Literature DB >> 22226785

MicroRNAs and depression.

Sophie Mouillet-Richard1, Anne Baudry, Jean-Marie Launay, Odile Kellermann.   

Abstract

With an estimated life-time prevalence of 15 to 17% and an incapacitating illness in 50% of cases, depressive spectrum disorders represent a heavy public health burden. Despite considerable efforts to underpin the molecular and cellular changes associated with depressive states, a global understanding of the pathophysiology of major depressive disorders (MDD) is still lacking. It is now acknowledged that deficits in synaptic plasticity, such as those resulting from chronic stress, can set the stage for the onset of depression. As a corollary, antidepressants balance neurotransmitter systems and help restore neuronal activity. In recent years, microRNAs have emerged as key protagonists in numerous physiopathological conditions including CNS function and disease. This review summarizes the current evidence for an involvement of microRNAs in the pathophysiology of depression and their contribution to the action of antidepressants.
Copyright © 2011 Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 22226785     DOI: 10.1016/j.nbd.2011.12.035

Source DB:  PubMed          Journal:  Neurobiol Dis        ISSN: 0969-9961            Impact factor:   5.996


  36 in total

Review 1.  Heterogeneity and individuality: microRNAs in mental disorders.

Authors:  Leif G Hommers; Katharina Domschke; Jürgen Deckert
Journal:  J Neural Transm (Vienna)       Date:  2014-11-14       Impact factor: 3.575

Review 2.  MicroRNAs in neuronal communication.

Authors:  Guilherme Shigueto Vilar Higa; Erica de Sousa; Lais Takata Walter; Erika Reime Kinjo; Rodrigo Ribeiro Resende; Alexandre Hiroaki Kihara
Journal:  Mol Neurobiol       Date:  2014-01-03       Impact factor: 5.590

3.  Prenatal stress changes the glycoprotein GPM6A gene expression and induces epigenetic changes in rat offspring brain.

Authors:  Melisa C Monteleone; Ezequiela Adrover; María Eugenia Pallarés; Marta C Antonelli; Alberto C Frasch; Marcela A Brocco
Journal:  Epigenetics       Date:  2013-08-19       Impact factor: 4.528

Review 4.  The involvement of microRNAs in major depression, suicidal behavior, and related disorders: a focus on miR-185 and miR-491-3p.

Authors:  Gianluca Serafini; Maurizio Pompili; Katelin F Hansen; Karl Obrietan; Yogesh Dwivedi; Noam Shomron; Paolo Girardi
Journal:  Cell Mol Neurobiol       Date:  2013-11-09       Impact factor: 5.046

5.  Coordinated messenger RNA/microRNA changes in fibroblasts of patients with major depression.

Authors:  Krassimira A Garbett; Andrea Vereczkei; Sára Kálmán; Jacquelyn A Brown; Warren D Taylor; Gábor Faludi; Željka Korade; Richard C Shelton; Károly Mirnics
Journal:  Biol Psychiatry       Date:  2014-06-02       Impact factor: 13.382

6.  MicroRNA expression profile and functional analysis reveal that miR-206 is a critical novel gene for the expression of BDNF induced by ketamine.

Authors:  Xiaolin Yang; Qinyan Yang; Xiaobin Wang; Chunqiong Luo; Yunqiang Wan; Jiali Li; Kezhi Liu; Min Zhou; Chunxiang Zhang
Journal:  Neuromolecular Med       Date:  2014-05-18       Impact factor: 3.843

Review 7.  Suggested Biomarkers for Major Depressive Disorder.

Authors:  Yunus Hacimusalar; Ertuğrul Eşel
Journal:  Noro Psikiyatr Ars       Date:  2018-05-28       Impact factor: 1.339

8.  MicroRNA132 associated multimodal neuroimaging patterns in unmedicated major depressive disorder.

Authors:  Shile Qi; Xiao Yang; Liansheng Zhao; Vince D Calhoun; Nora Perrone-Bizzozero; Shengfeng Liu; Rongtao Jiang; Tianzi Jiang; Jing Sui; Xiaohong Ma
Journal:  Brain       Date:  2018-03-01       Impact factor: 13.501

9.  miR-128 as a Regulator of Synaptic Properties in 5xFAD Mice Hippocampal Neurons.

Authors:  Inna Shvarts-Serebro; Anton Sheinin; Irit Gottfried; Lior Adler; Nofar Schottlender; Uri Ashery; Boaz Barak
Journal:  J Mol Neurosci       Date:  2021-06-20       Impact factor: 3.444

Review 10.  Biomarkers predicting antidepressant treatment response: how can we advance the field?

Authors:  Christiana Labermaier; Mercè Masana; Marianne B Müller
Journal:  Dis Markers       Date:  2013-07-21       Impact factor: 3.434

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