基于哺乳期生理学上的药物动力学模型的应用,以预测被动扩散药物的牛奶暴露
Ruhul Kayesh1, Michelle Pressly1, Daphne Guinn1
1Office of Clinical Pharmacology, Office of Translational Sciences, Center for Drug Evaluation and Research, US Food and Drug Administration, Silver Spring, MD, USA.
基于生理学的药理动力学 (PBPK) 模型准确地预测了非输送基质在人乳中的药物度. 这些模型显示了通过哺乳期评估婴儿药物暴露的潜力.
科学领域:
- 药物动力学
- 药物代谢和运输
- 儿童药物学
背景情况:
- 基于生理学的药理动力学 (PBPK) 模型越来越多地用于预测药物转移到母乳和婴儿暴露.
- 该小组先前开发了一个集成的哺乳期PBPK模型框架,以了解药物转移和婴儿暴露.
- 这项研究评估了乳房PBPK模型的药物,这些药物不是P-glycoprotein (P-gp) 或乳腺癌抵抗蛋白 (BCRP) 载体的基质.
研究的目的:
- 评估哺乳期PBPK模型在预测母体血和牛奶中药物度方面的性能.
- 为了评估这些模型的准确性,药物不是通过P-gp或BCRP积极运输.
- 确定PBPK建模用于预测母乳中药物暴露的潜力.
主要方法:
- 使用Simcyp v23开发了健康成年人的PBPK模型,用于阿提诺洛和埃斯基塔洛普拉姆,并与临床数据进行了验证.
- 使用Simcyp图书馆的阿尔普拉佐兰模型.
- 在Simcyp中为所有三种药物内置一个哺乳区.
主要成果:
- 对阿提诺洛和埃斯基塔洛普拉姆的PBPK模型与临床血度-时间概况一致.
- 哺乳期PBPK模型在预测所有三种药物的牛奶度概况方面显示出合理的一致性.
- 预测的牛奶度-时间概况,药理动力学参数和牛奶与血 (M/ P) 的比率在报告值的两倍之内.
结论:
- 哺乳期PBPK模型显示,对于非P-gp或BCRP基质的药物,在母乳中预测药物暴露具有显著的潜力.
- 经过验证的模型为通过母乳估计婴儿药物暴露提供了可靠的工具.
- 计划对乳腺组织中活性载体的基质药物进行进一步的评估.
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