一个自下而上的方法,用于突变和野生类型的科利使用生理学基础的药理动力学 (PBPK) 建模:一个用洛佩拉胺的案例研究
Charlotte Cross1, Marilyn N Martinez2, Devendra Pade1
1Certara UK Ltd., Certara Predictive Technologies, Simcyp Division, Level 2-Acero, 1 Concourse Way, Sheffield, S1 2BJ, UK.
The AAPS journal
|June 2, 2025
概括
一个新的基于生理学的药理动力学 (PBPK) 模型准确地预测了科利犬的洛佩拉米德药物水平. 该模型解释了多药耐药性1 (Mdr1) 基因的遗传变异,改善了该品种的药物安全预测.
科学领域:
- 药理动力学和药物新陈代谢
- 兽医药理学 兽医药理学
- 计算生物学 计算生物学
背景情况:
- 洛佩拉胺是P-glycoprotein (P-gp) 的基质,由多药耐药性1 (Mdr1) 基因编码.
- 科利犬等Mdr1基因的遗传变异可以显著改变药物的药理动力学.
- 准确预测特定犬种的药物行为对于安全有效的治疗用途至关重要.
研究的目的:
- 开发一个自下而上的基于生理学上的药理动力学 (PBPK) 模型,用于预测科利的洛佩拉米德药理动力学.
- 纳入体外到体内抽取 (IVIVE) 技术,以预测体内药物暴露.
- 为了评估模型在野生型 (WT) 和Mdr1缺陷 (Mu, Δ-Mdr1) Collies中的性能.
主要方法:
- 使用已公布的生理学数据,为科利犬开发一种特定品种的全身PBPK模型.
- 在体外到体内抽取 (IVIVE) 的应用,以预测洛佩拉米德的吸收,分布,新陈代谢和排泄 (ADME).
- 使用Simcyp动物模拟器进行loperamide IVIVE-PBPK的建模和模拟.
主要成果:
- 开发的PBPK模型成功地捕获了在WT和Mu Collies中观察到的洛佩拉的血度与时间的概况.
- 曲线下面积 (AUC) 和最大血度 (Cmax) 的模型预测与观察值有很好的一致性.
- 预测的Cmax值在67%的WT狗剂量中处于观察值的±25%范围内,AUC预测在所有Mu狗剂量中处于50%范围内.
结论:
- 这项研究提出了第一个系统方法,用于开发一种特定于科利的PBPK模型,以预测洛佩拉米德的药理动力学.
- 该模型有效地说明了狗Mdr1遗传变异对药物处置的影响.
- 已建立的IVIVE-PBPK框架提供了一个一般的工作流程,用于预测特定犬种的体内药物行为.
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