Dataset Information
Longitudinal multi-omics reveals subset-specific mechanisms underlying irritable bowel syndrome
Ontology highlight
ABSTRACT: 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. Linked cross omic data sets: Microbiome sequencing data associated with this study are available in the European Nucleotide Archive (ENA): accession number PRJEB37924 and PRJNA612180.
INSTRUMENT(S): Liquid Chromatography MS - negative - reverse phase, Nuclear Magnetic Resonance (NMR) -, Gas Chromatography MS - positive
SUBMITTER: Yi Yang
PROVIDER: MTBLS1396 | MetaboLights | 2020-09-08
REPOSITORIES: MetaboLights
Dataset's files
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Publications
Longitudinal Multi-omics Reveals Subset-Specific Mechanisms Underlying Irritable Bowel Syndrome.
Cell 20200910 6
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 identifi ...[more]
