Interferon γ Expressing Mucosal Cells in Pediatric Chronic Inflammatory Bowel Disease
Bibliographic record
Abstract
The pathogenesis of Crohn's disease (CD) and ulcerative colitis (UC) is multifactorial and includes aberrations in the composition of gastrointestinal mucosal inflammatory cells. Accurate identification of CD and UC is important as treatment and prognosis differs; however, CD and UC may be difficult to differentiate. Interferon γ (IFNγ) expression appears to be increased in ileal mucosa from CD patients, implying that IFNγ could be a diagnostically useful marker to differentiate CD from UC. This study uses automated assessment of IFNγ immunohistochemical expression in archival GI mucosal biopsies from stomach, duodenum, terminal ileum, and colon in a pediatric population to address this possibility. IFNγ positive mucosal cells are increased in the colon in both CD and UC compared to normal colon and in the ileum of CD compared to normal and UC. The abundance of IFNγ positive cells is not correlated with the presence of active inflammation, indicating that active inflammation is not responsible for the variance in abundance of IFNγ positive cells between cohorts and sites. Overlap between CD, UC, and normal suggests that IFNγ immunohistochemistry may only be clinically useful in select situations such as undetermined inflammatory bowel disease and additional study in these areas is warranted.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 teacher head, 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".