Introduction

Antipsychotic drugs (APDs) remain the standard pharmacological treatment for schizophrenia (SCZ) and psychotic disorders, mainly by targeting dopamine neurotransmission (primarily D2 receptors)1,2,3. APDs can be classified into typical (i.e., haloperidol) and atypical (i.e., aripiprazole, risperidone or clozapine), the latter prescribed as first-line drugs and/or in refractory patients4. Despite the effectiveness of APDs in the clinical realm, there is a marked disparity among patients with respect to symptoms, responses and side effects5,6. Whereas 50–60% of patients achieve an optimal degree of clinical improvement of positive symptoms, little to no improvement of negative symptoms or cognitive deficits is common5. Overall, estimates suggest that one-fifth to one-half of patients have treatment-resistant SCZ and about 30–60% of these respond to clozapine6,7,8. These evidences suggest that although D2 receptors is a direct target for all drugs used to treating SCZ, its blockade may not tackle the primary biological anomaly in a significant percentage of patients9. In this respect, the combined D1 and D2 receptors antagonism has been proposed to have synergic effects, which could account for the atypical clinical effectiveness of clozapine10. From a molecular perspective, the effects of APDs may also include the modulation of D2 receptor-independent mechanisms through indirect effects, such as, e.g., those related to other metabotropic receptors implicated in the control cAMP-dependent signalling11 and/or those related with receptor-biased agonism4,12. Downstream of cAMP, the activation of protein kinase A (PKA) promotes phosphorylation of DARPP-32 (a cytosolic protein), which has been associated with the pathophysiology of SCZ13,14. In addition, the glutamate hypothesis of SCZ led to explore its potential clinical application as targets for therapy15. The investigation of the mechanisms downstream of the receptors targeted by APDs will certainly guide to finding out new explanations for pathophysiological mechanisms and novel approaches for therapy4.

A new paradigm has emerged based on the investigation of transcriptional patterns associated with clinical responses in SCZ, raising the likelihood of revealing unknown molecular mechanisms associated with antipsychotic action that may be crucial in accomplishing optimal clinical responses16,17. Using an unbiased transcriptome approach, we have previously described a set of genes that are differentially expressed at the onset of SCZ16. In addition to this, we also showed significant differential gene expression elicited after a 3-month APD treatment in responder patients17. Among the above-mentioned results, ADAMTS2 was the highest upregulated gene in SCZ patients at the onset of the disease and also was the most significant downregulated gene, back to ‘healthy levels’, in responder patients to treatment with APDs. The observation that the expression of ADAMTS2 can be modulated by APDs and its association with clinical response, makes it an appealing candidate to investigate its interface with illness pathology and clinical efficacy17.

In the present work we initially performed an independent validation using a new cohort of drug-naïve non-affective psychosis patients. We confirmed that ADAMTS2 expression was significatively overexpressed at diagnosis, and that treatment with APDs reduced their expression levels back to ‘healthy’ values, which, in turn, was associated with clinical responses (positive symptoms). However, the molecular or cellular mechanisms exerted by APDs to regulate ADAMTS2 expression are unknown. Following a bottom-up strategy starting from the transcriptional data obtained in SCZ cases and taking advantage of neuronal-like cells towards the identification of membrane receptors and the intracellular mechanism controlled by them, we herein provide new evidence that ADAMTS2 expression is regulated by dopaminergic signalling cascade (D1-class receptors) through ERK and cAMP/cAMP response element-binding protein (CREB) activities.

Materials and methods

Human samples and study setting

Human samples for this study were obtained from an ongoing epidemiological and 3-year longitudinal intervention programme of first-episode psychosis (PAFIP) conducted at the University Hospital Marques de Valdecilla (Cantabria, Spain) and biological samples were provided by the IDIVAL biobank. The study was approved by the Cantabria Ethics Institutional Review Board, conforming to international standards for research ethics. Patients meeting inclusion criteria and their families provided written informed consent to be included in the PAFIP.

A new independent set of 30 APD-naïve, first-episode non-affective individuals and 10 healthy individuals (without a history of neuropsychiatric disorders) were used to validate gene expression profiles related to clinical response (Table 1).

Table 1 Psychopathological characteristics at baseline, at 3 months and clinical changes during the follow-up period. Comparison between aripiprazole and risperidone.

