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10.15252/embj.2020105896

http://scihub22266oqcxt.onion/10.15252/embj.2020105896
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33140861!7737620!33140861
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suck abstract from ncbi


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pmid33140861      EMBO+J 2020 ; 39 (24): e105896
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  • Blood molecular markers associated with COVID-19 immunopathology and multi-organ damage #MMPMID33140861
  • Chen YM; Zheng Y; Yu Y; Wang Y; Huang Q; Qian F; Sun L; Song ZG; Chen Z; Feng J; An Y; Yang J; Su Z; Sun S; Dai F; Chen Q; Lu Q; Li P; Ling Y; Yang Z; Tang H; Shi L; Jin L; Holmes EC; Ding C; Zhu TY; Zhang YZ
  • EMBO J 2020[Dec]; 39 (24): e105896 PMID33140861show ga
  • 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.
  • |Biomarkers/blood[MESH]
  • |COVID-19/*blood/immunology/*pathology/virology[MESH]
  • |Female[MESH]
  • |Genomics/methods[MESH]
  • |Humans[MESH]
  • |Lipoproteins/metabolism[MESH]
  • |Male[MESH]
  • |Metabolomics/methods[MESH]
  • |SARS-CoV-2/physiology[MESH]
  • |Severity of Illness Index[MESH]


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