Pharmacokinetic Properties of Ethopropazine in Rats
Notice bibliographique
Résumé
(±)-Ethopropazine (ET) is an anticholinergic drug which has been used from 1950 to present in Canada for the treatment of various symptoms of Parkinson's disease (PD). ET is a phenothiazine derivative, which has an aliphatic side chain with a chiral center. It is noticeable that there is little information published about the pharmacokinetics (PK) of anticholinergic antiparkinsonism agents. In particular, no such information could be found about ET. Therefore, studies in this thesis involved development of analytical methods for the quantitation of ET in biological specimens and their use in studying the PK of ET in the rat. Two high-performance liquid chromatographic (HPLC) methods are described for the determination of (±)-ET in rat plasma. After deproteination of plasma and liquid-liquid extraction, an assay of (±)-ET was performed using either a C18 column (non-stereospecific assay) or an (a-R-naphthyl)ethylurea column (stereospecific assay). The UV detector was at 250 nm. The mean recovery was >85%. Both assays demonstrated excellent linear relationships between peak height ratios and plasma concentrations, and quantitation limits were ≤ 25 ng/mL, based on 100 µL rat plasma. Bias and precision were <17% with both methods. Both methods were applied successfully to the measurement of ET plasma concentrations in rats given the drug by various routes of administration. To determine the PK of (±)-ET, male Sprague-Dawley rats (250-350 g) were cannulated at the right jugular vein. The drug was administered by oral (50 mg/kg) gavage or iv (5 and 10 mg/kg) as a solution of (±)-ET dissolved in water:propylene glycol:ethanol (60:30:10%). After dosing, serial blood samples and total urine output were collected for 72 h. Samples were stored at —20°C and subsequently assayed for (±)-ET using the reverse phase non-stereospecific HPLC method. Under anesthesia with halothane two rats were cannulated at the bile duct and jugular vein. For these latter rats bile were collected for 3 h after iv doses of 10 mg/kg of (±)-ET HCI. Noncompartmental PK analysis was used. The PK data showed that in relation to hepatic blood flow,' (±)-ET was eliminated slowly, and the drug had a high Vdss. Compared to the 5 mg/kg iv dose, oral bioavailability of (±)-ET was <2.7%. Less than 1% of the dose was excreted unchanged in urine and bile. With an increase in dose from 5 mg/kg to 10 mg/kg iv, the AUC did not increase proportionally, and CL and Vd were increased. Therefore, based on this information ET has poor oral bioavailability in the rat, and appears to possess nonlinear PK between 5 and 10 mg/kg. The lack of recovery of unchanged drug in the urine and bile suggests extensive metabolism. The plasma protein binding of drug was studied in vitro by equilibrium dialysis in quadruplicate at 150, 500, 2000 and 4000 ng/mL for eachenantiomer. Samples were dialyzed at 37°C for 3 h. Samples were assayed using the stereoselective HPLC -method. The fu (unbound fraction) was significantly increased (p<0.05) at concentrations >500 ng/mL. Both ET enantiomers were found to be highly bound to plasma protein and saturation occurred at concentrations >500 ng/mL. Finally, to evaluate stereoselective tissue distribution of ET enantiomers in rats, male Sprague-Dawley rats (250-350 g) were cannulated at the right jugular vein. After iv administration of (±)-ET HCI (10 mg/kg), 15 rats were sacrificed at different time points (0.5, 3, 6, 12 and 24 h; n = 3/point) post dose. Blood, brain and heart tissues were collected and frozen at -20°C until assayed. Three parts of the brain, namely substantia nigra, striatum and cortex were excised for study. Tissues (-20 mg/sample) were homogenized prior to extraction with phosphate buffer (pH=5.9). The results showed that the ET enantiomers entered into the tissues rapidly with the maximum concentration occurring at 0.5 h (the first sample collection). No stereoselectivity was observed for ET. ET was distributed differentially in the following order brain > heart > plasma, however, similar tissue concentrations were found in the three brain regions examined.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,002 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».