Identification and Development of an Irreversible Monoacylglycerol Lipase (MAGL) Positron Emission Tomography (PET) Radioligand with High Specificity.


Journal

Journal of medicinal chemistry
ISSN: 1520-4804
Titre abrégé: J Med Chem
Pays: United States
ID NLM: 9716531

Informations de publication

Date de publication:
26 09 2019
Historique:
pubmed: 5 9 2019
medline: 23 6 2020
entrez: 5 9 2019
Statut: ppublish

Résumé

Monoacylglycerol lipase (MAGL), a serine hydrolase extensively expressed throughout the brain, serves as a key gatekeeper regulating the tone of endocannabinoid signaling. Preclinically, inhibition of MAGL is known to provide therapeutic benefits for a number of neurological disorders. The availability of a MAGL-specific positron emission tomography (PET) ligand would considerably facilitate the development and clinical characterization of MAGL inhibitors via noninvasive and quantitative PET imaging. Herein, we report the identification of the potent and selective irreversible MAGL inhibitor

Identifiants

pubmed: 31483137
doi: 10.1021/acs.jmedchem.9b00847
doi:

Substances chimiques

Carbamates 0
Endocannabinoids 0
Enzyme Inhibitors 0
Ligands 0
Solvents 0
Monoacylglycerol Lipases EC 3.1.1.23

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

8532-8543

Auteurs

Akihiro Takano (A)

Department of Clinical Neuroscience, Center for Psychiatry Research , Karolinska Institutet and Stockholm County Council , SE-17176 Stockholm , Sweden.

Sangram Nag (S)

Department of Clinical Neuroscience, Center for Psychiatry Research , Karolinska Institutet and Stockholm County Council , SE-17176 Stockholm , Sweden.

Zhisheng Jia (Z)

Department of Clinical Neuroscience, Center for Psychiatry Research , Karolinska Institutet and Stockholm County Council , SE-17176 Stockholm , Sweden.

Ryosuke Arakawa (R)

Department of Clinical Neuroscience, Center for Psychiatry Research , Karolinska Institutet and Stockholm County Council , SE-17176 Stockholm , Sweden.

Christer Halldin (C)

Department of Clinical Neuroscience, Center for Psychiatry Research , Karolinska Institutet and Stockholm County Council , SE-17176 Stockholm , Sweden.

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Classifications MeSH