Fecal miR‐223 is a noninvasive biomarker for estimating Crohn's disease activity
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Bibliographic record
Abstract
INTRODUCTION: MicroRNA-223 (miR-223) has emerged as a promising noninvasive biomarker for Crohn's disease (CD). However, it is unclear which tissue derived miRNA-223 can more accurately estimate CD disease activity. MATERIALS AND METHODS: To collect serum, terminal ileal mucosa biopsy and fecal samples from CD patients and healthy controls. The CD Activity Index (CDAI) score, Montreal classification, maintenance medicines, peripheral blood inflammatory markers, fecal calprotectin (FC) and the Simple Endoscopic Score for CD (SES-CD) were recorded. To compare the expression of miR-223 in the serum, intestinal tissue, and feces. RESULTS: MiR-223 expression levels in the serum, intestinal tissue and feces of CD patients were significantly higher than those of controls. The level of miR-223 in the serum, intestinal tissue and feces increased significantly in active CD patients compared with that in inactive CD patients. The levels of serum, intestinal tissue and fecal miR-223 were correlated with the CDAI. Serum miR-223 was also correlated with C-reactive protein (CRP) and IL-6, tissue miR-223 correlated with IL-6 and FC, and fecal miR-223 correlated with FC. In terms of the association with FC, fecal miR-223 had a higher Spearman r value than tissue miR-223. The area under the curve (AUC) values of serum, tissue and fecal miR-223 to diagnose CD were similar to those of CRP and FC (AUC > 0.8). The AUC values of tissue and fecal miR-223 to evaluate CD disease activity were 0.832 and 0.818, respectively, and were higher than serum miR-223, CRP and FC. Fecal miR-223 had a higher specificity of 92.3%. CONCLUSIONS: Fecal miR-223 might be a novel, noninvasive biomarker for estimating the disease activity of CD patients.
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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 | 0.001 |
| 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 it