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对轻症、重症、恢复期或复阳 COVID-19 患者的免疫谱进行分析。

Profiling of the immune repertoire in COVID-19 patients with mild, severe, convalescent, or retesting-positive status.

机构信息

Respiratory and Critical Care Medicine, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China; Hefei National Laboratory for Physical Sciences at Microscale, The CAS Key Laboratory of Innate Immunity and Chronic Disease, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China; Institute of Immunology, University of Science and Technology of China, Hefei, 230027, China.

Hefei National Laboratory for Physical Sciences at Microscale, The CAS Key Laboratory of Innate Immunity and Chronic Disease, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, 230027, China; Institute of Immunology, University of Science and Technology of China, Hefei, 230027, China.

出版信息

J Autoimmun. 2021 Mar;118:102596. doi: 10.1016/j.jaut.2021.102596. Epub 2021 Jan 14.

Abstract

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.

摘要

对来自冠状病毒病 (COVID)-19 患者(轻症、重症、康复、复阳)和健康对照组的四组外周血单个核细胞的 47 个样本进行了转录组测序和免疫受体谱 (IRR) 测序,以描绘 COVID-19 患者在急性感染或康复期间的免疫谱。转录组分析表明,主要成分组 1 (PC1) 内的基因与感染和疾病严重程度相关,而 PC2 内的基因与 COVID-19 的恢复相关。COVID-19 严重程度的“双重损伤机制”与促炎途径数量增加和激活的高凝途径有关。基于与炎症和高凝途径相关的基因的机器学习模型有可能被用于监测 COVID-19 的严重程度。B 细胞受体 (BCR) 和 T 细胞受体 (TCR) 的特征分析揭示了 BCR 中更长的 V-J 对(例如,IGHV3-9-IGHJ6 和 IGHV3-23-IGHJ6)和连续酪氨酸基序的优势选择,以及 TCR 多样性降低。这些发现为 COVID-19 结局提供了潜在的预测因子,并为 COVID-19 的治疗提供了新的潜在靶点。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2847/7837046/5068969ea90a/gr1_lrg.jpg

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