Organic and Pharmaceutical Technology Group, Department of Chemistry, Wroclaw University of Technology, Wybrzeże Wyspiańskiego 27, 50-370 Wrocław, Poland.
Wroclaw Medical University, Wybrzeże L. Pasteura 1, 50-367 Wrocław, Poland.
Environ Int. 2014 Jul;68:71-81. doi: 10.1016/j.envint.2014.03.015. Epub 2014 Apr 6.
Environmental metabonomics is the application of metabonomics to characterize the interactions of organisms with their environment. Metabolic profiling is an exciting addition to the armory of the epidemiologist for the discovery of new disease risk biomarkers and diagnostics. This work is a continuation of research searching for preclinical serum markers in a group of 389 healthy smelter workers exposed to lead, cadmium and arsenic. Changes in the metabolic profiles were studied using Proton Nuclear Magnetic Resonance Spectroscopy on pooled serum samples from both the metal exposed and control groups. These multivariate metabonomic datasets were analyzed with Principal Component Analysis and Partial Least Squares Discriminant Analysis. Analysis of metabolic profiles of people exposed to heavy metals suggests energy metabolism disturbance induced by heavy metals. Changes in lipid fraction (very-low-density lipoprotein - VLDL, low-density lipoprotein - LDL), unsaturated lipids and in the level of amino acids suggest perturbation of the metabolism of lipids and amino acids. This study illustrated the high reliability of NMR-based metabonomic profiling on the study of the biochemical effects induced by the mixture of heavy metals. This approach is capable of identifying intermediate biomarkers of response to toxicants at environmental/occupational concentrations, paving the way to its use in a monitoring of smelter workers exposed to low doses of lead, cadmium and arsenic.
环境代谢组学是将代谢组学应用于描述生物体与环境相互作用的学科。代谢组学为发现新的疾病风险生物标志物和诊断方法,为流行病学家提供了一种令人兴奋的新方法。本研究是在一组 389 名接触铅、镉和砷的冶炼工人中寻找临床前血清标志物的研究的延续。使用质子核磁共振波谱法对来自金属暴露组和对照组的混合血清样本进行代谢轮廓分析。对多变量代谢组学数据集进行主成分分析和偏最小二乘判别分析。对接触重金属人群的代谢轮廓分析表明,重金属诱导的能量代谢紊乱。脂质部分(极低密度脂蛋白-VLDL、低密度脂蛋白-LDL)、不饱和脂质和氨基酸水平的变化表明脂质和氨基酸代谢受到干扰。本研究说明了基于 NMR 的代谢组学分析在研究重金属混合物引起的生化效应方面的高度可靠性。这种方法能够识别环境/职业浓度下有毒物质反应的中间生物标志物,为监测接触低剂量铅、镉和砷的冶炼工人开辟了道路。