Kordas Katarzyna, Queirolo Elena I, Mañay Nelly, Peregalli Fabiana, Hsiao Pao Ying, Lu Ying, Vahter Marie
School of Social and Community Medicine, University of Bristol, Bristol, UK; Department of Nutritional Sciences, Pennsylvania State University, University Park, PA, USA.
Center for Research, Catholic University of Uruguay, Montevideo, Uruguay.
Environ Res. 2016 May;147:16-23. doi: 10.1016/j.envres.2016.01.022. Epub 2016 Jan 30.
Arsenic exposure in children is a public health concern but is understudied in relation to the predictors, and effects of low-level exposure. We examined the extent and dietary predictors of exposure to inorganic arsenic in 5-8 year old children from Montevideo, Uruguay. Children were recruited at school; 357 were enrolled, 328 collected morning urine samples, and 317 had two 24-h dietary recalls. Urinary arsenic metabolites, i.e. inorganic arsenic (iAs), methylarsonic acid (MMA), and dimethylarsinic acid (DMA), were measured using high-performance liquid chromatography with hydride generation and inductively coupled plasma mass spectrometry (HPLC-HG-ICP-MS), and the sum concentration (U-As) used for exposure assessment. Proportions of arsenic metabolites (%iAs, %MMA and %DMA) in urine were modelled in OLS regressions as functions of food groups, dietary patterns, nutrient intake, and nutritional status. Exposure to arsenic was low (median U-As: 9.9µg/L) and household water (water As: median 0.45µg/L) was not a major contributor to exposure. Children with higher consumption of rice had higher U-As but lower %iAs, %MMA, and higher %DMA. Children with higher meat consumption had lower %iAs and higher %DMA. Higher scores on "nutrient dense" dietary pattern were related to lower %iAs and %MMA, and higher %DMA. Higher intake of dietary folate was associated with lower %MMA and higher %DMA. Overweight children had lower %MMA and higher %DMA than normal-weight children. In summary, rice was an important predictor of exposure to inorganic arsenic and DMA. Higher meat and folate consumption, diet rich in green leafy and red-orange vegetables and eggs, and higher BMI contributed to higher arsenic methylation capacity.
儿童砷暴露是一个公共卫生问题,但在低水平暴露的预测因素及影响方面研究较少。我们调查了乌拉圭蒙得维的亚5至8岁儿童无机砷暴露的程度及其饮食预测因素。儿童是在学校招募的;共招募了357名儿童,其中328名收集了晨尿样本,317名进行了两次24小时饮食回顾调查。使用氢化物发生-电感耦合等离子体质谱联用的高效液相色谱法(HPLC-HG-ICP-MS)测定尿中砷代谢产物,即无机砷(iAs)、甲基砷酸(MMA)和二甲基砷酸(DMA),并将总浓度(U-As)用于暴露评估。在OLS回归中,将尿中砷代谢产物的比例(%iAs、%MMA和%DMA)作为食物组、饮食模式、营养素摄入量和营养状况的函数进行建模。砷暴露水平较低(U-As中位数:9.9µg/L),家庭用水(水中砷中位数:0.45µg/L)并非暴露的主要来源。大米消费量较高的儿童U-As较高,但%iAs、%MMA较低,%DMA较高。肉类消费量较高的儿童%iAs较低,%DMA较高。“营养密集型”饮食模式得分较高与%iAs和%MMA较低、%DMA较高有关。膳食叶酸摄入量较高与%MMA较低、%DMA较高有关。超重儿童的%MMA低于正常体重儿童,%DMA高于正常体重儿童。总之,大米是无机砷和DMA暴露的重要预测因素。较高的肉类和叶酸消费量、富含绿叶蔬菜、红橙色蔬菜和鸡蛋的饮食以及较高的BMI有助于提高砷甲基化能力。