National Center for Environmental Assessment, U.S. Environmental Protection Agency, Washington, DC 20460, USA.
Mutat Res. 2011 Jun 17;722(2):147-53. doi: 10.1016/j.mrgentox.2010.02.013. Epub 2010 Feb 25.
Both experimental animals and humans exhibit complex cellular responses upon exposure to xenobiotics and may undergo similar types of metabolic changes leading to adverse outcomes. Exposure to xenobiotics results in perturbation of many cellular events (e.g. oxidative stress, lipid peroxidation, inflammation, genotoxicity, cytotoxicity, etc.), and during this process biochemicals (endogenous metabolites) of a given metabolic pathway are increased, decreased or unaffected. Metabolomics is an emerging medium to high-throughput technology that can automatically identify, quantify and characterize hundreds to thousands of low molecular weight biochemicals simultaneously, using targeted or global analytical approaches, yielding a metabolic fingerprint and understanding of biochemical pathway perturbations. Herein, we illustrate how metabolomics can be utilized to explore the mechanisms of action of xenobiotics which affect different 'key events' contributing to different mode(s) of action. The extensively studied hepatotoxicant carbon tetrachloride (CCl(4)) is specifically described.
实验动物和人类在接触外源化学物后都会表现出复杂的细胞反应,并且可能经历相似的代谢变化,从而导致不良后果。接触外源化学物会扰乱许多细胞事件(例如氧化应激、脂质过氧化、炎症、遗传毒性、细胞毒性等),在此过程中,特定代谢途径的生物化学物质(内源性代谢物)会增加、减少或不受影响。代谢组学是一种新兴的中高通量技术,它可以使用靶向或全局分析方法,自动识别、定量和同时表征数百到数千种低分子量生物化学物质,从而生成代谢指纹图谱并了解生化途径的扰动。本文中,我们将举例说明代谢组学如何用于探索影响不同“关键事件”的外源化学物的作用机制,这些“关键事件”导致不同的作用模式。我们将特别描述广泛研究的肝毒物四氯化碳(CCl4)。