Pharmacokinetics of nebivolol in the rat: low oral absorption, loss in the gut and systemic stereoselectivity
Bibliographic record
Abstract
Nebivolol is a third-generation β1-adrenoceptor blocker with β3 agonistic properties (AR). It has a low oral bioavailability that is speculated to be due to its hepatic first-pass metabolism. Inflammation is known to suppress the clearance of drugs with efficient hepatic metabolism. However, inflammation does not influence nebivolol clearance. Therefore, we looked into the mechanism involved in the drug's low bioavailability and stereoselectivity. Single 1 mg/kg i.v. or intraperitoneal (i.p.) or 2 mg/kg oral doses were administered to male Sprague-Dawley rats and the plasma nebivolol concentration was measured using chiral and achiral assays. The passage of nebivolol enantiomers through the gut was also measured using everted rat sacs. The serum protein binding of the enantiomers was studied in vitro using the ultrafiltration method. Plasma nebivolol concentrations were significantly lower after p.o., but not after i.p., compared with i.v. doses suggesting the gut as the site of pre-systemic loss. Approximately 50% of the enantiomers were lost during 90 min incubation in the presence of gut. Only 0.1% of the added drug crossed the gut wall with no evidence of stereoselectivity. Thus stereoselectivity in the pharmacokinetics of nebivolol (+ > -) is likely at the level of plasma protein binding. The low nebivolol bioavailability is due to its loss in the gut as well as its limited permeability through the intestinal wall.
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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 | 0.000 |
| 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".