GLP-1RA precision medicine in people with type 2 diabetes: current insights and future prospects

Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have become an essential drug class for treating type 2 diabetes, offering proven benefits in glycemic control, weight reduction, and cardiovascular and renal protection. However, growing evidence of heterogeneity in GLP-1RA treatment effects highlights the potential for developing precision medicine approaches to more accurately allocate GLP-1RAs to maximize patient benefit. In this Review, we explore the evidence for treatment effect heterogeneity with GLP-1RAs, focusing on clinical and genetic factors that robustly influence established therapeutic outcomes. We also highlight the potential of recent predictive models that integrate routine clinical data with personalize treatment decisions, comparing GLP-1RA to other major type 2 diabetes drug classes. While such models have shown considerable promise in identifying optimal type 2 diabetes treatment based on glycemic response, their utility for informing treatment choice for other clinical outcomes remains largely unexplored.

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Publication Details

Journal
Journal of Clinical Investigation
Published
2026-01-15
DOI
https://doi.org/10.1172/jci194742
Citations
1
Primary Topic
Diabetes Treatment and Management
Type
article
Field-Weighted Citation Impact
30.73
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article

GLP-1RA precision medicine in people with type 2 diabetes: current insights and future prospects

Pedro Cardoso, Ewan R. Pearson, John M. Dennis
1 citations
Journal of Clinical Investigation
Diabetes Treatment and Management
30.73
article

GLP-1RA precision medicine in people with type 2 diabetes: current insights and future prospects

Pedro Cardoso, Ewan R. Pearson, John M. Dennis
article en
1 citations

Abstract

Glucagon-like peptide-1 receptor agonists (GLP-1RAs) have become an essential drug class for treating type 2 diabetes, offering proven benefits in glycemic control, weight reduction, and cardiovascular and renal protection. However, growing evidence of heterogeneity in GLP-1RA treatment effects highlights the potential for developing precision medicine approaches to more accurately allocate GLP-1RAs to maximize patient benefit. In this Review, we explore the evidence for treatment effect heterogeneity with GLP-1RAs, focusing on clinical and genetic factors that robustly influence established therapeutic outcomes. We also highlight the potential of recent predictive models that integrate routine clinical data with personalize treatment decisions, comparing GLP-1RA to other major type 2 diabetes drug classes. While such models have shown considerable promise in identifying optimal type 2 diabetes treatment based on glycemic response, their utility for informing treatment choice for other clinical outcomes remains largely unexplored.

Journal of Clinical InvestigationVol. 136(2)
Royal Devon and Exeter Hospital (GB), Ninewells Hospital (GB), Exeter Hospital (US)
Good health and well-being
Openalex Percentile: Top 2%
Diabetes Treatment and Management
30.73
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