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

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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.

Introduction

Although most available antidepressants acutely increase monoaminergic neurotransmitter concentration in synapses, their therapeutic efficacy is supposed to be mediated by longer-term molecular adaptations (Berton and Nestler, 2006, Schloss and Henn, 2004). The delay usually observed between start of treatment and clinical improvement supports the hypothesis that the regulation of neurotransmitter availability in brain synapses is followed by a cascade of molecular events which stand at the basis of symptom amelioration. Since the discovery of effective antidepressants, several lines of research were committed to the investigation of long-term effects of antidepressant treatments, with the aim of gaining further knowledge about the molecular basis of their therapeutic efficacy. Antidepressant treatments are reported to induce receptor desensitisation, regulation of G protein and second messengers, modulation of cytoskeletal microtubule dynamics, alterations in gene expression, changes in synaptic plasticity, increased neurotrophic regulation, support of neurogenetic events, modulation of stress responses, and anti-inflammatory actions; these mechanisms are believed to play a role in their therapeutic efficacy (Bianchi et al., 2005, Castren, 2004, Donati and Rasenick, 2003, Dranovsky and Hen, 2006, Malberg and Blendy, 2005, O'Brien et al., 2004, Pittenger and Duman, 2008, Schloss and Henn, 2004, Tanis and Duman, 2007). Recently, the availability of large-scale analysis methods allowed the investigation of antidepressant mechanism of action with unbiased approaches (Carboni et al., 2006b, Conti et al., 2007, Khawaja et al., 2004, Landgrebe et al., 2002, Sillaber et al., 2008). A major challenge facing these lines of research is the choice of a suitable experimental design to discriminate molecular changes related to antidepressant therapeutic efficacy from neutral or even toxicology-related modifications. Selecting an appropriate model is critical since the therapeutic potential of antidepressant treatment is not elicited in healthy people; thus studies in healthy animals may pose difficult challenges to distinguish relevant from non relevant results. Since all complex features of major depressive disorder (MDD) cannot be reproduced in rodents, the choice falls on disease models able to suitably mimic some relevant symptoms and/or reproduce significant etiological factors of the disease (Cryan and Slattery, 2007, Holmes, 2003). MDD is recognised to be associated to an interaction between genetic predisposition and environmental challenges (aan het Rot et al., 2009, Bartolomucci and Leopardi, 2009). Therefore, we addressed our investigations on molecular changes brought about by antidepressant treatment in an animal model including features related to genetic predisposition and environmental challenge. These studies were performed within GENDEP, an integrated project combining large-scale pharmacogenomic studies on depressed patients with preclinical investigations on animal models of disease, focusing on treatment with pro-serotonergic and pro-noradrenergic antidepressants (Uher et al., 2010). In this framework, to gain a better understanding of the molecular changes induced by antidepressant treatment, we have analysed proteomic changes in rat brain regions after chronic administration with a pro-noradrenergic tricyclic antidepressant, nortriptyline (NT) (Gillman, 2007). Wide-scale analyses of protein expression were performed by 2-D electrophoresis on the Flinders Sensitive Line (FSL), a genetically selected rat model of depression that displays good face, predictive and construct validity (Overstreet et al., 2005, Yadid et al., 2000). The Flinders Resistant Line (FRL), which does not show the depressive-like behaviour, was used as a reference, since this strain was derived in parallel with FSL from the same Sprague–Dawley strain (Overstreet et al., 2005). In MDD, the environmental challenges are often related to stressful experiences, especially in early ages (Hammen, 2005, Horesh et al., 2008); we thus included in the experimental design the exposure to maternal separation (MS).

Section snippets

Experimental design

FSL (total n = 36) and FRL (total n = 36) rats were maternally separated from post-natal day (PND) 2 to 14 (n = 19; n = 18 respectively). Control groups were not separated. Both stressed and control rats were split into groups receiving NT or vehicle for 31 days (n = 8–10/group; Fig. 1). One week before the end of treatment, a forced swim test was administered to all rats. At the end of treatment, rats were euthanised and protein extracts were prepared from hippocampus (HIP) and pre-frontal/frontal cortex

Forced swim test

After three weeks of pharmacological treatment rats, were subjected to a forced swim test. Data were analysed with three-way ANOVAs considering strain, pharmacological treatment, the exposure to MS and their interactions as grouping variables. A significant effect was revealed for strain [F(1,64) = 33.99; p < 0.00001] and for treatment [F(1,64) = 7.84; p = 0.0067]. The results obtained when examining the interaction between treatment and MS, although not reaching the cut-off value [F(1,64) = 3.90; p = 

Discussion

In this work we have analysed the effect of the chronic treatment with a pro-noradrenergic antidepressant on protein networks in brain regions putatively involved in the pathophysiology of MDD. The analysis was conducted in an animal model based on the interaction between genetic susceptibility and environmental challenge, both factors playing a key role in the development and potentially the therapy of depressive disorders (Uher, 2008). Proteomic comparisons between treated and untreated rat

Role of the funding source

Funding for this study was provided by the European Commission, contract number LSHB-CT-2003-503428. This work was also supported by the Swedish Medical Research Council grant 10414 (AAM). GlaxoSmithKline provided support in the form of consumable reagents. The funding sources had no further role in the study design; in the collection, analysis and interpretation of data; in the writing of the report; and in the decision to submit the paper for publication.

Contributors

E.D., L.C. and A.A.M. conceived and designed the experiments. C.P. performed proteomics experiments and carried out the statistical and bioinformatics analyses. S.G. and A.E.K. performed the behavioural experiments, L.C. performed the statistical analysis. L.C., C.P. and E.D. wrote the manuscript. All authors contributed to and have approved the final manuscript.

Conflict of interest

C.P., E.D., and L.C. were GlaxoSmithKline full-time employees when this investigation was performed. The other authors declare no conflicts of interests.

The following are the supplementary materials related to this article.

Acknowledgements

The authors wish to thank Weronica Andersson for technical support with the maternal separation procedure and Federico Faggioni and Claudio Righetti for technical support.

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