Abstract
Background
Parkinson’s disease (PD) is the second most prevalent movement disorder characterized by up to 80% loss of dopamine (DA) neurons and accumulation of Lewy body deposits composed of α-synuclein (α-syn). Accumulation of α-syn is associated with microglial activation, leading to a pro-inflammatory environment linked with the pathogenesis of PD. Along with microglia, CD4 and CD8 T cells are observed in SNpc. The contribution of T-cells to PD development remains unclear with studies demonstrating that they may mediate neurodegeneration or act in a neuroprotective manner.
Methods
Here, we assessed the contribution of T cells to PD neurodegeneration using an adeno-associated virus (AAV) coding human wild-type α-syn or GFP injected into the substantia nigra pars compacta (SNpc) in T cell deficient (athymic nude) and T cell competent (heterozygous) rats. The rats were behaviorally assessed with cylinder test to test paw bias. Following behavior testing, brains were collected and analyzed for markers of dopamine neuron, microglial activation, T cells, and α-syn expression.
Results
Injection of AAV9-α-syn unilaterally into the SN of T cell competent rats resulted in a significant paw bias in comparison to the controls at 60 days post-injection. Conversely, T cell-deficient rats injected with AAV9-α-syn showed no deficit in paw bias. As expected, injected T cell competent rats demonstrated a significant increase in microglial activation (MHCII staining) as well as significant dopaminergic neuron loss. In contrast, the T cell-deficient counterparts did not show a significant increase in microglial activation or significant neuron loss compared to the control animals. We also observed CD4 and CD8 T cells in SNpc following microglial MHCII expression and dopaminergic neuron loss. The time course of T cell entry correlates with upregulation of MHCII and the peak loss of TH+ cells in the SNpc.
Conclusion
These data demonstrate that T cell infiltration and microglial upregulation of MHCII are involved in α-synuclein-mediated DA neuron loss in this rat model of PD.
Keywords: Parkinson’s disease, α-synuclein, T cells, Dopamine, Microglia, Neuroinflammation, Neurodegenerative disorders
Background
Parkinson’s disease (PD) is the second most prevalent neurodegenerative movement disorder affecting about 60,000 people per year in the USA with over 10 million people affected worldwide [1]. PD is characterized by motor symptoms which include tremor, postural instability, slowness of movement, and rigidity. The major hallmark of PD pathogenesis is the loss of dopamine (DA) neurons in the substantia nigra pars compacta (SNpc) resulting in dopamine depletion in the striatum where these dopaminergic neurons project [2–5]. Accumulation of α-synuclein (α-syn) oligomers is also considered one of the underlying reasons for the development and progression of PD irrespective of both familial and sporadic PD [6, 7]. An autosomal dominant familial PD is caused due to a missense mutation in the SNCA gene coding for α-syn. Gene triplication has also been shown to cause PD, indicating that aggregation of α-syn protein is associated with dopaminergic neuron loss [8–10]. Intracellular inclusions of oligomeric α-syn (Lewy body) are accompanied by surveying microglia that shift into a pro-inflammatory and phagocytic state resulting in the release of pro-inflammatory cytokines such as IL-1, IL-6, TNF-α, and CD40 ligand [11–14]. Neuronal loss in SNpc is caused, in part, from persistent inflammation in the brain resulting from pro-inflammatory microglia and dendritic cells. A prolonged pro-inflammatory state may lead to neuronal damage. Although the role of microglia has been extensively studied in various neurodegenerative disorders [11, 12, 15–18], the underlying cause for dopamine neuron loss and aggregation of α-syn in PD is still debated.
Although the relationship between microglia and neuroinflammation is extensively studied, the role of the adaptive immune system in neuroinflammation remains less established. The central nervous system (CNS) had been considered immune restricted due to the blood-brain barrier (BBB) that tightly regulates the entry of T cells, B cells, monocytes, and prevents toxins and other infectious organisms from entering; however, recent reports of the lymphatic system and CNS lymph vessels suggest that communication with the peripheral immune system is not only possible but an active process [19]. During a chronic neuro-inflammatory state, several pro-inflammatory cytokines may increase the expression of cell adhesion molecules on the endothelial cells of the BBB resulting in the migration of the peripheral immune cells to CNS [17, 19]. Post-mortem human PD brains have shown the presence of both CD4+ and CD8+ T cells in the area of damage [20]. However, the role of CD4+ and CD8+ T cells in neuroinflammation is still unclear. Recent reports have shown that infiltrating T cells in the CNS are involved either in neurodegeneration in diseases such as multiple sclerosis [19] or in being neuroprotective in certain Alzheimer’s disease model [21, 22]. In toxin-induced PD models such as MPTP and 6-hydroxy dopamine (6-OHDA), the resultant neural damage was reduced in T cell-deficient mice suggesting an active role for T cells in this process [20]. Also, α-syn injection into MHC II deficient mice did not result in microglial activation and degeneration of DA neurons [23]. This is likely due to the absence of antigen presentation by microglia to T cells. In contrast, Tregs (CD4 + CD25 + Foxp3) are shown to be neuroprotective against α-synuclein following vaccination [18]. Though most of the studies pertaining adaptive immune system and pathogenesis of PD have been done in neurotoxic models of PD such as MPTP, the interplay between T cells, microglia, and α-syn needs to be further explored. Also, the varying role of T cell subtypes and its specific relationship to the innate immune system in CNS being neuroprotective or neurotoxic needs to be investigated in PD pathogenesis.
In our study, we examined the role of microglia and T cells in an AAV-α-syn rat model of PD in T cell-deficient (athymic nude) and T cell competent (heterozygous nude) rats. Our PD model pathologically mimics the disease in the brain by aggregation of α-syn resulting in dopaminergic neuron loss in SNpc [24]. Nude rats (T cell deficient) are athymic, so the resulting T cells are not mature to its specific subtypes. Conversely, heterozygous nude rats have a thymus and are not immunodeficient like nude rats but have a substantially reduced number of CD3+ T cells when compared to F344 rats [25]. We demonstrate that in the absence of T cells, α-syn fails to upregulate MHCII in microglia, and thus there is no subsequent DA neuron loss. Furthermore, our data suggests that T cells are necessary for neurodegeneration in SNpc and that antigen presentation by microglia using MHCII to T cells is a critical step in the neurotoxic process of DA neurons in response to α-syn. Likewise, we observed a progressive loss of dopamine neurons coinciding with a gradual increase in activated microglia expressing MHCII, CD4, and CD8 T cells in SNpc indicating a strong correlation between microglial MHCII expression and infiltration of T cells in SNpc during damage.
