转录组
生物
计算生物学
先天免疫系统
炎症性肠病
疾病
生物信息学
免疫系统
免疫学
基因
遗传学
医学
基因表达
病理
作者
Miguel González-Acera,Jay V. Patankar,Lena Erkert,Roodline Cineus,Reyes Gámez‐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
出处
期刊:Gut
[BMJ]
日期:2025-04-29
卷期号:74 (10): 1602-1615
被引量:8
标识
DOI:10.1136/gutjnl-2024-333729
摘要
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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