Evidence mapPaperPMID 41924528Full record

ArticleFrontiers in endocrinology2026

Estimated small dense low-density lipoprotein cholesterol and hyperuricemia in diabetic patients.

Mengjiao Xu, Han Yan, Yi Xue, Yong Yin, Xuejing Shao, Qichao Yang

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Article in Frontiers in endocrinology, 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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5 · Who and what money

Authors and funding

6 authors.

Mengjiao Xu *Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China.
Han Yan *Department of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China.
Yi XueDepartment of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China.
Yong YinDepartment of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China.
Xuejing ShaoDepartment of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China.
Qichao YangDepartment of Endocrinology, Wujin Clinical College of Xuzhou Medical University, Affiliated Wujin Hospital of Jiangsu University, Changzhou, Jiangsu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Small dense low-density lipoprotein cholesterol (sdLDL-C) is a key driver of atherosclerotic cardiovascular disease risk. This study aims to investigate the relationship between estimated sdLDL-C (E-sdLDL-C) and hyperuricemia in diabetic populations. Methods: This study analyzed 3572 diabetic participants from the NHANES dataset and an independent validation cohort of 248 Chinese subjects from the Affiliated Wujin Hospital of Jiangsu University. E-sdLDL-C was derived from basic lipid profile parameters. Hyperuricemia was determined by serum uric acid ≥420 μmol/L for men and ≥360 μmol/L for women. The relationship between E-sdLDL-C and hyperuricemia was examined using logistic regression, with restricted cubic splines applied to explore non-linear associations. Results: Diabetic patients with hyperuricemia had significantly higher E-sdLDL-C levels (P<0.001). Each standard deviation increase in E-sdLDL-C was associated with 39% higher odds of hyperuricemia (OR = 1.39, 95% CI: 1.28-1.51, P<0.001). Quartile analysis showed a dose-response relationship, with progressively higher odds ratios across increasing quartiles of E-sdLDL-C. Restricted cubic spline modeling identified a non-linear relationship, with an inflection point at 25.83 μmol/L. The robustness of these associations was confirmed through external validation in an independent Chinese diabetic cohort. Conclusion: E-sdLDL-C might serve as a practical biomarker for identifying diabetic patients at increased hyperuricemia risk.

Indexed as

Cholesterol, LDLDiabetes MellitusHyperuricemiaAdultAgedBiomarkersChinaFemaleHumansMaleMiddle AgedRisk FactorsUric AcidBiomarkersCholesterol, LDLUric Aciddiabeteshyperuricemialipidslow-density lipoprotein cholesterolnonlinear relationship

Identifiers

PMID41924528
PMCPMC13035721

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.