Institute for Immunology, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Department of Systems Pharmacology and Translational Therapeutics, University of Pennsylvania Perelman School of Medicine, Philadelphia, PA, USA.
Science. 2020 Sep 4;369(6508). doi: 10.1126/science.abc8511. Epub 2020 Jul 15.
Coronavirus disease 2019 (COVID-19) is currently a global pandemic, but human immune responses to the virus remain poorly understood. We used high-dimensional cytometry to analyze 125 COVID-19 patients and compare them with recovered and healthy individuals. Integrated analysis of ~200 immune and ~50 clinical features revealed activation of T cell and B cell subsets in a proportion of patients. A subgroup of patients had T cell activation characteristic of acute viral infection and plasmablast responses reaching >30% of circulating B cells. However, another subgroup had lymphocyte activation comparable with that in uninfected individuals. Stable versus dynamic immunological signatures were identified and linked to trajectories of disease severity change. Our analyses identified three immunotypes associated with poor clinical trajectories versus improving health. These immunotypes may have implications for the design of therapeutics and vaccines for COVID-19.
新型冠状病毒病 2019(COVID-19)目前是一种全球大流行疾病,但人类对该病毒的免疫反应仍知之甚少。我们使用高维细胞术分析了 125 名 COVID-19 患者,并将其与康复者和健康个体进行了比较。对约 200 个免疫和约 50 个临床特征的综合分析表明,部分患者存在 T 细胞和 B 细胞亚群的激活。一部分患者的 T 细胞激活特征类似于急性病毒感染,浆母细胞反应达到循环 B 细胞的 >30%。然而,另一部分患者的淋巴细胞激活与未感染者相当。我们鉴定了稳定和动态免疫特征,并将其与疾病严重程度变化的轨迹联系起来。我们的分析确定了三种与临床不良轨迹相关的免疫类型,而与改善健康相关。这些免疫类型可能对 COVID-19 的治疗和疫苗设计具有重要意义。