Back

Endothelial tight junctions and cell-matrix adhesions reciprocally control blood-brain barrier integrity

Porkolab, G.; Lemaitre, L.; Magyarodi, B.; Rajmon, I.; Novak, T.; H. Kovacs, B.; Grof, I.; Szecsko, A.; Kovacs, K. D.; Farkas, E.; Kovacs, B.; Szekacs, I.; Vegh, A. G.; Hashimoto, Y.; Greene, C.; McGlinchey, A.; Culot, M.; Henshall, D. C.; Sweeney, K. J.; O'Brien, D. F.; Veszelka, S.; Erdelyi, M.; Campbell, M.; Horvath, R.; Deli, M. A.

2025-09-11 neuroscience
10.1101/2025.09.06.673321 bioRxiv
Show abstract

Brain endothelial cells (ECs) rely on mechanical cues to provide a physical barrier that protects the brain. Yet how ECs integrate forces to establish and maintain the blood-brain barrier (BBB) remains poorly understood. Here, we show that the two main endothelial force-bearing systems, tight junctions and cell-matrix adhesions, reciprocally control BBB integrity. Using a combination of super-resolution imaging and biophysical techniques, we reveal increasing mechanical loads on cell-cell junctions vs. cell-matrix adhesions in human stem cell-derived ECs during BBB maturation. This force redistribution is enabled by cytoskeletal remodeling, a compacted pattern of the tight junction protein claudin-5, and the emergence of specialised perinuclear cell-matrix adhesions. Mechanistically, we find an inverse relationship between claudin-5 levels and the expression of key cell-matrix adhesion proteins zyxin and vinculin in vitro and in mice. Finally, we demonstrate that this mechanobiological signature associated with BBB maturation is reversed upon BBB dysfunction after seizures in mice and in human patients with temporal lobe epilepsy. Collectively, our findings establish a novel interplay between mechanoresponsive elements in brain ECs, with implications for BBB stabilisation therapy in epilepsy.

Matching journals

The top 3 journals account for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.