Association of serum metal levels with type 2 diabetes: A prospective cohort and mediating effects of metabolites analysis in Chinese population

被引:2
作者
Liu, Jia [1 ]
Wang, Lu [1 ]
Shen, Bohui [1 ]
Gong, Yan [1 ]
Guo, Xiangxin [2 ]
Shen, Qian [1 ]
Yang, Man [1 ]
Dong, Yunqiu [1 ]
Liu, Yongchao [1 ]
Chen, Hai [1 ]
Yang, Zhijie [1 ]
Liu, Yaqi [1 ]
Zhu, Xiaowei [1 ]
Ma, Hongxia [2 ]
Jin, Guangfu [2 ]
Qian, Yun [1 ]
机构
[1] Nanjing Med Univ, Affiliated Wuxi Ctr Dis Control & Prevent, Dept Chron Noncommunicable Dis Control, Wuxi Ctr Dis Control & Prevent, 499 Jincheng Rd, Wuxi 214023, Jiangsu, Peoples R China
[2] Nanjing Med Univ, Ctr Global Hlth, Sch Publ Hlth, Dept Epidemiol, Nanjing 211166, Jiangsu, Peoples R China
关键词
Metal exposure; Metabolite; Cohort study; Type; 2; diabetes; Mediation effect; RISK; THALLIUM; EXPOSURE; LIFE;
D O I
10.1016/j.ecoenv.2024.116470
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Several studies have suggested an association between exposure to various metals and the onset of type 2 diabetes (T2D). However, the results vary across different studies. We aimed to investigate the associations between serum metal concentrations and the risk of developing T2D among 8734 participants using a prospective cohort study design. We utilized inductively coupled plasma-mass spectrometry (ICP-MS) to assess the serum concentrations of 27 metals. Cox regression was applied to calculate the hazard ratios (HRs) for the associations between serum metal concentrations on the risk of developing T2D. Additionally, 196 incident T2D cases and 208 healthy control participants were randomly selected for serum metabolite measurement using an untargeted metabolomics approach to evaluate the mediating role of serum metabolite in the relationship between serum metal concentrations and the risk of developing T2D with a nested case-control study design. In the cohort study, after Bonferroni correction, the serum concentrations of zinc (Zn), mercury (Hg), and thallium (Tl) were positively associated with the risk of developing T2D, whereas the serum concentrations of manganese (Mn), molybdenum (Mo), barium (Ba), lutetium (Lu), and lead (Pb) were negatively associated with the risk of developing T2D. After adding these eight metals, the predictive ability increased significantly compared with that of the traditional clinical model (AUC: 0.791 vs. 0.772, P=8.85x10- 5). In the nested case-control study, a machine learning analysis revealed that the serum concentrations of 14 out of 1579 detected metabolites were associated with the risk of developing T2D. According to generalized linear regression models, 7 of these metabolites were significantly associated with the serum concentrations of the identified metals. The mediation analysis showed that two metabolites (2-methyl-1,2-dihydrophthalazin-1-one and mestranol) mediated 46.81% and 58.70%, respectively, of the association between the serum Pb concentration and the risk of developing T2D. Our study suggested that serum Mn, Zn, Mo, Ba, Lu, Hg, Tl, and Pb were associated with T2D risk. Two metabolites mediated the associations between the serum Pb concentration and the risk of developing T2D.
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页数:9
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