The endocannabinoid anandamide has an anti-inflammatory effect on CCL2 expression in vascular smooth muscle cells

1 April 2020·
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
Marcel H. Schulz, PhD
,
Matthias S. Leisegang
,
Ralf P. Brandes
· 0 min read
DOI
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
publications
Authors
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.
Marcel H. Schulz, PhD
Authors
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.