Mouse Model for Protein Tyrosine Phosphatase D (PTPRD) Associations with Restless Leg Syndrome or Willis-Ekbom Disease and Addiction: Reduced Expression Alters Locomotion, Sleep Behaviors and Cocaine-Conditioned Place Preference
- 8 Downloads
The receptor type protein tyrosine phosphatase D (PTPRD) gene encodes a cell adhesion molecule likely to influence development and connections of addiction-, locomotion- and sleep-related brain circuits in which it is expressed. The PTPRD gene harbors genome-wide association signals in studies of restless leg syndrome (Willis-Ekbom disease (WED)/restless leg syndrome (RLS); p < 10−8) and addiction-related phenotypes (clusters of nearby single nucleotide polymorphisms (SNPs) with 10−2 > p > 10−8 associations in several reports). We now report work that seeks (a) association between PTPRD genotypes and expression of its mRNA in postmortem human brains and (b) RLS-related, addiction-related and comparison behavioral phenotypes in hetero- and homozygous PTPRD knockout mice. We identify associations between PTPRD SNPs and levels of PTPRD mRNA in human brain samples that support validity of mouse models with altered PTPRD expression. Knockouts display less behaviorally defined sleep at the end of their active periods. Heterozygotes move more despite motor weakness/impersistence. Heterozygotes display shifted dose-response relationships for cocaine reward. They display greater preference for places paired with 5 mg/kg cocaine and less preference for places paired with 10 or 20 mg/kg. The combined data provide support for roles for common, level-of-expression PTPRD variation in locomotor, sleep and drug reward phenotypes relevant to RLS and addiction. Taken together, mouse and human results identify PTPRD as a novel therapeutic target for RLS and addiction phenotypes.
The gene that encodes the receptor type protein tyrosine phosphatase D (PTPRD) displays neurobiological features that make its variants attractive candidates to play roles in sleep, locomotor control and addiction. PTPRD encodes a single transmembrane domain protein whose expression is likely to alter the nature of connections between expressing neurons. Ventral midbrain neurons implicated in reward, locomotor control and sleep processes, likely dopaminergic, prominently express PTPRD, as do other neurons likely to use acetylcholine, norepinephrine, γ-aminobutyric acid (GABA) and glutamate as neurotransmitters (1). PTPRD can function as a homodimer (2) or may heterodimerize with partners that include the SLITRK3 leucine-rich repeat-containing cell adhesion molecule (3). PTPRD/SLITRK3 interactions are linked to organization and strength of GABAergic synapses (4,5). Although not yet documented, similar influences on the function of dopaminergic, cholinergic and other neurons that express PTPRD also appear likely.
PTPRD has been identified by associations that reach genome-wide (p < 10−8) significance in studies of vulnerability to the common sensorimotor/sleep disorder restless leg syndrome (RLS) or Willis-Ekbom disease (WED) (6). There are associations with intronic single-nucleotide polymorphisms (SNPs) rs1975197 and/or rs4626664 (7,8). PTPRD has also been identified in several genome-wide association studies of addiction-related phenotypes that include extensive use of an addictive substance, vulnerability to develop dependence on an addictive substance and ability to quit smoking. The individually modest addiction association signals come from clusters of nearby SNPs with 10−2 > p > 10−8 associations that fail to survive conservative Bonferroni corrections (9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19).
These neurobiologic, genetic and genomic data nominate PTPRD for studies that seek (a) influences of common human allelic variation on PTPRD expression, (b) influences of variation in PTPRD expression on behavioral sleep and locomotor phenotypes that model features of RLS and (c) influences of variation in PTPRD expression on responses to rewarding addictive substances. We now report studies of PTPRD expression in human postmortem cerebral cortical samples. These studies identify associations between levels of PTPRD expression and PTPRD genomic markers that include the RLS/addiction-associated SNPs rs1975197 and rs4626664 as well as rs2381970. We discuss locomotor and sleep-related behavioral findings in PTPRD knockouts and the low likelihood that they represent only artifacts of the homozygotes’ overall disabilities. In studies of drug reward, we use cocaine-conditioned place preference (CPP), a heavily validated mouse test for drug reward/reinforcement (20). Heterozygous knockouts display altered dose-dependent relationships for cocaine CPP, while failing to display potentially confounding alterations in performance on other tests. We note recently reported associations between PTPRD locus variation and differences in human psychostimulant and alcohol effects that enhance our confidence that PTPRD variation, and thus the neuronal properties and connections that PTPRD modulates, plays bona fide roles in addiction- and RLS-related phenotypes.