Methods
Viral vectors and animal husbandry
All animal experiments were conducted in accordance with the National Institute of Health Guide and Use of Laboratory Animals and were approved by the Institutional Animal Care and Use Committee of the University of South Florida. Three-month-old male nude rats (NIH-Foxn1rnu, Charles River), male heterozygous nude rats (Foxn1rnu/Foxn1+, Charles River), and male Fisher 344 rats were pair-housed in environmentally controlled conditions (12:12 h day: night cycle at 21 ± 1 °C) and they were provided with food and water ad libitum. Ten animals per group were used (nude rats—GFP, α-synuclein; heterozygous nude rats—GFP, α-synuclein). Human wild-type α-synuclein or green fluorescent protein (GFP) expressing recombinant adeno-associated virus serotype 9 was produced with CBA promoter according to the protocol described in Nash et al. [26]. Animals were injected unilaterally in the right substantia nigra (ipsilateral) with 2 μl of the rAAV serotype 9 expressing either human wild-type α-synuclein (~ 1 × 1013 vg/ml) or GFP (~ 0.6 × 1013 vg/ml) at a flow rate of 2.5 μl/min. Convection enhanced delivery (CED) method of delivery was followed for the viral injection [27]. Stereotactic surgery was performed with the following injection coordinates for the delivery of rAAV; lateral: −2.00 mm, anteroposterior: −5.2 mm, and dorsoventral: −8.2 mm from bregma.
Behavioral testing—cylinder test
The forelimb activity of the rats was tested using a cylinder behavioral test. Animals were placed in a cylinder of 24 cm height and 16 cm in diameter. The first twenty-forelimb contacts to the wall of the cylinder were recorded for each animal while rearing. The test was carried out before surgery, 1-month, and 2-month post-surgery by blinded observers. The percentage of left versus right or both paw touches was calculated.
Immuno-histochemical and immunofluorescence analysis
After day 15 (2 weeks), 30 (4 weeks), 45 (6 weeks), and 60 (8 weeks), the rats were anesthetized and transcardially perfused with 0.1 M phosphate-buffered saline at pH 7.2 (PBS) followed by 4% paraformaldehyde (PFA) in PBS. Brain and spleen were removed and fixed in 4% PFA/PBS overnight. They were then transferred to 30% sucrose in PBS for at least 16 h until the brains equilibrated, at which point they were sectioned coronally at 40 μm using cryostat and the sections were stored at −20 °C in a cryoprotectant liquid for further processing. Immunostaining was performed on every sixth free-floating section spanning the substantia nigra of the brain or spleen for each animal. In order to block the endogenous peroxidase activity, the sections were either treated with tris buffered saline with sodium periodate (NaIO4) for tyrosine hydroxylase (TH) staining or 40% methanol/2% H2O2 (hydrogen peroxide) in 0.1 M PBS buffer for NeuN, Iba1, and OX-6 staining for 20 min at room temperature (RT, 60 rpm). For CD4, CD8 T cell, α-syn211, and syn33 staining, the free-floating sections were treated with 1X SSC buffer (Sigma; S6639-1 L) for 40 min at 80 °C followed by incubation with 5% H2O2 for 20 min at RT (60 rpm). The tissue sections were washed with 0.1 M PBS. Followed by washing, the tissues were blocked with a blocking buffer (PBS/0.3% Triton X-100/10% horse serum or goat serum) for 60 min at RT (60 rpm). Tissues were then incubated with primary antibody (mouse anti-TH (1:10000), Immunostar (Cat no: 22941); mouse anti-NeuN (1:1000), Millipore (Cat no: MAB 377B); rabbit anti-rat Iba1 (1:2000), Wako (Cat no: 019-19741); mouse anti-RT1B (OX-6) (1:750), BD Biosciences (Cat no: 554926); mouse anti-CD4 (1:150), BioRad (Cat no: MCA55G); mouse anti-CD8 (1:200), Abcam (Cat no: ab33786 ); mouse anti-α-syn211 (1:10000), Abcam (Cat no: ab80627); rabbit anti human-α-syn33 (1:500), Dr. Rakez Kayed [28]) made in PBS containing 3% horse serum or 3% goat serum (for Iba1, syn33), 0.1% Triton X-100 overnight at 4 °C (60 rpm). The following day, sections were washed of in PBS containing 3% horse serum or 3% goat serum (for Iba1, syn33) and incubated with horse anti-mouse or goat anti-rabbit (for Iba1, syn33) secondary antibody at a concentration of 1:1000 in PBS/Triton X-100/serum solution for 60 min at RT (60 rpm). The secondary antibody was amplified by incubating the tissues with avidin-biotin substrate (ABC kit, Vector Labs (Cat# PK-6100)) for 60 min at RT (60 rpm). As final step, the tissues were developed using 3, 3′—Diaminobenzidine tetra-hydrochloride (DAB (Sigma, Cat no: D4418)) for TH, NeuN, CD4, and CD8 staining and with metal enhancer (nickel, Ni (Sigma, Cat no: D0426)) for OX-6 (MHCII), α-syn211, Iba1, and syn33 staining. Free-floating tissues were then mounted onto a glass slide and dried overnight. The following day, the slides were dehydrated and cover-slipped using DPX mounting medium. For immunofluorescence staining, the tissues were incubated with secondary antibodies, goat-anti-mouse Alexa Fluor 488 (for MHCII; 1:500), and goat anti-rabbit Alexa Fluor 594 (for Iba1; 1:500) for 60 min at RT (60 rpm) and mounted onto slides cover-slipped with hard-set DAPI (Vector Labs). The spleen tissues were stained as a positive control for CD4 and CD8 T cell staining (Supplemental Figure 1).
Cell culture, treatment, and ELISA
Primary microglia were obtained from young (3 months) nude and heterozygous nude rats. Rats were euthanized with CO2 according to the approved IACUC protocol. The rats were perfused with PBS and the brains were dropped in ice-cold 1XHBSS (GIBO, Cat no: 14185-052) w/o Ca++ and Mg++. The brain was dissociated to small pieces using a scalpel or razor blade in a petri dish and then transferred to a 15-ml tube and centrifuged at 200 g for 2 min. The tissue was enzymatically digested using the Miltenyi Biotec’s neural dissociation kit (Cat no: 130-093-231) to obtain a single-cell suspension according to manufacture protocol. Primary microglia were isolated using Miltenyi Biotec’s LS magnetic columns and CD11b (Miltenyi Biotec, Cat no: 130-090-320) magnetic beads. The procedure yielded around 1.9-2.3 × 106 cells with > 95% purity for both nude and heterozygous nude rats [29].
