Effects of Experimental Hyperlipidemia on the Pharmacokinetics of Tadalafil in Rats
Bibliographic record
Abstract
PURPOSE: Hyperlipidemia is associated with an increased risk of erectile dysfunction. In this study, we investigated the effects of hyperlipidemia on the pharmacokinetics of tadalafil, a novel therapeutic agent for erectile dysfunction, in rats with experimental hyperlipidemia. METHODS: Tadalafil (1 mg/kg) was administered to control rats and rats with poloxamer-407-induced hyperlipidemia (1 g/kg, i.p.). In addition, we performed in vitro studies to determine the hepatic metabolism in S9 fractions, intestinal absorption, and plasma protein binding. RESULTS: Hyperlipidemia dramatically increased tadalafil's the total area under the plasma concentration-time curve from time 0 to infinity after intravenous (2.09-fold) and oral (11.9-fold) administration, and decreased total body clearance (0.537-fold) and apparent volume of distribution at the steady state (0.438-fold) after intravenous administration of tadalafil. Further, we observed decreased in vitro hepatic S9 metabolism, intestinal first-pass metabolism, and unbound fraction of tadalafil. CONCLUSIONS: The alterations in the pharmacokinetics of tadalafil observed in rats with poloxamer 407-induced hyperlipidemia may be attributable to a decrease in hepatic and intestinal metabolism and unbound fraction of tadalafil in the plasma. These findings have potential therapeutic implications for predicting the pharmacokinetic responses of humans to hyperlipidemia. This article is open to POST-PUBLICATION REVIEW. Registered readers (see "For Readers") may comment by clicking on ABSTRACT on the issue's contents page.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".