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. 2017 Nov 29;37(48):11688–11700. doi: 10.1523/JNEUROSCI.3487-16.2017

Heterozygosity for the Mood Disorder-Associated Variant Gln460Arg Alters P2X7 Receptor Function and Sleep Quality

Michael W Metzger 1,*, Sandra M Walser 1,*, Nina Dedic 1,*, Fernando Aprile-Garcia 2, Vladimira Jakubcakova 1, Marek Adamczyk 1, Katharine J Webb 1, Manfred Uhr 1, Damian Refojo 1,2, Mathias V Schmidt 1, Elisabeth Friess 1, Axel Steiger 1, Mayumi Kimura 1, Alon Chen 1,3, Florian Holsboer 1, Eduardo Arzt 1,2, Wolfgang Wurst 4,5,6,7, Jan M Deussing 1,
PMCID: PMC6705750  PMID: 29079688

Abstract

A single nucleotide polymorphism substitution from glutamine (Gln, Q) to arginine (Arg, R) at codon 460 of the purinergic P2X7 receptor (P2X7R) has repeatedly been associated with mood disorders. The P2X7R-Gln460Arg variant per se is not compromised in its function. However, heterologous expression of P2X7R-Gln460Arg together with wild-type P2X7R has recently been demonstrated to impair receptor function. Here we show that this also applies to humanized mice coexpressing both human P2X7R variants. Primary hippocampal cells derived from heterozygous mice showed an attenuated calcium uptake upon agonist stimulation. While humanized mice were unaffected in their behavioral repertoire under basal housing conditions, mice that harbor both P2X7R variants showed alterations in their sleep quality resembling signs of a prodromal disease stage. Also healthy heterozygous human subjects showed mild changes in sleep parameters. These results indicate that heterozygosity for the wild-type P2X7R and its mood disorder-associated variant P2X7R-Gln460Arg represents a genetic risk factor, which is potentially able to convey susceptibility to mood disorders.

SIGNIFICANCE STATEMENT Depression and bipolar disorder are the most common mood disorders. The P2X7 receptor (P2X7R) regulates many cellular functions. Its polymorphic variant Gln460Arg has repeatedly been associated with mood disorders. Genetically engineered mice, with human P2X7R, revealed that heterozygous mice (i.e., they coexpress the disease-associated Gln460Arg variant together with its normal version) have impaired receptor function and showed sleep disturbances. Human participants with the heterozygote genotype also had subtle alterations in their sleep profile. Our findings suggest that altered P2X7R function in heterozygote individuals disturbs sleep and might increase the risk for developing mood disorders.

Keywords: humanized mouse model, mood disorder, P2X7 receptor, purinergic signaling, sleep, stress

Introduction

Major depression (MD) and bipolar disorder (BD) represent the most prevalent mood disorders (Collins et al., 2011). Despite their high heritability, the identification of susceptibility genes has been challenging, with many discoveries failing replication. This is largely owing to the inherent phenotypic and genetic heterogeneity of these disorders as well as the difficulty in controlling for environmental factors, which interfere with disease etiology (Bosker et al., 2011).

A potential susceptibility gene for mood disorders is P2RX7, which is located on chromosome 12q24, a region that has been repeatedly associated with MD and BD (Degn et al., 2001; Abkevich et al., 2003). The P2RX7 gene encodes the purinergic P2X7 receptor (P2X7R), which is a member of the P2X family of ATP-gated ion channels (Surprenant et al., 1996; Khakh and North, 2006). Unlike other family members, P2X7 subunits primarily form homotrimeric complexes (Torres et al., 1999; Nicke, 2008). The nonsynonymous single nucleotide polymorphism (SNP) rs2230912 (base change 1405 A>G), which leads to a substitution of glutamine (Gln, Q) by arginine (Arg, R) at codon 460 (Gln460Arg, Q460R), has been associated with mood disorders (Barden et al., 2006; Lucae et al., 2006; Nagy et al., 2008; Hejjas et al., 2009; McQuillin et al., 2009; Soronen et al., 2011).

The P2X7R is well known for its presence in immune, endothelial, and epithelial cells where it regulates various aspects of immune function, including expression and secretion of cytokines and other inflammatory mediators (Wiley et al., 2011). Owing to its association with mood disorders and its involvement in neuroinflammatory processes, the role of the P2X7R in the CNS has been attracting increasing attention (Bartlett et al., 2014; Sperlágh and Illes, 2014). In the CNS, P2X7R expression has been detected in all of the main cell lineages including astrocytes, oligodendrocytes, microglia, and neurons. Under baseline conditions, its neuronal expression is restricted to excitatory neurons of the hippocampus (Metzger et al., 2017). Pharmacological approaches and knock-out (KO) mice have demonstrated that P2X7R contributes to the regulation of various neuronal functions including neurotransmitter release and synaptic transmission (Deuchars et al., 2001; Miras-Portugal et al., 2003; Papp et al., 2004). In addition, KO mice revealed P2X7R-dependent alterations in different aspects of emotional behavior related to mood disorders (Basso et al., 2009; Boucher et al., 2011; Csölle et al., 2013).

However, several studies have not detected statistically significant associations of the Gln460Arg polymorphism with mood disorders (Green et al., 2009; Grigoroiu-Serbanescu et al., 2009; Yosifova et al., 2009; Lavebratt et al., 2010; Backlund et al., 2011; Viikki et al., 2011; Halmai et al., 2013). Therefore, we set out to functionally validate the association of the Gln460Arg polymorphism in both genetically engineered mouse models humanized for the P2X7R and human subjects specifically genotyped for rs2230912. In contrast to the many loss-of-function and gain-of-function polymorphisms that have been identified, the mood disorder-associated P2X7R-Gln460Arg variant is not compromised in its activity (Roger et al., 2010; Aprile-Garcia et al., 2016). Similar to previous in vitro studies, we demonstrate here that only the coexpression of hP2X7R-Gln460Arg with hP2X7R-wild-type (WT) impairs normal receptor function in mice. Accordingly, humanized mice expressing either human WT P2X7R or hP2X7R-Gln460Arg presented no pathological findings. However, mice heterozygous for both variants exhibited significant differences in sleep parameters, which remarkably paralleled the sleep alterations seen in healthy heterozygous human subjects. Finally, the interaction of this genetic predisposition together with chronic stress as an environmental challenge revealed an increased vulnerability of heterozygous humanized P2X7R mice to develop mood disorder-like phenotypes.

Materials and Methods

Generation of humanized P2X7R mice.

