Introduction
Adipose tissue wrapping the gastrointestinal tract is a risk factor for disease activity in Crohn's disease (CD). Indeed, adipokines associated to lipid metabolism can modulate local immune responses. However, few studies have investigated the possible association between adipokines and CD.
Aims & Methods
Here, we aimed to evaluate the role of serum adipokines as possible biomarkers in CD.
Serum samples were obtained from 18 patients with endoscopically active CD (aCD), 22 patients with endoscopically quiescent CD (qCD) and 36 non-inflamed healthy controls (HC). All serum samples were obtained from CD patients and HC at the moment of colonoscopy in Hospital Universitario La Princesa, Madrid, Spain. The Simple Endoscopic Score for Crohn's Disease (SES-CD) was determined during colonoscopy in all CD patients in order to classify them as aCD (SES-CD 3 3) or qCD (SES-CD ≤ 2). Demographic variables (i.e. sex, age and BMI) were analysed by chi square test (frequencies) or ANOVA test (means). Serum leptin, ghrelin, resistin and adiponec-tin were analysed by Multiplex (Bio-Rad, Hercules, CA, USA) in a Luminex 200 system technology following manufacturer's instructions. The final concentration value of each adipokine was the result of the mean from the two duplicated measures. Adipokines normality was tested and adipokines were natural log transformed. Spearman correlation was performed for the adipokines. Adipokine means for each group of patients were compared by ANOVA test. Median and interquartile range for each patient group was determined for those skewed adipokines and Kruskal-Wallis test was performed. Receiver Operating Characteristic (ROC) curves and the area under the curve (AUC) were carried on to evaluate the discriminatory capacity of the adipokines levels between study groups. The Youden cut-off index got from the ROC curve was matched with the adipokines concentration. Furthermore, for those adipokines that showed an AUC ≥ 0.7, a binary logistic regression adjusted by possible confounders (i.e sex, age, BMI) was performed in order to test their possible association with CD.
Results
No differences were found in age, sex or BMI among aCD, qCD and HC. There was no correlation among the adipokines analyzed. Means distribution for serum resistin was different among aCD, qCD and HC (p=0.02). However, only comparisons between aCD and HC a groups showed significant differences (p=0.03) in the post hoc test. Serum leptin, ghrelin and adiponectin did not show differences between means. ROC curve for resistin showed an AUC along with its 95% confidence interval of 0.75 (0.61-0.89) when HC and aCD groups were compared. Furthermore, in this case, as sensitivity and specificity for Youden index correspond to the total resistin median concentration (9822pg/ml), this value was selected as a cut-off for the binary logistic regression analysis; thus, odds ratio (OR) along with their 95% confidence interval analysis of high relative resistin levels (values higher than total resistin median) adjusted by age, sex and BMI yielded a value of 5.46 (1.34-22.14) when active patients were compared to HC. Comparisons between qCD and aCD or between qCD and HC showed an AUC < 0.7. ROC curves analysis for leptin, ghrelin and adiponectin did not show enough accuracy to discriminate between groups.
Conclusion
Resistin may modulate the inflammation state in CD and it is probably associated to activity, being this association independent of sex, age or BMI. Resistin may work as a serum biomarker of activity in CD.
Disclosure
Nothing to disclose

