Proteomic and metabolomic characterization of amygdala in chronic social defeat stress rats
Proteomic and metabolomic characterization of amygdala in chronic social defeat stress rats
复制标题
慢性社交失败应激大鼠杏仁核的蛋白质组学和代谢组学特征
DOI:
10.1016/j.bbr.2021.113407
复制
发表时间:
2021-06-12
影响因子:
2.7
通讯作者:
Xie, Peng
中科院分区:
文献类型:
--
作者:
Fan, Li;Yang, Lining;Xie, Peng
Background: Depression is a leading cause of disability worldwide. There is increasing evidence showing that depression is associated with the pathophysiology in amygdala; however, the underlying mechanism remains poorly understood. Method: We established a rat model of chronic social defeat stress (CSDS) and conducted a series of behavior tests to observe behavioral changes. Then liquid chromatography mass spectrometry (LC-MS)-based metabolomics and isobaric tags for relative and absolute quantitation (iTRAQ)-based proteomics were employed to detect metabolomes and proteomes in the amygdala, respectively. Ingenuity pathway analysis (IPA) and other bioinformatic analyses were used to analyze differentially expressed metabolites and proteins. Results: The significantly lower sucrose preference index in the sucrose preference test and longer immobile time in the forced swim test were observed in the CSDS rats compared with control rats. In the multi-omics analysis, thirty-seven significantly differentially expressed metabolites and 123 significant proteins were identified. Integrated analysis of differentially expressed metabolites and proteins by IPA revealed molecular changes mainly associated with synaptic plasticity, phospholipase c signaling, and glutamine degradation I. We compared the metabolites in the amygdala with those in the hippocampus and prefrontal cortex from our previous studies and found two common metabolites: arachidonic acid and N-acetyl-L-aspartic acid among these three brain regions. Conclusion: Our study revealed the presence of depressive-like behaviors and molecular changes of amygdala in the CSDS rat model, which may provide further insights into the pathogenesis of depression, and help to identify potential targets for antidepressants.