评估dordaviprone的细胞染色体P450药物相互作用风险,使用生理学基础的药物动力学建模
Swati Jaiswal1, Nikunjkumar K Patel1, Hannah M Jones1
1Certara Predictive Technologies, Simcyp Division, Certara Inc, Radnor, Pennsylvania, USA.
开发了一种新的基于生理学的多达维的药动力学模型. 它预测药物相互作用,表明需要对CYP3A4抑制剂和诱导剂进行剂量调整,应避免使用.
科学领域:
- 药理动力学和药物新陈代谢
- 瘤学 药物开发 药物开发
- 计算生物学 计算生物学
背景情况:
- 多达维是一种小分子,在质瘤中具有抗瘤活性.
- 了解其药理动力学特征和药物相互作用 (DDI) 潜力对于安全有效的临床使用至关重要.
研究的目的:
- 开发和验证dordaviprone的生理学基础的药理动力学 (PBPK) 模型.
- 评估多达维的DDI潜力,作为药物代谢酶的受害者和事者,特别是CYP3A4.
主要方法:
- 使用体外和临床数据与Simcyp基于人口的模拟器构建了一个最小分布PBPK模型.
- 该模型与评估多达维暴露的临床研究进行了验证.
- 通过模拟与CYP3A4抑制剂和诱导剂的同时使用,并评估多达维对CYP3A4,CYP2C8和CYP2D6.2的抑制,评估了DDI潜力.
主要成果:
- 该PBPK模型准确地预测了多达维暴露,模拟值在观察数据的1.4倍之内.
- 模拟显示多达维与伊特拉可纳AUC增加了4.6倍,与观察到的数据一致.
- 多达维没有抑制CYP2C8或CYP2D6,其对CYP3A4的抑制也不足以改变探针基质暴露.
结论:
- 开发的PBPK模型是预测多达维的药理动力学和DDI的可靠工具.
- 当多尔达维与CYP3A4抑制剂同时使用时,可能需要调整其剂量.
- 在多尔达维治疗期间应避免使用CYP3A4诱导剂,以防止降低药物暴露.
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