DOP03 Unfermented β-fructan fibres can induce gut inflammation and tumorigenesis in select Inflammatory Bowel Disease patients mediated by gut microbiota
Bibliographic record
Abstract
Abstract Background Dietary fibres are not digested in the bowel; they are fermented by microbes, typically promoting gut health. However, IBD patients have altered gut microbiota composition and can experience sensitivity to consumption of fibres. Our previous findings offered the first mechanistic evidence that if dietary β-fructans (inulin and oligofructose) are not fermented by gut microbes in IBD patients, these fibres can induce inflammation. This diet-induced inflammation could have serious repercussions as chronic inflammation creates a mutagenic environment that promotes progression to colorectal cancer (CRC). We hypothesized that unfermented β-fructans cause tumorigenesis and promotion of IBD progression to CRC. Methods We examined pathways associated with response to β-fructan in a randomized controlled trial examining β-fructan supplementation (15g/day) in UC patients in remission (RNA sequencing). We validated pathways of interest in IBD patient colonic biopsies cultured ex vivo with β-fructans (targeted proteomics and mesoscale discovery). We examined structural changes (microscopy; e.g., tumorigenic architecture) in these biopsies. Further, cell invasion, migration, and proliferation were examined using scratch wound assays and chick chorioallantoic membrane assays (CAM; n=10 embryos per treatment). Results CRC-related pathways (SLIT2/MAPK and SOS1) were induced and anti-tumour gene RPS27A was reduced only in biopsies from remission UC patients who entered relapse following consumption of β-fructans (endpoint versus baseline), not those in the placebo arm who relapsed. Pathways were validated in IBD patient colonic biopsies cultured ex vivo demonstrating oligofructose produced more significant effects than inulin; response correlated with disease severity. Inulin and oligofructose further influenced the processes of migration and invasion reflective of the tumorigenic process of epithelial to mesenchymal transition and risk of CRC. Conclusion Our findings suggest that intolerance and avoidance of fibres in select IBD patients occurs specifically in patients whose gut microbiota do not support fermentation of dietary fibres resulting in increased presence of unfermented dietary fibres in the gut. Here we show that these β-fructan fibres commonly touted as beneficial prebiotics can elicit gut inflammation and tumorigenesis in this subset of IBD patients, suggesting consumption of these fibres should be avoided in these patients.
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How this classification was reachedexpand
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 | 0.000 |
| 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) | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".