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Updated: Aug 17, 2025

Investigating Intestinal Inflammation in DSS-induced Model of IBD
Published on: February 1, 2012
Stool multi-omics for the study of host-microbe interactions in inflammatory bowel disease
Consuelo Sauceda1,2,3, Charlie Bayne1,2,3, Khadijeh Sudqi1,2,3,4,5,6
1Department of Pharmacology, University of California San Diego, La Jolla, CA, USA.
Abstract:
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.
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