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高维单细胞分析揭示 COVID-19 的免疫特征。

High-dimensional single-cell analysis reveals the immune characteristics of COVID-19.

机构信息

State Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, People's Republic of China.

Guangzhou Regenerative Medicine and Health Guangdong Laboratory, Guangzhou, China.

出版信息

Am J Physiol Lung Cell Mol Physiol. 2021 Jan 1;320(1):L84-L98. doi: 10.1152/ajplung.00355.2020. Epub 2020 Nov 4.

Abstract

Coronavirus disease 2019 (COVID-19), driven by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), was declared a global pandemic in March 2020. Pathogenic T cells and inflammatory monocytes are regarded as the central drivers of the cytokine storm associated with the severity of COVID-19. In this study, we explored the characteristic peripheral cellular profiles of patients with COVID-19 in both acute and convalescent phases by single-cell mass cytometry (CyTOF). Using a combination of algorithm-guided data analyses, we identified peripheral immune cell subsets in COVID-19 and revealed CD4 T-cell depletion, T-cell differentiation, plasma cell expansion, and the reduced antigen presentation capacity of innate immunity. Notably, COVID-19 induces a dysregulation in the balance of monocyte populations by the expansion of the monocyte subsets. Collectively, our results represent a high-dimensional, single-cell profile of the peripheral immune response to SARS-CoV-2 infection.

摘要

2019 年冠状病毒病(COVID-19)由严重急性呼吸系统综合征冠状病毒 2(SARS-CoV-2)引起,于 2020 年 3 月宣布为全球大流行。致病性 T 细胞和炎症性单核细胞被认为是与 COVID-19 严重程度相关的细胞因子风暴的中心驱动因素。在这项研究中,我们通过单细胞质量细胞术(CyTOF)探索了急性和恢复期 COVID-19 患者的特征性外周细胞图谱。通过结合算法指导的数据分析,我们鉴定了 COVID-19 中的外周免疫细胞亚群,并揭示了 CD4 T 细胞耗竭、T 细胞分化、浆细胞扩增以及固有免疫的抗原呈递能力降低。值得注意的是,COVID-19 通过单核细胞亚群的扩增导致单核细胞群体平衡失调。总的来说,我们的研究结果代表了 SARS-CoV-2 感染外周免疫反应的高维单细胞图谱。

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