School of Public Health, Ningxia Medical University, Yinchuan, Ningxia 750004, PR China; Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia 750004, PR China.
School of Public Health, Ningxia Medical University, Yinchuan, Ningxia 750004, PR China; NHC Key Laboratory of Metabolic Cardiovascular Diseases Research, Ningxia Medical University, Yinchuan, Ningxia 750004, PR China; Key Laboratory of Environmental Factors and Chronic Disease Control, Yinchuan, Ningxia 750004, PR China.
J Trace Elem Med Biol. 2024 Sep;85:127472. doi: 10.1016/j.jtemb.2024.127472. Epub 2024 May 21.
Multiple metals exposure has been revealed to be related to metabolic syndrome (MetS). However, the associations and interactions between multiple metals exposure and MetS are remains controversial, and the potential mechanism of the above-mentioned is still unclear.
The associations between urinary metals and the MetS were analyzed by multivariable logistic regression model and restricted cubic spline (RCS). Bayesian kernel machine regression (BKMR) model and quantile-based g-computation (qgcomp) were applied to explore the mixed exposure and interaction effect of metals. Mediation analysis was used to explore the role of liver function.
In the single metal model, multiple metals were significantly associated with MetS. RCS analysis further verified the associations between 8 metals and MetS. BKMR model and qgcomp showed that zinc (Zn), iron (Fe), and tellurium (Te) were the main factors affecting the overall effect. In addition, mediation analysis indicated that serum alanine aminotransferase (ALT) mediated 21.54% and 13.29% in the associations of vanadium (V) and Zn with the risk of MetS, respectively.
Elevated urinary concentration of Zn, V, Te, copper (Cu), molybdenum (Mo), and thallium (Tl) were related to the increased risk of MetS. Conversely, Fe and selenium (Se) may be protective factors for MetS in mixed exposure. Liver function may play a key role in the association of V and Zn exposure with MetS.
多种金属暴露已被证明与代谢综合征（MetS）有关。然而，多种金属暴露与 MetS 之间的关联和相互作用仍存在争议，其潜在机制尚不清楚。
采用多变量逻辑回归模型和限制立方样条（RCS）分析尿金属与 MetS 的相关性。贝叶斯核机器回归（BKMR）模型和基于分位数的 g 计算（qgcomp）被应用于探索金属的混合暴露和相互作用效应。中介分析用于探索肝功能的作用。
在单金属模型中，多种金属与 MetS 显著相关。RCS 分析进一步验证了 8 种金属与 MetS 之间的关系。BKMR 模型和 qgcomp 表明，锌（Zn）、铁（Fe）和碲（Te）是影响整体效应的主要因素。此外，中介分析表明，血清丙氨酸氨基转移酶（ALT）介导了 V 和 Zn 与 MetS 风险之间的 21.54%和 13.29%的关联。
尿中 Zn、V、Te、铜（Cu）、钼（Mo）和铊（Tl）浓度升高与 MetS 风险增加有关。相反，Fe 和硒（Se）可能是混合暴露中 MetS 的保护因素。肝功能可能在 V 和 Zn 暴露与 MetS 之间的关联中起关键作用。
