Striatal phosphodiesterase 10A availability is altered secondary to chronic changes in dopamine neurotransmission
© The Author(s) 2016
Received: 26 November 2015
Accepted: 11 February 2016
Published: 21 March 2016
Phosphodiesterase 10A (PDE10A) is an important regulator of nigrostriatal dopamine (DA) neurotransmission. However, little is known on the effect of alterations in DA neurotransmission on PDE10A availability. Here, we used [18F]JNJ42259152 PET to measure changes in PDE10A availability, secondary to pharmacological alterations in DA release and to investigate whether these are D1- or D2-receptor driven.
Acute treatment of rats using D-amphetamine (5 mg, s.c. and 1 mg/kg i.v.) did not result in a significant change in PDE10A BPND compared to baseline conditions. 5-day D-amphetamine treatment (5 mg/kg, s.c.) increased striatal PDE10A BPND compared to the baseline (+24 %, p = 0.03). Treatment with the selective D2 antagonist SCH23390 (1 mg/kg) and D-amphetamine decreased PDE10A binding (-22 %, p = 0.03). Treatment with only SCH23390 further decreased PDE10A binding (-26 %, p = 0.03). No significant alterations in PDE10A mRNA levels were observed.
Repeated D-amphetamine treatment significantly increased PDE10A binding, which is not observed upon selective D1 receptor blocking. This study suggests a potential pharmacological interaction between PDE10A enzymes and drugs modifying DA neurotransmission. Therefore, PDE10A binding in patients with neuropsychiatric disorders might be modulated by chronic DA-related treatment.
KeywordsPhosphodiesterase 10A Dopamine neurotransmission D-amphetamine Small animal PET Brain imaging
Dopamine (DA) is an important neurotransmitter in the brain and in particular in the striatum, which is the primary input of the basal ganglia. DA neurotransmission plays an important role in the regulation of motor, reward and cognitive processes. Alterations in DA neurotransmission are key hallmarks in the pathogenesis of several diseases in these domains such as Huntington’s disease, Parkinson’s disease, addiction and schizophrenia (Schmidt and Reith 2010).
Medium spiny neurons (MSNs) represent 90–95 % of the neurons in striatum. MSNs are GABAergic projection neurons that integrate dopaminergic and glutamatergic neurotransmission. Two major pathways of MSNs are known. MSNs of the direct pathway are striatonigral neurons that project to the internal part of the globus pallidus and the substantia nigra pars reticularis. Activation of the direct pathway inhibits the GABAergic output of these two nuclei on the thalamus and thereby stimulates behavioral activity. The indirect pathway consists of striatopallidal MSNs that project to the external globus pallidus. Activation of the indirect pathway removes the inhibition of the external globus pallidus on the subthalamic nucleus. This ultimately increases the inhibition of the globus pallidus and substantia nigra on the thalamus and inhibits behavioral activity (Albin et al. 1989).
In the MSNs, two main DA receptor pathways can be distinguished. Both the D1 receptor and the D2 receptor mediate their effects through activation or inactivation of the 3’,5’-cyclic adenosine monophosphate/Protein Kinase A (cAMP/PKA) pathway (Nishi et al. 2008). Although all MSNs are sensitive to DA neurotransmission, a distinct distribution pattern of the DA receptor subtypes exists. Striatonigral MSNs of the direct pathway predominantly express the D1 receptor. When stimulated, D1 receptors activate adenylyl cyclase (AC) which initiates the cAMP/PKA cascade. Striatopallidal neurons on the other hand predominantly express D2 receptors. Stimulation of these Gi mediated receptors inhibits AC resulting in an inactivation of the indirect pathway (Fisone et al. 2007; Traynor and Neubig 2005).
Since striatal excitability depends on activation or inactivation of the cAMP/PKA pathway, concentrations of cAMP play a central role in the regulation of the MSNs. The intracellular concentration of cAMP is determined by the balance between its production and its degradation. Production of cAMP in striatum is controlled by activation of AC while the degradation of cAMP is catalyzed by a class of enzymes called phosphodiesterases (PDEs).
PDE10A is a subfamily of PDEs which can hydrolyze both cAMP and cGMP, although its affinity for cAMP is higher (Fujishige et al. 1999). It has a very limited distribution and is mainly expressed in the MSNs of the striatum and substantia nigra (Lakics et al. 2010; Seeger et al. 2003). The role of PDE10A in cAMP metabolism, together with its unique localization makes PDE10A a principal regulator of nigrostriatal DA neurotransmission.
