Serotonin transporter function and expression are reduced in mice with TNBS‐induced colitis
Bibliographic record
Abstract
Regulated release of serotonin (5-HT) from enterochromaffin (EC) cells activates neural reflexes that are involved in gut motility, secretion, vascular perfusion and sensation. The 5-HT-selective reuptake transporter (SERT) terminates serotonergic signalling in the intestinal mucosa. The aim of this investigation was to determine whether mucosal 5-HT content, release, and/or reuptake are altered in a murine model of immune cell-mediated colitis. Experiments were conducted 6 days after colitis was induced by 2,4,6-trinitrobenzene sulfonic acid, a time point when macroscopic and histological damage scores indicated significant inflammation. During inflammation, SERT transcript levels and immunoreactivity were reduced, and the uptake of [3H] 5-HT was impaired. Increases in mucosal 5-HT content and the number of 5-HT-immunoreactive mast cells in the lamina propria were also detected in the inflamed region, whereas EC cell numbers did not change. Mucosal 5-HT released under basal and stimulated conditions was unchanged in animals with colitis. These data suggest that murine colitis alters 5-HT signalling by increasing 5-HT availability through decreased 5-HT uptake by mucosal epithelial cells. These findings support the concept that altered 5-HT signalling could be a contributing factor in altered gut function and sensitivity in inflammatory bowel disease.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".