PBPK-PD模型用于预测人类的吗啡药理动力学,中枢神经系统影响和纳洛对抗性
Rui-Jing Mu1, Tian-Lei Liu1, Xiao-Dong Liu2
1Department of Pharmacology, College of Pharmacy, China Pharmaceutical University, Nanjing, 210009, China.
一个新的生理学基础的药理动力学-药理动力学 (PBPK-PD) 模型准确地预测了吗啡及其代谢物吗啡-6-葡萄糖 (M6G) 以及纳洛对中枢神经系统 (CNS) 的影响.
科学领域:
- 药理学 药理学是指药理学的学科.
- 药理动力学和药理动力学
- 计算机建模 计算建模
背景情况:
- 吗啡和吗啡-6-葡萄化物 (M6G) 通过mu-阿片类受体激活对中枢神经系统 (CNS) 产生影响.
- 纳洛在临床上用于逆转阿片类药物过量,特别是呼吸系统抑郁,并管理阿片类药物诱导的副作用.
- 预测这些复杂的相互作用需要复杂的建模方法.
研究的目的:
- 开发一个基于生理学的药理动力学-药理动力学 (PBPK-PD) 模型.
- 为了同时预测吗啡的药理动力学和中枢神经系统影响 (肌肉分裂,呼吸抑制,止痛).
- 预测纳洛对吗啡诱导的中枢神经系统影响的对抗作用.
主要方法:
- 整合了体外,体内和动物数据,以获得药理动力学和药理动力学参数.
- 使用了39个和36个临床报告,分别用于药理动力学和药理动力学模拟.
- 根据临床观察验证了PBPK-PD模型,使用Emax模型将中枢神经系统影响与脑外围细胞中自由药物度相关联.
主要成果:
- 在口服和静脉注射后,PBPK-PD模型成功预测了吗啡和M6G的药理动力学.
- 大多数临床观察都在模拟的第5至95百分位之间,这表明模型的性能强大.
- 吗啡对中枢神经系统的影响的贡献比M6G更大;纳洛的对抗作用也得到了准确的预测.
结论:
- 开发的PBPK-PD模型有效地预测了吗啡和M6G的药理动力学和药理动力学.
- 该模型准确地模拟了纳洛对吗啡诱导的中枢神经系统影响的对抗作用.
- 这种PBPK-PD方法,使用临床前研究的参数,为预测阿片类药物相关的中枢神经系统影响提供了可靠的工具.
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