ArticleJournal of Crohn's & colitis2025
Characterization of Inflammatory Bowel Disease Heterogeneity Using Serum Proteomics: A Multicenter Study.
Article in Journal of Crohn's & colitis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- Review
- Development and validation of a Bayesian network-based surgical risk-prediction tool for patients with small-bowel stricturing Crohn's disease.Gastroenterology report · 2026Article
- Plasma proteomic markers predict risk for bowel resection in inflammatory bowel disease: a retrospective cohort study.International journal of surgery (London, England) · 2026Article
- Serum immune profiling suggests overlap between IBD patients with joint complaints and patients with spondyloarthritis.Frontiers in immunology · 2026Article
- Interpretable machine learning applied to high-dimensional salivary proteomics accurately classifies pediatric inflammatory bowel diseases.medRxiv : the preprint server for health sciences · 2025Article
- Proteomics Approaches for Discovering Novel Protein Biomarkers in Inflammatory Bowel Disease-Related Cancer.Biomolecules · 2025Review
- Serum proteomic and metabolomic analyses from patients with IBD identify biological pathways associated with treatment success with anti-integrin therapy.Immunology and cell biology · 2025Article
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16 authors.
Funding
Abstract
backgroundRecent genetic and transcriptomic data highlight the need for improved molecular characterization of inflammatory bowel disease (IBD). Proteomics may advance the delineation of IBD phenotypes since it accounts for post-transcriptional modifications.
aimsWe aimed to assess the IBD spectrum based on inflammatory serum proteins and identify discriminative patterns of underlying biological subtypes across multiple European cohorts.
methodsUsing proximity extension methodology, we measured 86 inflammation-related serum proteins in 1551 IBD patients and 312 healthy controls (HC). We screened for proteins exhibiting significantly different levels among IBD subtypes and between IBD and HC. Classification models for differentiating between Crohn's disease (CD) and ulcerative colitis (UC) were employed to explore the IBD spectrum based on estimated probability scores.
resultsLevels of multiple proteins, such as interleukin-17A, matrix metalloproteinase-10, and fibroblast growth factor-19, differed (fold-change >1.2; false discovery rate <0.05) between ileal versus colonic IBD. Using multivariable models, a protein signature reflecting the IBD spectrum was identified, positioning colonic CD between UC and ileal CD, which were at opposite ends of the spectrum. Based on area under the curve (AUC) estimates, classification models more accurately differentiated UC from ileal CD (median AUCs > 0.73) than colonic CD (median AUCs < 0.62). Models differentiating colonic CD from ileal CD demonstrated intermediate performance (median AUCs: 0.67-0.69).
conclusionsOur findings in serum proteins support the presence of a continuous IBD spectrum rather than a clear separation of CD and UC. Within the spectrum, disease location may reflect a more similar disease than CD versus UC, as colonic CD resembled UC more closely than ileal CD.
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