700 Journals and 15,000,000 Readers Each Journal is getting 25,000+ ReadersThis Readership is 10 times more when compared to other Subscription Journals (Source: Google Analytics)
Research Article Open Access
Pharmacokinetic (PK) modeling and simulation are fundamental to describe a drug’s fate in a biological system. An understanding of therapeutically effective drug concentrations, dose-related adverse events and appropriate dosing schedules can be informed by PK. Combined PK models that include the model-dependent PKs of a drug and its metabolites in plasma and unchanged drug in urine broadens the spectrum of separated PK models. Software used for PK modeling was validated and evaluated by simulating concentration-time data of a fictive study population. Results of precision and accuracy were under 15% and met criteria for bioanalytical method validation. The PK model was applied to lacosamide and its main metabolite in plasma and lacosamide excreted in urine of healthy subjects and subjects with mild-to-severe renal impairment of a Phase I trial. Resulting PK parameters were consistent with the present understanding of the dependence between lacosamide’s metabolism and renal excretion and behavior in plasma. A model-independent analysis showed elimination processes consisted of renal and metabolic elimination, whereas renal elimination was dependent and metabolic elimination independent from renal function. The developed PK model represents progress in understanding the dependence of lacosamide’s renal excretion and the independence of lacosamide’s metabolism on renal function as well as its behavior in healthy subjects as well as in subjects with normal and impaired renal function.
Elimination, Lacosamide, Metabolite kinetics, Mathematical models, Pharmacokinetic, Renal clearance, ADME Studies, Linear Pharmacokinetics, Pharmacokinetics