Literature DB >> 27247144

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

You Wu1, Jianyong Tang2, Chanjuan Zhou3, Libo Zhao4, Jin Chen5, Li Zeng5, Chenglong Rao3, Haiyang Shi5, Li Liao2, Zihong Liang6, Yongtao Yang7, Jian Zhou3, Peng Xie8.   

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.
Copyright © 2016 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chronic unpredictable mild stress; Liver; Major depressive disorder; Proteomics; iTRAQ

Mesh:

Substances:

Year:  2016        PMID: 27247144     DOI: 10.1016/j.bbr.2016.05.057

Source DB:  PubMed          Journal:  Behav Brain Res        ISSN: 0166-4328            Impact factor:   3.332


  17 in total

1.  Metabolite identification in fecal microbiota transplantation mouse livers and combined proteomics with chronic unpredictive mild stress mouse livers.

Authors:  Bo Li; Kenan Guo; Li Zeng; Benhua Zeng; Ran Huo; Yuanyuan Luo; Haiyang Wang; Meixue Dong; Peng Zheng; Chanjuan Zhou; Jianjun Chen; Yiyun Liu; Zhao Liu; Liang Fang; Hong Wei; Peng Xie
Journal:  Transl Psychiatry       Date:  2018-01-31       Impact factor: 6.222

2.  Dietary cholesterol intake and stroke risk: a meta-analysis.

Authors:  Pengfei Cheng; Junxi Pan; Jinjun Xia; Wen Huang; Shunjie Bai; Xiaofeng Zhu; Weihua Shao; Haiyang Wang; Peng Xie; Fengli Deng
Journal:  Oncotarget       Date:  2018-01-04

3.  Huanglian-Wendan Decoction Inhibits NF-κB/NLRP3 Inflammasome Activation in Liver and Brain of Rats Exposed to Chronic Unpredictable Mild Stress.

Authors:  Ke-Ke Jia; Hong Ding; Han-Wen Yu; Tie-Jun Dong; Ying Pan; Ling-Dong Kong
Journal:  Mediators Inflamm       Date:  2018-04-29       Impact factor: 4.711

4.  Plasma disturbance of phospholipid metabolism in major depressive disorder by integration of proteomics and metabolomics.

Authors:  Si-Wen Gui; Yi-Yun Liu; Xiao-Gang Zhong; Xinyu Liu; Peng Zheng; Jun-Cai Pu; Jian Zhou; Jian-Jun Chen; Li-Bo Zhao; Lan-Xiang Liu; Guowang Xu; Peng Xie
Journal:  Neuropsychiatr Dis Treat       Date:  2018-06-06       Impact factor: 2.570

5.  iTRAQ-Based Proteomics Analysis Reveals the Effect of Rhubarb in Rats with Ischemic Stroke.

Authors:  Xiangping Lin; Tao Liu; Pengfei Li; Zehui He; Yuanyuan Zhong; Hanjin Cui; Jiekun Luo; Yang Wang; Tao Tang
Journal:  Biomed Res Int       Date:  2018-07-16       Impact factor: 3.411

6.  Urinary Metabolite Signatures for Predicting Elderly Stroke Survivors with Depression.

Authors:  Jin Chen; Yan-Ni Lv; Xiao-Bing Li; Jia-Jun Xiong; Hui-Ting Liang; Liang Xie; Chen-Yi Wan; Yun-Qing Chen; Han-Sen Wang; Pan Liu; He-Qing Zheng
Journal:  Neuropsychiatr Dis Treat       Date:  2021-03-25       Impact factor: 2.570

7.  Liver proteome alterations in psychologically distressed rats and a nootropic drug.

Authors:  Raquel González-Fernández; Mariana Grigoruţă; Sarahi Chávez-Martínez; Eliel Ruiz-May; José Miguel Elizalde-Contreras; José Valero-Galván; Alejandro Martínez-Martínez
Journal:  PeerJ       Date:  2021-05-19       Impact factor: 2.984

8.  Quantitative proteomic study of the plasma reveals acute phase response and LXR/RXR and FXR/RXR activation in the chronic unpredictable mild stress mouse model of depression.

Authors:  Chuangchuang Yang; Chanjuan Zhou; Jie Li; Zhi Chen; Haiyang Shi; Wensong Yang; Yinhua Qin; Lin Lü; Libo Zhao; Liang Fang; Haiyang Wang; Zicheng Hu; Peng Xie
Journal:  Mol Med Rep       Date:  2017-10-20       Impact factor: 2.952

9.  Metabolite-related antidepressant action of diterpene ginkgolides in the prefrontal cortex.

Authors:  Qingchuan Hu; Peng Shen; Shunjie Bai; Meixue Dong; Zihong Liang; Zhi Chen; Wei Wang; Haiyang Wang; Siwen Gui; Pengfei Li; Peng Xie
Journal:  Neuropsychiatr Dis Treat       Date:  2018-04-13       Impact factor: 2.570

10.  Hippocampal proteomic changes of susceptibility and resilience to depression or anxiety in a rat model of chronic mild stress.

Authors:  Min Tang; Haojun Huang; Shuiming Li; Mi Zhou; Zhao Liu; Rongzhong Huang; Wei Liao; Peng Xie; Jian Zhou
Journal:  Transl Psychiatry       Date:  2019-10-17       Impact factor: 6.222

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.