Abstract
Objectives
Aggregation of α-synuclein (α-syn) and α-syn cytotoxicity are hallmarks of sporadic and familial Parkinson’s disease (PD) with accumulating evidence that prefibrillar oligomers and protofibrils are the pathogenic species in PD and related synucleinopathies. Peroxisome proliferator-activated receptor γ (PPARγ) co-activator 1α (PGC-1α), a key regulator of mitochondrial biogenesis and cellular energy metabolism, has recently been associated with the pathophysiology of PD. Despite extensive effort on studying the function of PGC-1α in mitochondria, no studies have addressed whether PGC-1α directly influences oligomerization of α-syn or whether α-syn oligomers impact PGC-1α expression.
Results
In this study, we found that both PGC-1α reference gene (RG-PGC-1α) and the CNS specific PGC-1α (CNS-PGC-1α) are downregulated in human PD brain, in A30P α-syn transgenic animals, and in a cell culture model for α-syn oligomerization. Importantly, down-regulation of both RG-PGC-1α and CNS-PGC-1α in cell culture or neurons from RG-PGC-1α deficient mice leads to a strong induction of α-syn oligomerization and toxicity. In contrast, pharmacological activation or genetic overexpression of RG-PGC-1α reduced α-syn oligomerization and rescued α-syn mediated toxicity.
Interpretation
Based on our results, we propose that PGC-1α downregulation and α-syn oligomerization from a vicious circle thereby influencing and/or potentiating each other. Our data indicate that restoration of PGC-1α is a promising approach for development of effective drugs for the treatment of PD and related synucleinopathies.
Keywords: PGC-1α, alpha synuclein oligomers, aggregation, Parkinson’s disease
Introduction
Parkinson’s disease (PD) is an adult onset neurodegenerative disease characterized by α-synuclein (α-syn) neuropathology and progressive neuronal loss in the substantia nigra pars compacta (SN). The α-syn neuropathology spreads besides the SN widely also to other brain areas, e.g. large parts of the peripheral autonomic nervous system in early stages or the cerebral cortex in later stages 1. The characteristic α-syn immunoreactive inclusions are termed Lewy bodies or Lewy neurites and contain fibrillar aggregates of α-syn as a main component2. A recent growing body of evidence, however, suggests that prefibrillar oligomers are the key contributors to the development of PD 3–7. A-syn oligomers and prefibrillar forms, rather than mature fibrils, have recently been shown to induce cell death in vitro 8 and in vivo 9 and are thus regarded as the pathogenic species in PD 10–13. Little is known about how and why α-syn oligomers are forming. Reactive oxygen species (ROS) increase α-syn oligomer formation, and mitochondrial alterations 14–16, leading to further increased ROS production, are associated with degeneration of midbrain dopamingergic neurons 17. PD pathogenesis is intricately linked to mitochondrial dysfunction and oxidative stress 18–20. Inhibiting complex I of the mitochondrial respiratory chain in dopaminergic neuronal cells reproduces many features of PD including α-syn inclusions in rats 21. Administration of MPTP also targeting mitochondrial complex I causes acute and permanent PD in humans 22 and has been used to generate experimental models of PD in animals and in cell culture studies 23–25. Several studies demonstrated that genes regulating mitochondrial function or oxidative stress influence the risk of PD 26–28. One of the major regulators of mitochondrial biogenesis and energy metabolism in cells is the peroxisome proliferator-activated receptor γ (PPARγ) co-activator 1α (PGC-1α) 29. PGC-1α controls oxidative phosphorylation, antioxidant defense 30 and autophagy31. Recent studies identified different tissue-specific isoforms of PGC-1α, including muscle-specific and CNS-specific isoforms (CNS-PGC-1α) 32, 33. The reference gene of PGC-1α (RG-PGC-1α) has been reported as an important key player in several neurodegenerative diseases 34. Restoration of PGC-1α expression ameliorates the symptoms in a mouse model of Huntington’s disease (HD) by promoting the elimination of huntingtin aggregates 31. Additionally, several studies pointing to PGC-1α as a modifier of HD 35–38, however, there is also one study questioning this association 39. Moreover, transgenic overexpression of PGC-1α in mice improves motoneuron function and extends life span in the SOD1-G93A mouse model of ALS 40, 41. In line with these studies, we have previously shown that RG-PGC-1α deficiency leads to an earlier age of onset and shortened survival in ALS male mice42. Only a few studies have addressed PGC-1α in the context of PD, and its relevance for PD is poorly understood. Genes that are regulated by PGC-1α are underexpressed in PD brains 43; however, whether RG-PGC-1α itself or CNS-PGC-1α are deregulated in PD, i.e. expressed above or below a physiological range, is not known thus far. A tight regulation of PGC-1α in the nigrostriatal system has been shown to be crucial for maintenance of dopaminergic neurons under physiological conditions44. In mice, repression of PGC-1α kills dopaminergic neurons, and PGC-1α activation can prevent this loss 45. Interestingly, α-syn is able to reduce PGC-1α expression by direct interaction with its promoter 46, and PGC-1α restoration improves survival of neurons overexpressing the mutated α-syn 47. Together, existing data from the literature point to a vicious circle between PGC1α dysfunction and α-syn oligomerizatin and toxicity. To test the hypothesis that PGC1α dysfunction and α-syn oligomerization influence each other and/or built a vicious circle we set out to determine how PGC-1α affects α-syn mediated toxicity, and more importantly, whether PGC-1α impacts α-syn oligomerization. Vice versa, we examined whether α-syn oligomers could influence RG-PGC-1α or CNS-PGC-1α expression. To address these questions, we used human PD patient material, a mouse model for PD, and a PD cell culture model to determine whether different isoforms of PGC-1α were deregulated in PD. Furthermore, using an α-syn protein complementation assay, we explored whether PGC-1α directly influences α-syn oligomer formation and α-syn-mediated toxicity.
