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Time-dependent activation of MAPK/Erk1/2 and Akt/GSK3 cascades: modulation by agomelatine

Abstract

Background

The novel antidepressant agomelatine, a melatonergic MT1/MT2 agonist combined with 5-HT2c serotonin antagonist properties, showed antidepressant action in preclinical and clinical studies. There is a general agreement that the therapeutic action of antidepressants needs the activation of slow-onset adaptations in downstream signalling pathways finally regulating neuroplasticity. In the last several years, particular attention was given to cAMP-responsive element binding protein (CREB)-related pathways, since it was shown that chronic antidepressants increase CREB phosphorylation and transcriptional activity, through the activation of calcium/calmodulin-dependent (CaM) and mitogen activated protein kinase cascades (MAPK/Erk1/2).

Aim of this work was to analyse possible effects of chronic agomelatine on time-dependent changes of different intracellular signalling pathways in hippocampus and prefrontal/frontal cortex of male rats. To this end, measurements were performed 1 h or 16 h after the last agomelatine or vehicle injection.

Results

We have found that in naïve rats chronic agomelatine, contrary to traditional antidepressants, did not increase CREB phosphorylation, but modulates the time-dependent regulation of MAPK/Erk1/2 and Akt/glycogen synthase kinase-3 (GSK-3) pathways.

Conclusion

Our results suggest that the intracellular molecular mechanisms modulated by chronic agomelatine may be partly different from those of traditional antidepressants and involve the time-dependent regulation of MAPK/Erk1/2 and Akt/GSK-3 signalling pathways. This could exert a role in the antidepressant efficacy of the drug.

Background

Regulation of gene expression represents a major component in the mechanism of action of antidepressants [1]-[3]. Converging evidence shows that a common target of chronic antidepressants is a positive modulation of cAMP-responsive element binding protein (CREB), a transcription factor that regulates the expression of several genes involved in the control of neuroplasticity, circadian rhythms, cell survival and cognition [4]-[9]. CREB transcriptional activity is regulated by phosphorylation at Ser133, which is induced by multiple signalling cascades. In particular, it was shown that the calcium/calmodulin (CaM)-dependent and the mitogen activated protein (MAP) kinase cascades have a crucial role in the activation of CREB consequent to chronic antidepressant treatments [10]-[12].

Moreover, recent preclinical biochemical and behavioural evidence suggested an involvement of the Akt/glycogen synthase kinase-3 (GSK-3) signalling, regulating gene expression through the activation of CREB and other transcription factors, both in the modulation of behaviour and in the mechanism of action of psychoactive drugs [13]-[15]. GSK-3 is a Ser/Thr kinase regulated predominantly in an inhibitory manner through phosphorylation at N-terminal serine residues (Ser21 in GSK-3α and Ser9 in GSK-β) by several protein kinases, including Akt [16].

GSK-3β has been linked to bipolar disorder, depression, and schizophrenia [17]-[19]. It was recently shown that selective serotonin reuptake inhibitors (SSRI) and other 5-HT-related antidepressants (MAO, tricyclic antidepressants) inhibit GSK-3β in many brain regions [14],[20],[21] and GSK-3 inhibitors showed antidepressant-like action in behavioural tests [22],[23]. GSK-3 was also reported to be required for the rapid antidepressant actions of ketamine [24].

The antidepressant agomelatine is an agonist of melatonergic MT1/MT2 receptors and an antagonist of 5-HT2c receptors. The unique and novel pharmacological profile of agomelatine has been found to be effective in the treatment of depressive symptoms, with a rapid stabilisation of circadian rhythms and a favourable tolerability profile. Efficacy of agomelatine in behavioral tests has been previously reported in different animal models [25]-[29]. Thus far, little is known about the signalling pathways affected by agomelatine downstream of receptor modulation. This is especially interesting with regard to the short half-life (1-2 h) of agomelatine, its mechanism of action and the signalling pathways responsible for the changes in gene expression and therapeutic effect.

In this study, we verified whether agomelatine modulates the time-dependent activity of some major signalling pathways known to be regulated by traditional antidepressants. In particular, the expression and activation (phosphorylation) of CREB, αCaM kinase II, MAP kinase/Erk1/2, Akt and GSK-3β were investigated at both nuclear and cytoplasmic level of hippocampus (HPC) and prefrontal and frontal cortex (PFC/FC) of rats treated for three weeks with agomelatine or vehicle and sacrificed 1 h (6 p.m.) or 16 h (9 a.m.) after the last drug administration.

We found that agomelatine, rather than potentiating CREB-related signalling as traditional antidepressants, was able to partly modulate the time-dependent activation of the MAP/Erk1/2 and Akt/GSK cascades, suggesting that its antidepressant properties might be related with a fine-tuning of the time-dependent oscillations in forebrain intracellular signalling.

Results

Chronic agomelatine does not activate CREB

In order to dissect the effect of chronic agomelatine on the signalling pathways regulating CREB activity and its putative time-dependent modulation, rats were chronically treated with vehicle or agomelatine (once daily for 21 days) at 5 p.m. and sacrificed after 1 h (6 p.m.) or 16 hours (9 a.m). CREB expression and activation (phosphorylation at Ser133) were measured in PFC/FC and HPC nuclear fractions. The two-way ANOVA highlighted no time-related changes in CREB expression or phosphorylation levels between 1 h or 16 h post-treatment and, interestingly, differently from traditional antidepressants [11], chronic agomelatine did not induce any significant changes in CREB expression or phosphorylation (Figure 1A,B for PFC/FC and Figure 2A,B for HPC).