For LPS and TNF-α treatment, a 6-well plate was seeded with 300,000 microglial cells/well. The cells were treated with LPS (1 ng/ml and 10 ng/ml; Thermo Fisher, Cat no: O55:B5) and TNF-α (50 ng/ml and 100 ng/ml; Sigma, Cat no: T5944) in triplicate for each biological replicate at the given concentration 72 h after the cells were isolated and plated. The cells for RNA isolation were collected 3 h post-TNF-α treatment and 6 h post LPS treatment. The media isolated from the LPS-treated cells were used for ELISA testing (TNF-α Duo Set, R&D systems, Cat no: DY510-05) for TNF-α secretion as described by the manufacturer.
RNA isolation and real-time polymerase chain reaction (RT-PCR)
RNA from LPS and TNF-α treated primary microglial cultures were isolated using the Qiagen isolation kit (Cat no: 80004) and performed according to the manufacture’s protocol. The RNA concentrations were measured using Nanodrop. The isolated RNA was converted to cDNA using high capacity RNA to cDNA kit (Applied Biosystems, Cat no: 4387406) and manufacturer protocol was followed. The primers used were TNF-α, IL1β, IL-6 (IDT Primers, ref sequence # NM_012675, NM_031512, and NM_012589) and MHCII (RT1u.D). The MHCII primer was designed for RT1u.D alpha chain mRNA 3′ end (PubMed ID: M15562) with forward and reverse primers as follows: 5′ AGACAGTGTTTCTCCCAAGG 3′; 5′GTGATCCACCTCACAGTCATAG 3′. For the RT-PCR, 1 μl of primer yielding final concentration to 500 nM (TNF-α, IL-6, IL1β, MHCII), 5 μl of SYBR Green master mix (Applied Biosystems, Cat no: A25742), and 10 ng of cDNA were mixed together in a sterile PCR tube. The RT-PCR procedure has four stages: two holding stages for 2 min each at 50 °C followed by 95 °C, cycling stage repeating for 40 cycles at 95 °C for 3 s and 60 °C for 30 s, and the last melting curve stage at 95 °C for 15 s followed by 60 °C for 1 min and again at 95 °C for 15 s (StepOnePlus Real-Time PCR system, ThermoFisher Scientific). The amplification curve and the ΔCT were calculated using the Step One software. Each experimental condition was run in triplicate for each donor rat, and the RNA from each well assayed in duplicate.
Image analysis and quantification
The tissues stained with TH, NeuN, OX-6, Iba1, α-syn33, and α-syn211 were scanned using Zeiss Mirax image scanner. The scanned images were analyzed using NearCYTE image analysis software (nearcyte.org). Using the NearCYTE image analysis software, region of interest (ROI) were imposed onto the images and was selected for the substantia nigra pars compacta (SNpc). The ROI was compared to the threshold intensity setup by an experimenter blind to the treatment groups. The comparison creates a ratio of the population of the staining in each ROI [26]. The neurodegeneration is estimated by comparing the area ratio generated for contralateral and ipsilateral side of each brain slice per animal. Our lab has previously demonstrated that data collected with the NearCYTE software accurately reflects the cell counts using the Stereo investigator software (MBF Bioscience) [26]. The TH + ve cells, α-syn oligomers stained with syn33 antibody, CD4 and CD8 T cells in the SN and spleen were also counted in every 6th section using the optical fractionator method of unbiased stereology utilizing the Stereo Investigator software (MicroBrightField) on a Nikon Eclipse 600 microscope. A grid size of 150 × 150 (for CD4 and CD8)/300 × 300 (for syn33)/140 × 140 (TH) and counting frame of 100 × 100 (syn33, CD4 & CD8)/70 × 70 (TH) [30] was employed for each animal. The ROI was outlined using a 10 × 0.45 objective and the positive cells were counted using a 40 × 0.95 objective. For immunofluorescence staining, the images were taken using the Keyence microscope and the representative images are from a single Z stack plane.
Statistical analysis
All the bar graphs in the figures are represented as mean ± standard error of the mean. Statistical analysis was performed using the GraphPad Prism software. The timepoint interaction and treatment interaction for cylinder test was analyzed using the two-way ANOVA repeated measure with Tukey’s multiple comparison test. The treatment interaction for immunohistochemistry data were analyzed using the two-way ANOVA with Tukey’s multiple comparison test. The CD4 and CD8 T cell staining data was analyzed using the one-way ANOVA with Tukey’s multiple comparison test. The group interactions for RT-PCR data was analyzed using the two-way ANOVA with Sidak’s multiple comparison test. All significant results represented show a p value less than 0.05 unless otherwise mentioned.
Results
T cell deficient rats do not show development of paw bias
In order to understand the functional impact of the synucleinopathy in SNpc, we behaviorally assessed forelimb akinesia by performing the cylinder test on T cell deficient (nude) and T cell competent (heterozygous) rats injected unilaterally with rAAV9 expressing either human wild-type α-syn or GFP at three different time points: before surgery, 30 days (1 month) post-surgery, and 60 days (2 month) post-surgery. The nude and heterozygous nude rats used in this study were from same littermates. The nude rats injected with either AAV9-α-syn or -GFP did not show any paw preference bias at any of these time points. However, the heterozygous nude rats injected with human α-syn showed a preference for ipsilateral paw touches (Two-way ANOVA: F (1.96, 79.15) = 13.31, p < 0.05; Tukey’s multiple comparison, p = 0.0003) at the 60 days (2 month) post-surgery time point as expected in this model (Fig. 1). These results show that absence of T cells protects the rats from the functional impact of synucleinopathy in SNpc at 60 days (2 month) post-injection.
