Plain Language Summary
In silico study investigating genetic and molecular mechanisms of GLP-1R agonism using STRING, Pathway Commons, and BioGRID databases to identify functional gene and protein interaction networks downstream of GLP-1R activation relevant to T2DM treatment and weight loss. Maps molecular pathways connecting GLP-1R to metabolic, gastrointestinal, behavioral, and satiety effects. Provides a computational systems biology perspective on semaglutide's mechanism of action—integrating genomic and proteomic interaction data to reveal mechanistic connections not apparent from individual gene or protein studies.
Abstract
Glucagon-like peptide-1 receptor (GLP1R) agonists, such as semaglutide, are used for treating type 2 diabetes mellitus and promoting weight loss. This study investigates genetic and molecular mechanisms underlying GLP1R activation using a novel in silico approach to identify effects on metabolism, glucose and insulin production, gastrointestinal motility, behavior, and satiety. This approach used three separate searchable web-based programs and databases (STRING, Pathway Commons, and BioGRID) to identify and analyze functional gene and protein interactions with mechanisms to query GLP1R and related metabolic and appetite regulatory networks with disease associations. We examined integrated gene-gene and protein-protein interactions, pathways, molecular functions, associated diseases, and biological processes for GLP1R, that reportedly involved in diabetes and obesity. GLP1R signaling cascades were described with the activation of the adenylate cyclase-modulating G protein-coupled receptor and increased intracellular cyclic AMP, collectively impacting glucagon production, insulin, glycogenolysis, vasoactive intestinal peptide, and other peptides and hormones required for satiety. Additional factors found were obesity-related peptides (i.e., POMC), hormone signaling, renin secretion, electrolytes and diuresis, circadian rhythm, and insulin secretion. These associations and interactions shift from hypoglycemia to broader endocrine dysfunction. A relationship was noted for GNAS having a role in growth, electrolytes, and skeletal disturbances with specific hormone sensitivity patterns. Understanding established and new interactions with genetics and gene-protein variants that impact type 2 diabetes and obesity would provide further insight into therapeutic GLP1R agonists response and consequences. Potential long-term systemic effects should be monitored, studied, and recorded with treatment protocols adjusted accordingly.
Keywords
GLP1R agonistgene-gene or protein interactions, biological processes, functions, pathways and associated diseasesglucagonglucagon-like peptide-1 (GLP1) receptor (GLP1R) geneinsulinobesitytype 2 diabetes mellitusweight loss