Waterman Daniel S, Bonner Frank W, Lindon John C
Metabometrix Ltd, Incubator, Prince Consort Road, London, SW7 2BP, UK.
Bioanalysis. 2009 Dec;1(9):1559-78. doi: 10.4155/bio.09.143.
Metabonomics is rapidly evolving through advances in analytical technologies together with the development of new hyphenated approaches that are increasingly being applied to analyze complex biological systems. Improvements in analytical performance, such as increased sensitivity and selectivity, are providing greater resolution to analytical datasets and the rich potential of metabonomics as a systems biology tool of choice is becoming clear. However, such improvements are resulting in datasets becoming increasingly demanding in terms of data handling and interpretation, and the degree to which metabonomics continues to develop will be dependent on how chemometrics and data-handling approaches keep pace with continually improving analytical technologies. This review provides an overview of the field of metabonomics, with a particular focus on the analytical techniques that are chiefly employed and the chemometric methods that have found most use. However, in addition, we mention less widely used analytical methods and suggest that advanced statistical methods will play a larger role in the future.
随着分析技术的进步以及越来越多地应用于分析复杂生物系统的新型联用方法的发展，代谢组学正在迅速发展。分析性能的提升，如灵敏度和选择性的提高，为分析数据集提供了更高的分辨率，代谢组学作为首选系统生物学工具的巨大潜力也日益显现。然而，这些改进使得数据集在数据处理和解释方面的要求越来越高，代谢组学持续发展的程度将取决于化学计量学和数据处理方法能否跟上不断改进的分析技术的步伐。本综述概述了代谢组学领域，特别关注主要采用的分析技术以及应用最为广泛的化学计量方法。此外，我们还提及了使用较少的分析方法，并指出先进的统计方法在未来将发挥更大的作用。
