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.


DOI

doi:10.1136/gutjnl-2024-333729