Figure 1
figure 1

Time-dependent fluctuation of CREB, αCaM kinase II, MAPK/Erk1/2 in PFC/FC nuclei. Modulation by chronic agomelatine. Expression levels of CREB (A), αCaM kinase II (C), MAPK/Erk1 (E) and MAPK/Erk2 (G) and phosphorylation levels of CREB at Ser133(B), αCaM kinase II at Thr286(D), MAPK/Erk1 at Thr202/204(F) and MAPK/Erk2 at Thr202/204(H) in nuclear fraction of PFC/FC from rats chronically treated with vehicle (VEH, black bar) or agomelatine (AGO, white bar) and sacrificed 1 or 16 h after the last injection. Data are expressed as % intensity units/mm2 (mean ± S.E.M.). Bonferroni post-hoc test (following 2-way ANOVA): *p < 0.05 VEH treated rats sacrificed 16 h after last injection vs. VEH treated rats sacrificed 1 h after last injection; § p < 0.05 AGO 16 h after last injection vs. AGO 1 h after last injection; §§ p < 0.01 AGO 16 h after last injection vs. AGO 1 h after last injection (n =8 rats/group).

Figure 2
figure 2

Time-dependent fluctuation of CREB, αCaM kinase II, MAPK/Erk1/2 in HPC nuclei. Modulation by chronic agomelatine. Expression levels of CREB (A), αCaM kinase II (C), MAPK/Erk1 (E) and MAPK/Erk2 (G) and phosphorylation levels of CREB at Ser133(B), αCaM kinase II at Thr286(D), MAPK/Erk1 at Thr202/204(F) and MAPK/Erk2 at Thr202/204(H) in nuclear fraction of HPC from rats chronically treated with vehicle (VEH, black bar) or agomelatine (AGO, white bar) and sacrificed 1 or 16 h after the last injection. Data expressed as above. Statistics as above. **p < 0.01 VEH 16 h after last injection vs. VEH 1 h after last injection; §§§p < 0.001 AGO 16 h after last injection vs. AGO 1 h after last injection (n =8 rats/group).

Chronic agomelatine modulates time-dependent changes of MAPK/Erk1/2 activation in frontal/prefrontal cortex but not in hippocampus

Different intracellular signalling cascades, including CaM kinases and MAP kinases, are known to modulate CREB phosphorylation in the action of antidepressants [10]-[12]. To investigate whether the lack of CREB activation after chronic agomelatine was dependent on a lack of activation or a dysregulation of intracellular signalling cascades regulating CREB phosphorylation, we assessed the expression and phosphorylation levels of αCaM Kinase II and MAPK/Erk1/2, in PFC/FC and HPC nuclear fractions following agomelatine treatment.

Interestingly, in both PFC/FC and HPC, we found that expression and phosphorylation levels of αCaMKII were unmodified by both time and agomelatine (Figure 1C, D for PFC/FC; Figure 2C, D for HPC). On the contrary, the activation of MAPK/Erk1/2, through phosphorylation at Thr202/Tyr204 residues, was found to be significantly lower in animals sacrificed in the morning (9 a.m.), than in the evening (6 p.m.), in nuclei from both PFC/FC (2-way ANOVA, significant effect of time, pERK1: F(1,26) = 12.88, p < 0.01; pERK2: F(1,26) = 18.55, p < 0.001) and HPC (2-way ANOVA: significant effect of time, pERK1: F(1,26) = 28.50, p < 0.0001; pERK2: F(1,26) = 31.72, p < 0.0001) (Figure 1F,H for PFC/FC; Figure 2F,H for HPC).

Moreover, in PFC/FC, the 2-Way ANOVA highlighted a significant effect also of treatment for pErk2 (F(1,26) = 4.49, p < 0.05) (Figure 1H), and the reduction of pErk1 levels at 16 h was significant only for treated rats (Bonferroni post-hoc test: AGO 16 h vs. 1 h -30.31% p < 0.05) (Figure 1F), thus suggesting that agomelatine reduces Erk2 activation and potentiates the time-dependent modulation of pErk1 in PFC/FC. On the contrary, the time-dependent changes in MAPK/Erk1/2 phosphorylation were similar in HPC of treated and untreated animals (Figure 2F,H).

Modulation of time-dependent activation of the Akt/GSK-3 pathway by chronic agomelatine in frontal/prefrontal cortex and hippocampus

To assess whether agomelatine can modulate the Akt/GSK-3 signalling pathway, we measured total expression and phosphorylation levels of Akt and GSK-3β in nuclear and cytosolic fractions from PFC/FC and HPC of rats chronically treated with agomelatine and sacrificed at 6 p.m. or 9 a.m. As described in details below, although the expression levels of Akt and GSK-3β were unmodified by chronic agomelatine, the phosphorylation levels of the kinases were partly and selectively regulated by the drug, depending on the brain area and subcellular fraction analysed (Figures 3, 4, 5, 6). Interestingly, in some cases, chronic agomelatine was able to modulate the activation of Akt/GSK-3 phosphorylation, as shown below.

Figure 3
figure 3

Time-dependent fluctuation of Akt/GSK-3 signalling pathway in PFC/FC nuclear fraction. Modulation by chronic agomelatine. Expression levels of Akt (A) and phosphorylation levels of Akt at Thr308(B) and at Ser473(C); expression levels of GSK-3 β (D); phosphorylation levels of GSK-3 β at Tyr216(E) and at Ser9(F) in nuclear fraction of PFC/FC from rats chronically treated with vehicle (VEH, black bar) or agomelatine (AGO, white bar) and sacrificed 1 or 16 h after the last injection. Data expressed as above. Statistics as above. **p < 0.01, ***p < 0.001 VEH 16 h after last injection vs. VEH 1 h after last injection; § p <0.01 AGO 16 h after last injection vs. AGO 1 h after last injection (n =8 rats/group).

