Significance
Elevated expression of the presynaptic protein α-synuclein underlies familial and sporadic Parkinson disease (PD). However, our understanding of how increases in α-synuclein levels drive the sequence of events leading to PD is incomplete. Here, we apply a multidisciplinary longitudinal analysis to a new α-synuclein transgenic mouse model. We show that early-stage decreases in dopamine release and vesicle reclustering precede late-stage changes in neuronal firing properties, measured by in vivo recordings from vulnerable neurons. Accumulated deficits in dopamine neurotransmission and altered neuronal firing are associated with cell death and motor abnormalities, in the absence of protein aggregation in the substantia nigra. These findings have important implications for developing therapies.
Keywords: dopamine transmission, in vivo electrophysiology, voltammetry, neurodegeneration, behavioral phenotyping
Abstract
The pathological end-state of Parkinson disease is well described from postmortem tissue, but there remains a pressing need to define early functional changes to susceptible neurons and circuits. In particular, mechanisms underlying the vulnerability of the dopamine neurons of the substantia nigra pars compacta (SNc) and the importance of protein aggregation in driving the disease process remain to be determined. To better understand the sequence of events occurring in familial and sporadic Parkinson disease, we generated bacterial artificial chromosome transgenic mice (SNCA-OVX) that express wild-type α-synuclein from the complete human SNCA locus at disease-relevant levels and display a transgene expression profile that recapitulates that of endogenous α-synuclein. SNCA-OVX mice display age-dependent loss of nigrostriatal dopamine neurons and motor impairments characteristic of Parkinson disease. This phenotype is preceded by early deficits in dopamine release from terminals in the dorsal, but not ventral, striatum. Such neurotransmission deficits are not seen at either noradrenergic or serotoninergic terminals. Dopamine release deficits are associated with an altered distribution of vesicles in dopaminergic axons in the dorsal striatum. Aged SNCA-OVX mice exhibit reduced firing of SNc dopamine neurons in vivo measured by juxtacellular recording of neurochemically identified neurons. These progressive changes in vulnerable SNc neurons were observed independently of overt protein aggregation, suggesting neurophysiological changes precede, and are not driven by, aggregate formation. This longitudinal phenotyping strategy in SNCA-OVX mice thus provides insights into the region-specific neuronal disturbances preceding and accompanying Parkinson disease.
The development of new disease-modifying therapies for Parkinson disease (PD) is critically dependent on animal models that accurately recapitulate pathophysiological sequelae in an age-dependent manner. The generation of such models using genetically altered animals has proved challenging. The traditional use of heterologous gene promoters in the generation of transgenic mouse models precluded an endogenous transgene expression profile and produced additional phenotypes that are not characteristic of PD (1). In contrast, bacterial artificial chromosome (BAC) technology can enable expression of a desired transgene under the control of its native promoter and regulatory elements to achieve a correct spatiotemporal expression profile, thereby providing a more physiological model for investigating molecular mechanisms of the disease.
The α-synuclein gene (SNCA) has been implicated in PD through three dominant point mutations (2–4) and locus multiplication (5, 6). SNCA duplications and triplications cause autosomal-dominant PD in which the age of onset and disease severity are related in a gene dosage-dependent manner (5, 6). More recently, genome-wide association studies (GWASs) have demonstrated a link between common SNCA variants and sporadic forms of PD, with disease-associated polymorphisms proposed to increase α-synuclein (α-syn) expression either by increasing transcription or stabilizing mRNA (7–9). Although α-syn aggregation into cytoplasmic Lewy bodies is seen in human PD patient postmortem tissue, it is not known whether neurophysiological dysfunction and cell death precede the formation of aggregates.
To better understand the mechanisms by which elevated α-syn leads to the progressive neuronal dysfunction seen in PD, we have generated BAC transgenic mice (SNCA-OVX) that express human wild-type α-syn at twice the endogenous level of mouse α-syn. Using a longitudinal “deep phenotyping” strategy in these SNCA-OVX mice, in vitro and in vivo, we find disturbances to midbrain dopamine neuron function at discrete phases that precede and/or accompany PD-like loss of dopamine neurons and motor deficits. Specifically, dopamine transmission and vesicular organization are compromised selectively in dorsal striatum before a subsequent loss of dopamine neurons, abnormal firing in remaining dopamine neurons in vivo, and movement deficits. These findings thus provide key insights into the progression of events in PD.
Results
Molecular Characterization of SNCA-OVX Mice.
We generated SNCA transgenic mice using a BAC construct carrying the complete 111-kb wild-type human SNCA locus (Fig. S1A). Two mouse lines were generated: SNCA-OVX, which overexpresses human α-syn to levels that model those associated with SNCA multiplications (10), and hα-syn, which expresses human α-syn at a low/moderate level as a control for expression of human α-syn. Both lines were bred to a mouse α-syn-null (Snca−/−) pure C57/Bl6 background (11) to preclude confounding interactions with endogenous α-syn. Complete transgene integration was confirmed by exon PCR amplification of all six human SNCA exons (Fig. S1B). For SNCA-OVX mice, a single site of integration was identified by fluorescence in situ hybridization analysis near the centromere of chromosome 4 and, for hα-syn mice, a single site near the telomere of chromosome 2 (Fig. S1C).
