disease (COVID)-19 patients (mild, severe, convalescent, retesting-positive) and healthy controls were applied to profile the immune repertoire of COVID-19 patients in acute infection or convalescence by transcriptome sequencing and immune-receptor repertoire (IRR) sequencing. Transcriptome analyses showed that genes within principal component group 1 (PC1) were associated with infection and disease severity whereas genes within PC2 were associated with recovery from COVID-19. A "dual-injury mechanism" of COVID-19 severity was related to an increased number of proinflammatory pathways and activated hypercoagulable pathways. A machine-learning model based on the genes associated with inflammatory and hypercoagulable pathways had the potential to be employed to monitor COVID-19 severity. Signature analyses of B-cell receptors (BCRs) and T-cell receptors (TCRs) revealed the dominant selection of longer V-J pairs (e.g., IGHV3-9-IGHJ6 and IGHV3-23-IGHJ6) and continuous tyrosine motifs in BCRs and lower diversity of TCRs. These findings provide potential predictors for COVID-19 outcomes, and new potential targets for COVID-19 treatment.

Zhou Yonggang, Zhang Jinhe, Wang Dongyao, Wang Dong, Guan Wuxiang, Qin Jingkun, Xu Xiuxiu, Fang Jingwen, Fu Binqing, Zheng Xiaohu, Wang Dongsheng, Zhao Hong, Chen Xianxiang, Tian Zhigang, Xu Xiaoling, Wang Guiqiang, Wei Haiming


BCR, COVID-19 predictor, Dual-injury mechanism, Immune repertoire, TCR