ArticleActa diabetologica2026
Serum uric acid to HDL-Chol ratio (UHR) is associated with insulin resistance/sensitivity in individuals without diabetes.
Article in Acta diabetologica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Article
- Uric Acid-to-HDL Cholesterol Ratio Is Associated with Prediabetes and an Adverse Metabolic Profile: Results from the Genetics of Atherosclerotic Disease (GEA) Study.Diagnostics (Basel, Switzerland) · 2026Article
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10 authors.
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Abstract
backgroundThe uric acid-to-HDL cholesterol ratio (UHR) is a promising non-insulin-based marker for metabolic risk, associated with type 2 diabetes, hypertension, hepatic steatosis, and cardiovascular disease. However, its utility in individuals with altered glucose tolerance remains unclear.
methodsWe investigated the relationship between UHR and insulin sensitivity in two independent cohorts. Sample 1 (n = 1555) from the CATAMERI study, was stratified based on oral glucose tolerance test (OGTT) results, and Sample 2 (n = 332) from the EUGENE2 project, with insulin sensitivity measured via euglycemic-hyperinsulinemic clamp.
resultsIn Sample 1, UHR showed positive correlations with BMI, triglycerides, 2-hour plasma glucose, HOMA-IR, fasting plasma insulin (p < 0.0001 for all) and with HbA1c (p < 0.001), and negative correlations with Matsuda index (p < 0.0001) and total cholesterol (p = 0.019). Multivariable linear regression identified HOMA-IR (β = 0.100), Matsuda index (β=-0.146), InsAUC30/GluAUC30 (β = 0.120), and Stumvoll 1st-phase insulin secretion (β = 0.121) as independent UHR predictors. In Sample 2, bivariate analyses, adjusted for age, sex, and BMI, confirmed positive correlations between UHR and HbA1c (p < 0.001), 2-hour post-load glucose (p = 0.001), BMI, triglycerides, and fasting insulin (p < 0.0001 for all) and a negative correlation with Clamp M (glucose disposal, p = 0.0003). Finally, multivariable regression of Clamp M variability (adjusted for age, sex, and BMI) demonstrated significant negative associations with UHR (β= -0.230) and BMI (β= -0.375).
conclusionThese findings suggest that UHR, derived easily and inexpensively from routine clinical measurements, is a promising indicator of metabolic risk in individuals without diabetes. Its accessibility positions it as a potential tool for early diabetes prevention strategies, potentially reducing reliance on the OGTT.
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