ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2024
Association of Serum Uric Acid with Indices of Insulin Resistance: Proposal of a New Model with Reference to Gender Differences.
Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Association between different metabolic obesity phenotypes and hyperuricemia: the modifying role of liver enzymes.Frontiers in public health · 2026Article
- Serum Uric Acid as a Mediator of Insulin Resistance: Molecular Mechanisms and Metabolic Pathways.Endocrinology, diabetes & metabolism · 2026Review
- Anthocyanins Modulation of Gut Microbiota to Reverse Obesity-Driven Inflammation and Insulin Resistance.Nutrients · 2025Review
- Association between serum uric acid to creatinine ratio with metabolic profile in subjects with non-alcoholic fatty liver disease (NAFLD).BMC endocrine disorders · 2025Article
- Increased serum uric acid to creatinine ratio is associated with metabolic dysfunction associated steatotic liver disease.Scientific reports · 2025Article
- Correlation of the lipid complex marker hs-CRP/HDL-C ratio with hyperuricaemia: a cross-sectional retrospective study from NHANES 2015-2018.Scientific reports · 2025Article
- Association between uric acid to high-density lipoprotein cholesterol ratio and chronic kidney disease in Chinese patients with type 2 diabetes mellitus: a cross-sectional study.Frontiers in nutrition · 2025Article
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Authors and funding
7 authors.
Funding
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Abstract
Background: Insulin resistance (IR) is a key feature of type 2 diabetes (T2D) and an independent risk factor for metabolic syndrome. Previous studies have linked elevated serum uric acid (SUA) to an increased risk of T2D. Aim: The purpose of this study was to investigate the relationship between SUA and IR. At the same time, the correlation between New model and SUA compared with other IR alternatives was compared, so as to provide a simple and effective new indicator for early detection and prediction of IR risk and early prevention of T2D. Methods: The first cohort was the Discovery Cohort, which included 318 obese patients. And the second cohort was the Verification Cohort, which included a total of 4333 subjects who underwent a routine health checkup at our hospital. Spearman correlation analysis and binary logistic regression analysis were used to discuss the correlation between SUA and IR. Results: Regardless of sex, fasting insulin (FINS) and IR replacement markers increased with SUA (P<0.001). In both cohorts, SUA was associated with IR alternatives, especially with New model, and differed between men and women in all correlation analyses. After adjusting for confounding factors, SUA was still associated with IR (P<0.001). Conclusion: The correlation between SUA and IR was significantly stronger in women than in men. And the correlation between SUA and New model is stronger than other IR replacement models. However, the causal relationship between SUA and IR has not been clearly established.
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