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Updated: May 9, 2025

Investigating Intestinal Inflammation in DSS-induced Model of IBD
Published on: February 1, 2012
Integrated multimodel analysis of intestinal inflammation exposes key molecular features of preclinical and clinical
Miguel Gonzalez-Acera1,2, Jay V Patankar1,2, Lena Erkert1,2
1Department of Medicine 1, Friedrich-Alexander-Universität Erlangen-Nürnberg, Erlangen, Germany.
Background:
IBD is a chronic inflammatory condition driven by complex genetic and immune interactions, yet preclinical models often fail to fully recapitulate all aspects of the human disease. A systematic comparison of commonly used IBD models is essential to identify conserved molecular mechanisms and improve translational relevance.
Objective:
We performed a multimodel transcriptomic analysis of 13 widely used IBD mouse models to uncover coregulatory gene networks conserved between preclinical colitis/ileitis and human IBD and to define model-specific and conserved cellular, subcellular and molecular signatures.
Design:
We employed comparative transcriptomic analyses with curated and a priori statistical correlative methods between mouse models versus IBD patient datasets at both bulk and single-cell levels.
Results:
We identify IBD-related pathways, ontologies and cellular compositions that are translatable between mouse models and patient cohorts. We further describe a conserved core inflammatory signature of IBD-associated genes governing T-cell homing, innate immunity and epithelial barrier that translates into the new mouse gut Molecular Inflammation Score (mMIS). Moreover, specific mouse IBD models have distinct signatures for B-cell, T-cell and enteric neurons. We discover that transcriptomic relatedness of models is a function of the mode of induction, not the canonical immunotype (Th1/Th2/Th17). Moreover, the model compendium database is made available as a web explorer (http://trr241.hosting.rrze.uni-erlangen.de/SEPIA/).
Conclusion:
This integrated multimodel approach provides a framework for systematically assessing the molecular landscape of intestinal inflammation. Our findings reveal conserved inflammatory circuits, refine model selection, offering a valuable resource for the IBD research community.
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