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

Area of Science:

• Gastroenterology
• Microbiome Research
• Systems Biology

Background:

• The gut microbiome's role in chronic gastrointestinal (GI) disorders like irritable bowel syndrome (IBS) is recognized, but mechanistic understanding is limited.
• Challenges include discrepancies between animal and human studies and a lack of integrated multi-omics data.
• Understanding disease-specific physiological changes requires a holistic approach.

Purpose of the Study:

• To integrate longitudinal multi-omics data (microbiome, metabolome, epigenome, transcriptome) in IBS patients.
• To identify IBS subtype-specific and symptom-related variations in microbial and host physiology.
• To uncover novel host-microbial metabolic pathways with therapeutic potential in IBS.

Main Methods:

• Longitudinal multi-omics data integration from gut microbiome, metabolome, host epigenome, and transcriptome.
• Analysis of microbial composition, function, and metabolite variations.
• Correlation of microbial changes with host physiological mechanisms relevant to IBS.

Main Results:

• Identified IBS subtype-specific and symptom-related variations in gut microbial composition and function.
• Linked specific microbial metabolites to host physiological mechanisms pertinent to IBS.
• Discovered purine metabolism as a novel host-microbial pathway implicated in IBS.

Conclusions:

• Integrated multi-omics data and longitudinal sampling are crucial for uncovering functional mechanisms in chronic GI diseases.
• The identified purine metabolism pathway presents a potential therapeutic target for IBS.
• This approach can inform comprehensive treatment strategies for chronic GI disorders.