Briefly, all patients underwent a head-to-head risperidone and aripiprazole randomized (simple randomization procedure), flexible-dose, open-label study (EudraCT number 2013-005399-16). More detailed information about PAFIP and treatment protocol has been published elsewhere17,18 and also is briefly available in Supplementary Information.

RNA extraction

Peripheral blood from patients and controls was extracted using the TempusTM Blood RNA Tube (Applied Biosystems, UK). Peripheral blood mononuclear cell (PBMC) isolation was performed using a Ficoll-Paque Premium reagent (Sigma) and total mRNA isolation using a TempusTM Spin RNA Isolation Kit (Invitrogen, CA, USA), following the manufacturer’s instructions. RNA Integrity Number (RIN) was characterized with a Bioanalyzer (Agilent Technologies) and samples with a RIN > 8 were selected. Total mRNA from culture cells was extracted using Trizol reagent (Invitrogen) and its concentration was determined using a Nanodrop 2000 spectrophotometer (Thermo Scientific, IL, USA).

RT-PCR and quantitative PCR

cDNA synthesis was performed using the SuperScript IV Reverse Transcriptase (Invitrogen). cDNA was amplified using the Power SYBR™ Green PCR Master Mix (Applied Biosystems) in a 7300 Fast Real-Time PCR System (Applied Biosystems). Specific oligos for human ADAMTS2, CREB1, and C-FOS were designed using Primer-Blast (NCBI; see sequences in Supplementary Table S1). ACTB expression was used to normalize values. Gene expression changes were determined using 2(–ΔΔCt) formula. A melting curve was generated for every run to confirm assay specificity.

Cell culture and treatments

Human neuroblastoma (SK-N-SH, ATCC HTB-11) and 293T (ATCC CRL-3216) cells were obtained from the American Type Cell Collection (Rockville, MD). Cells were cultured in modified Eagle’s medium and Dulbecco’s Modified Eagle’s Medium, respectively (Corning, VA, USA). Culture medium was supplemented with 10% dialysed fetal bovine serum (dFBS; HyClone, UT, USA), glucose, l-glutamine, streptomycin sulphate and potassium penicillin (10,000 U/L) (Lonza, Belgium).

Drugs and pharmacological agents

Aripiprazole, clozapine, haloperidol hydrochloride, H89 dihydrochloride, L 741,626, MDL 100907, paliperidone, risperidone, SKF 83822, SCH 39166, TCB-2, WAY 100635, 7-OH-DPAT and 8-OH-DPAT were purchased from Tocris Bioscience (Spain). Forskolin and selumetinib (AZD6244) were purchased from Selleckchem (Spain). Cholera toxin (CTX), pertussis toxin (PTX) and 12-O-tetradecanoylphorbol-13-acetate (TPA) were purchased from Sigma-Aldrich (MO, USA). YM-254890 was purchased from Adipogen Life Sciences (CA, USA). All were dissolved in dimethyl sulfoxide, except CTX and WAY 100635 that were dissolved in water.

Luciferase report assays

Luciferase report assays were performed by transfection with 0.5 µg DNA of the following plasmids mix (ratio 3:1): pGL4.29[luc2P/CRE/Hygro] containing firefly luciferase reporter, alongside pRL-Null containing Renilla luciferase used as control (Promega, WI, USA). Cells were transfected with Lipofectamine LTX with PLUS reagents (Invitrogen) in transient conditions. Firefly and Renilla levels were detected using Dual-Luciferase Reporter Assay System kit and quantified using a GloMax-Multi apparatus (Promega).

Western blotting

Cells were starved overnight before treatment. Whole cell lysates were obtained using RIPA buffer (Sigma) supplemented with phosphatase and protease inhibitors (Roche, Germany). Protein expression was analysed by western blotting as described previously19. Briefly, antibodies used were as follows: phospho-CREB, CREB, phospho-ERK1/2, ERK1/2, phospho-p38, p38, and phospho-PKA substrates (Cell Signaling, MA, USA), and β-Tubulin (Santa Cruz Biotechnology). Fluorophore conjugate antibodies were obtained from Invitrogen. Signals were visualized and recorded with an Odyssey Infrared Imaging scanner (LI-COR Biosciences, NE, USA). Immunoblot densitometry analysis on every band was calculated using Image Studio Software (LI-COR Biosciences). Phosphorylation and total protein densitometry values were normalized to β-Tubulin signal.

