2019年冠状病毒病(COVID-19)
生物
2019-20冠状病毒爆发
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
病毒学
疾病
倍他科诺病毒
大流行
计算生物学
传染病(医学专业)
病理
医学
爆发
作者
David Ahern,Zhichao Ai,Mark Ainsworth,Chris Allan,Alice Allcock,Brian Angus,M. Azim Ansari,Carolina V. Arancibia-Cárcamo,Dominik Aschenbrenner,Moustafa Attar,J. Kenneth Baillie,Eleanor Barnes,Rachael Bashford-Rogers,Archana Bashyal,Sally Beer,G. Berridge,Amy Beveridge,Sagida Bibi,Tihana Bicanic,Luke Blackwell
出处
期刊:Cell
[Cell Press]
日期:2022-01-21
卷期号:185 (5): 916-938.e58
被引量:287
标识
DOI:10.1016/j.cell.2022.01.012
摘要
Treatment of severe COVID-19 is currently limited by clinical heterogeneity and incomplete description of specific immune biomarkers. We present here a comprehensive multi-omic blood atlas for patients with varying COVID-19 severity in an integrated comparison with influenza and sepsis patients versus healthy volunteers. We identify immune signatures and correlates of host response. Hallmarks of disease severity involved cells, their inflammatory mediators and networks, including progenitor cells and specific myeloid and lymphocyte subsets, features of the immune repertoire, acute phase response, metabolism, and coagulation. Persisting immune activation involving AP-1/p38MAPK was a specific feature of COVID-19. The plasma proteome enabled sub-phenotyping into patient clusters, predictive of severity and outcome. Systems-based integrative analyses including tensor and matrix decomposition of all modalities revealed feature groupings linked with severity and specificity compared to influenza and sepsis. Our approach and blood atlas will support future drug development, clinical trial design, and personalized medicine approaches for COVID-19.
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