ArticleFrontiers in allergy2023
Expression profiling identifies key genes and biological functions associated with eosinophilic esophagitis in human patients.
Article in Frontiers in allergy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- The Role of Mucins in Esophageal Inflammatory Diseases.Journal of personalized medicine · 2026Review
- Inhibition of Airway Epithelial CTSC Attenuates Type 2 Inflammation: Implications for Eosinophilic Chronic Rhinosinusitis with Nasal Polyps.Journal of inflammation research · 2026Article
- Immunoregulatory mechanisms in parasitic eosinophilic lung disease: the role of IgE immune complexes and NLRC4 inflammasome.Frontiers in immunology · 2026Review
- The SPINK Protein Family in Cancer: Emerging Roles in Tumor Progression, Therapeutic Resistance, and Precision Oncology.Pharmaceuticals (Basel, Switzerland) · 2025Review
- Overlap of Genomic and Transcriptomic Genes Identified in Familial Eosinophilic Esophagitis.Gastroenterology · 2025Article
- Comparative Assessment of Esophageal Proteomics in Eosinophilic Esophagitis Using SOMAscan.Gastroenterology · 2024Article
- Article
- Development and dysfunction of structural cells in eosinophilic esophagitis.The Journal of allergy and clinical immunology · 2024Review
Corrections and comments
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Authors and funding
8 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Eosinophilic Esophagitis (EoE) is a chronic allergic disease characterized by progressive inflammation of the esophageal mucosa. This chronic inflammatory disorder affects up to 50 per 100,000 individuals in the United States and Europe yet is limited in treatment options. While the transcriptome of EoE has been reported, few studies have examined the genetics among a cohort including both adult and pediatric EoE populations. To identify potentially overlooked biomarkers in EoE esophageal biopsies that may be promising targets for diagnostic and therapeutic development. Methods: We used microarray analysis to interrogate gene expression using esophageal biopsies from EoE and Control subjects with a wide age distribution. Analysis of differential gene expression (DEGs) and prediction of impaired pathways was compared using conventional transcriptome analysis (TAC) and artificial intelligence-based (ADVAITA) programs. Principal Components Analysis revealed samples cluster by disease status (EoE and Control) irrespective of clinical features like sex, age, and disease severity. Results: Global transcriptomic analysis revealed differential expression of several genes previously reported in EoE ( Discussion: Our findings suggest that there is epithelial dysregulation demonstrated by DEGs that may contribute to impaired barrier integrity and loss of epidermal cell differentiation in EoE patients. These findings present two new gene families,
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