Methods
Human Samples
Fresh frozen human brain tissue from the substantia nigra pars compacta was used for the determination of mRNA-levels of RG-PGC-1α and CNS-PGC-1α. All PD patients were diagnosed using the UK PD Society Brain Bank clinical diagnostic criteria at specialized centers for PD. Neuropathological diagnosis demonstrated the presence of Lewy body pathology in the substantia nigra with typical pathological features1. We used SN tissue from cases with Braak stage 5 and 6. In PD Braak stage 5, the lesions advance from the temporal mesocortex to adjacent high-order sensory association areas of the neocortex. In PD Braak stage 6, the neocortical pathology proceeds further, i.e., into the first order sensory association areas of the neocortex and, sometimes, into the neocortical primary sensory and motor fields 1. The brain samples were received from the brain bank of Ulm University, University of California, San Diego, and the Mayo Clinic, Jacksonville, Florida. All human experiments were performed in accordance with the declaration of Helsinki and approved by the respective Local Research Ethics Committees.
Animals
Thy-1 (A30P) α-synuclein mice 48, 49 genotyping was performed as described previously 48, 49. Mice were maintained in a temperature- and humidity-controlled environment at 23°C with a 12h light/dark cycle and had food and water ad libitum. Thy-1 α-syn A30P mice were repeatedly tested for α-syn expression on mRNA level and protein level. Moreover, the typical phenotype including impaired balance, hind limb clasping and a reduced position reflex as described earlier 49–51 was observed in our mice starting at 16 month of age. As an additional quality control for our mouse cohort, proteinase K PET blots (as described previously 49) confirmed α-syn pathology beginning with the age of 12 month with inter-individual variation. Most importantly, the α-syn pathology was consistently seen in Thy-1 α-syn A30P mice with the age of 18 month (data not shown). For biochemical analysis, animals were sacrificed and tissues were quickly dissected, frozen in liquid nitrogen and stored at −80°C until use. RG-PGC-1α deficient mice used in this study were described earlier 52.
Plasmids
Plasmids used in this study such as fusion constructs α-syn -hGLuc1 (S1) and α-syn -hGLuc2 (S2) as well as PGC-1α plasmid have been described previously 53–55. Lentiviral vectors used the human p6IPZ Library from Open Biosystems. Therefore the target sequences were designed by using an algorithm approach (ShPGC-1α-A: TGCTGTTGACAGTGAGCGCGCCAACACTCAGCTAAGTTATTAGTGAAGCCACAG ATGTAATAACTTAGCTGAGTGTTGGCTTGCCTACTGCCTCGGA; ShPGC-1α-B: TGCTGTTGACAGTGAGCGACGTGTGATTTATGTCGGTAAATAGTGAAGCCACAG ATGTATTTACCGACATAAATCACACGGTGCCTACTGCCTCGGA).
Primary cortical neuron cultures
Primary cortical neurons were cultured from E16 embryos issued from a cross between two homozygous RG-PGC-1α knock-out or wildtype mice. After mechanical dissociation, cells were resuspended in Neurobasal (NB) (Gibco, Darmstadt, Germany) medium supplemented with 10% fetal bovine serum, 2 mM Glutamax, 100 U/mL penicillin, and 100 μg/mL streptomycin and plated at a density of 3.84 × 104 cells/well on 96w plates (Corning, NY, USA), 60 mm dishes at a density of 3.6 × 106 cells/dish (Costar, Corning, NY, USA) coated with 20μg/mL poly-D-lysine (Sigma-Aldrich, St. Louis, MO, USA). After 2 h medium was changed into NB/B-27 [NB medium containing 2% (v/v) B-27 supplement], 100 U/mL penicillin, 100 μg/mL streptomycin, and 2 mM/L glutamine and grown at 37°C in 5% CO2. Medium was changed every third day partially. Neurons were grown for 4–5 days in vitro (DIV) before infected with AAV8-S1/AAV8-S2 or treated with conditioned media from S1/S2 transfected H4 cells.
Cell culture and transfection
Human H4 neuroglioma cells (HTB-148 - ATCC, Manassas, VA, USA) were maintained in DMEM medium supplemented with 10% fetal bovine serum (both from Invitrogen) and incubated at 37°C, 5% CO2. Cells were plated 24 hours prior transfection at confluency of 80–90%. Transfection was performed using Superfect (Qiagen, Chatsworth, CA, USA) using equimolar ratios of plasmids according to the manufacturer’s instructions.
Pharmacological treatments and synuclein-reuptake experiments
H4 cells were plated into 96 well plates (Costar, Corning, NY, USA) and transfected as described above. Transfection mix was incubated for 2h according to manufacturer’s protocol, after 14h media was replaced by fresh culture media containing resveratrol, AICAR or compound C (Sigma-Aldrich) at the indicated concentration. After 24h post transfection α-syn oligomerization was measured using Gaussia luciferase protein-fragment complementation assay or toxicity was assessed using Caspase 3/7 activity assays (Promega, Madison, WI) (see below).
For bafilomycin A1 (BAF A1) experiments H4 cells were transfected as described above. After 28h post transfection 200 nM BAF A1 or DMSO control was added to the cells for another 20h before α-syn oligomerization was measured using the Gaussia luciferase protein-fragment complementation assay.
For re-uptake experiments conditioned media from S1/S2 transfected H4 cells was collected 48 hours post-transfection and centrifuged for 5 min at 3000 g to eliminate floating cells before being transferred to naïve primary neuron for the indicated time. Primary neurons were treated with a 1:1 ratio of conditioned media containing α-syn oligomers and neuronal culture media.
