Blood molecular markers associated with COVID-19 immunopathology and multi-organ damage.
Yan-Mei ChenYuanting ZhengYing YuYunzhi WangQingxia HuangFeng QianLei SunZhi-Gang SongZiyin ChenJinwen FengYanpeng AnJingcheng YangZhenqiang SuShanyue SunFahui DaiQinsheng ChenQinwei LuPengcheng LiYun LingZhong YangHuiru TangLeming ShiLi JinEdward C HolmesChen DingTong-Yu ZhuYong-Zhen ZhangPublished in: The EMBO journal (2020)
COVID-19 is characterized by dysregulated immune responses, metabolic dysfunction and adverse effects on the function of multiple organs. To understand host responses to COVID-19 pathophysiology, we combined transcriptomics, proteomics, and metabolomics to identify molecular markers in peripheral blood and plasma samples of 66 COVID-19-infected patients experiencing a range of disease severities and 17 healthy controls. A large number of expressed genes, proteins, metabolites, and extracellular RNAs (exRNAs) exhibit strong associations with various clinical parameters. Multiple sets of tissue-specific proteins and exRNAs varied significantly in both mild and severe patients suggesting a potential impact on tissue function. Chronic activation of neutrophils, IFN-I signaling, and a high level of inflammatory cytokines were observed in patients with severe disease progression. In contrast, COVID-19-infected patients experiencing milder disease symptoms showed robust T-cell responses. Finally, we identified genes, proteins, and exRNAs as potential biomarkers that might assist in predicting the prognosis of SARS-CoV-2 infection. These data refine our understanding of the pathophysiology and clinical progress of COVID-19.
Keyphrases
- coronavirus disease
- sars cov
- immune response
- respiratory syndrome coronavirus
- peripheral blood
- mass spectrometry
- genome wide
- computed tomography
- end stage renal disease
- emergency department
- oxidative stress
- magnetic resonance
- early onset
- toll like receptor
- ejection fraction
- single cell
- newly diagnosed
- magnetic resonance imaging
- machine learning
- transcription factor
- single molecule
- dna methylation
- dendritic cells
- drug induced
- contrast enhanced