Analysis of relationship between mixed heavy metal exposure and early renal damage based on a weighted quantile sum regression and Bayesian kernel machine regression model

IF 3.6 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
Qi An , Qingyao Wang , Rujie Liu , Jiachen Zhang , Shuangjing Li , Weitong Shen , Han Zhou , Yufen Liang , Yang Li , Lina Mu , Lijian Lei
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引用次数: 0

Abstract

Background

Occupation, environmental heavy metal exposure, and renal function impairment are closely related. The relationship between mixed metal exposure and chronic renal injury is inadequately described, and the interaction between each metal is poorly explored.

Objective

This cross-sectional study assessed mixed heavy metal exposure in the general population and their relationship with early renal impairment, as well as possible interactions between metals.

Methods

The study was conducted in two communities in Taiyuan City in northern China. Multiple linear regression, weighted quantile sum (WQS) and bayesian kernel machine regression (BKMR) regression were used to explore the relationship of mixed heavy metal exposure with indicators of early kidney injury (N-acetyl-β-D- glucosidase (UNAG), urinary albumin (UALB)). Meanwhile, BKMR was used to explore the possible interactions between mixed heavy metal and indicators of early kidney injury.

Results

Based on the WQS regression results, we observed adjusted WQS coefficient β (β-WQS) of 0.711 (95% CI: 0.543, 0.879). Notably, this change was primarily driven by As (35.6%) and Cd (22.5%). In the UALB model, the adjusted β-WQS was 0.657 (95% CI: 0.567, 0.747), with Ni (30.5%), Mn (22.1%), Cd (21.2%), and As (18.6%) exhibiting higher weights in the overall effect. The BKMR results showed a negative interaction between As and other metals in the UNAG and UALB models, a positive interaction between Mn and Ni and other metals. No significant pairwise interaction was observed in the association of metals with indicators of early kidney injury.

Conclusion

Through multiple linear regression, WQS regression, and BKMR analyses, we found that exposure to mixed heavy metals such as Cd, Cr, Pb, Mn, As, Co and Ni was positively correlated with UNAG and UALB. Moreover, there are complex interactions between two or more heavy metals in more than one direction.

Abstract Image

基于加权量子和回归和贝叶斯核机回归模型的混合重金属暴露与早期肾损伤关系分析
背景职业、环境重金属暴露和肾功能损伤密切相关。本横断面研究评估了普通人群的混合重金属暴露及其与早期肾功能损害的关系,以及金属之间可能存在的相互作用。采用多元线性回归、加权量化和(WQS)和贝叶斯核机器回归(BKMR)探讨混合重金属暴露与早期肾损伤指标(N-乙酰-β-D-葡萄糖苷酶(UNAG)、尿白蛋白(UALB))的关系。结果根据 WQS 回归结果,我们观察到调整后的 WQS 系数 β(β-WQS)为 0.711(95% CI:0.543,0.879)。值得注意的是,这一变化主要是由砷(35.6%)和镉(22.5%)引起的。在 UALB 模型中,调整后的β-WQS 为 0.657 (95% CI: 0.567, 0.747),镍(30.5%)、锰(22.1%)、镉(21.2%)和砷(18.6%)在总体效应中的权重较高。BKMR 结果显示,在 UNAG 和 UALB 模型中,砷与其他金属之间存在负交互作用,锰和镍与其他金属之间存在正交互作用。结论通过多元线性回归、WQS 回归和 BKMR 分析,我们发现镉、铬、铅、锰、砷、钴和镍等混合重金属暴露与 UNAG 和 UALB 呈正相关。此外,两种或两种以上重金属之间存在着复杂的相互作用,其方向不止一个。
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来源期刊
CiteScore
6.60
自引率
2.90%
发文量
202
审稿时长
85 days
期刊介绍: The journal provides the reader with a thorough description of theoretical and applied aspects of trace elements in medicine and biology and is devoted to the advancement of scientific knowledge about trace elements and trace element species. Trace elements play essential roles in the maintenance of physiological processes. During the last decades there has been a great deal of scientific investigation about the function and binding of trace elements. The Journal of Trace Elements in Medicine and Biology focuses on the description and dissemination of scientific results concerning the role of trace elements with respect to their mode of action in health and disease and nutritional importance. Progress in the knowledge of the biological role of trace elements depends, however, on advances in trace elements chemistry. Thus the Journal of Trace Elements in Medicine and Biology will include only those papers that base their results on proven analytical methods. Also, we only publish those articles in which the quality assurance regarding the execution of experiments and achievement of results is guaranteed.
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