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Inflammatory Bowel Disease (IBD), encompassing Ulcerative Colitis (UC) and Crohn's Disease (CD), significantly impairs patients' quality of life. Current monitoring of disease activity primarily relies on endoscopy combined with histological examination, which is associated with high costs, invasiveness, poor patient tolerance, and risks of complications. Additionally, disease activity indices and laboratory-based IBD staging metrics demonstrate limited utility and accuracy in clinical practice. This study aims to investigate the correlation between polyamine levels and their key enzymes in the polyamine metabolism pathway with IBD activity, thereby establishing a predictive model for IBD progression through polyamine and metabolite measurements; to estimate the efficacy of biologics via polyamine detection, providing a scientific basis for therapeutic selection; and to screen gut microbiota associated with polyamine metabolic alterations, offering evidence-based guidance for probiotic selection in IBD patients.
Full description
According to the inclusion and exclusion criteria, 91 patients with IBD diagnosed in the Department of Gastroenterology, the First Affiliated Hospital of Air Force Medical University from November 2024 to September 2025 were included, and the subjects were divided into remission group and active group according to the corresponding IBD scale scores; 46 healthy controls were generally included according to the number of patients; In addition, 47 patients in the first biologic treatment group were included according to the inclusion and exclusion criteria. The FFQ scale was used to calculate and evaluate the intake of polyamines in the enrolled patients, high performance liquid chromatography and mass spectrometry were used to measure the levels of polyamines in serum and fecal samples of patients, and immunohistochemical semi quantitative analysis of colon pathological sections was used to analyze the levels of key enzymes of polyamine metabolism.
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146 participants in 3 patient groups
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Hao Zhang
Data sourced from clinicaltrials.gov
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