Wang Panpan, Cheng Xuqiu, Zhang Chen, Lei Jingyuan, Wang Hongli, Wang Yuan, Sun Liang, Hu Bing, Qu Guangbo, Zhang Dongmei, Chen Guimei, Liang Chunmei, Tao Fangbiao, Wu Qingsi, Yao Yuyou, Yang Linsheng
School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China; Center for Big Data and Population Health of IHM, Hefei, Anhui 230032, China.
School of Public Health, Anhui Medical University, Hefei, Anhui 230032, China.
J Trace Elem Med Biol. 2025 Apr;88:127623. doi: 10.1016/j.jtemb.2025.127623. Epub 2025 Feb 18.
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.
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.
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 (P = 0.039, P = 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.
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.
关于多种必需金属（EMs）对代谢综合征（MetS）的联合作用知之甚少。本研究旨在调查中国社区居住的老年人中EMs与MetS及其组分的个体和总体相关性。
使用电感耦合等离子体质谱法（ICP-MS）测定了2222名老年人尿液中的6种EMs，包括钼（Mo）、钒（V）、硒（Se）、钙（Ca）、钴（Co）和镁（Mg）。采用逻辑回归和受限立方样条（RCS）模型评估单一EM的作用。基于分位数的g计算（Qgcomp）和贝叶斯核机器回归（BKMR）模型用于估计多种EM的总体作用。
在控制潜在混杂因素后，Mo与MetS呈显著负相关（OR = 0.852，95%CI：0.750～0.967）。RCS显示Mo与MetS呈负线性关联（P = 0.039，P = 0.942）。BKMR和Qgcomp模型均显示EM混合物与MetS呈负相关，其中Mo的权重最高。此外，Mo与高血压呈负相关，V和Se与低高密度脂蛋白胆固醇（HDL-C）呈负相关，而Mg与低HDL-C呈正相关。EM混合物与高血压和低HDL-C呈负相关。
尿液Mo与MetS呈线性负相关，无论是单独还是作为混合物。EM混合物与MetS风险降低有关，主要由Mo驱动，Mo降低了高血压风险。
