AN INULIN-TYPE FRUCTAN ENRICHED EXCLUSIVE ENTERAL NUTRITION FORMULA SUPPRESSES COLITIS THROUGH GUT MICROBIOME MODULATION AND PROMOTING EXPANSION OF ANTI-INFLAMMATORY T CELL SUBSETS
Bibliographic record
Abstract
Abstract Background & Aims Exclusive enteral nutrition (EEN) is used to treat pediatric Crohn’s disease (CD), but therapeutic benefits are not long lasting. Due to reported lower efficacy EEN is not routinely used to treat pediatric ulcerative colitis (UC). Inulin-type fructans (IN) beneficially modulate the gut microbiome and promote expansion of anti-inflammatory immune cells. We hypothesized that enriching EEN with IN (EENIN) would enhance treatment efficacy. To test this, we examined the effects of EEN-IN on colitis development, the gut microbiome and CD4 + T cells using an adoptive T cell transfer model of colitis. Methods TCR-ß deficient mice were randomized to one of four groups: 1) Control, 2) Chow, 3) EEN and 4) EEN-IN, and naïve CD4 + T cells were adoptively transferred into groups 2-4, after which mice were monitored for 5-weeks prior to experimental endpoint. Results Mice fed EEN-IN showed greater colitis protection, with colonic shortening, goblet cell and crypt density loss reduced over that of EEN fed mice and reduced disease activity and immune cell infiltration compared to chow fed mice, and less crypt hyperplasia and higher survival compared to both groups. EENIN mice maintained colonic mucus layer thickness and had increased levels of Foxp3 + IL-10 + and Rorγt + IL- 22 + and reduced levels of Tbet + IFNγ + and Tbet + TNF + CD4 + T cells. EEN-IN also lead to higher butyrate, Bifidobacterium spp. and Bacteroides spp. concentrations. Conclusion The EEN-IN group showed reduced colitis development as compared to the chow and EEN groups. This highlights the potential benefits of EEN-IN as a novel induction therapy for pediatric CD and UC patients. Synopsis We demonstrated that inulin-type fructan enriched exclusive enteral nutrition formula reduced colitis development likely due to butyrate-dependent pathways that helped preserve the mucus layer and promote an anti-inflammatory intestinal environment via expansion of regulatory T cells.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".