Humanized P2X7R mice (hP2RX7) were generated by knockin of the Gln460Arg variant of the human P2X7R cDNA to the murine P2rx7 locus using standard gene-targeting procedures in mouse embryonic stem cells, as previously described (Metzger et al., 2017). Briefly, murine exon 2 was replaced by the human P2RX7 cDNA comprising exons 2–13. The variant of the human cDNA was constructed as previously described (Aprile-Garcia et al., 2016) and appeared with the following amino acid sequences at the 11 positions of previously identified haplotypes P2X7-1, P2X7-2, and P2X7-4 (Stokes et al., 2010): Val-76, Gly-150, His-155, Arg-270, Arg-276, Arg-307, Ala-348, Thr-357, Arg-460, Glu-496, and Ile-568. Mice were kept on a mixed 129S2/SvPas × C57BL/6J background. General genotyping of humanized mice was performed as previously described (Metzger et al., 2017). Humanized alleles were identified by PCR using primers 5′-GTG-GAT-GAA-TCC-CAC-ATT-AGG-ATG-GTG-3′ and 5′-TAC-TGC-CCT-TCA-CTC-TTC-GGA-AAC-3′, resulting in a 557 bp product followed by a restriction digest of the PCR product with PvuII resulting in 171, 332, and 54 bp fragments for the humanized WT (Gln460) allele, and 503 and 54 bp fragments for the humanized mutant allele (Arg460).

Reverse transcriptase quantitative real-time PCR.

For the quantification of mRNA expression levels, RNA was isolated using TRIzol reagent (catalog #15596-026, Thermo Fisher Scientific) and transcribed to cDNA using the SuperScript II Reverse Transcriptase Kit (catalog #18064014, Thermo Fisher Scientific) following the manufacturer protocols. Quantitative PCR was performed in a LightCycler96 (Roche Applied Science) using the Master SYBR Green Kit I (catalog #03003230001, Roche Diagnostics). The following primers were used: hP2RX7-for 5′-ATG-TCA-AGG-GCC-AAG-AAG-TC-3′; and hP2RX7-rev 5′-AGG-AAT-CGG-GGG-TGT-GTC-3′.

In situ hybridization.

For in situ hybridization, 35S-UTP-labeled riboprobes were hybridized on 20-μm-thick brain cryosections. The mouse-specific P2X7R probe comprises nucleotides 1215–1636 (GenBank accession no. NM_011027). The human-specific P2X7R probe comprises nucleotides 1195–1616 (GenBank accession no. NM_002562).

Interleukin-1β assay.

Peritoneal macrophages were isolated as previously described (Basso et al., 2009). Lipopolysaccharide (LPS) at a concentration of 3 μg/ml was added, and the cells were allowed to prime for 2 h. The cells were then challenged with 1 mm P2X7R agonist 2′,3′-O-(benzoyl-4-benzoyl)-ATP (BzATP) for 30 min. Supernatants were collected and analyzed for interleukin-1β (IL-1β) using an ELISA kit following the manufacturer instructions (catalog #KMC0011C, Thermo Fisher Scientific).

Primary hippocampal cell culture.

Primary hippocampal cultures were prepared from mice at postnatal day 2. Mice were killed by decapitation, brains were dissected free of meninges, and hippocampi were isolated. Subsequently, tissues were dissociated and suspended in DMEM/F12 medium (Invitrogen) supplemented with 10% FCS and 1% penicillin/streptomycin. Primary cells were cultivated in six-well plates (200,000 cells/well) until they reached confluency before used for calcium imaging.

Calcium imaging.

Confluent cells were trypsinized and plated at a low density of 10,000 cells/cm2 on eight-well culture slides (Nunc Lab-Tek II Chamber Slide System, Thermo Fisher Scientific) to evaluate single cells in the measurements. After 2 d of recovery post-trypsinization, cells were loaded for 45 min in darkness with Fluo-4 AM 6 μm (Invitrogen) and Pluronic F-127 0.14% (Invitrogen) in a Ca2+ buffer (125 mm NaCl, 5 mm KCl, 0.4 mm CaCl2, 1 mm MgSO4, 5 mm NaHCO3, 1 mm Na2HPO4, 10 mm glucose, and 20 mm HEPES, pH 7.4), and then were placed on the stage of an Olympus IX81 inverted confocal fluorescence microscope. Microscope pictures were captured with the 10× UPlanSApo (0.4 numerical aperture) objective. Calcium imaging data are presented as ΔF/F0, where F0 is the resting fluorescence (before stimulation) and ΔF is the peak change in fluorescence from resting levels.

Behavioral characterization of mice.

Behavioral characterization was performed using male humanized P2X7R mice (11–13 weeks of age). All mice were single housed for 2 weeks before the experiment under standard laboratory conditions and were maintained on a 12 h light/dark cycle (lights on from 7:00 A.M. until 7:00 P.M.), with food and water provided ad libitum. All animal experiments were conducted in accordance with the Guide for the Care and Use of Laboratory Animals of the Government of Bavaria, Germany. Behavioral phenotyping comprised the open field (OF) test, elevated plus maze (EPM), dark-light box (DaLi) test, forced swim test (FST), social approach/avoidance test, and female urine sniffing test (FUST), which were conducted as previously described (Malkesman et al., 2010; Hartmann et al., 2012a; Yen et al., 2012). In the EPM. The open arm time is calculated in relation to closed arm time and is consequently depicted in percentages. The open arm time was calculated as follows: open arm time/(open arm time + closed arm time) × 100. Mice were excluded from analysis in the EPM if they fell off the platforms. If mice did not move throughout the entire course of the OF test, they were excluded from the analysis. Mice that failed to approach the cotton tip during the water and urine trial were excluded from the FUST analysis.

Chronic social defeat stress paradigm.

Male mice (11–13 weeks of age) were submitted to undergo chronic social defeat stress (CSDS) for 21 consecutive days as previously described (Hartmann et al., 2012a).

Sleep phenotyping in mice.

To monitor spontaneous sleep–wake behavior, mice were chronically implanted with electroencephalographic (EEG) and electromyographic (EMG) electrodes. The polysomnographic recording setup was the same as previously reported (Kimura et al., 2010). EEG and EMG recordings (EGErA Data Acquisition System, SEA) were performed continuously for 24 h in unrestrained adult male hP2X7R mice. Vigilance states are defined as wake, non-rapid eye movement (REM) sleep (NREMS), or REM sleep (REMS), respectively, in 4 s epochs and manually corrected if necessary.