Absence of T cells prevents dopaminergic neuron loss in SNpc
In our previous studies, we have shown that overexpression of human α-syn using AAV9 results in dopaminergic neuronal loss in SNpc of the F344 rats [26, 30, 31]. The nude and heterozygous nude rat brains were immuno-stained for tyrosine hydroxylase (TH) 2 months after injection of AAV9-α-syn (Fig. 2a-d). TH is the rate limiting enzyme that converts tyrosine to L-DOPA (L-3, 4-dihydroxyphenylalanine), a precursor to dopamine and thus a marker of DA neurons. In GFP treated rats there was no difference in TH+ staining between the ipsilateral and contralateral substantia nigra pars compacta (SNpc). In heterozygous nude rats injected with AAV9-α-syn the percent positive area of staining for TH ratioed to the contralateral side showed significant reductions (Two-way ANOVA F (1, 32) = 23.12, p < 0.05; Tukey’s multiple comparison, p = 0.044) (Fig. 2e) when compared to the GFP injected controls [26]. In contrast, nude rats injected with AAV9-α-syn did not show a significant reduction in TH immunostaining. The unbiased stereological cell counts for TH for each treatment group showed the same effect as the NearCYTE area sampling method (Supplemental Figure 2). Additionally, Fischer 344 rats that have a full complement of T cells showed an even larger reduction in TH staining (Two-way ANOVA F (2, 24) = 10.02, p < 0.05; Tukey’ multiple comparison, p = 0.0005) (Fig. 2g) when compared to the nude rats that are deficient in T cells, possibly indicating that there may be a correlative relationship between the number of T cells and dopamine neuron loss in SNpc. Further, we stained for NeuN to determine if loss of TH was accompanied by neuronal loss in the SNpc. Like TH staining, heterozygous nude rats injected with AAV9-α-syn showed significant reduction (unpaired t test, p = 0.0026) in neurons in SNpc when compared to the nude rats injected with AAV9-α-syn (Fig. 2f). These results indicate that T cell competent rats show significant dopamine neuronal loss in SNpc with α-syn expression when compared to the T cell deficient rats, demonstrating that T cells may play a major role in dopamine neuronal loss in SNpc.
Microglial MHCII expression is not increased in T cell deficient rats in the presence of α-synuclein
To further understand the role of microglia in dopaminergic neuron loss, we stained the SNpc for MHCII (OX6 antibody) (Fig. 3a-d, k) and Iba1 (Fig. 3e-f, k). A similar number of Iba-1 microglia are observed in the control GFP-treated nude and heterozygous nude rats (Fig. 3e, g, j). In response to AAV9-α-syn, both nude and heterozygous nude rats show morphological changes where the cell body becomes swollen (Fig. 3f, h) that when quantified shows an increased area of staining compared the GFP-treated rats of the same genotype (Two-way ANNOVA F (1, 34) = 257.8, p < 0.05; Tukey’s multiple comparison test, p < 0.0001) (Fig. 3j). Moreover, when comparing the microglial Iba-1 response to α-syn in the nude versus heterozygous nude rats there was a significantly higher increase in the heterozygous nude rats that may also reflect microgliosis or recruitment of additional microglia (monocytes) to SNpc (Fig. 3f, h, j) (Two-way ANNOVA; Tukey’s multiple comparison, p < 0.0001). Further, we measured upregulation of MHCII by immunostaining (OX-6 antibody). The number of MHCII positive microglia was only increased in heterozygous nude rats injected with AAV9-α-syn when compared to all other groups tested (Two-way ANNOVA F (1, 33) = 13.68, p < 0.05; Tukey’s multiple comparison, p = 0.0001) (Fig. 3a-d, i). Immunofluorescence co-staining with Iba1 and MHCII showed that the cells expressing MHCII in heterozygous nude rats injected with AAV9-αsyn are microglia or monocytes co-expressing Iba1 (Fig. 3k). Although we observed a few cells staining MHCII alone, more than 95% of the cells expressing MHCII co-stained with Iba1. These results indicate that that although microglia in both genotypes respond to the presence of α-synuclein, infiltration of T cells is necessary for microglia to upregulate MHCII leading to dopamine neuron loss in the SNpc.
Equivalent expression of α-synuclein in both nude and heterozygous rats
To ensure that there were no differences in the amount of α-syn expression between groups we stained with anti-α-syn211 (Fig. 4a-d) and syn33 antibody (Fig. 4e-h), both are markers for oligomeric synuclein in the brain. The α-syn211 antibody binds to phosphorylated S129 on human α-syn, an important post translational modification required for the oligomer formation [32]. Our results indicate that both nude and heterozygous nude rats show the same level of α-syn211 staining at 60 days when normalized to TH expression (Fig. 4i). We additionally stained for oligomeric α-syn expression using an antibody (syn33-(29)) that stains for dimers and higher molecular weight aggregates. Our results show equal expression of α-syn oligomers when normalized to the number of DA neurons using both stereology counting and the ROI area of staining methods in both the groups (Fig. 4 j-k). These results further support that dopamine neuronal loss in the SNpc of the heterozygous nude rats is due to the interaction between T cells and microglia to upregulate MHCII and not due to differences in transgene expression.
CD4 and CD8 T cells are present in SNpc with α-synuclein expression
Since microglia upregulate MHCII in heterozygous nude rats injected with AAV9-α-syn, we stained for specific subtypes of T cells in SNpc (Fig. 5a-d). The heterozygous nude rats showed presence of both CD4 and CD8 T cells while the nude rats did not have any T cells present in SNpc with oligomeric α-syn expression (One-way ANNOVA F (3, 14) = 426.6, p < 0.05; Tukey’s multiple comparison, p < 0.0001) (Fig. 5e, f). In a preliminary study, we have shown a significant infiltration of both CD4 and CD8 T cells into the SNpc 30 days post injection in F344 rats (with complete T cell population) injected with AAV9-α-syn when compared with AAV9-GFP injected rats (Supplemental Figure 3A-D). The F344 rats injected with AAV9-α-syn showed a significant increase (One-way ANNOVA F (3, 10) = 120.7, p < 0.05; Tukey’s multiple comparison, p < 0.0001) in the number of CD4 and CD8 positive T cells when compared to the GFP injected controls (Supplemental Figure 3E). These results indicate that T cells infiltrate into SN at a time that coincides with microglial upregulation of MHCII in response to oligomeric α-syn expression, supporting that T cells may be involved in microglial upregulation of MHCII.
CD4, CD8 T cell infiltration, microglial MHCII expression coincides with dopamine neuron loss
We quantified dopamine neuron loss, microglial MHCII expression, αsyn oligomers, CD4, and CD8 T cells in nude and heterozygous nude rats at 60 (8 weeks) days timepoint. To understand the relationship between the timeline of neuron loss, microglial activation, and T cell infiltration post α-syn injection, we analyzed heterozygous nude rats injected with either AAV9-GFP or AAV9-α-syn at 2-week intervals. A progressive loss of dopamine neurons was observed in heterozygous nude rats injected with AAV9-α-syn with progressive loss over time (Two-way ANOVA p < 0.05; treatment: F (1, 24) = 243.8, p < 0.01; timepoint: F (3, 24) = 55.62, p < 0.01; post hoc analysis: Tukey’s multiple comparison test) (Fig. 6a). Similarly, a gradual increase in the number of activated microglia expressing MHCII was observed with time coinciding with neuron loss (Two-way ANOVA p < 0.001; treatment: F (1, 24) = 60.63, p < 0.0001; timepoint: F (3, 24) = 12.43, p < 0.0001; post hoc analysis: Tukey’s multiple comparison test) (Fig. 6d). However, the expression of Iba1 and α-syn33 oligomers in SNpc (normalized to TH expression) increased at 15 (2 weeks) and 30 (4 weeks) days and remained stable over time up to 60 (8 weeks) days (Two-way ANOVA p < 0.0001; treatment: F (1, 24) = 36.01, p < 0.0001; post hoc analysis: Tukey’s multiple comparison test) (Fig. 6b, c). Concurring with microglial MHCII expression, the number of both CD4 and CD8 T cells also increased progressively with time in SNpc of heterozygous rats expressing αsyn (Fig. 6e, f). In Fig. 6g, we show the relationship between all of these events. The changes that most closely coincide with loss of TH staining are the expression of MHCII, CD4, and CD8 T cell. Thus, although microglia respond to the presence of α-synuclein by showing upregulation of Iba1 and changes in morphology (as shown in Fig. 3), this remains stable over time, the loss of TH more closely follows the expression of MHCII and T cell infiltration.
