Integrated multimodel analysis of intestinal inflammation exposes key molecular features of preclinical and clinical IBD
Autor/innen
- Miguel Gonzalez-Acera
- Jay V. Patankar
- Lena Erkert
- Roodline Cineus
- Reyes Gamez-Belmonte
- Tamara Leupold
- Marvin Bubeck
- Li-Li Bao
- Martin Dinkel
- Ru Wang
- Laura Schickedanz
- Heidi Limberger
- Iris Stolzer
- Katharina Gerlach
- Leonard Diemand
- Fabrizio Mascia
- Pooja Gupta
- Elisabeth Naschberger
- Kristina Koop
- Christina Plattner
- Gregor Sturm
- Benno Weigmann
- Claudia Günther
- Stefan Wirtz
- Michael Stürzl
- Kai Hildner
- Anja A. Kühl
- Britta Siegmund
- Andreas Gießl
- Raja Atreya
- Ahmed N. Hegazy
- Zlatko Trajanoski
- Markus F. Neurath
- Christoph Becker
Journal
- Gut
Quellenangabe
- Gut 74 (10): 1602-1615
Zusammenfassung
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.