Sleep phenotyping in humans.

The study followed the guidelines in the Declaration of Helsinki. The ethical review board approved the study, and prior written informed consent was obtained from the participants. We investigated the sleep EEG recordings of n = 53 young healthy male subjects (age range, 18–30 years) in relation to their Gln460Arg variant (rs2230912) of the P2RX7 gene. Thirty-nine subjects (mean ± SEM age, 25.74 ± 0.44 years) were identified as carriers of the homozygous (A/A) gene variant, whereas n = 14 subjects (mean ± SEM age, 25.5 ± 0.65 years) were heterozygous individuals (A/G genotype). No homozygous G/G carriers were identified (minor allele frequency, 0.05).

Polysomnographic recordings (Comlab 32 Digital Sleep Lab, Schwarzer) were performed according to the international 10–20 electrode system. EEG electrodes included F3, F4, C3, C4, P3, P4, O1, and O2, which were referenced against the contralateral mastoid. Sleep stages were visually scored according to the standard guidelines (Rechtschaffen and Kales, 1968). Details of the study design used in the human polysomnographic set up are described in the study by Adamczyk et al. (2015).

Statistical analyses.

Data and statistical analysis were performed with the computer programs GraphPad Prism version 5.0 (GraphPad; RRID:SCR_002798) and SPSS version 16 (SPSS; RRID:SCR_002865). All results are shown as the mean ± SEM. Sample sizes were chosen based on previous publications reporting similar group sizes. Investigators were blinded to the experimental groups during the experiments and data analysis.

For calcium imaging, data ANOVA with repeated-measures (RM) design were applied. Real-time PCR data were analyzed by one-way ANOVA with a Scheffé's post hoc test.

The effects of genotype on mouse sleep and of genotype and stress on behavior and neuroendocrine data were examined by two-way multivariate ANOVA (MANOVA). ANOVA with repeated-measures design was applied for the assessment of fur state progression and locomotion in the OF test. A Tukey's (behavioral characterization) or a Bonferroni's (sleep phenotyping) post hoc test was applied whenever significant main or interaction effects were observed. Significance was accepted at p = 0.05. Subjects were assigned to treatment groups based on their genotype without using a specific method. An F test (for t tests) or Bartlett's test (for ANOVA) was performed to estimate the variation within each group of data. The statistically compared groups had similar variance.

Human sleep data were analyzed as follows: The assumptions of parametric tests were checked for each investigated parameter. Normal distribution was controlled via the Kolmogorov–Smirnov test, and variances were compared with the F test. Prerequisites were considered to be violated if the appropriate test showed a significant result at the 5% level. If data did not fulfill these criteria, they were either power transformed (when skewed to the left; sleep period time) or log transformed (when skewed to the right; all EEG spectral data), respectively, before statistical analysis. MANOVA was performed to compare sleep architecture and sleep continuity between genotypes (A/A, A/G). Two-way mixed-model ANOVA with the between-subject factor genotype (A/A, A/G), and the within-subject factor derivation (F3A2, C3A3, P3A2, and O1A2) was performed for EEG power activity. All univariate post hoc comparisons of means between the genotypes were performed with the two-tailed unpaired t test.

Results

P2X7R function is attenuated in heterozygous humanized mice coexpressing hP2X7R-WT and hP2X7R-Gln460Arg

To investigate the impact of the mood disorder-associated Gln460Arg polymorphism in vivo we humanized the murine P2X7 receptor (mP2X7R) by substituting the murine exon 2 with a human cDNA expression unit, which covers exons 2–13 and in addition carries the polymorphism (hP2X7R-Gln460Arg; Fig. 1A,B). This strategy was chosen to maintain all regulatory elements crucial for proper temporal and spatial expression of the humanized P2X7R. To address the significant species-specific difference with respect to the affinity of the receptor toward its ligand and different modulators, we used a mouse line expressing the humanized WT P2X7R (hP2X7R-WT) instead of mP2X7R, which enabled direct comparison (Fig. 1C; Metzger et al., 2017). The temporal and spatial expression of hP2X7R variants in both humanized P2X7R mouse lines (hP2RX7), either homozygous for the WT hP2X7R-Gln460 (P2rx7hGln460/hGln460, referred to as P2rx7hWT) or for the hP2X7R-Arg460 variant (P2rx7hArg460/hArg460, referred to as P2rx7hQ460R) is indistinguishable from endogenous mP2X7R expression. This was demonstrated by in situ hybridization using species-specific riboprobes, which revealed the characteristic strong expression of P2X7R in the hippocampal CA3 region (Fig. 1D). We further confirmed that the expression levels of hP2X7R-WT and hP2X7R-Gln460Arg were identical, thus enabling a meaningful comparison of the humanized mouse lines (Fig. 1E). Both lines express a fully functional hP2X7R, as indicated by their capability to induce the release of IL-1β from peritoneal macrophages stimulated with LPS and BzATP (Fig. 1F).

Figure 1.

Figure 1.

Establishment of humanized P2X7R mice (hP2RX7). A, Targeting strategy for knockin of the human P2RX7 cDNA into the mouse P2rx7 locus. Partial restriction maps [only relevant BamHI (B) sites are depicted] of the wild-type P2rx7 locus, targeting vector, and mutant locus following homologous recombination and loxP-flanked humanized locus after Flp recombinase-mediated deletion of the neomycin selection marker (pA; 4 × polyadenylation signal). B, Southern blot analysis of genomic DNA from an embryonic stem cell clone targeted with the human P2X7R-Q460R construct, which was used to generate P2rx7Q460R mice. The targeted allele is indicated by the presence of an additional 7.4 kb fragment. C, General strategy to substitute the murine P2X7R by the human WT receptor or its P2X7R-Q460R variant. D, The mRNA expression of human P2X7R in knock-in mice fully recapitulates endogenous expression of murine P2X7R, as demonstrated by in situ hybridization on coronal brain sections. Depicted are photomicrographs of the hippocampus (scale bar, 100 μm) with magnifications of the hippocampal CA3 region shown below. E, Human P2X7R mRNA is expressed at identical levels in the cortex (Ctx), hippocampus (Hip), and cerebellum (Cb) of heterozygous P2rx7+/hWT and P2rx7+/Q460R mice (n = 6). E, Human P2X7R mRNA is expressed at identical levels in the cortex (Ctx), hippocampus (Hip), and cerebellum (Cb) of heterozygous P2rx7+/hWT and P2rx7+/Q460R mice (n = 6). F, Validation of hP2X7R functionality in P2rx7hWT and P2rx7hQ460R mice as determined by IL-1β release. Peritoneal macrophages of P2rx7hWT and of P2rx7hQ460R mice are able to secrete IL-1β in response to LPS stimulation and subsequent treatment with the P2X7R agonist BzATP (n = 4). Data are expressed as the mean ± SEM.

