Evaluating gene expression patterns for NF-κB1, TNF, and VEGF A& VEGF B in a mouse model of SARS-CoV-2 infection

Abstract

Introduction

The coronavirus disease (COVID-19) pandemic has encouraged extensive research into its pathophysiology, specifically the role of biomarkers in disease progression. Although TNF, NF-κB1, VEGF-A, and VEGF-B play fundamental roles in vascular development and the infection response, their precise involvement in COVID-19 remains unclear. We aimed to evaluate and synthesize TNF, NF-κB1, VEGF-A, and VEGF-B gene expression patterns in a mouse model of SARS-CoV-2 infection to understand their involvement in disease pathogenesis.

Methods

Gene datasets available on the open-source Gene Expression Omnibus (GEO) platform were extracted from eleven specific datasets: GSE68220, GSE51387, GSE49262, GSE51386, GSE50000, GSE40824, GSE33266, GSE50878, GSE40840, GSE49263, and GSE40827. We used R 4.3.2 software in this analysis.

Results

A Substantial changes in the expression of VEGFA, VEGFB, TNF-, and NF-κB1 were observed. Upregulation of TNF- and NF-κB1 implies a strong inflammatory response, consistent with their established involvement in inflammation. Conversely, VEGFA and VEGFB showed a pattern of downregulation, suggesting alterations in the vascular and endothelial functions.

Conclusion

Substantial changes in TNF, NF-κB1, VEGFA, and VEGFB gene expression were observed During SARS-CoV infection, indicating their interconnected roles in disease pathogenesis. These findings improve our understanding of the molecular basis of COVID-19 vascular complications and will guide future research and therapies.