Understanding the Molecular Landscape of Alopecia Areata: Key Genes, Regulatory Networks, and Therapeutic Targets

Alopecia areata (AA) is an autoimmune disorder characterized by hair loss due to immune-mediated destruction of hair follicles. The polygenic nature of AA, influenced by genetic and environmental factors, complicates its pathogenesis. Advances in bioinformatics have facilitated understanding of AA's genetic basis, providing insights into key molecular pathways and regulatory mechanisms.

This study utilized the GEO database (dataset GSE111061) to analyze differentially expressed genes (DEGs) between healthy controls and AA patients. Functional enrichment and protein-protein interaction (PPI) network analyzes identified hub genes, transcription factors (TFs), and miRNAs. Tools such as STRING, Cytoscape, and KEGG were employed to uncover key interactions and pathways.

An aggregate of 5134 DEGs was discovered, with 2576 elevated genes constituting a PPI network. Key pathways included chemokine signaling and cytokine-cytokine receptor interactions. Ten hub genes (e.g., CCL5, CCR7, and CXCL9) and top TFs (ZNF683, FOXP3, and TBX21) were identified. Additionally, 49 miRNAs were predicted to regulate AA-related genes.

This work focuses on critical molecular regulators involved in AA pathogenesis, such as TFs and miRNAs. These findings suggest possible treatment targets and shed light on the molecular mechanisms of AA.