Materials and Methods
Influences of PTPRD Haplotypes on Levels of Expression
Genetic cis influences on levels of PTPRD expression were sought in studies of PTPRD messenger ribonucleic acid (mRNA) and deoxyribonucleic acid (DNA) in rapidly frozen autopsy samples of frontal cortex of European American individuals who died without brain disease. We focused on this genetic background and this brain region, since this focus allowed us to assemble a large group of brain samples not possible using material from other brain regions or individuals with different racial/ethnic backgrounds. Causes of death were accidents/multiple trauma, cardiovascular disease and pulmonary embolisms (Supplementary Table S1). Average time to freezing was 14 h. Brains came from individuals who were 50.5% female and averaged age 42 years under protocols overseen by the Johns Hopkins (19% of samples) and University of Maryland (81% of samples) institutional review boards.
RNAs were prepared with the RNeasy lipid tissue mini-kits (Qiagen), with controls for mRNA quality based on intake ribosomal RNA bands on agarose gel electrophoresis and OD260/280 ratios (data not shown). Complementary DNA (cDNA) was synthesized with SuperScript III first-strand synthesis supermix (Invitrogen), and levels of mRNAs were assessed by quantitative reverse transcriptase-polymerase chain reaction (RT-PCR) using SybrGreen master mix (Applied Biosystems) and oligonucleotides PRPRD_EXON5F: GCAAGCAGTT CCTGGCCCGT, PRPRD_EXON6R: GGCACATTCTGCTGTGGTCTCAGG, PRPRD_EXON11F: CGTCTGGTGAACACCCGTGGGA, and PRPRD_EXON12R: GGAGCCGCAGCGAGTCTGTC that targeted the dominant long PTPRD mRNA isoform 1 (21) and the reference genes glyceraldehyde-3-phosphate dehydrogenase (GAPDH), hypoxanthine phosphoribosyltransferase 1 (HPRT1) and ubiquitin C (UBC), according to the manufacturer’s protocols (sequences available from authors on request). DNA was extracted from brain samples by using Qiagen kits (22) and was subjected to multiplexed genotyping using Sequenom panels (oligonucleotide sequences available on request). Each PCR contained 1 µL genomic DNA (2.5 ng/µL), 0.4 µL deoxynucleotide triphosphate (dNTP) mix (10 mmol/L), 0.5 µL AmpliTaq Gold PCR buffer (10×), 0.3 µL MgCl2 (1.5 mmol/L), 0.2 µL each of forward and reverse primer (20 µmol/L each), 0.025 µL AmpliTaq Gold DNA polymerase (0.025 U/µL) (Applied Biosystems) and 2.38 µL double-distilled water (ddH2O). Thermal cycles were (a) 10 min at 95°C; (b) 35 cycles of 30 s at 94°C, 30 s at 58°C and 45 s at 72°C; and (c) a final 3 min at 72°C extension followed by 4°C. Unincorporated dNTPs were removed by 20-min 37°C incubation with shrimp alkaline phosphatase, enzymes were inactivated by 5-min incubation at 85°C and primer extension was performed with 0.2 µL of the appropriate combination of dNTP, dideoxynucleotide triphosphate (ddNTP) (2.25 mmol/L), 0.054 µL extension primer (100 µmol/L), 0.018 thermosequenase (32 U/µL) and 1.7 µL ddH2O. Thermal cycles were (a) 94°C for 2 min; (b) 40 cycles of 5 s at 94°C, 5 s at 52°C and 5 s at 72°C; and (c) 4°C. Reactions were purified with SpectroClean resin (Sequenom), spotted in matrix on Sequenom arrays and subjected to MALDI-TOF mass spectrographic analyses with automatic allele detection and manual allele confirmation. A total of 34 SNPs with minor allele frequencies >0.05 were used for analyses. Expression and genotyping were successful in samples from 119 brains (Supplementary Table S1).
