School of Pharmacy, College of Medicine , National Taiwan University , Taipei City , Taiwan.
The Metabolomics Core Laboratory, Center of Genomic Medicine , National Taiwan University , Taipei City , Taiwan.
J Proteome Res. 2019 May 3;18(5):1948-1957. doi: 10.1021/acs.jproteome.8b00536. Epub 2019 Apr 1.
The gut microbiota has attracted a great deal of interest in recent years due to its association with many diseases. Short-chain fatty acids (SCFAs), the end products of dietary fiber fermentation by the intestinal microbiota, are among the most frequently discussed gut metabolites. As the sample handling method greatly affects the integrity of data, this study investigated the most important parameters that affect the bias of SCFA comparisons in human fecal studies. An accurate gas chromatography-mass spectrometry (GC-MS) method was first established and validated for quantifying six SCFAs, including acetic, propionic, butyric, isobutyric, isovaleric, and valeric acids. To remove interfering species, we used butanol to extract SCFAs from acidified fecal suspensions. The validated quantification method was then applied to evaluate fecal sample handling protocols. We found that lyophilization of fecal samples can not only minimize bias due to the water content but also provide better stability of SCFAs. Six SCFAs were stable and that their recoveries were higher than 90% after lyophilization. Lyophilization of a large fecal sample is extremely time-consuming, and 1 g of fecal sample is suggested for lyophilization to minimize sampling bias. The interindividual difference was significantly higher than the intra-individual difference when using 1 g of fecal sample to study SCFAs. Finally, an effective protocol from sample collection to GC-MS analysis was proposed. As SCFAs have been shown to play an important role in health maintenance and disease development, the proposed protocol is anticipated to be applicable to clinical studies to delineate the biological functions of each SCFA.
近年来,肠道微生物群因其与许多疾病的关联而引起了极大的关注。短链脂肪酸(SCFAs)是肠道微生物群发酵膳食纤维的终产物,是讨论最多的肠道代谢物之一。由于样品处理方法对数据的完整性有很大影响,本研究探讨了影响人类粪便研究中 SCFA 比较偏差的最重要参数。首先建立并验证了一种准确的气相色谱-质谱(GC-MS)方法,用于定量六种 SCFA,包括乙酸、丙酸、丁酸、异丁酸、异戊酸和戊酸。为了去除干扰物质,我们使用正丁醇从酸化的粪便悬浮液中提取 SCFA。然后将验证的定量方法应用于评估粪便样品处理方案。我们发现粪便样品的冻干不仅可以最大限度地减少水分含量引起的偏差,还可以提供更好的 SCFA 稳定性。六种 SCFA 稳定,冻干后回收率高于 90%。冻干大量粪便样品非常耗时,建议冻干 1 克粪便样品以最小化采样偏差。使用 1 克粪便样品研究 SCFA 时,个体间差异明显高于个体内差异。最后,提出了从样品采集到 GC-MS 分析的有效方案。由于 SCFAs 已被证明在维持健康和疾病发展中发挥重要作用,因此预计该方案适用于临床研究,以阐明每种 SCFA 的生物学功能。