A42 INULIN PROMOTES POLYPS DEVELOPMENT IN <i>APC</i> <i>MIN/+</i> MOUSE COLONIZED BY <i>ESCHERICHIA COLI</i> NC101
Bibliographic record
Abstract
Abstract Background Colibactin is a genotoxin that induces double-strand DNA breaks and is produced by Escherichia coli strains harboring the pks island. Human and animal studies have shown that colibactin-producing gut bacteria promote carcinogenesis and facilitate the progression of colorectal cancer through cellular senescence and chromosomal abnormalities. Aims In this study, we investigated the impact of inulin, a prebiotic able to modulate bacterial metabolism, in a colorectal cancer model, ApcMin/+mice, colonized by colibactin-producing E. coli strain NC101. Material & methods Apc Min/+ mice were subjected to oral gavage with PBS (control) or 108 cfu of E. coli NC101 after a week of receiving a 2% dextran sulfate sodium solution in drinking water. Mice were fed a diet supplemented with 10% cellulose (control) or 10% inulin for 4 weeks. During necropsy, the number of polyps in the duodenum, jejunum, ileum, and colon was counted. Tumors in the colon were graded and the erythroid parameters were measured. Results We showed that the inulin diet increased the number of polyps in the ileum compared to cellulose. Moreover, mice colonized with E. coli NC101 and on the inulin diet presented severe anemia associated with an increasing number of polyps in the duodenum, jejunum, and ileum compared to mice supplemented with cellulose. Conclusions Our results suggest that, in vivo, inulin promotes polyp development in the small intestine of ApcMin/+ mice colonized by pks+ E. coli strain NC101. Funding Agencies CIHRNSERC
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".