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Stool multi-omics for the study of host-microbe interactions in inflammatory bowel disease.

Consuelo SaucedaCharlie BayneKhadijeh SudqiAntonio GonzalezParambir S DulaiRob KnightDavid J GonzalezCarlos G Gonzalez
Published in: Gut microbes (2022)
Inflammatory Bowel Disease (IBD) is a chronic immune-mediated inflammatory disease of the gastrointestinal tract that is a growing public burden. Gut microbes and their interactions with hosts play a crucial role in disease pathogenesis and progression. These interactions are complex, spanning multiple physiological systems and data types, making comprehensive disease assessment difficult, and often overwhelming single-omic capabilities. Stool-based multi-omics is a promising approach for characterizing host-gut microbiome interactions using deep integration of technologies such as 16S rRNA sequencing, shotgun metagenomics, meta-transcriptomics, metabolomics, and metaproteomics. The wealth of information generated through multi-omic studies is poised to usher in advancements in IBD research and precision medicine. This review highlights historical and recent findings from stool-based muti-omic studies that have contributed to unraveling IBD's complexity. Finally, we discuss common pitfalls, issues, and limitations, and how future pipelines should address them to standardize multi-omics in IBD research and beyond.
Keyphrases
  • single cell
  • ulcerative colitis
  • healthcare
  • machine learning
  • case control
  • current status
  • big data
  • risk factors
  • artificial intelligence