Our previous in vitro results indicated that coexpression of hP2X7R-Q460R and hP2X7R-WT reduces receptor activity (Aprile-Garcia et al., 2016). Therefore, P2rx7hWT and P2rx7hQ460R mice were intercrossed to yield heterozygous P2rx7hGln460/hArg460 animals (referred to as P2rx7hHET), which were finally interbred to obtain P2rx7hWT, P2rx7hHET, and P2rx7hQ460R offspring at Mendelian rates (Fig. 2A,B). We used mixed primary hippocampal cell cultures to assess P2X7R function in humanized mice in more detail. BzATP stimulation revealed an attenuated calcium uptake of primary cells derived from heterozygous hP2rx7hHET mice compared with those originating from homozygous hP2rx7hWT or hP2rx7hQ460R mice (RM ANOVA: time: F(29,406) = 56.07, p < 0.0001; time × genotype: F(58,406) = 1.52, p = 0.012; genotype: F(2,406) = 8.96, p = 0.003; n = 6 P2rx7hWT, n = 7 P2rx7hHET, n = and 4 P2rx7hQ460R; Fig. 2C).

Figure 2.

Figure 2.

Generation and basal characterization of heterozygous humanized P2X7R mice. A, Scheme illustrating the generation of P2rx7hWT, P2rx7hHET, and P2rx7hQ460R mice. B, Genotyping was performed by PCR and subsequent restriction digestion of the 557 bp PCR product with PvuII. C, Calcium uptake following BzATP treatment of primary hippocampal cells is attenuated in heterozygous hP2rx7hHET mice. For each primary culture preparation, three independent measurements were performed (RM ANOVA, *p < 0.05, n = 4–7). D–G, Basal behavioral characterization of hP2X7R mice revealed no differences in the total distance traveled of the OF test (D), in the time spent in the open arm of the EPM (E) or lit zone time of the DaLi test (F), and in total immobility during the FST (one-way ANOVA, n = 11–12; G). Data are expressed as the mean ± SEM.

A comprehensive basal behavioral phenotyping of humanized mice did not reveal any significant differences in emotional behavior as assessed by the OF test (one-way ANOVA, F(2,31) = 0.84, p = 0.44, n = 11–12), EPM (one-way ANOVA, F(2,33) = 0.11, p = 0.89, n = 11–13), DaLi test (one-way ANOVA, F(2,32) = 1.71, p = 0.19, n = 11–12), or FST (one-way ANOVA, F(2,33) = 0.82, p = 0.45, n = 11–12) under standard housing conditions (Fig. 2D–G).

hP2X7R-WT/hP2X7R-Gln460Arg heterozygosity negatively affects sleep quality

Since impaired sleep is one of the most robust symptoms accompanying mood disorders, we additionally monitored EEG activity and assessed spontaneous sleep–wake behavior in hP2RX7 mice. All three genotypes of hP2RX7 mice showed unaltered nocturnal sleep–wake behavior, as indicated by the normal distribution of NREMS (two-way ANOVA: genotype: F(2,360) = 0.75, p = 0.75; time: F(11,360) = 68.13, p < 0.0001; genotype × time: F(22,360) = 1.42, p = 1.10; n = 11 in all groups) and REMS (two-way ANOVA: genotype: F(2,360) = 0.76, p = 0.47; time: F(11,360) = 73.39, p < 0.0001; genotype × time: F(22,360) = 2.04, p < 0.05; n = 11 in all groups; Fig. 3A,B; Table 1). However, heterozygous mice showed a significantly higher number of episode entries to REMS during the light period (two-way ANOVA: genotype: F(2,60) = 4.83, p < 0.05; Bonferroni's multiple comparisons test: p < 0.01; Fig. 3C; Table 2), suggesting a stronger drive toward REMS and more fragmented sleep cycles compared with P2rx7hWT and P2rx7hQ460R mice. Additionally, slow-wave activity (SWA) during NREMS, which measures the depth of NREMS, was constantly lower in heterozygous mice (two-way ANOVA: genotype: F(2,168) = 11.23, p < 0.0001; light period; F(2,168) = 3.85, p < 0.05; dark period; n = 9–11; Fig. 3D; Table 1). Accordingly, only a small amount of deep NREMS (SWS2; containing >50% of delta activity) was detected in P2rx7hHET mice (two-way ANOVA: genotype: F(2,168) = 15.46, p < 0.0001; light period; F(2,168) = 8.14, p < 0.001; dark period; n = 9–11; Fig. 3E; Table 1), suggesting a shallower NREMS stage. This finding is also reflected in the spectrograms, where P2rx7hHET mice exhibited reduced power densities in lower-frequency activities of the EEG (Fig. 3F). These results indicate that P2rx7HET mice have an altered sleep architecture and attenuated quality of sleep compared with P2rx7hWT and P2rx7hQ460R littermates.

Figure 3.

Figure 3.

Heterozygosity for hP2X7R-WT with hP2X7R-Gln460Arg alters sleep parameters in hP2RX7 mice. A, B, No genotype differences were observed in the length of NREMS (A) or REMS (B) across the 24 h recording period (2 h mean ± SEM). C, The architecture of REMS was significantly altered in P2rx7hHET mice that showed more frequent entries to the REMS epoch during the light period (12 h mean ± SEM; *p < 0.05). D, SWA during NREMS was significantly attenuated in heterozygous mice (2 h mean ± SEM; *p < 0.05, **p < 0.001). E, P2rx7hHET mice rarely entered SWS2 across the entire 24 h (2 h mean ± SEM; **p < 0.001). F, Hypnograms and spectrograms of representative animals for each genotype. P2rx7hHET mice show suppression of EEG power in lower-frequency bands, indicating a lower sleep quality.

Table 1.

