Rong-Gui Huang , Kai-Di Li , Hong Wu , Yi-Yu Wang , Ya Xu , Xue Jin , Yu-Jie Du , Yi-Yuan Wang , Jing Wang , Zhang-Wei Lu , Bao-Zhu Li
{"title":"系统性红斑狼疮患者单一和混合微量元素暴露之间的相关性：病例对照研究","authors":"Rong-Gui Huang , Kai-Di Li , Hong Wu , Yi-Yu Wang , Ya Xu , Xue Jin , Yu-Jie Du , Yi-Yuan Wang , Jing Wang , Zhang-Wei Lu , Bao-Zhu Li","doi":"10.1016/j.jtemb.2024.127524","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><p>Recent studies have shown an association between trace elements and systemic lupus erythematosus (SLE), but the relationship between trace elements and SLE is still unclear. This study aims to determine the distribution of plasma trace elements in newly diagnosed SLE patients and the association between these essential and toxic element mixtures and SLE.</p></div><div><h3>Methods</h3><p>In total, 110 SLE patients and 110 healthy controls were included. Blood samples were collected. 15 plasma trace elements were quantified using an inductively coupled plasma mass spectrometer (ICP-MS). Multivariate logistic regression, restricted cubic spline (RCS), weighted quantile sum (WQS) regression, quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR) are used to analyze the association between single and mixed exposure of elements and SLE.</p></div><div><h3>Results</h3><p>The logistic regression model shows that, plasma lithium (Li) [OR (95 % CI): 1.963 (1.49–2.586)], vanadium (V) [OR (95 % CI): 2.617(1.645–4.166)] and lead (Pb) [OR (95 % CI): 1.603(1.197–2.145)] were positively correlated with SLE, while selenium (Se) [OR (95 % CI): 0.055(0.019–0.157)] and barium (Ba) [OR (95 % CI): 0.792(0.656–0.957)] had been identified as protective factors for SLE. RCS results showed a non-linear correlation between the elements Li, V, Ni, copper, Se, rubidium and SLE. In addition, WQS regression, qgcomp, and BKMR models consistently revealed significant positive effects of plasma Li and Pb on SLE, as well as significant negative effects of plasma Se.</p></div><div><h3>Conclusions</h3><p>Exposure to heavy metals such as Li and Pb is significantly positively correlated with SLE, but Se may be protective factors for SLE. In addition, there is a nonlinear correlation between the elements Li and Se and SLE, and there are complex interactions between the elements. In the future, larger populations and prospective studies are needed to confirm these associations.</p></div>","PeriodicalId":49970,"journal":{"name":"Journal of Trace Elements in Medicine and Biology","volume":"86 ","pages":"Article 127524"},"PeriodicalIF":3.6000,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The correlation between single and mixed trace elements exposure in systemic lupus erythematosus: A case-control study\",\"authors\":\"Rong-Gui Huang , Kai-Di Li , Hong Wu , Yi-Yu Wang , Ya Xu , Xue Jin , Yu-Jie Du , Yi-Yuan Wang , Jing Wang , Zhang-Wei Lu , Bao-Zhu Li\",\"doi\":\"10.1016/j.jtemb.2024.127524\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><p>Recent studies have shown an association between trace elements and systemic lupus erythematosus (SLE), but the relationship between trace elements and SLE is still unclear. This study aims to determine the distribution of plasma trace elements in newly diagnosed SLE patients and the association between these essential and toxic element mixtures and SLE.</p></div><div><h3>Methods</h3><p>In total, 110 SLE patients and 110 healthy controls were included. Blood samples were collected. 15 plasma trace elements were quantified using an inductively coupled plasma mass spectrometer (ICP-MS). Multivariate logistic regression, restricted cubic spline (RCS), weighted quantile sum (WQS) regression, quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR) are used to analyze the association between single and mixed exposure of elements and SLE.</p></div><div><h3>Results</h3><p>The logistic regression model shows that, plasma lithium (Li) [OR (95 % CI): 1.963 (1.49–2.586)], vanadium (V) [OR (95 % CI): 2.617(1.645–4.166)] and lead (Pb) [OR (95 % CI): 1.603(1.197–2.145)] were positively correlated with SLE, while selenium (Se) [OR (95 % CI): 0.055(0.019–0.157)] and barium (Ba) [OR (95 % CI): 0.792(0.656–0.957)] had been identified as protective factors for SLE. RCS results showed a non-linear correlation between the elements Li, V, Ni, copper, Se, rubidium and SLE. In addition, WQS regression, qgcomp, and BKMR models consistently revealed significant positive effects of plasma Li and Pb on SLE, as well as significant negative effects of plasma Se.</p></div><div><h3>Conclusions</h3><p>Exposure to heavy metals such as Li and Pb is significantly positively correlated with SLE, but Se may be protective factors for SLE. In addition, there is a nonlinear correlation between the elements Li and Se and SLE, and there are complex interactions between the elements. 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The correlation between single and mixed trace elements exposure in systemic lupus erythematosus: A case-control study
Background
Recent studies have shown an association between trace elements and systemic lupus erythematosus (SLE), but the relationship between trace elements and SLE is still unclear. This study aims to determine the distribution of plasma trace elements in newly diagnosed SLE patients and the association between these essential and toxic element mixtures and SLE.
Methods
In total, 110 SLE patients and 110 healthy controls were included. Blood samples were collected. 15 plasma trace elements were quantified using an inductively coupled plasma mass spectrometer (ICP-MS). Multivariate logistic regression, restricted cubic spline (RCS), weighted quantile sum (WQS) regression, quantile g-computation (qgcomp), and Bayesian kernel machine regression (BKMR) are used to analyze the association between single and mixed exposure of elements and SLE.
Results
The logistic regression model shows that, plasma lithium (Li) [OR (95 % CI): 1.963 (1.49–2.586)], vanadium (V) [OR (95 % CI): 2.617(1.645–4.166)] and lead (Pb) [OR (95 % CI): 1.603(1.197–2.145)] were positively correlated with SLE, while selenium (Se) [OR (95 % CI): 0.055(0.019–0.157)] and barium (Ba) [OR (95 % CI): 0.792(0.656–0.957)] had been identified as protective factors for SLE. RCS results showed a non-linear correlation between the elements Li, V, Ni, copper, Se, rubidium and SLE. In addition, WQS regression, qgcomp, and BKMR models consistently revealed significant positive effects of plasma Li and Pb on SLE, as well as significant negative effects of plasma Se.
Conclusions
Exposure to heavy metals such as Li and Pb is significantly positively correlated with SLE, but Se may be protective factors for SLE. In addition, there is a nonlinear correlation between the elements Li and Se and SLE, and there are complex interactions between the elements. In the future, larger populations and prospective studies are needed to confirm these associations.
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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