상위피인용논문
서울대학교 병원, 현 차의과대학교
Joonho Park 1, Hyeyoon Kim 1, SoYeon Kim 2, Yeonjae Kim 3, Jee‑Soo Lee 4, Kisoon Dan 1, Moon‑Woo Seong 4* & Dohyun Han 1*
1Proteomics Core Facility, Biomedical Research Institute, Seoul National University Hospital, 71 Daehak‑ro, Seoul, Republic of Korea.
2Department of Laboratory Medicine, National Medical Center, Seoul, Korea.
3Department of Infectious Disease, National Medical Center, Seoul, Korea.
4Department of Laboratory Medicine, Seoul National University Hospital, Seoul National University College of Medicine, 101 Daehak‑ro, Seoul, Republic of Korea
*Corresponding author: correspondence to Moon‑Woo Seong or Dohyun Han
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.
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