Literature DB >> 31394959

Modeling hyperosmotic blood-brain barrier opening within human tissue-engineered in vitro brain microvessels.

Raleigh M Linville1,2, Jackson G DeStefano1,3, Matt B Sklar1, Chengyan Chu4, Piotr Walczak4, Peter C Searson1,2,3.   

Abstract

As the majority of therapeutic agents do not cross the blood-brain barrier (BBB), transient BBB opening (BBBO) is one strategy to enable delivery into the brain for effective treatment of CNS disease. Intra-arterial infusion of the hyperosmotic agent mannitol reversibly opens the BBB; however, widespread clinical use has been limited due to the variability in outcomes. The current model for mannitol-induced BBBO assumes a transient but homogeneous increase in permeability; however, the details are poorly understood. To elucidate the mechanism of hyperosmotic opening at the cellular level, we developed a tissue-engineered microvessel model using stem cell-derived human brain microvascular endothelial cells (BMECs) perturbed with clinically relevant mannitol doses. This model recapitulates physiological shear stress, barrier function, microvessel geometry, and cell-matrix interactions. Using live-cell imaging, we show that mannitol results in dose-dependent and spatially heterogeneous increases in paracellular permeability through the formation of transient focal leaks. Additionally, we find that the degree of BBB opening and subsequent recovery is modulated by treatment with basic fibroblast growth factor. These results show that tissue-engineered BBB models can provide insight into the mechanisms of BBBO and hence improve the reproducibility of hyperosmotic therapies for treatment of CNS disease.

Entities:  

Keywords:  Blood–brain barrier; hyperosmotic blood–brain barrier opening; mannitol; microvessels; three-dimensional in vitro models

Mesh:

Substances:

Year:  2019        PMID: 31394959      PMCID: PMC7308510          DOI: 10.1177/0271678X19867980

Source DB:  PubMed          Journal:  J Cereb Blood Flow Metab        ISSN: 0271-678X            Impact factor:   6.960


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