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How to Measure Drug Transport across the Blood-Brain Barrier

机译:如何测量跨血脑屏障的药物运输

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摘要

>Summary: The extent to which a substance in the circulation gains access to the CNS needs to be determined for potential neuropharmaceuticals as well as for drug candidates with primary targets in the periphery. Characteristics of the in vivo methods, ranging from classical pharmacokinetic techniques (intravenous administration and tissue sampling) over brain perfusions to microdialysis and imaging techniques, are highlighted. In vivo measurements remain unmatched with respect to sensitivity and for the characterization of carrier-mediated uptake, receptor-mediated transport, and active efflux. Isolated microvessels are valuable tools for molecular characterization of transporters. Endothelial cell culture models of the blood-brain barrier (BBB) are pursued as in vitro systems suitable for screening procedures. Recent applications of conditionally immortalized cell lines indicate that a particular weakness of culture models because of downregulation of BBB-specific transporter systems can be overcome. In silico approaches are being developed with the goal of predicting brain uptake from molecular structure at early stages of drug development. Currently, the predictive capability is limited to passive, diffusional uptake and predominantly relies on few molecular descriptors related to lipophilicity, hydrogen bonding capacity, charge, and molecular weight. A caveat with most present strategies is their reliance on surrogates of BBB transport, like CNS activity/inactivity or brain-to-blood partitioning rather than actual BBB permeability data.
机译:>摘要:对于潜在的神经药物以及在外周具有主要靶点的候选药物,需要确定循环中某种物质进入CNS的程度。突出了体内方法的特征,从经典的药代动力学技术(静脉内给药和组织采样)到脑灌注,再到微透析和成像技术。就敏感性以及载体介导的摄取,受体介导的转运和主动外排的表征而言,体内测量仍无与伦比。隔离的微血管是转运蛋白分子表征的有价值的工具。血脑屏障(BBB)的内皮细胞培养模型被用作适合筛选程序的体外系统。有条件永生化细胞系的最新应用表明,由于BBB特异性转运蛋白系统的下调,培养模型的特殊弱点可以克服。目前正在开发计算机方法,其目的是在药物开发的早期阶段从分子结构预测大脑的摄取。当前,预测能力限于被动的,扩散的吸收,并且主要依赖于与亲脂性,氢键合能力,电荷和分子量有关的很少的分子描述符。目前大多数策略的一个警告是,它们依赖于BBB转运的替代物,例如CNS活性/无活性或脑血分配,而不是实际的BBB渗透性数据。

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