A Jiye, Trygg Johan, Gullberg Jonas, Johansson Annika I, Jonsson Pär, Antti Henrik, Marklund Stefan L, Moritz Thomas
Department of Medical Biosciences, Clinical Chemistry, Umeå University, SE-90185, Umeå, Sweden, and Department of Clinical Pharmacology, the First Affiliated Hospital of Nanjing Medical University, 210029, Nanjing, China.
Anal Chem. 2005 Dec 15;77(24):8086-94. doi: 10.1021/ac051211v.
Analysis of the entire set of low molecular weight compounds (LMC), the metabolome, could provide deeper insights into mechanisms of disease and novel markers for diagnosis. In the investigation, we developed an extraction and derivatization protocol, using experimental design theory (design of experiment), for analyzing the human blood plasma metabolome by GC/MS. The protocol was optimized by evaluating the data for more than 500 resolved peaks using multivariate statistical tools including principal component analysis and partial least-squares projections to latent structures (PLS). The performance of five organic solvents (methanol, ethanol, acetonitrile, acetone, chloroform), singly and in combination, was investigated to optimize the LMC extraction. PLS analysis demonstrated that methanol extraction was particularly efficient and highly reproducible. The extraction and derivatization conditions were also optimized. Quantitative data for 32 endogenous compounds showed good precision and linearity. In addition, the determined amounts of eight selected compounds agreed well with analyses by independent methods in accredited laboratories, and most of the compounds could be detected at absolute levels of approximately 0.1 pmol injected, corresponding to plasma concentrations between 0.1 and 1 microM. The results suggest that the method could be usefully integrated into metabolomic studies for various purposes, e.g., for identifying biological markers related to diseases.
对整套低分子量化合物(LMC)即代谢组进行分析,可为疾病机制研究及新型诊断标志物提供更深入的见解。在本研究中,我们运用实验设计理论(实验设计)开发了一种提取和衍生化方案,用于通过气相色谱/质谱联用(GC/MS)分析人血浆代谢组。通过使用包括主成分分析和偏最小二乘判别分析(PLS)在内的多元统计工具,对500多个解析峰的数据进行评估,对该方案进行了优化。研究了五种有机溶剂(甲醇、乙醇、乙腈、丙酮、氯仿)单独使用及组合使用时的性能,以优化LMC的提取。PLS分析表明,甲醇提取特别有效且具有高度可重复性。还对提取和衍生化条件进行了优化。32种内源性化合物的定量数据显示出良好的精密度和线性。此外,所测定的8种选定化合物的含量与认可实验室采用独立方法的分析结果吻合良好,并且大多数化合物在进样绝对量约为0.1 pmol时即可检测到,这相当于血浆浓度在0.1至1 microM之间。结果表明,该方法可有效地整合到各种目的的代谢组学研究中,例如用于识别与疾病相关的生物标志物。