CREB knocked down reagents and procedures

ShCREB1-inducible SK-N-SH cells were generated by lentiviral infection of SK-N-SH cells with SMARTvector carrying tGFP and human inducible CREB1 short hairpin RNA (shRNA) mCMV constructs or non-target control shRNA (Dharmacon, CO, USA). Lentiviral particles were produced by co-transfection of 293T cells using Trans-Lentiviral shRNA Packaging System (Dharmacon), according to the manufacturer’s protocol. Cells were incubated with doxycycline (1 μg/ml) (Sigma) for 72 h to induce green fluorescent protein and shRNA expression. SK-N-SH cells expressing stable shCREB1 constructs were generated by direct transfection by Lipofectamine LTX with PLUS reagent (Invitrogen) using pGFP-V-RS-CREB1 shRNA expression vectors or scrambled control (Origene, MD, USA). Transfected cells were selected with puromycin (1 μg/mL) at least 7 days.

Statistical analyses

Kolmogorov–Smirnov test and Levene test were used to test normality and equality of variances, respectively.

For patients’ studies, to ensure group comparability between healthy volunteers and patients, sociodemographic and clinical characteristics at baseline were tested by unpaired Student’s t-test or one-way analysis of variance (ANOVA) for continuous variables as necessary, and by Fisher’s exact test for qualitative variables (Table 1 and Supplementary Table S2).

Wilcoxon’s signed-rank test for independent data was used to compare the ADAMTS2 mRNA expression level among healthy volunteers and drug-naïve patients at baseline. Wilcoxon’s matched-pairs signed-rank test for paired data was performed to compare the change in the mRNA expression level from baseline to 3 months following the antipsychotic treatment (α = 0.05). STATA 15.1 was used for statistical analysis.

For in vitro studies, unless otherwise specified, all experiments were independent and numerical data were summarized as the mean ± SEM using GraphPad Prism6 software. Each global mean was compared using unpaired Student’s t-test (two tailed; α = 0.05) or one-way ANOVA followed by post-hoc test where appropriated, as described in each figure legend.

Results

ADAMTS2 expression is controlled by APD treatment in SCZ patients

To better evaluate the mechanistic effects of atypical APDs in SCZ patients, we prepared and studied a new cohort of 30 drug-naïve SCZ patients with baseline quantitative data (sociodemographic and clinical characteristics) and clinical follow-up data, after 3 months of treatment with APDs (Table 1). We found significant within-subject changes between baseline data and after 3 months of treatment in both risperidone and aripiprazole groups. These changes were observed in CGI (Clinical Global Impression, p < 0.000), YMRS (Young Mania Rating Scale, p < 0.000), BPRS (Brief Psychiatric Rating Scale, p < 0.000) and SAPS (Scale for the Assessment of Positive Symptoms, p < 0.000) total scores. However, as it is shown in Table 1, no differences were found in total scores of the clinical scales when the two APD groups were compared at baseline and after 3 months of treatment.

To analyse transcriptomic changes, we obtained PBMCs isolated from blood samples from SCZ patients, which were obtained at the first episode of psychosis (onset) and after a 3-month period of treatment with APDs. In this context, using quantitative reverse transcriptase PCR (RT-qPCR), we performed an independent validation of transcriptional changes by focusing on ADAMTS2. Thus, we confirmed ADAMTS2 as a significant gene that was highly overexpressed at the onset, with respect to healthy controls, and downregulated by APDs after 3 months of treatment (Fig. 1).

Fig. 1: Transcriptional control of ADAMTS2 in SCZ patients at onset and after 3-month antipsychotic treatment.
figure 1

Relative mRNA expression level of ADAMTS2 gene in PBMCs from peripheral blood samples of an independent cohort of SCZ patients: healthy controls (basal; grey bar), untreated FEP patients (basal drug-naïve; black bar) and 3-month treated patients (striped bar). FEP: first episode of psychosis. All patients were treated with risperidone or aripiprazole drugs and showed clinical response to treatment (Cohort: patients N = 30 and controls N = 10). Data are mean ± SEM; unpaired Wilcoxon’s signed-rank test: ***p < 0.001 compares patients at baseline vs. healthy controls; paired Wilcoxon’s signed-rank test: ###p < 0.001 compares patients at baseline vs. those after 3-month AP treatment.

