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Usage Information

Endothelial cell–glucocorticoid receptor interactions and regulation of Wnt signaling
Han Zhou, Sameet Mehta, Swayam Prakash Srivastava, Kariona Grabinska, Xinbo Zhang, Chris Wong, Ahmad Hedayat, Paola Perrotta, Carlos Fernández-Hernando, William C. Sessa, Julie E. Goodwin
Han Zhou, Sameet Mehta, Swayam Prakash Srivastava, Kariona Grabinska, Xinbo Zhang, Chris Wong, Ahmad Hedayat, Paola Perrotta, Carlos Fernández-Hernando, William C. Sessa, Julie E. Goodwin
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Research Article Inflammation Vascular biology

Endothelial cell–glucocorticoid receptor interactions and regulation of Wnt signaling

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Abstract

Vascular inflammation is present in many cardiovascular diseases, and exogenous glucocorticoids have traditionally been used as a therapy to suppress inflammation. However, recent data have shown that endogenous glucocorticoids, acting through the endothelial glucocorticoid receptor, act as negative regulators of inflammation. Here, we performed ChIP for the glucocorticoid receptor, followed by next-generation sequencing in mouse endothelial cells to investigate how the endothelial glucocorticoid receptor regulates vascular inflammation. We identified a role of the Wnt signaling pathway in this setting and show that loss of the endothelial glucocorticoid receptor results in upregulation of Wnt signaling both in vitro and in vivo using our validated mouse model. Furthermore, we demonstrate glucocorticoid receptor regulation of a key gene in the Wnt pathway, Frzb, via a glucocorticoid response element gleaned from our genomic data. These results suggest a role for endothelial Wnt signaling modulation in states of vascular inflammation.

Authors

Han Zhou, Sameet Mehta, Swayam Prakash Srivastava, Kariona Grabinska, Xinbo Zhang, Chris Wong, Ahmad Hedayat, Paola Perrotta, Carlos Fernández-Hernando, William C. Sessa, Julie E. Goodwin

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Usage data is cumulative from September 2025 through September 2026.

Usage JCI PMC
Text version 2,219 136
PDF 324 31
Figure 978 1
Supplemental data 158 3
Citation downloads 376 0
Totals 4,055 171
Total Views 4,226
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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.

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