Amounts of wakefulness, NREMS and REMS, normalized SWA and SWS2 across the light/dark cycle in P2rx7hWT, P2rx7hHET, and P2rx7hQ460R mice

Light
Dark
Wake (%) NREMS (%) REMS (%) SWA SWS2 (min) Wake (%) NREMS (%) REMS (%) SWA SWS2 (min)
hWT 27.83 ± 2.89 64.24 ± 2.36 7.93 ± 0.62 60.19 ± 1.59 3.49 ± 0.43 63.96 ± 5.04 33.09 ± 4.34 2.38 ± 0.59 60.88 ± 3.29 2.66 ± 0.48
hHET 30.61 ± 2.93 61.83 ± 2.44 7.56 ± 0.55 46.92 ± 1.14 0.95 ± 0.13 59.02 ± 5.64 37.35 ± 4.93 3.10 ± 0.70 44.30 ± 3.74 0.92 ± 0.25
hQ460R 28.13 ± 2.66 64.41 ± 2.21 7.46 ± 0.53 51.98 ± 1.40 2.96 ± 0.34 60.38 ± 3.69 36.62 ± 3.18 2.57 ± 0.45 49.37 ± 3.34 2.29 ± 0.39
p value 0.7506 0.6871 0.8299 <0.0001 <0.0001 0.7609 0.7479 0.6780 0.0059 0.0076

Data are mean values ± SEM; n = 9, P2rx7hWT mice (hWT); n = 11, P2rx7hHET (hHET) and P2rx7hQ460R (hQ460R) mice. Comparisons of the 12 h intervals of the light and the dark period between genotypes were performed by one-way ANOVA factor “genotype,” followed by post hoc Bonferroni's test. The p values in bold type indicate statistical significance.

Table 2.

Average numbers and durations of wakefulness, NREMS, and REMS bouts under the baseline conditions in P2rx7hWT, P2rx7hHET, and P2rx7hQ460R mice

Mean duration (min)
p value Number of bouts
p value
hWT hHET hQ460R hWT hHET hQ460R
Light
    Wake 1.03 ± 0.11 0.95 ± 0.11 1.17 ± 0.07 0.2556 195.2 ± 14.94 210.7 ± 14.87 188.6 ± 6.50 0.4137
    NREMS 2.31 ± 0.19 2.08 ± 0.12 2.28 ± 0.08 0.3839 201.3 ± 14.86 221.7 ± 15.24 195.5 ± 6.4 0.2907
    REMS 1.19 ± 0.05 0.98 ± 0.06 1.18 ± 0.05 0.0157 44.89 ± 2.94 59.64 ± 4.66 46.00 ± 2.14 0.0086
Dark
    Wake 3.16 ± 1.08 3.40 ± 0.71 3.18 ± 0.50 0.9662 140.0 ± 16.81 135.3 ± 17.31 137.7 ± 13.11 0.9622
    NREMS 1.81 ± 0.20 1.71 ± 0.19 1.99 ± 0.14 0.4909 141.2 ± 17.03 138.5 ± 17.69 134.8 ± 12.96 0.9622
    REMS 1.03 ± 0.08 0.84 ± 0.07 1.12 ± 0.08 0.0347 18.88 ± 2.71 22.0 ± 3.69 19.91 ± 2.13 0.7673

Data are mean values ± SEM; n = 9, P2rx7hWT (hWT) mice; n = 11, P2rx7hHET (hHET) and P2rx7hQ460R (hQ460R) mice. Comparisons of the 12 h intervals of the light and the dark periods between genotypes were performed by one-way ANOVA factor “genotype,” followed by post hoc Bonferroni's test. The p values in bold type indicate statistical significance.

Heterozygote human Gln460Arg carriers show more shallow sleep and lower sleep spindle frequency

Heterozygous hP2rx7hHET mice showed signs of an increased REMS pressure together with lower sleep depth, which might be indicative of a presymptomatic disease stage. Since sleep is readily accessible in humans, we comprehensively assessed sleep parameters in healthy subjects genotyped for the rs2230912 SNP (1405G>A). The macroscopic sleep architecture revealed marginally impaired sleep continuity in heterozygous participants (A/G) compared with homozygous (A/A) participants. The sleep period time was reduced, whereas the sleep onset latency was increased in subjects with the heterozygous genotype (Table 3). In view of the impaired sleep structure in transgenic animals (more frequent entries to the REMS in heterozygous hP2X7R mice) as well as a tendency to lower sleep continuity in humans with the A/G genotype, we investigated the influence of genotype on sleep phase stability (frequency of entries into REMS and NREMS). Since typical sleep abnormalities in depression occur at the beginning of a night's sleep (Dresler et al., 2014), we analyzed the first sleep cycle. A/G carriers showed a significant increase in the number of entries into shallow sleep from NREMS stage 2. Additional parameters describing the direction of NREM entries [stage 2 into shallow sleep or wakefulness; slow-wave sleep (SWS) into shallow sleep or wakefulness] revealed that the sleep of A/G carriers was characterized by a significant instability of stage 2 sleep (higher numbers of entries from stage 2 sleep into shallow sleep or wakefulness) during the first sleep cycle (Table 3).

Table 3.

Sleep continuity, sleep architecture, and sleep-phase stability

A/A (n = 39) A/G (n = 14) p value*
Sleep continuity
    Total sleep time 402.73 ± 5.19 382.29 ± 11.92 0.07
    Sleep period time 464.96 ± 2.59 449.79 ± 8.56 0.04
    Sleep efficiency (%)** 86 ± 1 82 ± 2 0.11
    Sleep onset latency 15.15 ± 2.18 29.75 ± 8.55 0.05
All night sleep architecture NS
    NREM sleep 311.00 ± 4.58 291.89 ± 10.20
    SWS 88.22 ± 4.67 87.29 ± 8.84
    SWS latency 12.72 ± 1.21 11.89 ± 1.31
    Stage 1 sleep 33.91 ± 3.11 35.14 ± 3.73
    Stage 2 sleep 222.78 ± 5.09 204.61 ± 8.77
    Wakefulness 25.40 ± 3.43 28.04 ± 6.43
    REM sleep 90.50 ± 3.87 89.25 ± 6.46
    REM latency 82.00 ± 6.51 94.50 ± 14.91
First sleep cycle architecture NS
    NREM sleep 73.42 ± 5.50 78.32 ± 7.68
    SWS 40.51 ± 3.35 39.61 ± 4.90
    Stage 1 sleep 3.14 ± 0.46 7.82 ± 2.86
    Stage 2 sleep 32.91 ± 3.11 38.71 ± 4.68
    Wakefulness 2.21 ± 0.60 7.18 ± 4.41
    REM sleep 11.19 ± 1.12 14.68 ± 3.90
    All night sleep-phase stability NS
    Number of entries into REM sleep 13.87 ± 0.66 13.36 ± 1.90
    Number of entries into NREM sleep 25.62 ± 1.37 28.64 ± 2.75
    Switches from stage 2 into stage 1/wake 16.41 ± 1.28 21.07 ± 2.69
    Switches from SWS into stage 1/wake 2.74 ± 0.35 2.50 ± 0.45
First sleep cycle sleep-phase stability
    Number of entries into REM sleep 1.95 ± 0.16 2.50 ± 0.42 0.21
    Number of entries into NREM sleep 3.41 ± 0.41 6.71 ± 1.37 0.01
    Switches from stage 2 into stage 1/wake 2.05 ± 0.34 5.14 ± 1.26 0.01
    Switches from SWS into stage 1/wake 1.05 ± 0.18 1.29 ± 0.27 0.29

