T cells regulate intestinal motility and shape enteric neuronal responses to intestinal microbiota
Bibliographic record
Abstract
Abstract The gut microbiota and immune system maintain intestinal homeostasis and regulate gut physiology in concert with the enteric nervous system (ENS). However, the underlying mechanisms remain incompletely understood. Using wildtype and T-cell deficient germ-free mice colonized with segmented filamentous bacteria (SFB) or specific pathogen-free (SPF) microbiota, we studied immune regulation of the ENS and intestinal motility. Colonization markedly increased Th17 cells and Treg expressing RORγ + T cells in both the ileum and colon of wildtype mice. T cells were necessary for the normalization of intestinal motility after colonization by SPF microbiota, and for SFB to restore neuronal density in the ENS of the ileum of germ-free mice. T cells were also required for neurogenic responses in myenteric neurons of the ileum, but not the colon, and for regulating the levels of nestin expression. The cytokines IL-1β and IL-17A mediate the enteric neurogenic response to an SPF microbiota but were not involved in the regulation of intestinal motility. Together, our findings provide new insights into the microbiota-neuroimmune dialogue that regulates intestinal physiology.
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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) | 0.003 | 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".