Dynamic changes in serum gelsolin combined with clinical parameters to construct a predictive model for mucosal healing in inflammatory bowel disease: A prospective cohort study

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Authors: Ying Zhang, Qin Zhao, Jingcheng Miao, Jianjun Tu, Pengfei Wang, Anquan Li, J N Li
Cited by: 1
References: 32

Abstract

Mucosal healing represents a critical therapeutic endpoint in inflammatory bowel disease (IBD), yet reliable noninvasive predictive biomarkers remain limited. Serum gelsolin (GSN) has emerged as a potential inflammatory biomarker, but its dynamic changes and predictive value for mucosal healing have not been systematically investigated. This study aimed to develop and internally validate a predictive model integrating dynamic GSN changes with clinical parameters for forecasting 6-month mucosal healing in IBD patients. We enrolled 298 IBD patients (182 Crohn disease, 116 ulcerative colitis) from a tertiary referral center and collected baseline and 6-month follow-up data including serum GSN levels, endoscopic scores, and clinical parameters. The primary endpoint was mucosal healing at 6 months (Mayo endoscopic score ≤1 or SES-CD

Fields of Study & Subjects

Inflammatory Bowel Disease Gut microbiota and health Therapeutic Uses of Natural Elements

Publication details

Journal / source
Medicine
Publisher
Ovid Technologies (Wolters Kluwer Health)
Volume
105
Issue
20
Pages
e48832–e48832
Publication date
15 May 2026
Language
EN