Double immunofluorescence labeling for tyrosine hydroxylase (TH) and α-syn revealed transgene expression in TH-immunoreactive dopamine neurons in the substantia nigra pars compacta (SNc) (Fig. 1A) and ventral tegmental area (VTA) (Fig. 1B) of SNCA-OVX and hα-syn (but not Snca−/−) mice. Transgene expression was also found to recapitulate the regional expression pattern of endogenous mouse α-syn in other brain regions including cortex, hippocampus, and striatum (Fig. S1E). Human α-syn levels in the striatum of SNCA-OVX mice were 1.9-fold higher relative to the levels of endogenous mouse α-syn in age-matched C57/Bl6 animals (Fig. 1C). We observed no change in β-synuclein or γ-synuclein levels in SNCA-OVX mice (Fig. S1D).
Soluble high-molecular-weight α-syn species were observed in the midbrain of SNCA-OVX mice at both 3 and 18 mo of age, but not in hα-syn mice, as assessed by native PAGE (Fig. S2A). The absence of soluble high-molecular-weight species in hα-syn mice was confirmed by loading increasing amounts of protein, such that the levels of α-syn in the samples were comparable, without the appearance of the smear of higher-molecular-weight species being seen. In addition, it was confirmed that these soluble species were similar to those observed in PD, by comparison with SNc tissue from a PD patient. A C-terminal truncated form of α-syn was observed at low levels in the midbrain of 18-mo-old SNCA-OVX mice, as demonstrated by Western blotting with an antibody raised against the central portion (aa 18–123) of α-syn followed by reprobing with an antibody raised against the C terminus (aa 118–123) of α-syn (Fig. S2B). This truncation generated a fragment comparable in size to that observed in the SNc of a PD patient but was not observed in hα-syn mice or in any of the samples probed with the C-terminal antibody. No evidence of α-syn phosphorylation at S129 was observed in any of the mice strains using a number of commercial S129P antibodies (Fig. S2C).
We looked for the presence of pathological α-syn aggregates in the SNCA-OVX line at 18 mo of age. Proteinase K treatment, which enhances the immunoreactivity of “abnormal” α-syn (i.e., that in intracytoplasmic aggregates) and also diminishes that of diffuse physiological expression (12), abolished the immunoreactivity of α-syn in the SNc (Fig. 1D) and striatum (Fig. S3A) of aged SNCA-OVX mice. Similarly, thioflavine S, which detects the β-sheet–rich amyloid and p62, a common constituent in several types of disease-associated inclusions, revealed no pathological protein aggregations in the SNc of SNCA-OVX mice (Fig. S3B). No qualitative differences in astrogliosis or microglial activation were detected between SNCA-OVX mice and Snca−/− controls, as analyzed by immunohistochemistry using antibodies against GFAP and Iba-1, respectively (Fig. S3B). Hyperphosphorylated tau (AT8) and β-amyloid (4G8) staining was negative in all animals (Fig. S3B).
Aged SNCA-OVX Animals Lose Nigrostriatal Dopamine Neurons.
To assess whether progressive degeneration of SNc dopamine neurons, a cardinal pathological feature of PD, occurs as a consequence of overexpressing α-syn, an unbiased stereological count of TH-immunoreactive neurons was performed in the SNc of 3- and 18-mo-old mice. It is already known that Snca−/− mice display a small decrease in dopamine neurons (13, 14); therefore, to evaluate the effects of increased levels of α-syn we compared the number of dopamine neurons in SNCA-OVX to those in hα-syn mice. In young adults (3 mo), no difference was found in the number of TH-immunoreactive neurons between genotypes (Fig. 1 E and G). However, in aged mice (18 mo), SNCA-OVX animals displayed a 30% reduction in TH-immunoreactive neurons in the SNc compared with the hα-syn mice (Fig. 1 F and H). At 18 mo of age, SNCA-OVX animals also displayed a 22% reduction in hematoxylin-counterstained neurons in the SNc compared with the hα-syn mice (Fig. S4B), whereas no difference in hematoxylin-stained cells was observed at 3 mo of age (Fig. S4A), confirming that the loss of TH-immunoreactive neurons in aged SNCA-OVX mice was not due to a down-regulation of TH expression. The loss of SNc dopamine neurons in aged SNCA-OVX mice was observed in the absence of overt aggregation pathology in the SNc and striatum, suggesting α-syn aggregation is not required for neuronal death in the SNc.
SNCA-OVX Mice Display Early Nonmotor and Late Motor Phenotypes.
SNCA-OVX and control mice were analyzed for nonmotor phenotypes that reflect early symptoms of PD. We assessed gastrointestinal function and revealed an increased dry stool weight in male SNCA-OVX mice that was independent of age (Fig. 2A). This increase in dry stool weight was not accompanied by an increased stool frequency or stool water content (Fig. S5 A and B), indicating a constipation-like phenotype that was seen in male, but not female, SNCA-OVX mice.
We next assessed motor function using the accelerating rotarod, multiple static rods, and the forepaw stride length tests. On the rotarod test, the latency of aged (18 mo) but not young (3 mo) SNCA-OVX mice to fall was significantly reduced compared with hα-syn and Snca−/− controls (Fig. 2B). SNCA-OVX animals at 18 mo of age were also impaired on the multiple static rods test (Fig. 2 C–E and Movies S1 and S2) compared with age-matched controls. SNCA-OVX mice also displayed a reduced forepaw stride length compared with littermate control Snca−/− mice (Fig. 2F). SNCA-OVX mice did not display differences in latency to fall in the inverted screen test compared with age-matched hα-syn and Snca−/− controls, indicating that poor performance in the rotarod and multiple static rods tests was due to impaired motor coordination rather than muscle weakness (Fig. S5C).
Early and Sustained Deficits in Dopamine Transmission in the Dorsal Striatum of SNCA-OVX Mice.
