Abstract
Mitochondrial dysfunction is a central aspect of Parkinson’s disease (PD) pathology, yet the underlying mechanisms are not fully understood. This study investigates the link between α-Synuclein (α-Syn) pathology and the loss of translocase of the outer mitochondrial membrane 40 (TOM40), unraveling its implications for mitochondrial dysfunctions in neurons. We discovered that TOM40 protein depletion occurs in the brains of patients with Guam Parkinsonism Dementia (Guam PD) and cultured neurons expressing α-Syn proteinopathy, notably, without corresponding changes in TOM40 mRNA levels. Cultured neurons expressing α-Syn mutants, with or without a mitochondria-targeting signal (MTS) underscore the role of α-Syn’s mitochondrial localization in inducing TOM40 degradation. Parkinson’s Disease related etiological factors, such as 6-hydroxy dopamine or ROS/metal ions stress, which promote α-Syn oligomerization, exacerbate TOM40 depletion in PD patient-derived cells with SNCA gene triplication. Although α-Syn interacts with both TOM40 and TOM20 in the outer mitochondrial membrane, degradation is selective for TOM40, which occurs via the ubiquitin-proteasome system (UPS) pathway. Our comprehensive analyses using Seahorse technology, mitochondrial DNA sequencing, and damage assessments, demonstrate that mutant α-Syn-induced TOM40 loss results in mitochondrial dysfunction, characterized by reduced membrane potential, accumulation of mtDNA damage, deletion/insertion mutations, and altered oxygen consumption rates. Notably, ectopic supplementation of TOM40 or reducing pathological forms of α-Syn using ADP-ribosylation inhibitors ameliorate these mitochondrial defects, suggesting potential therapeutic avenues. In conclusion, our findings provide crucial mechanistic insights into how α-Syn accumulation leads to TOM40 degradation and mitochondrial dysfunction, offering insights for targeted interventions to alleviate mitochondrial defects in PD.
Keywords: Parkinson’s disease, Alpha-Synuclein, Mitochondrial dyfunction, TOM40, DNA damage
Introduction
Parkinson’s disease (PD) is characterized by the accumulation of alpha-Synuclein (α-Syn) protein aggregates and mitochondrial dysfunction in vulnerable dopaminergic neurons1,2. Despite significant research, the sequence and nature of the bidirectional interaction between α-Syn accumulation and mitochondrial dysfunction are not fully understood. Emerging evidence suggests that α-Syn’s translocation into mitochondria disrupts key mitochondrial processes observed in PD patients2,3,4. For instance, dopaminergic neurons overexpressing mutant A53T α-Syn exhibit mitochondrial complex I deficiency akin to that seen in the substantia nigra of PD patients, resulting in the overproduction of mitochondrial reactive oxygen species (mtROS)5,6,7. Potential pathological consequences of mtROS build-up include mitochondrial DNA (mtDNA) damage, a signature of mitochondrial dysfunction in PD8,9,10. We and others have demonstrated that α-Syn expression induces strand breaks in the neuronal genome and its misfolding and oligomerization heighten its DNA-nicking activity11,12. However, the exact mechanism by which mtDNA damage accrues in association with α-Syn aggregation in PD-affected neurons remains largely unexplored.
The translocases of the outer mitochondrial membrane (TOM) complex, crucial for the import of more than 90% of the 1136 nuclear-encoded proteins that compose the mitochondrial proteome, are important for maintaining normal organelle physiology13,14,15,16 The TOM complex consists of the channel-forming (β-barrel protein TOM40, three receptor proteins (TOM20, TOM22, and TOM70), and three small regulatory subunits17. The import process involves TOM20 recognizing the precursor protein mitochondrial targeting sequence, coordinating with TOM22 or TOM70, and cytosolic chaperones from the Hsp90 and Hsp70 classes18. The preprotein then traverses the TOM40 channel, reaching the translocase of the inner mitochondrial membrane (TIM23), essential for subsequent cleavage and maturation processes18. Notably, among the seven components of the TOM complex, TOM40 stands out as the sole essential component for cell viability and is responsible for translocating intermembrane space proteins without requiring the TOM receptor domains19,20,21. Consequently, any deficit in TOM40 adversely affects preprotein import, disrupting mitochondrial homeostasis and neuronal viability.
