Network analysis of extraintestinal manifestations and associated autoimmune disorders in Crohn’s disease and ulcerative colitis

We detect and interactively visualize occurrence, frequency, sequence, and clustering of extraintestinal manifestations (EIM) and associated immune disorders (AID) in 30,334 inflammatory bowel disease (IBD) patients (Crohn's disease (CD) n = 15924, ulcerative colitis (UC) n = 11718, IBD unclassified, IBD-U n = 2692, 52% female, median age 40 years (IQR: 25)) with artificial intelligence (AI). 57% (CD > UC 60% vs. 54%, p < 0.00001) had one or more EIM and/or AID. Mental, musculoskeletal and genitourinary disorders were most frequently associated with IBD: 18% (CD vs. UC 19% vs. 16%, p < 0.00001), 17% (CD vs. UC 20% vs. 15%, p < 0.00001) and 11% (CD vs. UC 13% vs. 9%, p < 0.00001), respectively. AI detected 4 vs. 5 vs. 5 distinct EIM/AID communities with 420 vs. 396 vs. 467 nodes and 11,492 vs. 9116 vs. 16,807 edges (links) in CD vs. UC vs. IBD, respectively. Our newly developed interactive free web app shows previously unknown communities, relationships, and temporal patterns-the diseasome and interactome.

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Publication Details

Journal
npj Digital Medicine
Published
2025-04-15
DOI
https://doi.org/10.1038/s41746-025-01504-6
Citations
8
Primary Topic
Inflammatory Bowel Disease
Type
article
Field-Weighted Citation Impact
14.54

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article

Network analysis of extraintestinal manifestations and associated autoimmune disorders in Crohn’s disease and ulcerative colitis

Aldo J. Montaño‐Loza, Michael Parkes, Frank Hoentjen, Karen Wong et al.
8 citations
npj Digital Medicine
Inflammatory Bowel Disease
14.54
article

Network analysis of extraintestinal manifestations and associated autoimmune disorders in Crohn’s disease and ulcerative colitis

Aldo J. Montaño‐Loza, Michael Parkes, Frank Hoentjen, Karen Wong, Daniel Sadowski, Daniel C. Baumgart, Farhad Peerani, Eytan Wine, Sergio Zepeda-Gómez, Randolph Goebel, Brendan P. Halloran, J. Ross Mitchell, Tian X. Du, C.‐H. CHENG
article en
8 citations

Abstract

We detect and interactively visualize occurrence, frequency, sequence, and clustering of extraintestinal manifestations (EIM) and associated immune disorders (AID) in 30,334 inflammatory bowel disease (IBD) patients (Crohn's disease (CD) n = 15924, ulcerative colitis (UC) n = 11718, IBD unclassified, IBD-U n = 2692, 52% female, median age 40 years (IQR: 25)) with artificial intelligence (AI). 57% (CD > UC 60% vs. 54%, p < 0.00001) had one or more EIM and/or AID. Mental, musculoskeletal and genitourinary disorders were most frequently associated with IBD: 18% (CD vs. UC 19% vs. 16%, p < 0.00001), 17% (CD vs. UC 20% vs. 15%, p < 0.00001) and 11% (CD vs. UC 13% vs. 9%, p < 0.00001), respectively. AI detected 4 vs. 5 vs. 5 distinct EIM/AID communities with 420 vs. 396 vs. 467 nodes and 11,492 vs. 9116 vs. 16,807 edges (links) in CD vs. UC vs. IBD, respectively. Our newly developed interactive free web app shows previously unknown communities, relationships, and temporal patterns-the diseasome and interactome.

npj Digital MedicineVol. 8(1)
Alberta Health Services (CA), University of Alberta (CA), Humboldt-Universität zu Berlin (DE), Charité - Universitätsmedizin Berlin (DE)
Canadian Institute for Advanced Research, Alberta Machine Intelligence Institute, University of Alberta, Mitacs, Alberta Innovates, Canadian Institutes of Health Research, Natural Sciences and Engineering Research Council of Canada
Good health and well-being
Openalex Percentile: Top 1%
Inflammatory Bowel Disease
14.54
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