Several research groups have focused on the relationship between PDE10A activity and cAMP levels. Research conducted by Jäger et al. suggested that PDE10A is activated by high concentrations of cAMP (Jäger et al. 2012). Since changes in DA neurotransmission directly influence cAMP levels in striatum, it is plausible that changes in DA neurotransmission might also induce changes in PDE10A activity. Although several authors have investigated how PDE10A inhibition may modify DA neurotransmission (Nishi et al. 2008; Sotty et al. 2009; Gresack et al. 2013), to our knowledge, few studies have examined the modulation of PDE10A expression and activity by DA neurotransmission.
Dlaboga et al were the first to investigate the effect a chronic treatment with a D2 antagonist on PDE10A expression levels (Dlaboga et al. 2008). They noticed decreased PDE10A expression after chronic treatment with haloperidol. These data were later contradicted by Natesan et al., who could not detect any change in PDE10A expression and PET binding after chronic haloperidol treatment (Natesan et al. 2014). Finally, an attempt to understand the relationship between DA neurontransmission and PDE10A was done by Giorgi et al. (Giorgi et al. 2011). They noticed that loss of dopaminergic nigrostriatal neurons significantly decreased PDE10A mRNA levels in striatum.
These studies suggest that changes in DA neurotransmission might induce changes in cAMP levels and PDE10A expression. This is however still controversial. In this study we aimed to evaluate changes in PDE10A activation or expression secondary to changes in DA neurotransmission. In order to test this hypothesis, we used positron emission tomography (PET) with [18F]JNJ42259152, a validated PET tracer for PDE10A (Celen et al. 2013; Van Laere et al. 2013a, b; Andrés et al. 2011), to quantify in vivo alterations in PDE10A binding secondary to stimulation of the DA system. Since D1 and D2 receptors influence cAMP levels in opposite ways, we evaluated the relative importance of D1 and D2 receptors in such response to DA alterations, using various pharmacological treatment schedules and imaging with the D2 antagonist [11C]raclopride.
Healthy female Wistar rats (body weight of 200–250 g at start of experiments) were used. The animals were housed in individually ventilated cages in a thermoregulated (22 °C) and humidity-controlled environment under a 12 h/12 h day/night cycle with free access to food and water. All animal experiments were conducted according to the Belgian code of practice for the care and use of animals and with approval of the KU Leuven ethical committee for animal experiments.
Overview of the different treatment groups (* saline treatment, equivalent volumes)
Duration of treatment
Time before scan
At the start of the experiment, animals were scanned using [18F]JNJ42259152 prior to any treatment to asses baseline BPND values. In order to evaluate the acute, single-dose effects of D-amphetamine administration on PDE10A, rats were treated with D-amphetamine (5 mg/kg, solution 2.5 mg/ml in saline, s.c. in awake animals) and were scanned with [18F]JNJ42259152 60 min after D-amphetamine injection (Experiment 1; n = 6). A second group of rats (Experiment 2; n = 5) was scanned 5 min after D-amphetamine treatment (1 mg/kg, i.v. in anaesthetized rats). Striatum BPND values for [18F]JNJ42259152 after treatment were compared to baseline BPND values acquired in the same rat. A similar treatment protocol with saline (2 ml/kg, s.c.) was used as a control to check for the potential effect of stress induced by the acute treatment protocols. Additionally, scans in saline treated animals were also used to calculate the test-retest variability of basal BPND values as a function of time (Experiments 3 and 4; n = 3 per group). Test-retest variability was calculated as |BP1 – BP2| / (BP1 + BP2) × 200 with BP1 and BP2 the BPND values from the baseline and saline treated scan respectively acquired in the same animal. For all experiments, there was a maximum time-gap of 1 week between baseline scan and test scan.