TOM40 polymorphisms have been associated with an increased risk of Alzheimer’s disease in different populations, and changes in non-pathological aging-related factors, like changes in brain integrity, body mass index, and cognitive function22,23,24,25. In the context of PD, while TOM40 single nucleotide polymorphisms (SNPs) like TOM40 ‘523’ may not predict Parkinson’s disease risk, it could serve as a genetic marker for the age of symptom onset in PD26. However, altered levels or activities of the TOM complex proteins are evident in human brain tissues from PD patients and relevant animal and cellular models27,28,29. Specifically, α-Syn accumulation is linked to reduced TOM40 protein levels and impaired interaction between TOM20 and TOM2227,28. Despite ample evidence linking TOM40 dysregulation to α-Syn accumulation in PD, the cellular pathways responsible for this dysregulation remain unclear.
The inhibition of Poly (ADP-ribose) polymerase (PARP), a nuclear enzyme involved in DNA repair, has emerged as a promising therapeutic avenue to reduce inflammation and oxidative stress, both of which are implicated in the pathogenesis of neurodegenerative disorders30. In conditions associated with α-Syn toxicity, increased DNA damage activate PARP excessively, leading to the overproduction of poly(ADP-ribose) (PAR) chains. This heightened PARylation does not only impact cellular energy balance and genomic stability but also accelerates α-Syn aggregation31,32. Recent studies have established that PARP inhibition reduce the formation of α-Syn aggregates, potentially through the modulation of autophagy and the clearance of misfolded proteins31,33. By mitigating α-Syn aggregation, PARP inhibition may contribute to reducing neurotoxicity associated with these aggregates.
Here we investigated the regulatory mechanisms by which the presence of α-Syn influences TOM40 protein degradation and its connection with mtDNA damage. We used Guam Parkinsonism Dementia (Guam PD) and Guam Amyotrophic Lateral Sclerosis (Guam ALS) and Guam non-neurological Control (Guam Control) post-mortem brain tissue and stable cell lines expressing different α-Syn variants. Our findings reveal a unique aspect of α-Syn’s impact on mitochondrial function, with pathological, oligomeric forms of α-Syn promoting TOM40 degradation independently of transcriptional changes, as evidenced by stable T0M40 mRNA levels. We also found that while moderate ectopic expression of T0M40 can mitigate the loss of TOM40, ADP-ribosylation inhibitors significantly decreased TOM40 loss while reducing pathological forms of α-Syn using and improving cell survival. Our findings offer vital mechanistic insights into the causal relationship between α-Syn accumulation leading to TOM40 loss, and subsequent mitochondrial dysfunction. These insights hold the potential to inform the development of targeted strategies aimed at alleviating mitochondrial defects in Parkinson’s Disease.
Materials and Methods
Protein extraction and immunoblotting
Whole-cell protein extracts were obtained by harvesting cells in ice-cold PBS and lysing them with STEN lysis buffer (50 mM Tris-HCl, pH 7.6; 150 mM NaCl; 0.1 % SDS; 1 % Nonidet P-40; 2 mM EDTA; and protease inhibitor cocktail) on ice for 20 minutes. Human brain tissue samples (Guam ALS, Guam PD and Guam control) were obtained from the Binghamton University Biorepository Archive34 (Guam ALS, Guam PD and Guam-control brain tissues, Supplementary Table 1). These samples were homogenized as we previously described35.