Toxicity assay
Toxicity was analyzed 1–2 days after S1/S2 transfection or after treatment with conditioned media from S1/S2 transfected H4 cells by using either the ToxiLight BioAssay Kit (Lonza, Rockland, ME), which quantitatively measures the release of adenylate kinase (AK) from damaged cells (Miret, 2006) or by using Apo- ONE homogeneous Caspase-3/7 assay (Promega, Madison, WI) measuring the activity of Caspases 3 and 7 using a fluorometric substrate Z-DEVD-Rhodamine 110 according to the respective manufacturers’ instructions. Viability was evaluated by using the CellTiter-Glo® Luminescent Cell Viability Assay (Promega, Madison, WI), which quantifies the amount of ATP, an indicator of metabolically active cells.
Gaussia luciferase protein-fragment complementation assay
H4 cells were transfected with S1 and S2 in a white 96-well plate as described above. 24h after transfection, culture media was removed and cells were washed with PBS and placed in OPTI-MEM (Gibco, Darmstadt, Germany) for measurement. Luciferase activity from protein complementation was measured for conditioned media and live cells in an automated plate reader (Perkin-Elmer, Waltham, Massachusets) at 480 nm following the injection of the cell permeable substrate, coelenterazine (20 μM) (Prolume Ltd, Pinetop, AZ) with a signal integration time of 2 seconds.
AAV vectors construction and production
The viral vectors rAAV-CBA-SYNUCLEIN-LUC1-WPRE (S1) and rAAV-CBA-SYNUCLEIN-LUC2-WPRE (S2) used in this study were described previously 53, 54.
Lentiviral production
Lentivirus was produced in 293T HEKcells after transfection of 15 μg shRNA plasmid, 10μg HIV-gag/pol and 5 μg VSVG glycoprotein using Calcium-phosphate method in DMEM supplemented with 10% FCS in 10cm dishes. After 8h-12h transfection, cells were washed in PBS and fresh cell culture media containing DMEM with 10% FCS was added. Supernatants were harvested after 24h and 48h and filtrated through 0.22 mm filters. Human H4 neuroglioma were plated in 10cm-dishes and infected using 50% supernatant lentiviral particles and culture medium containing 8 μg/mL polybrene. After approximately 10 hours of incubation, cells were washed in PBS and medium was changed to fresh complete medium. Two days post-transduction, cells were placed into fresh complete medium containing 1 μg/mL puromycin for four days. Selection medium containing 1 μg/mL puromycin was changed every two days. Efficiency of the transduced cultures, i.e., percentage of GFP expressing cells was estimated using flow cytometry analysis (FACS), and gene knockdown was evaluated by quantitative PCR. After puromycin selection, cells were counted and plated at the density of 500 cells per well into 12-well plates.
RT-qPCR
Total RNA was extracted using RNeasy Mini Plus Kit (Qiagen, Hamburg, Germany) in accordance with the manufacturer’s instructions. Briefly, cell cultures were disrupted directly into the buffer RLT (Qiagen, Hamburg, Germany) supplemented with 10% β-mercaptoethanol (Sigma-Aldrich, Taufkirchen bei München, Germany). For RNA extraction from tissue, frozen tissues were placed into a tube containing a 5 mm stainless steel bead. Working on ice, 700μL of buffer RLT supplemented with 10% β-mercaptoethanol was added, and homogenisation was performed in a TissueLyser (Qiagen, Valencia, CA) at 30 Hz for 3 min. After RNA extraction, RNA concentration was measured using a nanodrop (ThermoScientific, Waltham, MA) and 1 μg of total RNA was used to synthesize cDNA using I-script reverse transcriptase (Bio-Rad Laboratories, München, Germany) containing oligo-dT primers and random primers. cDNA were then diluted 10 times and PCR analysis was performed on a Bio-Rad iCycler System using iQSYBR Green Supermix (Bio-Rad Laboratories, München, Germany). A specific standard curve was performed in parallel for each gene to assess the specificity of the products, for quantification of the respective transcripts in duplicate. PCR conditions were 3 min at 94°C, followed by 40 cycles of 45 s at 94°C and 10 s at 60°C. The relative level of each RNA was normalized to the two housekeeping genes polymerase (RNA) II polypeptide A (POLR2A II) and TATA box binding protein (TBP). These housekeeping genes have been thoroughly validated and turned out to be extremely stable in our previous studies 42, 56, 57. The CFX Manager™ Software was used to analyze our data. Briefly, relative quantification was achieved by calculating the ratio between the cycle number (Ct) at which the signal crossed a threshold set within the logarithmic phase of the gene of interest and that of genes used for normalization calculated by the relative quantity of the reference genes.
CNS- and RG-specific Ppargc1a transcripts were quantified using primers targeting CNS-specific exons B1 and B4 33 or exons 1 and 2, respectively. PGC-1β transcripts were quantified using PGC-1β-specific primers. Human primers: PGC-1α B1/B4: forward-TACAACTACGGCTCCTCCTGG, reverse-TACCCTTCATCCATGGGGCTC; PGC-1α Ex1/Ex2: forward-CTTGGGACATGTGCAGCCAAG, reverse-GCTGTCTGTATCCAAGTCAT; PGC-1 β: forward-AAATCTCAAGGGGAGCGTGG, reverse-AGATGCTCCAAGCCAATGCT; Polymerase II: forward-TTGTGCAGGACACACTCACA, reverse-CAGGAGGTTCATCACTTCACC; TBP: forward-CCCATGACTCCCATGACC, reverse-TTTACAACCAAGATTCACTGTGG; TFAM: forward-AAGCTCAGAACCCAGATGCAA, reverse-CAGGAAGTTCCCTCCAACGC; TFEB: forward-ACCCTGAGAGGGAGTTGGAT, reverse-GGCATCTGCATTTCAGGATT. Mouse primers: PGC-1α B1/B4: forward-TACAACTACGGCTCCTCCTGG, reverse-TACCCTTCATCCATGGGGCTC; PGC-1α: forward-AGAGTGTGCTGCTCTGGTTG, reverse-TTCCGATTGGTCGCTACACC; Polymerase II: forward-GCTGGGAGACATAGCACCA, reverse- TTACTCCCCTGCATGGTCTC; TBP: forward-GGCGGTTTGGCTAGGTTT, reverse-GGGTTATCTTCACACACCATGA.
