| Literature DB >> 33045662 |
Carlotta Granchi1, Giulia Bononi1, Rebecca Ferrisi1, Eleonora Gori1, Giulia Mantini2, Sandra Glasmacher3, Giulio Poli1, Stefano Palazzolo4, Isabella Caligiuri4, Flavio Rizzolio5, Vincenzo Canzonieri6, Tiziana Perin4, Jürg Gertsch3, Andrea Sodi7, Elisa Giovannetti2, Marco Macchia1, Filippo Minutolo1, Tiziano Tuccinardi8, Andrea Chicca3.
Abstract
An interesting enzyme of the endocannabinoid system is monoacylglycerol lipase (MAGL). This enzyme, which metabolizes the endocannabinoid 2-arachidonoylglycerol (2-AG), has attracted great interest due to its involvement in several physiological and pathological processes, such as cancer progression. Experimental evidences highlighted some drawbacks associated with the use of irreversible MAGL inhibitors in vivo, therefore the research field concerning reversible inhibitors is rapidly growing. In the present manuscript, the class of benzoylpiperidine-based MAGL inhibitors was further expanded and optimized. Enzymatic assays identified some compounds in the low nanomolar range and steered molecular dynamics simulations predicted the dissociation itinerary of one of the best compounds from the enzyme, confirming the observed structure-activity relationship. Biological evaluation, including assays in intact U937 cells and competitive activity-based protein profiling experiments in mouse brain membranes, confirmed the selectivity of the selected compounds for MAGL versus other components of the endocannabinoid system. An antiproliferative ability in a panel of cancer cell lines highlighted their potential as potential anticancer agents. Future studies on the potential use of these compounds in the clinical setting are also supported by the inhibition of cell growth observed both in cancer organoids derived from high grade serous ovarian cancer patients and in pancreatic ductal adenocarcinoma primary cells, which showed genetic and histological features very similar to the primary tumors.Entities:
Keywords: Benzoylpiperidine derivatives; MAGL; Monoacylglycerol lipase inhibitors
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Year: 2020 PMID: 33045662 DOI: 10.1016/j.ejmech.2020.112857
Source DB: PubMed Journal: Eur J Med Chem ISSN: 0223-5234 Impact factor: 6.514