Figure 4
figure 4

Time-dependent fluctuation of Akt/GSK-3 signalling pathway in PFC/FC cytosolic fraction and modulation by chronic agomelatine. Expression levels of Akt (A) and phosphorylation levels of Akt at Thr308(B) and at Ser473(C); expression levels of GSK-3 β (D); phosphorylation levels of GSK-3 β at Tyr216(E) and at Ser9(F) in cytosolic fraction of PFC/FC from rats chronically treated with vehicle (VEH, black bar) or agomelatine (AGO, white bar) and sacrificed 1 or 16 h after the last injection. Data expressed as above. Statistics as above. *p < 0.05 VEH 16 h after last injection vs. VEH 1 h after last injection; §p < 0.05 AGO 16 h after last injection vs. AGO 1 h after last injection (n =8 rats/group).

Figure 5
figure 5

Time-dependent fluctuation of Akt/GSK-3 signalling pathway in HPC nuclear fraction and modulation by chronic agomelatine. Expression levels of Akt (A) and phosphorylation levels of Akt at Thr308(B) and at Ser473(C); expression levels of GSK-3 β (D); phosphorylation levels of GSK-3 β at Tyr216(E) and at Ser9(F) in nuclear fraction of HPC from rats chronically treated with vehicle (VEH, black bar) or agomelatine (AGO, white bar) and sacrificed 1 or 16 h after the last injection. Data expressed as above. Statistics as above. **p < 0.01 VEH 16 h after last injection vs. VEH 1 h after last injection; §p < 0.05, §§p < 0.01 AGO 16 h after last injection vs. AGO 1 h after last injection (n =8 rats/group).

Figure 6
figure 6

Time-dependent fluctuation of Akt/GSK-3 signalling pathway in HPC cytosolic fraction and modulation by chronic agomelatine. Expression levels of Akt (A) and phosphorylation levels of Akt at Thr308(B) and at Ser473(C); expression levels of GSK-3 β (D); phosphorylation levels of GSK-3 β at Tyr216(E) and at Ser9(F) in cytosolic fraction of HPC from rats chronically treated with vehicle (VEH, black bar) or agomelatine (AGO, white bar) and sacrificed 1 or 16 h after the last injection. Data expressed as above. Statistics as above. *p < 0.05 VEH 16 h after last injection vs. VEH 1 h after last injection; §§p < 0.01 AGO 16h after last injection vs. AGO 1h after last injection (n =8 rats/group).

In nuclear fraction from PFC/FC, the 2-way ANOVA showed a significant effect of time on Akt phosphorylation at Thr308, which is decreased in rats sacrificed in the morning (F(1,28) = 17.43 p < 0.001) (Figure 3). Interestingly, post-hoc test was significant only for vehicle treated rats (Bonferroni post-hoc test: VEH 16 h vs. 1 h -33.40% p < 0.001) (Figure 3B), suggesting that agomelatine dampens the time-dependent modulation of phospho-Thr308 Akt. Instead, 2-way ANOVA reported a significant effect of both time and treatment for phospho-Ser473 Akt, whose levels were decreased by agomelatine and were significantly lower in both groups of animals at 16 h vs 1 h (2-way ANOVA: time F(1,28) = 21.54 p < 0.0001, treatment F(1,28) = 5.96 p < 0.05; Bonferroni post-hoc test: VEH 16 h vs. 1 h -28.81% p < 0.01, AGO 16 h vs. 1 h -29.39% p < 0.01) (Figure 3C).

A significant effect of time was also found in nuclear fraction from PFC/FC for phospho-Ser9 GSK-3β, which levels were lower in both agomelatine and vehicle treated rats sacrificed in the morning (2-way ANOVA: time F(1,28) = 22.06 p < 0.0001; Bonferroni post-hoc tests: VEH 16 h vs. 1 h -13.23% p < 0.01, AGO 16 h vs. 1 h -15.01% p < 0.01) (Figure 3F).

In cytosol from PFC/FC, a significant effect of time was found on phospho-Ser473 Akt levels (2-way ANOVA: time F(1,28) = 8.33 p < 0.01), while post-hoc comparisons were significant only in vehicle treated rats (Bonferroni post-hoc test: VEH 16 h vs. 1 h -15.44% p < 0.05) (Figure 4C). Moreover, 2-way ANOVA showed a significant effect of time on phosphorylation of GSK-3β at Tyr216 (F(1,28) = 12.54 p < 0.01) and the post-hoc test highlighted a significant increase at 16 h selectively in rats chronically treated with agomelatine (Bonferroni post-hoc test: AGO 16 h vs. 1 h +27.33% p < 0.05) (Figure 4E). No significant differences were found in the phosphorylation state of both pTyr308 of Akt and pSer9 of Gsk-3β in cytosol from PFC/FC (Figure 4B and F, respectively).

A different pattern was found in HPC. Indeed, in the nuclear fraction from HPC, while phospho-Thr308 Akt levels were similarly reduced in the morning in all animals (2-way ANOVA: significant effect of time F(1,28) = 21.92 P < 0.0001; Bonferroni post-hoc tests: VEH 16 h vs. 1 h -29.79% p < 0.01, AGO 16 h vs. 1 h -23.23% p < 0.05) (Figure 5B), the time-dependent reduction of phosphorylation of Akt at Ser473 was significant only in rats treated with agomelatine (2-way ANOVA: significant effect of time F(1,28) = 14.89 p < 0.001; Bonferroni post-hoc test: AGO 16 h vs. 1 h -27.47% p < 0.01) (Figure 5C). No differences were found in the phosphorylation state of both pTyr216 and Ser9 of Gsk-3β in HPC nuclear fraction (Figure 5E and F, respectively).

