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血浆蛋白结合药物脑内传递的基于生理学的药代动力学模型。

Physiologically Based Pharmacokinetic Model of Brain Delivery of Plasma Protein Bound Drugs.

机构信息

UCLA, Los Angeles, CA, 90095, USA.

出版信息

Pharm Res. 2023 Mar;40(3):661-674. doi: 10.1007/s11095-023-03484-2. Epub 2023 Feb 24.

Abstract

INTRODUCTION

A physiologically based pharmacokinetic (PBPK) model is developed that focuses on the kinetic parameters of drug association and dissociation with albumin, alpha-1 acid glycoprotein (AGP), and brain tissue proteins, as well as drug permeability at the blood-brain barrier, drug metabolism, and brain blood flow.

GOAL

The model evaluates the extent to which plasma protein-mediated uptake (PMU) of drugs by brain influences the concentration of free drug both within the brain capillary compartment in vivo and the brain compartment. The model also studies the effect of drug binding to brain tissue proteins on the concentration of free drug in brain.

METHODS

The steady state and non-steady state PBPK models are comprised of 11-12 variables, and 18-23 parameters, respectively. Two model drugs are analyzed: propranolol, which undergoes modest PMU from the AGP-bound pool, and imipramine, which undergoes a high degree of PMU from both the albumin-bound and AGP-bound pools in plasma.

RESULTS

The free propranolol concentration in brain is under-estimated 2- to fourfold by in vitro measurements of free plasma propranolol, and the free imipramine concentration in brain is under-estimated by 18- to 31-fold by in vitro measurements of free imipramine in plasma. The free drug concentration in brain in vivo is independent of drug binding to brain tissue proteins.

CONCLUSIONS

In vitro measurement of free drug concentration in plasma under-estimates the free drug in brain in vivo if PMU in vivo from either the albumin and/or the AGP pools in plasma takes place at the BBB surface.

摘要

简介

建立了一个生理相关药代动力学(PBPK)模型,该模型重点关注药物与白蛋白、α-1酸性糖蛋白(AGP)和脑组织蛋白的结合和解离动力学参数,以及血脑屏障的药物渗透性、药物代谢和脑血流量。

目的

该模型评估了药物通过血脑屏障与血浆蛋白结合(PMU)进入脑内对脑内游离药物浓度的影响程度,包括体内脑毛细血管腔内和脑内的游离药物浓度。该模型还研究了药物与脑组织蛋白结合对脑内游离药物浓度的影响。

方法

稳态和非稳态 PBPK 模型分别包含 11-12 个变量和 18-23 个参数。分析了两种模型药物:普萘洛尔,它从 AGP 结合池中经历适度的 PMU;以及丙咪嗪,它从白蛋白结合池和 AGP 结合池中经历高度的 PMU。

结果

与体外测量的游离血浆普萘洛尔相比,体内测量的游离脑内普萘洛尔浓度低估了 2 到 4 倍;与体外测量的游离血浆丙咪嗪相比,体内测量的游离脑内丙咪嗪浓度低估了 18 到 31 倍。体内脑内游离药物浓度与药物结合到脑组织蛋白无关。

结论

如果体内 PMU 发生在血脑屏障表面,那么从白蛋白和/或 AGP 池中发生的 PMU 会导致体内测量的游离药物浓度在体外低估了体内脑内的游离药物浓度。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f025/10036418/f71c233eb50d/11095_2023_3484_Fig1_HTML.jpg

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