Low Serum Levels of MicroRNA-19 Are Associated with a Stricturing Crohnʼs Disease Phenotype
Bibliographic record
Abstract
BACKGROUND: Development of fibrosis and subsequent stricture formation in Crohn's disease (CD) increases morbidity and rates of surgery and reduces patients' quality of life. There are currently no biomarkers of intestinal fibrosis that might allow earlier identification and better management of patients at increased risk of stricture formation. METHODS: MicroRNA profiling of serum from CD patients was used to identify microRNAs associated with stricture formation. Differential expression of miR-19a-3p and miR-19b-3p was validated by quantitative PCR in independent CD cohort of stricturing and nonstricturing patients (n = 46 and n = 62, respectively). Levels of miR-19a-3p and miR-19b-3p were also quantified in baseline serum samples, and expression compared between CD patients who subsequently developed stricture and those who did not (n = 11 and n = 44, respectively). RESULTS: Serum levels of miR-19a-3p and miR-19b-3p in the array were lower in CD patients with a stricturing phenotype than in control CD patients (P = 0.007 and 0.008, respectively). The reduction in miR-19a-3p and 19b-3p was verified in a second cohort (P = 0.002). The association of miR-19-3p with stricturing CD was independent of potential confounding clinical variables, including disease duration, disease activity, site, gender, and age. Serum analyses in patients with 4 years of follow-up support the hypothesis that reduced miR-19a-3p and miR-19b-3p predate stricture development with a trend toward significance (P = 0.077 and P = 0.060, respectively). CONCLUSIONS: These data identify miR-19-3p as a potential circulating marker of stricturing CD. Our data show that microRNAs have utility as noninvasive biomarkers of stricturing CD. Further longitudinal studies are required to determine the prognostic value of miR-19-3p at diagnosis.
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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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".