4.7 Article

Effects of site-directed mutagenesis of GLP-1 and glucagon receptors on signal transduction activated by dual and triple agonists

Journal

ACTA PHARMACOLOGICA SINICA
Volume 44, Issue 2, Pages 421-433

Publisher

NATURE PUBL GROUP
DOI: 10.1038/s41401-022-00962-y

Keywords

glucagon-like peptide-1 receptor; glucagon receptor; dual and triple agonist; cAMP; pERK1/2; unimolecular polypharmacology

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The paradigm of one drug against multiple targets, known as unimolecular polypharmacology, has shown promising results in the treatment of type 2 diabetes and obesity by targeting two or three specific receptors. By studying agonist efficacy and signaling patterns, this study reveals the crucial residue networks involved in agonist-mediated receptor activation, providing insights for the rational design of biased drug leads.
The paradigm of one drug against multiple targets, known as unimolecular polypharmacology, offers the potential to improve efficacy while overcoming some adverse events associated with the treatment. This approach is best exemplified by targeting two or three class B1 G protein-coupled receptors, namely, glucagon-like peptide-1 receptor (GLP-1R), glucagon receptor (GCGR) and glucose-dependent insulinotropic polypeptide receptor for treatment of type 2 diabetes and obesity. Some of the dual and triple agonists have already shown initial successes in clinical trials, although the molecular mechanisms underlying their multiplexed pharmacology remain elusive. In this study we employed structure-based site-directed mutagenesis together with pharmacological assays to compare agonist efficacy across two key signaling pathways, cAMP accumulation and ERK1/2 phosphorylation (pERK1/2). Three dual agonists (peptide 15, MEDI0382 and SAR425899) and one triple agonist (peptide 20) were evaluated at GLP-1R and GCGR, relative to the native peptidic ligands (GLP-1 and glucagon). Our results reveal the existence of residue networks crucial for unimolecular agonist-mediated receptor activation and their distinct signaling patterns, which might be useful to the rational design of biased drug leads.

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