SDS-PAGE gel electrophoresis was performed according to a standard protocol described36,37. Protein samples for SDS-PAGE were prepared by diluting them with their respective lysis buffers and adding 4× NuPAGE LDS sample buffer. Unless otherwise specified, 20 μg protein was loaded per lane on a NuPAGE 4–12% Bis-Tris gel. Electrophoresis was carried out using NuPAGE MES-SDS running buffer, as described11. Membranes were then incubated with primary antibody (Supplementary Table 2) diluted in 1% skim milk in TBS-T for 1 hour at RT or overnight at 4°C. Membranes were washed in 1× TBS-T, then incubated with secondary antibody for 1 hour at RT. Detection was performed using WesternSure PREMIUM Chemiluminescent Substrate (Licor, USA).
Real Time-PCR analysis for mRNA quantitation
Total RNA was extracted using the RNeasy Mini Kit (Qiagen74104, Germany) following the manufacturer’s protocol. For cDNA synthesis, two micrograms of isolated RNA from cells were employed in a 20 μL reaction with the superscript III reverse transcriptase kit (Thermo Fisher 18080-044, USA). TOM40, TOM20 and α-Syn in the samples was assessed through SYBR GREEN-based Real-Time PCR, using the 7000 Real-Time PCR System (Applied Biosystems). The process used SYBR Premix Ex Taq (TaKaRa) and gene-specific primers, which are detailed in Supplementary Table 3. The data were expressed as fold change in mRNA expression relative to the reference samples, set to a baseline value of one. This quantification was determined using the 2−ΔΔCT method38.
Human iPSC culture and generation of neural progenitor stem cells (NPSCs)
The control induced pluripotent stem cell (iPSC) line KYOU-DXR0109B (201B7) was obtained from the American Type Culture Collection (ATCC). The cells were cultured at 37°C and 5% C02 in dishes coated with CellMatrix basement membrane gel (ATCC ACS-3035, USA) and maintained in Essential eight medium (E8M; Thermo Fisher A1517001, USA).
The PD patient-derived iPSC line with α-Syn SNCA gene triplication (SNCA-tri), designated ND34391*H, was sourced from the CORIELL Institute cell repository. Initially, SNCA-tri iPSCs were cultivated in 0.1 % gelatin-coated 6-well plates with γ-irradiated CF-1 mouse embryonic fibroblasts and DMEM/F12 20% knock-out serum replacement media (Thermo-Fisher 11330-032,10829018, USA). At passage three, SNCA-tri iPSCs were transitioned to a feeder-free system, growing in dishes coated with CellMatrix.
Neural progenitor stem cells (NPSCs) were derived from both the control and SNCA-tri iPSC lines using PSC neural induction medium (Thermo Fisher A1647801, USA) following the manufacturer’s instructions and the protocol explained earlier11.
Plasmid constructs
Construction of pCW WT-α-Syn-Flag Expression Vector: The doxycycline (Dox) inducible mammalian pCW WT-α-Syn-Flag expression vector was created by inserting the full-length α-Syn, amplified from the pcDNA WT-α-Syn plasmid using DeepVent DNA polymerase (NEB-LABS M0258, USA) and CW WT α-Syn-FLAG F/R primer pair. This fragment was then cloned into the pCW-Cas9 vector (a generous gift from Eric Lander and David Sabatini, Addgene plasmid 50661) at 5’-Nhel and 3’-blunt-ended sites. The pCW-Cas9 vector was initially digested with BamHI (NEB-LABS R0136, USA), treated with Klenow fragment (DNA polymerase I, large; NEB-LABS M0210, USA) to generate a blunt-ended vector backbone, and subsequently digested with NheI (NEB-LABS R0131, USA).
Construction of pCW Δ1–33-α-Syn-Flag Expression Vector: The Dox inducible truncated α-Syn expression vector (pCW-FLAG-Δ1–33-α-Syn) was generated using a similar approach to the WT-α-Syn-Flag vector. The construction utilized the primer pair pCW Δ1–33 α-Syn FLAG F/R.
