Discovery of Potential Hub Genes and Pathways in Keloid Fibroblast Development Based on Bioinformatics Analysis

The study used bioinformatics analysis to explore the molecular mechanisms of keloid fibroblast development, identifying 496 differentially expressed genes (DEGs) from the GSE145725 dataset. Key hub genes, including BMP4, POSTN, and WNT5A, were found to be significantly upregulated in keloid fibroblasts, suggesting their roles in mechanosignaling, inflammation, and extracellular matrix remodeling. The research constructed protein-protein interaction networks and highlighted the regulatory complexity of keloid formation through gene-miRNA and gene-TF interactions. Potential therapeutic targets, such as paricalcitol and phosphine, were identified, offering insights into new treatment strategies for keloids. Despite the limitations of bioinformatics, these findings lay the groundwork for future studies to further understand and intervene in keloid pathogenesis.