Katt Moriah E, Shusta Eric V
Department of Chemical and Biological Engineering, University of Wisconsin-Madison, Madison, WI, United States.
Department of Neurological Surgery, University of Wisconsin-Madison, Madison, WI, United States.
Curr Opin Chem Eng. 2020 Dec;30:42-52. doi: 10.1016/j.coche.2020.07.002. Epub 2020 Aug 18.
Development of brain therapeutics is significantly hampered by the presence of the blood-brain barrier (BBB). Classical transwell models are able to recapitulate many important aspects of drug transport across the BBB, but are not completely predictive of brain uptake. Species differences further complicate translation of experimental therapeutics from the benchtop to the clinic. Human BBB models offer some solutions to this problem, and by increasing device complexity both in terms of multicellularity, flow and physical architecture, physiological models of the BBB have been developed that can more faithfully model different aspects of transport and homeostasis BBB. Using these models, it may be possible to improve the predictive capacity in benchmarking candidate therapeutics, and to identify new druggable targets by studying multicellular interactions.
血脑屏障(BBB)的存在严重阻碍了脑治疗药物的开发。经典的Transwell模型能够概括药物跨血脑屏障转运的许多重要方面,但并不能完全预测药物在脑内的摄取情况。物种差异进一步使实验性治疗药物从实验室到临床的转化变得复杂。人血脑屏障模型为这一问题提供了一些解决方案,通过在多细胞性、流动和物理结构方面增加设备的复杂性,已经开发出血脑屏障的生理模型,该模型可以更忠实地模拟血脑屏障转运和内稳态的不同方面。利用这些模型,有可能提高在评估候选治疗药物时的预测能力,并通过研究多细胞相互作用来识别新的可成药靶点。