z4eia9u

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?:abstract	COVID-19 is characterised 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 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 signalling as well as a high level of inflammatory cytokines were observed in patients with severe disease progression. In contrast, COVID-19 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. 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 SYNOPSIS image Proteomics, metabolomics and RNAseq data map immune responses in COVID-19 patients with different disease severity, revealing molecular makers associated with disease progression and alterations of tissue-specific proteins A multi-omics profiling of the host response to SARS-CoV2 infection in 66 clinically diagnosed and laboratory confirmed COVID-19 patients and 17 uninfected controls Significant correlations between multi-omics data and key clinical parameters Alteration of tissue-specific proteins and exRNAs Enhanced activation of immune responses is associated with COVID-19 pathogenesis Biomarkers to predict COVID-19 clinical outcomes pending clinical validation as prospective marker 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.
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?:creator	<https://research.tib.eu/covid-19/entity/Chen%2C_Y._M.%3B_Zheng%2C_Y._T.%3B_Yu%2C_Y.%3B_Wang%2C_Y._Z.%3B_Huang%2C_Q._X.%3B_Qian%2C_F.%3B_Sun%2C_L.%3B_Song%2C_Z._G.%3B_Chen%2C_Z._Y.%3B_Feng%2C_J._W.%3B_An%2C_Y._P.%3B_Yang%2C_J._C.%3B_Su%2C_Z._Q.%3B_Sun%2C_S._Y.%3B_Dai%2C_F._H.%3B_Chen%2C_Q._S.%3B_Lu%2C_Q._W.%3B_Li%2C_P._C.%3B_Ling%2C_Y.%3B_Yang%2C_Z.%3B_Tang%2C_H._R.%3B_Shi%2C_L._M.%3B_Jin%2C_L.%3B_Holmes%2C_E._C.%3B_Ding%2C_C.%3B_Zhu%2C_T._Y.%3B_Zhang%2C_Y._Z.> <https://research.tib.eu/covid-19/entity/Chen%2C_Yan-Mei%3B_Zheng%2C_Yuanting%3B_Yu%2C_Ying%3B_Wang%2C_Yunzhi%3B_Huang%2C_Qingxia%3B_Qian%2C_Feng%3B_Sun%2C_Lei%3B_Song%2C_Zhi-Gang%3B_Chen%2C_Ziyin%3B_Feng%2C_Jinwen%3B_An%2C_Yanpeng%3B_Yang%2C_Jingcheng%3B_Su%2C_Zhenqiang%3B_Sun%2C_Shanyue%3B_Dai%2C_Fahui%3B_Chen%2C_Qinsheng%3B_Lu%2C_Qinwei%3B_Li%2C_Pengcheng%3B_Ling%2C_Yun%3B_Yang%2C_Zhong%3B_Tang%2C_Huiru%3B_Shi%2C_Leming%3B_Jin%2C_Li%3B_Holmes%2C_Edward_C%3B_Ding%2C_Chen%3B_Zhu%2C_Tong-Yu%3B_Zhang%2C_Yong-Zhen>
?:journal	EMBO_J Embo_Journal
?:license	unk
?:publication_isRelatedTo_Disease	<https://research.tib.eu/covid-19/entity/COVID-19>
?:source	WHO
?:title	Blood molecular markers associated with COVID-19 immunopathology and multi-organ damage
?:type	<https://research.tib.eu/covid-19/vocab/Publication>
?:who_covidence_id	#1024811 #1059806 #903069
?:year	2020

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?:abstract

COVID-19 is characterised 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 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 signalling as well as a high level of inflammatory cytokines were observed in patients with severe disease progression. In contrast, COVID-19 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.
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 SYNOPSIS image Proteomics, metabolomics and RNAseq data map immune responses in COVID-19 patients with different disease severity, revealing molecular makers associated with disease progression and alterations of tissue-specific proteins A multi-omics profiling of the host response to SARS-CoV2 infection in 66 clinically diagnosed and laboratory confirmed COVID-19 patients and 17 uninfected controls Significant correlations between multi-omics data and key clinical parameters Alteration of tissue-specific proteins and exRNAs Enhanced activation of immune responses is associated with COVID-19 pathogenesis Biomarkers to predict COVID-19 clinical outcomes pending clinical validation as prospective marker
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.

is ?:annotates of