The association between the essential metal mixture and fasting plasma glucose in Chinese community-dwelling elderly people

Authors：Pan-Pan Wang , Jing-Yuan Lei , Yuan Wang , Hong-Li Wang , Liang Sun , Bing Hu , Su-Fang Wang , Dong-Mei Zhang , Gui-Mei Chen , Chun-Mei Liang , Fang-Biao Tao , Lin-Sheng Yang , Qing-Si Wu

Source：Ecotoxicol Environ Saf. 2023 Jul 25;263:115289.

DOI:10.1016/j.ecoenv.2023.115289

Abstract：Background:Epidemiological studies about the effect of essential metal mixture on fasting plasma glucose (FPG) levels among elderly people are sparse. The object of this study was to examine the associations of single essential metals and essential metal mixture with FPG levels in Chinese community-dwelling elderly people.

Methods: The study recruited 2348 community-dwelling elderly people in total. Inductively coupled plasma-mass spectrometry was adopted to detect the levels of vanadium (V), selenium (Se), magnesium (Mg), cobalt (Co), calcium (Ca), and molybdenum (Mo) in urine. The relationships between single essential metals and essential metal mixture and FPG levels were evaluated by linear regression and Bayesian kernel machine regression (BKMR) models, respectively.

Results: In multiple-metal linear regression models, urine V and Mg were negatively related to the FPG levels (β = - 0.016, 95 % CI: - 0.030 to - 0.003 for V; β = - 0.021, 95 % CI: - 0.033 to - 0.009 for Mg), and urine Se was positively related to the FPG levels (β = 0.024, 95 % CI: 0.014-0.034). In BKMR model, the significant relationships of Se and Mg with the FPG levels were also found. The essential metal mixture was negatively associated with FPG levels in a dose-response pattern, and Mg had the maximum posterior inclusion probability (PIP) value (PIP = 1.0000), followed by Se (PIP = 0.9968). Besides, Co showed a significant association with decreased FPG levels in older adults without hyperlipemia and in women.

Conclusions: Both Mg and Se were associated with FPG levels, individually and as a mixture. The essential metal mixture displayed a linear dose-response relationship with reduced FPG levels, with Mg having the largest contribution to FPG levels, followed by Se. Further prospective investigations are necessary to validate these exploratory findings.

摘要：

背景：关于人体必需金属混合物对老年人空腹血浆葡萄糖（FPG）水平影响的流行病学研究很少。本研究旨在探讨中国社区老年人中单一必需金属和必需金属混合物与空腹血糖水平的关系。

方法：本研究共招募了 2348 名社区老年人。采用电感耦合等离子体质谱法检测尿液中钒（V）、硒（Se）、镁（Mg）、钴（Co）、钙（Ca）和钼（Mo）的含量。分别采用线性回归和贝叶斯核机器回归（BKMR）模型评估了单一必需金属和必需金属混合物与 FPG 水平之间的关系。

结果：在多金属线性回归模型中，尿液中的V和Mg与FPG水平呈负相关（V为β = - 0.016，95 % CI: - 0.030 to - 0.003；Mg为β = - 0.021，95 % CI: - 0.033 to - 0.009），而尿液中的Se与FPG水平呈正相关（β = 0.024，95 % CI: 0.014-0.034）。在 BKMR 模型中，也发现 Se 和 Mg 与 FPG 水平有显著关系。必需金属混合物与 FPG 水平呈剂量反应模式的负相关，镁的后纳入概率（PIP）值最大（PIP = 1.0000），其次是硒（PIP = 0.9968）。此外，在无高脂血症的老年人和女性中，Co 与 FPG 水平的下降有显著相关性。

结论：无论是单独还是作为混合物，镁和硒都与 FPG 水平有关。必需金属混合物与 FPG 水平的降低呈线性剂量反应关系，其中镁对 FPG 水平的影响最大，其次是硒。有必要进行进一步的前瞻性研究来验证这些探索性发现。