Citation

Zhang Y, Yuan S, Pu J, Yang L, Zhou X, Liu L, Jiang X, Zhang H, Teng T, Tian L, Xie P. Neuroscience 2018; 371: 207-220.

Copyright

(Copyright © 2018, International Brain Research Organization, Publisher Elsevier Publishing)

DOI

10.1016/j.neuroscience.2017.12.001

PMID

29237567

Abstract

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.

Language: en

Keywords

Male; Animals; Disease Models, Animal; Uncertainty; depression; hippocampus; Hippocampus; Stress, Psychological; Random Allocation; Rats, Sprague-Dawley; metabolomics; Depressive Disorder; rat; proteomics; Proteomics; Metabolomics; Proteome; Metabolome; chronic mild stress