A linear mixed effects model for estimating disease, age, gender and PMI effects
Similar to the method from Schlaudraff et al. 58 we have applied a linear mixed effects model analysis on our gene expression data. This allowed us to estimate possible confounding effects by covariates like age, gender and post-mortem interval (PMI). The following model was fit to the natural logarithm of relative expression data for RG-PGC-1α (formula in Wilkinson notation 59):
Herein the group effect represents control or PD and sex the gender (male or female). Random effects were introduced on the intercept to calibrate for differences between different batches of samples that were measured on different PCR-plates. The analysis was performed with the LinearMixedModel class of the Statistics Toolbox for Matlab V8.2 (The MathWorks, Inc., Natick, MA, USA) which fitted the model by likelihood maximization.
Western blotting
Cells or human brain tissue were lysed in RIPA buffer (150 mM NaCl, 1.0% IGEPAL, 0.5% sodium deoxycholate, 0.1% SDS, and 50 mM Tris, pH 8.0 and protease inhibitor cocktail 1 tablet/10 mL (Roche Diagnostics, Mannheim, Germany). Protein quantification was carried out using a BCA assay kit (ThermoScientific, Bonn, Germany). Equal amounts of soluble proteins were denatured by boiling, resolved by 9% sodium dodecyl sulfate polyacrylamide gel electrophoresis (SDS- PAGE). After transfer to nitrocellulose membrane (Protran, Schleicher and Schuell, Whatman GmbH, Dassel, Germany) membranes were blocked with 10% non-fat dry milk in TBS-T for 30 min at room temperature. Membranes were then incubated with primary antibodies (mouse anti-α-syn, 1:1000, BD Transduction, Heidelberg, Germany; mouse anti-actin: monoclonal, 1:500, cell signaling, Frankfurt am Main, Germany, home-made rabbit anti-PGC-1α, 1:500, Eurogentec, Köln, Germany) overnight at 4°C. After three 5–10 min TBS-T washes, membranes were incubated at room temperature for 1 hour with horse radish peroxidase (HRP)-conjugated secondary antibody (anti mouse; 1:10 000, Invitrogen, Freiburg, Germany). After three 5– 10 min TBS-T washes, immunoblots were analyzed using ECL chemiluminescent detection system (Amhersham/GE HealthCare, Buckinghamshire, UK). Densitometric quantification was performed using ImageJ software (http://rsb.info.nih.gov/ij/).
Autophagosome detection
The Premo Autophagy Sensor Kit (Invitrogen) was employed for autophagosome detection, according to the guidelines. Briefly, H4 cells were transfected with the indicated constructs using Superfect (Qiagen, Chatsworth, CA, USA) and 24hour after, they were transduced with BacMam LC3B-GFP with a multiplicity of infection (MOI) equal to 10, using 5×104 cells in 4-well Cell Culture Chambers (Sarstedt, Nümbrecht, Germany) for 24hours. An inverted fluorescence microscope (Axio observer-A1, Zeiss, Göttingen, Germany) was employed for live cells imaging using 60× magnification. Quantification of autophagosome was performed using the plugging ImageJ autocounter (http://rbsweb.nih.gov/ij/) as described previously 60.
Statistical analysis
Statistical comparisons were accomplished with the unpaired Mann–Whitney–Wilcoxon for comparison of two groups or ANOVA followed by the post hoc Tukey multiple comparisons test for multiple comparisons using PRISM version 6.0 software (GraphPad, San Diego, USA).
Results
Repression of PGC-1α in Parkinson’s disease patients, in vivo and in vitro models for synucleinopathies
Since PGC-1α dependent genes have been shown to be downregulated in the brains of PD patients 43, we asked whether the RG-PGC-1α itself and CNS-PGC-1α transcripts are regulated in PD. Real-time quantitative PCR (RT-qPCR) was performed in post-mortem tissue from the SN of PD patients and non-PD controls. Neuropathological diagnosis demonstrated the presence of Lewy body pathology in the SN (from patients with PD Braak stages 5 and 6; see material and methods section and Table 1). We found a reduced expression of the RG-PGC-1α by nearly 70% in the SN of PD patients (Fig 1A), whereas the CNS-PGC-1α was unchanged in the SN of PD patients (Fig 1B). Although control and PD samples were well matched with respect to age and post-mortem interval (PMI) with no significant differences (age: 72.2±3.76 vs. 74.5±1.45 years, p=0.930, PMI: 25.2±5.35 vs. 27.0±8.22 h for control and PD, respectively), a linear mixed effect model was fit to the data to further exclude possible additional confounding influences by these covariates as well as gender effects. The approach is based on Schlaudraff et al. 58 who have applied a linear mixed effects model for the analysis of single cell gene expression data. We were testing for effects on the relative expression values of RG-PGC-1α. Logarithmic transformation led to a distribution of the data that was closer to Gaussian distribution and therefore improved the fit but had no qualitative effect on the test results. Control versus PD was the only significant single effect (estimate=-0.97±0.340, p=0.011) indicating a down-regulation of RG-PGC1α in PD (Fig 2 and Supplementary Table 1). Furthermore, Western Blot analysis with a PGC-1α specific antibody that does not distinguish between RG- or CNS-PGC-1α confirmed a reduction of PGC-1α in SN of PD patients at the protein level (Fig 1C).