Construction of Mitochondria-Targeted α-Syn (MTS) Expression Vector: The mitochondria-targeted α-Syn (MTS) expression vector (pCWMTS-α-Syn-Flag expression vector) was produced using a two-step cloning strategy. Initially, a synthetic MTS duplex DNA was created by annealing MTS sense and antisense oligos with sticky ends corresponding to 5’ Xbal and 3’ NcoI sites. Subsequently, the full-length α-Syn coding sequence (cds) was amplified from the pcDNA Syn vector using the Nco F /Sal R primer pair. The pLenti CMV GFP vector (pLenti CMV GFP Blast (659-1), a gift from Eric Campeau and Paul Kaufman, Addgene plasmid # 17445) was digested at XbaI-SalI sites to remove the GFP cds. A tripartite ligation was then performed by combining the pLenti CMV vector backbone, MTS duplex oligo, and α-Syn cds to yield pLenti CMV MTS-α-Syn construct. Finally, MTS-α-Syn cds were amplified using CW MTS-α-Syn forward and reverse primers from this intermediate plasmid pLenti CMV MTS-α-Syn and cloned to the pCW vector, similar to the WT clone. The primer sequences utilized for these constructs are detailed in Supplementary Table 4. All sub-clones and final clones were sequence-verified at least twice before expression in mammalian cell lines.
Cell culture and treatments
SH-SY5Y neuroblastoma cells were maintained in Dulbecco’s Modified Eagle’s Medium (DMEM) supplemented with 10% fetal bovine serum and 1% penicillin/streptomycin. Transfection of SH-SY5Y cells with Dox-inducible plasmids was carried out using Lipofectamine 2000 (Invitrogen), following the manufacturer’s guidelines. Post-transfection, cells underwent selection against the antibiotic puromycin (InvivoGen, USA) at a concentration of 10 μg/mL. Cells were then cultured in Neurobasal medium (Gibco) supplemented with B-27,1X Glutamax (Gibco), and 1% penicillin/streptomycin (Corning) containing 10 uM retinoic acid (RA) for seven days to induce neuronal differentiation. To achieve optimal α-Syn expression induction, cells were exposed to Dox at a concentration of 5 μg/mL for varying durations (0, 24,48, or 72 hours), resulting in a substantial two to three-fold increase in total α-Syn levels compared to the baseline.
We evaluated neurotoxicant factors known to promote α-Syn aggregation by treating two cell models: control, or SNCA-tri NPSCs and α-Syn expressing SH-SY5Y cells. These cells were subjected to a 24-hour treatment with media supplemented with either 10 μM Rotenone (Sigma R8875), 10 μM 6-hydroxydopamine hydrobromide (6OHDA, Sigma 162957, USA), 50 μM FeSO4 (Sigma F8048), and 50 μM FeCl3 (Sigma F7131). Additionally, cells were exposed to 50 nM glucose oxidase (GO) (Sigma G3660-1CAP) for 30 minutes, followed by media replacement and a one-hour recovery period before cell harvest. To investigate the role of poly (ADP-ribose) polymerase (PARP) in the context of 6OHDA-induced α-Syn aggregation, cells were treated with 10 μM Veliparib, a PARP inhibitor, following the removal of 6OHDA-containing media. This treatment lasted for 24 hours before subsequent analyses.
To investigate which protein quality control pathway is involved in TOM40 degradation, we exposed α-Syn expressing SH-SY5Y cells to specific inhibitors targeting these pathways, as illustrated in Fig. 4A. Prior to inducing α-Syn expression, cells were pre-treated for 24 hours with the following inhibitors: 1 μM MG132 (Sigma, M8699) to inhibit the UPS pathway; 0.25 nM bafilomycin A (BafA1, Sigma 131793) to retain MDVs within the cytosol before delivery to the lysosome; alternatively, 2.0 μM Pepstastin A (Sigma 516481-M) and 2.0 μM E64d (Sigma E8640) lysosomal hydrolase inhibitors allowing MDVs to reach the lysosomes but preventing protein degradation; and the mitochondrial division inhibitor 2.0 μM Mdivi-1 (Sigma M0199) to inhibit mitophagy.
