Viant Mark R
School of Biosciences, University of Birmingham, UK.
Methods Mol Biol. 2007;358:229-46. doi: 10.1007/978-1-59745-244-1_13.
The measurement of tissue-specific metabolic fingerprints can be of particular interest when investigating disease processes, mechanisms of toxicity, or when knowledge of the metabolic interactions between different organs is required. This chapter presents several optimized protocols for the extraction of metabolites from animal tissues, their analysis by 1H nuclear magnetic resonance (NMR) spectroscopy, and the subsequent spectral preprocessing required for an NMR-based metabolomics experiment. First, the three critical steps in the preparation of tissue extracts for NMR analysis are described, including both a perchloric acid protocol for the extraction of polar metabolites, and a methanol:chloroform protocol for extraction of polar and lipophilic metabolites. Then a series of NMR experiments are described including a standard one-dimensional (1D) 1H NMR study, a 1D 1H Carr-Purcell-Meiboom-Gill spin-echo experiment, and a two-dimensional 1H-1H J-resolved NMR experiment. The advantages and limitations of each experiment for metabolomics research are discussed. Analysis of the resulting NMR datasets is typically conducted in two phases comprising "low level" spectral preprocessing and "high level" multivariate analysis. NMR spectral preprocessing is a critical step that converts raw NMR spectra into an appropriate data format for multivariate analysis. A detailed protocol for preprocessing NMR data, using ProMetab software, is presented. Because a plethora of algorithms exist for multivariate analyses, which can be used to construct classification models or for biomarker discovery, this is beyond the scope of the current chapter.
在研究疾病过程、毒性机制或需要了解不同器官之间的代谢相互作用时,组织特异性代谢指纹的测量可能会特别受关注。本章介绍了几种从动物组织中提取代谢物的优化方案、通过1H核磁共振(NMR)光谱进行分析以及基于NMR的代谢组学实验所需的后续光谱预处理。首先,描述了用于NMR分析的组织提取物制备中的三个关键步骤,包括用于提取极性代谢物的高氯酸方案以及用于提取极性和亲脂性代谢物的甲醇:氯仿方案。然后描述了一系列NMR实验,包括标准的一维(1D)1H NMR研究、1D 1H Carr-Purcell-Meiboom-Gill自旋回波实验和二维1H-1H J分辨NMR实验。讨论了每个实验在代谢组学研究中的优点和局限性。所得NMR数据集的分析通常分两个阶段进行,包括“低级”光谱预处理和“高级”多变量分析。NMR光谱预处理是将原始NMR光谱转换为适合多变量分析的数据格式的关键步骤。介绍了使用ProMetab软件预处理NMR数据的详细方案。由于存在大量可用于构建分类模型或发现生物标志物的多变量分析算法,这超出了本章的范围。