In the cytosolic fraction from the same area, the 2-way ANOVA highlighted a significant effect of time for phospho-Thr308 Akt levels (time F(1,28) = 6.19 P < 0.01) (Figure 6B) and of both time and treatment/time interaction for phospho-Ser473 Akt (time F(1,28) = 8.33 P < 0.01; treatment/time interaction F(1,28) = 4.75 P < 0.05) (Figure 6C), thus suggesting that agomelatine exerts a different effect at 16 h vs 1 h. Post-hoc test showed a significant morning decrease of phospho-Thr308 Akt levels only in vehicle, but not in agomelatine treated rats (Bonferroni post-hoc test: VEH 1 h vs. 16 h -14.30% p < 0.05) (Figure 6B) and a significant and marked reduction of phospho-Ser473 Akt levels at 16 h (Bonferroni post-hoc test: AGO 1 h vs. 16 h -41.12% p < 0.01) (Figure 6C). No difference was found in GSK-3β phosphorylation at both Tyr216 and Ser9 residues in HPC cytosol (Figure 6E,F).

For clarity, all significant changes in time-dependent regulation of MAPK/Erk1/2 and Akt/GSK-3 pathways, in nuclei and cytosol from PFC/FC and HPC of vehicle or agomelatine treated rats, and relative statistics are resumed in Table 1.

Table 1 Summarizing significant changes in time-dependent regulation of MAPK/Erk1/2 and Akt/GSK-3 pathways, in nuclei and cytosol from PFC/FC and HPC of vehicle (VHE) or agomelatine (AGO) treated rats, sacrificed 1 h or 16 h after last injection

Discussion

The study of the effects of agomelatine on intracellular signalling pathways modulating CREB activation demonstrated that, differently from other antidepressants that activate the transcription factor CREB, mainly through phosphorylation by αCaM kinase II and IV and MAPK/Erk1/2 cascades [11], chronic agomelatine did not act on these molecular mechanisms. Indeed, we did not observe any significant modification in both CREB and αCaM kinase II activation in nuclear fraction from PFC/FC or HPC. Our results are in line with those of Morley-Fletcher et al. [30], who recently showed in the same rat strain, that chronic agomelatine, although able to reverse the reduction of CREB phosphorylation induced by prenatal stress in rats, had no effect on CREB phosphorylation in non-stressed animals.

A number of previous studies have shown that both acute and chronic agomelatine increase the expression of brain-derived neurotrophic factor and of other neuroplastic molecules such as fibroblast growth factor, and activity-regulated cytoskeleton-associated protein [31]-[35], suggesting that agomelatine could exert neurotrophic and antidepressant effects through the activation of molecular mechanisms partly different from those of other drugs [11],[27].

Interestingly, we observed time-dependent changes in the activation of MAPK/Erk1/2 kinases in both PFC/FC and HPC. Indeed, we found significantly lower phosphorylation levels of both kinases in animals sacrificed in the morning as compared to those sacrificed in the evening.

A circadian modulation of MAPK/Erk1/2 activity was recently demonstrated in hippocampus and shown to contribute to memory consolidation [36]-[38]. Thus, according to our present results, time-related fluctuations in nuclear Erk1/2 activation are present also in PFC/FC, where chronic treatment with agomelatine seems to partly modulate the physiological changes. Further studies are needed to better clarify the circadian nature of these modifications and the potential of agomelatine in the modulation of the MAPK/Erk1/2 signalling pathways.

We also observed a time-dependent modulation of Akt and GSK-3β activation through phosphorylation that was selectively different depending on the brain area and the subcellular fraction analysed. In particular, we found that Akt phosphorylation was lower in PFC/FC and HPC of animals sacrificed in the morning (16 h after the last injection). This down-regulation of the kinase activation is particularly evident in the nuclear fraction, suggesting a possible involvement in the regulation of gene transcription. Moreover, since the Ser9 of GSK-3β is phosphorylated by Akt, the reduced phosphorylation of GSK-3β at Ser9 observed in nuclei from PFC/FC could be linked to the morning decrease of Akt activity observed in the same fraction. Although previous studies have shown a circadian modulation of Akt and GSK-3 activity, the functional role of these fluctuations is poorly understood. Genetic manipulations, leading to increased Akt activity in neurons of the suprachiasmatic nucleus, lengthen the circadian period of locomotor activity, whereas the reduction of Akt signalling shortens it [39]. Moreover, it was recently demonstrated that both genetic and pharmacological reduction of GSK-3 activity in mouse embryonic fibroblasts have a specific effect on the circadian transcriptional oscillation, showing a phase delay in the transcription of the clock gene mPer2 [40].

Our data suggest that chronic treatment with agomelatine reduces phospho-Akt at Ser473 in nuclear fraction of PFC/FC. More interestingly, chronic agomelatine was also shown to partly modulate the time-dependent regulation of Akt and GSK-3β activity. Indeed, agomelatine treatment dampened the morning reduction of Akt phosphorylation at Thr308 in nuclear fraction and at Ser473 in cytosol of PFC/FC. Moreover, agomelatine induced a significant increase in pTyr216 GSK-3β in cytosol from PFC/FC and a decrease of pSer473 Akt in nuclei from HPC 16 h after the last drug injection. Finally, in the cytosolic fraction from HPC of rats sacrificed in the morning, agomelatine dampened the phosphorylation levels of Akt at Thr308 and induced a significant decrease of pSer473 Akt.

