ZNF429 Participates in the Progression of Coronary Heart Disease through Regulating Inflammatory and Adhesive Factors

Abstract

Background: Coronary heart disease (CHD) is an intricate and multifaceted cardiovascular disorder that contributes significantly to global morbidity and mortality. Early and accurate identification and diagnosis of CHD are paramount to ensuring patients receive optimal therapeutic interventions and satisfactory outcomes. Methods: Data on CHD gene expression were obtained from the Gene Expression Omnibus (GEO) repository and potential hub genes were screened through gene ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), weighted gene co-expression network analysis (WGCNA), and least absolute shrinkage and selection operator (LASSO) analyses. Functional validation of these hub genes was conducted by interfering with them in human umbilical vein endothelial cells (HUVECs). Cell proliferation and apoptosis were assessed through cell counting kit-8 (CCK-8) and flow cytometry assays, respectively, while enzyme-linked immunosorbent assay (ELISA), quantitative polymerase chain reaction (qPCR), Western blot, and immunofluorescence were used to measure the expression of key indicators. Results: We identified 700 upregulated differentially expressed genes (DEGs) and 638 downregulated DEGs in CHD, and utilized LASSO analyses to screen disease potential biomarkers, such as zinc finger protein 429 (ZNF429). Interference with ZNF429 in HUVECs mitigated the CHD-induced decrease in cell proliferation and increase in apoptosis. Moreover, the expression of interleukin-1β (IL-1β), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α), vascular cell adhesion molecule-1 (VCAM-1), intercellular adhesion molecule-1 (ICAM-1), cluster of differentiation 62E (CD62E), and cluster of differentiation 62P (CD62P) was reduced, leading to decreased cellular inflammation and adhesion. Conclusions: CHD-associated biomarker ZNF429 was identified through bioinformatics analysis to potentially regulate the expression of inflammatory factors IL-6, IL-1β, and TNF-α, along with adhesion molecules ICAM-1, VCAM-1, CD62E, and CD62P. This modulation influence was subsequently found to impact the progression of CHD. These findings offered valuable insights into potential targets for further investigation and therapeutic interventions for CHD management.

Keywords

• coronary heart disease
• bioinformatics analysis
• znf429