Department of Dietetics, Faculty of Human Nutrition and Consumer Sciences, Warsaw University of Life Sciences, Nowoursynowska 159c, 02-776, Warsaw, Poland.
Departament of Biological and Environmental Monitoring, Nofer Institute of Occupational Medicine, Św. Teresy od Dzieciątka Jezus 8, 91-348, Łódź, Poland.
J Trace Elem Med Biol. 2019 Jul;54:44-54. doi: 10.1016/j.jtemb.2019.03.009. Epub 2019 Apr 1.
Almost every organ in the human body can be affected by arsenic (As) exposure associated with various industrial processes, as well as with contaminated food, drinking water and polluted air. Much is known about high exposure to inorganic As but there is little data on the metabolic changes connected to a low exposure e.g. in people living in smelter areas.
The objectives of the study were: (1) characterise urinary concentration of total arsenic (AsT) in Polish inhabitants of the vicinity of a copper smelter area, (2) speciation analysis of various forms of arsenic in girls (GL), boys (BL), women (WL) and men (ML) with a slightly elevated AsT concentration and age/sex matched groups with a substantially higher AsT concentration, (GH, BH, WH and MH - respectively), (3) comparison of metabolomics profiles of urine between the age/sex matched people with low and high AsT concentrations.
Urine samples were analysed for total arsenic and its chemical forms (As; As, methylarsonic acid, dimethylarsinic acid, arsenobetaine) using HPLC-ICP-MS. Untargeted metabolomics analysis of the urine samples was performed using UPLC system connected to Q-TOF-MS equipped with an electrospray source. The XCMS Online program was applied for feature detection, retention time correction, alignment, statistics, annotation and identification. Potentially identified compounds were fragmented and resulting spectra were compared to the spectra in the Human Metabolome Database.
Urine concentration of AsT was, as follows: GL 16.40 ± 0.83; GH 115.23 ± 50.52; BL 16.48 ± 0.83; BH 95.00 ± 50.03; WL 16.93 ± 1.21; WH 170.13 ± 96.47; ML 16.91 ± 1.20; MH 151.71 ± 84.31 μg/l and percentage of arsenobetaine in AsT was, as follows: GL 65.5 ± 13.8%, GH 87.2 ± 4.7%, BL 59.8 ± 12.5%, BH 90.5 ± 2.4%, WL 50.8 ± 14.1%, WH 90.4 ± 3.5%, ML 53.3 ± 10.0%, MH 74.6 ± 20.2%. In the people with low and high AsT concentrations there were significant differences in the intensity of signal (is.) from numerous compounds being metabolites of neurotransmitters, nicotine and hormones transformation (serotonin in the girls and women; catecholamines in the girls, boys and women; mineralocorticoids and glucocorticoids in the boys, androgens in the women and men and nicotine in the boys, women and men). These changes might have been associated with higher is. from metabolites of leucine, tryptophan, purine degradation (in the GH, WH), urea cycle (in the WH and MH), glycolysis (in the WH) and with lower is. from metabolites of tricarboxylic acid cycle (in the BH) in comparison with low AsT matched groups. In the MH vs. ML higher is. from metabolite of lipid peroxidation (4-hydroxy-2-nonenal) was observed. Additionally, the presence of significant differences was reported in is. from food components metabolites, which might have modulated the negative effects of As (vitamin C in the girls, boys and men, vitamin B in the girls, boys and women as well as phenolic compounds in the boys and girls). We hypothesize that the observed higher is. from metabolites of sulphate (in MH) and glucoronate degradation (in BH, WH and MH) than in the matched low AsT groups may be related to the impaired glucuronidation and sulfonation and higher is. from catecholamines, nicotine and hormones.
Our results indicated that even a low exposure to As is associated with metabolic changes and that urine metabolomics studies could be a good tool to reflect their wide spectrum connected to specific environmental exposure to As, e.g. in smelter areas.
人体的几乎每个器官都可能受到与各种工业过程相关的砷(As)暴露以及受污染的食物、饮用水和污染空气的影响。人们对高浓度无机砷的了解很多,但对低浓度暴露(例如在冶炼厂地区的居民中)相关的代谢变化知之甚少。
本研究的目的是:(1)描述波兰铜冶炼厂地区附近居民尿液中总砷(AsT)的浓度;(2)对浓度略高的砷(AsT)女孩(GL)、男孩(BL)、妇女(WL)和男子(ML)以及浓度明显更高的砷(AsT)年龄/性别匹配组(GH、BH、WH 和 MH 分别)中各种砷形态进行分析;(3)比较低浓度和高浓度砷(AsT)人群尿液的代谢组学特征。
使用 HPLC-ICP-MS 分析尿液中的总砷及其化学形态(As;As、甲基砷酸、二甲基砷酸、砷甜菜碱)。使用 UPLC 系统与配备电喷雾源的 Q-TOF-MS 进行非靶向代谢组学分析。应用 XCMS Online 程序进行特征检测、保留时间校正、对齐、统计、注释和鉴定。对潜在鉴定的化合物进行碎片化,并将得到的光谱与人类代谢组数据库中的光谱进行比较。
尿液中 AsT 的浓度如下:GL 为 16.40±0.83;GH 为 115.23±50.52;BL 为 16.48±0.83;BH 为 95.00±50.03;WL 为 16.93±1.21;WH 为 170.13±96.47;ML 为 16.91±1.20;MH 为 151.71±84.31μg/L,AsT 中砷甜菜碱的百分比为:GL 为 65.5±13.8%,GH 为 87.2±4.7%,BL 为 59.8±12.5%,BH 为 90.5±2.4%,WL 为 50.8±14.1%,WH 为 90.4±3.5%,ML 为 53.3±10.0%,MH 为 74.6±20.2%。在低浓度和高浓度砷(AsT)人群中,许多作为神经递质、尼古丁和激素转化代谢物的化合物的信号强度(is.)存在显著差异,包括女孩和妇女中的血清素;女孩、男孩和妇女中的儿茶酚胺;男孩中的盐皮质激素和糖皮质激素;妇女中的雄激素;以及男孩、妇女和男子中的尼古丁。这些变化可能与较高的亮氨酸、色氨酸、嘌呤降解代谢物(在 GH、WH 中)、尿素循环(在 WH 和 MH 中)、糖酵解(在 WH 中)的 is.有关,并且与低浓度砷(AsT)匹配组相比,三羧酸循环(在 BH 中)代谢物的 is.较低。在 MH 与 ML 相比,观察到脂质过氧化代谢物(4-羟基-2-壬烯醛)的 is.更高。此外,还报道了食物成分代谢物的 is.存在显著差异,这可能调节了砷的负面效应(女孩、男孩和男子中的维生素 C,女孩、男孩和妇女中的维生素 B 以及男孩和女孩中的酚类化合物)。我们假设观察到的硫酸盐(在 MH 中)和葡糖醛酸降解(在 BH、WH 和 MH 中)的 is.高于低浓度砷(AsT)匹配组可能与葡萄糖醛酸化和磺化受损以及儿茶酚胺、尼古丁和激素的 is.增加有关。
我们的结果表明,即使是低浓度的砷暴露也与代谢变化有关,尿液代谢组学研究可能是反映其与特定环境砷暴露(例如在冶炼厂地区)相关的广泛谱的良好工具。