Automated real-time imaging of intestinal barrier integrity and molecular profiling for early outcome prediction in inflammatory bowel disease: endo-histo-barrier-omics study

Simple item page
dc.contributor.authorIacucci, Marietta
dc.contributor.authorMajumder, Snehali
dc.contributor.authorZammarchi, Irene
dc.contributor.authorSantacroce, Giovanni
dc.contributor.authorCapobianco, Ivan
dc.contributor.authorPugliano, Cecilia L.
dc.contributor.authorChaudari, Ujwala
dc.contributor.authorEsbri, Pablo Meseguer
dc.contributor.authorHayes, Brian D.
dc.contributor.authorCrotty, Rory K.
dc.contributor.authorAburto, Maria Rodriguez
dc.contributor.authordel Amor, Maria Rocio
dc.contributor.authorKolawole, Bisi Bode
dc.contributor.authorEckenberger, Julia
dc.contributor.authorAmamou, Asma
dc.contributor.authorNaranjo, Valery
dc.contributor.authorGrisan, Enrico
dc.contributor.authorGhosh, Subrata
dc.contributor.funderUniversity College Corken
dc.date.accessioned2026-01-07T09:25:56Z
dc.date.available2026-01-07T09:25:56Z
dc.date.issued2025
dc.description.abstractBackground: Barrier healing is an emerging therapeutic target in inflammatory bowel disease (IBD), though its assessment remains challenging. We evaluated automated advanced imaging for real-time barrier assessment, its correlation with epithelial/vascular barrier markers, and ability to predict adverse outcomes. Methods: IBD patients and healthy controls undergoing endoscopic assessment were prospectively enrolled.The intestinal barrier was evaluated using ultra-high-magnification endocytoscopy and probe-based confocal laser endomicroscopy. Targeted biopsies were obtained from inflamed and non-inflamed segments. Epithelial and vascular barriers were assessed through automated multiplex immunofluorescence for Claudin-2, ZO-1, E-cadherin, PV-1, and CD31. Gene expression profiling was performed in epithelial and lamina propria compartments. Artificial intelligence (AI)-based analysis was employed for automated evaluation of barrier features captured by advanced imaging. Results: In total, 103 patients were included (38 ulcerative colitis [UC], 54 Crohn’s disease [CD], 11 healthy controls). Advanced imaging revealed barrier healing in 21% (8/38) of UC and 30% (16/54) of CD patients. In UC, Claudin-2 moderately correlated with abnormal crypt architecture (ρ=0.49), goblet cell depletion (ρ=0.5), and overall endocytoscopy activity (ρ=0.49). In CD, PV-1 moderately correlated with altered blood flow (ρ=0.41) and vessel architecture (ρ=0.40). An integrated assessment of advanced imaging, combined with Claudin-2 and PV-1 expression, effectively predicted adverse outcomes in UC and CD, respectively. AI tools accurately classified epithelial and vascular barrier features captured by advanced imaging. Finally, gene expression confirmed upregulation of Claudin-2 and PV-1 in IBD. Conclusion: Automated advanced imaging enables real-time barrier assessment in IBD and correlates with markers of epithelial and vascular barrier impairment. AI integration can enhance standardization toward broader clinical applicability. en
dc.description.statusPeer-revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleidjjaf200
dc.identifier.citationIacucci, M., Majumder, S., Zammarchi, I., Santacroce, G., Capobianco, I., Pugliano, C. L., Chaudari, U., Meseguer Esbri, P., Hayes, B., Crotty, R. and Aburto, M.R. (2025) 'Automated real-time imaging of intestinal barrier integrity and molecular profiling for early outcome prediction in inflammatory bowel disease: endo-histo-barrier-omics study', Journal of Crohn's and Colitis, 19(11), jjaf200 (11pp). https://doi.org/10.1093/ecco-jcc/jjaf200en
dc.identifier.doi10.1093/ecco-jcc/jjaf200
dc.identifier.endpage11
dc.identifier.issn18739946
dc.identifier.issued11
dc.identifier.journaltitleJournal of Crohn's and Colitisen
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/10468/18377
dc.identifier.volume19
dc.language.isoenen
dc.publisherOxford University Pressen
dc.rights© The Author(s), 2024. Published by Cambridge University Press. This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http:// creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly citeden
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.statusPeer revieweden
dc.subjectAdvanced imagingen
dc.subjectArtificial intelligenceen
dc.subjectBarrier impairmenten
dc.subjectClaudin-2en
dc.subjectGene expressionen
dc.subjectMultiplex immunofluorescenceen
dc.subjectPV-1en
dc.titleAutomated real-time imaging of intestinal barrier integrity and molecular profiling for early outcome prediction in inflammatory bowel disease: endo-histo-barrier-omics studyen
dc.typeArticle (peer-reviewed)en
Files
Original bundle
Now showing 1 - 2 of 2
Thumbnail Image
Name:
jjaf200.pdf
Size:
4.65 MB
Format:
Adobe Portable Document Format
Description:
Published Version
Download
Thumbnail Image
Name:
jjaf200_supplementary_data.zip
Size:
11.23 MB
Format:
http://www.iana.org/assignments/media-types/application/zip
Description:
Supplementary Data
Download
Collections
APC Microbiome Ireland - Journal Articles