综合生理学基础的药理动力学模型与定量系统药理学和毒理学模型,用于疾病群体中的他类药物. 第1部分:模型开发和验证
Luna Prieto Garcia1,2, Pär Nordell2, Christine Ahlström2
1Department of Pharmaceutical Biosciences, Translational Drug Discovery and Development, Uppsala University, Box 591, Uppsala, 75124, Sweden.
The AAPS journal
|October 6, 2025
概括
这项研究开发了一种新模型,用于预测慢性脏病 (CKD) 患者的他类药物作用和副作用. 该模型准确地描述了CKD患者的药物水平,胆固醇降低和肌肉毒性风险.
科学领域:
- 药理学 药理学是指药理学的学科.
- 药理动力学 药理动力学
- 毒理学 毒理学 毒理学
背景情况:
- 药物的剂量依赖于血度,但这可能不反映细胞内药物的作用,特别是对于他类药物.
- 斯坦丁的疗效和毒性取决于细胞内点和载体,使得血水平是一个不完美的衡量标准.
- 慢性病改变药物代谢和反应,需要量身定制的剂量策略.
研究的目的:
- 整合基于生理学的药理动力学 (PBPK) 建模与量化系统药理学和毒理学 (QSP-TOX) 统计剂.
- 开发一种对他类药物的药理动力学,疗效和毒性的预测模型,用于正常功能和慢性病的患者.
- 为了考虑CKD特有的生理和代谢变化,影响药物处置和反应.
主要方法:
- 为他类药物开发了一个PBPK-QSP-TOX模型,整合了PK,药理学和毒理学.
- 使用患者数据 (LDL度) 来告知QSP组件和TOX组件的元分析 (肌酸激酶升高).
- 将CKD相关的解剖学,生理学,酶/载体表达和脂蛋白代谢的变化纳入模型.
主要成果:
- 该PBPK-QSP-TOX模型准确地描述了他类药物的血度-时间概况.
- 该模型成功地预测了不同剂量和CKD阶段的他类药物的降脂效应.
- 该模型准确估计了在CKD患者中使用他类药物的肌肉毒性风险 (肌肉激酶升高) .
结论:
- 已经建立了对他类药物的合格PBPK-QSP-TOX模型.
- 这种综合建模方法提供了一个强大的工具,用于预测在CKD中他类药物的疗效和毒性.
- 该模型支持优化他类药物剂量和改善功能受损人群的患者安全.
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