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向基因型告知剂量沃里可纳:使用人口药动力学模型对整个CYP2C19表型进行头对头模拟
Yeobin Lee1, Nai Lee1, Su-Jin Rhee2
1College of Pharmacy, Daegu Catholic University, Gyeongsan 38430, Republic of Korea.
Pharmaceutics
|November 27, 2025
概括
选择正确的群体药理动力学 (PopPK) 模型对于指导伏利可纳剂量至关重要. 不同的模型影响预测的药物暴露,影响治疗药物监测 (TDM) 和基于其CYP2C19基因型的患者的初始剂量选择.
科学领域:
- 药理动力学 药理动力学
- 药物新陈代谢 药物新陈代谢
- 临床药理学 临床药理学
背景情况:
- 沃里可纳显示非线性药理动力学和显著的个人间变异性.
- CYP2C19基因型和临床因素是伏利可纳暴露的关键驱动因素.
- 早期治疗药物监测 (TDM) 对于优化伏利可纳治疗至关重要.
研究的目的:
- 评估不同种群药动力学 (PopPK) 模型对基因型分层的伏利可纳暴露的影响.
- 确定模型选择如何影响voriconazole的临床处方决策.
- 为了在标准化成人剂量方案下比较5个CYP2C19信息的PopPK模型.
主要方法:
- 分析了五种由CYP2C19告知的PopPK模型 (云,林,王,多尔顿,弗里伯格).
- 标准化口服剂量方案应用于模拟的广泛 (EM),中间 (IM) 和低代谢 (PM) 的队列.
- 在模型中比较了稳定状态暴露指标,并进行了灵敏度分析.
主要成果:
- 云模型预测了最高的伏利康纳暴露与最的EM-IM-PM梯度.
- 林格模型显示了中间暴露,适合标准成人剂量启动.
- 王模型将EM和PM区分开来,这对于较低限度的暴露检查是有用的,而Friberg/Dolton则表示较低的暴露.
结论:
- 选择PopPK模型显著影响成年人初始沃里康纳剂量范围和TDM时间.
- 建议使用Ling模型作为标准成人沃里可纳启动的基线.
- 尤恩和王等特定模型为以安全为中心的剂量或有限的基因型数据的情况提供了量身定制的指导.
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