The role of fatty acid hydrolase gene variants in inflammatory bowel disease
Bibliographic record
Abstract
BACKGROUND: Recent studies suggest a role for the endocannabinoid system, including fatty acid amide hydrolase (FAAH), in intestinal inflammation. AIM: To analyse FAAH expression and the FAAH 385 C/A (p.Pro129Thr; rs324420) single nucleotide polymorphism (SNP) in-patients with Crohn's disease (CD) and ulcerative colitis (UC). PATIENTS AND METHODS: Genomic DNA from 1008 individuals (CD: n = 435; UC: n = 167; controls: n = 406) was analysed for the FAAH 385 C/A SNP. We determined FAAH mRNA expression by quantitative PCR in CD and UC lesions as well as in intestinal epithelial cells (IECs). RESULTS: There were no significant differences regarding the frequency of this SNP in the three study groups (CD, UC, controls). However, CD patients homozygous for the FAAH p.Pro129Thr polymorphism were more likely to develop a severe disease phenotype associated with fistulas (P = 0.03, OR 3.12, 95% CI 1.08-8.98) and extra-intestinal manifestations (P = 0.005, OR 4.29, CI 1.49-12.35). In UC, homozygous carriers had an earlier disease onset than wild-type carriers (P = 0.01). FAAH mRNA expression correlated with IL-8 mRNA expression in CD lesions (r = 0.53). However, pro-inflammatory stimuli did not significantly increase FAAH mRNA expression in IECs. CONCLUSION: The FAAH p.Pro129Thr polymorphism may modulate the CD phenotype.
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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 | 0.001 | 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".