开发,验证和应用一个中国儿科生理学基础的药动力学模型:强调CYP代谢和脏清除
Rosalind L Southall1, Jean Dinh2, Xian Pan2
1Certara Predictive Technologies, Certara UK Limited, Sheffield, UK. roz.southall@certara.com.
The AAPS journal
|November 10, 2025
概括
这项研究开发了一种中国儿科生理学基础的药理动力学 (PBPK) 模型,用于预测儿童的药物行为. 该模型准确地预测了各种药物的药理动力学参数,支持其在不同种族的儿科药物开发中使用.
科学领域:
- 药理动力学 药理动力学
- 儿科药物开发 儿科药物开发
- 计算机建模 计算建模
背景情况:
- 基于生理学上的药理动力学 (PBPK) 模型对于儿科药物开发至关重要.
- 考虑年龄和种族对于准确的PBPK模型至关重要.
- 需要针对中国儿科病人的特定PBPK模型.
研究的目的:
- 开发,验证和应用一个中国儿科PBPK (p-PBPK) 模型.
- 代表中国儿科生理参数和人口统计.
- 评估模型对各种药物和排泄途径的预测性能.
主要方法:
- 使用公开来源的中国儿科生理学数据组装了一个p-PBPK模型.
- 使用七种药物的药理动力学数据验证了该模型 (芬太尼,米达佐拉姆,鲁克索利提尼布,埃法维伦兹,西奥菲林,塞夫塔齐迪姆,万科米辛).
- 通过比较预测与观察到的药理动力学参数来评估模型性能.
主要成果:
- 中国的p-PBPK模型准确地代表了人口和生理学参数.
- 79%的药理学参数被预测在与观察数据的0.8-1.25倍差距之内.
- 100%的预测都在0.67到1.5倍的差距内,显示出高准确度.
结论:
- 开发的中国p-PBPK模型是儿童药物开发的宝贵工具.
- 该模型成功预测了中国儿科患者的药物行为,有助于评估剂量方案.
- 将PBPK模型扩展到不同的种族群体对于全球药物开发和监管使用至关重要.
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