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bioRxiv · 10.1101/2025.03.26.645544

IBDome: An integrated molecular, histopathological, and clinical atlas of inflammatory bowel diseases

Abstract

Multi-omic and multimodal datasets with detailed clinical annotations offer significant potential to advance our understanding of inflammatory bowel diseases (IBD), refine diagnostics, and enable personalized therapeutic strategies. In this multi-cohort study, we performed an extensive multi-omic and multimodal analysis of 1,002 clinically annotated patients with IBD and non-IBD controls, incorporating whole-exome and RNA sequencing of normal and inflamed gut tissues, serum proteomics, and histopathological assessments from images of H&E-stained tissue sections. Transcriptomic profiles of normal and inflamed tissues revealed distinct site-specific inflammatory signatures in Crohns disease (CD) and ulcerative colitis (UC). Leveraging serum proteomics, we developed an inflammatory protein severity signature that reflects underlying intestinal molecular inflammation. Furthermore, foundation model-based deep learning accurately predicted histologic disease activity scores from images of H&E-stained intestinal tissue sections, offering a robust tool for clinical evaluation. Our integrative analysis highlights the potential of combining multi-omics and advanced computational approaches to improve our understanding and management of IBD.

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Plattner, C., Sturm, G., Kuehl, A. A., Atreya, R., Carollo, S., Gronauer, R., Rieder, D., Guenther, M., Ormanns, S., Manzl, C., Meneghetti, A. R., Hegazy, A., Patankar, J., Carrero, Z. I., TRR241 IBDome Consortium,, Neurath, M. F., Kather, J. N., Becker, C., Siegmund, B., Trajanoski, Z.. 2025-03-26. IBDome: An integrated molecular, histopathological, and clinical atlas of inflammatory bowel diseases. https://doi.org/10.1101/2025.03.26.645544

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