TABLE 1.
ID | gender | age | PMI [h] | co-morbidities, agonal factors | cause of death | PD Braak stage |
---|---|---|---|---|---|---|
PD #1 | m | 77 | 24 | dementia | myocardiac infarct | 5 |
PD #2 | m | 79 | 48 | depression, Binswanger’s disease | embolism of the arteries of the lungs | 6 |
PD #3 | m | 82 | 84 | no | broncopneumonia, sepsis | 5 |
PD #4 | m | 71 | 18 | dementia | broncopneumonia, sepsis | 5 |
PD #5 | m | 75 | 18 | dementia | broncopneumonia, sepsis | 5 |
PD #6 | m | 76 | 8 | dementia | coronary disease | 5 |
PD #7 | f | 68 | 20 | N/K | N/K | 5 |
PD #8 | f | 69 | n.k. | N/K | respiratory arrest due to high aspiration | 5 |
PD #9 | f | 71 | n.k. | N/K | N/K | 5 |
PD #10 | m | 77 | 19 | severe depression | respiratory arrest | 6 |
ID | gender | age | PMI [h] | co-morbidities, agonal factors | cause of death | PD Braak stage |
---|---|---|---|---|---|---|
Control #1 | m | 81 | 12 | no | N/K | N/A |
Control #2 | f | 91 | 6 | prior minor stroke | N/K | N/A |
Control #3 | f | 73 | 72 | no | N/K | N/A |
Control #4 | m | 92 | 8 | Binswanger’s disease | N/K | N/A |
Control #5 | m | 66 | 24 | no | sepsis after small intestine perforation | N/A |
Control #6 | m | 45 | 24 | no | myocardial infarct | N/A |
Control #7 | m | 46 | 29 | no | heart failure | N/A |
Control #8 | f | 73 | 24 | plasmocytome | not known | N/A |
Control #9 | m | 83 | 48 | arterial hypertension | myocardial infarct | N/A |
Control #10 | m | 62 | 12 | cancer | cirrhosis of the liver | N/A |
Control #11 | f | 80 | 24 | hypertonic arteriopathy | heart failure | N/A |
Control #12 | f | 73 | 19 | N/K | N/K | N/A |
Control #13 | f | 72 | n.k. | N/K | N/K | N/A |
Control #14 | f | 74 | n.k. | N/K | N/K | N/A |
The table summarizes the characteristics of PD patients and controls from Ulm University, University of California San Diego and Mayo Clinic Jacksonville who have come to post mortem. N/K= not known; N/A=not applicable, PMI=post mortem interval
To gain insight into the mechanisms underlying the PGC-1α deregulation in PD, we turned to a well characterized transgenic mouse model overexpressing the human PD associated A30P α-syn mutation 48, 49. Aggregation of α-syn is a major hallmark of PD and is recapitulated in the A30P α-syn mouse model by protease-K resistant α-syn fibrils mainly in the brain stem, midbrain and spinal cord 61. Interestingly, we found in the brainstem of A30P α-syn mice an age-dependent decline of RG-PGC-1α and CNS-PGC-1α levels starting at 6 or 3 month of age, respectively (Fig 1D, E). To correlate PGC-1α downregulation with α-syn aggregation, we also analyzed the cortices of these mice, where widespread expression of α-syn is present but there is no occurrence of fibrils. In contrast to the brainstem, where the decrease of RG-PGC-1α is already manifest at 6 months of age, RG-PGC-1α downregulation in the cortex of A30P α-syn mice starts at 15 months of age (Fig 1F) which might be related to a later onset of α-syn aggregation processes in this area. Also, for the CNS-PGC-1α isoforms, we noted a reduction in expression levels that occurred later in the cortices (6 month of age) than in the brainstem (3 month of age) (Fig 1G). Taken together, these results indicate an association between α-syn aggregation and PGC-1α downregulation.
To investigate if the presence of α-syn oligomers in cell culture has a direct effect on PGC-1α transcript levels, we expressed α-syn oligomers and quantified RG-PGC-1α and CNS-PGC-1α mRNA levels using qRT-PCR. To determine oligomeric α-syn inside cells, we used a protein-fragment complementation assay where α-syn was fused to non-bioluminescent N- or C-terminal fragments of Gaussia princeps luciferase (α-syn-hGLuc1 (S1) and α-syn-hGLuc2 (S2)) that reconstitute, when brought together by α-syn/α-syn interactions 53, 62. The (patho) physiological validity of the α-syn protein complementation system and its comparison with non-tagged wt α-syn using multiple methods was repeatedly shown before in previous studies 53, 54, 62–64. These constructs were used to infect wild-type primary cortical neurons with adeno-associated virus (AAV), encoding either S1 or S2. Interestingly, expression of both RG-PGC-1α and CNS-specific isoforms were decreased when α-syn oligomers are present (Fig 1H, I). A reduction of RG-PGC-1α was also detected in human neuroglioma cells H4 after co-transfection of S1 and S2 (Fig 1J). Of note, we did not observe a reduction in CNS-PGC-1α (Fig 1K) in H4 cells when co-transfected with S1 and S2, possibly because levels of CNS-PGC-1α in H4 neuroglioma cells were barely above background levels.
