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Synergistic induction of blood-brain barrier properties

GSE224846 Homo sapiens Expression profiling by high throughput sequencing 8 samples Submitted 2024/04/18 Platform GPL18573
Summary
Blood–brain barrier (BBB) models derived from human stem cells are powerful tools to improve our understanding of cerebrovascular diseases and to facilitate drug development for the human brain. Yet providing stem cell–derived endothelial cells with the right signaling cues to acquire BBB characteristics while also retaining their vascular identity remains challenging. Here, we show that the simultaneous activation of cyclic AMP and Wnt/β-catenin signaling and inhibition of the TGF-β pathway in endothelial cells robustly induce BBB properties in vitro. To target this interaction, we present a small-molecule cocktail named cARLA, which synergistically enhances barrier tightness in a range of BBB models across species. Mechanistically, we reveal that the three pathways converge on Wnt/β-catenin signaling to mediate the effect of cARLA via the tight junction protein claudin-5. We demonstrate that cARLA shifts the gene expressional profile of human stem cell–derived endothelial cells toward the in vivo brain endothelial signature, with a higher glycocalyx density and efflux pump activity, lower rates of endocytosis, and a characteristic endothelial response to proinflammatory cytokines. Finally, we illustrate how cARLA can improve the predictive value of human BBB models regarding the brain penetration of drugs and targeted nanoparticles. Due to its synergistic effect, high reproducibility, and ease of use, cARLA has the potential to advance drug development for the human brain by improving BBB models across laboratories.
Published in
Synergistic induction of blood-brain barrier properties
Porkoláb G, Mészáros M, Szecskó A et al. · Proceedings of the National Academy of Sciences of the United States of America 2024 · PMID 38748577 · doi:10.1073/pnas.2316006121
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Also filed as BioProject PRJNA932784 and SRA study SRP421513. Searching any of these in the dataset finder brings you back here.

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