A mechanistic modelling approach for the determination of the mechanisms of inhibition by cyclosporine on the uptake and metabolism of atorvastatin in rat hepatocytes using a high throughput uptake method

Determine the inhibition mechanism through which cyclosporine inhibits the uptake and metabolism of atorvastatin in fresh rat hepatocytes using mechanistic models applied to data generated using a high throughput oil spin method. Atorvastatin was incubated in fresh rat hepatocytes (0.05–150 nmol/ml) with or without 20 min pre-incubation with 10 nmol/ml cyclosporine and sampled over 0.25–60 min using a high throughput oil spin method. Micro-rate constant and macro-rate constant mechanistic models were ranked based on goodness of fit values. The best fitting model to the data was a micro-rate constant mechanistic model including non-competitive inhibition of uptake and competitive inhibition of metabolism by cyclosporine (Model 2). The association rate constant for atorvastatin was 150-fold greater than the dissociation rate constant and 10-fold greater than the translocation into the cell. The association and dissociation rate constants for cyclosporine were 7-fold smaller and 10-fold greater, respectively, than atorvastatin. The simulated atorvastatin-transporter-cyclosporine complex derived using the micro-rate constant parameter estimates increased in line with the incubation concentration of atorvastatin. The increased amount of data generated with the high throughput oil spin method, combined with a micro-rate constant mechanistic model helps to explain the inhibition of uptake by cyclosporine following pre-incubation

Population pharmacokinetics of total and unbound teicoplanin concentrations and dosing simulations in patients with haematological malignancy

To develop a pharmacokinetic model describing total and unbound teicoplanin concentrations in patients with haematological malignancy and to perform Monte Carlo simulations to evaluate target attainment of unbound trough concentrations with various dose regimens.This was a hospital-based clinical trial (EudraCT 2013-004535-72). The dosing regimen was 600/800 mg q12h for three doses then 600/800 mg daily. Serial total and unbound teicoplanin concentrations were collected. Maximum protein binding was estimated from serum albumin concentration. Population pharmacokinetic analyses and Monte Carlo simulations were conducted using Pmetrics®. Target total and unbound trough concentrations were ≥20 and ≥1.5 mg/L, respectively.Thirty adult patients were recruited with a mean (SD) bodyweight of 69.1 (15.8) kg, a mean (SD) CLCR of 72 (41) mL/min and a median (IQR) serum albumin concentration of 29 (4) g/L. A three-compartment complex binding pharmacokinetic model best described the concentration-time data. Total and unbound teicoplanin concentrations were related by serum albumin concentration and a dissociation constant. CLCR and bodyweight were supported as covariates for CL and volume of the central compartment, respectively. Dosing simulations showed that high CLCR was associated with reduced probability of achieving target total and unbound trough concentrations. Low serum albumin concentration was associated with a reduced probability of attaining target total but not unbound trough concentrations. A method to estimate the unbound teicoplanin concentration from the measured total concentration at different serum albumin concentration was demonstrated.Standard teicoplanin dosing regimens should be used with caution in patients with haematological malignancy. Bodyweight, CLCR and serum albumin concentration are important considerations for appropriate dosing