Collectively, RG-PGC-1α and CNS-PGC-1α deregulation in postmortem PD patient material, A30P-α-syn transgenic mice and in a cell culture models for α-syn oligomerization strongly support a link between α-syn oligomerization and deregulation of RG-PGC-1α and CNS-PGC-1α expression.
PGC-1α knockdown increases α-synuclein oligomerization
To directly link PGC-1α downregulation and α-syn oligomerization, we used lentiviral delivery of PGC-1α-shRNAs (shPGC-1α-A and ShPGC-1α-B) for reduction of both RG-PGC-1α and CNS-PGC-1α expression. We then co-transfected human H4 cells with S1/S2 constructs to measure α-syn oligomerization. Successful and specific downregulation of PGC-1α isoforms was confirmed by qRT-PCR (Fig 3 A–C) and Western blotting (Fig 3D). Interestingly, we found that RG-PGC-1α and CNS-PGC-1α silencing led to a 1.5 fold increase of α-syn oligomers (Fig 3E) while no significant differences in α-syn protein levels were detected (Fig 3F). Concurrently, knock down of PGC-1α isoforms also resulted in an increase of α-syn-mediated-toxicity (Fig 3 G, H).
To further validate the consequences of PGC-1α loss of function on α-syn oligomerization, we co-infected primary cortical neurons from both RG-PGC-1α deficient mice 52 and wild-type mice with AAV-S1 und AVV-S2 and observed 20% more α-syn oligomers in the RG-PGC-1α deficient primary neurons (Fig 4A). To exclude the possibility that the increase in α-syn oligomers is due to increased expression levels in S1 and S2 in the RG-PGC-1α KO condition we performed Western Blot analysis and detected comparable levels of S1 and S2 in both conditions (Fig 4B). However, no obvious increase in cytotoxicity was seen in the PGC-1α KO condition (data not shown). Together, these findings suggest that PGC-1α deficiency can promote α-syn oligomerization.
PGC-1α ameliorates α-synuclein oligomerization
Since we observed PGC-1α down-regulation in PD brains, in α-syn transgenic mice, and in a cell culture model for α-syn oligomerization, we asked whether overexpression of PGC-1α could rescue α-syn oligomerization. Indeed, we found that co-transfection of RG-PGC-1α together with S1 and S2 dramatically reduced α-syn oligomers by approximately 50% and 70% after 24h and 36h, respectively (Fig 5A). To ensure that PGC-1α is functionally active in our conditions, qRT-PCR for the RG-PGC-1α target genes TFAM and TFEB was performed. A significant induction of TFAM and TFEB, when PGC-1α was co-transfected together with S1/S2, confirmed functionally active RG-PGC-1α (Fig 6). The observed reduction in α-syn oligomers might partially be attributed to a small trend of PGC-1α affecting α-syn protein expression, as Western Blot analysis revealed slightly reduced α-syn protein levels after 24h and 36h in the RG-PGC-1α condition compared to myc-control transfected S1/S2 H4 cells (Fig 5B). PGC-1α has been previously reported to promote the elimination of huntingtin aggregates by activating transcription factor EB (TFEB), a master regulator of the autophagy-lysosome pathway (ALP) 31. To assess whether autophagy is involved in reduction of α-syn oligomers when PGC-1α is overexpressed, BacMam LC3B-GFP transduction was carried out. This system enables the expression of LC3B-GFP, ensuring efficient visualization of LC3 positive vesicles. LC3 staining was quantified using autophagy autocounter software, as published previously 60. When S1/S2 was overexpressed autophagy was reduced, however, RG-PGC-1α could rescue this effect by a strong upregulation of autophagy (Fig 5C, D), suggesting that α-syn oligomers are specifically reduced due to RG-PGC-1α mediated induction of autophagy. To determine whether RG-PGC-1α is capable to rescue α-syn mediated toxicity, we measured cell viability after S1/S2 and RG-PGC-1α co-transfection. Notably, RG-PGC-1α could rescue α-syn mediated derogation in cell viability (Fig 5E). To further support the idea that the ALP might contribute to RG-PGC-1α related reduction in α-syn oligomers, H4 cells were co-transfected with S1 and S2 together with RG-PGC-1α or myc control plasmid and treated with the ALP inhibitor bafilomycin A1 (BAF A1) or DMSO. The reduction of α-syn oligomerization due to RG-PGC-1α was mainly abolished under the ALP inhibitor BAF A1 compared to the DMSO control, suggesting that an intact ALP is necessary for a RG-PGC-1α related reduction in α-syn oligomers (Fig 5F).
Collectively, these data indicate that induction of RG-PGC-1α can reduce α-syn oligomerization and related α-syn mediated toxicities.
Pharmacological modulation of PGC-1α alters α-syn oligomerization
To further validate the effect of PGC-1α on α-syn oligomerization, we chose a pharmacological approach to modulate PGC-1α activation. Resveratrol and AICAR have been described as potent PGC-1α activators 65, 66. Resveratrol activates PGC-1α through the upstream activators, Sirtuin1 and AMPK 65, 67, 68, and AICAR activates PGC-1α by promoting AMPK-mediated phosphorylation 69, 70. We found that both resveratrol and AICAR treatments resulted in a robust decrease of α-syn oligomers after 24h treatment in S1/S2 transfected H4 cells (Fig 7A). In contrast to PGC-1α activation, treatment with the PGC-1α inhibitor compound C, which inhibits the upstream-PGC-1α activator AMPK 71, strongly promoted α-syn oligomerization (Fig 7B) without changes into S1/S2 protein contents (Fig 7C). Concurrently, we observed a reduction in cytotoxicity by resveratrol and AICAR treatment compared to DMSO control (Fig. 7D). To test, if resveratrol and AICAR reduce α-syn oligomerization truly via PGC-1α, we downregulated PGC-1α by lentiviral delivery of PGC-1α-shRNAs (shPGC-1α-A and ShPGC-1α-B) in H4 cells. We then co-transfected H4 cells with S1/S2 and treated them with resveratrol, AICAR or DMSO control. In contrast to application of scramble lenti-virus, silencing of RG-PGC-1α and CNS-PGC-1α abrogated the α-syn oligomer reducing effect of resveratrol and AICAR thus verifying that resveratrol and AICAR do not reduce α-syn oligomers in PGC-1α deficient cells (Fig. 7E).
