Department of Occupational and Environmental Health, Key Laboratory of Environment and Health, Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Dongfeng Central Hospital, Hubei University of Medicine, Shiyan, China.
Environ Pollut. 2018 Jun;237:917-925. doi: 10.1016/j.envpol.2018.01.046. Epub 2018 Feb 21.
The long-term associations between multiple metals and incident diabetes are uncertain. We aimed to examine the relationship between plasma concentrations of 23 metals and the incidence of type 2 diabetes among Chinese senior adults. We quantified fasting plasma concentrations of 23 metals by inductively coupled plasma mass spectrometry among 1039 incident diabetes cases and 1039 controls (age and sex matched) nested in a prospective study, the Dongfeng-Tongji cohort. Both cases and controls were free of diabetes at baseline (2008-2010), incident diabetes were identified using the following criteria: fasting glucose ≥ 7.0 mmoL/l; or hemoglobin A1c (HbA1c) ≥ 6.5%; or self-reported physician diagnosis of diabetes or use of anti-diabetic medication during the follow-up visits in 2013. In the conditional logistic regression models, the multivariable adjusted ORs (95% CIs) of diabetes across quartiles (Q1-Q4) of metal concentrations were as follows: titanium, 1.00, 0.92, 1.31, 1.38 (1.00-1.91, P = 0.011); selenium, 1.00, 1.08, 1.45, 1.27 (0.93-1.74, P = 0.05); and antimony, 1.00, 0.79, 0.77, 0.60 (0.44-0.83, P = 0.002). Arsenic was significantly associated with diabetes in the crude model (ORs comparing extreme quartiles 1.30; 1.02-1.65; P = 0.006), but was not significant after adjustment for socio-demographic factors. No significant associations were found for other metals. In conclusion, titanium and selenium were positively while antimony was negatively associated with incident diabetes.
多种金属与 2 型糖尿病发病之间的长期关联尚不确定。本研究旨在探讨中国老年人血浆中 23 种金属浓度与 2 型糖尿病发病的关系。通过电感耦合等离子体质谱法(ICP-MS)对前瞻性研究——东风-同济队列中的 1039 例 2 型糖尿病患者(病例组)和 1039 例匹配年龄和性别对照者(对照组)的空腹血浆浓度进行了量化。所有病例和对照在基线时(2008-2010 年)均无糖尿病,2013 年随访期间通过以下标准确诊为糖尿病:空腹血糖≥7.0mmol/L;或糖化血红蛋白(HbA1c)≥6.5%;或自我报告的医生诊断或使用降糖药物。在条件 logistic 回归模型中,金属浓度四分位数(Q1-Q4)的糖尿病多变量校正比值比(95%置信区间)为:钛,1.00、0.92、1.31、1.38(1.00-1.91,P=0.011);硒,1.00、1.08、1.45、1.27(0.93-1.74,P=0.05);和锑,1.00、0.79、0.77、0.60(0.44-0.83,P=0.002)。砷在未校正模型中与糖尿病显著相关(比较极端四分位数的比值比 1.30;1.02-1.65;P=0.006),但在调整社会人口因素后无统计学意义。其他金属与糖尿病无显著关联。综上所述,钛和硒与 2 型糖尿病发病呈正相关,而锑与 2 型糖尿病发病呈负相关。