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Medical Science Monitor Basic Research


eISSN: 1643-3750

Decreased Levels of Serum Omentin-1 in Patients with Inflammatory Bowel Disease

Jian Yin, Peng Hou, Zhiqiang Wu, Yanxiao Nie

Department of Gastroenterology, First Affiliated to General Hospital of Chinese People’s Liberation Army, Beijing, China (mainland)

Med Sci Monit 2015; 21:118-122

DOI: 10.12659/MSM.892081

Available online:

Published: 2015-01-10


Background: Inflammation is involved in the mechanism of inflammatory bowel disease (IBD). Omentin, a newly discovered adipokine, is thought to play an anti-inflammatory role. This study aimed to determine whether serum levels of omentin-1 are associated with the presence and disease activity of IBD.
Material and Methods: This study consisted of 192 patients with IBD: 100 with Crohn’s disease [CD], 92 with ulcerative colitis [UC], and 104 healthy subjects. Serum levels of omentin-1 were measured using enzyme-linked immunosorbent assay (ELISA).
Results: Serum omentin-1 levels were significantly decreased in CD and UC patients compared with healthy controls. Multivariable logistic regression analysis revealed that serum omentin-1 levels were inversely associated with the presence of CD and UC. Active CD and UC patients both had significantly decreased levels of serum omentin-1 compared with inactive CD and UC patients. In both CD and UC patients, serum omentin-1 levels were significantly associated with decreased levels of body mass index (BMI) and C-reactive protein (CRP).
Conclusions: Decreased serum omentin-1 levels could be considered as an independent predicting marker of the presence and disease activity of IBD.

Keywords: Adult, Adipokines - metabolism, Anti-Inflammatory Agents - chemistry, Biological Markers - blood, Body Mass Index, C-Reactive Protein - metabolism, Case-Control Studies, Colitis, Ulcerative - blood, Crohn Disease - blood, Cross-Sectional Studies, Cytokines - blood, Enzyme-Linked Immunosorbent Assay, GPI-Linked Proteins - blood, Gene Expression Regulation, Inflammation, Lectins - blood, Logistic Models