Clinical Biomarkers Laboratory, Department of Medicine, Emory University, Atlanta, GA 30322, USA.
Toxicology. 2012 May 16;295(1-3):47-55. doi: 10.1016/j.tox.2012.02.007. Epub 2012 Mar 1.
High-performance metabolic profiling (HPMP) by Fourier-transform mass spectrometry coupled to liquid chromatography gives relative quantification of thousands of chemicals in biologic samples but has had little development for use in toxicology research. In principle, the approach could be useful to detect complex metabolic response patterns to toxicologic exposures and to detect unusual abundances or patterns of potentially toxic chemicals. As an initial study to develop these possible uses, we applied HPMP and bioinformatics analysis to plasma of humans, rhesus macaques, marmosets, pigs, sheep, rats and mice to determine: (1) whether more chemicals are detected in humans living in a less controlled environment than captive species and (2) whether a subset of plasma chemicals with similar inter-species and intra-species variation could be identified for use in comparative toxicology. Results show that the number of chemicals detected was similar in humans (3221) and other species (range 2537-3373). Metabolite patterns were most similar within species and separated samples according to family and order. A total of 1485 chemicals were common to all species; 37% of these matched chemicals in human metabolomic databases and included chemicals in 137 out of 146 human metabolic pathways. Probability-based modularity clustering separated 644 chemicals, including many endogenous metabolites, with inter-species variation similar to intra-species variation. The remaining chemicals had greater inter-species variation and included environmental chemicals as well as GSH and methionine. Together, the data suggest that HPMP provides a platform that can be useful within human populations and controlled animal studies to simultaneously evaluate environmental exposures and biological responses to such exposures.
基于傅里叶变换质谱联用液相色谱的高通量代谢组学(HPMP)能够对生物样本中的数千种化学物质进行相对定量,但在毒理学研究中应用甚少。从理论上讲,该方法可用于检测复杂的代谢反应模式,以发现对毒理学暴露的反应,并检测潜在毒性化学物质的异常丰度或模式。作为开发这些潜在用途的初步研究,我们应用 HPMP 和生物信息学分析方法,对来自人类、恒河猴、狨猴、猪、绵羊、大鼠和小鼠的血浆进行分析,以确定:(1)在人为环境下生活的人比圈养动物会检测到更多的化学物质;(2)是否可以确定一组具有相似种间和种内变异的血浆化学物质,用于比较毒理学研究。结果表明,在人类(3221 种)和其他物种(范围 2537-3373 种)中检测到的化学物质数量相似。种内代谢物模式最相似,而不同物种的样品则根据科和目进行分离。共有 1485 种化学物质存在于所有物种中;其中 37%与人类代谢组数据库中的化学物质相匹配,包括 146 个人类代谢途径中的 137 种化学物质。基于概率的模块化聚类分离出 644 种化学物质,包括许多内源性代谢物,其种间变异与种内变异相似。其余化学物质的种间变异较大,包括环境化学物质以及谷胱甘肽和蛋氨酸。综上所述,这些数据表明,HPMP 提供了一个平台,可在人类群体和受控动物研究中用于同时评估环境暴露和对这些暴露的生物反应。