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Population Pharmacokinetic and Pharmacodynamic Model of Evogliptin: Severe Uremia Increases the Bioavailability Of evogliptin

Overview
Publisher Wiley
Specialty Pharmacology
Date 2024 Oct 28
PMID 39465597
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Abstract

Uremia, a condition characterized by the retention of uremic toxins due to impaired renal function, may affect drug metabolism mediated by CYP3A4 enzymes. Evogliptin is a dipeptidyl peptidase-4 (DPP-4) inhibitor diabetic drug that is primarily metabolized by CYP3A4. This study aimed to construct a population pharmacokinetic (PK) and pharmacodynamic (PD) model for evogliptin in patients with varying degrees of renal disease, including end-stage renal disease on hemodialysis. A total of 688 evogliptin concentration and 598 DPP-4 activity data were available from 46 subjects. PK and PD data analyses were performed using a nonlinear mixed-effects model. The PK of evogliptin was optimally described by a two-compartment model with first-order absorption. The significant covariates in the final model included blood amylase and triglyceride on F1 (relative bioavailability). The simulation findings, together with previously reported PK data, provided evidence of a significant inhibition of the first-pass effect of evogliptin in patients with renal impairment. A direct link sigmoidal E model was developed to describe the relationship between evogliptin concentration and DPP-4 inhibition. The PD model predicted significant inhibition of DPP-4 at maximum effect (E: 88.9%) and a low EC value (1.08 μg/L), indicating the high potency and efficacy of evogliptin. The developed PK/PD model accurately predicted exposure and the resulting DPP-4 activity of evogliptin in renal impairment. The findings of this study suggest that renal impairment and associated biochemical changes may impact the bioavailability of CYP3A4-metabolized drugs.

Citing Articles

Population pharmacokinetic and pharmacodynamic model of evogliptin: Severe uremia increases the bioavailability of evogliptin.

Kim B, Kim J, Lee S, Oh J, Cho J, Jang I CPT Pharmacometrics Syst Pharmacol. 2024; 14(2):246-256.

PMID: 39465597 PMC: 11812932. DOI: 10.1002/psp4.13263.

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