Zhang Tong, Watson David G
Strathclyde Institute of Pharmacy and Biomedical Sciences, University of Strathclyde, 161 Cathedral Street, Glasgow, G4 0RE, UK.
Analyst. 2015 May 7;140(9):2907-15. doi: 10.1039/c4an02294g. Epub 2015 Mar 10.
The applications of metabolomics as a methodology for providing better treatment and understanding human disease continue to expand rapidly. In this review, covering the last two years, the focus is on liquid chromatography-mass spectrometry (LC-MS) profiling of metabolites in urine. In LC-MS based metabolomics there are still problems with regard to: chromatographic separation, peak picking and alignment, metabolite identification, metabolite coverage, instrument sensitivity and data interpretation and in the case of urine sample normalisation. Progress has been made with regard to all of these issues during the period of the review. Of particular interest are the increasing use of orthogonal chromatographic methods for optimal metabolite coverage and the increasing adoption of receiver operator characteristic (ROC) curves for biomarker validation.
代谢组学作为一种用于提供更好治疗和理解人类疾病的方法,其应用正在迅速持续扩展。在这篇涵盖过去两年的综述中,重点是尿液中代谢物的液相色谱 - 质谱(LC-MS)分析。在基于LC-MS的代谢组学中,仍然存在以下方面的问题:色谱分离、峰检测与校准、代谢物鉴定、代谢物覆盖范围、仪器灵敏度以及数据解释,还有尿液样本归一化的问题。在综述期间,所有这些问题都取得了进展。特别值得关注的是,越来越多地使用正交色谱方法以实现最佳代谢物覆盖范围,以及越来越多地采用受试者工作特征(ROC)曲线进行生物标志物验证。