ArticleEMBO molecular medicine2025
An AI-assisted morphoproteomic approach is a supportive tool in esophagitis-related precision medicine.
Article in EMBO molecular medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Pooled serum proteomic profiling reveals shared and distinct molecular features in nonerosive reflux disease and reflux esophagitis: A retrospective observational study.The Journal of international medical research · 2026Observational
- Loss of INPP5E affects photoreceptor outer segment membrane biogenesis in iPSC-derived human retinal organoids.Journal of cell science · 2026Article
- The EH-binding protein EHBP1 operates in a ciliary functional module affected by INPP5E dysfunction.Journal of cell science · 2026Article
- Review
- Compartment-based biomarker integration for clinical monitoring in eosinophilic esophagitis.Therapeutic advances in gastroenterology · 2026Review
- Prospective proteomics for discovering biomarkers in lung adenocarcinoma: a literature review.Translational cancer research · 2025Review
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Authors and funding
20 authors.
Funding
Abstract
Esophagitis is a frequent, but at the molecular level poorly characterized condition with diverse underlying etiologies and treatments. Correct diagnosis can be challenging due to partially overlapping histological features. By proteomic profiling of routine diagnostic FFPE biopsy specimens (n = 55) representing controls, Reflux- (GERD), Eosinophilic-(EoE), Crohn's-(CD), Herpes simplex (HSV) and Candida (CA)-esophagitis by LC-MS/MS (DIA), we identified distinct signatures and functional networks (e.g. mitochondrial translation (EoE), immunoproteasome, complement and coagulations system (CD), ribosomal biogenesis (GERD)), and pathogen-specific proteins for HSV and CA. Moreover, combining these signatures with histological parameters in a machine learning model achieved high diagnostic accuracy (100% training set, 93.8% test set), and supported diagnostic decisions in borderline/challenging cases. Applied to a young patient representing a use case, the external GERD diagnosis could be revised to CD and ICAM1 was identified as highly abundant therapeutic target. This resulted in CyclosporinA as a personalized treatment recommendation by the local multidisciplinary molecular inflammation board. Our integrated AI-assisted morphoproteomic approach allows deeper insights in disease-specific molecular alterations and represents a promising tool in esophagitis-related precision medicine.
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Registered trials
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