使用艾拉克拉P-糖蛋白和BCRP抑制剂提高脑渗透率

Xinyue Yao
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摘要

中枢神经系统(CNS)是精神分裂症、阿兹海默病和帕金森病等多种疾病的发病部位。由于外流转运体形成了血脑屏障(BBB),许多针对这些疾病的药物仍然面临挑战。为了应对这些挑战,艾拉克瑞达有望抑制此类转运体,如P-糖蛋白(P-gp)和乳腺癌抗性蛋白(BCRP),从而改善脑部渗透。然而,作为一种早期的临床候选药物,艾乐司在人体内的药代动力学(PK)特性仍有许多未知之处。本文旨在更好地了解艾拉瑞达的药代动力学特征,并预测其应用于临床的最佳剂量和剂量间隔。首先,利用基本 PK 方程建立了一系列基本 PK 模型,并将这些模型与依拉克瑞达的临床数据进行拟合,以获得依拉克瑞达的特定 PK 参数。接着,利用艾乐司达的临床前 PK 和体外抑制试验来确定治疗窗口期。我们最终建立的多剂量血管外 PK 模型显示,最方便有效的剂量方案是 900 毫克 BID(双剂量,每天两次)。有了这个艾乐司达 PK 模型,研究人员就可以利用艾乐司达的人体 PK 来改善临床疗效。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Improving brain penetration using elacridara P-glycoprotein and BCRP inhibitor
The central nervous system (CNS) is a site for a myriad of disorders and diseases, such as schizophrenia, Alzheimers disease, and Parkinsons disease. Many medications targeting these illnesses remain challenged due to efflux transporters forming a blood-brain barrier (BBB). To combat such challenges, elacridar shown promise at inhibiting such transporters, such as P-glycoprotein (P-gp) and breast cancer resistance protein (BCRP), therefore improving brain penetration. However, as an early clinical candidate, many remain unknown about elacridars pharmacokinetic (PK) properties in the human body. This paper aims to obtain a better understanding of elacridars pharmacokinetic profile and predict the optimal dose and dose interval for its application in the clinic. To begin with, a series of basic PK models were created using fundamental PK equations and the models were fit to elacridar clinical data to obtain elacridar-specific PK parameters. Next, elacridar preclinical PK as well as in vitro inhibition assay were used to determine the therapeutic window. Our final, multiple-dose extravascular PK model reveals that the most convenient and effective dose regimen is 900 mg BID (bis in die; twice per day). With this elacridar PK model, researchers can leverage elacridar human PK to improve clinical outcomes.
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