Understanding Predictors of Crohn’s Disease: Determinants of Altered Barrier Function in Pre-Disease Phase of Crohn’s Disease
Bibliographic record
Abstract
The pathogenesis of Crohn's disease (CD) remains unknown. The current working theory is that genetic susceptibility influences host-microbe interactions, resulting in chronic inflammation. Case-control studies fail to explain the triggers or pathogenesis of the disease, notably due to confounding factors in patients with established disease. Investigating the pre-disease phase of CD improves the capacity to assess these confounding factors and enables us to identify biomarkers associated with increased risk of CD. The Crohn's Colitis Canada-Genes, Environment, Microbial (CCC-GEM) project is a prospective cohort of healthy first-degree relatives of patients with CD, allowing us to interrogate the pre-disease phase of CD. The CCC-GEM Project has led to the identification of several demographic, serological, and microbiome composition markers associated with an increased risk of disease in pre-clinical participants. Notably, altered intestinal barrier function, as measured by the fractional urinary excretion of lactulose mannitol ratio, is associated with a significantly increased risk of CD. We review the intrinsic and external factors that are associated with altered intestinal barrier integrity, including genetic risk, subclinical inflammation, serum proteomics, intestinal microbiome composition, and environmental components, such as diet and lifestyle. Providing insights into the factors and mechanisms of altered barrier function contributes to our understanding of the pathogenic mechanisms of CD. These advances may aid in developing strategies for preventing disease in high-risk individuals. Further research and personalized strategies are needed to optimize these mitigation strategies for individuals at-risk for 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 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".