The systems medicine view of semaglutide: from clinical trials to molecular mechanisms

Semaglutide, a glucagon-like peptide-1 receptor agonist (GLP-1RA), is a key therapy in managing type 2 diabetes (T2D), offering significant improvements in glycemic control, weight loss, and cardiovascular protection. Beyond these clinical benefits, multi-omics research is clarifying the molecular mechanisms underlying its systemic metabolic effects.

This review synthesizes findings from major clinical trials and recent proteomic and metabolomic studies to explain how semaglutide affects inflammatory, lipid, and extracellular matrix (ECM) pathways in multiple organs. Key molecular mediators, including adiponectin, fibroblast growth factor 21 (FGF21), apolipoprotein C-III (ApoC-III), ceramides, and ECM-remodeling proteins (MMPs, CTGF, α-SMA), are linked to improved insulin sensitivity, reduced adipose inflammation, and restored metabolic flexibility. The review also discusses the use of artificial intelligence (AI) and machine learning (ML) to connect omics biomarkers with clinical outcomes.

Semaglutide exemplifies a precision medicine approach for T2D by linking clinical efficacy to molecular adaptation. Longitudinal validation of omics biomarkers and their integration into AI-driven diagnostic platforms could enable personalized, mechanism-based therapy that goes beyond glucose control to deliver comprehensive cardiometabolic protection.