Differential levels of granzyme B, regulatory cytokines, and apoptosis in Crohn's disease and ulcerative colitis at first presentation
Bibliographic record
Abstract
The mechanisms of tissue damage in ulcerative colitis and Crohn's disease may reflect disordered humoral or cell-mediated effector mechanisms, respectively. Mucosal biopsies from untreated inflammatory bowel disease patients and normal controls were analysed for the expression of granzyme B, a cytotoxic effector molecule specifically associated with cell-mediated immunity, and for regulatory cytokines. Messenger RNA (mRNA) was analysed by reverse transcription-polymerase chain reaction and enzyme-linked oligonucleotide chemiluminescence assay. Mucosal biopsies were analysed by immunohistochemistry for granzyme B protein and lymphocyte markers and for the presence of apoptotic cells by terminal deoxynucleotidyl transferase end labelling. Granzyme B mRNA was elevated in Crohn's disease, but not in ulcerative colitis or control mucosal biopsies. Granzyme B mRNA levels correlated with interferon gamma mRNA levels in Crohn's disease. Granzyme B was expressed in CD3+, CD8+ T cells in the lamina propria of Crohn's disease mucosa and there were significantly more apoptotic cells in the lamina propria in Crohn's disease. In conclusion, granzyme B-expressing T lymphocytes are present in the focal mucosal lesions of Crohn's disease, together with spatially related apoptotic cell death. These results support the hypothesis that T-cell-mediated cytotoxic effector mechanisms may play a role in Crohn's disease.
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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 | 0.000 |
| 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) | 0.001 | 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".