Population pharmacokinetics of exenatide.
Br J Clin Pharmacol · 2017
Last updated 2026-05-28| Journal | Br J Clin Pharmacol, 2017 |
|---|---|
| Citations | 29 |
| Relative citation ratio | 1.32 |
| NIH percentile | 60 |
| Molecules | exenatide |
Abstract
AIM: The aim of the present analysis was to develop a core population pharmacokinetic model for the pharmacokinetic properties of immediate-release (IR) exenatide, which can be used in subsequent analyses of novel sustained-release formulations.
METHODS: Data from eight clinical trials, evaluating a wide range of doses and different administration routes, were available for analysis. All modelling and simulations were conducted using the nonlinear mixed-effect modelling program NONMEM. External model validation was performed using data from the phase III clinical trials programme through standard visual predictive checks.
RESULTS: The pharmacokinetics of IR exenatide was described by a two-compartment model, and the absorption of subcutaneous exenatide was described with a sequential zero-order rate constant followed by a saturable nonlinear absorption process. Drug elimination was characterized by two parallel routes (linear and nonlinear), with significant relationships between renal function and the linear elimination route, and between body weight and volume of distribution. For a subject with normal renal function, the linear clearance was estimated to be 5.06 l hr . The nonlinear elimination was quantified with a Michaelis-Menten constant (K ) of 567 pg ml and a maximum rate of metabolism (V ) of 1.6 μg h . For subcutaneous administration, 37% of the subcutaneous dose is absorbed via the zero-order process, and the remaining 63% via the nonlinear pathway.
CONCLUSIONS: The present analysis provides a comprehensive population pharmacokinetic model for exenatide, expanding the elimination process to include both linear and nonlinear components, providing a suitable platform for a broad range of concentrations and patient conditions that can be leveraged in future modelling efforts of sustained-release exenatide formulations.
Verbatim abstract via PubMed 27650681 ↗
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