在Simcyp模拟器中开发人群文件的指南,用于基于生理学的药理动力学建模
Liam Curry1, Sarah Alrubia2,3, Frederic Y Bois1
1Certara Predictive Technologies (CPT), Simcyp Division, Sheffield, UK.
CPT: pharmacometrics & systems pharmacology
|July 20, 2024
概括
基于生理学的药理动力学 (PBPK) 建模利用体外数据和生物参数预测特定人群中的药物行为. 本教程指导创建虚拟人群以准确的药理动力学预测,特别是在临床研究具有挑战性的患者群体.
科学领域:
- 药理动力学和药物新陈代谢
- 计算生物学和生物信息学
- 制药科学 制药科学
背景情况:
- 基于生理学的药理动力学 (PBPK) 建模对于预测药物行为至关重要.
- 模拟器Simcyp是一个广泛采用的软件,用于制药行业的随机PBPK建模.
- PBPK将体外数据与生物参数集成在一起,以预测不同人群中的药理动力学变化.
研究的目的:
- 为提供关于为PBPK建模创建虚拟群体的教程.
- 详细说明输入参数和模型资格,以便进行可靠的药理动力学预测.
- 用特定患者群体的案例研究来说明PBPK的应用.
主要方法:
- 使用Simcyp模拟器进行PBPK建模.
- 将体外药物数据与生理和生物参数结合起来.
- 为虚拟人口开发人口档案,包括对肥胖和克罗恩病患者的案例研究.
主要成果:
- 为特定的患者群体逐步开发人口档案的演示.
- 突出了各种使用背景的合格PBPK模型的考虑因素.
- 提供一个框架来预测在临床研究不可行的群体中的药理动力学变化.
结论:
- PBPK 建模有效地预测了药理动力学变化,填补了临床研究不切实际的空白.
- 该教程为生成可靠的虚拟群体提供了实际指导.
- 这种方法支持针对不同患者群体进行明智的剂量调整和药物开发策略.
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