LPS and TNF-α both stimulate microglia ex vivo
Our results show that T cells infiltration coincides with the expression of MHCII in microglia in response to expression of α-syn in the SNpc. In order to test if the microglia from nude rats show normal expected pro-inflammatory responses to other stimuli such as LPS and TNF-α, we isolated primary microglial cells from nude and heterozygous nude rats and exposed them to LPS (1 ng/ml) or TNF-α (50 ng/ml) in vitro. From both genotypes, we isolated around 2 million microglia per brain showing no differences in absolute numbers of microglia in untreated rats. Following LPS exposure, the amount of TNF-α secreted in the media was tested using ELISA (Fig. 7a). Microglial cells isolated from both nude and heterozygous nude rats secreted equivalent amounts of TNF-α in response to LPS treatment, demonstrating that the lack of T cells in the nude rats does not alter the microglial cell’s ability to respond to the pro-inflammatory stimulation by LPS. Furthermore, extraction of RNA from isolated microglial cells exposed to either LPS or TNF-α demonstrated that induction of the pro-inflammatory genes, TNF-α, MHCII, IL1β, and IL6 using qRT-PCR, were similar in microglia cells from both nude and heterozygous nude rats (Fig. 7b-e). These results suggest that microglia from nude and heterozygous nude rats are able to respond equally to various pro-inflammatory stimuli and further underscore that the lack of increased MHCII expression in response to α-synuclein in the athymic nude rats is due to the absence of T cells and not due to a reduction in response to other pro-inflammatory activators. Further work is needed to explore the specific subtype of T cell and its role in the stimulation of the microglial response.
Discussion
Clinical symptoms of PD includes tremor, postural instability, slowness of movement, and rigidity [2] characterized using behavioral test such as locomotor activity, rotarod, and forepaw cylinder test in rodent models. We have previously shown that AAV9-induced expression of α-syn results in dopamine neuronal loss in SNpc and is accompanied by forelimb akinesia as assessed by the cylinder test [26]. In our study, we observed a similar forelimb akinesia in T cell competent rat expressing α-syn but not in T cell deficient rats. Symptom onset in PD happens almost after 50% loss of DA neurons in SNpc affecting nigrostriatal pathway suggesting that T cell deficient rats may not have undergone extensive DA neuron loss in SNpc at the timepoint we analyzed. Though, the underlying cause for neurodegeneration and accumulation of α-syn in PD remains unclear, there is increasing evidence linking environmental factors, genetics, and failure in the ubiquitin-proteasome pathway in clearing out the damaged proteins [33]. Pro-inflammatory changes in microglia, resident innate immune cells of the CNS, resulting from α-syn accumulation has been suggested as a likely cause of the neuronal loss in SNpc [11, 16, 34–37]. Microglia survey the brain environment for any damage to neurons, presence of any foreign antigens, and synaptic functionality. In their resting state, microglia survey by cell-cell interactions and fluid endocytosis (pinocytosis) of the extracellular matrix [38]. Encountering a foreign antigen or small pathogen, microglia change their number, morphology, and cell surface receptors and become activated. Depending on the exact manifestation of microglial response to the microenvironment neurodegeneration occurs in a diseased brain. Pro-inflammatory microglia are responsible for cascades of cytokines and chemokines; however, the balance in this response can have either beneficial or detrimental effects on the site of damage. In our study, we found extensive microglial changes including increased cell body diameter, number of cells in the SNpc, and upregulation of MHCII (Fig. 3) along with dopamine neuron loss (Fig. 2) in heterozygous nude rats injected with AAV9-α-syn corroborating previous studies. The role of microglia has been increasingly explored in pathogenesis of Parkinson’s disease; however, the role of adaptive immune system such as T cells and B cells is still being explored [39, 40].
Post-mortem human PD brains have shown the presence of both CD4+ (helper) and CD8+ (cytotoxic) T cells suggesting that ongoing neurodegeneration may recruit them to the area of damage [20]. The role of T cells in PD has been increasingly explored in neurotoxic symptomatic models like MPTP, 6-hydroxydopamine. MPTP toxicity is reduced in T cell deficient mice suggesting a neurotoxic role for T cells in PD [20, 23, 41, 42]. Reports have also shown that in postmortem human PD brains, microglia activated by α-syn accumulation secrete cytokines activating dopamine neurons in SNpc to express MHC class I on the cell surface and in turn, CD8+ T cells kill these neurons that express the right combination of α-syn peptide and MHC class I receptor [43]. Nevertheless, the role of T cells and T cell subtypes in an α-syn-mediated neurodegeneration is still not fully understood. In this study, we have demonstrated that T cells are necessary for the upregulation of MHCII in microglia and that this appears to be an important step in dopamine neuronal loss in SNpc in response to α-synuclein. The microglia in both nude and heterozygous rats do show a response to α-synuclein as demonstrated by clear changes in morphology in both genotypes. However, only in the heterozygous rats was the response to α-synuclein more pronounced, both when measured with Iba1 and the expression of MHCII (Fig. 3). We use a PD model that overexpresses human wild-type α-syn using adeno-associated virus serotype 9 in SNpc, which closely mimics many aspects of both genetic and sporadic disease pathology in humans. We demonstrate that with equal levels of α-syn accumulation within the SNpc, dopaminergic neuron cell death in nude rats (T cell deficient) and heterozygous nude rats (T cell competent) is markedly different. The amount of cell loss was significantly higher in the heterozygous nude rats that are T cell competent and we also observe upregulation of MHCII in microglia. Furthermore, a comparison to F344 rats which have a fully competent adaptive immune system, injected with equivalent amount of AAV9-α-syn showed even greater and faster loss of DA neurons. This suggests that there could be a T cell dose dependent cell loss, although we cannot fully rule out that this effect might have been related to background strain differences between the athymic nude and F344 rats.
