Literature DB >> 22696452

Pharmacoproteomic investigation into antidepressant response in two mouse inbred strains.

Karim Malki1, James Campbell, Matthew Davies, Robert Keers, Rudolf Uher, Malcolm Ward, Jose Paya-Cano, Katherine J Aitchinson, Elke Binder, Frans Sluyter, Karsten Kuhn, Stefan Selzer, Ian Craig, Peter McGuffin, Leonard C Schalkwyk.   

Abstract

In this study, we present a pharmacoproteomic investigation of response to antidepressants two inbred strains. Our aim was to uncover molecular mechanisms underlying antidepressant action and identify new biomarkers to determine therapeutic response to two antidepressants with proven efficacy in the treatment of depression but divergent mechanisms of action. Mice were treated with the pro-noradrenergic drug nortriptyline, the pro-serotonergic drug escitalopram or saline. Quantitative proteomic analyses were undertaken on hippocampal tissue from a study design that used two inbred mouse strains, two depressogenic protocols and a control condition, (maternal separation, chronic mild stress, control), two antidepressant drugs and two dosing protocols. The proteomic analysis was aimed at the identification of specific drug-response markers. Complementary approaches, 2DE and isobaric tandem mass tagging (TMT), were applied to the selected experimental groups. To investigate the relationship between proteomic profiles, depressogenic protocols and drug response, 2DE and TMT data sets were analysed using multivariate methods. The results highlighted significant strain- and stress-related differences across both 2DE and TMT data sets and identified the three gene products involved in serotonergic (PXBD5, YHWAB, SLC25A4) and one in noradrenergic antidepressant action (PXBD6).
© 2012 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Year:  2012        PMID: 22696452     DOI: 10.1002/pmic.201100306

Source DB:  PubMed          Journal:  Proteomics        ISSN: 1615-9853            Impact factor:   3.984


  5 in total

1.  Meta-analysis of Positive and Negative Symptoms Reveals Schizophrenia Modifier Genes.

Authors:  Alexis C Edwards; Tim B Bigdeli; Anna R Docherty; Silviu Bacanu; Donghyung Lee; Teresa R de Candia; Arden Moscati; Dawn L Thiselton; Brion S Maher; Brandon K Wormley; Dermot Walsh; Francis A O'Neill; Kenneth S Kendler; Brien P Riley; Ayman H Fanous
Journal:  Schizophr Bull       Date:  2015-08-27       Impact factor: 9.306

2.  Pervasive and opposing effects of Unpredictable Chronic Mild Stress (UCMS) on hippocampal gene expression in BALB/cJ and C57BL/6J mouse strains.

Authors:  Karim Malki; Yann S Mineur; Maria Grazia Tosto; James Campbell; Priya Karia; Irfan Jumabhoy; Frans Sluyter; Wim E Crusio; Leonard C Schalkwyk
Journal:  BMC Genomics       Date:  2015-04-03       Impact factor: 3.969

Review 3.  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

4.  The endogenous and reactive depression subtypes revisited: integrative animal and human studies implicate multiple distinct molecular mechanisms underlying major depressive disorder.

Authors:  Karim Malki; Robert Keers; Maria Grazia Tosto; Anbarasu Lourdusamy; Lucia Carboni; Enrico Domenici; Rudolf Uher; Peter McGuffin; Leonard C Schalkwyk
Journal:  BMC Med       Date:  2014-05-07       Impact factor: 8.775

5.  Genome-wide association study of antidepressant response: involvement of the inorganic cation transmembrane transporter activity pathway.

Authors:  Enrico Cocchi; Chiara Fabbri; Changsu Han; Soo-Jung Lee; Ashwin A Patkar; Prakash S Masand; Chi-Un Pae; Alessandro Serretti
Journal:  BMC Psychiatry       Date:  2016-04-18       Impact factor: 3.630

  5 in total

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