{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,3]],"date-time":"2026-10-03T22:18:31Z","timestamp":1791065911937,"version":"4.1.0"},"reference-count":25,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2013,3,21]],"date-time":"2013-03-21T00:00:00Z","timestamp":1363824000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/onlinelibrary.wiley.com\/termsAndConditions#vor"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["J of Digest Diseases"],"published-print":{"date-parts":[[2013,4]]},"abstract":"<jats:sec><jats:title>Objective<\/jats:title><jats:p>No distinctive biomarkers capable of discriminating between ulcerative colitis (UC) and Crohn's disease (CD) have yet been found. In this study, we aimed to discover these biomarkers by using advanced label\u2010free quantification technology for proteomes.<\/jats:p><\/jats:sec><jats:sec><jats:title>Methods<\/jats:title><jats:p>Biomarker protein expressions of colonic tissues of Korean IBD patients and controls were determined using label\u2010free quantification to compare the protein profiles of colonic mucosa in three individuals with normal colonic tissue, four patients with <jats:styled-content style=\"fixed-case\">UC<\/jats:styled-content>, three with <jats:styled-content style=\"fixed-case\">CD<\/jats:styled-content> and two with inflammatory polyps related to UC. A computational framework and tools for discovery\u2010based liquid chromatography\u2010tandem mass spectrometry proteomics was applied to draw the biomarkers.<\/jats:p><\/jats:sec><jats:sec><jats:title>Results<\/jats:title><jats:p>In total, 339 proteins were identified in normal sample group, 217 and 283 proteins in active and inactive <jats:styled-content style=\"fixed-case\">UC<\/jats:styled-content>, 345 and 366 proteins in active and inactive <jats:styled-content style=\"fixed-case\">CD<\/jats:styled-content> and 392 proteins in inflammatory polyps related to UC, respectively. The findings were reproducible. A Corra analysis led to the discovery of 27 potential biomarkers in <jats:styled-content style=\"fixed-case\">UC<\/jats:styled-content>, 37 biomarkers relevant to <jats:styled-content style=\"fixed-case\">CD<\/jats:styled-content> and 11 proteins commonly associated with <jats:styled-content style=\"fixed-case\">IBD<\/jats:styled-content>. Three novel proteins, <jats:styled-content style=\"fixed-case\">PRG<\/jats:styled-content>2, <jats:styled-content style=\"fixed-case\">LCP<\/jats:styled-content>1 and <jats:styled-content style=\"fixed-case\">PSME<\/jats:styled-content>1 were identified as biomarkers signifying active <jats:styled-content style=\"fixed-case\">CD<\/jats:styled-content>.<\/jats:p><\/jats:sec><jats:sec><jats:title>Conclusion<\/jats:title><jats:p>This is the first study to apply label\u2010free quantification for discovering biomarkers in patients with different types and stages of <jats:styled-content style=\"fixed-case\">IBD<\/jats:styled-content>, providing additional insights for revealing the molecular pathogenesis of <jats:styled-content style=\"fixed-case\">IBD<\/jats:styled-content> as well as protein biomarkers of <jats:styled-content style=\"fixed-case\">IBD<\/jats:styled-content> predicting responses to 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