Yang Qianyuan, Liu Yalan, Liu Leilei, Zhang Linyuan, Lei Juan, Wang Qiaorong, Hong Feng
School of Public Health, The Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Medical University, Guiyang, 550025, China.
Guiyang City Center for Disease Control and Prevention, Guizhou, 550003, China.
Environ Geochem Health. 2023 May;45(5):2435-2445. doi: 10.1007/s10653-022-01366-x. Epub 2022 Aug 20.
Metals play an important role in the development of diabetes mellitus (DM). The association of metals with diabetes among the Dong ethnicity in China remains poorly understood. The current study aimed to evaluate the association of single metal exposure and multi-metal co-exposure with DM risk. Urinary concentrations of arsenic, cadmium, chromium, copper, iron, lead, manganese, mercury, molybdenum, nickel, strontium, vanadium, and zinc were measured using inductively coupled plasma-mass spectrometry (ICP-MS) among 4479 Dong ethnic participants aged 30-79 years from the China Multi-Ethnic Cohort (CMEC) study. Based on tertiles, the metal exposure can be divided into three groups: low, middle, and high exposure. Multivariate logistic regression models and principal component analysis were performed to determine exposure to single-metal and multi-metal co-exposure in relation to DM. A decrease in risk of DM was associated with iron (OR = 0.78, 95% CI: 0.61-1.00 and 0.68, 0.53-0.88 for the middle and high vs. low) and strontium (OR = 0.87, 95% CI: 0.69-1.12 and 0.67, 0.51-0.86 for the middle and high vs. low), respectively. A principal component 3 (PC3) characterized by iron and strontium showed an inverse association with DM. A principal component 4 (PC4) characterized by manganese and lead positively associated with DM. Exposure to high concentrations of urinary iron and strontium may reduce the risk of diabetes mellitus. This study revealed an increase in the risk of diabetes mellitus by co-exposure to high concentrations of urinary manganese and lead.
金属在糖尿病(DM)的发展中起着重要作用。在中国侗族人群中,金属与糖尿病之间的关联仍知之甚少。当前研究旨在评估单一金属暴露和多种金属共同暴露与糖尿病风险的关联。在中国多民族队列(CMEC)研究中,对4479名年龄在30 - 79岁的侗族参与者,使用电感耦合等离子体质谱法(ICP-MS)测量了尿液中砷、镉、铬、铜、铁、铅、锰、汞、钼、镍、锶、钒和锌的浓度。基于三分位数,金属暴露可分为三组:低暴露、中暴露和高暴露。进行多变量逻辑回归模型和主成分分析,以确定单一金属暴露和多种金属共同暴露与糖尿病的关系。糖尿病风险降低分别与铁(中暴露和高暴露组与低暴露组相比,OR = 0.78,95% CI:0.61 - 1.00和0.68,0.53 - 0.88)和锶(中暴露和高暴露组与低暴露组相比,OR = 0.87,95% CI:0.69 - 1.12和0.67,0.51 - 0.86)有关。以铁和锶为特征的主成分3(PC3)与糖尿病呈负相关。以锰和铅为特征的主成分4(PC4)与糖尿病呈正相关。尿液中铁和锶的高浓度暴露可能会降低糖尿病风险。本研究揭示了尿液中锰和铅的高浓度共同暴露会增加糖尿病风险。