Dynamic control of ADAMTS2 transcription by APDs in neuronal-like cells

To gain mechanistic insight into the transcriptional control of ADAMTS2, we analysed the effects of APDs in SK-N-SH cells using dFBS. No significant differences in ADAMTS2 expression were observed when dFBS was not present in the culture medium (data not shown). These cells express cell surface receptors that are targets of APDs (i.e., D1, D2, 5-HT1A and 5-HT2A receptors) as well as detectable basal expression of ADAMTS2 mRNA. Our data showed that incubation with APDs in these cells induced dynamic changes in ADAMTS2 mRNA expression along time. Incubation with atypical APDs such as paliperidone, aripiprazole (Fig. 2) and risperidone (Supplementary Fig. S1), provoked a dynamic inhibition of ADAMTS2 basal mRNA expression in these cells with fast (<1 h) but transitory responses. Interestingly, clozapine (atypical APD) and haloperidol (typical APD) induced a fast and sustained (up to 24 h) inhibition of ADAMTS2 expression (Fig. 2).

Fig. 2: Transcriptional control of ADAMTS2 using antipsychotic drugs.
figure 2

Relative ADAMTS2 mRNA expression level in SK-N-SH cells incubated with clozapine (1 µM) (N = 4), haloperidol (1 µM) (N = 5), paliperidone (1 µM) (N = 3) and aripiprazole (1 µM) (N = 5) for the indicated times. Data are mean ± SEM; one-way ANOVA for multiple comparations: *p < 0.05, **p < 0.01, ***p < 0.001 shows significance with respect to control (C; vehicle, grey bars).

Neurotransmitter receptors and associated signalling pathways involved in the control of ADAMTS2 gene expression

Using selective agonists for D1, D2, 5-HT1A and 5-HT2A receptors in SK-N-SH cells, we observed that SKF 83822 (a D1-class receptor agonist) significantly triggered ADAMTS2 mRNA expression compared with the lack of effect of 7-OH-DPAT, 8-OH-DPAT and TCB-2 (agonists of D2, 5-HT1A and 5-HT2A receptors, respectively) (Fig. 3a). In addition, using selective antagonists for these receptors, we observed that only SCH 39166 (a D1-class receptor antagonist) significantly downregulated ADAMTS2 mRNA expression, whereas L 741,626, WAY 100635 and MDL 100907 (antagonists of D2, 5-HT1A and 5-HT2A receptors, respectively) were devoid of this effect (Fig. 3a). Furthermore, we analysed ADAMTS2 mRNA and protein expression profiles in the brain of developing and early postnatal mice (see Supplementary Methods). Interestingly and in support of our previous results in cells, ADAMTS2 was specifically localized in brain regions that are part of the mesolimbic and mesocortical dopamine systems (Supplementary Fig. S2).

Fig. 3: Neurotransmitter receptors and associated signalling pathways involved in the control of ADAMTS2 gene expression.
figure 3

