Document Type
Article
Version Deposited
Published Version
Publication Date
11-24-2022
Publication Title
Fluids and Barriers of the CNS
DOI
10.1186/s12987-022-00389-x
Abstract
Cerebral aneurysms are more likely to form at bifurcations in the vasculature, where disturbed fluid is prevalent due to flow separation at sufficiently high Reynolds numbers. While previous studies have demonstrated that altered shear stress exerted by disturbed flow disrupts endothelial tight junctions, less is known about how these flow regimes alter gene expression in endothelial cells lining the blood-brain barrier. Specifically, the effect of disturbed flow on expression of genes associated with cell-cell and cell-matrix interaction, which likely mediate aneurysm formation, remains unclear. RNA sequencing of immortalized cerebral endothelial cells isolated from the lumen of a 3D blood-brain barrier model reveals distinct transcriptional changes in vessels exposed to fully developed and disturbed flow profiles applied by both steady and physiological waveforms. Differential gene expression, validated by qRT-PCR and western blotting, reveals that lumican, a small leucine-rich proteoglycan, is the most significantly downregulated gene in endothelial cells exposed to steady, disturbed flow. Knocking down lumican expression reduces barrier function in the presence of steady, fully developed flow. Moreover, adding purified lumican into the hydrogel of the 3D blood-brain barrier model recovers barrier function in the region exposed to fully developed flow. Overall, these findings emphasize the importance of flow regimes exhibiting spatial and temporal heterogeneous shear stress profiles on cell-matrix interaction in endothelial cells lining the blood-brain barrier, while also identifying lumican as a contributor to the formation and maintenance of an intact barrier.
Recommended Citation
Bouhrira, N., DeOre, B.J., Tran, K.A. et al. Transcriptomic analysis of a 3D blood–brain barrier model exposed to disturbed fluid flow. Fluids Barriers CNS 19, 94 (2022). https://doi.org/10.1186/s12987-022-00389-x
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Comments
Open Access This article is licensed under a Creative Commons Attribution 4.0 International License.