免疫系统
疾病
生物
表型
2019年冠状病毒病(COVID-19)
免疫学
临床表型
计算生物学
生物信息学
组学
内科学
遗传学
传染病(医学专业)
医学
基因
作者
Yapeng Su,Daniel Chen,Dan Yuan,Christopher Lausted,Jongchan Choi,Chengzhen L. Dai,Valentin Voillet,Venkata R. Duvvuri,Kelsey Scherler,Pamela Troisch,Priyanka Baloni,Guangrong Qin,Brett Smith,Sergey A. Kornilov,Clifford Rostomily,Alexander M. Xu,Jing Li,Shen Dong,Alissa C. Rothchild,Jing Zhou
出处
期刊:Cell
[Cell Press]
日期:2020-10-28
卷期号:183 (6): 1479-1495.e20
被引量:556
标识
DOI:10.1016/j.cell.2020.10.037
摘要
We present an integrated analysis of the clinical measurements, immune cells, and plasma multi-omics of 139 COVID-19 patients representing all levels of disease severity, from serial blood draws collected during the first week of infection following diagnosis. We identify a major shift between mild and moderate disease, at which point elevated inflammatory signaling is accompanied by the loss of specific classes of metabolites and metabolic processes. Within this stressed plasma environment at moderate disease, multiple unusual immune cell phenotypes emerge and amplify with increasing disease severity. We condensed over 120,000 immune features into a single axis to capture how different immune cell classes coordinate in response to SARS-CoV-2. This immune-response axis independently aligns with the major plasma composition changes, with clinical metrics of blood clotting, and with the sharp transition between mild and moderate disease. This study suggests that moderate disease may provide the most effective setting for therapeutic intervention.
科研通智能强力驱动
Strongly Powered by AbleSci AI