Original Research ARTICLE
Multi-omics analysis of gut microbiota and metabolites in rats with irritable bowel syndrome
- 1Department of Gastroenterology, Beijing Friendship Hospital, China
- 2National Clinical Research Center for Digestive Diseases, Beijing Friendship Hospital, China
- 3Beijing Digestive Disease Center, China
- 4Beijing Key Laboratory of Precancerous Lesions of Digestive Diseases, Capital Medical University, China
- 5National Clinical Research Center for Digestive Diseases, China
- 6China-Japan Friendship Hospital, China
- 7Key Laboratory of Bioinformatics, Ministry of Education, China
- 8Department of Automation, Tsinghua University, China
Irritable bowel syndrome (IBS) is a common gastrointestinal dysfunctional disease. The pathophysiology of IBS is, however, largely unknown. This study aimed to determine whether evaluation of fecal metabolite and microbiota profiles may offer an opportunity to identify a novel pathophysiological target for IBS, and to reveal possible gut microbe–metabolite associations. By using gas chromatography coupled to time-of-flight mass spectrometry (GC-TOFMS) and 16S rRNA gene sequencing, we measured fecal metabolites and microbiota of the control and water avoidance stress (WAS)-induced IBS rats. We found a significantly differential metabolite profile between the IBS and control groups; a cluster of metabolites was also found to be significantly associated with the amount of defecations. Moreover, the WAS group exhibited a decreased alpha diversity of the microbial population as compared to the control group. However, the characteristics of gut microbiota could not differentiate the IBS group from the control group. Correlation of the metabolite level with the number of microbial genera showed no significant association between the control and IBS groups. This study provides a global perspective on metabolomics and microbiota profiling in WAS-induced IBS model and a theoretical basis for research on the pathophysiology of IBS.
Keywords: Irritable bowel syndrome (IBS), water‑avoidance stress (WAS), Fecal metabolomics profiling, Correlation analysis, 16S rRNA gene sequencing
Received: 02 Feb 2019;
Accepted: 09 May 2019.
Edited by:Frederic A. Carvalho, INSERM U1107 Douleur et Biophysique Neurosensorielle (Neuro-Dol), France
Reviewed by:Romain Villéger, University of Auvergne, France
Jan Gunnar Hatlebakk, University of Bergen, Norway
Copyright: © 2019 Zhu, Liu, Si, Yu, Zhao, Chen, Zhao, Zhang, Li, Chen, Min and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dr. Shengtao Zhu, Department of Gastroenterology, Beijing Friendship Hospital, Beijing, China, firstname.lastname@example.org