基于机械静态模型的运输基质药物相互作用的预测,使用阿托瓦斯塔丁和里法辛
Pallabi Mitra1, Rumanah Kasliwala2, Laeticia Iboki2
1Department of Drug Metabolism and Pharmacokinetics, Boehringer Ingelheim Pharmaceuticals Inc., 900 Old Ridgebury Road, Ridgefield, CT, 06877, USA. pallabi.mitra@boehringer-ingelheim.com.
Pharmaceutical research
|October 11, 2023
概括
相对活性因子 (RAF) 技术准确地预测了载体基板的药物相互作用 (DDI). 该方法量化了载体作用,并确定了在DDI期间增加药物暴露的关键途径.
科学领域:
- 药理学 药理学是指药理学的学科.
- 药物代谢和药理动力学
- 生物技术是生物技术.
背景情况:
- 涉及载体基质的药物相互作用 (DDI) 在预测临床结果方面提出了挑战.
- 了解各种清除途径的贡献对于准确的DDI预测至关重要.
- 现有的模型往往需要改进,以考虑复杂的传送器介导过程.
研究的目的:
- 评估相对活动因子 (RAF) 技术与机械静态建模相结合的有效性,以预测DDI大小.
- 分析涉及载体基板的复杂DDI中不同清除途径的贡献.
- 为了验证这种方法,使用阿托瓦斯塔丁和里芬素作为模型基质和抑制剂对.
主要方法:
- 在体外研究中使用转染的HEK293细胞,肝细胞和人类肝脏显微体.
- 应用相对活性因子 (RAF) 技术进行体外到体外抽取.
- 机械静态建模模拟DDI场景和评估清除途径贡献.
主要成果:
- 该RAF方法成功地将阿托瓦斯塔丁的吸收从转染细胞转移到肝细胞.
- 通过整合OATP1B1/OATP1B3.3的cis和trans抑制,可以准确预测阿托瓦斯塔丁-里法辛的DDI大小.
- 同时抑制OATP1B1和OATP1B3被确定为主要的驱动因素 (约. 80%) 的阿托瓦斯塔丁暴露增加.
结论:
- 基于RAF的翻译方法与机械静态建模相结合,对于预测载体基板DDI是有效的.
- 这种方法为DDI途径提供了有价值的机制性见解.
- 该研究强调了特定载体 (OATP1B1/OATP1B3) 在调解阿托瓦斯塔丁等基质的DDI方面的重要性.
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