Yang Fen, Wang Baolian, Liu Zhihao, Xia Xuejun, Wang Weijun, Yin Dali, Sheng Li, Li Yan
Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education), Center of Drug Clinical Trial, Peking University Cancer Hospital and Institute, Beijing, China.
Clinical Pharmacology Research Center, Peking Union Medical College Hospital and Chinese Academy of Medical Sciences, Beijing, China.
Front Pharmacol. 2017 Oct 10;8:683. doi: 10.3389/fphar.2017.00683. eCollection 2017.
Physiologically based pharmacokinetic (PBPK)/pharmacodynamic (PD) models can contribute to animal-to-human extrapolation and therapeutic dose predictions. Buagafuran is a novel anxiolytic agent and phase I clinical trials of buagafuran have been completed. In this paper, a potentially effective dose for buagafuran of 30 mg t.i.d. in human was estimated based on the human brain concentration predicted by a PBPK/PD modeling. The software GastroPlus was used to build the PBPK/PD model for buagafuran in rat which related the brain tissue concentrations of buagafuran and the times of animals entering the open arms in the pharmacological model of elevated plus-maze. Buagafuran concentrations in human plasma were fitted and brain tissue concentrations were predicted by using a human PBPK model in which the predicted plasma profiles were in good agreement with observations. The results provided supportive data for the rational use of buagafuran in clinic.
基于生理的药代动力学(PBPK)/药效学(PD)模型有助于从动物外推至人体以及预测治疗剂量。布阿加呋喃是一种新型抗焦虑药物,其I期临床试验已经完成。在本文中,基于PBPK/PD模型预测的人脑浓度,估计了布阿加呋喃在人体中的潜在有效剂量为30mg每日三次。使用GastroPlus软件构建了布阿加呋喃在大鼠体内的PBPK/PD模型,该模型将布阿加呋喃的脑组织浓度与动物在高架十字迷宫药理学模型中进入开放臂的时间相关联。通过使用人体PBPK模型拟合人体血浆中布阿加呋喃的浓度并预测脑组织浓度,其中预测的血浆曲线与观察结果高度吻合。这些结果为布阿加呋喃在临床上的合理使用提供了支持性数据。