ArticlePeerJ2026
Correlation between the triglyceride-glucose index and retinal vascular parameters in the fundus: a cross-sectional study.
Article in PeerJ, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Authors and funding
5 authors.
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Abstract
Background: The triglyceride-glucose (TyG) index is a simple, cost-effective indicator of insulin resistance, strongly linked to cardiovascular/cerebrovascular risk. Advances in deep learning enable quantitative retinal microvascular analysis from non-invasive fundus photography. This study assessed correlations between retinal vascular characteristics and the TyG index to explore relationships between glucose-lipid metabolism and microvascular alterations. Methods: This cross-sectional study included 712 inpatients from Beijing Tongren Hospital Cardiovascular Center. Patients were stratified by TyG index quartiles (Q1-Q4). Retinal vascular parameters were automatically quantified from color fundus photographs (CFPs) using a deep learning segmentation model. Linear regression and subgroup analyses evaluated associations with TyG. Results: Significant intergroup differences existed in hypertension, diabetes, revascularization history, Gensini score, body mass index (BMI), fasting blood glucose (FBG), total cholesterol (TC), triglycerides (TG), low- density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and glycated hemoglobin (HbA1c) ( Conclusion: TyG levels negatively correlate with retinal FD, VD, and AVR, and positively correlate with MBVD and MVD. Significant interactions exist in individuals ≥ 65 years, where TyG correlates strongly with FD, VD, MBVD, and MVD.
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