Department of Preventive Medicine, School of Public Health, Shanghai University of Traditional Chinese Medicine, Shanghai 201203, China.
Division of Epidemiology, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN 37203, USA.
Environ Int. 2018 Dec;121(Pt 2):1355-1362. doi: 10.1016/j.envint.2018.11.002. Epub 2018 Nov 12.
Urinary metals are considered measures of long-term exposures of metals, such as cadmium (Cd). Some studies indicate reduced renal function may affect the urinary excretion of several metals in general population making assessments difficult.
To examine whether reduced renal function is associated with reduced urinary excretion of 12 metals or their metabolites and, in turn, an underestimated measure of Cd in general population.
We conducted analyses using data from the National Health and Nutrition Examination Survey (NHANES) 2003-2012. Multiple linear regression models were used to examine the associations between urinary metal levels and estimated glomerular filtration rate (eGFR). Restricted cubic spline regression models were used to evaluate the nonlinearity.
Urinary metal levels significantly increased (p < 0.001) with increasing eGFR, except for antimony (p = 0.172). Urinary levels of arsenic, dimethylarsonic acid, cobalt, molybdenum and tungsten increased linearly with eGFR, while Cd, lead, mercury, barium, cesium and thallium increased nonlinearly (p < 0.001) with eGFR. Based on a restricted cubic spline regression model, we found, corresponding to a fixed blood Cd adverse cutpoint of 5 μg/L, predicted urinary Cd cutpoints substantially varied from 0.78-1.21 μg/g for urinary Cd between those aged <40 years and who had chronic kidney disease and those aged 60 years or over with normal renal function, respectively.
Reduced renal function is associated with reduced urinary metals; and associations are also observed across the eGFR range not just in the reduced range. Urinary abnormal cutpoints of metals are likely dependent on eGFR and age. The associations between urinary exposure of metals and disease risk are likely underestimated without considering the modifying effect of renal function.
尿液中的金属被认为是金属长期暴露的指标,如镉(Cd)。一些研究表明,肾功能下降可能会影响一般人群中几种金属的尿液排泄,从而使评估变得困难。
检查肾功能下降是否与 12 种金属或其代谢物的尿液排泄减少有关,以及反过来是否会低估一般人群中 Cd 的测量值。
我们使用 2003-2012 年全国健康与营养调查(NHANES)的数据进行了分析。使用多元线性回归模型来检查尿液金属水平与估计肾小球滤过率(eGFR)之间的关联。使用受限立方样条回归模型来评估非线性。
除了锑(p=0.172)外,随着 eGFR 的增加,尿液金属水平显著增加(p<0.001)。砷、二甲基砷酸、钴、钼和钨的尿水平与 eGFR 呈线性增加,而 Cd、铅、汞、钡、铯和铊的尿水平与 eGFR 呈非线性增加(p<0.001)。根据受限立方样条回归模型,我们发现,对于固定的血液 Cd 不良切点 5μg/L,对于年龄<40 岁且患有慢性肾脏病的人和年龄 60 岁或以上肾功能正常的人,预测的尿 Cd 切点从 0.78-1.21μg/g 之间有很大差异。
肾功能下降与尿液金属减少有关;并且在 eGFR 范围内观察到关联,而不仅仅是在降低范围内。金属的尿液异常切点可能依赖于 eGFR 和年龄。如果不考虑肾功能的修饰作用,金属尿液暴露与疾病风险之间的关联可能被低估。