Group mean ± SEM of sleep characteristics in minutes. MANOVA revealed a marginal effect of genotype on sleep continuity, which tended to be worse in subjects with A/G genotype (F(4,48) = 2.388, p = 0.06). MANOVA did not detect genotype differences in sleep architecture in the whole night as well as during the first sleep cycle. Also, MANOVA revealed significant lower sleep-phase stability in subjects with A/G genotype in the first sleep cycle (F(2,50) = 2.361, p = 0.047). The p values in bold type indicate statistical significance.

*In case of significant MANOVA outcome, two-tailed unpaired post hoc t test.

**Sleep efficiency is the ratio of sleep to time spent in bed shown as a percentage.

The genotype effect on NREMS EEG frequency spectrum morphology is particularly related to sleep spindles. A/G carriers exhibited an increased amount of spectral power in spindle frequency. Two-way mixed-model ANOVA with the between-subject factor genotype (A/A, A/G) and the within-subject factor derivation (F3A2, C3A3, P3A2, and O1A2) performed for EEG power frequency bins in NREM sleep revealed a significant main effect of genotype at 13 Hz (F(1,51) = 4.592, p = 0.037; Fig. 4A,B). Correspondingly, the mean peak frequency of sleep spindles was significantly lower in these subjects (two-tailed unpaired t test: p = 0.001; Fig. 4C). In addition, the NREMS spectrum of A/G carriers displayed a higher number of beta frequencies at 25–26 Hz (two-way mixed ANOVA: genotype: F(1,51) ≥ 4.614, p ≤ 0.036; Fig. 4A,B). REM sleep parameters or characteristics of SWS did not differ between genotypes (Table 3).

Figure 4.

Figure 4.

Heterozygosity alters sleep parameters in humans. A, EEG power spectra (log-transformed) during NREMS between homozygous (A/A) and heterozygous (A/G) healthy participants. EEG power density in the heterozygous genotype was significantly higher in the 13, 25, and 26 Hz bins (two-way mixed ANOVA with the between-subject factor genotype and the within-subject factor derivation for F3A2, C3A2, P3A2, and O1A2; *p < 0.05). B, The genotype effect on power density was most prominent in parietal EEG derivation (P3A2) in the 13 Hz bin. C, The 13 Hz frequency in human EEG overlaps with sleep spindles activity, whose frequency usually varies between 12 and 15 Hz. Heterozygous A/G carriers showed a significantly lower mean peak frequency of all sleep spindles detected in parietal (P3A2) EEG derivation within NREMS (two-tailed unpaired t test, **p = 0.001).

hP2X7R mice respond to chronic stress

The reduced sleep quality observed in mice, and to a milder degree also present in humans, led us to hypothesize that it might reflect signs of a presymptomatic disease stage or indicate an increased vulnerability of heterozygote individuals to the development of symptoms of mood disorders. In general, the disease risk is determined by the interaction of a genetic predisposition with environmental factors such as chronic stress or severe trauma. To test this hypothesis, we subjected hP2X7R mice to 3 weeks of CSDS. In accordance with previous studies (Wagner et al., 2011; Wang et al., 2011; Hartmann et al., 2012a,b; Gassen et al., 2014), hP2X7R mice showed robust physiological and neuroendocrine changes evoked by CSDS. These included the following: fur quality decrease (RM ANOVA: time: F(3,116) = 84.9, p < 0.001; time × stress: F(3,116) = 63.9, p < 0.001; time × genotype: F(6,234) = 0.74, p = 0.62; time × genotype × stress: F(6,234) = 1.1, p = 0.39; stress: F(1,118) = 190.8, p < 0.001; genotype: F(2,118) = 0.53, p = 0.59; genotype × stress: F(2,118) = 0.11, p = 0.68; n = 20–23; Fig. 5A), thymus atrophy (two-way ANOVA: stress: F(1,122) = 26.14, p < 0.001; genotype: F(2,122) = 0.39, p = 0.68; genotype × stress: F(2,122) = 0.59, p = 0.56; n = 20–23; Fig. 5B), adrenal gland enlargement (two-way ANOVA: stress: F(1,119) = 65.88, p < 0.0001; genotype: F(2,119) = 0.12, p = 0.89; genotype × stress: F(2,119) = 1.0, p = 0.37; n = 20–23; Fig. 5C) as well as sensitization of the hypothalamic–pituitary–adrenal axis to a novel stressor (two-way ANOVA: stress: F(1,43) = 20.05, p < 0.0001; genotype: F(2,43) = 0.19, p = 0.83; genotype × stress: F(2,43) = 1.16, p = 0.32; n = 8–10; Fig. 5D). We did not detect significant genotype effects in any of the assessed parameters, indicating that the CSDS paradigm evoked similar strong effects in all three genotypes.

Figure 5.

Figure 5.

CSDS induces robust physiological and neuroendocrine changes independent of genotype. A, CSDS led to a decrease in fur quality from day 4 onward, depicted by an increase in the fur state index. B, Thymus weights were significantly reduced in stressed animals compared with their littermate controls. C, An increase in relative adrenal weights was observed in all mice subjected to CSDS. D, CSDS led to an enhanced corticosterone response following a forced swim test. Data are expressed as the mean ± SEM. *p < 0.05.

