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Dataset Information

Shared diagnostic genes and potential mechanism between allergic rhinitis and atopic dermatitis revealed by integrated transcriptomic analysis and machine learning.


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