Literature DB >> 18923405

Target identification for CNS diseases by transcriptional profiling.

C Anthony Altar1, Marquis P Vawter, Stephen D Ginsberg.   

Abstract

Gene expression changes in neuropsychiatric and neurodegenerative disorders, and gene responses to therapeutic drugs, provide new ways to identify central nervous system (CNS) targets for drug discovery. This review summarizes gene and pathway targets replicated in expression profiling of human postmortem brain, animal models, and cell culture studies. Analysis of isolated human neurons implicates targets for Alzheimer's disease and the cognitive decline associated with normal aging and mild cognitive impairment. In addition to tau, amyloid-beta precursor protein, and amyloid-beta peptides (Abeta), these targets include all three high-affinity neurotrophin receptors and the fibroblast growth factor (FGF) system, synapse markers, glutamate receptors (GluRs) and transporters, and dopamine (DA) receptors, particularly the D2 subtype. Gene-based candidates for Parkinson's disease (PD) include the ubiquitin-proteosome system, scavengers of reactive oxygen species, brain-derived neurotrophic factor (BDNF), its receptor, TrkB, and downstream target early growth response 1, Nurr-1, and signaling through protein kinase C and RAS pathways. Increasing variability and decreases in brain mRNA production from middle age to old age suggest that cognitive impairments during normal aging may be addressed by drugs that restore antioxidant, DNA repair, and synaptic functions including those of DA to levels of younger adults. Studies in schizophrenia identify robust decreases in genes for GABA function, including glutamic acid decarboxylase, HINT1, glutamate transport and GluRs, BDNF and TrkB, numerous 14-3-3 protein family members, and decreases in genes for CNS synaptic and metabolic functions, particularly glycolysis and ATP generation. Many of these metabolic genes are increased by insulin and muscarinic agonism, both of which are therapeutic in psychosis. Differential genomic signals are relatively sparse in bipolar disorder, but include deficiencies in the expression of 14-3-3 protein members, implicating these chaperone proteins and the neurotransmitter pathways they support as possible drug targets. Brains from persons with major depressive disorder reveal decreased expression for genes in glutamate transport and metabolism, neurotrophic signaling (eg, FGF, BDNF and VGF), and MAP kinase pathways. Increases in these pathways in the brains of animals exposed to electroconvulsive shock and antidepressant treatments identify neurotrophic and angiogenic growth factors and second messenger stimulation as therapeutic approaches for the treatment of depression.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 18923405      PMCID: PMC2675576          DOI: 10.1038/npp.2008.172

Source DB:  PubMed          Journal:  Neuropsychopharmacology        ISSN: 0893-133X            Impact factor:   7.853


  386 in total

Review 1.  Search for schizophrenia susceptibility genes.

Authors:  A E Pulver
Journal:  Biol Psychiatry       Date:  2000-02-01       Impact factor: 13.382

Review 2.  Genome wide gene expression studies in mood disorders.

Authors:  Adolfo Sequeira; Gustavo Turecki
Journal:  OMICS       Date:  2006

3.  Block of glutamate transporters potentiates postsynaptic excitation.

Authors:  G Tong; C E Jahr
Journal:  Neuron       Date:  1994-11       Impact factor: 17.173

4.  Microarray analysis of postmortem temporal cortex from patients with schizophrenia.

Authors:  Christopher Aston; Lixin Jiang; Boris P Sokolov
Journal:  J Neurosci Res       Date:  2004-09-15       Impact factor: 4.164

5.  Oxidative modifications and down-regulation of ubiquitin carboxyl-terminal hydrolase L1 associated with idiopathic Parkinson's and Alzheimer's diseases.

Authors:  Joungil Choi; Allan I Levey; Susan T Weintraub; Howard D Rees; Marla Gearing; Lih-Shen Chin; Lian Li
Journal:  J Biol Chem       Date:  2004-01-13       Impact factor: 5.157

6.  Comparing the use and discontinuation of antipsychotics in clinical practice: an observational study.

Authors:  Mark Taylor; Polash Shajahan; Stephen M Lawrie
Journal:  J Clin Psychiatry       Date:  2008-02       Impact factor: 4.384

7.  14-3-3-affinity purification of over 200 human phosphoproteins reveals new links to regulation of cellular metabolism, proliferation and trafficking.

