中国社区老年人尿金属浓度与高尿酸血症的关系：探讨肾小球滤过率估算的中介作用

IF 6.1 2区环境科学与生态学 Q1 ENVIRONMENTAL SCIENCES

Ecotoxicology and Environmental Safety Pub Date : 2025-02-26 DOI:10.1016/j.ecoenv.2025.117943

Zeyang Bai , Yuqing Dai , Siyu Duan , Zhongyuan Zhang , Zhuoheng Shen , Meiyan Li , Limeng Xiong , Jinhao Jia , Yi Zhao , Yihong Di , Huifang Yang , Jian Sun , Rui Zhang

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引用次数: 0

摘要

研究表明，多种金属暴露与高尿酸血症有关。然而，先前关于多种金属暴露与高尿酸血症之间的关联和相互作用的研究一直存在争议，并且对估算肾小球滤过率（eGFR）的潜在介导作用的评估很少。方法采用电感耦合等离子体质谱法（ICP-MS）测定了3756例研究对象尿液中12种金属的含量。采用多变量logistic回归模型和限制性三次样条（RCS）分析尿金属与高尿酸血症的关系。采用加权分位数和（WQS）回归探讨每种金属的重量。采用贝叶斯核机回归（BKMR）研究混合金属暴露的连接效应。采用中介分析探讨eGFR在尿金属浓度与高尿酸血症的关系中的作用。结果在多金属模型中，高尿酸血症的多变量校正比值比（OR）和95% %置信区间（CI）分别为：铁0.89（0.81,0.99）、硒0.79（0.70,0.89）、镉0.84（0.75,0.93）、铅0.87（0.79,0.96）、锌1.36 (1.23,1.51)（P均为 <； 0.05）。RCS回归显示Zn和Pb具有显著的非线性关联（均为p -非线性<；0.05）。基于负拟合的WQS回归模型表明，Cd的最大质量为43.1 %。在BKMR模型中，金属混合物与发生高尿酸血症的风险总体呈负相关，我们还发现锌和铅之间存在相互作用。eGFR在铁、硒、镉、铅与高尿酸血症之间的中介率分别为11.18 %、12.10 %、9.60 %和12.01 %。结论尿中金属混合物与高尿酸血症呈负相关，其中镉的影响最大。eGFR可能在铁、硒、镉和铅暴露与高尿酸血症的关联中起部分作用。

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Association between urinary metal concentrations and hyperuricemia in Chinese community-dwelling elderly: Exploring the mediating role of estimating glomerular filtration rate

Background

It has been shown that multiple metals exposure is associated with hyperuricemia. However, previous studies on the association and interaction between multiple metals exposure and hyperuricemia have been controversial, and there has been little evaluation of the potential mediating role of estimating glomerular filtration rate (eGFR).

Methods

In this study, levels of 12 metals in the urine of 3756 study participants were measured using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). The associations between urinary metals and the hyperuricemia were analyzed by multivariable logistic regression model and restricted cubic spline (RCS). Weighted Quantile Sum (WQS) regression was used to explore the weight of each metal. Bayesian Kernel Machine Regression (BKMR) was used to explore the join effect of mixed metal exposure. Mediation analysis was used to explore the role of eGFR in relationship between urinary metal concentration and hyperuricemia.

Results

In the multi-metal model, the multivariate-adjusted odds ratio (OR) and 95 % confidence interval (CI) of hyperuricemia were 0.89 (0.81,0.99) for Fe, 0.79 (0.70,0.89) for Se, 0.84 (0.75,0.93) for Cd, 0.87 (0.79,0.96) for Pb, 1.36 (1.23,1.51) for Zn (all P < 0.05). The RCS regression indicated signification nonlinear associations for Zn and Pb (all P-non-linear <0.05). The WQS regression model based on the negative fit showed that the maximum weight of Cd is 43.1 %. In the BKMR model, metal mixtures showed an overall negative association with the risk of developing hyperuricemia, and we also found interactions between Zn and Pb. Mediation analysis showed that eGFR mediated the association between Fe, Se, Cd, Pb and hyperuricemia with mediation ratios of 11.18 %, 12.10 %, 9.60 %, and 12.01 %, respectively.

Conclusions

The metal mixture in urine is negatively correlated with hyperuricemia, with Cd having the greatest impact. eGFR may play a partial role in association of Fe, Se, Cd and Pb exposure with hyperuricemia.

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来源期刊

Ecotoxicology and Environmental Safety 环境科学-毒理学

CiteScore

12.10

自引率

5.90%

发文量

1234

审稿时长

88 days

期刊介绍： Ecotoxicology and Environmental Safety is a multi-disciplinary journal that focuses on understanding the exposure and effects of environmental contamination on organisms including human health. The scope of the journal covers three main themes. The topics within these themes, indicated below, include (but are not limited to) the following: Ecotoxicology、Environmental Chemistry、Environmental Safety etc.