ArticleLipids in health and disease2024
Exploring the associations and potential mediators between lipid biomarkers and the risk of developing gout: NHANES 2007-2018.
Article in Lipids in health and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Decoding the lipid etiology of atherogenic index of plasma and gout: establishing the causal role of triglycerides through NHANES, Mendelian randomization, and network pharmacology.Cardiovascular diabetology. Endocrinology reports · 2026Article
- A Lipid- and Inflammation-Related Metabolite Risk Score Predicts Incident Gout Among Individuals With Hyperuricemia: A Prospective Cohort Study.Clinical rheumatology · 2026Article
- Association between remnant cholesterol level and gout in US adults.The Journal of international medical research · 2026Article
- AdaBoost-based differential diagnosis of gouty arthritis and rheumatoid arthritis: model construction, temporal validation, and SHAP visualization.Frontiers in medicine · 2026Article
- Metabolically healthy obesity increases the risks of MASLD and hyperuricemia: a cohort study with mediation analysis.BMC endocrine disorders · 2025Article
- Dyslipidemia and aging: the non-linear association between atherogenic index of plasma (AIP) and aging acceleration.Cardiovascular diabetology · 2025Article
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5 authors.
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Abstract
backgroundGout stands as a prevailing manifestation of inflammatory arthritis. While it is linked to several well-established risk factors, the associations between lipid profiles and the risk of gout remain unclear.
methodsThis research involved National Health and Nutrition Examination Survey data (2007-2018). The cardiometabolic index, which incorporates the Triglycerides (TG)/High-density lipoprotein cholesterol (HDL) ratio and waist to height ratio (WHtR), was used to assess lipid profiles and metabolic health. Multivariate logistic regression analysis, propensity score matching, and mediation analyses were utilized to evaluate the associations of lipid profiles and the cardiometabolic index with the risk of developing gout.
resultsAmong 11,032 participants, each 1-unit increase in TG levels was associated with a 65% increase in the odds of developing gout before matching [1.65 (1.15-2.38), P = 0.007] and a 155% increase in the odds of developing gout after matching [2.55 (1.59-4.09), P = 0.007]. Each 1-unit increase in the cardiometabolic index was linked to an 81% increase in the odds of developing gout before matching [1.81 (1.22-2.70), P = 0.004] and a 215% increase in the odds of developing gout after matching [3.15 (1.84-5.40), P < 0.001]. The participants with HDL levels in the third quartile presented a 35% reduction in gout risk relative to those with HDL levels in the first quartile before matching [0.65 (0.46-0.92), P = 0.014] and a 51% reduction in gout risk after matching [0.49 (0.32-0.75), P < 0.001]. Mediation analyses revealed that BMI, WHtR, and homeostatic model assessment for insulin resistance (HOMA-IR) mediated the relationships between TG levels and the risk of developing gout at 18.75%, 24.28%, and 5.35%, respectively. For the association between HDL levels and the risk of developing gout, the mediating effects of BMI, WHtR, leukocytes, γ-glutamyltransferase (in those with HDL < 56 mmol/L), and HOMA-IR were 57.98%, 69.03%, 8.77%, 5.18%, and 11.14%, respectively.
conclusionThis study reveals the relationship between lipid profiles and the risk of developing gout. Regularly checking TG and HDL levels and actively managing obesity, insulin resistance, oxidative stress and inflammation are important for lowering the risk of developing gout.
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