Agomelatine treatment for 21 days was previously described to induce an increase in Erk1/2, Akt and GSK-3β phosphorylation after chronic treatment in whole hippocampal extract from HPC of rats sacrificed 16h after last drug administration [31]. The following factors might contribute to explaining the apparent contrasting findings compared to our present results: 1- different rat strains were used, Sprague Dawley rats in our study vs. Wistar rats in the previous study; 2- different antibodies were used; 3- the cellular fractions analysed in the two studies were different (nuclear and cytosol vs total extract). In this regard, it is well known that the subcellular distribution and compartmentalization of ERK-MAPKs between cytosol and nucleus play a key role in the regulation of activity and specificity of the kinases [41],[42].

Conclusion

In summary, we have shown that chronic treatment with the antidepressant agomelatine does not activate CREB and CREB-related signalling in nuclei and cytosol from both HPC and PFC/FC of naïve rats. This is of particular interest because suggests that the antidepressant effect of agomelatine could be mediated by different molecular mechanisms with respect to classical antidepressants. Although further studies are warranted to identify the different pattern of intracellular signalling pathways modulated by agomelatine, this difference might contribute to the therapeutic benefits.

Moreover, although further studies are required to reveal whether MAPK/Erk1/2 and Akt/GSK-3 signalling pathways could play a role in the circadian control in HPC and PFC/FC, the present work has provided clear evidence of a time-dependent modulation of these pathways in both brain areas. Finally, considering the effects of agomelatine on the time-dependent regulation of Erk1/2, Akt and GSK-3β phosphorylation levels, it can be speculated that this could be a target in the antidepressant effect induced by the drug.

Methods

Animals

Twenty-four male Sprague-Dawley rats (175-200 g) were purchased from Charles River (Calco, Italy). Animals were kept at constant temperature (22°C) with a regular 12 h light/dark cycle (light-on at 7 a.m.). The rats were housed in stable groups of four compatible individuals, in 800 cm3 cages, with sawdust bedding, adequate environmental enrichment and ad libitum access to food and water. The wellbeing of all animals was daily monitored.

All animal procedures were conducted according to current regulations for animal experimentation in Italy (Decreto Legislativo 116/1992) and the European Union (European Communities Council Directive 2010/63/EU), were approved by the Italian Ministry of Health (Decreto Legislativo 295/2012-A) and the whole study adheres to the ARRIVE guidelines.

Drug treatments

Rats were randomly divided in 4 experimental groups (8 animals each): 1- Chronic vehicle (hydroxyethylcelullose 1%, 1 ml/kg, i.p.) sacrificed 1 h after the last injection; 2- Chronic vehicle sacrificed 16 h after the last injection; 3- Chronic agomelatine (40 mg/kg i.p.) sacrificed 1 h after the last injection; 4- Chronic agomelatine sacrificed 16 h after the last injection. Treatments were given once a day for 21 days, at 5.00 p.m. (2 h before the start of the dark cycle, 7 p.m.) The HPC and PFC/FC were quickly dissected on ice and processed for subsequent experiments.

Preparation of subcellular fractions for signalling studies

Individual HPC and PFC/FC were homogenized in 10 volumes of 0.28 M sucrose buffered at pH 7.4 with Tris, containing 20 mM NaF, 5 mM Na2H2P2O7, 1 mM Na3VO4 (protein phosphatase inhibitors), and 2 μl/ml of protease inhibitor cocktail (Sigma-Aldrich S.r.l., Milan, Italy), using a glass-teflon tissue grinder (clearance 0.25 mm) in order to obtain the total homogenate fraction [11]. The homogenate was further centrifuged (5 min, 1000 g at 4°C) and the resulting pellet (nuclear fraction) was resuspended in lysis buffer (120 mM NaCl, 20 mM HEPES pH 7.4, 0.1 mM EGTA, 0.1 mM DTT, containing 20 mM NaF, 5 mM Na2H2P2O7, 1 mM Na3VO4, and 2 μl/ml of protease inhibitor cocktail). To obtain the cytosolic fraction, the supernatant of the 1000 g centrifugation was ultracentrifuged at 135,000 g for 1 h. Each fraction was immediately stored at -80°C after being obtained. Protein content of subcellular fractions was evaluated by using the BCA Protein Assay (Thermo Fisher Scientific SAS, Illkirch Cedex, France). Purity of subcellular fractions was checked by measuring subcellular distribution of protein markers, as previously shown [43].

Western blot analysis

Western blot analysis was carried out as previously described [11],[44], by incubating PVDF membranes, containing electrophoresed proteins from either nuclear or cytosolic fractions, with antibodies for CREB (Cat# 9197L RRID:AB_2245415), phospho-Ser133 CREB (Cat# 9198L RRID:AB_2085876), p44/42 MAPK (Cat# 9102L RRID:AB_823494), phospho-p44/42 MAPK (Thr202/Tyr204) (Cat# 8201S RRID:AB_10695902), Akt (Cat# 9272 RRID:AB_329827; 1:2000), phospho-Thr308 Akt (Cat# 9275L RRID:AB_329829) and phospho-Ser473 Akt (Cat# 9271L RRID:AB_329826), (all from Cell Signalling Technology Inc, Danvers, MA) (all 1:1000); αCaMKII 1:3000 (Millipore Cat# 05-532 RRID:AB_309787), total GSK-3α and β (EMD Millipore Cat# MABS77 RRID:AB_11205766; 1:1000), phospho-Tyr216 GSK-3β (EMD Millipore Cat# 05-413 RRID:AB_309721; 1:1000) and phospho-Ser9 GSK-3β (Millipore Cat# 07-835 RRID:AB_2115334; 1:1000) (all from Millipore S.p.A., Vimodrone, Italy), phospho-Thr286 αCaMKII (Thermo Fisher Scientific Cat# PA1-4614 RRID:AB_2259386; 1:2000) and β-actin 1:5000 (Sigma-Aldrich Cat# A1978 RRID:AB_476692). Following incubation with peroxidase-coupled secondary antibodies, protein bands were detected by using ECL (GE Healthcare Europe GmbH, Milano, Italy). All protein bands used were within linear range of standard curves, and both total expression and phosphorylation levels were normalized for β-actin level in the same membrane. Standardization and quantitation were performed with Quantity One software (BioRad Laboratories S.r.l., Segrate, Italy).

