Identification of Gut Microbiota and Metabolites Signature in Patients With Irritable Bowel Syndrome
Identification of Gut Microbiota and Metabolites Signature in Patients With Irritable Bowel Syndrome
复制标题
肠易激综合征患者肠道微生物群和代谢物特征的鉴定
DOI：
10.3389/fcimb.2019.00346
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发表时间：
2019-10-18
影响因子：
5.7
通讯作者：
Zhang, Shutian
中科院分区：
文献类型：
--
作者：
Zhu, Shengtao;Liu, Si;Zhang, Shutian
背景和目的：肠易激综合征（IBS）是一种常见的功能性胃肠疾病。然而，IBS的潜在机制尚未完全了解。本研究的目的是通过代谢组学和微生物学特征的评估来研究IBS的潜在机制和新的生物标志物。方法：收集15例肠易激综合征患者和15例健康对照者的粪便标本。采用气相色谱-飞行时间质谱联用技术（GC-TOFMS）和16 S rDNA扩增子测序技术，对健康对照组和IBS患者的粪便代谢物和菌群进行了检测。结果如下：与健康对照相比，IBS患者具有显著差异的代谢物谱，并且与健康对照相比，具有31种代谢物的4个簇（包括一组氨基酸和脂肪酸）显著上调。此外，与健康对照组相比，IBS组中有19种微生物显著上调，12种微生物下调。粪便代谢物或微生物的一些簇与IBS症状的严重程度显著相关，例如腹痛/不适的频率和排便次数。代谢物水平与微生物属丰度的相关性显示了一些统计学显著的代谢物-微生物关联。四个差异丰富的氨基酸聚集在一起，正相关的一些微生物，包括毛螺菌，梭菌，等。结论：这项研究的发现提出了一个全球性的观点代谢组学和肠道菌群分析在IBS患者，并提供了理论基础，为今后的研究IBS的病理生理。
Background and Aims: Irritable bowel syndrome (IBS) is a common functional gastrointestinal disorder. However, the underlying mechanism of IBS is not fully understood. The aim of this study was to investigate potential mechanism and novel biomarkers of IBS through evaluation of the metabolomic and microbiologic profile. Methods: Fecal samples were collected from 15 irritable bowel syndrome patients and 15 healthy controls. By using gas chromatography coupled to time-of-flight mass spectrometry (GC-TOFMS) and 16S rDNA amplicon sequencing, fecal metabolites and microbiota of healthy controls and the IBS patients were measured. Results: IBS patients had a significantly differential metabolite profile as compared to healthy controls, and 4 clusters with 31 metabolites, including a group of amino acids and fatty acids, were significantly up-regulated as compared to the healthy controls. In addition, 19 microbes were significantly up-regulated, and 12 microbes were down-regulated in the IBS group, when compared with the healthy controls. Some clusters of fecal metabolites or microorganisms were significantly correlated with the severity of IBS symptoms, such as the frequency of abdominal pain/discomfort and the number of bowel movements. Correlation of the metabolite levels with abundances of microbial genera showed some statistically significant metabolite-microbe associations. Four differentially abundant amino acids clustered together were positively correlated with some microbes, including Lachnospira, Clostridium, and so on. Conclusion: The finding of this study puts a global perspective on metabolomics and microbiota profiling in IBS patients and provides a theoretical basis for future research on pathophysiology of IBS.