免疫系统
生物
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
2019年冠状病毒病(COVID-19)
组学
血小板
2019-20冠状病毒爆发
免疫学
计算生物学
病毒学
传染病(医学专业)
疾病
生物信息学
病理
医学
爆发
作者
Hong Wang,Cuicui Liu,Xiaowei Xie,Mingming Niu,Yingrui Wang,Xuelian Cheng,Biao Zhang,Dong Zhang,Mengyao Liu,Rui Sun,Yezi Ma,Shihui Ma,Huijun Wang,Guo‐Qing Zhu,Yang Lu,Baiming Huang,Pei Su,Xiaohong Chen,Jingjing Zhao,Hongtao Wang
出处
期刊:Immunity
[Cell Press]
日期:2023-05-17
卷期号:56 (6): 1410-1428.e8
被引量:38
标识
DOI:10.1016/j.immuni.2023.05.007
摘要
Although host responses to the ancestral SARS-CoV-2 strain are well described, those to the new Omicron variants are less resolved. We profiled the clinical phenomes, transcriptomes, proteomes, metabolomes, and immune repertoires of >1,000 blood cell or plasma specimens from SARS-CoV-2 Omicron patients. Using in-depth integrated multi-omics, we dissected the host response dynamics during multiple disease phases to reveal the molecular and cellular landscapes in the blood. Specifically, we detected enhanced interferon-mediated antiviral signatures of platelets in Omicron-infected patients, and platelets preferentially formed widespread aggregates with leukocytes to modulate immune cell functions. In addition, patients who were re-tested positive for viral RNA showed marked reductions in B cell receptor clones, antibody generation, and neutralizing capacity against Omicron. Finally, we developed a machine learning model that accurately predicted the probability of re-positivity in Omicron patients. Our study may inspire a paradigm shift in studying systemic diseases and emerging public health concerns.
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