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Altered Proteomics in Brain Extracellular Vesicles from Depressed Individuals Who Died by Suicide Implicates Synaptic Processes

重性抑郁障碍 生物信息学 蛋白质组学 神经科学 蛋白质组 生物 突触小泡 生物信息学 心理学 小泡 生物化学 基因 认知
作者
Pascal Ibrahim,Haruka Mitsuhashi,Lorne Taylor,Jenna Cleyle,Naguib Mechawar,Corina Nagy,Gustavo Turecki
出处
期刊:The International Journal of Neuropsychopharmacology [University of Oxford]
标识
DOI:10.1093/ijnp/pyaf012
摘要

Abstract Background Major Depressive Disorder (MDD) is a common and debilitating disorder whose molecular neurobiology remains unclear. Extracellular vesicles (EVs) are small vesicles that are released by cells and are involved in intercellular communication. They carry bioactive molecules, such as proteins, that reflect the state of their cell of origin. In this study, we sought to investigate the proteomic cargo of brain EVs from depressed individuals as compared to EVs from matched neurotypical individuals. In addition, we investigated how the EV proteomic cargo compares to the proteomic profile of bulk tissue. Methods Using mass spectrometry and label-free quantification (LFQ), we investigated the EV and bulk tissue protein profile from anterior cingulate cortex (ACC) samples from 86 individuals. We performed differential expression analysis to compare cases and controls, followed by in silico analysis to determine potential implicated functions of dysregulated proteins. Results EVs display distinct proteomic profiles compared to bulk tissue. Differential expression analysis showed that 70 proteins were differentially packaged in EVs in MDD, while there was no significant difference in protein levels between groups in bulk tissue. In silico analysis points to a strong role of these differential EV proteins in synaptic functions. Conclusion To our knowledge, this is the first study to profile EV proteins in depression, providing novel information to better understand the pathophysiology of MDD. This work paves the way for discovering new therapeutic targets for MDD and prompts more investigations into EVs in MDD and other psychiatric disorders.
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