.png){kind=icon}
.png){kind=icon}
Return
Evaluation of in vitro blood-brain barrier models in central nervous system new drug development: methodological challenges and translational perspectives
.png){kind=icon}
PRE
AI
C
D
E
S
Y
Y
H
S
B
D
S
DOI：10.1080/17425247.2026.2676068.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
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.
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.
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.
Keywords:
Blood-brain barrier
central nervous system drug delivery
In vitro blood-brain barrier models
translational relevance
new drug development
Journal
IF:
5.4
Papers:
2.3K
Citations:
1.0W
Organization
Cited Papers