The effect of chronic dosage with D-amphetamine was evaluated after a 5-day schedule. In order to evaluate the relative contribution of D1 versus D2 receptors in the D-amphetamine response, rats were also treated with SCH23390, a known D1 receptor antagonist (Bourne 2001). All rats were first scanned at baseline conditions prior to any treatment using [18F]JNJ42259152. After their baseline scans, the different groups of animals were subjected to different treatment protocols (See Table 1). The treatment protocol consisted of subcutaneous injection in awake animals for five consecutive days with 5 mg/kg D-amphetamine (Experiment 5; n = 5), a combination of 5 mg/kg D-amphetamine and 1 mg/kg SCH23390 (Experiment 6; n = 6) or 1 mg/kg SCH23390 alone (Experiment 7; n = 5) once per day. At the fifth day of treatment, rats were scanned using [18F]JNJ42259152. A time gap of 4 h was left between the final injection and the start of the microPET scan in order to exclude any potential acute effects of the treatment. Finally, the rats were left untreated for another ten days after which the PDE10A binding potentials were again determined. A subset of the animals treated with only D-amphetamine (Experiment 5; n = 3) was additionally scanned with [11C]raclopride to visualize D2-receptor availability at the same time points. The influence of the chronic D-amphetamine treatment on PDE10A BPND values was assessed in a control group of rats treated for 5 consecutive days with equivalent volumes (2 ml/kg) of saline (Experiment 8; n = 3).
[18F]JNJ42259152 was radiolabeled by alkylation of the corresponding precursor with [18F]fluoroethyl bromide following a previously published method (Andrés et al. 2011). The radiotracer was obtained with a radiochemical purity > 98 % and a specific activity of 62–193 GBq/μmol (injected mass dose = 0.3–9 μg/kg) at the time of injection. [11C]Raclopride was synthesized according to a previously published method (Van Laere et al. 2010) with a radiochemical purity >98 % and a specific activity of 103–120 GBq/μmol (injected mass dose = 0.3–1.1 μg/kg) at time of injection.
Small animal PET imaging
Small animal PET imaging was performed with a FOCUS 220 tomograph (Siemens/Concorde Microsystems, Knoxville, TN). Rats were anesthetized and kept under anesthesia during the entire scan using 2.5 % isoflurane in oxygen (1 L/min). Animals were injected intravenously with about 50 MBq of [18F]JNJ42259152 or about 70 MBq of [11C]raclopride and scanned dynamically for 90 min. Data were acquired in a 128x128x95 matrix with a pixel width of 0.949 mm and a slice thickness of 0.796 mm. The scan data were acquired in list mode. Acquisition data were Fourier re-binned in 24 time frames (4 × 15 s, 4 × 60 s, 5 × 180 s, 8 × 5 min, 3 × 10 min) and reconstructed using maximum a posteriori iterative reconstruction (MAP; 18 iterations, 9 subsets, fixed resolution: 1.5 mm). The summed images (all timeframes) of the reconstructed data were spatially normalized to an in-house created [11C]raclopride template of the Wistar rat brain. The affine transformation was then used to normalize all time frames of the dynamic small animal PET data set to allow automated and symmetric volumes of interest (VOIs) analyses. Time activity curves (TACs) were generated for striatum and cerebellum using PMOD software (v 3.2, PMOD Technologies, Zurich, Switzerland). For [18F]JNJ42259152, striatal binding potential values (BPND) in striatum were extracted from the TACs using a Logan reference plot as previously validated by Celen and coworkers (Celen et al. 2013). K2’ and t* values for the Logan reference analysis were estimated using a two-tissue reference model. [11C]Raclopride binding was quantified using BPND values derived from a simplified reference tissue model as previously described (Ikoma et al. 2009). Cerebellum was used as a reference region for both reference tissue models to quantify [18F]JNJ42259152 and [11C]raclopride binding in different brain regions. PDE10A BPND images were generated by voxel based parametric mapping. Voxelwise parametric BPND images were constructed using a Logan reference tissue model using the cerebellum as reference region. For [11C]Raclopride, BPND images were generated using a SRTM approach.
Quantitative analysis of striatal mRNA levels
Healthy female Wistar rats were treated for five consecutive days with D-amphetamine (n = 9, 5 mg/kg, s.c.) or equivalent volumes of saline (n = 9). At the final day of treatment, rats were anaesthetized using 2.5 % isoflurane in oxygen (1 L/min) and sacrificed by decapitation. Striatum was then isolated and used for mRNA quantification.
Real-time quantitative PCR
RNA purification from striatum was performed with an RNeasy kit (Qiagen, Hilden, Germany), including DNaseI digestion, and extracted RNA was eluted with RNase-free H2O. 1.2 μg RNA was used for subsequent cDNA synthesis using random primers and SuperScript® III First-Strand Synthesis System (Invitrogen, Carlsbad, US) according to manufacturer’s protocol.
