Histomolecular Profiling in Small-Bowel Diseases

Overview

This prospective cohort study aims to establish reliable histological reference values for normal small-bowel mucosa, improve histological diagnostic quality in celiac disease, and develop an advanced molecular profile for disease diagnosis and treatment response evaluation. The study will collect duodenal biopsies from three groups: healthy controls undergoing clinically indicated gastroscopy, patients referred for primary celiac disease diagnostics, and patients with small-bowel mucosal injury unresponsive to a gluten-free diet. Patients will undergo routine clinical assessment via standard pathology review of diagnostic biopsies. Biopsies will be analyzed using digital morphometry, AI-based image analysis, RNA sequencing (transcriptomics), and intestinal organoid cultures.

Celiac disease is a chronic autoimmune condition affecting approximately 2.4% of the Finnish population. Despite advances in diagnostics, histological assessment of duodenal biopsies remains the gold standard for diagnosis in most cases. However, histological evaluation is subject to inter-observer variability, with a 10% diagnostic error rate reported in international multicenter studies. This study will: 1. Establish reliable digital morphometric reference values (villus-to-crypt ratio) for normal small-bowel mucosa using digitized biopsy slides and AI/machine-learning-based analysis tools; 2. Investigate molecular pathways underlying celiac disease progression and treatment response through RNA sequencing (RNA-Seq transcriptomics) of biopsies from celiac disease patients and healthy controls, with a reference comparison to a drug-trial dataset; 3. Model disease progression and refractory small-bowel injury using intestinal organoid cultures derived from biopsies of celiac patients, refractory patients, and healthy controls. Research biopsy samples will be processed at the Tampere University Celiac Disease Research Center under pseudonymization. Statistical analyses will be done in collaboration with the study statistician. All data will be stored for 15 years following study completion.

Conditions