基于生理学的药理动力学模型来预测健康和疾病人群中metoprolol的处置
Ammara Zamir1, Muhammad Fawad Rasool1, Imran Imran2
1Department of Pharmacy Practice, Faculty of Pharmacy, Bahauddin Zakariya University, Multan 60800, Pakistan.
ACS omega
|August 21, 2023
概括
开发了基于生理学的药理动力学 (PBPK) 模型,以评估健康个体和慢性脏病 (CKD) 或急性心肌梗塞 (AMI) 患者的美托普罗罗尔PK. 这些模型准确地预测了PK变化,有助于优化患病人群的剂量.
科学领域:
- 药理动力学 药理动力学
- 药物开发 药物开发
- 计算建模 计算建模
背景情况:
- 基于生理学上的药理动力学 (PBPK) 模型在药物开发中越来越多地被使用.
- 了解在各种疾病状态下甲醇的药理动力学 (PK) 行为对于安全有效的剂量至关重要.
研究的目的:
- 开发和评估健康个体中甲醇的PBPK模型,以及患有慢性病 (CKD) 和急性心肌梗塞 (AMI) 的个体.
- 评估CKD和AMI对美托普罗罗尔的PK参数的影响,包括曲线下的面积 (AUC),最大血度和清除.
- 根据患病人群中预测的PK变化,提出对梅托普罗罗尔的剂量调整.
主要方法:
- 进行了广泛的文献审查,以收集美托普罗的血度-时间数据和药物参数.
- 使用PK-Sim程序开发了PBPK模型,包括静脉注射,口服和疾病特异性参数.
- 用视觉预测检查,平均观察/预测比率 (Robs/pre) 和平均折叠误差来评估模型性能.
主要成果:
- 开发的PBPK模型准确地预测了metoprolol在健康和患病人群中的PK参数,平均Robs/pre比在可接受的2倍错误范围内.
- 模拟显示CKD和AMI对美托普罗罗尔未结合和总AUC的显著影响.
- 剂量减少建议是基于在CKD不同阶段观察到的AUC差异得出的.
结论:
- PBPK模型成功地阐明了在患有脏和心脏病的个体中美托普罗罗尔的PK变异性.
- 这些经过验证的PBPK模型可以指导CKD和AMI患者对美托普罗罗尔的剂量优化策略.
- 该研究强调了PBPK建模在个性化医学和药物治疗管理中的实用性.
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