Associations between urinary rare Earth elements with renal function: Findings from a cross-sectional study in Guangxi, China

With increased applications of rare earth elements (REEs) across various industries, evaluating the relationship between REEs exposure and potential health effects has become a public concern. In vivo experiments have established that REEs impact renal function. However, relevant epidemiological evi...

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Veröffentlicht in:Journal of trace elements in medicine and biology 2024-09, Vol.85, p.127461, Article 127461
Hauptverfasser: Luo, Xingxi, Xiao, Suyang, Huang, Dongping, Guo, Erna, Yang, Yu, Qiu, Xiaoqiang, Wang, Xiaogang, Qian, Zhengmin, Vaughn, Michael G., Bingheim, Elizabeth, Dong, Guanghui, Liu, Shun, Zeng, Xiaoyun
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Sprache:eng
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Zusammenfassung:With increased applications of rare earth elements (REEs) across various industries, evaluating the relationship between REEs exposure and potential health effects has become a public concern. In vivo experiments have established that REEs impact renal function. However, relevant epidemiological evidence on this relationship remains scarce. The objective of this study is to examine the impact of exposure to REEs on renal function. In this cross-sectional study, 1052 participants were recruited from Guangxi, China. We measured urinary concentrations of 12 REEs using an inductively coupled plasma-mass spectrometer (ICP-MS). Multiple linear regression models were developed to explore the relationship between a single REEs exposure and the estimated glomerular filtration rate (eGFR), a marker of renal function. Weighted quantile sum (WQS) regression and Bayesian kernel machine regression (BKMR) were used to examine the combined effects of REE co-exposure on eGFR. In the multiple linear regression analysis, increasing the concentrations of lanthanum (La, β: 8.22, 95% CI: 5.67–10.77), cerium (Ce, β:6.61, 95% CI: 3.80–9.43), praseodymium (Pr, β: 8.46, 95% CI: 5.85–11.07), neodymium (Nd, β:8.75, 95% CI: 6.10–11.41), and dysprosium (Dy, β:7.38, 95% CI: 4.85–9.91) significantly increased the eGFR. In the WQS regression model, the WQS index was significantly associated with eGFR (β: 4.03, 95% CI: 2.46–5.60), with Pr having the strongest correlation with eGFR. Similar results were obtained in the BKMR model. Additionally, interactions between Pr and La, and Pr and Nd were observed. Co-exposure to REEs is positively associated with elevated eGFR. Pr is likely to have the most significant influence on increased eGFRs and this might be exacerbated when interacting with La and Nd. Mixed exposure to low doses of REEs had a protective effect on renal function, which can provide some evidence for the exposure threshold of REEs in the environment. The study has been approved by the Guangxi Medical University Medical Ethics Committee (#20170206–1), and all participants provided written informed consent. [Display omitted]
ISSN:0946-672X
1878-3252
1878-3252
DOI:10.1016/j.jtemb.2024.127461