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Engeneering the neurovascular unit: a novel sensorized microfluidic platform to study barrier function and maturation

Created on 31 Oct 2025

Authors

Montesi, L., Lattanzi, D., Picchi, M., Sartini, S., Mekler, T., Korin, N., Rauti, R.

Abstract

Central nervous system diseases pose a significant challenge for the development of effective drugs and therapies. A major limiting factor is the neurovascular unit (NVU), which is both anatomically complex and characterized by a highly selective barrier. Conventional 2D in-vitro models and in-vivo animal models do not adequately replicate its pathophysiology. Organ-on-a-Chip technology provides a powerful platform to model the NVU, enabling replication of its anatomical and functional features within a dynamic microenvironment that closely mimics the human brain. However, the requirement for specialized facilities and technical expertise limits accessibility, reducing broader translational applications. Additionally, conventional endpoint analyses constrain real-time monitoring of cellular behavior. Here, we present and validate a novel bi-modular microfluidic chip that offers an easy-to-use and scalable solution for studying cellular cross-talk, while enabling live imaging and real-time measurements. The model incorporates human endothelial cells and primary neurons that were investigated through immunofluorescence and live imaging. The design overcomes key fabrication challenges and integrates a simplified method for Trans-Epithelial/Endothelial Electrical Resistance (TEER) monitoring, allowing in situ real-time assessment of barrier integrity. Overall, this platform represents a robust and versatile tool for in-vitro studies of the NVU, facilitating comprehensive evaluation of its structural and functional dynamics. Our microfluidic NVU-on-chip represents a significant advancement in NVU modelling, providing a versatile platform for CNS drug screening, disease modelling, and personalized medicine applications.

Preprint server: bioRxiv
The authors list and abstract were imported from bioRxiv on 31 Oct 2025.

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