P087 Biomarkers of elastin degradation differentiate between clinically inactive and active disease in ulcerative colitis patients
Bibliographic record
Abstract
Abstract Background In ulcerative colitis (UC), the state of chronic inflammation results in increased matrix metalloprotease (MMP) and serine protease activity, which effectively leads to a higher degree of intestinal tissue remodelling, including components of the extracellular matrix (ECM). One of these components is elastin a matrix protein of the interstitial matrix in the lamina propria and submucosa, providing tissue resilience and elasticity. As such, we investigated whether elastin degradation in UC patients was associated with disease activity and severity, potentially enabling patient differentiation based on elastin degradation. Methods Twenty-nine UC patients and 29 healthy donors were included in the study. Disease activity was determined according to the partial Mayo score (pMayo >1) and the Mayo Endoscopic Score (MES). Disease severity and extension was assessed using the Montreal classification. Disease severity was additionally assessed using the Trulove and Witt’s (TW) clinical score. The biomarkers of elastin degradation included: MMP-7 (ELM-7) cathepsin-G (EL-CG) and proteinase-3 (ELP-3), measured in serum by ELISA. One-way ANOVA (Kruskal–Wallis) correcting for the false discovery rate were applied for the statistical analysis. Results TW: ELP-3 levels in moderate-to-severe UC patients were significantly elevated in comparison with HD (p < 0.001). Partial Mayo: EL-CG levels in patients with active UC were significantly elevated in comparison with HD (p < 0.01), and UC patients in remission (p < 0.01). ELP-3 levels were likewise significantly elevated in active UC patients compared with HD (p < 0.001), and UC patients in remission (p < 0.01). Montreal classification: ELM-7 was significantly elevated in active UC compared with HD (p < 0.05), and UC patients in remission (p < 0.05). EL-CG were also significantly elevated in active UC compared with HD (p < 0.05), and UC patients in remission (p < 0.05). ELP-3 was significantly elevated in active UC compared with HD (p < 0.01). According to the MES score, ELP-3 levels in moderate-to-severe UC patients were significantly elevated in comparison to HD (p < 0.01). Conclusion The data presented in this study demonstrate an association between biomarkers of proteolytic elastin degradation and disease activity in UC patients especially the protease-3-derived biomarker, ELP-3, showed significant association with active UC in all the clinical scoring systems as well as the MES score. Utilising these minimally invasive elastin degradation biomarkers could serve as surrogate markers for monitoring of disease activity and potentially aid the differentiation of patients with an active disease from patients in remission or with a lower disease activity for UC.
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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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".