We then performed a wide range of behavioral tests to assess the consequences of CSDS on core endophenotypes related to mood disorders. Again, we observed no alterations in any behavioral readout in nonstressed control groups. In line with previous studies, chronically stressed hP2RX7 mice showed decreased locomotion in the OF test compared with unstressed mice (RM ANOVA: time: F(2,50) = 3.25, p = 0.05; time × stress: F(2,50) = 1.45, p = 0.24; time × genotype: F(4,102) = 1.36, p = 0.25; time × genotype × stress: F(4,102) = 1.45, p = 0.23; stress: F(1,51) = 10.48, p < 0.005; genotype: F(2,51) = 0.52, p = 0.6; genotype × stress: F(2,51) = 0.29, p = 0.75; n = 20–23). Although stressed P2rx7hHET mice appeared to show an increase in locomotion (two-way ANOVA: stress: F(1,49) = 5.05, p = 0.029; genotype: F(2,49) = 2.37, p = 0.10; genotype × stress: F(2,49) = 0.86, p = 0.42; n = 9–10) accompanied by decreased immobility (two-way ANOVA: stress: F(1,49) = 12.34, p < 0.001; genotype: F(2,49) = 2.57, p = 0.09; genotype × stress: F(2,49) = 0.39, p = 0.67; n = 9–10) during the first 5 min of the OF test, this did not reach statistical significance (Fig. 6A–C). In the EPM, all three genotypes displayed a similar increase in anxiety-related behavior following CSDS (two-way ANOVA: stress: F(1,117) = 5.29, p = 0.023; genotype: F(2,117) = 1.0, p = 0.37; genotype × stress: F(2,117) = 0.44, p = 0.64; n = 19–23; Fig. 6D). Given that impairments in social behavior are reminiscent of various psychiatric clinical conditions including mood disorders (Nestler and Hyman, 2010), we also conducted the social avoidance test. Although two-way ANOVA revealed only a main significant effect of stress, P2rx7hHET and P2rx7hQ460R mice spent less time in close proximity to the social target compared with P2rx7hWT mice (two-way ANOVA: stress: F(1,61) = 14.16, p < 0.001; genotype: F(2,61) = 1.9, p = 0.16; genotype × stress: F(2,61) = 0.65, p = 0.52; n = 11–13; Fig. 6E). However, a significant stress effect was also observed during the empty wire cage trial of the social avoidance test, implying increased anxiety-related behavior in the animals even in the absence of a novel social counterpart (two-way ANOVA: stress: F(1,61) = 8.94, p = 0.004; genotype: F(2,61) = 2.48, p = 0.09; genotype × stress: F(2,61) = 0.25, p = 0.78; n = 11–13; Fig. 6F). We also applied the FUST to assess anhedonia but found no statistically significantly differences between genotypes following CSDS (two-way ANOVA: stress: F(1,59) = 7.42, p = 0.008; genotype: F(2,59) = 1.46, p = 0.24; genotype × stress: F(2,59) = 0.47, p = 0.63;; n = 10–12; Fig. 6G). CSDS had no effect on sniffing behavior when water was used as a control (Fig. 6H). Together, the analyses of hP2RX7 mice do not provide sufficient evidence that the hP2X7R-WT/hP2X7R-Gln460Arg heterozygosity conveys an increased vulnerability to develop mood disorder-related endophenotypes in adult mice in response to chronic social defeat stress.

Figure 6.

Figure 6.

CSDS induces robust behavioral deficits in hP2RX7 mice. A, B, CSDS induced an overall decrease in locomotion in hP2X7R mice in the OF when assessed for the entire test duration (15 min; A) as well as in the initial 5 min (B). C, Accordingly, immobility in the OF was significantly increased during the first 5 min of the OF test. D, hP2RX7 mice showed an enhanced anxiety response to CSDS in the elevated plus maze. E, CSDS evoked a decreased interaction time with the social target in hP2RX7 mice during the social avoidance paradigm. F, However, hP2RX7 mice also spent significantly less time interacting with the empty wire cage during the first trial of the social avoidance task. G, During the female urine sniffing test, a decrease in time spent sniffing estrus female urine was observed in all stressed hP2RX7 animals compared with nonstressed controls. H, No significant genotype and/or condition differences were detectable in the water trial of the female urine sniffing test. Data are expressed as the mean ± SEM. *p < 0.05.

Discussion

Modeling human genetic findings in the mouse

In recent years, considerable efforts have led to the identification of genetic variants associated with psychiatric disorders (Collins and Sullivan, 2013). However, most discoveries lack experimental validation in an appropriate genetic animal model owing to the fact that the vast majority of disease-associated SNPs are of unknown function and are not conserved between humans and rodents. In contrast, nonsynonymous or regulatory SNPs that directly impact amino acid sequence or gene function are exceptionally rare (Chen et al., 2006).

In the case of the P2X7R, we took advantage of the fact that the disease-associated Gln460Arg polymorphism enables us to readily model the genetic association in mice and thereby address its immediate function in vivo. The relevance of P2X7R in vivo with regard to phenotypes related to mood disorders has so far been investigated using only constitutive P2X7R KO mice (Solle et al., 2001; Basso et al., 2009; Boucher et al., 2011; Csölle et al., 2013). However, the direct translation of these findings is difficult considering that human genetic studies associated a polymorphism leading to an amino acid substitution with mood disorders but not a null allele (Barden et al., 2006; Lucae et al., 2006; Hejjas et al., 2009; McQuillin et al., 2009; Soronen et al., 2011). To interrogate the P2X7R-Gln460Arg polymorphism in vivo, we generated humanized mice by substituting the murine P2X7R with the human P2X7R variants. We confirmed in hP2RX7 mice previous reports demonstrating that the P2X7R-Gln460Arg variant itself is not significantly impaired in its function compared with the WT P2X7R (Roger et al., 2010). However, the coexpression of the mood disorder-associated P2X7R-Gln460Arg variant with WT P2X7R caused a significant reduction in normal receptor function, which was reflected by an attenuated calcium response of primary hippocampal cells derived from heterozygous hP2RX7 mice. This is in line with a recent study (Aprile-Garcia et al., 2016) using stably transfected HEK293 cells coexpressing both P2X7R variants, which also showed a reduced calcium uptake. Despite the significantly altered P2X7R function in heterozygous hP2RX7 mice, no significant genotype-dependent behavioral alterations were detected under basal housing conditions.