a ADAMTS2 mRNA levels by RT-qPCR in SK-N-SH cells incubated 1 h with the indicated selective receptor agonist (red bars): SKF 83822 (D1-class receptors) (N = 5), 7-OH-DPAT (D2-class receptors) (N = 3), 8-OH-DPAT (5-HT1A receptor) (N = 3) and TCB-2 (5-HT2A/2C receptors) (N = 5); and selective antagonist (blue bars): SCH 39165 (D1-class receptors) (N = 3), L 741,626 (D2-class receptors) (N = 4), WAY 100635 (5-HT1A receptors) (N = 3) and MDL 100907 (5-HT2A receptors) (N = 3) (Drug concentration 1 µM). b ADAMTS2 mRNA levels by RT-qPCR in cells incubated for 1 h with SKF 83822 (N = 4) and pre-incubated also for 30 min with SCH 39166 (N = 4), clozapine (N = 3), haloperidol (N = 4), paliperidone (N = 4) or aripiprazole (N = 4) (Drug concentration 1 µM). c CREB activity in cells transfected with CRE-Luc alongside pRL-Null: cells were pre-incubated for 1 h with the indicated APDs and then, incubated for 24 h with SKF 82833 (10 µM) (N = 4). d ADAMTS2 mRNA levels by RT-qPCR: SK-N-SH cells were pre-incubated for 30 min with MAPK/ERK and cAMP-PKA inhibitors (selumetinib 1 µM N = 6 and H89 10 µM N = 4, respectively) and then, incubated for 1 h with SKF 82833 (1 µM) (N = 5). e CREB activity in cells transfected with CRE-Luc alongside pRL-Null (N = 4): SK-N-SH cells were pre-incubated for 1 h with the indicated inhibitors and then incubated for 24 h with SKF 82833 (10 µM). f Western blottings showing relative phosphorylation levels of CREB and ERK1/2: SK-N-SH cells were pre-incubated for 1 h with the indicated inhibitors and then incubated for 15 min with SKF 82833 (1 µM) (N = 3). Blots are representative images of each western-blot. Data are mean ± SEM; Student’s t-test: *p < 0.05 and ***p < 0.001 vs. control condition (vehicle), and #p < 0.05, ##p < 0.01, ###p < 0.001 vs. SKF 83822 condition.

Next, we studied whether treatment with APDs could modulate ADAMTS2 gene expression activated downstream of the D1 receptor. Our results show that haloperidol and clozapine could significantly block SKF 83822-mediated transcriptional activation of ADAMTS2. As expected, SCH 39166, a selective D1 receptor antagonist, also prevented D1 receptor-mediated activation of ADAMTS2 (Fig. 3b). In addition, the reduction in ADAMTS2 expression induced by clozapine was prevented by L 741,626 and MDL 100907 (a D2 and 5-HT2A receptor antagonists, respectively) (Supplementary Fig. S3).

As D1 receptors are known to signal through Gαs, we sought to confirm its role at controlling ADAMTS2 expression in our system, alongside Gαi and Gαq. For this purpose, we incubated SK-N-SH cells with CTX (Gαs activator), PTX (Gαi inhibitor) and YM-254890 (a specific Gαq inhibitor)20, before activating D1 receptors with SKF 83822. The activation of Gαs (Supplementary Fig. S4A) and the inhibition of Gαi (Supplementary Fig. S4B) per se significantly upregulated ADAMTS2 expression. Moreover, the inhibition of Gαi potentiated ADAMTS2 expression after D1 receptor activation (Supplementary Fig. S4B). Finally, the inhibition of Gαq did not modify the basal and the SKF 83822-mediated increase of ADAMTS2 expression (Supplementary Fig. S4C).

Incubation of neuronal-like cells with the selective D1 receptor agonist (SKF 83822) provoked rapid phosphorylation of CREB and ERK1/2 (15 min), and no changes in p38 (Supplementary Fig. S4D-F). In addition, rapid phosphorylation of PKA substrates was detected in response to SKF 83822 (Supplementary Fig. S4G). To evaluate CREB-dependent transcriptional activity in neuronal-like cells, we took advantage of a CRE-luciferase reporter. We analysed if APDs could counteract the intracellular signalling activation mediated by selective SKF 83822 D1-class receptor agonist. Our results (Fig. 3c) demonstrate that preincubation with clozapine, but not haloperidol, paliperidone, or aripiprazole, prevented SKF 83822-induced CREB activation using a specific reporter assay.

To evaluate the potential contribution of PKA and ERK to the activation of ADAMTS2 expression, we incubated SK-N-SH cells with SKF 83822 D1 receptor agonist in combination with selective MAPK/ERK (selumetinib-AZD6244) and cAMP/PKA (H89 dihydrochloride) inhibitors. Both inhibitors prevented D1 receptor induced expression of ADAMTS2 (Fig. 3d), although only a cAMP/PKA inhibitor abrogated CREB-dependent transcription and phosphorylation (Fig. 3e, f).