PTPRD homozygous knockout, heterozygous knockout and littermate wild-type animals were produced by heterozygote × heterozygote matings, genotyped and fed with food placed on the cage floors as described (23, 24, 25). Mice of both sexes were tested at 118 ± 49 d of age. All breeding, care and experimentation was approved by the NIDA-IRP Animal Care and Use Committee.
Mouse Behavioral Studies: Motor and Cocaine Effects and Learning
Motor: muscle strength/motor persistence test. Mice were timed for their ability to hold on to a wire screen (5-mm hardware cloth) mounted parallel about 20 cm above the countertop. The test was terminated at 120 s, or when the mouse fell.
Motor: coordination and learning. Coordination and learning were measured on an accelerating rotarod (a rotating cylinder on which the mice had to walk and maintain their balance to prevent falling). The animals were tested over 3 consecutive days with one test per day. The starting speed of the rotating cylinder was 4 rpm, and it gradually increased to 40 rpm over 5 min, which was the cutoff time.
Motor: behaviors at the sleep-onset period. These behaviors were evaluated by two independent observers blinded to genotype using videos taken in for the hour before and the hour after lights off for mice of each genotype. Mice were placed in a two-chambered 37 × 20 × 20 cm clear Plexiglas box 12 h before data collection to allow acclimation. One food pellet and one igloo were placed on the floor of each chamber; a water bottle with 10 mL water was taped to each side of the box. Video of the mice (Noldus wvbp-332) recorded at 0600–0800 (1 h with lights off and 1 h with lights on) was scored by two independent observers blinded to the genotypes and sexes of the mice. Times of sleep onset and wake were recorded. A period of wakefulness was defined as movement ≥3 s in length. A period of sleep was defined as ≥5 s without movement. “Twitches” and “non-twitch movements” during sleep periods were also recorded. “Twitches” were defined as sudden, rapid movements of the paws or entire body during sleep. “Non-twitch movements” were slower actions <3 s in length. Data were organized into 10-min intervals, and total numbers of sleep episodes per interval were recorded as “sleep bouts.” A period of sleep overlapping from one 10-min interval to the next was counted as two bouts, one in each interval.
Cocaine effects: reward and CPP. Reward and CPP were assessed (26,27). Briefly, side preferences were assessed, four 20-min conditioning trials were conducted (two cocaine, two saline) and preferences were assessed again 24 h after the last conditioning session. Differences between times spent on the drug-paired side during the post- versus pretests were noted.
Cocaine effects: locomotion. Locomotion was recorded (a) during the 20-min pretest (in both halves of the 20 × 40-cm conditioning apparatus), conditioning (20 × 20-cm half of the apparatus) and test (20 × 40 cm) sessions and (b) in 42 × 42-cm sound-attenuated boxes to which the mice had not been previously exposed, for 120-min trials. Total distance traveled by mice that were untreated, saline treated and sampled before treatment, after one treatment and after the second treatment with cocaine was calculated from infrared beam breaks by an Optovarimax ATS System (27).
Memory and learning. Memory and learning were evaluated in Morris water maze testing (28). A black 90-cm-diameter pool filled with opaque 22°C water contained a 9-cm platform in the center of one quadrant that was visible for the first six trials and hidden 0.5 cm below the surface for subsequent trials. Mice received two trials, each lasting a maximum of 60 s, separated by a 15-s rest period on the platform. They were returned to home cages for 4 h and then subjected to an additional two-trial session. After acquisition, defined by an average latency to reach the platform of <10 s, the platform was removed and a 60-s probe trial was conducted. Probe trial data including the path of the subject in the pool and the time spent in each quadrant was analyzed with Ethovision software (Noldus). After probe trials, the platform was placed in the opposite quadrant to assess reversal learning by using the same procedure.
