Literature DB >> 14743183

Molecular characterization of bipolar disorder by comparing gene expression profiles of postmortem brains of major mental disorders.

K Iwamoto1, C Kakiuchi, M Bundo, K Ikeda, T Kato.   

Abstract

We performed the oligonucleotide microarray analysis in bipolar disorder, major depression, schizophrenia, and control subjects using postmortem prefrontal cortices provided by the Stanley Foundation Brain Collection. By comparing the gene expression profiles of similar but distinctive mental disorders, we explored the uniqueness of bipolar disorder and its similarity to other mental disorders at the molecular level. Notably, most of the altered gene expressions in each disease were not shared by one another, suggesting the molecular distinctiveness of these mental disorders. We found a tendency of downregulation of the genes encoding receptor, channels or transporters, and upregulation of the genes encoding stress response proteins or molecular chaperons in bipolar disorder. Altered expressions in bipolar disorder shared by other mental disorders mainly consisted of upregulation of the genes encoding proteins for transcription or translation. The genes identified in this study would be useful for the understanding of the pathophysiology of bipolar disorder, as well as the common pathophysiological background in major mental disorders at the molecular level. In addition, we found the altered expression of LIM and HSPF1 both in the brains and lymphoblastoid cells in bipolar disorder. These genes may have pathophysiological importance and would be novel candidate genes for bipolar disorder.

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Year:  2004        PMID: 14743183     DOI: 10.1038/sj.mp.4001437

Source DB:  PubMed          Journal:  Mol Psychiatry        ISSN: 1359-4184            Impact factor:   15.992


  107 in total

1.  Searching for new genetic variations in expression databases for the GABAergic and glutamatergic systems.

Authors:  Manuela Barbosa Rodrigues de Souza; João Ricardo Mendes de Oliveira
Journal:  J Mol Neurosci       Date:  2012-04-22       Impact factor: 3.444

2.  Expression QTL analysis of top loci from GWAS meta-analysis highlights additional schizophrenia candidate genes.

Authors:  Simone de Jong; Kristel R van Eijk; Dave W L H Zeegers; Eric Strengman; Esther Janson; Jan H Veldink; Leonard H van den Berg; Wiepke Cahn; René S Kahn; Marco P M Boks; Roel A Ophoff
Journal:  Eur J Hum Genet       Date:  2012-03-21       Impact factor: 4.246

3.  Transcriptome profile in Williams-Beuren syndrome lymphoblast cells reveals gene pathways implicated in glucose intolerance and visuospatial construction deficits.

Authors:  Anna Antonell; Mireia Vilardell; Luis A Pérez Jurado
Journal:  Hum Genet       Date:  2010-04-17       Impact factor: 4.132

4.  Comparative gene expression analysis of blood and brain provides concurrent validation of SELENBP1 up-regulation in schizophrenia.

Authors:  Stephen J Glatt; Ian P Everall; William S Kremen; Jacques Corbeil; Roman Sásik; Negar Khanlou; Mark Han; Choong-Chin Liew; Ming T Tsuang
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-13       Impact factor: 11.205

5.  Estimating RNA editing efficiency of five editing sites in the serotonin 2C receptor by pyrosequencing.

Authors:  Kazuya Iwamoto; Miki Bundo; Tadafumi Kato
Journal:  RNA       Date:  2005-10       Impact factor: 4.942

6.  Mitochondrial-related gene expression changes are sensitive to agonal-pH state: implications for brain disorders.

Authors:  M P Vawter; H Tomita; F Meng; B Bolstad; J Li; S Evans; P Choudary; M Atz; L Shao; C Neal; D M Walsh; M Burmeister; T Speed; R Myers; E G Jones; S J Watson; H Akil; W E Bunney
Journal:  Mol Psychiatry       Date:  2006-04-25       Impact factor: 15.992

7.  Downregulation in components of the mitochondrial electron transport chain in the postmortem frontal cortex of subjects with bipolar disorder.

Authors:  Xiujun Sun; Jun-Feng Wang; Michael Tseng; L Trevor Young
Journal:  J Psychiatry Neurosci       Date:  2006-05       Impact factor: 6.186

Review 8.  Sharing and reusing gene expression profiling data in neuroscience.

Authors:  Xiang Wan; Paul Pavlidis
Journal:  Neuroinformatics       Date:  2007

9.  Meta-analysis of 12 genomic studies in bipolar disorder.

Authors:  Michael Elashoff; Brandon W Higgs; Robert H Yolken; Michael B Knable; Serge Weis; Maree J Webster; Beata M Barci; E Fuller Torrey
Journal:  J Mol Neurosci       Date:  2007       Impact factor: 3.444

10.  Positive association between the PDLIM5 gene and bipolar disorder in the Chinese Han population.

Authors:  Teng Zhao; Yun Liu; Peng Wang; Sheng Li; Daizhan Zhou; Di Zhang; Zhuo Chen; Ting Wang; He Xu; Guoyin Feng; Lin He; Lan Yu
Journal:  J Psychiatry Neurosci       Date:  2009-05       Impact factor: 6.186

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