使用机械静态药物动力学 (MSPK) 模型进行载体介导药物相互作用的定量预测
Satoshi Asano1, Chie Kurosaki2, Yuko Mori3
1Japan Pharmaceutical Manufacturers Association, Nihonbashi Life Science Bldg, 2-3-11 Nihonbashi-honcho, Chuo-Ku, Tokyo, Japan; Teijin Pharma Limited, Toxicology & DMPK Development Research Group, 4-3-2, Asahigaoka, Hino, Tokyo, 191-8512, Japan.
一个新的机械静态药理动力学模型准确地预测了药物运输体介导的药物药物相互作用 (DDI). 该模型显示高准确度,特别是对于他类药物,改善了DDI风险评估.
科学领域:
- 药理学 药理学是指药理学的学科.
- 药物新陈代谢和输送器研究研究
- 药理动力学 药理动力学
背景情况:
- 现有的药物相互作用 (DDI) 准则为酶介导的DDI提供决策树,但缺乏载体介导的DDI的定量方法.
- 预测载体介导的DDI对于药物的安全性和有效性至关重要.
研究的目的:
- 评估净效应机械静态药理动力学 (MSPK) 模型在预测载体介导DDI时的准确性.
- 通过使用口服药物的临床DDI研究数据来评估模型的性能.
主要方法:
- 收集了42个临床DDI病例的数据,其中包括25种口服药物作为在日本批准的事者 (2016年4月 - 2020年6月).
- 使用净效果MSPK模型,包括运输的分数 (ft) 来预测受害药物的AUC比率 (AUCR).
- 将预测的AUCR与观察到的AUCR进行比较.
主要成果:
- 对于所有测试的药物,MSPK模型的准确率达到83%和95%,分别在1.5倍和2倍的误差范围内.
- 对于涉及多个载体的他类药物受害者药物,该模型在1.5倍和2倍的误差范围内分别达到70%和91%的准确性.
- 证明了该模型用于预测多重传送器的基质的受害者药物的AUCR的适用性.
结论:
- 净效应MSPK模型是预测载体介导药物相互作用的宝贵工具.
- 该模型增强了涉及复杂载体相互作用的DDI的定量预测,包括与他类药物相互作用的DDI.
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