Evaluation of in vitro blood-brain barrier models in central nervous system new drug development: methodological challenges and translational perspectives.
Chang-Uk Lee, Dan Bi Park, Eunyoung Lee, Seung Joon Kim, Yu-Jeong Seong, Yongki Hwang, Hyobin Won, Soo Bin Choi, Bosung Ku, Dong Woo Lee, Sang-Yun Lee
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引用次数: 0
Abstract
Introduction: Central nervous system (CNS) drug development remains challenging because effective delivery across the blood-brain barrier (BBB) is difficult to predict preclinically. In vitro BBB models are increasingly used to evaluate barrier properties and drug transport, but platform variability and limited standardization hinder consistent interpretation and translational use.
Areas covered: This review summarizes major cell-based in vitro BBB models for CNS drug development, focusing on static, dynamic, microfluidic, induced pluripotent stem cell-derived, and three-dimensional (3D) BBB platforms. Emphasis is placed on model applicability for permeability assessment, transporter activity, exposure kinetics, spatial distribution, and translational prediction. Relevant literature was searched using PubMed, Web of Science, and Google Scholar up to 2025.
Expert opinion: Although in vitro BBB models have advanced substantially, no single system fully reproduces the complexity of the in vivo BBB. The major limitation is persistent inconsistency across models, which complicates interpretation and limits confidence in their translational application. Static models are practical but provide only partial representation of BBB function, whereas stem cell-based and microfluidic platforms offer greater physiological relevance but face reproducibility and scalability challenges. Future progress should prioritize context-of-use-driven model selection, tiered validation, and harmonized reporting to support reliable decision-making in CNS drug development.
中枢神经系统(CNS)药物开发仍然具有挑战性,因为临床前很难预测通过血脑屏障(BBB)的有效递送。体外血脑屏障模型越来越多地用于评估屏障特性和药物转运,但平台的可变性和有限的标准化阻碍了一致的解释和翻译使用。涵盖领域:本文综述了用于中枢神经系统药物开发的主要基于细胞的体外血脑屏障模型,重点是静态、动态、微流控、诱导多能干细胞衍生和三维(3D)血脑屏障平台。重点放在渗透性评估、转运体活性、暴露动力学、空间分布和平移预测的模型适用性上。使用PubMed、Web of Science和谷歌Scholar检索到2025年的相关文献。专家意见:尽管体外血脑屏障模型已经取得了长足的进步,但没有一个单一的系统能完全再现体内血脑屏障的复杂性。主要的限制是模型之间持续的不一致,这使解释变得复杂,并限制了对其转换应用程序的信心。静态模型是实用的,但只能提供血脑屏障功能的部分表征,而基于干细胞和微流体的平台提供了更大的生理相关性,但面临可重复性和可扩展性的挑战。未来的进展应优先考虑使用情境驱动的模型选择、分层验证和统一报告,以支持中枢神经系统药物开发的可靠决策。