Figure 4. Involvement of the ubiquitin-proteasome pathway in α-Syn-induced TOM40 loss.
A. Schematic diagram depicting the different inhibitors used to test potential mitochondrial quality control pathways involved in TOM40 loss (created with BioRender.com). B. Immunoblot of WT α-Syn cells pre-treated for 24 hours with different inhibitors followed by 48 hours of induced a-Syn expression. Densitometry analysis shows MG132 treated a-Syn cells present high TOM40 levels (Ln 3, red arrow). Data was analyzed by one way ANOVA.
Immunofluorescence (IF)
The pCW-FLAG-α-Syn transduced SH-SY5Y cells were cultured on 8-well chamber slides. For iPSCs and NPSCs, the chamber slides were pre-coated with Matrigel and Geltrex, respectively to facilitate adherence. Fixation of the cells for IF analysis was performed by replacing the media with a 1:1 ratio mixture of fresh media and 8% paraformaldehyde (PFA) in PBS, resulting in a final concentration of 4% PFA. Post-fixation, the slides were permeabilized using 0.2% Triton X-100 in 1X PBS, followed by blocking with 5% Goat Serum-TBS-T (1× TBS with 0.1% Tween-20) to prevent non-specific antibody binding. The cells were then incubated overnight at 4°C with primary antibodies (Supplementary Table 2). Following this step, Alexa Fluor 488 (green) and 647 (red)-conjugated secondary antibodies (Thermo Fisher, USA) were incubated for 1 hour, and slides were then mounted with coverslips after applying DAPI-containing mounting media (Sigma-Aldrich, USA) to visualize the nuclei. Imaging was performed using a Zeiss Axio Observer 7 microscope or an Olympus Flouview3000 confocal microscope.
Proximity ligation assay (PLA)
PLA was conducted to investigate direct protein-protein interactions within cells. Approximately 20,000 cells were seeded per well in 8-well chamber slides for this experiment. Following the designated treatments, cells were stained with 50 nM MitoTracker Red CMXRos (Thermo Fisher Scientific, USA) for 15 minutes under standard culturing conditions. After staining, cells underwent a washing step, and were then fixed with 4% PFA for 15 minutes at room temperature (RT). Subsequent steps included permeabilization in 0.2% Triton X-100 in 1X PBS for 10 minutes at RT, followed by PBS washing to remove any residual permeabilization agent. The in-situ PLA experiment was performed per the manufacturer’s guidelines, using the DuoLink kit (Sigma-Aldrich, USA). The primary antibodies used for the PLA are detailed in Supplementary Table 2. After the PLA procedure, coverslips were mounted using DAPI mounting media (Sigma-Aldrich, USA), and imaging was performed using either a Zeiss Axio Observer 7 microscope or an Olympus Flouview3000 confocal microscope.
Mitochondria protein extraction
Mitochondrial protein isolation was performed using the differential centrifugation method as described in previous studies39,40. All procedures were conducted at 4°C or on ice to preserve mitochondrial integrity. Cells were first harvested and then homogenized in STM buffer (comprising 250 mM Sucrose, 50 mM Tris-HCl at pH 7.4, 5 mM MgCl2, and a protease inhibitor cocktail) using a Glas-Col homogenizer set to 700–1000 rpm. The resulting homogenate was transferred to a centrifuge tube and incubated on ice for 30 minutes before centrifugation at 800 g for 15 minutes. The supernatant was collected and subjected to an additional centrifugation step to separate mitochondrial and cytosolic fractions. Further centrifugation of the supernatant at 11,000 g for 15 minutes yielded a mitochondrial pellet, while the remaining supernatant contained the cytosolic fraction. The mitochondrial pellet was washed and re-centrifuged in STM buffer at 11,000 g for 10 minutes. Following this, the pellet was suspended in 1X RIPA buffer (50 mM Tris HCl pH 6.8,1 mM EDTA, 0.5% Triton-x-100, and a protease inhibitor cocktail). The lysed mitochondrial fraction was then centrifuged at 15,700 g for 15 minutes to remove any residual material.
