Department of Epidemiology and Biostatistics, School of Public Health, Jilin University, No.1163 Xinmin Street, Changchun, 130021, Jilin, China.
Department of Biostatistics and Epidemiology, School of Public Health, China Medical University, No.77 Puhe Road, Shenyang North New Area, Shenyang, 110122, Liaoning Province, China.
Biol Trace Elem Res. 2023 Apr;201(4):1659-1669. doi: 10.1007/s12011-022-03309-0. Epub 2022 Jul 9.
Mechanisms underlying abnormal uric acid (UA) levels from exposure to toxic metals/metalloids have not been not fully elucidated, especially in the context of mixtures. The aim was to identify major toxic metals/metalloids that affected UA levels with a mixture exposure concept in the association model. From 2007-2016 National Health and Nutrition Examination Survey (NHANES), 4794 adults were involved. Serum UA (SUA) and SUA to serum creatinine ratio (SUA/SCr) were used to estimate the UA levels, and cadmium (Cd), lead (Pb), mercury (Hg), and arsenic (As) in the blood and/or urine were evaluated in the study. We assessed the associations between toxic metals and UA levels using linear regression and Bayesian kernel machine regression (BKMR). The median [P, P] SUA/SCr and SUA level were 6.22 [5.27, 7.32] and 0.83 [0.72, 0.98], respectively. There was no difference for SUA/SCr by gender (men, 6.25 [5.39, 7.29]; women, 6.17 [5.17, 7.36], P = 0.162), but men had higher SUA than women (men, 0.95 [0.85, 1.05]; women, 0.72 [0.64, 0.82], P < 0.001). Blood Pb (β = 0.651 and β = 1.014) and urinary Cd (β = 0.252 and β = 0.613) were positively associated with SUA/SCr, and urinary Pb (β = - 0.462 and β = - 0.838) was inversely associated with SUA/SCr in multivariate linear regression analysis. However, urinary As (β = 0.351) was positively associated with SUA/SCr only in men. BKMR showed that higher concentrations of exposure to a mixture of toxic metals were positively associated with higher UA levels, where Cd, Pb, and urinary As contributed most to the overall mixture effect in men, while Pb and urinary Cd in women. Our study provided the first evidence that mixtures of metals are associated with the UA levels. Increased concentrations of metals, mainly blood Pb, urinary Cd, and As (only in men) may increase the level of UA.
暴露于有毒金属/类金属导致尿酸(UA)水平异常的机制尚未完全阐明,尤其是在混合物的情况下。本研究旨在确定主要的有毒金属/类金属,这些金属/类金属在混合物暴露概念的关联模型中会影响 UA 水平。本研究纳入了 2007-2016 年全国健康与营养调查(NHANES)中的 4794 名成年人。使用血清 UA(SUA)和 SUA 与血清肌酐比值(SUA/SCr)来估计 UA 水平,并评估血液和/或尿液中的镉(Cd)、铅(Pb)、汞(Hg)和砷(As)。我们使用线性回归和贝叶斯核机器回归(BKMR)来评估有毒金属与 UA 水平之间的关系。SUA/SCr 和 SUA 水平的中位数[P,P]分别为 6.22[5.27,7.32]和 0.83[0.72,0.98]。SUA/SCr 不受性别影响(男性,6.25[5.39,7.29];女性,6.17[5.17,7.36],P=0.162),但男性的 SUA 高于女性(男性,0.95[0.85,1.05];女性,0.72[0.64,0.82],P<0.001)。血液 Pb(β=0.651 和 β=1.014)和尿 Cd(β=0.252 和 β=0.613)与 SUA/SCr 呈正相关,而尿 Pb(β=−0.462 和 β=−0.838)与 SUA/SCr 呈负相关多元线性回归分析。然而,尿 As(β=0.351)仅在男性中与 SUA/SCr 呈正相关。BKMR 显示,有毒金属混合物暴露浓度较高与 UA 水平升高呈正相关,其中 Cd、Pb 和尿 As 在男性中对整体混合物效应贡献最大,而在女性中则为 Pb 和尿 Cd。本研究首次提供了金属混合物与 UA 水平相关的证据。金属浓度的增加,主要是血液 Pb、尿 Cd 和 As(仅在男性中)可能会增加 UA 水平。