• Guanghui Chen, Deyu Yang, Yongtao Yang, Juan Li, Ke Cheng, Ge Tang, Rufang Zhang, Jingjing Zhou, Wenwen Li, Zhao Liu, Songhua Fan, and Peng Xie.
• Department of Neurology, Yongchuan Hospital, Chongqing Medical University, Chongqing 402460, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Institute of Neuroscience, Chongqing Medical University, Chongqing 400016, China.
• Behav. Brain Res. 2015 Feb 1; 278: 286-92.

AbstractMajor depressive disorder (MDD) is a debilitating mood disorder. However, the molecular mechanism(s) underlying depression remain largely unknown. Here, we applied a GC-MS-based metabonomic approach in the chronic unpredictable mild stress (CUMS) model, a well-established rodent model of depression, to investigate significant metabolic changes in the rat prefrontal cortex (PFC). Multivariate statistical analysis - including principal component analysis, partial least squares-discriminate analysis, and pair-wise orthogonal projections to latent structures discriminant - was applied to identify differential PFC metabolites between CUMS rats and healthy controls. As compared to healthy control rats, CUMS rats were characterized by lower levels of isoleucine and glycerol in combination with higher levels of N-acetylaspartate and β-alanine. These findings should provide insight into the pathophysiological mechanism(s) underlying MDD and preliminary leads relevant to diagnostic biomarker discovery for depression. Copyright © 2014 Elsevier B.V. All rights reserved.

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