GLP-1R signaling neighborhoods associate with the susceptibility to adverse drug reactions of incretin mimetics.

GLP-1R signaling neighborhoods associate with the susceptibility to adverse drug reactions of incretin mimetics.
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DOI:
10.1038/s41467-023-41893-4
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发表时间:
2023-10-09
影响因子:
16.6
通讯作者:
Lauschke, Volker M.
Lauschke, Volker M.
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Wright, Shane C.;Motso, Aikaterini;Koutsilieri, Stefania;Beusch, Christian M.;Sabatier, Pierre;Berghella, Alessandro;Blondel-Tepaz, Elodie;Mangenot, Kimberley;Pittarokoilis, Ioannis;Sismanoglou, Despoina-Christina;Le Gouill, Christian;Olsen, Jesper V.;Zubarev, Roman A.;Lambert, Nevin A.;Hauser, Alexander S.;Bouvier, Michel;Lauschke, Volker M.

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G protein-coupled receptors are important drug targets that engage and activate signaling transducers in multiple cellular compartments. Delineating therapeutic signaling from signaling associated with adverse events is an important step towards rational drug design. The glucagon-like peptide-1 receptor (GLP-1R) is a validated target for the treatment of diabetes and obesity, but drugs that target this receptor are a frequent cause of adverse events. Using recently developed biosensors, we explored the ability of GLP-1R to activate 15 pathways in 4 cellular compartments and demonstrate that modifications aimed at improving the therapeutic potential of GLP-1R agonists greatly influence compound efficacy, potency, and safety in a pathway- and compartment-selective manner. These findings, together with comparative structure analysis, time-lapse microscopy, and phosphoproteomics, reveal unique signaling signatures for GLP-1R agonists at the level of receptor conformation, functional selectivity, and location bias, thus associating signaling neighborhoods with functionally distinct cellular outcomes and clinical consequences. Agonists of the glucagon-like peptide-1 receptor are used to treat diabetes and obesity. Here, Wright et al. investigate the subcellular location of the receptor’s signaling events and uncover associations between signaling profiles and adverse drug reactions.
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