Having established a mouse model that displays an age-dependent Parkinsonian phenotype, we sought to investigate what changes might precede or accompany the phenotypic alterations. In PD, the nigrostriatal dopamine neurons projecting from the SNc to the dorsal striatum [caudate putamen (CPu)], are preferentially affected compared with mesolimbic dopamine neurons projecting from the VTA to the ventral striatum [nucleus accumbens (NAc)]. Expression of the α-syn transgene was confirmed in both the CPu and NAc of SNCA-OVX transgenic mice (Fig. S6 A and B). To investigate region- and age-dependent changes in dopamine transmission in SNCA-OVX mice, we used fast-scan cyclic voltammetry (FCV) at carbon-fiber microelectrodes, which detects dopamine release and reuptake in real time. In the dorsal striatum, mean peak extracellular concentrations of dopamine ([dopamine]o) evoked by single electrical pulses across distributed recording sites were, on average, ∼30% lower in SNCA-OVX mice than in littermate Snca−/− controls (Fig. 3 A–C, left traces). This reduced release was present from a young age (3–4 mo) before the loss of dopamine neurons (Fig. 1H) and persisted throughout the lifespan of adult mice (tested at 3–4, 12, and 18 mo). The greatest deficits were found in dorsal and lateral recording sites (Fig. 3G). In contrast, in the ventral striatum no significant difference in evoked [dopamine]o was detected between the two genotypes at any time point (Fig. 3 A–C, right traces).
In young and aged hα-syn mice, mean peak [dopamine]o evoked by single pulses in CPu or NAc was not significantly different from that in Snca−/− littermates (Fig. 3 H and I), suggesting that the deficit in evoked [dopamine]o in SNCA-OVX mice was a consequence of the elevated levels of human α-syn rather than its expression per se. Dopamine content of CPu or NAc assessed by HPLC was not significantly different between hα-syn and Snca−/− mice at either 3 or 18 mo (Fig. 3 J and K). Because no phenotypic changes were detected in hα-syn mice compared with Snca−/− mice, our subsequent analyses focused on comparing SNCA-OVX transgenic mice with their littermate control Snca−/− mice.
Lower levels of evoked [dopamine]o in dorsal striatum of SNCA-OVX compared with Snca−/− mice were not due to reduced striatal dopamine content: HPLC analysis showed net dopamine content was unchanged in CPu or NAc in SNCA-OVX compared with Snca−/− mice at 3–4 and 12 mo (Fig. 3 D and E), whereas at 18 mo dopamine content in CPu (but not NAc) was, paradoxically, greater in SNCA-OVX mice compared with Snca−/− controls, and unaltered in NAc (Fig. 3F). Furthermore, apparent deficits in dopamine release in dorsal CPu of either young or aged adult SNCA-OVX mice were not due to diminished [dopamine]o that might result from enhanced dopamine uptake, because dopamine uptake kinetics were normal (Fig. S6C). No change in the level of dopamine transporter protein was observed (Fig. S6D). In addition, we excluded a role for striatal ACh input to dopamine axons from cholinergic interneurons, which play a key role in driving dopamine release probability (15): A dopamine release deficit persisted in the presence of nicotinic receptor blockade by dihydro-β-erythroidine (Fig. S6 E and F). There were also no detectable changes in the net dependence on extracellular Ca2+ (Fig. S6G).
No Change in SNARE Complex Formation but Changes in Dopamine Vesicle Distribution.
We next sought to understand the underlying molecular, neuroanatomical, and neurophysiological changes in the SNc that may lead to progressive neuronal loss in the SNCA-OVX model of PD. The reduction in evoked [dopamine]o seen before loss of dopamine neurons or dopamine content suggests a reduction in the releasability of dopamine. However, we found no differences in SNARE complex formation in the striatum of 6-mo-old SNCA-OVX mice compared with age-matched controls (Fig. S7 A and B) or any changes in the striatal protein levels of SNAP25, VAMP2, complexins, or synapsins (Fig. S7 C–G). These results are consistent with previous finding that striatal SNARE complex formation in striatum is not regulated by synucleins (16).
We next explored the alternative hypothesis that α-syn might restrict dopamine release by altering the distribution of the vesicular pool in dopamine axons in the dorsal striatum (17). We used electron microscopy to analyze the structure of TH-immunoreactive synaptic and nonsynaptic axonal profiles in the CPu of 3-mo-old SNCA-OVX and Snca−/− mice. The mean cross-sectional area of profiles, the number and density of vesicles per profile, and the distance of vesicles to the plasma membrane were similar in both genotypes (Table S1). When a synapse was present, there were also no differences in the synaptic membrane length or distance of vesicles to the active zone. However, vesicles in SNCA-OVX mice were more clustered than those in Snca−/− mice; the frequency distribution of intervesicle distance was significantly different between genotypes (P < 0.0001; two-sample Kolmogorov–Smirnov test; Fig. 4), and vesicles were three times less dispersed in SNCA-OVX mice (index of dispersion DSNCA-OVX/DSnca−/− = 0.34).
Monoamine Neurotransmission Deficit Does Not Extend to Norepinephrine or 5-Hydroxytryptamine.