Statistical analysis

Two-way ANOVA was employed for the analysis of the experiments, with treatment and time from the last administration as independent factors. When appropriate, further differences were analyzed by Bonferroni post-hoc test. Significance was assumed at p < 0.05. Statistical analysis of the data was carried out using GraphPad Prism4 (GraphPad Software Inc., USA). For the sake of simplicity in the graphs were reported only the significant Bonferroni post-hoc comparisons’ p values; the complete results of the 2-way ANOVA are described in the text. Data are presented as means ± standard error (SEM), with each individual group composed of 8 samples. For graphic clarity, optical densities from experimental groups were expressed and presented as a mean percentage of the vehicle treated group.

Abbreviations

αCaM kinase II:

Calcium/calmodulin kinase type α

a.m.:

Ante meridian

AGO:

Agomelatine

CaM:

Calcium/calmodulin kinase

CREB:

CAMP-responsive element binding protein

5-HT:

Serotonin

GSK-3:

Glycogen synthase kinase-3

GSK-3β:

Glycogen synthase kinase-3 beta

HPC:

Hippocampus

MAP kinase:

Mitogen activated protein

MAP kinase/Erk1/2:

Mitogen activated protein kinase Erk1 and Erk2

MT1/MT2:

Melatonin receptor 1/melatonin receptor 2

p.m:

post meridian

PFC/FC:

Prefrontal and frontal cortex

VEH:

Vehicle

References

  1. Duman RS: Synaptic plasticity and mood disorders. Mol Psychiatry. 2002, 7 (Suppl 1): S29-S34. 10.1038/sj.mp.4001016.

    Article  CAS  PubMed  Google Scholar 

  2. Krishnan V, Nestler EJ: Linking molecules to mood: new insight into the biology of depression. Am J Psychiatry. 2010, 167: 1305-1320. 10.1176/appi.ajp.2009.10030434.

    Article  PubMed Central  PubMed  Google Scholar 

  3. Racagni G, Popoli M: Cellular and molecular mechanisms in the long-term action of antidepressants. Dialogues Clin Neurosci. 2010, 10: 385-400.

    Google Scholar 

  4. Popoli M, Mori S, Brunello N, Perez J, Gennarelli M, Racagni G: Serine/threonine kinases as molecular targets of antidepressants: implications for pharmacological treatment and pathophysiology of affective disorders. Pharmacol Ther. 2001, 89: 149-170. 10.1016/S0163-7258(00)00108-X.

    Article  CAS  PubMed  Google Scholar 

  5. Blendy JA: The role of CREB in depression and antidepressant treatment. Biol Psychiatry. 2006, 59: 1144-1150. 10.1016/j.biopsych.2005.11.003.

    Article  CAS  PubMed  Google Scholar 

  6. Carlezon WA, Duman RS, Nestler EJ: The many faces of CREB. Trends Neurosci. 2005, 28: 436-445. 10.1016/j.tins.2005.06.005.

    Article  CAS  PubMed  Google Scholar 

  7. Tardito D, Perez J, Tiraboschi E, Musazzi L, Racagni G, Popoli M: Signaling pathways regulating gene expression, neuroplasticity, and neurotrophic mechanisms in the action of antidepressants: a critical overview. Pharmacol Rev. 2006, 58: 115-134. 10.1124/pr.58.1.7.

    Article  CAS  PubMed  Google Scholar 

  8. McClung CA, Nestler EJ: Neuroplasticity mediated by altered gene expression. Neuropsychopharmacol. 2008, 33: 3-17. 10.1038/sj.npp.1301544.

    Article  CAS  Google Scholar 

  9. Pittenger C, Duman RS: Stress, depression, and neuroplasticity: a convergence of mechanisms. Neuropsychopharmacol. 2008, 33: 88-109. 10.1038/sj.npp.1301574.

    Article  CAS  Google Scholar 

  10. Tiraboschi E, Tardito D, Kasahara J, Moraschi S, Pruneri P, Gennarelli M, Racagni G, Popoli M: Selective phosphorylation of nuclear CREB by fluoxetine is linked to activation of CaM kinase IV and MAP kinase cascades. Neuropsychopharmacol. 2004, 29: 1831-1840. 10.1038/sj.npp.1300488.

    Article  CAS  Google Scholar 

  11. Tardito D, Musazzi L, Tiraboschi E, Mallei A, Racagni G, Popoli M: Early induction of CREB activation and CREB-regulating signalling by antidepressants. Int J Neuropsychopharmacol. 2009, 12: 1367-1381. 10.1017/S1461145709000376.

    Article  CAS  PubMed  Google Scholar 

  12. Alboni S, Benatti C, Capone G, Corsini D, Caggia F, Tascedda F, Mendlewicz J, Brunello N: Time-dependent effects of escitalopram on brain derived neurotrophic factor (BDNF) and neuroplasticity related targets in the central nervous system of rats. Eur J Pharmacol. 2010, 643: 180-187. 10.1016/j.ejphar.2010.06.028.

    Article  CAS  PubMed  Google Scholar 

  13. Beaulieu JM, Gainetdinov RR, Caron MG: Akt/GSK3 signaling in the action of psychotropic drugs. Annu Rev Pharmacol Toxicol. 2009, 49: 327-347. 10.1146/annurev.pharmtox.011008.145634.

