Engineering: Pharmacokinetics and Pharmaceutical Technology Area, Miguel Hernandez University, Spain.
INEB - Instituto de Engenharia Biomédica, Universidade do Porto, Rua Alfredo Allen 208, 4200-393 Porto, Portugal; i3S - Instituto de Investigação e Inovação em Saúde, Universidade do Porto, Rua Alfredo Allen 208, 4200-393 Porto, Portugal; CESPU - Instituto de Investigação e Formação Avançada em Ciências e Tecnologias da Saúde & Instituto Universitário de Ciências da Saúde, Rua Central de Gandra, 1317, 4585-116 Gandra, Portugal.
Eur J Pharm Biopharm. 2021 Jun;163:120-126. doi: 10.1016/j.ejpb.2021.04.002. Epub 2021 Apr 8.
The BBB is a protective entity that prevents external substances from reaching the CNS but it also hinders the delivery of drugs into the brain when they are needed. The main objective of this work was to improve a previously proposed in vitro cell-based model by using a more physiological cell line (hCMEC/D3) to predict the main pharmacokinetic parameters that describe the access and distribution of drugs in the CNS: Kp, f, f and V. The hCMEC/D3 permeability of seven drugs was studied in transwell systems under different conditions (standard, modified with albumin and modified with brain homogenate). From the permeability coefficients of those experiments, the parameters mentioned above were calculated and four linear IVIVCs were established. The best ones were those that relate the in vitro and in vivo V and f (r = 0.961 and r = 0.940) which represent the binding rate of a substance to the brain tissue, evidencing the importance of using brain homogenate to mimic brain tissue when an in vitro brain permeability assay is done. This methodology could be a high-throughput screening tool in drug development to select the CNS promising drugs in three different in vitro BBB models (hCMEC/D3, MDCK and MDCK-MDR1).
血脑屏障 (BBB) 是一种具有保护作用的实体,可防止外来物质进入中枢神经系统,但当需要将药物递送至脑部时,它也会阻碍药物进入大脑。本工作的主要目的是通过使用更接近生理的细胞系 (hCMEC/D3) 改进之前提出的体外基于细胞的模型,以预测描述药物进入和分布于中枢神经系统的主要药代动力学参数:Kp、f、f 和 V。在不同条件(标准、白蛋白修饰和脑匀浆修饰)下,在 Transwell 系统中研究了七种药物在 hCMEC/D3 中的渗透性。从这些实验的渗透系数中,计算了上述参数,并建立了四个线性 IVIVC。最好的是那些与体外和体内 V 和 f 相关的 IVIVC(r=0.961 和 r=0.940),它们代表了物质与脑组织的结合率,证明了当进行体外血脑屏障渗透性测定时,使用脑匀浆来模拟脑组织的重要性。该方法可以作为药物开发中的高通量筛选工具,在三种不同的体外 BBB 模型(hCMEC/D3、MDCK 和 MDCK-MDR1)中选择有前途的中枢神经系统药物。