Authors:  Mercedes Pozuelo Rubio; Kathryn M Geraghty; Barry H C Wong; Nicola T Wood; David G Campbell; Nick Morrice; Carol Mackintosh
Journal:  Biochem J       Date:  2004-04-15       Impact factor: 3.857

8.  Cellular mechanisms underlying the antidepressant effects of ketamine: role of alpha-amino-3-hydroxy-5-methylisoxazole-4-propionic acid receptors.

Authors:  Sungho Maeng; Carlos A Zarate; Jing Du; Robert J Schloesser; Joseph McCammon; Guang Chen; Husseini K Manji
Journal:  Biol Psychiatry       Date:  2007-07-23       Impact factor: 13.382

9.  Basic fibroblast growth factor ameliorates learning deficits in basal forebrain-lesioned mice.

Authors:  A Ishihara; H Saito; N Nishiyama
Journal:  Jpn J Pharmacol       Date:  1992-05

Review 10.  Functional genomic methodologies.

Authors:  Stephen D Ginsberg; Károly Mirnics
Journal:  Prog Brain Res       Date:  2006       Impact factor: 2.453

View more
  60 in total

1.  Amygdala 14-3-3ζ as a novel modulator of escalating alcohol intake in mice.

Authors:  Heidi M B Lesscher; Julia M Houthuijzen; Marian J Groot Koerkamp; Frank C P Holstege; Louk J M J Vanderschuren
Journal:  PLoS One       Date:  2012-05-22       Impact factor: 3.240

2.  Chemocentric informatics approach to drug discovery: identification and experimental validation of selective estrogen receptor modulators as ligands of 5-hydroxytryptamine-6 receptors and as potential cognition enhancers.

Authors:  Rima Hajjo; Vincent Setola; Bryan L Roth; Alexander Tropsha
Journal:  J Med Chem       Date:  2012-06-11       Impact factor: 7.446

3.  Targeting glial physiology and glutamate cycling in the treatment of depression.

Authors:  Gerald W Valentine; Gerard Sanacora
Journal:  Biochem Pharmacol       Date:  2009-04-17       Impact factor: 5.858

4.  Seasonal changes in gene expression represent cell-type composition in whole blood.

Authors:  Simone De Jong; Marjolein Neeleman; Jurjen J Luykx; Maarten J ten Berg; Eric Strengman; Hanneke H Den Breeijen; Leon C Stijvers; Jacobine E Buizer-Voskamp; Steven C Bakker; René S Kahn; Steve Horvath; Wouter W Van Solinge; Roel A Ophoff
Journal:  Hum Mol Genet       Date:  2014-01-07       Impact factor: 6.150

5.  Transcriptome sequencing implicates dorsal striatum-specific gene network, immune response and energy metabolism pathways in bipolar disorder.

Authors:  R Pacifico; R L Davis
Journal:  Mol Psychiatry       Date:  2016-06-28       Impact factor: 15.992

6.  Molecular signatures in post-mortem brain tissue of younger individuals at high risk for Alzheimer's disease as based on APOE genotype.

Authors:  C Conejero-Goldberg; T M Hyde; S Chen; U Dreses-Werringloer; M M Herman; J E Kleinman; P Davies; T E Goldberg
Journal:  Mol Psychiatry       Date:  2010-05-18       Impact factor: 15.992

7.  Postmortem brain tissue for drug discovery in psychiatric research.

Authors:  Sanghyeon Kim; Maree J Webster
Journal:  Schizophr Bull       Date:  2009-09-25       Impact factor: 9.306

8.  Gene expression levels assessed by CA1 pyramidal neuron and regional hippocampal dissections in Alzheimer's disease.

Authors:  Stephen D Ginsberg; Melissa J Alldred; Shaoli Che
Journal:  Neurobiol Dis       Date:  2011-07-28       Impact factor: 5.996

9.  Proteomic profiling of human islets collected from frozen pancreata using laser capture microdissection.

Authors:  Lina Zhang; Giacomo Lanzoni; Matteo Battarra; Luca Inverardi; Qibin Zhang
Journal:  J Proteomics       Date:  2016-09-13       Impact factor: 4.044

10.  Rapid dopaminergic modulation of the fish hypothalamic transcriptome and proteome.

Authors:  Jason T Popesku; Christopher J Martyniuk; Nancy D Denslow; Vance L Trudeau
Journal:  PLoS One       Date:  2010-08-20       Impact factor: 3.240

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.