MTT cell viability assay
Conditionally expressing WT α-Syn SH-SY5Y cells and NPSCs were seeded in triplicate in a 96-well plate (Corning, NY), with the latter coated with Geltrex. Induction of WT α-Syn expression was carried out for 48 hours with Dox. NPSCs were subjected to a 24-hour treatment with 10 μM 6OHDA, followed by a media change to either fresh media alone or media containing 10 μM Veliparib, a PARP inhibitor (PARPi) (MEDChemExpress, HY-10129, USA). The MTT assay was then performed following the manufacturer’s instructions provided by Trevigen (Gaithersburg, USA). In brief, 10 μM of MTT reagent was added to each well, and the plates were incubated for 2 to 4 hours, allowing for formation of visible purple formazan crystals. Subsequently, 100 μl of detergent reagent was added to dissolve the crystals. After an additional 2 to 4 hours incubation, the absorbance at 570 nm was measured using a microplate reader.
Mitochondrial membrane potential (MMP) integrity assay
The MMP integrity of conditionally expressing WT α-Syn SH-SY5Y cells was assessed using the TMRE mitochondrial membrane potential assay kit (abcam ab113852, USA) per the manufacturer’s guidelines. In brief, 20,000 cells were seeded per well in a black clear bottom 96-well plate (Corning 3603, USA). Upon adherence, cells were treated with Dox for 48 hours to induce WT α-Syn expression. Subsequently, media containing TMRE was added to the existing media, reaching a final concentration of 750 nM. The cells were incubated with TMRE for 35 minutes, allowing the dye to accumulate in mitochondria with intact membrane potentials. Following a single wash with 1X PBS, complete DMEM-F12 media without phenol red was added to the cells. The measurement of TMRE fluorescence, indicating mitochondrial membrane potential (MMP) integrity, was conducted at Ex/Em = 549/575 nm using a TECAN Infinite M1000 microplate reader.
Oxygen consumption rate (OCR) determination using Seahorse
To assess changes in mitochondrial respiration function, the OCR was determined in Dox-inducible WT-α-Syn SH-SY5Y cell lines with and without TOM40 expression supplementation. One cell batch was infected with TOM40 Lv-C-Flag-SV40-eGFP (GeneCopoeia EX-Z2017-Lv203) 72 hours before seeding on XFe96-well microplates (25,000 cells/well). The XFe96 analyzer from Seahorse Bioscience (Agilent Technologies, Waldbronn, Germany) was used to analyze changes in mitochondrial respiration function by performing a Mito Stress Test protocol41, which is designed to analyze mitochondrial respiration function.
Mitochondrial long amplification PCR (LA-PCR) based genome integrity analysis
Genomic DNA was extracted from cell lines and tissue samples using the Qiagen Blood and Tissue kit, following the manufacturers protocol. LA-PCR was performed using LongAmp Taq DNA polymerase (NEB) and two sets of primers listed in Supplementary Table 5, each designed to amplify a span of approximately 10 kb within the mitochondrial genome. Primer sets mtLA 5999–1481 and mtLA 179–9231 were employed for cell and tissue samples, respectively, while primer set 7601–16401 was utilized for both types of samples. PCR was performed at 94 °C for 2 minutes followed by 27 cycles at 94°C for 30 s, 58°C (mtLA 5999–1481) or 53°C(mtLA 7601–16401,179–9231) for 30s, and 65°C for 9 minutes, and a final elongation step 65°Cfor 13 minutes.
