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10.1038/s41598-020-80120-8

http://scihub22266oqcxt.onion/10.1038/s41598-020-80120-8
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33376242!7772338!33376242
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suck abstract from ncbi


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pmid33376242      Sci+Rep 2020 ; 10 (1): 22418
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  • In-depth blood proteome profiling analysis revealed distinct functional characteristics of plasma proteins between severe and non-severe COVID-19 patients #MMPMID33376242
  • Park J; Kim H; Kim SY; Kim Y; Lee JS; Dan K; Seong MW; Han D
  • Sci Rep 2020[Dec]; 10 (1): 22418 PMID33376242show ga
  • The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has infected over forty million patients worldwide. Although most coronavirus disease 2019 (COVID-19) patients have a good prognosis, some develop severe illness. Markers that define disease severity or predict clinical outcome need to be urgently developed as the mortality rate in critical cases is approximately 61.5%. In the present study, we performed in-depth proteome profiling of undepleted plasma from eight COVID-19 patients. Quantitative proteomic analysis using the BoxCar method revealed that 91 out of 1222 quantified proteins were differentially expressed depending on the severity of COVID-19. Importantly, we found 76 proteins, previously not reported, which could be novel prognostic biomarker candidates. Our plasma proteome signatures captured the host response to SARS-CoV-2 infection, thereby highlighting the role of neutrophil activation, complement activation, platelet function, and T cell suppression as well as proinflammatory factors upstream and downstream of interleukin-6, interleukin-1B, and tumor necrosis factor. Consequently, this study supports the development of blood biomarkers and potential therapeutic targets to aid clinical decision-making and subsequently improve prognosis of COVID-19.
  • |*Severity of Illness Index[MESH]
  • |Adult[MESH]
  • |Aged[MESH]
  • |Biomarkers/blood[MESH]
  • |Blood Proteins/*analysis[MESH]
  • |COVID-19/*blood/mortality/pathology[MESH]
  • |Chromatography, High Pressure Liquid[MESH]
  • |Complement Activation/immunology[MESH]
  • |Cytokines/blood[MESH]
  • |Gene Expression Profiling[MESH]
  • |Humans[MESH]
  • |Mass Spectrometry[MESH]
  • |Middle Aged[MESH]
  • |Neutrophil Activation/immunology[MESH]
  • |Platelet Activation/immunology[MESH]
  • |Proteome/metabolism[MESH]
  • |SARS-CoV-2[MESH]
  • |Suppressor Factors, Immunologic/blood[MESH]


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