对肝脏的定量蛋白质组学分析揭示了抑郁症小鼠模型中的免疫调节和脂质代谢失调。

Quantitative proteomics analysis of the liver reveals immune regulation and lipid metabolism dysregulation in a mouse model of depression.

作者信息

Wu You, Tang Jianyong, Zhou Chanjuan, Zhao Libo, Chen Jin, Zeng Li, Rao Chenglong, Shi Haiyang, Liao Li, Liang Zihong, Yang Yongtao, Zhou Jian, Xie Peng

机构信息

Department of Neurology, Yongchuan Hospital of Chongqing Medical University, Chongqing 402460, China; Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing 400016, China.

Chongqing Key Laboratory of Neurobiology, Chongqing 400016, China; Institute of Neuroscience and the Collaborative Innovation Center for Brain Science, Chongqing Medical University, Chongqing 400016, China; Key Laboratory of Laboratory Medical Diagnostics of Education, Department of Laboratory Medicine, Chongqing Medical University, Chongqing 400016, China.

出版信息

Behav Brain Res. 2016 Sep 15;311:330-339. doi: 10.1016/j.bbr.2016.05.057. Epub 2016 May 28.

Abstract

Major depressive disorder (MDD) is a highly prevalent and debilitating mental illness with substantial impairments in quality of life and functioning. However, the pathophysiology of major depression remains poorly understood. Combining the brain and body should provide a comprehensive understanding of the etiology of MDD. As the largest internal organ of the human body, the liver has an important function, yet no proteomic study has assessed liver protein expression in a preclinical model of depression. Using the chronic unpredictable mild stress (CUMS) mouse model of depression, differential protein expression between CUMS and control (CON) mice was examined in the liver proteome using isobaric tag for relative and absolute quantitation (iTRAQ) coupled with tandem mass spectrometry. More than 4000 proteins were identified and 66 most significantly differentiated proteins were used for further bioinformatic analysis. According to the ingenuity pathway analysis (IPA), we found that proteins related to the inflammation response, immune regulation, lipid metabolism and NFκB signaling network were altered by CUMS. Moreover, four proteins closely associated with these processes, hemopexin, haptoglobin, cytochrome P450 2A4 (CYP2A4) and bile salt sulfotransferase 1 (SULT2A1), were validated by western blotting. In conclusion, we report, for the first time, the liver protein expression profile in the CUMS mouse model of depression. Our findings provide novel insight (liver-brain axis) into the multifaceted mechanisms of major depressive disorder.

摘要

重度抑郁症(MDD)是一种高度流行且使人衰弱的精神疾病,对生活质量和功能有严重损害。然而,重度抑郁症的病理生理学仍知之甚少。综合考虑大脑和身体因素应能全面理解MDD的病因。肝脏作为人体最大的内部器官,具有重要功能,但尚无蛋白质组学研究评估抑郁症临床前模型中的肝脏蛋白质表达情况。利用慢性不可预测轻度应激(CUMS)抑郁症小鼠模型,采用相对和绝对定量等压标签(iTRAQ)结合串联质谱法,检测了CUMS小鼠和对照(CON)小鼠肝脏蛋白质组中的差异蛋白质表达。共鉴定出4000多种蛋白质,并对66种差异最为显著的蛋白质进行了进一步的生物信息学分析。根据 Ingenuity 通路分析(IPA),我们发现与炎症反应、免疫调节、脂质代谢和NFκB信号网络相关的蛋白质因CUMS而发生改变。此外,通过蛋白质印迹法验证了与这些过程密切相关的四种蛋白质,即血红素结合蛋白、触珠蛋白、细胞色素P450 2A4(CYP2A4)和胆盐磺基转移酶1(SULT2A1)。总之,我们首次报道了CUMS抑郁症小鼠模型中的肝脏蛋白质表达谱。我们的研究结果为重度抑郁症的多方面机制提供了新的见解(肝脑轴)。

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