Additionally, a control PCR amplification targeting a shorter 250 bp segment of the human ND1 gene was also conducted. Following the PCR amplifications, the long amplicon products were separated on a 0.8% agarose gel whereas the short amplicon products were separated on a 2% agarose gel. For independent quantitation of the amplified DNA, Quant-iT PicoGreen (Invitrogen P7589, USA) fluorescence measurements were utilized to enable accurate quantification of double-stranded DNA in solution.
Mitochondrial DNA NGS sequencing using REPLI-g
The mtDNA genome from WT-α-Syn expressing cells and human brain tissues was amplified using REPLI-g Mitochondrial DNA kit (Qiagen, Germantown, MD) according to the manufacturer’s recommendation and the protocol published42,43. The resulting PCR product was sequenced on Illumina HiSeq platform using GENEWIZ next-generation sequencing service. The obtained data were analyzed to identify any changes in the DNA sequence, including point mutations, insertions, deletions, and other genetic variants. The samples were prepared for sequencing by pooling amplified DNA from three controls and three PD patient tissue and the sequencing was independently performed twice.
Statistical analysis
Each set of data presented in this study is derived from a minimum of three independent experiments were calculated as means standard error of the mean (SEM). Statistical analyses were conducted using GraphPad Prism software 9, utilizing both ANOVA and Student’s t-tests to discern significant differences.
Results
Reduced TOM40 protein levels associated with α-Syn accumulation are independent of transcriptional regulation.
The accumulation of α-Syn within mitochondria has been frequently linked to mitochondrial dysfunction. This includes depolarization of the mitochondrial membrane, reduced activity of OXPHOS complexes, and mtDNA damage. Previous research has also associated α-Syn accumulation in PD brains and transgenic mice expressing α-Syn with decreased TOM40 protein levels, a key component of the mitochondrial outer membrane translocase complex27. Despite these observations, the functional relationship between α-Syn accumulation and TOM40 reduction had not been explored until now. To investigate the underlying mechanism behind TOM40 reduction, we assessed TOM40 protein levels in postmortem brain tissue samples from Guam PD, Guam ALS, and Guam control patients obtained from the Binghamton University Biospecimen Archive34. Immunoblot analysis showed a specific decline in TOM40 but not TOM20 (Fig. 1 A, Lns 4–7) as well as increased α-Syn aggregates (Supplementary Fig. 1, Lns 3–4) in Guam PD brain tissue. No TOM40 protein level reduction was observed in Guam non-neurological controls or ALS samples (Fig. 1A, Lns 1–3, 8–10). Patient demographic details are provided in Supplementary Table 1. To test the possibility of transcriptional regulation behind TOM40 reduction, we measured TOM40 and TOM20 mRNA levels in Guam-PD postmortem brain tissues by qRT-PCR (Fig. 1B). The results showed that TOM40 mRNA level normalized to TOM20 mRNA level did not differ, indicating that TOM40 degradation occurs post-translationally. To investigate this further, we utilized a PD patient-derived SNCA-tri line containing four functional SNCA gene copies, three mutant alleles, and one wildtype allele (Fig. 1C). Notably, despite having a sixfold higher α-Syn mRNA level, the SNCA-tri line exhibited stable TOM40 mRNA levels compared to the control (Fig. 1D), but reduced TOM40 protein level compared to the control line (Fig. 1E, Ln 2). Additionally, downregulating α-Syn in the SNCA-tri line resulted in increased TOM40 protein levels (Fig. 1F, Ln 2) but did not lead to any changes in the mRNA levels (Fig. 1G).
Figure 1. Loss of TOM40 protein levels in PD patient-derived NPSC lines and patient tissue, without corresponding mRNA alterations.
