Guangdong Provincial Engineering Research Center of Public Health Detection and Assessment, School of Public Health, Guangdong Pharmaceutical University, Guangzhou 510310, China.
Guangdong Provincial Institute of Public Health, Guangdong Provincial Center for Disease Control and Prevention, Guangzhou 511430, China.
Nutrients. 2023 Jan 20;15(3):552. doi: 10.3390/nu15030552.
Metal exposures have been inconsistently related to the risk of hyperuricemia, and limited research has investigated the interaction between obesity and metals in hyperuricemia. To explore their associations and interaction effects, 3300 participants were enrolled from 11 districts within 1 province in China, and the blood concentrations of 13 metals were measured to assess internal exposure. Multivariable logistic regression, restricted cubic spline (RCS), Bayesian kernel machine regression (BKMR), and interaction analysis were applied in the single- and multi-metal models. In single-metal models, five metals (V, Cr, Mn, Co, and Zn) were positively associated with hyperuricemia in males, but V was negatively associated with hyperuricemia in females. Following the multi-metal logistic regression, the multivariate-adjusted odds ratios (95% confidence intervals) of hyperuricemia were 1.7 (1.18, 2.45) for Cr and 1.76 (1.26, 2.46) for Co in males, and 0.68 (0.47, 0.99) for V in females. For V and Co, RCS models revealed wavy and inverted V-shaped negative associations with female hyperuricemia risk. The BKMR models showed a significant joint effect of multiple metals on hyperuricemia when the concentrations of five metals were at or above their 55th percentile compared to their median values, and V, Cr, Mn, and Co were major contributors to the combined effect. A potential interaction between Cr and obesity and Zn and obesity in increasing the risk of hyperuricemia was observed. Our results suggest that higher levels of Cr and Co may increase male hyperuricemia risk, while higher levels of V may decrease female hyperuricemia risk. Therefore, the management of metal exposure in the environment and diet should be improved to prevent hyperuricemia.
金属暴露与高尿酸血症的风险之间的关系不一致,并且有限的研究调查了肥胖症和金属在高尿酸血症中的相互作用。为了探讨它们的相关性和相互作用效应,在中国一个省的 11 个地区招募了 3300 名参与者,并测量了 13 种金属的血液浓度以评估内部暴露。多变量逻辑回归、限制立方样条(RCS)、贝叶斯核机器回归(BKMR)和交互分析应用于单金属和多金属模型中。在单金属模型中,五种金属(V、Cr、Mn、Co 和 Zn)与男性高尿酸血症呈正相关,但 V 与女性高尿酸血症呈负相关。在多金属逻辑回归之后,高尿酸血症的多变量调整比值比(95%置信区间)为男性 Cr 为 1.7(1.18,2.45)和 Co 为 1.76(1.26,2.46),女性 V 为 0.68(0.47,0.99)。对于 V 和 Co,RCS 模型显示出与女性高尿酸血症风险呈波浪形和倒置 V 形的负相关。当五种金属的浓度处于或高于其第 55 百分位数而不是中位数时,BKMR 模型显示出多种金属对高尿酸血症的联合效应,并且 V、Cr、Mn 和 Co 是联合效应的主要贡献者。观察到 Cr 和肥胖症以及 Zn 和肥胖症之间存在潜在的相互作用,从而增加了高尿酸血症的风险。我们的研究结果表明,Cr 和 Co 水平较高可能会增加男性高尿酸血症的风险,而 V 水平较高可能会降低女性高尿酸血症的风险。因此,应改善环境和饮食中金属暴露的管理,以预防高尿酸血症。