Wheat fiber-induced peripheral regulatory T-cells suppress development of colitis
Bibliographic record
Abstract
Reduced dietary fiber intake is associated with, and may have contributed to, the post-mid-20th century increase in immune-mediated chronic inflammatory diseases, including inflammatory bowel disease (IBD). Reduced fiber intake has resulted, in part, from increased consumption of highly refined foods including those made from white flours, generation of which involves removal of much of the fiber naturally present in wheat kernels. Accordingly, we hypothesized that wheat fiber (WF) might protect against chronic inflammatory diseases. We tested this notion in a murine T-cell-transfer colitis model. Rag1 -/- mice were fed purified (open-source) low-fiber diets enriched, or not, with WF and then administered CD45Rb hi T-cells. WF conferred robust protection in this colitis model as assessed by an array of clinical, histopathologic, morphologic, and immune-related parameters. WF's protection against colitis associated with a microbiota-dependent increase in Foxp3 + T-cells (Tregs), which could be recapitulated in vitro. WF did not induce Tregs in mice lacking conserved non-coding sequence 1 knock-out ( CNS1) , which is known to drive peripheral Treg development, nor did WF protect against T-cell-transfer colitis driven by transplant of colitogenic T-cells from CNS1 -/- mice. Thus, enriching diet with WF has potential to promote microbiota-dependent peripheral Treg development and, consequently, protect against chronic inflammatory diseases.
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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 | 0.000 | 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 | 0.000 |
| 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 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".