Transcriptional mechanisms controlling ADAMTS2 gene expression downstream of dopamine D1 receptors

Our previous data suggest that there is a rapid activation of the signalling mechanisms controlling CREB activation after D1 receptor activation that can be modulated pharmacologically. We decided to challenge the contribution of cAMP/CREB signalling to the transcriptional activation of ADAMTS2 (Fig. 4a). We initially evaluated the activation of ADAMTS2 gene expression together with that of C-FOS, an ‘early response gene’ known to be a direct transcriptional target of CREB that was used as control. Our data showed that SKF 83822 activated mRNA expression of both ADAMTS2 and C-FOS. Interestingly, incubation with forskolin alone (a selective adenyl cyclase activator) was sufficient to trigger the transcription of both genes, whereas TPA (a PKC/MAPK activator) uniquely activated C-FOS transcription.

Fig. 4: Transcriptional mechanisms that control ADAMTS2 gene expression downstream of dopamine D1-class receptors.
figure 4

a RT-qPCR showing ADAMTS2 and C-FOS mRNA expression level in SK-N-SH cells incubated for 1 h with SKF 83822 (1 µM; blue bars) (N = 6 and N = 4, respectively), forskolin (10 µM; red bars) (N = 3 and N = 4, respectively) and TPA (10 ng/ml; green bars) (N = 3). b CREB1 knockdown SK-N-SH cells by lentiviral inducible shRNA and GFP reporter construct (yellow bars), incubated with doxycycline (1 µg/ml) for 72 h, CREB1 mRNA level (up) and CREB protein total expression (down) in non-targeted control (NTC) or shCREB1 cells (N = 3). Inducible CREB1 Knockdown SK-N-SH cells were incubated for 1 h with SKF 83822 (1 µM, blue bars), forskolin (10 µM, red bars) and TPA (10 ng/ml, green bars): RT-qPCR showing ADAMTS2 (c) and C-FOS (d) mRNA expression in inducible shCREB1 or non-targeted control (NTC) cells incubated with doxycycline (1 µg/ml) for 72 h (N = 3-4). e Shows western blottings using anti-phospho-CREB and anti-phospho-ERK, as well as anti-CREB and anti-ERK antibodies: inducible shCREB1 or non-targeted control (NTC) SK-N-SH cells incubated with doxycycline (1 µg/ml) for 72 h and then incubated for 15 min with SKF 83822 (1 µM), forskolin (10 µM) and TPA (10 ng/ml) (N = 3). Inducible knockdown cells were selected with puromycin (1 µg/ml) at least 7 days. Blots images are representative of independent experiments. Data are mean ± SEM; Student’s t-test: *p < 0.05, **p < 0.01, ***p < 0.001 vs. vehicle or doxycycline (−); and #p < 0.05, ###p < 0.001 vs. each condition in NTC cells.

To explore the implication of CREB in D1 receptor-mediated ADAMTS2 expression, we generated stable SK-N-SH cells with inducible expression of control or CREB1 shRNAs upon addition of doxycycline to the culture media. Using this approach, we reduced CREB1 mRNA and protein expression, as shown in Fig. 4b. Under these settings, SKF 83822 and forskolin failed to induce the expression of ADAMTS2 (Fig. 4c). Interestingly, SKF 83822 did not significantly activate C-FOS expression in CREB1 knocked down cells when compared with control cells; in contrast, TPA did (Fig. 4d). A schematic representation of the signalling pathways and the molecules used in this work is illustrated in Fig. 5 for explanatory purposes. The above-mentioned results were further confirmed using SK-N-SH cells stably expressing control or CREB1 shRNAs (Supplementary Fig. S5). Mechanistically, reduced CREB expression did not impair ERK phosphorylation elicited downstream of D1 receptor activation by SKF 83822 (Fig. 4e). In this context, we also used forskolin and TPA as controls for selective activation of CREB and ERK, respectively (Fig. 4e and Supplementary Fig. S6). Thus, activation of CREB seems to play a key role in the control of ADAMTS2 gene expression downstream of D1 receptors.

