Serological assessment of PRO-C16 (type XVI collagen formation) reflects intestinal fibrostenotic strictures in patients with crohn’s disease
Bibliographic record
Abstract
BACKGROUND: Fibrostenotic stricturing disease affects 30-50% of patients with Crohn's disease (CD), leading to intestinal resection. Currently, there exists a great medical need to identify biomarkers related to fibrostenotic strictures for optimized patient management. Thus, we investigated PRO-C16 as a biomarker for intestinal fibrosis in patients with CD. METHODS: Human serum from two independent cohorts of CD patients (cohort 1: n = 44, cohort 2: n = 52), healthy subjects (n = 37), and serum from a chronic rat dextran sodium sulfate (DSS) colitis model were included. The Montreal classification for CD disease behavior was applied for patient phenotyping. RESULTS: PRO-C16 was elevated in patients with CD compared to healthy donors (P < 0.001), and in CD patients with fibrostenotic strictures in both cohorts. Furthermore, PRO-C16 was able to separate CD patients with strictures(B2) from CD patients without strictures (B1 and B3) (Cohort 1 [P < 0.01, AUC:0.75], and Cohort 2 [P < 0.05, AUC:0.71). In the chronic DSS rat colitis model, PRO-C16 was elevated after the second and fourth cycles of DSS, reflecting collagen deposition in that model. CONCLUSION: The biomarker PRO-C16 was associated with a stricturing disease phenotype, indicating that PRO-C16 may be a potential marker of intestinal fibrosis in CD, with the potential to aid in the clinical development of novel stromal-immune therapeutic agents.
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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".