Multi-omics Analysis of the Amygdala in a Rat Chronic Unpredictable Mild Stress Model of Depression.

Abstract

Major depressive disorder is a serious and complex mental illness, and multiple brain regions are involved in its pathogenesis. There is increasing evidence that the amygdala is involved in depression; however, the underlying molecular mechanisms remain unclear. In this study, we applied a combination of liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based metabolomic and isobaric tags for relative and absolute quantitation (iTRAQ) proteomic to study changes in the amygdala in a chronic unpredictable mild stress (CUMS) rat model of depression. Differential analysis identified 42 metabolites and 171 proteins that were differentially expressed in the CUMS and control groups. Integrated analyses revealed two major changes in the amygdala of CUMS rats: (1) perturbations in amino acids and carbohydrate metabolism, transport-/catabolism-related proteins activity, and metabolic enzyme activity; (2) abnormal expression of synaptogenesis and oxidative phosphorylation-associated proteins.