Biomolecular Medicine, Department of Surgery and Cancer, Faculty of Medicine, Imperial College London, Sir Alexander Fleming Building, South Kensington, London SW72AZ, UK.
Toxicology. 2010 Dec 30;278(3):326-40. doi: 10.1016/j.tox.2010.07.022. Epub 2010 Aug 10.
Metabonomics involves the application of advanced analytical tools to profile the diverse metabolic complement of a given biofluid or tissue. Subsequent statistical modelling of the complex multivariate spectral profiles enables discrimination between phenotypes of interest and identifies panels of discriminatory metabolites that represent candidate biomarkers. This review article presents an overview of recent developments in the field of metabonomics with a focus on application to pre-clinical toxicology studies. Recent research investigations carried out as part of the international COMET 2 consortium project on the hepatotoxic action of the aminosugar, galactosamine (galN) are presented. The application of advanced, high-field NMR spectroscopy is demonstrated, together with complementary application of a targeted mass spectrometry platform coupled with ultra-performance liquid chromatography. Much novel mechanistic information has been gleaned on both the mechanism of galN hepatotoxicity in multiple biofluids and tissues, and on the protection afforded by co-administration of glycine and uridine. The simultaneous identification of both the metabolic fate of galN and its associated endogenous consequences in spectral profiles is demonstrated. Furthermore, metabonomic assessment of inter-animal variability in response to galN presents enhanced mechanistic insight on variable response phentoypes and is relevant to understanding wider aspects of individual variability in drug response. This exemplar highlights the analytical and statistical tools commonly applied in metabonomic studies and notably, the approach is applicable to the study of any toxin/drug or intervention of interest. The metabonomic approach holds considerable promise and potential to significantly advance our understanding of the mechanistic bases for adverse drug reactions.
代谢组学涉及应用先进的分析工具来描绘特定生物流体或组织中多样化的代谢物组成。对复杂多维光谱谱图进行后续的统计建模,能够区分感兴趣的表型,并确定代表候选生物标志物的判别代谢物组。本文综述了代谢组学领域的最新进展,重点介绍了其在临床前毒理学研究中的应用。本文介绍了作为国际 COMET 2 联盟关于氨基糖半乳糖胺(galN)肝毒性作用研究项目的一部分,进行的最新研究调查。本文展示了高级、高场 NMR 光谱学的应用,以及与超高效液相色谱相结合的靶向质谱平台的互补应用。在多种生物流体和组织中,人们对 galN 肝毒性的作用机制以及甘氨酸和尿嘧啶联合给药所提供的保护作用,获得了许多新的机制信息。本文还证明了在光谱谱图中同时鉴定 galN 的代谢命运及其相关的内源性后果。此外,对 galN 反应中动物间变异性的代谢组学评估提供了对可变反应表型的更深入的机制见解,这对于理解药物反应中个体变异性的更广泛方面具有重要意义。这个范例突出了代谢组学研究中常用的分析和统计工具,特别是该方法适用于研究任何毒素/药物或感兴趣的干预措施。代谢组学方法具有很大的应用前景,有望大大提高我们对药物不良反应的机制基础的理解。