Bioinformatics analysis of immune infiltration and cell cycle hub genes in atopic dermatitis.

ABSTRACT:

Background

Atopic dermatitis (AD) is a chronic inflammatory skin disease with complex pathogenesis. This study integrated bioinformatics and experimental validation to elucidate the molecular pathways and discover novel therapeutic targets for AD diagnostic and treatment.

Methods

Transcriptomic datasets GSE182740 (training cohort, n = 75) and GSE5667 (validation cohort, n = 34) were analyzed. DEGs identified via GEO2R (|logFC|>2, p < 0.01) underwent KEGG/GO enrichment (Metascape; min overlap = 3, p < 0.01). STRING-constructed PPI networks (interaction score>0.4) visualized in Cytoscape (v3.10.1) revealed top 5 hub genes by CytoHubba MCC scoring. Immune cell infiltration patterns were quantified using ssGSEA software, with in vitro validation conducted in

SUBMITTER: Liu X 

PROVIDER: S-EPMC12452588 | biostudies-literature | 2025 Dec

REPOSITORIES: biostudies-literature