Jia Ranran, Zhang Fan, Wu Ni, Xu Wen, Gao Huitao, Liu Bo, Wang Hongyun
Clinical Pharmacology Research Center, Peking Union Medical College Hospital, State Key Laboratory of Complex Severe and Rare Diseases, NMPA Key Laboratory for Clinical Research and Evaluation of Drug, Beijing Key Laboratory of Clinical PK & PD Investigation for Innovative Drugs, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing 100032, China.
Consultant Committee, Hubei Yinghan Pharmaceutical ltd, Wuhan 430074, China.
Pharmaceutics. 2021 Mar 15;13(3):392. doi: 10.3390/pharmaceutics13030392.
Proton pump inhibitors (PPIs) are the mainstay for treatment of acid-related diseases. This study developed a mechanism-based pharmacokinetic (PK) and pharmacodynamics (PD) model with ilaprazole as case drug, so as to support and accelerate the development of novel PPIs. The model was established and verified using the PK and PD data from 26 subjects receiving 5 to 30 mg of ilaprazole and 22 subjects receiving the loading dose of ilaprazole 20 mg followed by 10 mg once daily for 2 days. The nonlinear mixed-effects modeling approach was performed for the PK/PD model. A two-compartment model with linear elimination and covariates (body weight and gender) described the observed data well. The relationship between plasma concentrations of ilaprazole and gastric acid pH was well quantified with individual variability, in which the synthesis and degradation of H/K-ATPase, the food effect, the circular rhythms of gastric acid secretion, and the irreversible inhibition of H/K-ATPase by ilaprazole were integrated. This PK/PD model well predicted the PK and PD profile of ilaprazole in healthy subjects and patients with duodenal ulcers receiving wide range dose regimens. The mechanism-based PK/PD model provided a potential strategy to accelerate the development of novel PPIs by waiving the unnecessary clinical trials.
质子泵抑制剂(PPIs)是治疗酸相关性疾病的主要药物。本研究以伊拉普唑为案例药物建立了基于机制的药代动力学(PK)和药效学(PD)模型,以支持和加速新型PPIs的开发。该模型利用26名接受5至30毫克伊拉普唑的受试者以及22名接受20毫克伊拉普唑负荷剂量、随后每日一次10毫克共2天的受试者的PK和PD数据进行建立和验证。对PK/PD模型采用非线性混合效应建模方法。具有线性消除和协变量(体重和性别)的二室模型能很好地描述观测数据。伊拉普唑血浆浓度与胃酸pH值之间的关系通过个体变异性得到了很好的量化,其中整合了H/K-ATP酶的合成与降解、食物效应、胃酸分泌的昼夜节律以及伊拉普唑对H/K-ATP酶的不可逆抑制。该PK/PD模型能很好地预测伊拉普唑在健康受试者和接受广泛剂量方案的十二指肠溃疡患者中的PK和PD特征。基于机制的PK/PD模型为通过免除不必要的临床试验加速新型PPIs的开发提供了一种潜在策略。