Literature DB >> 22717272

Comparative proteomic analysis of plasma from major depressive patients: identification of proteins associated with lipid metabolism and immunoregulation.

Hong-Bo Xu1, Ru-Fang Zhang, Dan Luo, Yuan Zhou, Ying Wang, Liang Fang, Wen-Juan Li, Jun Mu, Lihua Zhang, Yukui Zhang, Peng Xie.   

Abstract

Major depressive disorder is a common neuropsychiatric disorder contributing to several socio-economic burdens including disability and suicide. As the underlying pathophysiology of major depressive disorder remains unclear, no objective test is yet available for aiding diagnosis or monitoring disease progression. To contribute to a better understanding of its pathogenesis, a comparative proteomic study was performed to identify proteins differentially expressed in plasma samples obtained from first-onset, treatment-naive depressed patients as compared to healthy controls. Samples from the two groups were immunodepleted of seven high-abundance proteins, labelled with isobaric tags for relative and absolute quantitation and then analysed by multi-dimensional liquid chromatography-tandem mass spectrometry. The proteomic results were further validated by immunoblotting or enzyme-linked immunoadsorbent assays and analysed with the MetaCore database. The results demonstrate that the functions of the altered proteins are primarily involved in lipid metabolism and immunoregulation. These findings suggest that early perturbation of lipid metabolism and immunoregulation may be involved in the pathophysiology of major depressive disorder.

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Year:  2012        PMID: 22717272     DOI: 10.1017/S1461145712000302

Source DB:  PubMed          Journal:  Int J Neuropsychopharmacol        ISSN: 1461-1457            Impact factor:   5.176


  35 in total

Review 1.  Peripheral biomarkers of major depression and antidepressant treatment response: Current knowledge and future outlooks.

Authors:  Bharathi S Gadad; Manish K Jha; Andrew Czysz; Jennifer L Furman; Taryn L Mayes; Michael P Emslie; Madhukar H Trivedi
Journal:  J Affect Disord       Date:  2017-07-05       Impact factor: 4.839

2.  Hypothalamic Proteomic Analysis Reveals Dysregulation of Glutamate Balance and Energy Metabolism in a Mouse Model of Chronic Mild Stress-Induced Depression.

Authors:  Chenglong Rao; Haiyang Shi; Chanjuan Zhou; Dan Zhu; Mingjun Zhao; Ziye Wang; Yongtao Yang; Jin Chen; Li Liao; Jianyong Tang; You Wu; Jian Zhou; Ke Cheng; Peng Xie
Journal:  Neurochem Res       Date:  2016-05-26       Impact factor: 3.996

3.  Combined Metabolomics and Proteomics Analysis of Major Depression in an Animal Model: Perturbed Energy Metabolism in the Chronic Mild Stressed Rat Cerebellum.

Authors:  Wei-hua Shao; Jian-jun Chen; Song-hua Fan; Yang Lei; Hong-bo Xu; Jian Zhou; Peng-fei Cheng; Yong-tao Yang; Cheng-long Rao; Bo Wu; Hai-peng Liu; Peng Xie
Journal:  OMICS       Date:  2015-07

4.  Proteomic Analysis of the Antidepressant Effects of Shen-Zhi-Ling in Depressed Patients: Identification of Proteins Associated with Platelet Activation and Lipid Metabolism.

Authors:  Chao Chen; Yuan Hu; Xian-Zhe Dong; Xiao-Jiang Zhou; Li-Hua Mu; Ping Liu
Journal:  Cell Mol Neurobiol       Date:  2018-03-21       Impact factor: 5.046

5.  Global effects of RAB3GAP1 dysexpression on the proteome of mouse cortical neurons.

Authors:  Yanchen Liu; Fenfang Tian; Shuiming Li; Wei Chen; Weibo Gong; Hong Xie; Dan Liu; Rongzhong Huang; Wei Liao; Faping Yi; Jian Zhou
Journal:  Amino Acids       Date:  2021-08-07       Impact factor: 3.520

6.  Proteomic analysis of serum from patients with major depressive disorder to compare their depressive and remission statuses.

Authors:  Jiyeong Lee; Eun-Jeong Joo; Hee-Joung Lim; Jong-Moon Park; Kyu Young Lee; Arum Park; AeEun Seok; HooKeun Lee; Hee-Gyoo Kang
Journal:  Psychiatry Investig       Date:  2015-03-18       Impact factor: 2.505

Review 7.  Risk assessment and predicting outcomes in patients with depressive symptoms: a review of potential role of peripheral blood based biomarkers.

Authors:  Bhautesh D Jani; Gary McLean; Barbara I Nicholl; Sarah J E Barry; Naveed Sattar; Frances S Mair; Jonathan Cavanagh
Journal:  Front Hum Neurosci       Date:  2015-02-02       Impact factor: 3.169

Review 8.  Biomarkers for Psychiatry: The Journey from Fantasy to Fact, a Report of the 2013 CINP Think Tank.

Authors:  Elizabeth Scarr; Mark J Millan; Sabine Bahn; Alessandro Bertolino; Christoph W Turck; Shitij Kapur; Hans-Jürgen Möller; Brian Dean
Journal:  Int J Neuropsychopharmacol       Date:  2015-04-21       Impact factor: 5.176

Review 9.  Proteomics, metabolomics, and protein interactomics in the characterization of the molecular features of major depressive disorder.

Authors:  Daniel Martins-de-Souza
Journal:  Dialogues Clin Neurosci       Date:  2014-03       Impact factor: 5.986

Review 10.  Innate and adaptive immunity in the development of depression: An update on current knowledge and technological advances.

Authors:  Rita Haapakoski; Klaus P Ebmeier; Harri Alenius; Mika Kivimäki
Journal:  Prog Neuropsychopharmacol Biol Psychiatry       Date:  2015-11-26       Impact factor: 5.067

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