Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
Department of Occupational and Environmental Health and State Key Laboratory of Environmental Health for Incubating, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China; Department of Public Health, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Chemosphere. 2020 Sep;254:126763. doi: 10.1016/j.chemosphere.2020.126763. Epub 2020 Apr 19.
Epidemiologic studies suggest that circulating metals from the natural environment are linked with cardiometabolic health. However, few studies examined the relationship between multiple metals exposure and metabolic phenotypes, especially in obese individuals. We conducted a cross-sectional study to explore the association between 23 urinary metals and metabolic phenotypes in 1392 overweight and obese individuals (592 males, 800 females, mean age 43.1 ± 9.8 years). Participants were classified as metabolically unhealthy if they had ≥2 of the following metabolic abnormalities: elevated blood pressure, elevated fasting blood glucose, elevated triglycerides, and reduced high-density lipoprotein cholesterol. Odds ratios (ORs) of unhealthy metabolic phenotypes for metal levels categorized into tertiles were assessed using logistic regression models. Five metals (barium, copper, iron, uranium, and zinc) were associated with unhealthy metabolic phenotypes in single-metal models, while in the multiple-metal model, only zinc and zinc-copper ratio remained significant. The ORs (95% CIs) comparing extreme tertiles were 2.57 (1.69, 3.89) for zinc and 1.68 (1.24, 2.27) for zinc-copper ratio after adjustment for confounders (both p-trends were <0.001). The numbers of metabolic abnormalities significantly increased with the levels of zinc and the zinc-copper ratio increased. Similar associations were observed with metabolic syndrome risk. High levels of urinary zinc were positively associated with elevated fasting blood glucose (p-trend < 0.001) and elevated triglycerides (p-trend = 0.003). The results suggest that urinary zinc and zinc-copper ratio are positively associated with increased risk of unhealthy metabolic phenotype. Further prospective studies with a larger sample size are required to verify these findings.
流行病学研究表明,来自自然环境的循环金属与心脏代谢健康有关。然而,很少有研究检查多种金属暴露与代谢表型之间的关系,尤其是在肥胖人群中。我们进行了一项横断面研究,以探讨 1392 名超重和肥胖个体(592 名男性,800 名女性,平均年龄 43.1±9.8 岁)中 23 种尿金属与代谢表型之间的关系。如果个体存在以下 2 种或以上代谢异常,则将其归类为代谢不健康:血压升高、空腹血糖升高、甘油三酯升高和高密度脂蛋白胆固醇降低。使用逻辑回归模型评估金属水平分为三分位数时,不健康代谢表型的比值比(OR)。在单金属模型中,有 5 种金属(钡、铜、铁、铀和锌)与不健康代谢表型相关,而在多金属模型中,只有锌和锌铜比值仍然显著。与极端三分位数相比,锌的 OR(95%CI)为 2.57(1.69,3.89),锌铜比值的 OR 为 1.68(1.24,2.27),调整混杂因素后(两者的 p 趋势均<0.001)。随着锌水平和锌铜比值的升高,代谢异常的数量显著增加。代谢综合征风险也观察到类似的关联。尿锌水平与空腹血糖升高(p 趋势<0.001)和甘油三酯升高(p 趋势=0.003)呈正相关。结果表明,尿锌和锌铜比值与不健康代谢表型的风险增加呈正相关。需要进一步进行具有更大样本量的前瞻性研究来验证这些发现。