Association between serum uric acid levels and osteoporosis risk: evidence from a cross-sectional study and Mendelian randomization analysis
摘要
This study investigated the relationship between serum uric acid (SUA) levels and osteoporosis (OP) risk through cross-sectional and Mendelian randomization (MR) analyses to address the unclear role of SUA in bone metabolism.
MethodsData from the 2015–2020 National Health and Nutrition Examination Survey were analyzed using multiple logistic regression, restricted cubic spline (RCS) modeling, and subgroup analyses. MR was performed using the inverse variance weighted method as the primary approach, complemented by diverse methods and sensitivity analyses.
ResultsThis study included 6,020 participants, of whom 1635 were diagnosed with OP. Based on the fully adjusted Model IV, individuals in the third (Q3) and fourth (Q4) quartiles exhibited a 38% (OR = 0.622; 95% CI: 0.423–0.915; P = 0.030) and 49% (OR = 0.513; 95% CI: 0.320–0.823; P = 0.015) lower risk of osteoporosis, respectively, relative to those in the lowest quartile (Q1) (Table 2). RCS analysis revealed an L-shaped inverse association (P-overall = 0.011; P-non-linear = 0.803) with a turning point around 5.3 mg/dL. Subgroup analysis suggested that sex, race, diabetes status, and serum cholesterol levels were potential effect modifiers (P-interaction < 0.05). MR analysis further demonstrated a significant causal protective effect of SUA levels on OP (OR = 0.870; 95% CI: 0.776–0.974, P = 0.016).
ConclusionThis study provides new evidence that higher SUA levels are associated with reduced risk of OP, offering potential implications for future preventive strategies.