    Article  CAS  PubMed  Google Scholar 

  14. Li X, Jope RS: Is glycogen synthase kinase-3 a central modulator in mood regulation?. Neuropsychopharmacol. 2010, 35: 2143-2154. 10.1038/npp.2010.105.

    Article  CAS  Google Scholar 

  15. Machado-Vieira R, Salvadore G, DiazGranados N, Ibrahim L, Latov D, Wheeler-Castillo C, Baumann J, Henter ID, Zarate CA: New therapeutic targets for mood disorders. ScientificWorldJournal. 2010, 10: 713-726. 10.1100/tsw.2010.65.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  16. Grimes CA, Jope RS: The multifaceted roles of glycogen synthase kinase 3beta in cellular signaling. Prog Neurobiol. 2001, 65: 391-426. 10.1016/S0301-0082(01)00011-9.

    Article  CAS  PubMed  Google Scholar 

  17. Beaulieu JM: A role for Akt and glycogen synthase kinase-3 as integrators of dopamine and serotonin neurotransmission in mental health. J Psychiatry Neurosci. 2012, 37: 7-16. 10.1503/jpn.110011.

    Article  PubMed Central  PubMed  Google Scholar 

  18. Emamian ES, Hall D, Birnbaum MJ, Karayiorgou M, Gogos JA: Convergent evidence for impaired AKT1-GSK3beta signaling in schizophrenia. Nat Genet. 2004, 36: 131-137. 10.1038/ng1296.

    Article  CAS  PubMed  Google Scholar 

  19. Li X, Zhu W, Roh MS, Friedman AB, Rosborough K, Jope RS: In vivo regulation of glycogen synthase kinase-3beta (GSK3beta) by serotonergic activity in mouse brain. Neuropsychopharmacol. 2004, 29: 1426-1431. 10.1038/sj.npp.1300439.

    Article  CAS  Google Scholar 

  20. Beaulieu JM, Zhang X, Rodriguiz RM, Sotnikova TD, Cools MJ, Wetsel WC, Gainetdinov RR, Caron MG: Role of GSK3 beta in behavioral abnormalities induced by serotonin deficiency. Proc Natl Acad Sci U S A. 2008, 105: 1333-1338. 10.1073/pnas.0711496105.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  21. Polter AM, Yang S, Jope RS, Li X: Functional significance of glycogen synthase kinase-3 regulation by serotonin. Cell Signal. 2012, 24: 265-271. 10.1016/j.cellsig.2011.09.009.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  22. Gould TD, Einat H, Bhat R, Manji HK: AR-A014418, a selective GSK-3 inhibitor, produces antidepressant-like effects in the forced swim test. Int J Neuropsychopharmacol. 2004, 7: 387-390. 10.1017/S1461145704004535.

    Article  CAS  PubMed  Google Scholar 

  23. Rosa AO, Kaster MP, Binfaré RW, Morales S, Martín-Aparicio E, Navarro-Rico ML, Martinez A, Medina M, García AG, López MG, Rodrigues AL: Antidepressant-like effect of the novel thiadiazolidinone NP031115 in mice. Prog Neuropsychopharmacol Biol Psychiatry. 2008, 32: 1549-1556. 10.1016/j.pnpbp.2008.05.020.

    Article  CAS  PubMed  Google Scholar 

  24. Beurel E, Song L, Jope RS: Inhibition of glycogen synthase kinase-3 is necessary for the rapid antidepressant effect of ketamine in mice. Mol Psychiatry. 2011, 16: 1068-1070. 10.1038/mp.2011.47.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  25. De Bodinat C, Guardiola-Lemaitre B, Mocaër E, Renard P, Muñoz C, Millan MJ: Agomelatine, the first melatonergic antidepressant: discovery, characterization and development. Nat Rev Drug Discov. 2010, 8: 628-642.

    Google Scholar 

  26. Popoli M: Agomelatine: innovative pharmacological approach in depression. CNS Drugs. 2009, 23: 27-34. 10.2165/11318640-000000000-00000.

    Article  CAS  PubMed  Google Scholar 

  27. Racagni G, Riva MA, Molteni R, Musazzi L, Calabrese F, Popoli M, Tardito D: Mode of action of agomelatine: synergy between melatonergic and 5-HT2C receptors. World J Biol Psychiatry. 2011, 12: 574-587. 10.3109/15622975.2011.595823.

    Article  PubMed  Google Scholar 

  28. Smeraldi E, Delmonte D: Agomelatine in depression. Expert Opin Drug Saf. 2013, 12: 873-880. 10.1517/14740338.2013.828690.

    Article  CAS  PubMed  Google Scholar 

  29. Guardiola-Lemaitre B, De Bodinat C, Delagrange P, Millan MJ, Munoz C, Mocaër E: Agomelatine: mechanism of action and pharmacological profile in relation to antidepressant properties. Br J Pharmacol. 2014, 171: 3604-3619. 10.1111/bph.12720.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  30. Morley-Fletcher S, Mairesse J, Soumier A, Banasr M, Fagioli F, Gabriel C, Mocaer E, Daszuta A, McEwen B, Nicoletti F, Maccari S: Chronic agomelatine treatment corrects behavioral, cellular, and biochemical abnormalities induced by prenatal stress in rats. Psychopharmacology (Berl). 2011, 217: 301-313. 10.1007/s00213-011-2280-x.

    Article  CAS  Google Scholar 

  31. Soumier A, Banasr M, Lortet S, Masmejean F, Bernard N, Kerkerian-Le-Goff L, Martinez A, Medina M, García AG, López MG, Rodrigues AL: Mechanisms contributing to the phase-dependent regulation of neurogenesis by the novel antidepressant, agomelatine, in the adult rat hippocampus. Neuropsychopharmacol. 2009, 34: 2390-2403. 10.1038/npp.2009.72.

