College of Pharmacy, Chung-Ang University, Seoul, Korea.
Department of Internal Medicine, College of Medicine, Chung-Ang University, Seoul, Korea.
Neurogastroenterol Motil. 2020 Jun;32(6):e13830. doi: 10.1111/nmo.13830. Epub 2020 Mar 3.
Gut microbiota are known to be closely related to irritable bowel syndrome (IBS). However, not much is known about characteristic fecal metabolic profiles of IBS. We aimed to characterize fecal metabolites in patients with IBS with predominant diarrhea (IBS-D) using H-nuclear magnetic resonance ( H-NMR) spectroscopy.
In this study, we enrolled 29 patients diagnosed with IBS-D according to the Rome IV criteria, 22 healthy controls (HC) and 11 HC administered laxatives (HC-L) in the age group of 20-69 year. The usual diet of the patients and HC was maintained, their fecal samples were collected and investigated by NMR-based global metabolic profiling coupled with multivariate statistical analysis.
We detected 55 metabolites in H-NMR spectra of fecal samples: four amines, 16 amino acids, six fatty acids, eight organic acids, three sugars, and 18 other compounds. Orthogonal partial least square-discriminant analysis derived score plots showed clear separation between the IBS-D group and the HC and HC-L groups. Among the 55 metabolites identified, we found five disease-relevant potential biomarkers distinguishing the IBS-D from the HC, namely, cadaverine, putrescine, threonine, tryptophan, and phenylalanine.
The patients with IBS-D were clearly differentiated from the HC and HC-L by fecal metabolite analysis using H-NMR spectroscopy, and five fecal metabolites characteristic of IBS-D were found. The findings of this study could be used to develop alternative and complementary diagnostic methods and as a source of fundamental information for developing novel therapies for IBS-D.
已知肠道微生物群与肠易激综合征(IBS)密切相关。然而,关于 IBS 的特征粪便代谢谱知之甚少。我们旨在使用 H-核磁共振(H-NMR)光谱对以腹泻为主的 IBS(IBS-D)患者的粪便代谢物进行特征描述。
在这项研究中,我们根据罗马 IV 标准纳入了 29 名诊断为 IBS-D 的患者、22 名健康对照者(HC)和 11 名接受泻药的 HC(HC-L),年龄在 20-69 岁之间。患者和 HC 保持常规饮食,收集他们的粪便样本并通过基于 NMR 的全局代谢谱分析结合多变量统计分析进行研究。
我们在粪便 H-NMR 光谱中检测到 55 种代谢物:四种胺、16 种氨基酸、六种脂肪酸、八种有机酸、三种糖和 18 种其他化合物。正交偏最小二乘判别分析衍生的得分图显示 IBS-D 组与 HC 和 HC-L 组之间的明显分离。在鉴定的 55 种代谢物中,我们发现了 5 种与疾病相关的潜在生物标志物,可将 IBS-D 与 HC 区分开来,即尸胺、腐胺、苏氨酸、色氨酸和苯丙氨酸。
通过使用 H-NMR 光谱对粪便代谢物进行分析,IBS-D 患者与 HC 和 HC-L 明显区分开来,并发现了 5 种 IBS-D 特征性的粪便代谢物。本研究的结果可用于开发替代和补充性诊断方法,并为开发 IBS-D 的新型治疗方法提供基础信息来源。