TY - JOUR
T1 - Mechanism-based population pharmacokinetic modelling in diabetes: vildagliptin as a tight binding inhibitor and substrate of dipeptidyl peptidase IV
AU - Landersdorfer, Cornelia Barbara
AU - He, Yan-Ling
AU - Jusko, William J
PY - 2012
Y1 - 2012
N2 - 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.
AB - 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.
UR - http://onlinelibrary.wiley.com/doi/10.1111/j.1365-2125.2011.04108.x/pdf
U2 - 10.1111/j.1365-2125.2011.04108.x
DO - 10.1111/j.1365-2125.2011.04108.x
M3 - Article
SN - 0306-5251
VL - 73
SP - 391
EP - 401
JO - British Journal of Clinical Pharmacology
JF - British Journal of Clinical Pharmacology
IS - 3
ER -