提高预测准确度和避免PBPK吸收模型过度参数化的关键因素在即时释放配方中弱基本水不溶性化合物的食物效应研究中
Miao Zhang1,2, Shudong Zhang3, Lin Wang3
1Drug Clinical Trial Center, Peking University Third Hospital, Beijing 100191, China.
基于生理学的药理动力学 (PBPK) 模型改善了对弱基化合物的药物吸收预测. 优化表面透性提高了准确性,减少了PBPK模型中降水率常数的需要.
科学领域:
- 药理动力学和药物新陈代谢
- 计算机建模和模拟
背景情况:
- 在临床食品效应研究之前,以生理学为基础的药理动力学 (PBPK) 吸收模型对于预测药物吸收至关重要.
- 预测结果和实际结果之间的差异需要改善PBPK模型准确性,以对弱基性,不溶于水的药物的即时释放配方进行改进.
研究的目的:
- 调查增强PBPK模型对食物影响的预测准确性的因素.
- 在白人和中国人群中对利瓦洛克萨班,提卡格勒罗和PB-201的PBPK模型进行完善.
主要方法:
- 使用体外数据开发了机械吸收模型.
- 集成的吸收模型与处置模型,以预测在禁食和食状态下的全身暴露.
- 在模拟的肠液中使用并行人工膜透性试验 (PAMPA) 精制的透性参数.
主要成果:
- PBPK模型对高加索人食物影响的预测准确度中等至高.
- 调整透性参数改善了中国人群中提卡格勒的预测.
- 精制的模型准确地代表了白人的里瓦罗克萨班和蒂卡格勒勒吸收.
结论:
- 显而易见的透性对于改善PBPK模型在弱基,水不溶性化合物中的预测准确性至关重要.
- 药物沉在体内可能不会普遍发生;实验数据是参数确定的关键.
- 避免过度参数化,将诸如降水率常数之类的参数基于实验证据进行可靠的PBPK预测.
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