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时间变异清除的人口药动力学建模实践:从首次在人体上进行的病例研究的见解
Yongjun Hu1, Lan Gao1, Ronald Kong1
1Pharmametrics in Clinical Pharmacology, PTC Therapeutics Inc., 500 Warren Corporate Center Drive, Warren, New Jersey, USA.
这项研究开发了一种药理动力学模型,以准确地描述早期药物开发中的时间变化的清除. 该模型通过解决非线性药理动力学和食效应来改进剂量策略.
科学领域:
- 药理动力学和药物开发
- 制药计量建模 制药计量建模
- 临床药理学 临床药理学
背景情况:
- 准确地描述时间变异清除 (CL) 对早期药物开发和临床试验设计至关重要.
- 早期发育的有限数据对检测和建模时间变化的CL构成挑战.
- 了解药物处置,包括CL,为剂量策略和试验优化提供了信息.
研究的目的:
- 探索时间变化的清除,剂量相称性和食对 utreloxastat 的药理动力学 (PK) 的影响.
- 开发和验证一个群体药理动力学 (PopPK) 模型,以表征乌特雷洛克萨斯塔特PK.
- 从十二个不同的模型中确定最适合时间变化的清除模型.
主要方法:
- 利用了来自第一次在人身上 (FIH) 研究的药理动力学数据,其中包括单剂和多剂量上升剂量.
- 开发了一种 PopPK 模型,该模型包含两个分区框架和一级吸收,有八个运输分区.
- 系统评估了12种不同的时间变化的清除模型,以确定最佳合适.
主要成果:
- 确定了一个指数式时间变化的清除模型是最适合乌特雷洛克萨斯塔特数据的.
- 观察到与剂量相比较的动力学和PK的饮食依赖性变化.
- 没有发现性别,年龄或体重对药理动力学变异性的显著影响.
结论:
- 这项研究展示了第一次对小分子的时间变化的清除模型进行比较评估.
- 在FIH研究中应用时间变化的清除模型对于优化基于模型的剂量策略至关重要.
- 这种方法有效地解决了非线性药理动力学问题,增强了未来试验的药物开发实践.
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