PURPOSE: The pharmacokinetics of simvastatin is complex with multiple peaks in the absorption phase, which cannot be adequately described by a conventional first order absorption model. The biotransformation of simvastatin into simvastatin acid, an active metabolite, is reversible. This study evaluated the pharmacokinetics of simvastatin and simvastatin acid, focusing on the absorption kinetics. METHODS: Data were collected from three bioequivalence studies, in which subjects were administered 60 mg simvastatin, and from one crossover study, in which subjects were administered two doses randomly selected from 10, 20, 30, 40 to 80 mg simvastatin with washout period. The pharmacokinetics of simvastatin was assessed in 133 healthy males. Plasma concentrations of simvastatin and simvastatin acid were measured in 2,182 and 2,130 samples, respectively, and the pharmacokinetic data were analyzed using NONMEM. RESULTS: The time course of changes in the plasma simvastatin concentration was best described by a two-compartment linear model with three parallel absorption processes, each of which consisted of mixed zero-and first order absorption. Additions of inter-occasional variability to the absorption parameters significantly improved the model's fit. The disposition parameter estimates were significantly different when different absorption models were applied, indicating the importance of the appropriate absorption modeling. Pharmacokinetic modeling preferred the inter-conversion between simvastatin and simvastatin acid. CONCLUSION: A pharmacokinetic model describing the complex, multiple peak, absorption kinetics of simvastatin was formulated using three parallel, mixed zero and first-order absorptions. This type of absorption model may be applicable to other drugs that show irregular, multiple-peak concentrations during their absorption phase.
RCT Entities:
PURPOSE: The pharmacokinetics of simvastatin is complex with multiple peaks in the absorption phase, which cannot be adequately described by a conventional first order absorption model. The biotransformation of simvastatin into simvastatin acid, an active metabolite, is reversible. This study evaluated the pharmacokinetics of simvastatin and simvastatin acid, focusing on the absorption kinetics. METHODS: Data were collected from three bioequivalence studies, in which subjects were administered 60 mg simvastatin, and from one crossover study, in which subjects were administered two doses randomly selected from 10, 20, 30, 40 to 80 mg simvastatin with washout period. The pharmacokinetics of simvastatin was assessed in 133 healthy males. Plasma concentrations of simvastatin and simvastatin acid were measured in 2,182 and 2,130 samples, respectively, and the pharmacokinetic data were analyzed using NONMEM. RESULTS: The time course of changes in the plasma simvastatin concentration was best described by a two-compartment linear model with three parallel absorption processes, each of which consisted of mixed zero-and first order absorption. Additions of inter-occasional variability to the absorption parameters significantly improved the model's fit. The disposition parameter estimates were significantly different when different absorption models were applied, indicating the importance of the appropriate absorption modeling. Pharmacokinetic modeling preferred the inter-conversion between simvastatin and simvastatin acid. CONCLUSION: A pharmacokinetic model describing the complex, multiple peak, absorption kinetics of simvastatin was formulated using three parallel, mixed zero and first-order absorptions. This type of absorption model may be applicable to other drugs that show irregular, multiple-peak concentrations during their absorption phase.
Authors: Thomayant Prueksaritanont; Raju Subramanian; Xiaojun Fang; Bennett Ma; Yue Qiu; Jiunn H Lin; Paul G Pearson; Thomas A Baillie Journal: Drug Metab Dispos Date: 2002-05 Impact factor: 3.922
Authors: Kayode Ogungbenro; Jonathan B Wagner; Susan Abdel-Rahman; J Steven Leeder; Aleksandra Galetin Journal: Eur J Clin Pharmacol Date: 2019-06-06 Impact factor: 2.953