P318 Protein FingerPrint assays reflecting neutrophil activity, mucosal damage, and tissue fibrosis are surrogate biomarkers for mucosal healing in pediatric Crohn’s disease
Bibliographic record
Abstract
Abstract Background Mucosal healing (MH) has become a treatment goal for inflammatory bowel disease (IBD), especially for ulcerative colitis. However, MH is less feasible to assess frequently in patients with Crohn’s disease (CD). In this study, we investigated Protein Fingerprint Assays (PFA) of collagen degradation and formation, and neutrophil and macrophage activity markers in the ImageKids study as non-invasive markers of MH. Methods This is a proteomics planned sub-study of the multi-center prospective ImageKids study which included serum samples from children with CD (n=178) undergoing MRE and ileocolonoscopy concurrently (ImageKids study: NCT01881490). Serum from healthy age and gender-matched controls were obtained from BioIVT (n=83). PFA panel for mucosal damage (C1M, C3M, C4M, C6M, ELP-3), Immune cell activity panel (CPa9-HNE, VICM, C4G), and tissue fibrosis panel (PRO-C1, PRO-C3, PRO-C4, PRO-C5, PRO-C6, PRO-C11, PRO-C22) were determined. MH was classified as having an SES-CD score of 0 and global radiologist assessment of inflammation in the MRE of 0, using a visual analogue scale (VAS) 0-100mm, and mucosal damage (MD) was defined as having SES-CD or MRE VAS>0. Spearman rho correlations, one-way ANOVA with Tukey correction, and receiver operator characteristics (ROC) curves were applied for statistical analysis. Results Some of the previous biomarkers demonstrated to correlate with the SES-CD score and ulcer size (C1M, C3M, C6M, PRO-C4, VICM, PRO-C1, PRO-C3). CPa9-HNE, ELP-3, and PRO-C22 also correlate with the SES-CD score (table 1). The combined SES-CD and MRE VAS score of MH correlated positively with CPa9-HNE (r=0.30, p<0.0001), VICM (r=0.39, p<0.0001), C1M (r=0.29, p=0.0001), C3M (r=0.22, p=0.0022), C6M (r=0.35 p<0.0001), PRO-C4 (r=0.2, p<0.0001), PRO-C22 (r=0.32, p<0.0001), (figure 1 and 2) and showed significantly lower serum levels in pCD patients with MH compared to patients with mild, moderate, or severe mucosal damage (p<0.001) (figure 2). PRO-C3 correlated negatively with the combined SES-CD and MRE VAS score (r=-0.17, p=0.0211). These PFA biomarkers were combined in a multivariate regression model, demonstrating increased accuracy to identify patients in MH healing compared to the individual biomarkers (p<0.001, MH vs. MD: AUC=0.82 [CI:0.69-0.95), MH+Mild MD vs. moderate+severe MD: AUC=0.77 [0.70-0.84], (figure 3). Conclusion PFA biomarkers of Neutrophil activity (CPa9-HNE), Macrophage activity (VICM), mucosal damage (C1M, C3M, C4M, C6M, ELP-3), and tissue fibrosis (PRO-C3, PRO-C22) are potential surrogate biomarkers for identifying pCD patients with mucosal healing and for monitoring of mucosal damage and stenosis.
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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 | 0.001 | 0.002 |
| 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) | 0.001 | 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".