Literature DB >> 21168998

Nortriptyline influences protein pathways involved in carbohydrate metabolism and actin-related processes in a rat gene-environment model of depression.

Chiara Piubelli1, Susanne Gruber, Aram El Khoury, Aleksander A Mathé, Enrico Domenici, Lucia Carboni.   

Abstract

Although most available antidepressants increase monoaminergic neurotransmission, their therapeutic efficacy is likely mediated by longer-term molecular adaptations. To investigate the molecular changes induced by chronic antidepressant treatment we analysed proteomic changes in rat pre-frontal/frontal cortex and hippocampus after nortriptyline (NT) administration. A wide-scale analysis of protein expression was performed on the Flinders Sensitive Line (FSL), a genetically-selected rat model of depression, and the control Flinders Resistant Line (FRL). The effect of NT treatment was examined in a gene-environment interaction model, applying maternal separation (MS) to both strains. In the forced swim test, FSL rats were significantly more immobile than FRL animals, whereas NT treatment reduced immobility time. MS alone did not modify immobility time, but it impaired the response to NT in the FSL strain. In the proteomic analysis, in FSL rats NT treatment chiefly modulated cytoskeleton proteins and carbohydrate metabolism. In the FRL strain, changes influenced protein polymerization and intracellular transport. After MS, NT treatment mainly affected proteins in nucleotide metabolism in FSL rats and synaptic transmission and neurite morphogenesis pathways in FRL rats. When the effects of NT treatment and MS were compared between strains, carbohydrate metabolic pathways were predominantly modulated.
Copyright © 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 21168998     DOI: 10.1016/j.euroneuro.2010.11.003

Source DB:  PubMed          Journal:  Eur Neuropsychopharmacol        ISSN: 0924-977X            Impact factor:   4.600


  7 in total

Review 1.  Rodent models of treatment-resistant depression.

Authors:  Barbara J Caldarone; Venetia Zachariou; Sarah L King
Journal:  Eur J Pharmacol       Date:  2014-11-21       Impact factor: 4.432

2.  Antidepressant effects on serotonin 1A/1B receptors in the rat brain using a gene x environment model.

Authors:  Stal Saurav Shrestha; Daniel S Pine; David A Luckenbaugh; Katarina Varnäs; Ioline D Henter; Robert B Innis; Aleksander A Mathé; Per Svenningsson
Journal:  Neurosci Lett       Date:  2013-11-25       Impact factor: 3.046

3.  Rare copy number variation in treatment-resistant major depressive disorder.

Authors:  Colm O'Dushlaine; Stephan Ripke; Douglas M Ruderfer; Steven P Hamilton; Maurizio Fava; Dan V Iosifescu; Isaac S Kohane; Susanne E Churchill; Victor M Castro; Caitlin C Clements; Sarah R Blumenthal; Shawn N Murphy; Jordan W Smoller; Roy H Perlis
Journal:  Biol Psychiatry       Date:  2014-01-19       Impact factor: 13.382

4.  Cytoskeletal protein translation and expression in the rat brain are stressor-dependent and region-specific.

Authors:  Petra Sántha; Magdolna Pákáski; Eszter K Fodor; Örsike Cs Fazekas; Sára Kálmán; János Kálmán; Zoltán Janka; Gyula Szabó; János Kálmán
Journal:  PLoS One       Date:  2013-10-04       Impact factor: 3.240

Review 5.  The Genetics of Treatment-Resistant Depression: A Critical Review and Future Perspectives.

Authors:  Chiara Fabbri; Filippo Corponi; Daniel Souery; Siegfried Kasper; Stuart Montgomery; Joseph Zohar; Dan Rujescu; Julien Mendlewicz; Alessandro Serretti
Journal:  Int J Neuropsychopharmacol       Date:  2019-02-01       Impact factor: 5.176

Review 6.  Modulation of early stress-induced neurobiological changes: a review of behavioural and pharmacological interventions in animal models.

Authors:  E L Harrison; B T Baune
Journal:  Transl Psychiatry       Date:  2014-05-13       Impact factor: 6.222

7.  Depression-Associated Gene Negr1-Fgfr2 Pathway Is Altered by Antidepressant Treatment.

Authors:  Lucia Carboni; Francesca Pischedda; Giovanni Piccoli; Mario Lauria; Laura Musazzi; Maurizio Popoli; Aleksander A Mathé; Enrico Domenici
Journal:  Cells       Date:  2020-07-31       Impact factor: 6.600

  7 in total

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