P4502C18 catalyzes the metabolic bioactivation of phenytoin

The safe clinical use of phenytoin (PHT) is compromised by a drug hypersensitivity reaction, hypothesized to be due to bioactivation of the drug to a protein-reactive metabolite. Previous studies have shown PHT is metabolized to the primary phenol metabolite, HPPH, then converted to a catechol which then autoxidizes to produce reactive quinone. PHT is known to be metabolized to HPPH by cytochromes P450 (P450s) 2C9 and 2C19 and then to the catechol by P450s 2C9, 2C19, 3A4, 3A5, and 3A7. However, the role of many poorly expressed or extrahepatic P450s in the metabolism and/or bioactivation of PHT is not known. The aim of this study was to assess the ability of other human P450s to catalyze PHT metabolism. P450 2C18 catalyzed the primary hydroxylation of PHT with a k(cat) (2.46 +/- 0.09 min(-1)) more than an order of magnitude higher than that of P450 2C9 (0.051 +/- 0.004 min(-1)) and P450 2C19 (0.054 +/- 0.002 min(-1)) and K-m (45 +/- 5 mu M) slightly greater than those of P450 2C9 (12 +/- 4 mu M) and P450 2C19 (29 +/- 4 mu M). P450 2C18 also efficiently catalyzed the secondary hydroxylation of PHT as well as covalent drug-protein adduct formation from both PHT and HPPH in vitro. While P450 2C18 is expressed poorly in the liver, significant expression has been reported in the skin. Thus, P450 2C18 may be important for the extrahepatic tissue-specific bioactivation of PHT in vivo.

Use of routine data for determination of the population pharmacokinetics and enteral biovailability of phenytoin in neonates and infants with seizures

Objective: To investigate the population pharmacokinetics and the enteral bioavailability of phenytoin in neonates and infants with seizures. Methods: Data (5 mg kg-1 day-1) from 83 patients were obtained retrospectively from the medical records following written ethical approval. A one-compartment model was fitted to the data using NONMEM with FOCE-interaction. Between-subject variability (BSV) and interoccasion variability (IOV) were modelled exponentially together with a log transform-both-sides exponential residual unexplained variance (RUV) model. Covariates in nested models were screened for significance (X2, 1, 0.01). Model validity was determined by bootstrapping with replacement (N=500 samples) from the dataset. Results: The parameters of final pharmacokinetic were: Clearance (L h-1) = 0.826.(current Weight [kg]/70)0.75.(1+0.0692.(Postnatal age [days]-11)); Volume of distribution (L) = 74.2.(current Weight [kg]/70); Enteral bioavailability = 0.76; Absorption rate constant (h-1) = 0.167. BSV for clearance and volume of distribution were 74.2% and 65.6%, respectively. The IOV in clearance was 54.4%. The RUV was 51.1%. Final model parameters deviated from mean bootstrap estimates by

Free mycophenolic acid should be monitored in renal transplant recipients with hypoalbuminemia

The current approach for therapeutic drug monitoring in renal transplant recipients receiving mycophenolate mofetil (MMF) is measurement of total mycophenolic acid (MPA) concentration. Because MPA is highly bound, during hypoalbuminemia the total concentration no longer reflects the free (pharmacologically active) concentration. The authors investigated what degree of hypoalbuminemia causes a significant change in protein binding and thus percentage free MPA. Forty-two renal transplant recipients were recruited for the study. Free and total concentrations of MPA (predose, and 1, 3, and 6 hours post-MMF dose samples) and plasma albumin concentrations were determined on day 5 posttransplantation. Six-hour area under the concentration-time curve (AUC(0-6)) values were calculated for free and total MPA, and percentage free MPA was determined for each patient. The authors found a significant relationship between low albumin concentrations and increased percentage free MPA (Spearman correlation = -0.54, P < 0.0001). Receiver operating characteristic (ROC) curve analysis was performed on the albumin versus percentage free MPA data. The cutoff value of albumin determined from the ROC analysis that differentiated normal from elevated percentage free MPA (defined as greater than or equal to3%) in this patient population was 31 g/L. At this cutoff value albumin was found to be a good predictor of altered free MPA percentage, with a sensitivity and specificity of 0.75 and 0.80, respectively, and an area under the ROC curve of 0.79. To rationalize MMF dosing regimens in hypoalbuminemic patients (plasma albumin less than or equal to 31 g/L), clinicians should consider monitoring the free MPA concentration.

Maternal valproate dosage and foetal malformations

Objective - To study the possible dose dependence of the foetal malformation rate after exposure to sodium valproate in pregnancy Methods - Analysis of records of all foetuses in the Australian Registry of Antiepileptic Drugs in Pregnancy exposed to valproate, to carbamazepine, lamotrigine or phenytoin in the absence of valproate, and to no antiepileptic drugs. Results - The foetal malformation rate was higher (P < 0.05) in the 110 foetuses exposed to valproate alone (17.1%), and in the 165 exposed to valproate, whether alone or together with the other antiepileptic drugs (15.2%), than in the 297 exposed to the other drugs without valproate (2.4%). It was also higher (P < 0.10) than in the 40 not exposed to antiepileptic drugs (2.5%). Unlike the situation for the other drugs, the malformation rate in those exposed to valproate increased with increasing maternal drug dosage (P < 0.05). The rate was not altered by simultaneous exposure to the other drugs. Valproate doses exceeding 1400 mg per day seemed to be associated with a more steeply increasing malformation rate than at lower doses and with a different pattern of foetal malformations. Conclusion - Foetal exposure to valproate during pregnancy is associated with particularly high, and dose-dependent risks of malformation compared with other antiepileptic drugs, and may possibly involve different teratogenetic mechanisms.