To determine whether the deficit in dopamine release in the dorsal striatum of SNCA-OVX mice is seen for other amines elsewhere, we investigated the release of norepinephrine (NE) and 5-hydroxytryptamine (5-HT) from axon terminals in innervation-rich areas, the bed nucleus of the stria terminalis (BNST) and substantia nigra pars reticulata (SNr), respectively. We confirmed transgene expression in the cell soma regions, the locus coeruleus and the dorsal raphe nucleus, in SNCA-OVX mice by immunohistochemistry (Fig. S8). Mean peak extracellular concentrations of NE ([NE]o) in the ventromedial portion of the BNST (Fig. 5 A and B) evoked by stimulus trains of 30 pulses at 10, 25, 50, and 100 Hz in SNCA-OVX mice were not different from those in Snca−/− mice irrespective of age (3 or 18 mo; Fig. 5 C–F). Similarly, mean peak extracellular concentrations of 5-HT ([5-HT]o) in SNr (Fig. 5 G and H) evoked by stimulus trains of 20 or 40 pulses at 50 Hz in SNCA-OVX mice were not different from those in Snca−/− mice at either young (3 mo, Fig. 5 I and J) or old age (18 mo, Fig. 5 K and L). These data show that α-syn overexpression does not affect the axonal release of 5-HT or NE, further suggesting that the neurotransmission deficit in SNCA-OVX mice is highly selective for cell type and brain circuit.
SNc Dopamine Neurons in SNCA-OVX Mice Exhibit Age-Dependent Reductions in Firing Rates in Vivo.
To gain further insight into the pathophysiological sequelae of α-syn overexpression in midbrain dopamine systems, we tested for changes in the action potential firing properties of SNc dopamine neurons in vivo. We made extracellular recordings from individual SNc neurons in young and aged (3–4 and 18–22 mo) anesthetized SNCA-OVX mice and their Snca−/− littermates (Fig. 6). After recording, we juxtacellularly labeled each neuron with Neurobiotin (18) to confirm its dopamine phenotype (TH immunoreactivity) and location in SNc, as well as test for their expression of α-syn (Fig. 6 A and C; all recorded dopamine neurons (n = 43) from SNCA-OVX mice expressed the α-syn transgene). In young SNCA-OVX and Snca−/− mice, the firing rates and action potential durations of SNc dopamine neurons were similar (Fig. 6E). Moreover, neurons in both genotypes exhibited similar coefficients of variation (a measure of regularity of firing) and propensities to fire in a “regular,” “irregular,” or “bursty” pattern (Fig. 6G and SI Materials and Methods). Thus, in young adult animals at least, α-syn overexpression does not alter these key firing properties of SNc dopamine neurons. However, for SNc dopamine neurons recorded in the aged SNCA-OVX and Snca−/− mice (Fig. 6 B and D), we found a significant reduction (nearly 30%) in the firing rate, but no change in the firing patterns, of dopamine neurons in SNCA-OVX mice (Fig. 6 F and H). Taken together, these data show that overexpression of human α-syn does not compromise key firing properties of SNc dopamine neurons in young adulthood but significantly reduces the firing rates of these neurons in old age.
Discussion
Here, we describe the generation and longitudinal deep-phenotyping of a unique transgenic model of PD and identify the sequence of disease mechanisms triggered by overexpression of α-syn to levels associated with both familial and sporadic human disease. Using transgenic SNCA-OVX mice, we have localized early and selective deficits in dopamine neurotransmission to the nigrostriatal pathway. This early-onset phenotype is followed in aged animals by a pathology of loss of dopamine neurons, reduced SNc dopamine neuron firing rates, and motor impairments. Furthermore, this constellation of Parkinsonian phenotypes caused by elevated α-syn is not dependent on overt protein aggregation but is associated with soluble high-molecular-weight α-syn species observed at 3 and 18 mo of age in SNCA-OVX mice.
Our use of BAC transgenesis to overexpress human wild-type α-syn from the complete human genomic DNA locus driven by the endogenous promoter helped ensure correct spatiotemporal regulation of expression, reflecting endogenous α-syn expression. Overexpression of α-syn is a likely mechanism underlying both rare familial PD, caused by SNCA duplications and triplications (5, 6), and sporadic PD (19). PD-associated variants at the SNCA locus, identified by GWAS, are proposed to enhance expression by either increasing SNCA transcription or enhancing mRNA stability (9). The SNCA-OVX mouse therefore acts as a model of both familial and sporadic PD. The SNCA-OVX line expresses the SNCA transgene at 1.9-fold the levels of endogenous mouse α-syn; this near-doubling mirrors the change in human α-syn levels that result from a triplication of the SNCA locus in familial PD (10). Elevated levels of α-syn have previously also been demonstrated in sporadic cases of PD in which remaining dopamine midbrain neurons from patients with sporadic disease show up to a sixfold increase in α-syn mRNA levels (19).
Our study is unique in defining the effect of disease-relevant α-syn overexpression on neurotransmission and vesicle organization in the dopamine pathways most vulnerable in PD. We find an early and sustained deficit in neurotransmission specific to dopamine (rather than the other monoamines, NE and 5-HT). Furthermore, this deficit was localized to the dopamine inputs to dorsal striatum. These findings are reminiscent of our previous work on α-and γ-synuclein double-knockout and α-, β-, γ-synuclein triple-knockout mice, in which we showed that synucleins negatively regulate dopamine release in the dorsal but not ventral striatum (16, 20).
At time points before 18 mo of age, we observed no change in striatal dopamine content, despite a decrease in release. This is consistent with a redistribution, rather than a reduction, of dopamine at release sites. In support of this, we identified increased clustering of vesicles in dopamine terminals in the dorsal striatum of SNCA-OVX animals at 3 mo.