Real-Time Quantitative PCR (RTQ-PCR) was performed on an ABI Prism 7900-HT Sequence Detection System (Applied Biosystems, Lennik, Belgium). A qPCR core kit without dUTP (Eurogentec, Seraing, Belgium) was combined, according to protocol, with pre-designed Taqman Gene Expression Assays (Applied Biosystems) to quantify the genes of interest; PDE10A (Rn00673152_m1), D1 receptor (Rn03062203_s1) and D2 receptor (Rn00561126_m1) and internal control genes corresponding to glucuronidase b (GUSB, Rn00566655_m1), hydroxymethylbilane synthase (HMBS, Rn00565886_m1), phosphoglycerate kinase 1 (PGK1, Rn00821429_g1), peptidylpropyl isomerase b (PPIB, Rn03302274_m1) and transferrin receptor (TFRC, Rn01474701_m1, all Applied Biosystems). Serial dilutions of cDNA were used to generate standard curves with all Taqman assays in order to calculate PCR efficiencies (all between 95 % and 105 %) and quantify expression levels. Samples were assessed in duplicate. Finally GeNorm software was used to identify the most stably expressed internal control genes (http://genomebiology.com/2002/3/7/research/0034). These genes were then used to normalize PDE10A, D1 and D2 receptor expression.
Reported values are reported as mean ± SD. Conventional statistical analysis was carried out using Graphpad Prism 5.1 (Graphpad Software, La Jolla, CA, US). A non-parametric Wilcoxon signed rank test was performed to compare BPND values at the different time points in each treatment group. Significance was accepted at the 95 % probability level.
Saline treated animals
Test-retest statistics for [18F]JNJ42259152 in rat striatum
BP2 (saline treated)
Test-retest variability (%)
Mean ± SD
1,60 ± 0.09
1.40 ± 0.20
18.6 ± 12.2
Single dose D-amphetamine treatment
Five day D-amphetamine treatment (Experiment 5)
Five day SCH23390 and D-amphetamine treatment (Experiment 6)
Five day SCH23390 treatment (Experiment 7)
Quantitative analysis of striatal mRNA levels
Alterations in DA neurotransmission are key pathological hallmarks in many neurological and psychiatric disorders such as Huntington’s disease, Parkinson’s disease, addiction and schizophrenia (Schmidt and Reith 2010). Furthermore, altering DA neurotransmission is an important mechanism of several drugs commonly used in the treatment of these diseases. Since PDE10A is dominantly expressed in the striatal MSNs, we hypothesized that alterations in DA neurotransmission might also influence PDE10A binding through feedback on the cAMP/PKA pathway.
In the present study, we used [18F]JNJ42259152 small animal PET to quantify PDE10A binding in vivo. The quantification of PDE10A using BPND values acquired by Logan reference plot has been extensively evaluated by Celen et al. (Celen et al. 2013). When comparing different BPND values at baseline conditions acquired over the different experiments, a broad range of baseline BPND values in the different experiments was observed. The reason of this variation was not clear. JNJ42259152 is a PDE10A inhibitor, so potentially a mass dose effect need to be taken into consideration. The specific activity range of [18F]JNJ42259152 at the time of injection showed a relatively broad range (62–196 GBq/μmol, administered mass dose 0.14–0.45 μg) that originates from the fact that multiple scan sessions were conducted with the same batch of [18F]JNJ42259152. For each individual rat however, the specific activity at the start of the scan did not differ much between the scans obtained at different time points. In addition, we did not observe any correlation between BPND values and specific activity of the tracer (Additional file 1). Additionally, since anesthesia might have an influence on the response to D-amphetamine (McCormick et al. 2011), the level of isoflurane used to anesthetize the animals was kept constant throughout the whole experiment.
Therefore, we can assume that the large variation of baseline BPND values is probably a result of inter-individual variation such as deviations in baseline PDE10A expression levels or PDE10A activity. To investigate this hypothesis, we compared BPND values acquired in rats from the different provides in this study (Harlan and Janvier). Our data suggested that the baseline BPND values acquired in Janvier Wistar rats were significantly higher compared to the BPND values acquired in Haran Wistar rats (p = 0.001; Additional file 2). Therefore we can conclude that there could indeed be a large inter-individual variation causing the broad range of baseline BPND values.