Since resveratrol had the strongest effect on α-syn oligomer reduction in our experimental setting, we asked whether this reduction evolves over time, and thus treated S1/S2 transfected H4 cells for different time periods. Indeed, a small reduction in α-syn oligomers was found already after 6h resveratrol treatment, which progressed further over time (Fig 8A). Next we examined whether the reduction of α-syn oligomers depends on the concentration of resveratrol. Luciferase assays verified a dose-dependent decrease of α-syn oligomers under resveratrol treatment (Fig 8B). Thus, reduction of α-syn oligomers by resveratrol occurs in a time and dose dependent manner. Together, PGC-1α overexpression or PGC-1α pharmacological activation is capable to reduce α-syn oligomerization.
RG-PGC-1α deficient neurons are more vulnerable to extracellular α-syn oligomers
We and others have previously shown that exogenous addition of α-syn oligomers can induce Lewy body like pathology and related toxicities 8, 72–74. Cell to cell transmission of pathological α-syn and spreading of α-syn pathology has been demonstrated in a number of studies 75, 76,77,1. To determine whether RG-PGC-1α deficient cells are more vulnerable to exogenous addition of α-syn oligomers, we treated primary neurons from WT or RG-PGC-1α deficient mice with conditioned media (CM), either containing α-syn oligomers S1/S2 or CM from mock transfected H4 cells. After 2 or 3 days incubation, we measured luciferase activity indicative of α-syn oligomers inside primary neurons. Strikingly, we found that RG-PGC-1α deficient neurons had remarkably higher levels of α-syn oligomers compared to neurons from wild-type mice after 72h incubation (Fig 9C) with a trend visible already after 24h (Fig 9A), suggesting RG-PGC-1α deficient cells are less capable to handle α-syn oligomers. Interestingly, in RG-PGC-1α deficient cells, we saw a strong increase in toxicity when treated with CM containing α-syn oligomers compared to wildtype neurons indicating a higher vulnerability of RG-PGC-1α deficient neurons to extracellular α-syn oligomer mediated toxicity (Fig 9 B, D). Thus, RG-PGC-1α deficiency potently exacerbates extracellular α-syn oligomer mediated toxicity.
Discussion
The present study provides the first direct evidence that PGC-1α deregulation and α-syn aggregation might form a vicious circle influencing and potentiating each other: PGC-1α reduces α-syn oligomerization and ameliorates α-syn mediated toxicity. In contrast, α-syn oligomerization is increased in RG- PGC-1α deficient neurons and neuroglioma cells where PGC-1α is knocked down via PGC-1α-shRNAs. Moreover, PGC-1α appears to be deregulated in human PD brain, in α-syn transgenic mice, and in an in vitro cell culture model for α-syn oligomerization further strengthening the idea that PGC-1α deregulation influences α-syn oligomer mediated toxicity and vice versa. Finally, we found that RG-PGC-1α deficient neurons are more vulnerable for extracellular α-syn oligomer mediated toxicity.
PGC-1α has been found to be widely expressed in the brain 78. Recent studies highlight the importance of tightly controlling the expression levels of PGC-1α. Non-physiological overexpression of PGC-1α in dopaminergic neurons induces degeneration of dopaminergic neurons in the rat nigro-striatal system 44. Cardiac overexpression of PGC-1α causes severe abnormalities in the myocyte architecture due to extensive mitochondrial proliferation 79, 80. In the skeletal muscle, PGC-1α overexpression enhances not only mitochondrial biogenesis but also respiration uncoupling, leading to muscle atrophy 81. In contrast, PGC-1α expression within physiological level improves insulin sensitivity in skeletal muscle 82. Our study further underlines a critical need for maintaining physiological levels of PGC-1α activity. In contrast to excessive levels of PGC-1α, underexpression of PGC-1α might have detrimental effects on neuronal survival. We found reduced expression of RG- PGC-1α in the SN of PD patients compared to non-PD controls. Since RG- PGC-1α transcript levels were normalized to housekeeping genes POLR2A and TBP it is not likely that the reduction in RG- PGC-1α levels is solely due to neuronal loss in the SN of PD patients. The downregulation of RG-PGC-1α is completely associated with the presence of PD. Especially age and gender did not engage any relevant statistical influence on the expression level in our RG-PGC-1α data as we could demonstrate by the application of a linear mixed effects model. Interestingly, primary neuronal cultures showed reduced levels of both RG-PGC-1α and CNS-PGC-1α when α-syn oligomers were overexpressed. Our results are also in accordance with a prior study, demonstrating that genes expressed in response to PGC-1α are underexpressed in PD patients 43. Moreover, in a transgenic mouse model overexpressing human A30P α-syn, which does not display nigral cell loss49–51, 83, we demonstrated a down regulation of both RG-PGC-1α and CNS PGC-1α in the brainstem of transgenic mice overexpressing human A30P α-syn compared to wild-type mice, at early time points. In contrast, in the cortices of α-syn transgenic mice where widespread expression of α-syn is present, but no occurrence of pathogenic fibrils 61 RG-PGC-1α and CNS PGC-1α were deregulated at later time points indicating a link between α-syn aggregation and PGC-1α deregulation. Most importantly, down-regulation of RG-PGC-1α and CNS-PGC-1α could be modeled in cell culture using lentiviral vectors encoding small hairpin RNA directed against PGC-1α, leading to a strong induction of α-syn oligomerization and a subsequent increase in toxicity. Moreover, also neurons of RG-PGC-1α deficient mice displayed increased oligomerization of α-syn, collectively, pointing to a direct pathophysiological consequence of PGC-1α underexpression on increased α-syn oligomerization. We speculate that insufficient function or underexpression of RG- or CNS-PGC-1α might predispose to α-syn aggregation, and could therefore be a potential risk factor for PD. Vice versa it is also possible that increased ROS production during aging leads to increased α-syn aggregation with a resulting downregulation of RG- or CNS-PGC-1α, which might further promote α-syn aggregation and toxicity.