Whether the in vivo firing properties of SNc dopamine neurons change before protein aggregation and/or cell death has been a critical, unaddressed issue in PD. We show here that the activity of neurochemically identified SNc dopamine neurons is altered in an age- and genotype-dependent manner. Because midbrain dopamine neurons collectively innervate all basal ganglia nuclei (21), any change in their firing rate or pattern is likely to profoundly disturb the activity of the whole basal ganglia network; it is these disturbances that ultimately underlie the motor symptoms of PD. We found that the spontaneous firing rates of SNc dopamine neurons were reduced by nearly 30% in aged animals overexpressing α-syn. This decrease in spontaneous firing rates, together with dopamine neuron loss and a sustained deficit in striatal dopamine release, may collectively tip the balance toward a greatly reduced dopamine output that can no longer be compensated for, thus resulting in motor impairments in aged animals. It is not clear whether the reduced firing rates of dopamine neurons are a response to alterations in either their inputs or intrinsic properties, or whether this change is, in itself, pathogenic.
The age-related, progressive loss of nigrostriatal dopamine neurons and the presence of α-syn–containing Lewy bodies are the cardinal features of PD pathology. However, the precise relationship between α-syn pathology and dopamine neuron dysfunction and death has been unclear. We show here that dopamine neuronal dysfunction and neuronal death in SNCA-OVX mice occurs in the absence of overt protein aggregation pathology in the SNc and striatum but is associated with the presence of soluble high-molecular -weight α-syn species.
In conclusion, we report here a unique transgenic model of PD that exhibits early-onset circuit-specific deficits in dopamine neurotransmission followed subsequently by alterations in neuronal firing properties, a motor phenotype and neuron loss in the absence of overt protein aggregation pathology in the SNc and striatum. We therefore propose that PD-related phenotypes are not driven by progressive protein aggregation, but are associated with much earlier deficits in dopamine neurotransmission. Moreover, movement deficits might emerge when, on a foundation of sustained neurotransmission defects, some dopamine neurons die whereas those remaining decrease their firing. The SNCA-OVX mice allow us to advance our understanding of the cellular basis of changes to dopamine and non-dopamine neurotransmission in brain regions that differ in disease susceptibility and provide a model to test next-generation therapies.
Materials and Methods
Generation of Transgenic Mice.
Transgenic mouse lines were generated by injection of BAC DNA containing the human wild-type SNCA locus into C57/Bl6 mouse pronuclei (Charles River). Transgene integrity and expression levels were analyzed (SI Materials and Methods) and two lines were chosen and back-crossed onto an α-syn-null (Snca−/−) pure C57/Bl6 background (11) for nine generations to establish two transgenic lines, SNCA-OVX and hα-syn. The SNCA transgene was maintained in a hemizygous state on a pure C57/Bl6 background. All procedures were conducted in accordance with the United Kingdom Animals (Scientific Procedures) Act of 1986 and approved by the local ethical review panel at the Department of Physiology, Anatomy and Genetics, University of Oxford.
Immunostaining.
Animals were transcardially perfused with PBS (pH 7.4) followed by 4% paraformaldehyde (PFA) (vol/vol). Brains were postfixed in 4% PFA (vol/vol), cryoprotected in 30% sucrose, and sectioned on a freezing microtome (Leica Microsystems). For immunofluorescence, sections (35 µm) were incubated overnight with primary antibodies against α-syn (1:500; Covance) and TH (1:500; Millipore) and then incubated with goat anti-mouse Alexa 488 and goat anti-rabbit Alexa 594 antibody. For peroxidase immunohistochemistry, sections (50 µm) were incubated with primary antibodies against α-syn (1:1,000; BD Bioscience) or TH (1:2,000; Millipore). Sections were incubated with biotinylated secondary antibody followed by incubation in avidin–biotin–peroxidase complex and staining was visualized using 3,3′-diaminobenzidine (DAB). Sections were counterstained with hematoxylin, dehydrated, and coverslipped using DPX Mountant (Fluka Biochemika).
Western analysis.
Striatal tissue was homogenized in phosphate buffered saline (pH 7.4) containing 1% (vol/vol) Igepal CA-630, 0.1% (vol/vol) SDS, 0.5% (mass/vol) sodium deoxycholate and protease inhibitor cocktail, using a Tissue Tearor (Biospec Products, Inc). Protein content was quantified using a BAC assay kit (Sigma) and proteins were analyzed by Western blotting. See Table S2 for primary antibodies. Bands were visualized using horseradish peroxidase-conjugated goat anti-mouse IgG (Bio-Rad) and the chemiluminescent ECL+ kit (GE Healthcare). Bands were quantified using ImageJ software. Data was analyzed using one-way ANOVA and Bonferroni post hoc analysis using SPSS Statistics 20 (IBM).
Neuropathology.
To detect potential α-syn–related pathology, the mAbs Syn-1 (1:1,000; BD Transduction Labs) against aa 91–99 and LB509 (1:1,000; Invitrogen) against aa115–122 were used. Brains were fixed in 10% formalin (vol/vol), embedded in paraffin, and cut into 6-μm-thick sections, deparaffinized, and rehydrated. Peroxidase activity was eliminated by treatment with 3% H2O2 (mass/vol). Antigen retrieval for Syn-1 involved treatment with formic acid for 15 min, and for LB509 involved either autoclaving (121 °C) for 10 min in citrate buffer or treatment with 20 µg/mL proteinase K (Roche) for 10 min at room temperature. The mouse-on-mouse kit (M.O.M.; Vector Labs) was used to mAb to minimize the background and staining was visualized using DAB (Vector Labs). Thioflavine S staining was carried out as described by Sun et al. (22).
