Jeong Seung-Hyun, Jang Ji-Hun, Cho Hea-Young, Lee Yong-Bok
College of Pharmacy, Chonnam National University, 77 Yongbong-ro, Buk-Gu, Gwangju 61186, Korea.
College of Pharmacy, CHA University, 335 Pangyo-ro, Bundang-gu, Seongnam-si, Gyeonggi-Do 13488, Korea.
Pharmaceutics. 2020 Apr 18;12(4):374. doi: 10.3390/pharmaceutics12040374.
The purpose of this study was to perform population pharmacokinetic (PPK) analysis of tiropramide in healthy Korean subjects, as well as to investigate the possible effects of various covariates on pharmacokinetic (PK) parameters of tiropramide. Although tiropramide is commonly used in digestive system-related diseases as an antispasmodic, PPK reporting and factors affecting PKs are not clearly reported. Thus, this study for healthy subjects is very significant because it could find new covariates in patients that had not been reported before or predict PPK for patients in the clinic by establishing PPK in healthy adults. By using Phoenix NLME, PK, demographic, and genetic data (collected to explain PK diversity of tiropramide in population) analyses were performed. As a basic model, a one-compartment with first-order absorption and lag-time was established and extended to include covariates that influenced the inter-subject variability. The total protein significantly influenced the distribution volume and systemic clearance of tiropramide, but genetic factors such as A (1236C>T, 2677G>T/A, and 3435C>T), (*1 and *10), (808G>T), and (1287G>C) genes did not show any significant association with PK parameters of tiropramide. The final PPK model of tiropramide was validated, and suggested that some of the PK diversity in the population could be explained. Herein, we first describe the establishment of the PPK model of tiropramide for healthy Korean subjects, which may be useful as a dosing algorithm for the diseased population.
本研究旨在对健康韩国受试者进行替罗普胺的群体药代动力学(PPK)分析,并研究各种协变量对替罗普胺药代动力学(PK)参数的可能影响。尽管替罗普胺作为一种解痉药常用于消化系统相关疾病,但PPK报告及影响PK的因素尚未得到明确报道。因此,这项针对健康受试者的研究非常重要,因为它可以发现之前未报道过的患者新协变量,或通过建立健康成年人的PPK来预测临床患者的PPK。通过使用Phoenix NLME,对PK、人口统计学和遗传数据(收集这些数据以解释替罗普胺在人群中的PK差异)进行了分析。作为基本模型,建立了一个具有一级吸收和滞后时间的单室模型,并进行扩展以纳入影响受试者间变异性 的协变量。总蛋白显著影响替罗普胺的分布容积和全身清除率,但A(1236C>T、2677G>T/A和3435C>T)、1和10、808G>T以及1287G>C基因等遗传因素与替罗普胺的PK参数未显示出任何显著关联。替罗普胺的最终PPK模型得到了验证,表明人群中的一些PK差异可以得到解释。在此,我们首次描述了健康韩国受试者替罗普胺PPK模型的建立过程,该模型可能作为患病群体的给药算法。