P216 Urine Metabolomic Characteristics of Anxiety and Depression Disorders in Patients with Inflammatory Bowel Disease

Abstract

Abstract Background Up to 25%-35% of patients with inflammatory bowel disease (IBD) suffer from anxiety or depression. We aimed to depict the urine metabolic profile of IBD patients with anxiety and depression disorders and investigate the urinary metabolites that could characterize the mental disorders in IBD patients. Methods Urine samples were collected from IBD patients, and the Liquid Chromatography-Mass Spectrometry (LC-MS) was used to detect the metabolites. The Hospital Anxiety and Depression Scale (HADS) was used to assess the anxiety and depression symptoms. Least absolute shrinkage and selection operator (LASSO) regression model with 10-fold cross-validation was used to establish a metabolite-based prediction model for mental disorders in patients with IBD. Results Among the involved IBD patients (n=23, median age 41, women 61%), 35% had anxiety and 35% had depression. The urine metabolic profiles of IBD patients with anxiety or depression disorders were largely separated from those without mental symptoms (Figure 1 a-b). There were 36 metabolites up-regulated and 25 metabolites down-regulated in the anxiety group, while 10 metabolites up-regulated and 35 metabolites down-regulated in the depression group (Figure 1 c-d). The LASSO model identified the metabolites predicting IBD patients with mental disorders (Figure 2 a-b). Six metabolites (L-Carnitine, Riboflavin-5-phosphate, 2-Ethyl-2-phenylmalonamide, 3-Indoxyl sulphate, Sodium cholate, Tritylalcohol) were selected to construct the prediction model for anxiety, and another six metabolites (D-(-)-Glutamine, dAMP, DL-Stachydrine, dCMP, 5'-Deoxy-5'-(Methylthio)Adenosine, Sakuranin) were selected to construct the prediction model for depression in IBD patients. Both models showed excellent performances with an AUC of 0.992 (95%CI:0.97-1.00) and 0.933 (95%CI: 0.83-1.00) for predicting anxiety and depression, respectively, among patients with IBD (Figure 2 c-d). Conclusion We found significantly different urine metabolic profiles between IBD patients with and without anxiety and depression disorders. The specific urinary metabolites panel may become effective biomarkers for the prediction of anxiety and depression disorders in IBD patients.