One of the main advantages of PET imaging however is that it allows to repeatedly scan the same animal under different conditions, provided a suitable reference region can be found. Due to the selective expression of PDE10A in striatum, cerebellum can be used as a reference region for PDE10A quantification using [18F]JNJ42259152 (Celen et al. 2013; Van Laere et al. 2013b). Hence, the baseline scan of an animal can be used as an internal control for the PET scans obtained in several conditions in the same animal. This allows paired statistical analysis which looks at changes in BPND values during the different treatment stages rather than comparing absolute group-averaged BPND values. Therefore, the bias caused by inter-individual variation on the results is expected to be minimal. Additionally, we determined the test-retest variability of the saline treated animals. In the different experiments, the changes in PDE10A BPND values are larger than the calculated test-retest variability. Therefore we can conclude that the differences observed in our study are significantly larger than the statistical variation in baseline PDE10A BPND levels.
The treatment protocols in this study were designed to evaluate the effects of alterations in DA neurotransmission on striatal PDE10A binding. In order to stimulate DA release, we treated animals with 5 mg/kg D-amphetamine (s.c.), a dose commonly used in literature for D-amphetamine treatment (Yin et al. 2006; Shi and McGinty 2011). Injection of animals with D-amphetamine increases synaptic DA levels by blocking and reversing the DA reuptake transporter (Robertson et al. 2009). Striatal DA release secondary to amphetamine was quantified by Kuczenski et al (Kuczenski 1986). Their research showed that at a dose of 3 mg/kg amphetamine, a maximum DA release in striatum was achieved which could not be increased by using higher dosages. Therefore, a maximum effect can be expected after amphetamine dosage of 5 mg/kg. In striatum, the increased DA release can potentially stimulate both the D1 as the D2 receptor pathway resulting in increased (D1) or decreased (D2) cAMP levels in the postsynaptic neurons (Albin et al. 1989). Since the expression of PDE10A is also most pronounced in these neurons (Lakics et al. 2010; Seeger et al. 2003), it is likely that the alterations in cAMP might also induce changes in PDE10A activity and/or expression as an effective compensating mechanism to normalize cAMP levels.
Recent research showed that the effect of PDE10A inhibitors was dependent on the activation state of both the direct as the indirect pathway of DA neurotransmission (Megens et al. 2014). Further evidence on the differential effect of PDE10 inhibition depending on the activation state of D1 and D2 pathways can be found in the behavioral differences in different PDE10A KO mice. C57 KO mice with genetic background of C57Bl6 (high dopaminergic tone) show increase in amphetamine-stimulated locomotor activity (Siuciak et al. 2008), while PDE10 DBA KO mice have similar amphetamine-stimulated locomotor activity as WT mice (Siuciak et al. 2006). These data indeed suggest that there is an interaction between PDE10A and DA neurotransmission. Additionally these data could indicate that both the D1 as the D2 pathway influence PDE10A in different ways.
Since the stress of the treatment protocols can induce several physiological changes, the treatment itself might also influence PDE10A microPET acquisition and/or PDE10A expression. In order to evaluate the influence of the treatment protocol, treatment with saline was included as control (Experiments 3, 4 and 8). Both acute and chronic treatment with saline did not result in a change of PDE10A BPND values, indicating that the treatment protocol as such did not affect the results to a measurable extent.
In the first two experiments we tested the effect of acute D-amphetamine treatment on PDE10A tracer binding. PDE10A binding after acute D-amphetamine treatment did not change significantly compared to baseline conditions. As stated above, postsynaptic neurons might adapt to changes in cAMP by modifying hydrolysis of cAMP. In literature, several lines of evidence imply increased cAMP levels in striatum secondary to D-amphetamine treatment (Ren et al. 2009; Simpson et al. 1995). Ren et al. investigated cAMP levels in different brain regions 10 min after an i.v. challenge of amphetamine (doses: 0.25–3 mg/kg). They demonstrated 50 % higher cAMP levels after i.v. injection of amphetamine (>1 mg/kg) compared to baseline. The lack of PDE10A binding change observed in our initial data may be explained by the short time period between D-amphetamine treatment and the PDE10A microPET determination. Jaber et al. reported no change in D1 or D2 receptor transcription three hours after injection of 5 mg/kg D-amphetamine (Jaber et al. 1995). This lack of alteration in the DA receptors could indicate that the expression of a more downstream effector of the DA neurotransmitter such as PDE10A might not be changed either.
