Liu Hongrui, Yu Yiqun, Guo Nan, Wang Xiaojuan, Han Bing, Xiang Xiaoqiang
Department of Pharmacy, Minhang Hospital, Fudan University, Shanghai, China.
Department of Clinical Pharmacy, School of Pharmacy, Fudan University, Shanghai, China.
Front Pharmacol. 2021 Nov 22;12:780937. doi: 10.3389/fphar.2021.780937. eCollection 2021.
Apatinib is an orally administered vascular epidermal growth factor receptor (VEGFR)-tyrosine kinase inhibitors approved for the treatment of advanced gastric adenocarcinoma or gastric esophageal junction adenocarcinoma. Apatinib is predominantly metabolized by CYP3A4/5, followed by CYP2D6. The present study aimed to evaluate the potential drug-drug interaction (DDI) and drug-disease interaction (DDZI) risks of apatinib in Chinese volunteers. Modeling and simulation were conducted using Simcyp Simulator. The input parameters required for modeling were obtained from literature research or experiments. Then, the developed physiologically based pharmacokinetic (PBPK) models were applied to evaluate single-dose DDI potential in Chinese healthy volunteers with weak and moderate CYP3A inhibitors, strong CYP2D6 inhibitors, as well as CYP3A4 inducers. The DDZI potential was also predicted in patients with hepatic or renal impairment. The developed PBPK models accurately assessed apatinib pharmacokinetics following single-dose administration in Chinese healthy volunteers and cancer patients. The DDI simulation showed 2-4-fold changes in apatinib exposures by moderate CYP3A4 inhibitors and CYP3A4 inducers. A moderate increase of apatinib exposure (1.25-2-fold) was found with strong CYP2D6 inhibitor. In the DDZI simulation with hepatic impairment, the AUC of apatinib was significantly increased by 2.25-fold and 3.04-fold for Child-Pugh B and Child-Pugh C, respectively, with slightly decreased C by 1.54 and 1.67-fold, respectively. The PBPK models developed in the present study would be highly beneficial to quantitatively predict the pharmacokinetic changes of apatinib under different circumstances, which might be difficult to evaluate clinically, so as to avoid some risks in advance.
阿帕替尼是一种口服的血管内皮生长因子受体(VEGFR)-酪氨酸激酶抑制剂,被批准用于治疗晚期胃腺癌或胃食管交界腺癌。阿帕替尼主要通过CYP3A4/5代谢,其次是CYP2D6。本研究旨在评估阿帕替尼在中国志愿者中的潜在药物-药物相互作用(DDI)和药物-疾病相互作用(DDZI)风险。使用Simcyp模拟器进行建模和模拟。建模所需的输入参数来自文献研究或实验。然后,将开发的基于生理的药代动力学(PBPK)模型应用于评估中国健康志愿者与弱和中度CYP3A抑制剂、强CYP2D6抑制剂以及CYP3A4诱导剂之间的单剂量DDI潜力。还预测了肝或肾功能损害患者的DDZI潜力。所开发的PBPK模型准确评估了中国健康志愿者和癌症患者单剂量给药后阿帕替尼的药代动力学。DDI模拟显示,中度CYP3A4抑制剂和CYP3A4诱导剂使阿帕替尼的暴露量有2至4倍的变化。发现强CYP2D6抑制剂使阿帕替尼的暴露量适度增加(1.25至2倍)。在肝损伤的DDZI模拟中,Child-Pugh B和Child-Pugh C级患者的阿帕替尼AUC分别显著增加2.25倍和3.04倍,C分别略有下降1.54倍和1.67倍。本研究中开发的PBPK模型将非常有助于定量预测阿帕替尼在不同情况下的药代动力学变化,这些变化在临床上可能难以评估,从而提前避免一些风险。