Comparative proteome profiling of bleomycin-induced lung toxicity in rats by 2D-nano-LC-MS/MS and spectral counting

2016 ◽  
Vol 31 (4) ◽  
pp. e3857 ◽  
Author(s):  
Xiang Zhou ◽  
Xionghua Sun ◽  
Xiaogang Jiang
1978 ◽  
Vol 43 (2) ◽  
pp. 237-247 ◽  
Author(s):  
Stanley T. Omaye ◽  
Krishna A. Reddy ◽  
Carroll E. Cross
Keyword(s):  

Author(s):  
Yiran Liang ◽  
Hayden Acor ◽  
Michaela A. McCown ◽  
Andikan J. Nwosu ◽  
Hannah Boekweg ◽  
...  

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Joonho Park ◽  
Hyeyoon Kim ◽  
So Yeon Kim ◽  
Yeonjae Kim ◽  
Jee-Soo Lee ◽  
...  

AbstractThe 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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