Panpan Wang , Xuqiu Cheng , Chen Zhang , Jingyuan Lei , Hongli Wang , Yuan Wang , Liang Sun , Bing Hu , Guangbo Qu , Dongmei Zhang , Guimei Chen , Chunmei Liang , Fangbiao Tao , Qingsi Wu , Yuyou Yao , Linsheng Yang
{"title":"中国社区老年人尿必需金属及其混合物与代谢综合征及其组分的关系","authors":"Panpan Wang , Xuqiu Cheng , Chen Zhang , Jingyuan Lei , Hongli Wang , Yuan Wang , Liang Sun , Bing Hu , Guangbo Qu , Dongmei Zhang , Guimei Chen , Chunmei Liang , Fangbiao Tao , Qingsi Wu , Yuyou Yao , Linsheng Yang","doi":"10.1016/j.jtemb.2025.127623","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Little is known regarding the joint effect of multiple essential metals (EMs) on metabolic syndrome (MetS). This study aimed to investigate individual and overall correlations of EMs with MetS and its components among Chinese community-dwelling older adults.</div></div><div><h3>Methods</h3><div>Six urine EMs, including molybdenum (Mo), vanadium (V), selenium (Se), calcium (Ca), cobalt (Co), and magnesium (Mg), were measured using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) in 2222 older adults. Logistic regression and restricted cubic spline (RCS) models were utilized to assess single EM effects. Quantile-based g-computation (Qgcomp) and Bayesian kernel machine regression (BKMR) models were applied to estimate the overall effects of multiple EMs.</div></div><div><h3>Results</h3><div>After controlling for potential confounders, Mo was significantly inversely connected to MetS (<em>OR</em> = 0.852, 95 % <em>CI</em>: 0.750 ∼ 0.967). RCS displayed a negative linear association of Mo with MetS (<em>P</em> <sub>for overall</sub> = 0.039, <em>P</em> <sub>for nonlinearity</sub> = 0.942). Both BKMR and Qgcomp models showed that EM mixture was inversely related to MetS, with Mo having the highest weight. Furthermore, Mo was inversely linked with high blood pressure, and V and Se were inversely linked with low high-density lipoprotein cholesterol (HDL-C), whereas Mg was positively linked with low HDL-C. The EM mixture was negatively correlated with high blood pressure and low HDL-C.</div></div><div><h3>Conclusions</h3><div>Urine Mo is in a linearly inverse correlation with MetS, individually and as a mixture. The EM mixture is connected to decreased MetS risk, mainly driven by Mo, which decreases the risk of high blood pressure.</div></div>","PeriodicalId":49970,"journal":{"name":"Journal of Trace Elements in Medicine and Biology","volume":"88 ","pages":"Article 127623"},"PeriodicalIF":3.6000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Associations of urinary essential metals and their mixture with metabolic syndrome and its components among Chinese community-dwelling older adults\",\"authors\":\"Panpan Wang , Xuqiu Cheng , Chen Zhang , Jingyuan Lei , Hongli Wang , Yuan Wang , Liang Sun , Bing Hu , Guangbo Qu , Dongmei Zhang , Guimei Chen , Chunmei Liang , Fangbiao Tao , Qingsi Wu , Yuyou Yao , Linsheng Yang\",\"doi\":\"10.1016/j.jtemb.2025.127623\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Little is known regarding the joint effect of multiple essential metals (EMs) on metabolic syndrome (MetS). This study aimed to investigate individual and overall correlations of EMs with MetS and its components among Chinese community-dwelling older adults.</div></div><div><h3>Methods</h3><div>Six urine EMs, including molybdenum (Mo), vanadium (V), selenium (Se), calcium (Ca), cobalt (Co), and magnesium (Mg), were measured using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) in 2222 older adults. Logistic regression and restricted cubic spline (RCS) models were utilized to assess single EM effects. Quantile-based g-computation (Qgcomp) and Bayesian kernel machine regression (BKMR) models were applied to estimate the overall effects of multiple EMs.</div></div><div><h3>Results</h3><div>After controlling for potential confounders, Mo was significantly inversely connected to MetS (<em>OR</em> = 0.852, 95 % <em>CI</em>: 0.750 ∼ 0.967). RCS displayed a negative linear association of Mo with MetS (<em>P</em> <sub>for overall</sub> = 0.039, <em>P</em> <sub>for nonlinearity</sub> = 0.942). Both BKMR and Qgcomp models showed that EM mixture was inversely related to MetS, with Mo having the highest weight. Furthermore, Mo was inversely linked with high blood pressure, and V and Se were inversely linked with low high-density lipoprotein cholesterol (HDL-C), whereas Mg was positively linked with low HDL-C. The EM mixture was negatively correlated with high blood pressure and low HDL-C.</div></div><div><h3>Conclusions</h3><div>Urine Mo is in a linearly inverse correlation with MetS, individually and as a mixture. The EM mixture is connected to decreased MetS risk, mainly driven by Mo, which decreases the risk of high blood pressure.</div></div>\",\"PeriodicalId\":49970,\"journal\":{\"name\":\"Journal of Trace Elements in Medicine and Biology\",\"volume\":\"88 \",\"pages\":\"Article 127623\"},\"PeriodicalIF\":3.6000,\"publicationDate\":\"2025-02-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Trace Elements in Medicine and Biology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0946672X25000367\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Trace Elements in Medicine and Biology","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0946672X25000367","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
Associations of urinary essential metals and their mixture with metabolic syndrome and its components among Chinese community-dwelling older adults
Background
Little is known regarding the joint effect of multiple essential metals (EMs) on metabolic syndrome (MetS). This study aimed to investigate individual and overall correlations of EMs with MetS and its components among Chinese community-dwelling older adults.
Methods
Six urine EMs, including molybdenum (Mo), vanadium (V), selenium (Se), calcium (Ca), cobalt (Co), and magnesium (Mg), were measured using Inductively Coupled Plasma Mass Spectrometry (ICP-MS) in 2222 older adults. Logistic regression and restricted cubic spline (RCS) models were utilized to assess single EM effects. Quantile-based g-computation (Qgcomp) and Bayesian kernel machine regression (BKMR) models were applied to estimate the overall effects of multiple EMs.
Results
After controlling for potential confounders, Mo was significantly inversely connected to MetS (OR = 0.852, 95 % CI: 0.750 ∼ 0.967). RCS displayed a negative linear association of Mo with MetS (Pfor overall = 0.039, Pfor nonlinearity = 0.942). Both BKMR and Qgcomp models showed that EM mixture was inversely related to MetS, with Mo having the highest weight. Furthermore, Mo was inversely linked with high blood pressure, and V and Se were inversely linked with low high-density lipoprotein cholesterol (HDL-C), whereas Mg was positively linked with low HDL-C. The EM mixture was negatively correlated with high blood pressure and low HDL-C.
Conclusions
Urine Mo is in a linearly inverse correlation with MetS, individually and as a mixture. The EM mixture is connected to decreased MetS risk, mainly driven by Mo, which decreases the risk of high blood pressure.
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.