    Article  CAS  Google Scholar 

  32. Païzanis E, Renoir T, Lelievre V, Saurini F, Melfort M, Gabriel C, Barden N, Mocaer E, Hamon M, Lanfumey L: Behavioural and neuroplastic effects of the new-generation antidepressant agomelatine compared to fluoxetine in glucocorticoid receptor-impaired mice. Int J Neuropsychopharmacol. 2010, 13: 759-774. 10.1017/S1461145709990514.

    Article  PubMed  Google Scholar 

  33. Molteni R, Calabrese F, Pisoni S, Gabriel C, Mocaer E, Racagni G, Riva MA: Synergistic mechanisms in the modulation of the neurotrophin BDNF in the rat prefrontal cortex following acute agomelatine administration. World J Biol Psychiatry. 2010, 11: 148-153. 10.3109/15622970903447659.

    Article  PubMed  Google Scholar 

  34. Calabrese F, Molteni R, Gabriel C, Mocaer E, Racagni G, Riva MA: Modulation of neuroplastic molecules in selected brain regions after chronic administration of the novel antidepressant agomelatine. Psychopharmacology (Berl). 2011, 215: 267-275. 10.1007/s00213-010-2129-8.

    Article  CAS  Google Scholar 

  35. Ladurelle N, Gabriel C, Viggiano A, Mocaër E, Baulieu EE, Bianchi M: Agomelatine (S20098) modulates the expression of cytoskeletal microtubular proteins, synaptic markers and BDNF in the rat hippocampus, amygdala and PFC. Psychopharmacology (Berl). 2012, 221: 493-509. 10.1007/s00213-011-2597-5.

    Article  CAS  Google Scholar 

  36. Cao R, Anderson FE, Jung YJ, Dziema H, Obrietan K: Circadian regulation of mammalian target of rapamycin signaling in the mouse suprachiasmatic nucleus. Neuroscience. 2011, 181: 79-88. 10.1016/j.neuroscience.2011.03.005.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  37. Eckel-Mahan KL, Phan T, Han S, Wang H, Chan GC, Scheiner ZS, Storm DR: Circadian oscillation of hippocampal MAPK activity and cAMP: implications for memory persistence. Nat Neurosci. 2008, 11: 1074-1082. 10.1038/nn.2174.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  38. Phan TX, Chan GC, Sindreu CB, Eckel-Mahan KL, Storm DR: The diurnal oscillation of MAP (mitogen-activated protein) kinase and adenylyl cyclase activities in the hippocampus depends on the suprachiasmatic nucleus. J Neurosci. 2011, 31: 10640-10647. 10.1523/JNEUROSCI.6535-10.2011. Erratum in: J Neurosci 2011, 31:11744

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  39. Zheng X, Sehgal A: AKT and TOR signaling set the pace of the circadian pacemaker. Curr Biol. 2010, 20: 1203-208. 10.1016/j.cub.2010.05.027.

    Article  PubMed Central  CAS  PubMed  Google Scholar 

  40. Kaladchibachi SA, Doble B, Anthopoulos N, Woodgett JR, Manoukian AS: Glycogen synthase kinase 3, circadian rhythms, and bipolar disorder: a molecular link in the therapeutic action of lithium. J Circadian Rhythms. 2007, 5: 3-10.1186/1740-3391-5-3.

    Article  PubMed Central  PubMed  Google Scholar 

  41. Roskoski R: ERK1/2 MAP kinases: structure, function, and regulation. Pharmacol Res. 2012, 66: 105-143. 10.1016/j.phrs.2012.04.005.

    Article  CAS  PubMed  Google Scholar 

  42. Zehorai E, Yao Z, Plotnikov A, Seger R: The subcellular localization of MEK and ERK: a novel nuclear translocation signal (NTS) paves a way to the nucleus. Mol Cell Endocrinol. 2010, 314: 213-220. 10.1016/j.mce.2009.04.008.

    Article  CAS  PubMed  Google Scholar 

  43. Barbiero VS, Giambelli R, Musazzi L, Tiraboschi E, Tardito D, Perez J, Drago F, Racagni G, Popoli M: Chronic antidepressants induce redistribution and differential activation of alphaCaM kinase II between presynaptic compartments. Neuropsychopharmacol. 2007, 32: 2511-2519. 10.1038/sj.npp.1301378.

    Article  CAS  Google Scholar 

  44. Ryan B, Musazzi L, Mallei A, Tardito D, Gruber SH, El Khoury A, Anwyl R, Racagni G, Mathé AA, Rowan MJ, Popoli M: Remodelling by early-life stress of NMDA receptor-dependent synaptic plasticity in a gene-environment rat model of depression. Int J Neuropsychopharmacol. 2009, 12: 553-559. 10.1017/S1461145708009607.

    Article  CAS  PubMed  Google Scholar 

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Acknowledgements

GT and MS were funded by the International PhD Program in Neuropharmacology, University of Catania, Italy.

This study was supported by a research grant from Servier.

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Correspondence to Daniela Tardito.

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GR has scientific collaborations with and is a member of the scientific board for Eli Lilly, Innova Pharma, and Servier. The other Authors declare no conflict of interest.

Authors’ contributions

DT, LM and GR designed the study. DT and LM, wrote the ms. MS, LM, AM, GT, and PT performed the experimental work. LM, DT, MS and GT performed the statistical analyses. All authors read and approved the final manuscript.

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Musazzi, L., Seguini, M., Mallei, A. et al. Time-dependent activation of MAPK/Erk1/2 and Akt/GSK3 cascades: modulation by agomelatine. BMC Neurosci 15, 119 (2014). https://doi.org/10.1186/s12868-014-0119-1

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