Abstract
Aims: To assess the pharmacokinetics of vildagliptin at different doses and build a mechanism-based population model that simultaneously describes vildagliptin pharmacokinetics and its effects on DPP-4 activity based on underlying physiology and biology. Methods: Vildagliptin concentrations and DPP-4 activity vs. time from 13 type 2 diabetic patients after oral vildagliptin 10, 25 or 100mg and placebo twice daily for 28days were co-modelled. NONMEM VI and S-ADAPT were utilized for population modelling. Results: A target-mediated drug disposition (TMDD) model accounting for capacity-limited high affinity binding of vildagliptin to DPP-4 in plasma and tissues had good predictive performance. Modelling the full time course of the vildagliptin-DPP-4 interaction suggested parallel vildagliptin dissociation from DPP-4 by a slow first-order process and hydrolysis by DPP-4 to an inactive metabolite as a disposition mechanism. Due to limited amounts of DPP-4, vildagliptin concentrations increased slightly more than dose proportionally. This newly proposed model and the parameter estimates are supported by published in vitro studies. Mean parameter estimates (inter-individual coefficient of variation) were: non-saturable clearance 36lh -1 (25%), central volume of distribution 22l (37%), half-life of dissociation from DPP-4 1.1h (94%) and half-life of hydrolysis 6.3h (81%). Conclusions: Vildagliptin is both an inhibitor and substrate for DPP-4. By utilizing the TMDD approach, slow dissociation of vildagliptin from DPP-4 was found in patients and the half-life of hydrolysis by DPP-4 estimated. This model can be used to predict DPP-4 inhibition effects of other dosage regimens and be modified for other DPP-4 inhibitors to differentiate their properties.
| Original language | English |
|---|---|
| Pages (from-to) | 391-401 |
| Number of pages | 11 |
| Journal | British Journal of Clinical Pharmacology |
| Volume | 73 |
| Issue number | 3 |
| DOIs | |
| State | Published - Mar 2012 |
Keywords
- DPP-4 inhibitor
- Mechanism-based population modelling
- Pharmacokinetics
- Type 2 diabetes mellitus
- Vildagliptin
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