Integrated multimodel analysis of intestinal inflammation exposes key molecular features of preclinical and clinical IBD.
Обработка статьи · этапы, ошибки и управление
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Gonzalez-Acera Miguel, Patankar Jay V, Erkert Lena, Cineus Roodline, Gamez-Belmonte Reyes, Leupold Tamara, Bubeck Marvin, Bao Li-Li, Dinkel Martin, Wang Ru, Schickedanz Laura, Limberger Heidi, Stolzer Iris, Gerlach Katharina, Diemand Leonard, Mascia Fabrizio, Gupta Pooja, Naschberger Elisabeth, Koop Kristina, Plattner Christina, Sturm Gregor, Weigmann Benno, Günther Claudia, Wirtz Stefan, Stürzl Michael, Hildner Kai, Kühl Anja A, Siegmund Britta, Gießl Andreas, Atreya Raja, TRR241 IBDome Consortium, Hegazy Ahmed N, Trajanoski Zlatko, Neurath Markus F, Becker Christoph
Аннотация
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.