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Endocytoscopy with automated multispectral intestinal barrier pathology imaging for assessment of deep healing to predict outcomes in ulcerative colitis
Majumder, Snehali; Santacroce, Giovanni; Maeda, Yasuharu; Zammarchi, Irene; Puga-Tejada, Miguel; Ditonno, Ilaria; Hayes, Brian; Crotty, Rory; Fennell, Eanna; Shivaji, Uday N.; Abdawn, Zainab; Hejmadi, Rahul; Lorenzo Parigi, Tommaso; Nardone, Olga Maria; Murray, Paul; Burke, Louise; Ghosh, Subrata; lacucci, Marietta
Date
2024
Abstract
MESSAGE Barrier healing represents a novel therapeutic target in ulcerative colitis (UC), although its assessment remains challenging and lacks standardisation. This exploratory study evaluates the ability of ultra-high magnification endocytoscopy to guide tissue sampling and drive automated quantification of tight junction (TJ) proteins to assess intestinal barrier integrity and predict major adverse outcomes (MAOs). 34 UC patients in clinical remission prospectively underwent assessment with endocytoscopy and machine learning-enabled intestinal barrier protein evaluation. The combination of endocytoscopy with Claudin-2 expression showed promise in accurately predicting MAOs over 12 months. This integrative approach holds promise in identifying deep healing and enhancing treat-to-target strategy in UC.
Supervisor
Description
Publisher
BMJ Publishing
Citation
Gut, 2024,73, pp.1603-1606
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Funding code
Funding Information
Startup funds to MI from University College Cork (UCC), Ireland and the NIHR Birmingham Biomedical Research Centre funds to MI at the University Hospitals Birmingham NHS Foundation Trust and the University of Birmingham
Sustainable Development Goals
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Type
Article
Rights
https://creativecommons.org/licenses/by-nc-sa/4.0/