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Development of a Quantitative Metabolomic Approach to Study Clinical Human Fecal Water Metabolome Based on Trimethylsilylation Derivatization and GC/MS Analysis

机译:基于三甲基甲硅烷基化衍生化和GC / MS分析的定量代谢组学方法研究临床人类粪便水代谢组的开发

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Metabolomic analysis of human fecal water recently aroused increasing attention with the importance of fecal metabolome in exploring the relationships between symbiotic gut microflora and human health. In this study, we developed a quantitative metabolomic method for human fecal water based on trimethylsilylation derivatization and GC/MS analysis. Methanol was found to be the best solvent for protein precipitation and extraction of fecal water metabolome. Within the optimized linear range of sampling volume (less than 50 (mu)L), compounds showed a good linearity with a correlation coefficient higher than 0.99. The developed method showed good repeatability for both sample preparation and GC/MS analysis with the relative standard deviations lower than 10percent for most compounds and less than 20percent for a few other ones. The method was further validated by studying analytical variability using a set of clinical samples as well as a pooled sample. The pH value and matrix effects were the main factors affecting the accuracy of quantitative calibration curves. The increased pH value decreased the loss of short chain fatty acids during lyophilization. Spiking fecal water to a standard mixture significantly enhanced the accuracy of quantitative calibration curves, probably due to the inhibition of volatile loss during lyophilization and the increase of compound solubility in the derivatization medium. A strategy for calibration curve preparation was proposed in order to avoid the effects of pH and matrix. Totally, 133 compounds were structurally confirmed from a set of clinical samples, and 33 of them were quantified, which demonstrates the suitability of this method for a quantitative metabolomic study of human fecal water samples.
机译:人类粪便水的代谢组学分析近来引起了人们越来越多的关注,即粪便代谢组在探索共生肠道菌群与人类健康之间关系方面的重要性。在这项研究中,我们开发了一种基于三甲基甲硅烷基化衍生化和GC / MS分析的人类粪便水定量代谢组学方法。发现甲醇是沉淀和提取粪便水代谢组蛋白的最佳溶剂。在最佳的采样体积线性范围内(小于50μL),化合物显示出良好的线性,相关系数高于0.99。所开发的方法对于样品制备和GC / MS分析均显示出良好的可重复性,大多数化合物的相对标准偏差均低于10%,而其他一些化合物的相对标准偏差均低于20%。通过使用一组临床样本以及合并样本研究分析变异性,进一步验证了该方法。 pH值和基质效应是影响定量校准曲线准确性的主要因素。 pH值的增加减少了冻干过程中短链脂肪酸的损失。将粪便水加标样混合物可显着提高定量校准曲线的准确性,这可能是由于抑制了冻干过程中的挥发损失以及化合物在衍生化培养基中的溶解度增加。为了避免pH值和基质的影响,提出了一种校正曲线的制备策略。总共从一组临床样品中确认了133种化合物的结构,并对其中33种进行了定量,这表明该方法适用于人类粪便水样品的定量代谢组学研究。

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