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采用临床正电子发射断层扫描示踪剂对体外基于细胞的人血脑屏障模型进行验证,以预测体内人脑穿透性。

Validation of in vitro cell-based human blood-brain barrier model using clinical positron emission tomography radioligands to predict in vivo human brain penetration.

机构信息

CEA, DSV, iBiTec-S, Service de Pharmacologie et d'Immunoanalyse, Gif-sur-Yvette, France.

出版信息

Mol Pharm. 2010 Oct 4;7(5):1805-15. doi: 10.1021/mp1002366. Epub 2010 Sep 15.

Abstract

We have evaluated a novel in vitro cell-based human blood-brain barrier (BBB) model that could predict in vivo human brain penetration for compounds with different BBB permeabilities using the clinical positron emission tomography (PET) data. Comparison studies were also performed to demonstrate that the in vitro cell-based human BBB model resulted in better predictivity over the traditional permeability model in discovery organizations, Caco-2 cells. We evaluated the in vivo BBB permeability of [(18)F] and [(11)C]-compounds in humans by PET imaging. The in vivo plasma-brain exchange parameters used for comparison were determined in humans by PET using a kinetic analysis of the radiotracer binding. For each radiotracer, the parameters were determined by fitting the brain kinetics of the radiotracer using a two-tissue compartment model of the ligand-receptor interaction. Bidirectional transport studies with the same compounds as in in vivo studies were carried out using the in vitro cell-based human BBB model as well as Caco-2 cells. The in vitro cell-based human BBB model has important features of the BBB in vivo and is suitable for discriminating between CNS and non-CNS marketed drugs. A very good correlation (r(2) = 0.90; P < 0.001) was demonstrated between in vitro BBB permeability and in vivo permeability coefficient. In contrast, a poor correlation (r(2) = 0.17) was obtained between Caco-2 data and in vivo human brain penetration. This study highlights the potential of this in vitro cell-based human BBB model in drug discovery and shows that it can be an extremely effective screening tool for CNS programs.

摘要

我们评估了一种新型的基于细胞的体外人血脑屏障(BBB)模型,该模型可以使用临床正电子发射断层扫描(PET)数据预测不同 BBB 通透性的化合物在体内的人脑渗透。还进行了比较研究,以证明与传统的通透性模型相比,体外基于细胞的人 BBB 模型在发现机构、Caco-2 细胞中具有更好的预测性。我们通过 PET 成像评估了 [(18)F]和 [(11)C]-化合物在人体内的体内 BBB 通透性。用于比较的体内血浆脑交换参数是通过在人体中使用放射性示踪剂结合的动力学分析来使用 PET 确定的。对于每种示踪剂,通过使用配体受体相互作用的两组织隔室模型拟合放射性示踪剂的脑动力学来确定参数。使用相同化合物进行的双向转运研究在体外基于细胞的人 BBB 模型和 Caco-2 细胞中进行。体外基于细胞的人 BBB 模型具有体内 BBB 的重要特征,适合区分中枢神经系统和非中枢神经系统上市药物。在体外 BBB 通透性和体内渗透系数之间表现出非常好的相关性(r(2) = 0.90;P < 0.001)。相比之下,在 Caco-2 数据和体内人脑渗透之间获得了较差的相关性(r(2) = 0.17)。这项研究强调了这种体外基于细胞的人 BBB 模型在药物发现中的潜力,并表明它可以成为中枢神经系统计划的极其有效的筛选工具。

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