Fig. 5: Schematic representation of the mechanisms that control ADAMTS2 gene expression.
figure 5

Selective stimulation of D1 receptors by SKF 83822 (selective D1 receptor agonist) triggers the expression of ADAMTS2. Two main pathways seem to be involved: (1) Gαs/AC/cAMP/PKA signalling and (2) MEK/ERK1/2 signalling. Downstream of D1 both PKA and ERK can phosphorylate CREB at Ser133 and activate transcription of ADAMTS2. Specific activators of PKA (Forskolin) and MEK (TPA) are highlighted in blue. Specific inhibitors of PKA (H89) and MEK (selumetinib) are coloured in red. DA D1 (dopamine D1 receptor), Gsα (G-protein α-subunit), Gβγ (G-protein βγ-subunits), AC (adenyl cyclase), PKA (protein kinase A), CRE (cyclic AMP-responsive element) site and PM (plasmatic membrane). Arrows: direct interaction, dashed arrows: indirect interaction.

Discussion

Our results revealed that treatment with APDs control ADAMTS2 expression, which is directly associated with dopaminergic signalling, primarily with the D1-class receptors and downstream through cAMP/CREB and MAPK signalling. Interestingly, ADAMTS2 mRNA and protein were specifically found in mesolimbic and mesocortical dopaminergic regions in mice. Our data suggest that D1 receptor signalling towards CREB activation and its effects on ADAMTS2 expression may be linked to key biological mechanisms in SCZ and the clinical response to APDs21,22.

In the context of the local PAFIP programme, we collected a new cohort of 30 drug-naïve SCZ patients with associated clinical data and follow-up. Using these cases alongside ‘healthy’ controls, we attempted an independent validation of our previous results using a different cohort of cases16,17. In this cohort, we confirmed ADAMTS2 as a significant gene that was highly overexpressed at baseline in PBMCs from drug-naïve SCZ individuals and which returned to ‘normal’ levels in clinical responders treated with APDs (clinical rate scales in Table 1). Although, there is not always a direct correlation between the biomarkers obtained in peripheral blood cells and the central nervous system (CNS) samples, a previous study in a rodent model of SCZ have shown a certain parallelism between the expression in human PBMCs16,17 and mouse frontal cortex samples23. Supporting the previously mentioned data, ADAMTS2 mRNA expression was quickly downregulated by all APDs in neuronal-like cells. Moreover, whereas the activities of paliperidone, risperidone, and aripiprazole downregulating ADAMTS2 mRNA were transitory in such cells, those of clozapine and haloperidol were sustained to up to 24 h. The molecular effects exerted by clozapine and haloperidol as compared with other APDs might deserve further investigations. In this respect, clozapine has shown superior efficacy for treatment-resistant and suicidality, as well as its apparent ability to decrease substance use in SCZ24. Thus, ADAMTS2 might play a key, and yet to be defined, mechanistic role in both the illness onset and clinical responses, regardless of the type of APD used.

There is scarce information regarding specific ADAMTS2 expression and activity in the CNS. Therefore, we analysed the expression profiles of ADAMTS2 mRNA and protein in mice. Interestingly, these were specifically localized in brain regions that are part of the mesolimbic and mesocortical dopamine systems (i.e., the dentate gyrus in the hippocampus and the ventral tegmental area21,22,25. At a prenatal stage (E18.5), ADAMTS2 protein was mapped in the neuropiles of anterior brain structures, anterior cingulate cortex, superficial striatum and lateral septum, where neuronal expression of dopamine D1 and D2 receptors was detected by in situ hybridization (http://developingmouse.brain-map.org/). The hypothesis that dopamine and dopaminergic mechanisms are essential to psychosis, and particularly to SCZ, has been one of the most enduring ideas about this disorder26. Elevated presynaptic striatal dopamine correlates most closely with the symptom dimension of psychosis and blockade of this heightened transmission leads to a resolution of symptoms for most patients27. Nonetheless, the functional association between ADAMTS2 and the dopaminergic system has not been previously established, to our best knowledge. ADAMTS2 is a member of the ADAM Metallopeptidase with Thrombospondin family28,29, with a number of targets such as the N-propeptides of procollagens I–III, fibronectin, decorin and Dkk3 participating in extracellular matrix (ECM) organization, as well as in transforming growth factor (TGF)-β and WNT signalling30,31. Alterations in the ECM as well as TGF-β and WNT signalling have been associated with SCZ32,33,34. Moreover, deregulated mRNA expression of MMPs (MMP-16, -24 and -25) and ADAMTS (ADAMTS-1, -6 and -8) families of proteases have also been reported in SCZ35,36. Thus, considering ADAMTS2 expression and its associated activities in the CNS, as well as the data presented in this work, it is conceivable to speculate that it could participate in SCZ at different stages of the disease. In this regard, a selective D1-class receptor agonist (SKF 83822) significantly activated ADAMTS2 expression, and haloperidol and clozapine blocked this activation in neuronal-derived cells. It will be of interest, to address these appealing questions, within the next future, using SCZ and/or ADAMTS2 transgenic mice models.