Analyses of mouse data used PASW statistics 18 (SPSS) and t tests (Excel). Analyses of variance and covariance (ANOVA and ANCOVA) used between-subject factors of genotype and sex, age as cofactors, and within-subjects factors where appropriate, including time for locomotion and trial day for Morris water maze. Analyses of human association data and assessment of correlations between genotypes at nearby SNPs used PLINK (https://doi.org/pngu.mgh.harvard.edu/∼purcell/plink). Normalized gene expression levels found in human major allele homozygotes versus heterozygotes were compared by using t tests. Bonferroni corrections were performed (29) with observed 0.4 correlations (r) between SNPs.
All supplementary materials are available online at https://doi.org/www.molmed.org .
Searches for cis Influences on Levels of PTPRD Expression
Locomotion during baseline exposures to the CPP apparatus. Mice were exposed to the CPP apparatus and allowed to explore both sides freely during each of two pretests (Figures 3A, B). ANCOVA of data from all the subjects submitted to the CPP test (n = 135) revealed highly significant effects of genotype on locomotion during both the first (p = 1.46 × 10−6) and second (p = 5.92 × 10−5) exposures to this environment. Scheffé post hoc analysis showed that homozygous knockouts demonstrated significantly greater locomotion (p = 0.001), although heterozygotes did not differ from their wild-type siblings (p = 0.262). There was no significant effect of sex (p = 0.486) or genotype × sex interaction (p = 0.689) during the first tests.
Locomotion during the first 20-min conditioning session. Locomotion during this time was assessed while mice were confined to 20 × 20 cm portions of the conditioned place preference boxes after receiving their first saline or cocaine injections (Figure 3C). ANCOVA of data from mice of all genotypes yielded significant differences between genotypes cocaine doses (p = 6.6 × 10−16) and a trend toward significance for genotype × dose interaction (p = 0.071). Scheffé post hoc testing confirmed that homozygous knockout mice displayed significantly greater locomotion after administration of all cocaine doses tested (p = 1.15 × 10−6).
Locomotion and habituation in a larger novel environment. Homozygous knockout mice also displayed numerically greater locomotion when assessed for 2 h in the novel, 42 × 42 cm novel apparatus during their diurnal inactive phases (Figure 3E). There was p = 0.038 nominal significance when data from homozygotes were compared with combined data from wild-type and heterozygous littermates. ANCOVA with age as a covariate found a significant effect of sex (p = 0.033). However, neither genotype (p = 0.115) nor genotype × sex interaction (p = 0.409) provided a significant influence.
When the mice were observed to be asleep, the frequencies of twitch-like and slower movements did not differ significantly between mice of different genotypes (ANOVA, p = 0.15 and p = 0.37, respectively). However, differences in total length of sleep resulted in fewer total sleep-associated twitches and fewer slow limb movements in mice with reduced PTPRD expression (data not shown).
One way to document these differences in dose-response relationships for CPP in heterozygous PTPRD knockout mice is to compare the times spent on the sides paired with 5 versus 10 mg/kg cocaine doses (compared to baseline values) in wild-type versus heterozygotes. A total of 10 mg/kg produced almost 2.5-fold greater place preference in wild-type mice than in heterozygotes (p = 9.2 × 10−5; t test). By contrast, 5 mg/kg produced about one-third less place preference in wild-type mice than in heterozygotes, a difference at the margin of statistical significance (p = 0.054, t test). Heterozygotes thus displayed apparent leftward shifts in the inverted U dose-response relationships typically noted for cocaine reward and reinforcement.
Locomotor sensitization. Locomotor sensitization was sought by comparing locomotion during the second versus first cocaine-conditioning sessions (Figure 3D). Significant differences between locomotion during the two sessions (repeated-measures ANCOVA, p = 0.0005) were affected by cocaine dose (session × dose, p = 0.0002) and by genotype (genotype × session × dose, p = 0.048). Scheffé post hoc analyses (p = 7.15 × 10−6) document highly significant differences between wild-type and homozygotes and no significant differences for heterozygote/wild-type comparisons (p = 0.988).
