Kim Byungwook, Kim Jung Eun, Lee Soyoung, Oh Jaeseong, Cho Joo-Youn, Jang In-Jin, Lee SeungHwan, Chung Jae-Yong, Yoon Seonghae
Department of Clinical Pharmacology and Therapeutics, Seoul National University College of Medicine and Hospital, Seoul, Republic of Korea.
College of Pharmacy, Chungnam National University, Daejeon, Republic of Korea.
CPT Pharmacometrics Syst Pharmacol. 2025 Feb;14(2):246-256. doi: 10.1002/psp4.13263. Epub 2024 Oct 28.
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.
尿毒症是一种由于肾功能受损导致尿毒症毒素潴留的病症,可能会影响由CYP3A4酶介导的药物代谢。依格列净是一种二肽基肽酶-4(DPP-4)抑制剂糖尿病药物,主要通过CYP3A4代谢。本研究旨在为不同程度肾病患者(包括接受血液透析的终末期肾病患者)构建依格列净的群体药代动力学(PK)和药效学(PD)模型。共有来自46名受试者的688个依格列净浓度数据和598个DPP-4活性数据。使用非线性混合效应模型进行PK和PD数据分析。依格列净的PK用具有一级吸收的二室模型进行最佳描述。最终模型中的显著协变量包括F1(相对生物利用度)上的血淀粉酶和甘油三酯。模拟结果与先前报道的PK数据一起,为依格列净在肾功能损害患者中的首过效应受到显著抑制提供了证据。开发了一个直接链接S型E模型来描述依格列净浓度与DPP-4抑制之间的关系。PD模型预测在最大效应时(E:88.9%)对DPP-4有显著抑制作用,且EC值较低(1.08μg/L),表明依格列净具有高效能和疗效。所开发的PK/PD模型准确预测了肾功能损害患者中依格列净的暴露量和由此产生的DPP-4活性。本研究结果表明,肾功能损害及相关生化变化可能会影响CYP3A4代谢药物的生物利用度。