Additionally, literature data has shown that the D1 and D2 receptors affect AC activity (and as a result also the cAMP levels) in opposing ways (Albin et al. 1989). Since changes in cAMP would be the driving force for changes in PDE10A (Jäger et al. 2012), both receptors would also induce opposite changes in PDE10A. To our knowledge, there is no evidence of a differential selectivity of DA between the D1 receptor pathway and the D2 receptor pathway when animals are treated with D-amphetamine at dosages similar to the dose used in our experiment. This could mean that despite the potential local change in cAMP levels after acute D-amphetamine injection, it is plausible that the overall striatal cAMP concentrations remain unchanged. As a result, the average PDE10A levels in all the neurons of striatum would also remain unchanged. Furthermore, desensitization of the D1 receptor pathway (Roseboom and Gnegy 1989) and upregulation of the presynaptic D2 receptor (Tomić et al. 1997) were observed secondary to acute D-amphetamine treatment. This implies that although cAMP levels rapidly increase after acute D-amphetamine treatment (Ren et al. 2009; Simpson et al. 1995), compensating mechanisms, such as receptor internalization (Skinbjerg et al. 2010) or desensitization (Roseboom and Gnegy 1989) can normalize cAMP levels and minimize the impact on downstream effectors such as PDE10A.
In chronic D-amphetamine treatment on the other hand, it is generally accepted that the D1 receptor plays a more dominant role in the development of sensitization (Shi and McGinty 2011; Wright et al. 2013; Vanderschuren and Kalivas 2000). After 5 days of D-amphetamine treatment, PDE10A binding was found to be significantly higher compared to baseline conditions. The increase in PDE10A binding could conceivably be an indirect and compensating mechanism secondary to altered cAMP levels which would be caused by an increased D1 receptor stimulation dominating D2 receptor stimulation. This theory is sustained by the work of Jäger et al. and Handa et al. who showed that cAMP binds to the GAF-B domain of PDE10A and that this binding activates PDE10A enzymatic activity (Jäger et al. 2012; Handa et al. 2008). Their data are however still controversial since Matthiesen et al. and Russwurm et al. did not observe any changes in PDE10A activity secondary to cAMP alterations (Matthiesen and Nielsen 2009; Russwurm et al. 2015). Further research will be necessary to investigate the exact mechanism of increased PDE10A binding observed in our studies.
In order to clarify whether the D2 receptor plays a role in this the chronic response, a subset of the 5-days D-amphetamine treated animals (n = 3) was additionally scanned with 11C labeled raclopride. If the D2 receptor would be involved, changes in D2 receptor imaging would have been expected. No significant changes could however be found after the treatment or washout period compared to baseline. These results were further confirmed by D2 receptor mRNA quantification which detected no change in D2 receptor mRNA levels. These data were also in line with data acquired by Richtand et al., who also observed no change in transcription of the DA receptors after a five-days D-amphetamine treatment (Richtand et al. 1997).
The role of the D2 receptor in sensitization can be further questioned based on results obtained by Dlaboga et al. (Dlaboga et al. 2008). In their research, they used quantitative immunoblot analysis to quantify PDE10A expression after treatment with haloperidol, a selective D2/3 receptor antagonist. After a 21-day treatment of rats with haloperidol, they could detect a significant increase in PDE10A expression. When the D2 receptor on the other hand would be activated by D-amphetamine treatment, a decreased PDE10A binding can be expected. We however discovered that repeated stimulation of the DA neurotransmission by D-amphetamine increases in vivo PDE10A binding. Overall, our results and the above mentioned previous literature, gives us indications that the D2 receptor does not play a dominant role in the chronic D-amphetamine response. These data were however later contradicted by Natesan et al. who did not observe any change in PDE10A expression and PET signal after chronic haloperidol treatment (28 days) (Natesan et al. 2014).
