中国社区老年人尿中必需金属及其混合物与代谢综合征及其组成部分的关系

Associations of urinary essential metals and their mixture with metabolic syndrome and its components among Chinese community-dwelling older adults

中国社区老年人尿中必需金属及其混合物与代谢综合征及其组成部分的关系

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

Source: Journal of Trace Elements in Medicine And Biology

DOI: 10.1016/j.jtemb.2025.127623

Abstract

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.

Keywords: Bayesian kernel machine regression; Essential metals; Metabolic syndrome; Older adults; Quantile-based g-computation.

摘要

背景：人们对多种必需金属（EMs）对代谢综合征（MetS）的共同影响知之甚少。本研究旨在调查中国社区居住的老年人中，EMs 与 MetS 及其组成部分的个体和整体相关性。

研究方法：采用电感耦合等离子体质谱法（ICP-MS）测定了2222名老年人尿液中的六种EMs，包括钼（Mo）、钒（V）、硒（Se）、钙（Ca）、钴（Co）和镁（Mg）。利用逻辑回归和限制性立方样条（RCS）模型来评估单一电磁效应。基于量纲的 g 计算（Qgcomp）和贝叶斯核机器回归（BKMR）模型用于估算多重 EM 的总体效应。

结果： 在控制了潜在的混杂因素后，Mo 与 MetS 显著成反比关系（OR = 0.852，95 % CI：0.750 ∼ 0.967）。RCS 显示 Mo 与 MetS 呈负线性关系（总体 P = 0.039，非线性 P = 0.942）。BKMR 和 Qgcomp 模型均显示，EM 混合物与 MetS 呈反比关系，其中 Mo 的权重最高。此外，钼与高血压成反比，钒和硒与低高密度脂蛋白胆固醇（HDL-C）成反比，而镁与低高密度脂蛋白胆固醇成正比。EM混合物与高血压和低高密度脂蛋白胆固醇呈负相关。

结论：尿钼与高血压和低高密度脂蛋白胆固醇呈线性相关： 尿钼单独或作为一种混合物与 MetS 呈线性负相关。EM混合物与MetS风险的降低有关，主要由钼驱动，而钼可降低高血压风险。

关键词：贝叶斯核机器回归；必需金属；代谢综合征；老年人；基于定量的g计算