Stereological Cell Count.
The total number of TH-immunoreactive and hematoxylin-counterstained nigral dopamine neurons was estimated with the optical fractionator method of unbiased stereology using the StereoInvestigator software (MicroBrightField). Sections (50 µm) were processed for TH immunoreactivity as described above. Cells were counted under a 40× objective of a Zeiss Imager M2 microscope using a randomly placed counting frame of 50 × 50 µm on a sample grid of 120 × 160 µm. A 22-µm optical dissector with 2-µm upper and lower guard zones was used. The SNc was delineated using a mouse brain atlas (23). Every second section from 2.7 to 3.88 mm posterior to bregma was counted. Data are expressed as mean number of TH-immunoreactive neurons ± SEM and were analyzed using one-way ANOVA and Bonferroni post hoc analysis using SPSS Statistics 20 (IBM).
Behavior.
One-hour stool collection.
Animals (male and female) were placed into separate clean cages and fecal pellets were collected over a 1-h period (1600–1700 hours). Pellets were weighed to obtain wet stool weight, dried overnight at 65 °C, and reweighed to obtain dry stool weight and stool water content (24).
Rotarod.
In the rotarod test, female mice were placed on a rod that accelerated from 4 to 40 rpm over a 5-min period. The length of time which the animals were able to stay on the rotating rod was recorded as latency to fall. Animals were tested three times a day for two consecutive days and performance was averaged for each day (20).
Multiple static rods test.
In the multiple static rods test, two wooden dowels of 22-mm (rod 1) or 9-mm (rod 2) diameter were clamped to a supporting platform 50 cm above a cushioned surface. Female mice were placed at the end of the rod facing away from the platform. The time taken to turn around by 180° to face the platform, time taken to traverse the rod, and the number of foot slips made when traversing the rod were recorded (20).
Forepaw stride length.
In the forepaw stride length test, animals’ forepaws were placed in ink and animals walked across a sheet of paper toward their home cage. The distance between steps on the same side of the body, from the middle toe of the first step to the heel of the second step, was measured and averaged to obtain stride length. Only steps during normal walking (straight line, no stopping) were included in the analysis (24). Male and female animals were tested.
Statistics.
Data analyzed using a parametric one-, two- or three-way ANOVA followed by a Tukey post hoc test are expressed as means ± SEM. Data analyzed using a nonparametric Kruskal–Wallis ANOVA followed by Dunn’s pairwise multiple comparison are expressed as median ± interquartile (IQ) range. Analyses were completed using the SPSS Statistics 21 software (IBM).
FCV.
Mice were killed by cervical dislocation and decapitated. Coronal slices (300 µm) containing the region of interest (striatum, BNST, or SNr) were prepared as described previously (15, 25) in ice-cold Hepes-buffered artificial cerebrospinal fluid (aCSF) saturated with 95% O2/5% CO2. Slices were then maintained in a bicarbonate-buffered aCSF at room temperature before recording. Extracellular dopamine, NE, or 5-HT concentration ([dopamine]o, [NE]o, or [5-HT]o) were monitored using FCV with 7-µm-diameter carbon fiber microelectrodes (tip length 50–100 µm) and a Millar Voltammeter (Julian Millar, Barts and the London School of Medicine and Dentistry, London, UK) as described previously (15, 26, 27). In brief, the scanning voltage was a triangular waveform (−0.7 V to +1.3 V range vs. Ag/AgCl) at a scan rate of 800 V/s and frequency of 8 Hz. Electrodes were calibrated in 0.5–2 µM 5-HT, dopamine, or NE in experimental media. All data are expressed as means ± SEM, and the sample size, n, is the number of observations. The number of animals in each FCV dataset was ≥3. Comparisons for differences in means were assessed by two-way ANOVA and post hoc Bonferroni t test or unpaired t test using GraphPad Prism 4.0 (GraphPad Software).
HPLC with Electrochemical Detection.
Dopamine content was measured by HPLC with electrochemical detection as described previously (16, 20). Following FCV recordings, tissue punches from the dorsal (2 mm in diameter) and ventral striatum (1.2 mm in diameter) from two brain slices per animal were taken and analyzed for dopamine content by HPLC.
Electron Microscopy.
Ultrastructural analyses were performed on 3-mo-old mice. Three SNCA-OVX and three littermate Snca−/− animals were anesthetized and perfuse-fixed with 0.1% glutaraldehyde and 4% PFA (vol/vol) in 0.1 M phosphate buffer. Sagittal vibratome sections (60 μm) were incubated with primary antibody against TH to identify dopamine neurons, followed by a gold-conjugated secondary antibody and silver-intensification of the gold particles (see ref. 28). Sections were subsequently postfixed in 1% osmium tetroxide and mounted on slides in an electron microscopic resin. Samples of dorsolateral striatum were identified, cut from the sections, and reembedded onto resin blocks and serial ultrathin sections (50–70 nm) were collected and stained with lead citrate. For each animal, 50 images of TH-immunoreactive structures were acquired in a systematically randomized manner (150 images per genotype). In addition, TH-immunoreactive structures forming synaptic specializations were randomly acquired (SNCA-OVX = 33; Snca −/− = 29). Digital images of TH-immunoreactive structures and synapses were analyzed using ImageJ and ImageJ plugins PointDensity and PointDensitySyn (16, 29) to measure terminal size, length of synaptic active zone, vesicle number, and distribution. At all stages of tissue processing and ultrastructural analysis the investigators were blinded to animal genotype. Statistical tests were performed using SPSS/PASW Statistics (SPSS) and Matlab (Mathworks).
