The endocannabinoid anandamide has an anti-inflammatory effect on CCL2 expression in vascular smooth muscle cells
1 April 2020·,,,,,,,,,,,,
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0 min read
Beatrice Pflüger-Müller
James A. Oo
Jan Heering
Dr. Timothy Warwick
Ewgenij Proschak
Stefan Günther
Mario Looso
Flávia Rezende
Christian Fork
Gerd Geisslinger
Dominique Thomas
Robert Gurke
Dieter Steinhilber
Marcel H. Schulz, PhD
Matthias S. Leisegang
Ralf P. Brandes
Abstract
Endocannabinoids are important lipid-signaling mediators. Both protective and deleterious effects of endocannabinoids in the cardiovascular system have been reported but the mechanistic basis for these contradicting observations is unclear. We set out to identify anti-inflammatory mechanisms of endocannabinoids in the murine aorta and in human vascular smooth muscle cells (hVSMC). In response to combined stimulation with cytokines, IL-1β and TNFα, the murine aorta released several endocannabinoids, with anandamide (AEA) levels being the most significantly increased. AEA pretreatment had profound effects on cytokine-induced gene expression in hVSMC and murine aorta. As revealed by RNA-Seq analysis, the induction of a subset of 21 inflammatory target genes, including the important cytokine CCL2 was blocked by AEA. This effect was not mediated through AEA-dependent interference of the AP-1 or NF-κB pathways but rather through an epigenetic mechanism. In the presence of AEA, ATAC-Seq analysis and chromatin-immunoprecipitations revealed that CCL2 induction was blocked due to increased levels of H3K27me3 and a decrease of H3K27ac leading to compacted chromatin structure in the CCL2 promoter. These effects were mediated by recruitment of HDAC4 and the nuclear corepressor NCoR1 to the CCL2 promoter. This study therefore establishes a novel anti-inflammatory mechanism for the endogenous endocannabinoid AEA in vascular smooth muscle cells. Furthermore, this work provides a link between endogenous endocannabinoid signaling and epigenetic regulation.
Type
Publication
Basic Research in Cardiology
Authors
Dr. Timothy Warwick
(he/him)
Senior AI Research Scientist
Alex Johnson is a Senior AI Research Scientist at Meta AI. His research
has been published in top conferences like NeurIPS and ICML, with over
10,000 citations. Alex is passionate about pushing the boundaries of AI
while ensuring ethical development.

Authors
Marcel H. Schulz, PhD
(he/him)
Professor for Computational Biology
I am a Computational Biologist by education. I develop computational
systems biology models and machine learning algorithms that further
the understanding of gene regulation. We work on groundbreaking computational methods
that enable novel approaches for personalized medicine applications in the
context of different human diseases. We live and breathe open-source development.