TY  - JOUR
PY  - 2018//
TI  - Integrated Metabolomics and Proteomics Analysis of Hippocampus in a Rat Model of Depression
JO  - Neuroscience
A1  - Zhang, Yuqing
A1  - Yuan, Shuai
A1  - Pu, Juncai
A1  - Yang, Lining
A1  - Zhou, Xinyu
A1  - Liu, Lanxiang
A1  - Jiang, Xiaofeng
A1  - Zhang, Hanping
A1  - Teng, Teng
A1  - Tian, Lu
A1  - Xie, Peng
SP  - 207
EP  - 220
VL  - 371
IS  - 
N2  - Major depressive disorder (MDD) is a prevalent and serious mental disorder with high rates of suicide and disability. However, the underlying pathogenesis of MDD is complicated and remains largely unclear. An integrated analysis of multiple types of omics data may improve comprehensive understanding of the entire molecular mechanism of MDD. In this study, we applied an integrated analysis of gas chromatography/mass spectrometry (GC-MS)-based metabolomics and isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomics to investigate changes in the hippocampus in the chronic unpredictable mild stress (CUMS) rat model of depression. Only the stress-susceptible rats in the CUMS group were selected for profiling against controls. Differential analysis identified 30 metabolites and 170 proteins between the two groups. The integrated analyses revealed four major changes in the hippocampus of CUMS rats: (1) impairment in amino acid metabolism and protein synthesis/degradation; (2) dysregulation of glutamate and glycine metabolism and their transport/catabolism related proteins; (3) disturbances in fatty acid and glycerophospholipid metabolism accompanied by alterations in the corresponding metabolic enzymes; (4) abnormal expression of synapse-associated proteins. These results provide further important insights into the pathophysiology of depression and may help identify potential targets for antidepressant drugs.<p /> <p>Language: en</p>
LA  - en
SN  - 0306-4522
UR  - http://dx.doi.org/10.1016/j.neuroscience.2017.12.001
ID  - ref1
ER  -