Our results indicate that presence of α-syn alone may not be sufficient to cause significant cell death of dopamine neurons in SNpc and that T cells are required for this process, at least in the time frame studied here. It is possible that a longer exposure to α-synuclein in the absence of T cells would have resulted in additional loss of DA neurons and that the presence of T cells simply accelerates the process by upregulation of MHC class II in microglia. α-synuclein expression alters microglia in both athymic nude and heterozygous nude rats but presence of T cells increases microglial expression Iba1 as well as upregulation of MHCII in the SNpc, indicating that the presence of T cells is likely involved in the upregulation of MHC class II in microglia (monocyte) that may be necessary, or at least accelerate, dopaminergic cell loss.
The major hallmark difference between nude rats and heterozygous nude rats is the absence and presence of mature T cells (Supplementary Figure 1). Although heterozygous nude rats are immune competent, when comparing to F344 rat they carry a lower population of T cells (Supplemental Figure 1). Genotypic difference between nude and heterozygous nude rats did not affect the viral expression of α-syn as we observed similar expression of α-syn oligomers in SNpc by both nude and heterozygous nude rats. Supporting previous studies in human post-mortem PD brains [20], we also observed CD4+ and CD8+ T cells in SNpc of both heterozygous nude rats and F344 rats but not in nude rats (Fig. 5, Supplementary Figure 3). The infiltration of T cells coincided with microglial MHCII expression indicating a strong connection between microglial MHCII expression, CD4, CD8 T cell infiltration, and DA neuron loss. Studying the timeline of dopamine neuron loss in T cell competent rats revealed that although α-synuclein expression and the response of microglia to upregulate Iba1 occurs by 30 (4 weeks) days, they both remain stable until 60 (8 weeks) days. Conversely, there was a gradual increase in microglial expression of MHCII, CD4, and CD8 T cell infiltration that mirrored the progressive decline in dopamine neurons in SNpc (Fig. 6). However, whether the initiation factor for dopamine neuron loss is microgliosis or T cell infiltration is unknown. Microglia from two genetically different rats used in this study did not have any discrepancy in terms of inflammatory response to various stimuli. The pro-inflammatory response of microglia to LPS and TNF-α was similar in both nude and heterozygous nude rats. The presence or absence of T cells did not affect the microglial response to these stimuli in treatment ex vivo (Fig. 7). This further underscores that the absence of DA cell loss observed in the nude rats is related to the absence of T cells and not a general difference in microglial function. Taken together, these results suggest that the interaction of T cells with microglia involving upregulation of MHC class II is necessary for dopamine neuronal loss in SNpc and the progressive decline in dopamine neurons is concurrent with increase in microglial upregulation of MHCII and T cell infiltration. This is in agreement with previous studies demonstrating that in MHCII deficient rodents, α-synuclein is less toxic [23]. Our findings demonstrate a role for T cells in this interaction.
From our study in this AAV-α-syn model of PD, T cells are required for microglial upregulation of MHCII and subsequent loss of DA neurons in the SNpc. This indicates that both the presence of T cells and microglial upregulation of MHCII are important for loss of dopamine neurons in the SNpc. This study examines the contribution of T cells by using a model that lacks all T cells including both cytotoxic (CD8+) and helper (CD4+) T cells; therefore, the role of the specific subtypes of T cells in neurodegeneration in α-syn model of PD needs to be further explored. In a human autologous iPSC-based model and an MPTP model of PD, T helper (Th) 1 and Th17, the pro-inflammatory phenotypes of CD4+ T cells, are shown to be involved in the degeneration of neurons [42, 44]. However, the anti-inflammatory phenotypes of CD4+ T cells such as Th2 and Treg are shown to be neuroprotective, but are not elevated in SN in an MPTP model of PD. Administration of Treg to MPTP mice led to robust protection against dopamine neuron loss in the SN [42]. The exact role of the T helper and Treg cells in the AAV-α-syn model of PD needs to be explored further. Specific subtypes of T cells are found to be key players in diseases like multiple sclerosis and rheumatoid arthritis [45]. Drug candidates targeting against Th17/IL17 pathway have been approved for various inflammatory disorders such as psoriasis, rheumatoid arthritis, multiple sclerosis, and Crohn’s disease [46]. Understanding their association in PD pathogenesis will help to revise our knowledge on how dopamine neuronal loss in SNpc might be driven by systemic inflammation caused by T cells. Targeting specific subtype of T cells entry to CNS might be a better therapeutic model in the treatment of PD patients.
Conclusions
In summary, we clearly demonstrate that the AAV9 α-syn-mediated loss of DA neurons in the SNpc is dependent on the presence of T cells and their interaction with microglia to upregulate MHCII. There was no significant loss of DA neurons in the athymic nude rats unlike the heterozygous nude rats which had significant DA neuron loss, despite the presence of similar amounts of oligomeric α-synuclein. This emphasizes that neuroinflammation, T cell infiltration in SNpc, and microglial upregulation of MHCII is a key component to cell death in this model of PD pathology.
Supplementary information
Acknowledgements
N/A
Abbreviations
- AAV
Adeno-associated virus
- α-syn
α-synuclein
- CD
Cluster of differentiation
- CNS
Central nervous system
- DA
Dopamine
- F344
Fischer 344
- GFP
Green fluorescent protein
- IL
Interleukin
- L-DOPA
L-3, 4-dihydroxyphenylalanine
- LPS
Lipopolysaccharide
- MHC II
Major histocompatibility complex II
- MPTP
1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine
- PD
Parkinson’s disease
- RT-PCR
Reverse transcription polymerase chain reaction
- SNpc
Substantia nigra pars compacta
- TNF
Tumor necrosis factor
- TH
Tyrosine hydroxylase
Authors’ contributions
M.S.S, K.R.N, and P.C.B designed research; M.S.S, C.H, K.R.N, and L.D.M performed research; M.S.S and P.C.B analyzed data; M.S.S, K.R.N, and P.C.B wrote the paper. The author(s) read and approved the final manuscript.
Funding
This study was supported by grants from the VAMRS I01BX000231 and IKBX004214 (to P.C.B)
Availability of data and materials
The datasets generated and/or analyzed in this study are available from the corresponding author upon request.
Ethics approval and consent to participate
All animal work in this study was conducted according to the NIH guidelines for animal use and IACUC of the Morsani College of Medicine, University of South Florida.
Consent for publication
N/A
Competing interests
The authors declare no competing interests.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Supplementary information
Supplementary information accompanies this paper at 10.1186/s12974-020-01911-4.
