In vitro and in vivo effect of fluoxetine on the permeability of<sup>3</sup>H-serotonin across rat intestine
Bibliographic record
Abstract
The aim of this work was to characterize the mucosal-to-serosal (apical to basolateral; AP-BL) and serosal-to-mucosal (basolateral to apical; BL-AP) transport of serotonin (5-HT) across rat jejunum, ileum, and colon, and to determine the influence of serotonin neuronal transporter inhibitors on this transport. The AP-BL apparent permeability (Papp) of 3H-5-HT increased in the order colon = jejunum < ileum, and the BL-AP Papp of 3H-5-HT increased in the order colon < jejunum = ileum. In vitro, neither fluoxetine (0.02 or 0.2 micromol/L) nor desipramine (0.4 or 4 micromol/L) had a significant effect upon the AP-BL or BL-AP Papp of 3H-5-HT in any of the intestinal regions. However, fluoxetine (0.2 micromol/L) decreased the accumulation of 3H-5-HT in the ileum (to 65% of control) in the BL-AP experiments. In vivo, chronic fluoxetine (10 mg/kg daily administered orally for 15 days), as assessed in the ileum, significantly increased (to +/-180% of control levels) the BL-AP Papp of 3H-5-HT and tended to increase the AP-BL Papp of 3H-5-HT. In conclusion, the increase in the Papp of 3H-5-HT after chronic administration of fluoxetine suggests that this treatment is able to increase the extracellular concentration of 3H-5-HT at the intestinal level.
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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".