Identification of Candidate Genes and Pathways in Nonsegmental Vitiligo Using Integrated Bioinformatics Methods

Area of Science:

• Dermatology
• Genomics
• Bioinformatics

Background:

• Nonsegmental vitiligo (NSV) is an acquired skin depigmentation disorder with an unknown etiology.
• Identifying novel biomarkers and pathogenic pathways is crucial for understanding and treating NSV.

Purpose of the Study:

• To identify differentially expressed genes (DEGs) and key pathways implicated in the pathogenesis of nonsegmental vitiligo.
• To uncover potential molecular targets for novel therapeutic strategies in NSV.

Main Methods:

• Integrated analysis of microarray datasets (GSE65127, GSE75819) using R packages.
• Identification of DEGs, gene interaction networks, and significant modules using bioinformatics tools.
• Pathway enrichment analysis to determine functional alterations in lesional skin.

Main Results:

• Identified 102 DEGs, 14 lesion-specific genes, and 29 predisposing genes in NSV.
• Revealed significant pathway alterations including oxidative phosphorylation, p53, and peroxisome proliferator-activated receptor (PPAR) signaling.
• Highlighted PPARG, MUC1, S100A8, and S100A9 as key hub genes; noted T cell receptor signaling pathway upregulation.

Conclusions:

• The study identified several potential pathways and genes involved in NSV pathogenesis through integrated bioinformatics.
• These findings offer a basis for developing targeted therapeutic strategies for nonsegmental vitiligo.