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Endocytoscopy with automated multispectral intestinal barrier pathology imaging for assessment of deep healing to predict outcomes in ulcerative colitis

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posted on 2024-09-26, 09:44 authored by Snehali Majumder, Giovanni Santacroce, Yasuharu Maeda, Irene Zammarchi, Miguel Puga-Tejada, Ilaria Ditonno, Brian Hayes, Rory Crotty, Eanna FennellEanna Fennell, Uday N. Shivaji, Zainab Abdawn,, Rahul Hejmadi, Tommaso Lorenzo Parigi, Olga Maria Nardone, Paul MurrayPaul Murray, Louise Burke, Subrata Ghosh, Marietta lacucci

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.

History

Publication

Gut, 2024,73, pp.1603-1606

Publisher

BMJ Publishing

Other 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

Also affiliated with

  • Health Research Institute (HRI)

Department or School

  • School of Medicine

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