References
- 1.Kowal SL, Dall TM, Chakrabarti R, Storm MV, Jain A. The current and projected economic burden of Parkinson’s disease in the United States. Movement Disorders. 2013;28(3):311–318. doi: 10.1002/mds.25292. [DOI] [PubMed] [Google Scholar]
- 2.Alexander GE. Biology of Parkinson’s disease: pathogenesis and pathophysiology of a multisystem neurodegenerative disorder. Dialogues Clin Neurosci. 2004;6(3):259–280. doi: 10.31887/DCNS.2004.6.3/galexander. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Bennett DA, Beckett LA, Murray AM, Shannon KM, Goetz CG, Pilgrim DM, et al. Prevalence of Parkinsonian signs and associated mortality in a community population of older people. New England Journal of Medicine. 1996;334(2):71–76. doi: 10.1056/NEJM199601113340202. [DOI] [PubMed] [Google Scholar]
- 4.Klein C, Westenberger A. Genetics of Parkinson’s disease. Cold Spring Harbor perspectives in medicine. 2012;2(1):a008888-a. [DOI] [PMC free article] [PubMed]
- 5.Sulzer D, Surmeier DJ. Neuronal vulnerability, pathogenesis, and Parkinson’s disease. Movement Disorders. 2013;28(6):715–724. doi: 10.1002/mds.25187. [DOI] [PubMed] [Google Scholar]
- 6.Toulouse A, Sullivan AM. Progress in Parkinson’s disease—where do we stand? Progress in Neurobiology. 2008;85(4):376–392. doi: 10.1016/j.pneurobio.2008.05.003. [DOI] [PubMed] [Google Scholar]
- 7.Stefanis L. α-Synuclein in Parkinson’s disease. Cold Spring Harbor perspectives in medicine. 2012;2(2):a009399-a. [DOI] [PMC free article] [PubMed]
- 8.Polymeropoulos MH, Lavedan C, Leroy E, Ide SE, Dehejia A, Dutra A, et al. Mutation in the α-synuclein gene identified in families with Parkinson's Disease. Science. 1997;276(5321):2045. [DOI] [PubMed]
- 9.Singleton AB, Farrer M, Johnson J, Singleton A, Hague S, Kachergus J, et al. α-synuclein locus triplication causes Parkinson's Disease. Science. 2003;302(5646):841. [DOI] [PubMed]
- 10.Zarranz JJ, Alegre J, Gómez-Esteban JC, Lezcano E, Ros R, Ampuero I, et al. The new mutation, E46K, of α-synuclein causes parkinson and Lewy body dementia. Annals of Neurology. 2004;55(2):164–173. doi: 10.1002/ana.10795. [DOI] [PubMed] [Google Scholar]
- 11.Hirsch EC, Vyas S, Hunot S. Neuroinflammation in Parkinson’s disease. Parkinsonism & Related Disorders. 2012;18:S210–S2S2. doi: 10.1016/S1353-8020(11)70065-7. [DOI] [PubMed] [Google Scholar]
- 12.Wang Q, Liu Y, Zhou J. Neuroinflammation in Parkinson’s disease and its potential as therapeutic target. Translational neurodegeneration. 2015;4:19-. [DOI] [PMC free article] [PubMed]
- 13.Earls RH, Menees KB, Chung J, Barber J, Gutekunst C-A, Hazim MG, et al. Intrastriatal injection of preformed alpha-synuclein fibrils alters central and peripheral immune cell profiles in non-transgenic mice. Journal of Neuroinflammation. 2019;16(1):250. doi: 10.1186/s12974-019-1636-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Peralta Ramos JM, Iribarren P, Bousset L, Melki R, Baekelandt V, Van der Perren A. Peripheral inflammation regulates CNS immune surveillance through the recruitment of inflammatory monocytes upon systemic α-synuclein administration. Front Immunol. 2019;10:80-. [DOI] [PMC free article] [PubMed]
- 15.Heneka MT, Carson MJ, El Khoury J, Landreth GE, Brosseron F, Feinstein DL, et al. Neuroinflammation in Alzheimer’s disease. The Lancet Neurology. 2015;14(4):388–405. doi: 10.1016/S1474-4422(15)70016-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Hickman S, Izzy S, Sen P, Morsett L, El Khoury J. Microglia in neurodegeneration. Nature Neuroscience. 2018;21(10):1359–1369. doi: 10.1038/s41593-018-0242-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Lively S, Schlichter LC. The microglial activation state regulates migration and roles of matrix-dissolving enzymes for invasion. Journal of neuroinflammation. 2013;10:75-. [DOI] [PMC free article] [PubMed]
- 18.Sanchez-Guajardo V, Barnum Christopher J, Tansey Malú G, Romero-Ramos M. Neuroimmunological processes in Parkinson’s disease and their relation to α-synuclein: microglia as the referee between neuronal processes and peripheral immunity. ASN NEURO. 2013;5(2):e00112. doi: 10.1042/AN20120066. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Cannella B, Raine CS. The adhesion molecule and cytokine profile of multiple sclerosis lesions. Annals of Neurology. 1995;37(4):424–435. doi: 10.1002/ana.410370404. [DOI] [PubMed] [Google Scholar]
- 20.Brochard V, Combadière B, Prigent A, Laouar Y, Perrin A, Beray-Berthat V, et al. Infiltration of CD4+ lymphocytes into the brain contributes to neurodegeneration in a mouse model of Parkinson disease. The Journal of Clinical Investigation. 2009;119(1):182–192. doi: 10.1172/JCI36470. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Baek H, Ye M, Kang G-H, Lee C, Lee G, Choi DB, et al. Neuroprotective effects of CD4+CD25+Foxp3+ regulatory T cells in a 3xTg-AD Alzheimer’s disease model. Oncotarget. 2016;7(43):69347–69357. doi: 10.18632/oncotarget.12469. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 22.Reynolds AD, Banerjee R, Liu J, Gendelman HE, Lee MR. Neuroprotective activities of CD4+CD25+ regulatory T cells in an animal model of Parkinson’s disease. Journal of Leukocyte Biology. 2007;82(5):1083–1094. doi: 10.1189/jlb.0507296. [DOI] [PubMed] [Google Scholar]
- 23.Harms AS, Cao S, Rowse AL, Thome AD, Li X, Mangieri LR, et al. MHCII is required for α-synuclein-induced activation of microglia, CD4 T cell proliferation, and dopaminergic neurodegeneration. The Journal of neuroscience : the official journal of the Society for Neuroscience. 2013;33(23):9592–9600. doi: 10.1523/JNEUROSCI.5610-12.2013. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 24.Giráldez-Pérez RM, Antolín-Vallespín M, Muñoz MD, Sánchez-Capelo A. Models of α-synuclein aggregation in Parkinson’s disease. Acta Neuropathologica Communications. 2014;2(1):176. doi: 10.1186/s40478-014-0176-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Hanes MA. Chapter 24 - The Nude Rat. In: Suckow MA, Weisbroth SH, Franklin CL, editors. The laboratory rat (Second Edition). Burlington: Academic Press; 2006. p. 733-759.