Memory: Morris water maze. To provide a control for the possibility that the effects of reducing PTPRD expression on CPP might be confounded by widespread memory differences, we assessed the performance of these mice in the Morris water maze (28). Repeated-measures ANOVA showed that genotype influenced time taken to learn the location of the platform (Figure 5; genotype × day, p = 0.005) and time spent searching for the platform near its former location during probe trials (Figure 5C; effect of genotype, p = 0.006). There were significant effects of genotype on swimming speed (p = 0.003), but not on latencies to reach the target quadrant (p = 0.414). Scheffé post hoc analyses revealed that virtually all these differences were due to deficits in the homozygote knockouts. Homozygotes learned and swam more slowly (p < 0.001 and p = 0.021, respectively). During probe trials they searched further from the prior platform location, spending more time in the wrong quadrants (p = 0.027 and p < 0.001) as previously reported (25). On the other hand, heterozygous mice displayed no differences from wild-type mice in any Morris water maze parameter studied (p = 0.694 for learning curve, p = 0.996 for distance from platform, p = 0.476 for time in quadrant and p = 0.830 for swimming speed).
These data enhance our understanding of common human PTPRD allelic variation. They provide a mouse model for ways in which this variation can alter RLS and addiction-associated phenotypes. The data allow speculation about the paths through which PTPRD variation might influence RLS/WED and addiction vulnerability.
PTPRD SNPs (including rs1975197, rs4626664 and/or rs2381970) are associated with (a) differing levels of PTPRD mRNA expression in human brain samples, (b) RLS diagnoses and (c) addiction-related phenotypes. The relatively 5′ localization of these SNPs in the PTPRD gene is consistent with the 5′ localization of many, but not all, of the PTPRD association signals for RLS and addiction phenotypes. The >70% differences in levels of PTPRD mRNA identified in humans with different common PTPRD haplotypes suggest that we should consider data from both heterozygous and homozygous PTPRD knockout mice for which relative PTPRD expression levels bracket these common human interindividual differences. The contrastingly low frequencies of PTPRD missense variants identified in database searches (data not shown) and the locations of these missense SNPs in more 3′ PTPRD regions add support to the idea that variation in levels of PTPRD expression provides a major molecular source of common functional human individual PTPRD variation that contributes to RLS and addiction phenotypes. It will be interesting for future studies to test associations among rs2381970 alleles, RLS and other phenotypes that have displayed overall associations with PTPRD. Other brain regions that include cortex, caudate, thalamus, hippocampus, cerebellum and hypothalamus also display evidence for PTPRD mRNA expression (31,32). It will be interesting for future studies to seek influences of these haplotypes on expression in these brain regions.
The phases of associations of level-of-expression PTPRD SNPs with phenotypes of interest are also instructive. The rs4626664 and rs1975197 minor alleles that display association with RLS are associated with lower levels of expression of PTPRD mRNA. Results for rs2381970 support the same phase of association (for example, lower levels of expression of PTPRD mRNA are associated with the addiction risk allele; Supplementary Table S2 and Supplementary Figure S1) from the most positive studies of addiction. Available rs2381970 genotypes have allowed us to test association with substance dependence in (a) two samples for which there was nominally significant association (p = 0.007 for African American alcohol dependent vs. control and 0.026 for European American poly-substance dependent vs. control [13,16]), (b) two samples in which there were trends toward significance (p = 0.08 for African American polysubstance dependent vs. control and 0.06 for European alcohol dependent vs. control [13,33]) and (c) a single sample without association or trend toward association (European American alcohol dependent vs. control ). rs2381970 has also been genotyped in ways that allow assessment of its association with ability to quit smoking in (a) two samples with nominally significant association (p = 0.018 and 0.048) (14,18) and (b) two other samples without such association (10,19). Taken together, these data support use of mice with reduced PTPRD expression as models for common human PTPRD risk alleles of relevance for both RLS and addiction phenotypes.
Uetani et al. (25) constructed the PTPRD knockout mice studied here and characterized features of homozygous knockouts that include difficulties with feeding and with spatial learning/memory, but reported no data from heterozygotes. On the basis of human associations with addiction phenotypes, it is interesting that heterozygotes display significant differences in CPP. It is also interesting that these differences display specificity. Heterozygotes fail to display deficits in tests of memory or locomotion that would provide confounding explanations for altered CPP. There is no evidence that heterozygous knockout alters the conditioned locomotion that can be exerted by cocaine during conditioned place preference testing. There is no enhanced lethality or other physiological alteration noted with the lifelong reductions in PTPRD expression found in heterozygotes.
