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脑内动脉递送的计算药代动力学原理。

Computational pharmacokinetic rationale for intra-arterial delivery to the brain.

机构信息

Department of Anesthesiology, Columbia University Medical Center, 630 West 168th Street, P&S Box 46, New York, NY, 10032, USA.

Department of Neurological Surgery, Columbia University Medical Center, New York, NY, USA.

出版信息

Drug Deliv Transl Res. 2016 Oct;6(5):622-9. doi: 10.1007/s13346-016-0319-6.

Abstract

Intra-arterial (IA) drug delivery has been proposed for the treatment of a wide range of brain diseases, including malignant brain tumors. However, pharmacokinetic optimization for IA drug delivery to the brain remains a challenge. In this report, we apply and expand the well-established Dedrick model of IA drug delivery to the brain and test the effects of modifying drug and delivery parameters. These simulations show that altering the properties of candidate drugs and physiological variables can have profound effects on regional deposition after IA injections. We show that drug and physiological optimization aimed at rapid drug extraction and sustained retention is necessary to maximize regional deposition after of IA injections.

摘要

动脉内(IA)药物输送已被提议用于治疗广泛的脑部疾病,包括恶性脑肿瘤。然而,IA 药物输送到大脑的药代动力学优化仍然是一个挑战。在本报告中,我们应用和扩展了已建立的 Dedrick 模型,以研究 IA 药物输送到大脑的效果,并测试了改变药物和输送参数的影响。这些模拟表明,改变候选药物的性质和生理变量可以对 IA 注射后的区域沉积产生深远影响。我们表明,药物和生理优化旨在实现快速药物提取和持续保留,对于最大化 IA 注射后的区域沉积是必要的。

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