Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome

• Published in: Cell Vol. 182; no. 6; pp. 1460 - 1473.e17
• Main Authors: Mars, Ruben A.T., Yang, Yi, Ward, Tonya, Houtti, Mo, Priya, Sambhawa, Lekatz, Heather R., Tang, Xiaojia, Sun, Zhifu, Kalari, Krishna R., Korem, Tal, Bhattarai, Yogesh, Zheng, Tenghao, Bar, Noam, Frost, Gary, Johnson, Abigail J., van Treuren, Will, Han, Shuo, Ordog, Tamas, Grover, Madhusudan, Sonnenburg, Justin, D’Amato, Mauro, Camilleri, Michael, Elinav, Eran, Segal, Eran, Blekhman, Ran, Farrugia, Gianrico, Swann, Jonathan R., Knights, Dan, Kashyap, Purna C.
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 17.09.2020
• Subjects: Animals; bile acids; Bile Acids and Salts - metabolism; biochemical pathways; Biopsy; Butyrates - metabolism; Chromatography, Liquid; Cross-Sectional Studies; diet; epigenome; Epigenomics; Feces - microbiology; Female; functional bowel disorders; Gastrointestinal Microbiome - genetics; Gastrointestinal Microbiome - physiology; gastrointestinal system; Gene Expression Regulation - genetics; Gene Expression Regulation - physiology; Host Microbial Interactions - genetics; Humans; Hypoxanthine - metabolism; intestinal microorganisms; irritable bowel syndrome; Irritable Bowel Syndrome - genetics; Irritable Bowel Syndrome - metabolism; Irritable Bowel Syndrome - microbiology; Longitudinal Studies; Male; metabolism; metabolites; metabolome; Metabolome - physiology; Mice; multiomics; nucleosides; Observational Studies as Topic; physiology; Prospective Studies; Purines - metabolism; secretion; short chain fatty acids; Software; symptom severity; Tandem Mass Spectrometry; therapeutics; transcriptome; Transcriptome - genetics; Transcriptome - physiology; symptom severity; nucleosides; secretion; bile acids; physiology; diet; functional bowel disorders; short chain fatty acids; short chain fatti acids
• ISSN: 0092-8674; 1097-4172; 1097-4172
• DOI: 10.1016/j.cell.2020.08.007

The gut microbiome has been implicated in multiple human chronic gastrointestinal (GI) disorders. Determining its mechanistic role in disease has been difficult due to apparent disconnects between animal and human studies and lack of an integrated multi-omics view of disease-specific physiological changes. We integrated longitudinal multi-omics data from the gut microbiome, metabolome, host epigenome, and transcriptome in the context of irritable bowel syndrome (IBS) host physiology. We identified IBS subtype-specific and symptom-related variation in microbial composition and function. A subset of identified changes in microbial metabolites correspond to host physiological mechanisms that are relevant to IBS. By integrating multiple data layers, we identified purine metabolism as a novel host-microbial metabolic pathway in IBS with translational potential. Our study highlights the importance of longitudinal sampling and integrating complementary multi-omics data to identify functional mechanisms that can serve as therapeutic targets in a comprehensive treatment strategy for chronic GI diseases. [Display omitted] [Display omitted] •Longitudinal sampling limits heterogeneity seen in cross-sectional microbiome studies•Alteration in the gut microbiome and microbial metabolites underlie IBS and symptom flares•Data integration reveals effect of microbial metabolites on gastrointestinal function•Purine starvation is identified as a possible therapeutic target in IBS Integrated and longitudinal multiomic analyses of patients with irritable bowel syndrome reveals a role for the gut microbiota in modulating purine metabolism and influencing host gastrointestinal function.