组织靶向代谢组学的发展。第1部分。分析考量。
Development of tissue-targeted metabonomics. Part 1. Analytical considerations.
作者信息
Price Kristin E, Lunte Craig E, Larive Cynthia K
机构信息
Department of Chemistry, University of Kansas, Lawrence, KS 66045, USA.
出版信息
J Pharm Biomed Anal. 2008 Mar 13;46(4):737-47. doi: 10.1016/j.jpba.2007.11.035. Epub 2007 Nov 29.
Tissue-targeted metabonomics provides tissue specific metabolic information while still retaining the profiling approach of traditional metabonomics. Microdialysis sampling is used to generate site-specific samples of endogenous metabolites. The dialysate samples are subjected to proton NMR analysis with data analysis by principal components analysis and partial least squares regression. In this study, sample and data pretreatment methods were examined for their impact on the quality of the data analysis. Specifically, the effects of speed vacuuming, sample solubility, sample pH stability, and sample storage stability were examined. Data pretreatment methods examined included the effects of standardization and normalization to internal standards. In addition, the ability of tissue-targeted metabonomics to generate time trend data was explored and more fully characterized using principal components analysis and partial least squares regression.
组织靶向代谢组学提供了组织特异性的代谢信息，同时仍保留了传统代谢组学的分析方法。微透析采样用于生成内源性代谢物的位点特异性样本。透析液样本进行质子核磁共振分析，并通过主成分分析和偏最小二乘回归进行数据分析。在本研究中，考察了样本和数据预处理方法对数据分析质量的影响。具体而言，研究了快速真空浓缩、样品溶解度、样品pH稳定性和样品储存稳定性的影响。考察的数据预处理方法包括对内标进行标准化和归一化的影响。此外，利用主成分分析和偏最小二乘回归探索并更全面地表征了组织靶向代谢组学生成时间趋势数据的能力。
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