We would have more caution in interpreting motor and sleep-related results from homozygous knockout mice if these mice displayed less locomotion and more sleep. However, the enhanced locomotion and reduced sleep actually observed in the homozygous knockout mice seem unlikely to be due to confounding influences.
The current results add to data that validate the behavioral assessments used here. While most existing validation of conditioned place preference as a model for human addiction comes from pharmacological experiments (20), the current concordant mouse/human data add to genetic validation of this test (34,35). The current data also support assessment of locomotor activity as modeling features of the motor restlessness found in human RLS, as does data from pharmacologic, iron modulation, brain lesion and other knockouts (6,36). Studies of behaviorally defined sleep, as reported here, also provide striking findings in knockout of the RLS risk gene BTBD9 (36). Future work will be necessary to provide electroencephalographic support for the PTPRD findings. Nevertheless, assessments of sleep/wake patterns in the times before and after the onset of the lights on period in mice now provide an increasingly validated model for some of the RLS/WED sleep disturbances. Conceivably, the longer duration of sleep bouts found in the PTPRD knockouts might even reflect the increased sleep “pressure” that might accompany and provide a marker for sleep deficits in these mice.
PTPRD variant associations with RLS/WED and addiction vulnerability, phenotypes that are not documented to co-occur at greater than chance rates, raises interesting questions about nosology of complex and likely heterogeneous disorders with substantial genetic and environmental determinants. Conceivably, careful epidemiological studies will yet identify currently unappreciated comorbidity. If PTPRD variation provides an oligogenic influence on RLS vulnerability and a polygenic influence on addiction vulnerability, however, we might not expect epidemiologically discernable comorbidity to arise from variation in this single gene. Shared variation in many genes might be required to cause observable clinical comorbidity. Nevertheless, studies of the brain variation that comes from PTPRD variation may well reveal a pattern of brain pathway change that is shared between addiction and RLS, aiding understanding of shared pathophysiological elements that are likely to predispose to each of these common disorders.
PTPRD variation, implicated in RLS, in addiction and in rewarding and/or aversive responses to stimulants and alcohol by human molecular genetic studies, thus provides a pattern of altered behaviors in a mouse model that accords remarkably with human data for these phenotypes. The present results support the important roles that detailed patterns of neuronal connections (37), including those modulated by PTPRD, are likely to play in addiction and other complex brain phenotypes. These data add to support for PTPRD as a candidate druggable target for therapies for RLS and/or addictions (38).
The authors declare that they have no competing interests as defined by Molecular Medicine, or other interests that might be perceived to influence the results and discussion reported in this paper.
This work was supported by the NIH-IRP, NIDA, U.S. Department of Health and Human Services (HHS) (GR Uhl) and by New Mexico VA Health Care System (NMVAHCS) (GR Uhl). We are grateful for help from C Johnson, D Arking, D Naimen, J Bader and J Schroder; for access to brain samples from the University of Maryland Brain Tissue Bank; and for access to data for PTPRD from A Hart and A Palmer. All human and/or animal studies were approved by the appropriate institutional committees.
- 29.Brambilla F. (1938) Statistica metodologica e calcolo delle probabilità (a proposito di recenti studi del prof. Bonferroni). Giornale degli Economisti e Rivista di Statistica. 78(Anno 53):398–415.Google Scholar
- 31.Pontius JU, Wagner L, Schuler GD. (2003) UniGene: a Unified View of the Transcriptome [Internet]. In: The NCBI Handbook. McEntyre J, Ostell J (eds.). (2002-) National Center for Biotechnology Information, Bethesda (MD). Available from: https://doi.org/www.ncbi.nlm.nih.gov/books/NBK21101/?report=readerGoogle Scholar
Open Access This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, and provide a link to the Creative Commons license. You do not have permission under this license to share adapted material derived from this article or parts of it.
The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder.
To view a copy of this license, visit (https://doi.org/creativecommons.org/licenses/by-nc-nd/4.0/)