免疫系统
仿形(计算机编程)
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
2019-20冠状病毒爆发
免疫学
2019年冠状病毒病(COVID-19)
生物
医学
病毒学
疾病
传染病(医学专业)
计算机科学
病理
爆发
操作系统
作者
Divij Mathew,Josephine R. Giles,Amy E. Baxter,Derek A. Oldridge,Allison R. Greenplate,Jennifer E. Wu,Cécile Alanio,Leticia Kuri-Cervantes,M. Betina Pampena,Kurt D’Andrea,Sasikanth Manne,Zeyu Chen,Yinghui Huang,John P. Reilly,Ariel R. Weisman,C.A.G. Ittner,Oliva Kuthuru,Jeanette Dougherty,Kito Nzingha,Nicholas Han
出处
期刊:Science
[American Association for the Advancement of Science]
日期:2020-07-15
卷期号:369 (6508)
被引量:1564
标识
DOI:10.1126/science.abc8511
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI