Hypertensive encephalopathy is a potentially fatal condition associated with cerebral edema and the breakdown of the blood-brain barrier (BBB). The molecular pathways leading to this condition, however, are unknown. We determined the role of δPKC, which is thought to regulate microvascular permeability, in the development of hypertensive encephalopathy using δV1-1 — a selective peptide inhibitor of δPKC. As a model of hypertensive encephalopathy, Dahl salt-sensitive rats were fed an 8% high-salt diet from 6 weeks of age and then were infused s.c. with saline, control TAT peptide, or δV1-1 using osmotic minipumps. The mortality rate and the behavioral symptoms of hypertensive encephalopathy decreased significantly in the δV1-1–treated group relative to the control-treated group, and BBB permeability was reduced by more than 60%. Treatment with δV1-1 was also associated with decreased δPKC accumulation in capillary endothelial cells and in the endfeet of capillary astrocytes, which suggests decreased microvasculature disruption. Treatment with δV1-1 prevented hypertension-induced tight junction disruption associated with BBB breakdown, which suggests that δPKC may specifically act to dysregulate tight junction components. Together, these results suggest that δPKC plays a role in the development of hypertension-induced encephalopathy and may be a therapeutic target for the prevention of BBB disruption.
Xin Qi, Koichi Inagaki, Raymond A. Sobel, Daria Mochly-Rosen
Usage data is cumulative from February 2024 through February 2025.
Usage | JCI | PMC |
---|---|---|
Text version | 456 | 46 |
73 | 21 | |
Figure | 340 | 6 |
Supplemental data | 31 | 1 |
Citation downloads | 56 | 0 |
Totals | 956 | 74 |
Total Views | 1,030 |
Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.
Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.