GLPwatch

The GLP-1R as a model for understanding and exploiting biased agonism in next-generation medicines.

J Endocrinol · 2024

Last updated 2026-05-28

The GLP-1 receptor (GLP-1R) is a key target for drugs like exenatide, liraglutide, and semaglutide, used to treat diabetes and obesity. Recent research shows that tirzepatide, a dual GLP-1 and GIP receptor drug, works differently by activating one signaling pathway more than another, which may explain its effects on blood sugar and weight in lab studies. This review explores how these subtle differences in how drugs interact with the GLP-1R could lead to better treatments in the future.

AI summary of the abstract below.

JournalJ Endocrinol, 2024
Citations15
Relative citation ratio2.72
NIH percentile82
Molecules

Abstract

The glucagon-like peptide 1 receptor (GLP-1R) is a class B G protein-coupled receptor (GPCR) that emerged as a pharmacologic target in cardiometabolic disease, including diabetes and obesity, over 30 years ago. The subsequent widespread clinical use of GLP-1R agonists, including exenatide, liraglutide, and semaglutide, has made the GLP-1R a preeminent model for understanding basic GPCR biology, including the emergent field of biased agonism. Recent data demonstrate that the dual GLP-1R/glucose dependent insulinotropic polypeptide receptor (GIPR) agonist tirzepatide exhibits a biased signaling profile characterized by preferential Gαs activation over β-arrestin recruitment, which appears to contribute to its insulinotropic and body-weight reducing effects in preclinical models. This constitutes a major finding in which nuanced, mechanistic receptor signaling dynamics in vitro mediate real-world clinical differentiation within a drug class. Because of the striking bench-top-to-bed side relevance of this biased signaling phenomenon, we have undertaken a review of the emerging data detailing biased agonism at the GLP-1R. In this review, we introduce the core concept of biased agonism followed by a detailed consideration of the key mechanisms, including ligand-mediated bias, receptor-mediated bias, and systems/cell-type bias. Current industry programs are largely, if not entirely, focused on developing biased ligands, and so we have dedicated a section of the review to a brief meta-analysis of compounds reported to drive biased signaling, with a consideration of the structural determinants of receptor-ligand interactions. In this work, we aim to assess the current knowledge regarding signaling bias at the GLP-1R and how these ideas might be leveraged in future optimization.

Verbatim abstract via PubMed 38451873 ↗