98%
921
2 minutes
20
Importance: Emerging evidence suggests that glucagon-like peptide-1 receptor agonists (GLP-1RAs), commonly used for glycemic control in diabetes, may possess anti-inflammatory properties. Understanding their potential protective role against uveitis could provide insights into novel therapeutic strategies.
Objective: To evaluate whether being prescribed a GLP-1RA is associated with a reduced risk of developing uveitis.
Design, Setting, And Participants: This was a retrospective cohort study using electronic health record (EHR) network data from 2006 to 2025. Propensity score matching was applied to control for demographics, smoking status, hypertension, body mass index, hemoglobin A1c, and diabetic retinopathy stage. Data from the US Collaborative Network of TriNetX, a large multicenter EHR platform, were used in this analysis. Included were patients with and without diabetes with prescriptions for GLP-1RAs, metformin, insulin, or sodium-glucose cotransporter 2 inhibitors (SGLT2is). The control groups consisted of patients without prescriptions for each medication.
Exposure: Use of GLP-1RAs, metformin, insulin, or SGLT2is, identified through prescription records.
Main Outcomes And Measures: The primary outcome was the incidence of noninfectious uveitis, identified using International Classification of Diseases (ICD) encounter diagnosis codes. Risk ratios (RRs) with 95% CIs were calculated to assess the association between GLP-1RA use and uveitis risk. Analyses included risk of overall uveitis and subtypes such as chorioretinal inflammation, anterior uveitis, panuveitis, and retinal vasculitis.
Results: A total of 516 052 patients were included in this study, 258 026 (mean [SD] age, 56.4 [13.7] years; 159 025 female [61.6%]) in the GLP-1RA group and 258 026 (mean [SD] age, 56.4 [14.0] years; 159 374 female [61.8%]) in the control group. The GLP-1RA cohort had a reduced risk of uveitis compared with controls (RR, 0.48; 95% CI, 0.46-0.51). This was consistent among those with type 2 diabetes (RR, 0.54; 95% CI, 0.51-0.58) and those without diabetes (RR, 0.52; 95% CI, 0.46-0.59). Compared with the cohorts taking metformin (RR, 0.58; 95% CI, 0.54-0.62) and insulin (RR, 0.57; 95% CI, 0.54-0.61), GLP-1RA prescriptions were associated with greater protection against uveitis. However, GLP-1RAs were associated with a slightly increased uveitis risk vs SGLT2is (RR, 1.17; 95% CI, 1.04-1.32). SGLT2i prescriptions were also associated with reduced uveitis risk compared with controls (RR, 0.52; 95% CI, 0.48-0.56).
Conclusions And Relevance: This cohort study found that GLP-1RA prescriptions were associated with a lower risk of uveitis compared with controls. These findings suggest potential anti-inflammatory benefits beyond glycemic control, warranting further investigation into their role in ocular inflammatory diseases.
Download full-text PDF |
Source |
---|---|
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC12395358 | PMC |
http://dx.doi.org/10.1001/jamaophthalmol.2025.2822 | DOI Listing |
Curr Opin Ophthalmol
September 2025
Francis I. Proctor Foundation, Department of Ophthalmology.
Purpose Of Review: To highlight the ocular manifestations associated with COVID-19 and review the evidence surrounding proposed associations with corneal transplant rejection and uveitis reactivation.
Recent Findings: SARS-CoV-2 has been associated with various ocular manifestations, most commonly conjunctivitis. Less frequently, more severe complications such as uveitis, retinal vascular occlusions, and neuro-ophthalmic syndromes have been reported.
Surv Ophthalmol
September 2025
Advanced Eye Centre, Post Graduate Institute of Medical Education and Research, Chandigarh, India 160012. Electronic address:
Fluorescein angiography (FA) has long been a cornerstone for evaluating retinal vascular leakage in diseases like uveitis, diabetic retinopathy, and macular degeneration, but its interpretation relies on subjective grading that can vary between clinicians. With the emergence of artificial intelligence (AI), there is a push to transform this qualitative assessment into objective, quantifiable metrics. We conducted a comprehensive literature search using PubMed, Embase, and Scopus, combining keywords and MeSH terms related to fluorescein angiography leakage, artificial intelligence, and retinal vascular diseases.
View Article and Find Full Text PDFScand J Rheumatol
September 2025
Department of Clinical Sciences Lund, Rheumatology, Lund University, Lund, Sweden.
Objectives: To explore and compare the prevalences of a wide range of comorbidities in axial spondyloarthritis (axSpA) versus the general population, and in non-radiographic versus radiographic axSpA (nr-axSpA/r-axSpA).
Method: Well-characterized axSpA patients (n = 246) from the SPARTAKUS cohort (55% men; mean age/disease duration 52/26 years; nr-axSpA/r-axSpA = 82/164) were included, and matched to comparators from the general population (five/patient) randomly drawn from the Swedish Population Register. Fifty-nine comorbidities were determined from ICD-10 diagnosis registrations in primary/specialized care, with data retrieved for the 10 year period preceding SPARTAKUS inclusion (for patients/their respective comparators).
JAMA Ophthalmol
August 2025
Cole Eye Institute, Cleveland Clinic, Cleveland, Ohio.
Importance: Emerging evidence suggests that glucagon-like peptide-1 receptor agonists (GLP-1RAs), commonly used for glycemic control in diabetes, may possess anti-inflammatory properties. Understanding their potential protective role against uveitis could provide insights into novel therapeutic strategies.
Objective: To evaluate whether being prescribed a GLP-1RA is associated with a reduced risk of developing uveitis.
Invest Ophthalmol Vis Sci
August 2025
Programme for Ocular Inflammation & Infection Translational Research, Department of Ophthalmology, National Healthcare Group Eye Institute, Tan Tock Seng Hospital, Singapore, Singapore.
Purpose: We developed and evaluated machine learning models for predicting the risk of recurrent uveitis using baseline clinical characteristics, to inform clinical decision-making and risk stratification.
Methods: A retrospective analysis was conducted using the Ocular Autoimmune Systemic Inflammatory Infectious Study registry, including 966 patients (1432 eyes) with uveitis. Three machine learning classifiers-random Forest, eXtreme Gradient Boosting, and radial basis function support vector classifier-were trained on preprocessed baseline demographic and clinical data.