| Literature DB >> 33376242 |
Joonho Park1, Hyeyoon Kim1, So Yeon Kim2, Yeonjae Kim3, Jee-Soo Lee4, Kisoon Dan1, Moon-Woo Seong5, Dohyun Han6.
Abstract
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.Entities:
Year: 2020 PMID: 33376242 PMCID: PMC7772338 DOI: 10.1038/s41598-020-80120-8
Source DB: PubMed Journal: Sci Rep ISSN: 2045-2322 Impact factor: 4.379