Heterozygosity affects sleep

It has been shown that P2X7R expression is under circadian control and is increased following sleep deprivation in humans (Backlund et al., 2012). Moreover, P2X7R directly modulates the action of somnogenic cytokines including IL-1β and tumor necrosis factor α, which are recognized as endogenous sleep regulatory substances (SRSs; Krueger et al., 2010). Here we observed that hP2X7R mice displayed normal nocturnal sleep–wake behavior. However, heterozygous hP2X7R mice showed overt alterations in their sleep architecture compared with homozygous littermates. Comparable impairments of sleep, including an increased proportion of REMS and reduced slow-wave activity during NREMS, are often seen in patients with mood disorders (Modell and Lauer, 2007; Germain and Kupfer, 2008). Sleep-EEG recordings in healthy human subjects, genotyped for rs2230912, revealed NREMS instability and alterations in NREMS morphology in heterozygous carriers. In particular, heterozygous A/G carriers showed a lower mean peak frequency of all sleep spindles in both slow-wave sleep and stage 2 sleep. In view of the relevance of changes in either the number or the oscillation frequency of sleep spindles in several neuropsychiatric diseases and brain function in general (Ferrarelli et al., 2007; Lopez et al., 2010; Christensen et al., 2015; Nishida et al., 2016; Pótári et al., 2017), the observed slowing of spindle frequency may indicate a subtle but sensitive sleep alteration. The prominent role of P2X7R in cytokine release suggests that low EEG power seen in heterozygous hP2RX7 mice might result from interference with SRSs. Moreover, the fact that changes in immune mediators such as proinflammatory cytokines are repeatedly observed in patients with mood disorders further supports a potential role of P2X7R in disease etiology (Kronfol and Remick, 2000; Stokes et al., 2015). Together, heterozygous hP2X7R mice showed depression-like changes in both NREMS and REMS, whereas in healthy human A/G carriers subtle sleep changes were restricted to NREMS. These findings might hint toward early disease symptoms or signs of a prodromal state, which have the potential to convey increased vulnerability to the development of disease (Perlis et al., 1997).

Gene × environment interactions

There is ample evidence that individual disease vulnerability is not purely genetically determined (Caspi and Moffitt, 2006) but is strongly linked to environmental factors such as stress. Sustained or chronic stress and a maladaptive stress response in combination with a genetic predisposition are able to trigger the precipitation of mood disorders, which are consequently often regarded as stress-related disorders (de Kloet et al., 2005). To test whether heterozygosity might predispose to disease development, we subjected hP2X7R mice to the widely used and repeatedly validated CSDS paradigm (Berton et al., 2006; Hartmann et al., 2012a). Chronic stress can have a major impact on the behavioral phenotype of animals, often resulting in diminished locomotor activity and higher anxiety-related behavior (Berton et al., 2006; Hartmann et al., 2012a). Accordingly, all genotypes of hP2X7R mice showed reduced locomotion in the 15 min OF test and increased anxiety in the EPM. Moreover, stressed hP2X7R mice showed a clearly increased social avoidance as well as signs of anhedonia. Even though heterozygous hP2X7R mice displayed the strongest effect of CSDS, two-way analyses of variants did not reveal statistically significant interaction effects in any of the behavioral tests. These behavioral paradigms assessed the cardinal symptoms of mood disorders, including locomotion, and anxiety-related, social, and anhedonic behavior (Nestler and Hyman, 2010). However, further studies evaluating different aspects of cognition, anhedonia (sucrose-preference), and anxiety (e.g., fear memory and learned helplessness) in conjunction with other chronic stress paradigms will further refine the contribution of P2RX7 polymorphisms in mood disorders. Nevertheless, together with the observed sleep alterations, we believe that our results provide important and relevant biological evidence that heterozygosity for wild-type P2X7R mice and the P2X7R-Q460R variant represents a genetic risk factor for mood disorders.

A heterozygote disadvantage model

To the best of our knowledge, the P2X7R is the first example suggesting a heterozygote disadvantage model for the association of a candidate SNP with psychiatric disorders (Lucae et al., 2006). It would be interesting to investigate this model in a meta-analysis similar to the recent study by Feng et al. (2014). Coexpression and interaction of P2X7R subunits, either with splice or polymorphic variants, may represent a general mechanism for the regulation of P2X7R activity and other ion channels. However, this mechanism appears unique as it has not been described for any of the numerous other P2X7R variants. A first hint of an underlying mechanism involving interaction with the P2X7R-WT emerges from a naturally occurring truncated variant of P2X7R, which is ineffective when expressed alone but is able to hetero-oligomerize with P2X7R-WT, thereby blocking P2X7R activity (Feng et al., 2006). Similarly, C-terminally truncated variants of P2X7R, escaping inactivation in KO mice (Solle et al., 2001) and variants bearing mutations in the extracellular domain have been reported to act in a dominant-negative fashion (Raouf et al., 2004; Masin et al., 2012).

Of note, P2X7 excels compared with all other P2X family members with respect to the frequency of nonsynonymous SNPs, which might to some extent reflect evolutionary adaptation related to the role of P2X7R in modulating innate immune function (Sluyter and Stokes, 2011; Wiley et al., 2011). Nevertheless, further structural insights are required to mechanistically understand the functional consequences of the coexpression of hP2X7R-WT with hP2X7R-Gln460Arg and its implication in mood disorders.

Conclusions

In conclusion, the herein reported results involving studies in human participants and respective mouse models suggest that heterozygosity for P2X7R-WT and P2X7R-Gln460Arg genetically predisposes to enhanced stress vulnerability. This is causally linked to the coexpression of P2X7R-WT and P2X7R-Gln460Arg variants, which results in a significant reduction of normal P2X7R function. Our findings suggest that the alterations in P2X7R function in heterozygote mice convey disturbances in mechanisms of sleep regulation. These findings together with the subtle changes in NREMS parameters in heterozygous human subjects have the potential to open up potential novel diagnostic and therapeutic avenues. Taking into account that sleep–EEG alterations are robust predictors of an emergent depressive episode and may even precede the full-blown clinical syndrome (Steiger and Kimura, 2010), our results suggest that observed changes in sleep variables in combination with a heterozygous rs2230912 genotype could represent a predictor or biomarker for the risk of mood disorders. Our study provides strong evidence for a heterozygote disadvantage model, which adds a new perspective to the current knowledge of functional mechanisms underlying genetic findings in complex diseases.

Footnotes

This work was partially supported by the German Federal Ministry of Education and Research, within the framework of the e:Med research and funding concept (IntegraMent: Grant FKZ 01ZX1314H), the Marie Skłodowska-Curie innovative training network PurinesDX, and by the program supporting scientific and technological cooperation between Germany and Argentina (Grant FKZ 01DN16028). We thank Adrianne Tasdemir, Susanne Weidemann, Sabrina Bauer, Cornelia Flachskamm, Marcel Schieven, and Stefanie Unkmeir for excellent technical support; and Judit Oldekamp for assisting targeting vector generation. We also thank Jessica Keverne for professional English editing, formatting, and scientific input.

The authors declare no competing financial interests.

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