ArticleFrontiers in allergy2025
Shared diagnostic genes and potential mechanism between allergic rhinitis and atopic dermatitis revealed by integrated transcriptomic analysis and machine learning.
Article in Frontiers in allergy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Article
- Advances in clinical examination techniques for allergic rhinitis: a review from traditional testing to precision diagnosis.Frontiers in allergy · 2026Review
- A systemic epithelial-immune-neural framework for pediatric atopic dermatitis-allergic rhinitis comorbidity.Frontiers in immunology · 2026Article
- Identification of COPZ1 as a Shared Candidate Ferroptosis-Related Hub Gene in Periodontitis and Inflammatory Bowel Disease.Human mutation · 2026Article
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Authors and funding
9 authors.
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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 diagnostic value in both diseases. Functional analysis indicated their involvement in epithelial barrier regulation, immune cell signaling, and oxidative stress pathways. Immune infiltration profiling showed a significant association between these genes and dendritic cells, T cells, and natural killer cells in both AR and AD cohorts. Conclusion: AR and AD share a common molecular landscape, and the five hub genes identified here represent robust biomarkers for diagnosis and potential therapeutic targets for these interconnected diseases.
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