In Vivo Electrophysiological Recording and Juxtacellular Labeling of Single Neurons.
Experiments were performed in urethane-anesthetized (1.5 g/kg, i.p.) 3- to 4-mo-old mice (five Snca−/− and six SNCA-OVX) and 18- to 22-mo-old mice (five Snca−/− and six SNCA-OVX). Extracellular recordings of single-unit activity in the SNc were made using glass electrodes (10–25 MΩ in situ; tip diameter ∼1.5 μm) containing 0.5 M NaCl solution and Neurobiotin (1.5% wt/vol; Vector Laboratories). An electrocorticogram was also recorded above the frontal cortex (18). Following electrophysiological characterization, single neurons were juxtacellularly labeled with Neurobiotin for post hoc verification of location and neurochemical identity (18). We focused our analysis on single-unit activity recorded during robust slow-wave activity, as quantitatively defined from the simultaneous electrocorticogram recordings. Firing pattern was defined according to one of three modes (regular, bursty, or irregular), as detailed previously (30, 31) and in SI Materials and Methods. Before statistical comparisons, a Shapiro–Wilk test was used to judge whether datasets were normally distributed (P < 0.05 to reject). Statistical comparisons were made using Student t tests or Welch t tests. The prevalence of firing patterns was compared with a Fisher’s exact test.
Supplementary Material
Acknowledgments
We thank J. Alegre-Abarrategui, R. Deacon, K. Jennings, C. Johnson, and E. Pissadaki for their expertise in experimental techniques. We thank E. Volpi (Cytogenetics Core, Wellcome Trust Centre for Human Genetics, Oxford; Wellcome Trust Core Award, Grant 090532/Z/09/Z) for FISH analysis. We thank the animal care and veterinary support staff at Oxford University Biomedical Services. This work was supported by the Monument Trust Discovery Award from Parkinson's UK, Wellcome Trust Research Career Development Fellowship GR073141MA (to R.W.-M.), Medical Research Council (MRC) UK Awards U138164490 and U138197109 (to J.P.B. and P.J.M., respectively), and Wellcome Trust Neuroscience Studentship in Neuroscience GR072324MA (to S.L.S.). M.J.D. holds a Girdlers' New Zealand Health Research Council Fellowship; S.J., D.P., and S.A. hold MRC studentships; P.K. is supported by the Clarendon Fund; and D.M.B. holds a Wellcome Trust Senior Research Fellowship.
Footnotes
The authors declare no conflict of interest.
This article is a PNAS Direct Submission.
This article contains supporting information online at www.pnas.org/lookup/suppl/doi:10.1073/pnas.1309143110/-/DCSupplemental.
References
- 1.Chesselet M-F, Richter F. Modelling of Parkinson’s disease in mice. Lancet Neurol. 2011;10(12):1108–1118. doi: 10.1016/S1474-4422(11)70227-7. [DOI] [PubMed] [Google Scholar]
- 2.Polymeropoulos MH, et al. Mutation in the alpha-synuclein gene identified in families with Parkinson’s disease. Science. 1997;276(5321):2045–2047. doi: 10.1126/science.276.5321.2045. [DOI] [PubMed] [Google Scholar]
- 3.Krüger R, et al. Ala30Pro mutation in the gene encoding alpha-synuclein in Parkinson’s disease. Nat Genet. 1998;18(2):106–108. doi: 10.1038/ng0298-106. [DOI] [PubMed] [Google Scholar]
- 4.Zarranz JJ, et al. The new mutation, E46K, of alpha-synuclein causes Parkinson and Lewy body dementia. Ann Neurol. 2004;55(2):164–173. doi: 10.1002/ana.10795. [DOI] [PubMed] [Google Scholar]
- 5.Chartier-Harlin MC, et al. Alpha-synuclein locus duplication as a cause of familial Parkinson’s disease. Lancet. 2004;364(9440):1167–1169. doi: 10.1016/S0140-6736(04)17103-1. [DOI] [PubMed] [Google Scholar]
- 6.Singleton AB, et al. alpha-Synuclein locus triplication causes Parkinson’s disease. Science. 2003;302(5646):841. doi: 10.1126/science.1090278. [DOI] [PubMed] [Google Scholar]
- 7.Satake W, et al. Genome-wide association study identifies common variants at four loci as genetic risk factors for Parkinson’s disease. Nat Genet. 2009;41(12):1303–1307. doi: 10.1038/ng.485. [DOI] [PubMed] [Google Scholar]
- 8.Simón-Sánchez J, et al. Genome-wide association study reveals genetic risk underlying Parkinson’s disease. Nat Genet. 2009;41(12):1308–1312. doi: 10.1038/ng.487. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Venda LL, Cragg SJ, Buchman VL, Wade-Martins R. α-Synuclein and dopamine at the crossroads of Parkinson’s disease. Trends Neurosci. 2010;33(12):559–568. doi: 10.1016/j.tins.2010.09.004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Miller DW, et al. Alpha-synuclein in blood and brain from familial Parkinson disease with SNCA locus triplication. Neurology. 2004;62(10):1835–1838. doi: 10.1212/01.wnl.0000127517.33208.f4. [DOI] [PubMed] [Google Scholar]
- 11.Abeliovich A, et al. Mice lacking alpha-synuclein display functional deficits in the nigrostriatal dopamine system. Neuron. 2000;25(1):239–252. doi: 10.1016/s0896-6273(00)80886-7. [DOI] [PubMed] [Google Scholar]