In order to further confirm the hypothesis that activation of the D1 receptor pathway is responsible for the observed increase in PDE10A binding, we chronically treated another group of rats with a combination of D-amphetamine and SCH23390, a selective inhibitor of the D1 receptor (Experiment 6) (Bourne 2001). The dose we used for SCH23390 treatment (1 mg/kg every day) has previously been reported (Hess et al. 1986). Simultaneous activation of the DA neurotransmission, combined with selective blocking of the D1 receptor pathway significantly decreased PDE10A availability (Fig. 4). This confirms that after chronic stimulation of the dopaminergic system, D1 and not D2 receptor activation is likely responsible for the observed increase in PDE10A binding. The importance of the D1 receptor after chronic DA stimulation was also suggested by data of Selemon et al. who noticed that D1 receptor antagonism can completely reverse the effects of D-amphetamine sensitization (Selemon et al. 2010). Treatment of rats with only SCH23390 for 5 days decreased the PDE10A binding slightly more compared to the rats treated with a combination of D-amphetamine and SCH23390. This difference can be expected since D-amphetamine increases the synaptic DA levels which compete with SCH23390 for D1 receptor binding. Considering the higher affinity of SCH23390 to the D1 receptor than endogenous DA (Bourne 2001), the relative decrease in PDE10A binding in the SCH23390 treated animals does not differ much from that in the SCH23390/D-amphetamine treated group.
Finally, we further investigated the alteration in [18F]JNJ42259152 BPND observed in D-amphetamine treated animals. Since BPND equals in vivo ratio of Bmax over KD, the observed increase in [18F]JNJ42259152 BPND could potentially be caused by a change in PDE10A expression or/and a change in affinity of the tracer to PDE10A. In order to differentiate between these two potential mechanisms, we investigated PDE10A mRNA levels in striatum of 5-days D-amphetamine treated animals. PDE10A mRNA levels can be an indication for PDE10A expression, however changes in translation, mobilization of PDE10A and activation of PDE10A could not be excluded. Redistribution of PDE10A secondary to changes in cAMP could also have contributed to the observed change. Several research groups have shown that PDE10A localization can be regulated in response to changes in cAMP levels (Russwurm et al. 2015; Charych et al. 2010). Our data did not show any significant difference in mRNA levels between D-amphetamine treated and saline treated animals. This indicates that the observed changes in [18F]JNJ42259152 BPND might be caused by a change in [18F]JNJ42259152 affinity for PDE10A rather than a change in PDE10A expression. Although the differences are small, our data demonstrate changes in PDE10A BPND independent from PDE10A expression. Since BPND values are often used in quantification of PDE10A as a measure of expression, it is important to also take affinity effects into account when quantifying PDE10A. Additionally, interactions between DA neurotransmission clearly point out that PDE10A imaging might be biased in patients treated with dopaminergic drugs.
The mechanism by which the affinity increased was not investigated in this study, however this could be a response mechanism to the increased cAMP levels in D-amphetamine treated animals. Although there still is some controversy on the matter, Jäger et al. observed that binding of cAMP to the regulatory GAF domain of PDE10A activates the enzyme (Jäger et al. 2012). A potential mechanism for PDE activation was suggested by Pandit et al. who investigated allosteric regulation of PDE2. In native state, catalytic sites of dimerized PDE2 are packed against each other. Binding of cGMP to the GAF domain of PDE2 rotates the catalytic domain and facilitates the binding of cAMP (Pandit et al. 2009). A similar mechanism for PDE10A can be conceivable since PDE10A also has an allosteric binding site for cAMP. Since [18F]JNJ42259152 binds to the same pocket in the catalytic domain as cAMP, activation of PDE10A would not only facilitate cAMP but also [18F]JNJ42259152 binding to the catalytic domain. Further investigation of the effect of cAMP on [18F]JNJ42259152 binding is currently ongoing to fully understand the mechanism of the alterations observed here.
In conclusion, we showed that chronic activation of DA neurotransmission increases striatal [18F]JNJ42259152 binding to PDE10A. Since many drugs used in neuropsychiatry alter DA neurotransmission, PDE10A binding quantified by PET imaging in CNS disorders may be biased by treatment with dopaminergic drugs Activation of the D1 over the D2 receptor pathway is responsible for the effects of chronic D-amphetamine exposure.
- BPND :
binding potential value
cyclic adenosine monophosphate
cyclic guanosine monophosphate
medium spiny neurons
positron emission tomography
protein kinase A
The authors thank Ann Van Santvoort from the Department of Nuclear Medicine and Julie Cornelis, Jana Hemelaers and Ivan Sannen from the Laboratory for Radiopharmacy for their assistance in the small animal work. Additionally we would like to acknowledge Janssen Research and Development for providing the labeling precursors and the authentic reference compounds for radiolabeling of [18F]JNJ42259152. This research was funded by the KU Leuven financing program ‘IMIR’ (In Vivo Molecular Imaging Research, PF/10/017). Koen Van Laere is Senior Clinical Investigator of the Fund of Scientific Research Flanders (FWO).
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