Exploring the Mechanism of Coagulation Dysfunction in a Sepsis Model though Gene Expression Profiles

Abstract Objective. Sepsis is a life-threatening condition, and the mechanism of coagulation dysfunction in sepsis remains unknown. We aimed to investigate the mechanism of coagulation dysfunction in sepsis.Methods. Standard methods were used to establish the sepsis models and generate gene expression profiles. Bioinformatics analysis was carried out by GO and KEGG enrichment analysis, construction of PPIs and screening of seed genes. Finally, seed genes were used to rebuild the disease-related pathways.Results. Our experiments revealed an inflammatory response and coagulation dysfunction in both animal and cell models. After determining the DEGs, GO and KEGG functional analysis showed that there is a significant correlation between the inflammatory response and DNA damage. PPI network analysis screened 9 seed genes related to cell mitosis and platelet-derived growth factor receptor signaling pathways. Some of the seed genes were relevant to COVID-19.Conclusions. This study explored the molecular mechanism of coagulation dysfunction in sepsis models by bioinformatics analysis. This may have guiding significance in reducing the risk of complications in patients with sepsis and improving the effectiveness of treatment.