Screening differentially expressed genes and the pathogenesis in atopic dermatitis using bioinformatics.

Area of Science:

• Genomics
• Immunodermatology
• Bioinformatics

Background:

• Atopic dermatitis (AD) is a prevalent chronic inflammatory skin condition.
• Understanding the molecular mechanisms underlying AD pathogenesis is crucial for developing effective treatments.

Purpose of the Study:

• To identify differentially expressed genes (DEGs) in atopic dermatitis (AD) using bioinformatics.
• To elucidate the biological pathways and functional roles associated with these DEGs in AD.
• To gain insights into the pathogenesis of AD.

Main Methods:

• Utilized public gene expression datasets (GSE120721, GSE32924) from the NCBI Gene Expression Omnibus (GEO).
• Performed differential expression analysis using GEO2R to identify DEGs between AD patients and controls.
• Conducted Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses.
• Constructed a protein-protein interaction (PPI) network using STRING and analyzed modules with MCODE in Cytoscape.

Main Results:

• Identified 233 DEGs, comprising 134 upregulated and 99 downregulated genes.
• GO analysis revealed DEGs involvement in biological processes, cellular components, and molecular functions.
• KEGG analysis highlighted significant enrichment in pathways such as NF-kappa B signaling, cell cycle, and T cell receptor signaling.
• PPI network and module analysis underscored the role of DEGs in immune response, inflammation, and skin barrier function.

Conclusions:

• The identified DEGs and associated pathways provide a molecular basis for understanding atopic dermatitis.
• These findings offer a valuable reference for the development of novel therapeutic strategies for AD.
• The study highlights the complex interplay of genes and pathways in AD pathogenesis.