- 12.Neumann M, et al. Misfolded proteinase K-resistant hyperphosphorylated alpha-synuclein in aged transgenic mice with locomotor deterioration and in human alpha-synucleinopathies. J Clin Invest. 2002;110(10):1429–1439. doi: 10.1172/JCI15777. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 13.Robertson DC, et al. Developmental loss and resistance to MPTP toxicity of dopaminergic neurones in substantia nigra pars compacta of gamma-synuclein, alpha-synuclein and double alpha/gamma-synuclein null mutant mice. J Neurochem. 2004;89(5):1126–1136. doi: 10.1111/j.1471-4159.2004.02378.x. [DOI] [PubMed] [Google Scholar]
- 14.Al-Wandi A, et al. Absence of alpha-synuclein affects dopamine metabolism and synaptic markers in the striatum of aging mice. Neurobiol Aging. 2010;31(5):796–804. doi: 10.1016/j.neurobiolaging.2008.11.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Threlfell S, et al. Striatal dopamine release is triggered by synchronized activity in cholinergic interneurons. Neuron. 2012;75(1):58–64. doi: 10.1016/j.neuron.2012.04.038. [DOI] [PubMed] [Google Scholar]
- 16.Anwar S, et al. Functional alterations to the nigrostriatal system in mice lacking all three members of the synuclein family. J Neurosci. 2011;31(20):7264–7274. doi: 10.1523/JNEUROSCI.6194-10.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Nemani VM, et al. Increased expression of alpha-synuclein reduces neurotransmitter release by inhibiting synaptic vesicle reclustering after endocytosis. Neuron. 2010;65(1):66–79. doi: 10.1016/j.neuron.2009.12.023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Brown MT, Henny P, Bolam JP, Magill PJ. Activity of neurochemically heterogeneous dopaminergic neurons in the substantia nigra during spontaneous and driven changes in brain state. J Neurosci. 2009;29(9):2915–2925. doi: 10.1523/JNEUROSCI.4423-08.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Gründemann J, Schlaudraff F, Haeckel O, Liss B. Elevated alpha-synuclein mRNA levels in individual UV-laser-microdissected dopaminergic substantia nigra neurons in idiopathic Parkinson’s disease. Nucleic Acids Res. 2008;36(7):e38. doi: 10.1093/nar/gkn084. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Senior SL, et al. Increased striatal dopamine release and hyperdopaminergic-like behaviour in mice lacking both alpha-synuclein and gamma-synuclein. Eur J Neurosci. 2008;27(4):947–957. doi: 10.1111/j.1460-9568.2008.06055.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Smith Y, Kieval JZ. Anatomy of the dopamine system in the basal ganglia. Trends Neurosci. 2000;23(10) Suppl:S28–S33. doi: 10.1016/s1471-1931(00)00023-9. [DOI] [PubMed] [Google Scholar]
- 22. Sun A, Nguyen XV, Bing G (2002) Comparative analysis of an improved thioflavin-s stain, Gallyas silver stain, and immunohistochemistry for neurofibrillary tangle demonstration on the same sections. J Histochem Cytochem 50(4):463–472. [DOI] [PubMed]
- 23. Franklin KBJ, Paxinos G (2007) The Mouse Brain in Stereotaxic Coordinates (Academic, New York), 3rd Ed.
- 24.Taylor TN, et al. Nonmotor symptoms of Parkinson’s disease revealed in an animal model with reduced monoamine storage capacity. J Neurosci. 2009;29(25):8103–8113. doi: 10.1523/JNEUROSCI.1495-09.2009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Threlfell S, et al. Striatal muscarinic receptors promote activity dependence of dopamine transmission via distinct receptor subtypes on cholinergic interneurons in ventral versus dorsal striatum. J Neurosci. 2010;30(9):3398–3408. doi: 10.1523/JNEUROSCI.5620-09.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 26.Jennings KA, Lesch KP, Sharp T, Cragg SJ. Non-linear relationship between 5-HT transporter gene expression and frequency sensitivity of 5-HT signals. J Neurochem. 2010;115(4):965–973. doi: 10.1111/j.1471-4159.2010.07001.x. [DOI] [PubMed] [Google Scholar]
- 27.Threlfell S, et al. Histamine H3 receptors inhibit serotonin release in substantia nigra pars reticulata. J Neurosci. 2004;24(40):8704–8710. doi: 10.1523/JNEUROSCI.2690-04.2004. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28. Moss J, Bolam JP (2008) A dopaminergic axon lattice in the striatum and its relationship with cortical and thalamic terminals. J Neurosci 28(44):11221–11230. [DOI] [PMC free article] [PubMed]
- 29.Larsson M, Broman J. Different basal levels of CaMKII phosphorylated at Thr286/287 at nociceptive and low-threshold primary afferent synapses. Eur J Neurosci. 2005;21(9):2445–2458. doi: 10.1111/j.1460-9568.2005.04081.x. [DOI] [PubMed] [Google Scholar]
- 30.Tepper JM, Martin LP, Anderson DR. GABAA receptor-mediated inhibition of rat substantia nigra dopaminergic neurons by pars reticulata projection neurons. J Neurosci. 1995;15(4):3092–3103. doi: 10.1523/JNEUROSCI.15-04-03092.1995. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Paladini CA, Tepper JM. GABA(A) and GABA(B) antagonists differentially affect the firing pattern of substantia nigra dopaminergic neurons in vivo. Synapse. 1999;32(3):165–176. doi: 10.1002/(SICI)1098-2396(19990601)32:3<165::AID-SYN3>3.0.CO;2-N. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.