Liquid chromatography–mass spectrometry-based urinary metabolomics study on a rat model of simulated microgravity-induced depression

Publication date: 20 February 2019Source: Journal of Pharmaceutical and Biomedical Analysis, Volume 165Author(s): Teng Xu, Cong Lu, Li Feng, Lin-Xi Fan, Jing Sun, Bei Fan, Qiong Wang, Yan Wang, Xin-Min Liu, Feng-Zhong WangAbstractThe pathophysiological mechanism of depression is complex and its etiology remains unclear. Metabolomics can be used to monitor multiple metabolic pathways simultaneously, thereby investigating the mechanisms of depression onset and its regulation. Therefore, we studied the metabolic profile of urine samples from a rat model of depression for identifying potential metabolic biomarkers associated with depression. The depression model of rats was induced by 14-d simulated microgravity (SMG) treatment. Principal component analysis and orthogonal partial least squares discriminate analysis were performed to classify and identify the differences of endogenous metabolites in urine between the normal and depressed rats. Multivariate statistical analysis revealed distinct separation between the urinary metabolic profiles of SMG-treated and control rats. Citric acid, oxalosuccinic acid, creatine, proline, cyclic AMP, L-dihydroxyphenylalanine (DOPA), phenylacetylglycine, 5-hydroxyindole acetaldehyde, succinylcholine, deoxyuridine, 3-hydroxyhippuric acid, glutamine, and 5-hydroxytryptophan levels were significantly reduced, whereas indole-3-acetaldehyde, xanthurenic acid, taurine, kynurenic acid, hippuric acid, 5-hydroxyindoleacetic acid, 2-phenylethanol glucur...
Source: Journal of Pharmaceutical and Biomedical Analysis - Category: Drugs & Pharmacology Source Type: research