Acecainide pharmacokinetics in normal subjects of known acetylator phenotype

APPLICATION OF A GENERIC PHYSIOLOGICALLY BASED PHARMACOKINETIC MODEL TO THE ESTIMATION OF XENOBIOTIC LEVELS IN HUMAN PLASMA

Estimation of xenobiotic kinetics in humans frequently relies upon extrapolation from experimental data generated in animals. In an accompanying paper, we have presented a unique, generic, physiologically based pharmacokinetic model and described its application to the prediction of rat plasma pharmacokinetics from in vitro data alone. Here we demonstrate the application of the same model, parameterized for human physiology, to the estimation of plasma pharmacokinetics in humans and report a comparative evaluation against some recently published predictive methods that involve scaling from in vivo animal data. The model was parameterized through an optimization process, using a training set of in vivo data taken from the literature, and validated using a separate test set of published in vivo data. On average, the vertical divergence of the predicted plasma concentrations from the observed data, on a semilog concentration-time plot, was 0.47 log unit. For the training set, more than 80% of the predicted values of a standardized measure of the area under the concentration-time curve were within 3-fold of the observed values; over 70% of the test set predictions were within the same margin. Furthermore, in terms of predicting human clearance for the test set, the model was found to match or exceed the performance of three published interspecies scaling methods, all of which showed a distinct bias toward overprediction. We conclude that the generic physiologically based pharmacokinetic model, as a means of integrating readily determined in vitro and/or in silico data, is potentially a powerful, cost-effective tool for predicting human xenobiotic kinetics in drug discovery and risk assessment.

Arylamine N-acetyltransferases and drug response

Arylamine N-acetyltransferases (NATs) play an important role in the interaction of competing metabolic pathways determining the fate of and response to xenobiotics as therapeutic drugs, occupational chemicals and carcinogenic substances. Individual susceptibility for drug response and possible adverse drug reactions are modulated by the genetic predisposition (manifested for example, by polymorphisms) and the phenotype of these enzymes. For all drugs metabolized by NATs, the impact of different in vivo enzyme activities is reviewed with regard to therapeutic use, prevention of side effects and possible indications for risk assessment by phenotyping and/or genotyping. As genes of NATs are susceptibility genes for multifactorial adverse effects and xenobiotic-related diseases, risk prediction can only be made possible by taking the complexity of events into consideration.

Inhibition of N-acetylation of procainamide and renal clearance of N-acetylprocainamide by para-aminobenzoic acid in humans

Procainamide administration often results in excessively high serum N-acetylprocainamide (NAPA) concentrations and subtherapeutic serum procainamide concentrations. Inhibition of N-acetylation of procainamide may prevent accumulation of excessive NAPA while maintaining therapeutic serum procainamide concentrations. The purpose of this randomized, two-way crossover study was to determine if para-aminobenzoic acid (PABA) inhibits N-acetylation of procainamide in healthy volunteers. Eleven (7 female, 4 male) fast acetylators of caffeine received, in random order, PABA 1.5 g orally every 6 hours for 5 days, with a single intravenous dose of procainamide 750 mg administered over 30 minutes on the third day, or intravenous procainamide alone. Blood samples were collected during a 48-hour period after initiation of the infusion. Urine was collected over a 72-hour period. Serum procainamide and NAPA concentrations were analyzed using fluorescence polarization immunoassay. Urine procainamide and NAPA concentrations were measured with high performance liquid chromatography. PABA did not significantly influence total or renal procainamide clearance, elimination rate constant, AUC0-00, amount of procainamide excreted unchanged in the urine, or volume of distribution. However, concomitant PABA administration with procainamide resulted in increases in NAPA AUC0-00 and t1/2 and reductions in NAPA Ke, procainamide acetylation (NAPA formation) clearance, and NAPA renal clearance. Although PABA inhibits metabolic conversion of procainamide to NAPA, it also impairs the renal clearance of NAPA (but not procainamide) in healthy subjects. Therefore, PABA may not be useful for optimizing the safety of efficacy of procainamide in patients.