DOP041 The association between fermentable dietary fibre intake and risk of developing Crohn’s Disease: Results from the GEM Project
Bibliographic record
Abstract
Abstract Background The cause of Crohn’s Disease (CD) remains unclear; however evidence suggests that dietary factors play a key role. With a rising incidence and no definitive cure, identifying modifiable risk factors is critical in preventing CD development. We aimed to study the association between fermentable dietary fibre intake and the future development of CD in an at-risk population. Methods Participants were recruited as part of the Crohn’s and Colitis Canada GEM study, a prospective cohort study of healthy first-degree relatives of patients with CD. At enrolment, a validated food frequency questionnaire was administered. Pectin, β-glucan, inulin, fructooligosaccharides (FOS), and arabinoxylan intake were quantified, and values energy-adjusted. Survival analysis was used to test the association between intake of fibre subtypes and risk of CD development. Generalized estimating equation tested the association between fibre intake and baseline impaired intestinal permeability (fractional urinary excretion of lactulose to mannitol ratio (LMR) >0.025); subclinical gut inflammation (faecal calprotectin (FCP) >250 μg/g); and faecal microbiome composition via 16s rRNA sequencing. Results 76 of the 2,659 participants developed CD with a median follow-up of 8.9 years (IQR=5.7-12.3). Median age at recruitment was 17 years (IQR=12-25). 47% were male. Higher intake of inulin (HR = 0.78; 95% CI=0.61–0.99; p=0.04) and β-glucan (HR = 0.78; 95% CI=0.61–0.99; p=0.04) were associated with a reduced risk of CD development. No fibre subtype was associated with a higher risk of CD development. Lower intake of pectin, inulin, FOS and β-glucan was associated with impaired intestinal permeability (0.005 Conclusion This study demonstrates that dietary intake of fermentable fibre subtypes is associated with a reduced risk of CD development as well as with pleiotropic changes in CD risk biomarkers including microbiome, intestinal permeability, and subclinical inflammation. This suggests that the potential benefit of fermentable fibres on CD risk may involve changes in barrier function, and microbiome composition and function. Targeted interventions based on these findings could prove effective in preventing the onset of CD.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".