蛋白质组学
代谢组学
定量蛋白质组学
生物
细胞激素风暴
免疫系统
精氨酸
免疫学
计算生物学
生物信息学
2019年冠状病毒病(COVID-19)
医学
生物化学
疾病
氨基酸
基因
传染病(医学专业)
病理
作者
Kruthi Suvarna,Akanksha Salkar,Viswanthram Palanivel,Renuka Bankar,Nirjhar Banerjee,Medha Gayathri J. Pai,Alisha Srivastava,Avinash Singh,Harsh Khatri,Sachee Agrawal,Om Shrivastav,Jayanthi Shastri,Sanjeeva Srivastava
标识
DOI:10.1021/acs.jproteome.1c00215
摘要
Severe coronavirus disease 2019 (COVID-19) infection may lead to lung injury, multi-organ failure, and eventually death. Cytokine storm due to excess cytokine production has been associated with fatality in severe infections. However, the specific molecular signatures associated with the elevated immune response are yet to be elucidated. We performed a mass-spectrometry-based proteomic and metabolomic analysis of COVID-19 plasma samples collected at two time points. Using Orbitrap Fusion LC–MS/MS-based label-free proteomic analysis, we identified around 10 significant proteins, 32 significant peptides, and 5 metabolites that were dysregulated at the severe time points. Few of these proteins identified by quantitative proteomics were validated using the multiple reaction monitoring (MRM) assay. Integrated pathway analysis using distinct proteomic and metabolomic signatures revealed alterations in complement and coagulation cascade, platelet aggregation, myeloid leukocyte activation pathway, and arginine metabolism. Further, we highlight the role of leukocyte activation and arginine metabolism in COVID-19 pathogenesis and targeting these pathways for COVID-19 therapeutics.
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