D1 receptors are the most abundant dopaminergic receptor in CNS and their functional crosstalk with D2 receptor is well documented11,37,38. D1 receptor activate adenylyl cyclase (AC), which in turn regulate intracellular cAMP levels leading to PKA activation and CREB phosphorylation39,40,41. Our data have shown that selective D1 receptor activation upregulated ADAMTS2 expression alongside a rapid phosphorylation of CREB and ERK proteins, which resulted in CREB-mediated transcriptional activity as detected by using specific reporter assays (Fig. 3). In support of this and in our system, ADAMTS2 transcription was specifically triggered by activation of D1 receptors (by SKF 83822), Gαs (using CTX) and AC (forskolin). Thus, it is possible that, as part of the dopaminergic activity, ADAMTS2 could act as a major cAMP/CREB effector in SCZ. Interestingly, D1 receptor-mediated CREB activation was abrogated by clozapine (Fig. 3c), providing evidence that cAMP/CREB signalling, and therefore ADAMTS2 expression, can be modulated by APDs. Our findings reveal the contribution of D1 receptors over ADAMTS2 transcription, and also indicate the participation of D2 and 5-HT2A receptors in the effect of clozapine in the control of ADAMTS2 expression. In this regard, it has been reported that clozapine can act as a biased agonist on 5-HT2A receptors42,43 and/or affect the hetero-dimer D2/5-HT2A44. Moreover, disrupting cAMP/CREB and ERK signalling using selective PKA and MEK inhibitors also impaired ADAMTS2 expression and CREB activity (in this case, only when it was PKA dependent) in neuronal-like cells. Supporting these observations, recent data pointed at cAMP/CREB signalling as an important mechanism linking dopaminergic signalling with the pathophysiology of SCZ45. Moreover, incubating SK-N-SH cells with forskolin was sufficient to trigger ADAMTS2 expression that occurred alongside PKA and CREB activation. Forskolin directly activates AC in mammals, thereby promoting a rapid phosphorylation of CREB via PKA46,47. In addition, in CREB-knockdown cells, D1 receptor activation failed to increase ADAMTS2 gene expression, reinforcing the idea that cAMP/CREB is an essential mechanism to control ADAMTS2 transcriptional activation.

Finally, a number of potential limitations could be considered when interpreting our data and the scope of our findings: (1) sample size in this study is rather small (N = 30). Noteworthy, we selected a group of patients with a first episode of non-affective psychosis, who had not previously taken APDs (not even a single dose) at the time of baseline blood test to avoid any interference with the mRNA levels. Only those individuals who gave written consent and had mRNA samples at baseline and at 3 months were eligible for this study. Therefore, all these stringent inclusion criteria limited the number of patients in this cohort. Further investigations to replicate our findings using larger and more heterogeneous groups are warranted. (2) Transcriptomic data obtained from blood samples might not resemble that of the brain. (3) ADAMTS2 protein and mRNA expression show modest but detectable levels in ‘healthy’ human and mouse brain samples (https://www.proteinatlas.org). Thus, it is conceivable to detect high fold increases when analysing diseased specimens, like in this case ADAMTS2 in SCZ. (4) Failure of some APDs to inhibit CREB activity and/or ADAMTS2 mRNA expression in a D1 receptor-context. Our data herein do not discard that APDs might regulate ADAMTS2 by indirect mechanisms like for example those involving β-arrestin, ERK or AKT signalling42,48.

In conclusion, we have confirmed the association between ADAMTS2 expression and SCZ disease including its potential role in the clinical efficacy of APDs. Transcription of ADAMTS2 is primarily controlled by the activity of D1-class receptors through cAMP/CREB and MAPK signalling. The unbiased investigation of the molecular mechanisms triggered by APDs, may provide a landscape of novel targets potentially associated with improved therapeutic responses.