P066 Serum amyloid A – A Novel Biomarker of Ulcerative Colitis Disease Activity
Bibliographic record
Abstract
Abstract Background Despite recent advancements in the treatment of ulcerative colitis (UC), a substantial number of patients fail to achieve long-term remission. Persistent histological activity has been linked with poorer treatment outcomes. Histological remission is now an accepted treatment target; however there remains significant variability in the interpretation of UC histology. As such, there is a need for novel biomarker identification to aid assessment and ultimately predict disease relapse. Serum amyloid A (SAA) is an acute-phase protein, of which serum levels have shown promise as a biomarker in IBD1. This study aims to explore the utility of SAA levels in UC colonic tissue as a diagnostic biomarker for disease activity and progression. Methods Two cohorts were prospectively recruited, including healthy controls and UC patients. Sigmoid biopsies were collected and tissue explants generated. Tissue-conditioned media from these explants was collected and secreted SAA quantified using 54 V-plex ELISA. Demographic information, disease characteristics, endoscopic Mayo scores and disease progression were documented. Endoscopic remission was defined as a Mayo endoscopic sub-score ≤1. Disease progression was defined as the requirement for corticosteroid therapy, UC-related hospitalisation, UC-related surgery or the introduction of a new immunomodulatory agent in follow-up period. P values <0.05 were considered significant in analyses. Results The two cohorts included 11 healthy controls and 16 UC patients (endoscopic remission n=6). Active UC patients demonstrated significantly higher SAA concentrations than healthy controls (p=0.0013) and those in endoscopic remission (p=0.02). There was no significant difference in SAA concentrations between healthy controls and UC patients in remission (p=NS). UC patients in the lowest SAA concentration quartile had a significantly longer time to disease progression (p=0.0462) (Figure 1). Conclusion Quantification of SAA secretion in IBD ex-plants has potential as a biomarker of UC activity and progression. Further investigation of SAA as a biomarker in IBD is warranted. References 1. Chen R, Chen Q, Zheng J, Zeng Z, Chen M, Li L, et al. Serum amyloid protein A in inflammatory bowel disease: from bench to bedside. Cell Death Discov. 2023;9(1):154.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 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 | 0.001 |
| 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".