Increased Epithelial Gap Density in the Noninflamed Duodenum of Children With Inflammatory Bowel Diseases
Bibliographic record
Abstract
OBJECTIVES: Inflammatory bowel diseases (IBD) present commonly in childhood, with unknown etiology, but an important role for the epithelial lining is suggested. Epithelial cell extrusion, measured by counting gaps between epithelial cells, is higher in adult patients with Crohn disease (CD) than in controls. Our objectives were to compare epithelial gaps in the duodenum of IBD and non-IBD pediatric patients, to study the correlation between epithelial gaps, inflammation, and disease activity, and identify potential mechanisms. METHODS: Epithelial gap density of the duodenum was evaluated using probe-based confocal laser endomicroscopy in 26 pediatric patients with IBD (16 CD, 10 ulcerative colitis [UC]) and 17 non-IBD controls during endoscopy. Epithelial gaps were correlated with serum inflammatory markers, disease activity indices, and intraepithelial lymphocytes. A panel of 10 inflammatory cytokines and expression of TNFAIP3 (A20; inhibits NF-κβ-induced inflammation) were analyzed in duodenal and ileal biopsies. RESULTS: Confocal imaging showed significantly higher epithelial gap density in patients with IBD, including UC. Interleukin (IL)-2 and IL-8 were higher in duodenal but not ileal biopsies of patients with UC. No significant correlation was present between C-reactive protein, erythrocyte sedimentation rate, disease activity indices, and epithelial gaps in patients with UC. In patients with CD, C-reactive protein positively correlated with epithelial gaps. A20 expression in the duodenum was unchanged among non-IBD and IBD cases. CONCLUSIONS: Duodenal epithelial gaps are increased in pediatric patients with IBD (including UC) but are unrelated to inflammation. This suggests that altered epithelial barrier is an important systemic feature of pediatric IBD and is not only secondary to inflammation.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".