Ontology highlight
ABSTRACT: Introduction
Allergic rhinitis (AR) and atopic dermatitis (AD) frequently co-occur, yet their shared molecular mechanisms are poorly understood. We used an integrative bioinformatics approach to identify common diagnostic biomarkers and mechanistic links between them.Methods
Transcriptomic datasets from AR and AD patients were analyzed to identify overlapping differentially expressed genes (DEGs). Hub genes were subsequently identified using protein-protein interaction (PPI) networks and random forest modeling, followed by functional enrichment and immune infiltration analyses.Results
Our analysis identified 36 overlapping DEGs between AR and AD. From these, five hub genes-CD274, CYP2E1, FOLH1, SERPINB4, and SPRR1B-were revealed, all of which demonstrated strong dia
SUBMITTER: Zhang X
PROVIDER: S-EPMC12678292 | biostudies-literature | 2025
REPOSITORIES: biostudies-literature