Multiple transport mechanisms involved in the intestinal absorption and first-pass extraction of fexofenadine,
Bibliographic record
Abstract
OBJECTIVE: Our objective was to investigate the main in vivo transport mechanisms of fexofenadine involved in the intestinal absorption and bioavailability of the drug in humans. METHODS: A jejunal single-pass perfusion study was performed in 10 healthy volunteers. Each experiment lasted for 200 minutes and was divided into 2 periods of 100 minutes. During the control period (0-100 minutes), the jejunal segment was perfused with 100 mg/L (186-micromol/L) fexofenadine. In the treatment period (100-200 minutes), fexofenadine was coperfused with 500 mg/L (1018-micromol/L) of the membrane transport inhibitor verapamil. The concentrations of fexofenadine in the perfusate and plasma were measured by HPLC with ultraviolet and mass detection, respectively. RESULTS: Verapamil did not significantly affect the human effective jejunal permeability of fexofenadine. The mean (+/-SD) effective jejunal permeability values were 0.06 +/- 0.07. 10(-4) cm/s and 0.04 +/- 0.07. 10(-4) cm/s in the control and treatment periods, respectively. However, verapamil increased the apparent absorption rate constant into the systemic circulation and the area under the plasma concentration-time curve for fexofenadine from 0.0030 +/- 0.0012 min(-1) to 0.0255 +/- 0.0103 min(-1) (P <.001) and from 161 +/- 181 ng/mL x min to 664 +/- 537 ng/mL x min (P <.01), respectively. CONCLUSIONS: In this in vivo perfusion study verapamil increased the bioavailability of fexofenadine. Because the permeability, which is a direct measure of intestinal transport, was unchanged, we suggest that the major reason for this effect was decreased first-pass liver extraction of fexofenadine. The most plausible mechanism is either decreased organic anion transporting polypeptide-mediated sinusoidal uptake or P-glycoprotein-mediated canalicular secretion of fexofenadine, or both.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".