Along the same line of evidence, a direct action of α-syn on the PGC-1α promoter has been reported, leading to PGC-1α repression 46. An intriguing possibility would be that α-syn aggregates or oligomers bind more effectively to the promoter of PGC-1α than non-aggregated α-syn, thereby explaining the earlier down-regulation of different PGC-1α forms in the brainstem of transgenic A30P α-syn mice that is mostly and earliest affected by α-syn aggregates. Interestingly, also in HD downregulation of PGC-1α has been observed in human HD brain and in mouse striatum 55. Several studies reported downregulation of PGC-1α mRNA with mutant huntingtin implicated in the transcription of PGC-1α 30, 84–87, whereas pharmacologic/transcriptional activation of PGC-1α had beneficial effects in models of HD 88–90.
Furthermore, in PD downregulation of the master regulator of mitochondrial biogenesis PGC-1α might be connected to the well characterized mitochondrial dysfunction observed in PD patients and respective experimental models 18, 20, 91–95. Together, PGC-1α deregulation and α-syn aggregation are clearly negatively influencing each other which might also occur in the brains of PD patients leading to a vicious circle and potentially contribute to the etiology of PD.
In addition to our findings on PGC-1α deregulation on a transcriptional level, we also investigated whether restoration of PGC-1α function using both genetic and pharmacological approaches could rescue α-syn oligomerization and related toxicities. We found that RG-PGC-1α is capable of reducing α-syn oligomers and related toxicity. These results are in accordance with previous studies describing PGC-1α to be protective in the context of PD: PGC-1α increases the survival of neurons overexpressing the mutated A53T α-syn 47 and in the MPTP mouse model 96. Furthermore, the repression of PGC-1α by PARIS kills dopaminergic neurons in vivo, and its reactivation prevents this loss 45. Several mechanisms could underlie the observed protective effect of PGC-1α on α-syn oligomerization and toxicity. First, amelioration of mitochondrial function and reduction of ROS by PGC-1α could be beneficial, concerning α-syn-mediated toxicity, since overexpression of wild-type or mutant α-syn increases the rate of intracellular ROS 97, 98. PGC-1α has already been shown to regulate the expression of ROS-detoxifying enzymes such as SOD2 and Gpx 30. Thus, a direct effect of PGC-1α on ROS metabolism could explain the protective effect on α-syn-mediated toxicity. Second, beneficial effects of PGC-1α could be restoration of the PGC-1α target genes such as the subunits of complex I to V of the mitochondrial electron chain transport, genes involved in oxidative phosphorylation and mitochondrial biogenesis that are reduced in PD patients 43. A third explanation for a protective effect of PGC-1α on α-syn oligomerization and toxicity might be through activation of the ALP. A recent study emphasized a role for PGC-1α in the elimination of huntingtin aggregation by activating the transcription factor EB (TFEB), a master regulator of the ALP 31. PGC-1α transactivation resulted in an enhanced ALP activity through the activation of TFEB. In our cell culture experiments, we observed an increase of the LC3 positive vesicles when PGC-1α is overexpressed together with αsyn. This increase of LC3 positive vesicles was accompanied by a decrease of αsyn oligomers. This reduction of α-syn oligomers could only be observed in cells with an intact ALP since treatment with ALP inhibitor BAF A1 abolished this effect. These results suggest that autophagy might be one potential, although possibly not the only mechanism involved in the PGC-1α dependent reduction of α-syn oligomers.
Furthermore, in midbrain dopamine neurons, TFEB activation has been shown to be directly inhibited by α-syn via blockage of nuclear translocation of TFEB leading to inhibition of the ALP 99. However, the exact role of autophagy in this process warrants further investigation.
In conclusion, this study suggests that PGC-1α can ameliorate α-syn oligomerization and related toxicities. Insufficient function or underexpression of RG- or CNS-PGC-1α in the PD brain might accelerate α-syn oligomerization and contribute to neurodegenerative disease. Restoration of PGC-1α function might thus be a novel approach for the development of effective drugs for the treatment of PD and related synucleinopathies.
Supplementary Material
Acknowledgments
The excellent technical assistance of Ramona Langohr, Franziska Bachhuber and Kevin Letscher is gratefully acknowledged. This research was supported by funds from the Baustein Program Medical Faculty Ulm University (KMD, JE), the Virtual Helmholtz Institute “RNA dysmetabolism in ALS and FTD” of the DZNE (HB, AW, PW), Charcot Foundation (ACL, JHW), Alzheimer Forschung Initiative #13803 (DRT), BMBF (NGFN 01GS08134) (BL) and the FWF/DFG (LI 1745)(BL) and the National Institutes of Health (RO1-NS073740 to P.J.M and R01 NS065874 to A.R.L.).
Footnotes
Potential Conflict of Interest
The authors declare no direct conflicts of interests in the results of this research.
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