کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
1391308 983241 2012 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Highly Selective Inhibitors of Monoacylglycerol Lipase Bearing a Reactive Group that Is Bioisosteric with Endocannabinoid Substrates
موضوعات مرتبط
مهندسی و علوم پایه شیمی شیمی آلی
پیش نمایش صفحه اول مقاله
Highly Selective Inhibitors of Monoacylglycerol Lipase Bearing a Reactive Group that Is Bioisosteric with Endocannabinoid Substrates
چکیده انگلیسی

SummaryThe endocannabinoids 2-arachidonoyl glycerol (2-AG) and N-arachidonoyl ethanolamine (anandamide) are principally degraded by monoacylglycerol lipase (MAGL) and fatty acid amide hydrolase (FAAH), respectively. The recent discovery of O-aryl carbamates such as JZL184 as selective MAGL inhibitors has enabled functional investigation of 2-AG signaling pathways in vivo. Nonetheless, JZL184 and other reported MAGL inhibitors still display low-level cross-reactivity with FAAH and peripheral carboxylesterases, which can complicate their use in certain biological studies. Here, we report a distinct class of O-hexafluoroisopropyl (HFIP) carbamates that inhibits MAGL in vitro and in vivo with excellent potency and greatly improved selectivity, including showing no detectable cross-reactivity with FAAH. These findings designate HFIP carbamates as a versatile chemotype for inhibiting MAGL and should encourage the pursuit of other serine hydrolase inhibitors that bear reactive groups resembling the structures of natural substrates.

Graphical AbstractFigure optionsDownload high-quality image (160 K)Download as PowerPoint slideHighlights
► Hexafluoroisopropyl (HFIP) carbamates are potent and selective MAGL inhibitors
► HFIP carbamates appear to inhibit MAGL in part by substrate mimicry
► HFIP carbamates show minimal cross-reactivity with other serine hydrolases
► HFIP carbamates are active against several mammalian isoforms of MAGL

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: - Volume 19, Issue 5, 25 May 2012, Pages 579–588
نویسندگان
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