Metabolomics of Fecal Extracts Detects Altered Metabolic Activity of Gut Microbiota in Ulcerative Colitis and Irritable Bowel Syndrome
Metabolomics of Fecal Extracts Detects Altered Metabolic Activity of Gut Microbiota in Ulcerative Colitis and Irritable Bowel Syndrome
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DOI：
10.1021/pr2003598
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发表时间：
2011-09-01
影响因子：
4.4
通讯作者：
Narbad, Arjan
中科院分区：
文献类型：
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作者：
Le Gall, Gwenaelle;Noor, Samah O.;Narbad, Arjan
水性粪便提取物的1H-1 NMR光谱已用于研究溃疡性结肠炎（UC）（n = 13）、肠易激综合征（IBS）（n = 10）和健康对照（C）（n = 22）患者中肠道微生物群代谢活性的差异。在2年内，每个个体最多收集4个样本，总共收集了124个样本。基于所有三组的NMR数据的多变量判别分析能够预测UC和C组成员资格，具有良好的灵敏度和特异性; IBS样本的分类不太成功，不能用于诊断。与对照组相比，UC中牛磺酸和尸胺水平升高，IBS中胆汁酸升高，支链脂肪酸降低;短链脂肪酸和氨基酸的变化不显著。先前对相同粪便材料的PCR-变性梯度凝胶电泳（PCR-DGGE）分析显示，当将UC和IBS组与对照组进行比较时，肠道微生物群发生了变化。层次聚类分析表明，DGGE谱从同一个人是稳定的，随着时间的推移，但NMR谱更多变;典型相关分析的NMR和DGGE数据部分分离的三个组，并揭示了肠道菌群的配置文件和代谢物组成之间的相关性。
H-1 NMR spectroscopy of aqueous fecal extracts has been used to investigate differences in metabolic activity of gut microbiota in patients with ulcerative colitis (UC) (n = 13), irritable bowel syndrome (IBS) (n = 10), and healthy controls (C) (n = 22). Up to four samples per individual were collected over 2 years giving a total of 124 samples. Multivariate discriminant analysis, based on NMR data from all three groups, was able to predict UC and C group membership with good sensitivity and specificity; classification of IBS samples was less successful and could not be used for diagnosis. Trends were detected toward increased taurine and cadaverine levels in UC with increased bile acid and decreased branched chain fatty acids in IBS relative to controls; changes in short chain fatty acids and amino acids were not significant. Previous PCR-denaturing gradient gel electrophoresis (PCR-DGGE) analysis of the same fecal material had shown alterations of the gut microbiota when comparing UC and IBS groups with controls. Hierarchical cluster analysis showed that DGGE profiles from the same individual were stable over time, but NMR spectra were more variable; canonical correlation analysis of NMR and DGGE data partly separated the three groups and revealed a correlation between the gut microbiota profile and metabolite composition.