- 26.Nash KR, Moran P, Finneran DJ, Hudson C, Robinson J, Morgan D, et al. Fractalkine over expression suppresses α-synuclein-mediated neurodegeneration. Molecular Therapy.23(1):17-23. [DOI] [PMC free article] [PubMed]
- 27.Nash KR, Gordon MN. Convection enhanced delivery of recombinant adeno-associated virus into the mouse brain. In: Manfredsson FP, editor. Gene Therapy for Neurological Disorders: Methods and Protocols. New York, NY: Springer New York; 2016. pp. 285–295. [DOI] [PubMed] [Google Scholar]
- 28.Sengupta U, Guerrero-Muñoz MJ, Castillo-Carranza DL, Lasagna-Reeves CA, Gerson JE, Paulucci-Holthauzen AA, et al. Pathological interface between oligomeric alpha-synuclein and tau in synucleinopathies. Biological Psychiatry. 2015;78(10):672–683. doi: 10.1016/j.biopsych.2014.12.019. [DOI] [PubMed] [Google Scholar]
- 29.Flowers A, Bell-Temin H, Jalloh A, Stevens SM, Bickford PC. Proteomic analysis of aged microglia: shifts in transcription, bioenergetics, and nutrient response. Journal of Neuroinflammation. 2017;14(1):96. doi: 10.1186/s12974-017-0840-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.Pabon MM, Bachstetter AD, Hudson CE, Gemma C, Bickford PC. CX3CL1 reduces neurotoxicity and microglial activation in a rat model of Parkinson’s disease. Journal of Neuroinflammation. 2011;8(1):9. doi: 10.1186/1742-2094-8-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31.Shahaduzzaman M, Nash K, Hudson C, Sharif M, Grimmig B, Lin X, et al. Anti-human α-synuclein N-terminal peptide antibody protects against dopaminergic cell death and ameliorates behavioral deficits in an AAV-α-synuclein rat model of Parkinson’s disease. PLOS ONE. 2015;10(2):e0116841. doi: 10.1371/journal.pone.0116841. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Landeck N, Hall H, Ardah MT, Majbour NK, El-Agnaf OMA, Halliday G, et al. A novel multiplex assay for simultaneous quantification of total and S129 phosphorylated human alpha-synuclein. Molecular Neurodegeneration. 2016;11(1):61. doi: 10.1186/s13024-016-0125-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Eriksen JL, Wszolek Z, Petrucelli L. Molecular pathogenesis of Parkinson disease. Archives of Neurology. 2005;62(3):353–357. doi: 10.1001/archneur.62.3.353. [DOI] [PubMed] [Google Scholar]
- 34.Austin SA, Floden AM, Murphy EJ, Combs CK. α-Synuclein expression modulates microglial activation phenotype. The Journal of Neuroscience. 2006;26(41):10558–10563. doi: 10.1523/JNEUROSCI.1799-06.2006. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.Benner EJ, Banerjee R, Reynolds AD, Sherman S, Pisarev VM, Tsiperson V, et al. Nitrated alpha-synuclein immunity accelerates degeneration of nigral dopaminergic neurons. PloS one. 2008;3(1):e1376-e. [DOI] [PMC free article] [PubMed]
- 36.Hoenen C, Gustin A, Birck C, Kirchmeyer M, Beaume N, Felten P, et al. Alpha-synuclein proteins promote pro-inflammatory cascades in microglia: stronger effects of the A53T mutant. PloS one. 2016;11(9):e0162717-e. [DOI] [PMC free article] [PubMed]
- 37.Jurgens HA, Johnson RW. Dysregulated neuronal-microglial cross-talk during aging, stress and inflammation. Experimental neurology. 2012;233(1):40–48. doi: 10.1016/j.expneurol.2010.11.014. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Nimmerjahn A, Kirchhoff F, Helmchen F. Resting microglial cells are highly dynamic surveillants of brain parenchyma in vivo. Science. 2005;308(5726):1314. doi: 10.1126/science.1110647. [DOI] [PubMed] [Google Scholar]
- 39.Carson MJ, Doose JM, Melchior B, Schmid CD, Ploix CC. CNS immune privilege: hiding in plain sight. Immunol Rev. 2006;213:48–65. doi: 10.1111/j.1600-065X.2006.00441.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Appel SH, Beers DR, Henkel JS. T cell-microglial dialogue in Parkinson’s disease and amyotrophic lateral sclerosis: are we listening? Trends in Immunology. 2010;31(1):7–17. doi: 10.1016/j.it.2009.09.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Kannarkat GT, Boss JM, Tansey MG. The role of innate and adaptive immunity in Parkinson’s disease. Journal of Parkinson’s disease. 2013;3(4):493–514. doi: 10.3233/JPD-130250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Reynolds AD, Stone DK, Hutter JAL, Benner EJ, Mosley RL, Gendelman HE. Regulatory T cells attenuate Th17 cell-mediated nigrostriatal dopaminergic neurodegeneration in a model of Parkinson’s disease. The Journal of Immunology. 2010;184(5):2261–2271. doi: 10.4049/jimmunol.0901852. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Sulzer D, Alcalay RN, Garretti F, Cote L, Kanter E, Agin-Liebes J, et al. T cells from patients with Parkinson’s disease recognize α-synuclein peptides. Nature. 2017;546(7660):656–661. doi: 10.1038/nature22815. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Sommer A, Marxreiter F, Krach F, Fadler T, Grosch J, Maroni M, et al. Th17 Lymphocytes induce neuronal cell death in a human iPSC-based model of Parkinson’s disease. Cell Stem Cell. 2018;23(1):123-31.e6. [DOI] [PubMed]
- 45.Bolte AC, Lukens JR. Th17 cells in Parkinson’s disease: the bane of the midbrain. Cell Stem Cell. 2018;23(1):5–6. doi: 10.1016/j.stem.2018.06.016. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Bartlett HS, Million RP. Targeting the IL-17–TH17 pathway. Nature Reviews Drug Discovery. 2015;14(1):11–12. doi: 10.1038/nrd4518. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The datasets generated and/or analyzed in this study are available from the corresponding author upon request.