A. Immunoblotting of Guam non-neurological controls and Guam PD and Guam ALS brain tissue extracts. Densitometry analysis demonstrating a reduction in Guam PD TOM40 protein levels (Lns 4–7), while TOM20 remains unaffected. B. RT-qPCR showing consistent TOM40 mRNA levels compared to TOM20 in both control and PD brain tissue. C. Schematic diagram of PD patient-derived NPSCs with SNCA triplication (SNCA-tri), which possess four functional copies of the SNCA gene on chromosome 4 (created with BioRender.com). Immunofluorescence confirming elevated α-Syn protein expression in SNCA-tri cells. Scale bar= 20 μm. D. RT-qPCR results indicating TOM40 mRNA expression levels in the SNCA-tri NPSCs cell line. E. Immunoblot of whole cell extracts and densitometry analysis revealing reduced TOM40 levels (Ln 2) in SNCA-tri line. F. Immunoblotting of whole-cell extracts from SNCA-tri cells following siRNA mediated α-Syn knockdown, confirming reduced α-Syn protein expression while TOM40 protein levels remain stable (Ln 2). G. RT-qPCR revealing α-Syn knockdown does not affect TOM40 mRNA expression in the SNCA-tri line. Data were analyzed by one-way ANOVA (A), student t-test (B, E) and two-way ANOVA (D, F, G). ns = non-significant (p>0.05).
Factors inducing α-Syn oligomerization exacerbate TOM40 loss.
In normal cells, α-Syn predominantly resides in the cytoplasm, but redistributes to the mitochondria under oxidative stress, with its impact on outer mitochondrial membrane (OMM) proteins yet to be explored2,44,45. To investigate the impact of α-Syn accumulation under oxidative stress on OMM proteins, we evaluated the effects of PD-associated neurotoxins and pro-oxidant metals—known for generating mitochondrial and cytosolic ROS and fostering α-Syn aggregation in PD models—on the levels of TOM40 and TOM20 (Fig. 2A)11,46,47. Immunoblot analysis revealed a significant decrease in TOM40 levels in SH-SY5Y cells overexpressing ectopic α-Syn and exposed to 6OHDA (Fig. 2A, Ln 3), GO (Fig. 2A, Ln 4), FeCl3 (Fig. 2A, Ln 6), or FeS04 (Fig. 2A, Ln 8) treatments, while TOM20 levels remained unaltered. Interestingly, the reduction in TOM40 levels correlated strongly with decreased α-Syn monomer levels and an increase in α-Syn oligomer formation (Fig. 2A, Lns 3–8), as indicated by high-mobility bands in the immunoblots probed with the α-Syn antibody.
Figure 2. α-Syn aggregation-promoting factors affect TOM40 but not TOM20 protein levels.
A. Immunoblotting of whole-cell extracts from SH-SY5Y cells overexpressing α-Syn after exposure to PD-linked etiological agents. Densitometry analysis demonstrating a significant reduction in TOM40 levels upon exposure to 6OHDA (Ln 3). B. Immunoblotting of whole-cell extract from SNCA-tri cells and densitometry analysis revealing lower TOM40 protein levels in control and SNCA-Tri NPSCs following 6OHDA exposure (Lns 3, 6). C. Proximity Ligation Assay (PLA) images highlighting the interaction between α-Syn and TOM20 in mitochondria (red foci), co-stained with MitoTracker (green). Scale bar= 10 μm. Histogram indicating a significant difference in PLA foci counts between CTRL and SNCA-Tri NPSCs following 6OHDA exposure. Data were analyzed by two-way ANOVA (B, C). ns = non-significant (p>0.05).
Prompted by reports indicating reduced viability and stress resistance in comparable cell lines exposed to toxicants such as rotenone and 6OHDA, we conducted a thorough examination to assess the impact on TOM40 levels in PD patient-derived NPSCs harboring SNCA gene triplication48,49. The reduction in TOM40 protein levels observed in 6OHDA-treated NPSCs, particularly in the SNCA-tri line (Fig. 2B, Lns 3, 6), mirrored the observations in SH-SY5Y cells overexpressing α-Syn. Importantly, exposure to rotenone did not affect TOM40 levels in these cell models (Fig. 2B, Lns 2, 5), suggesting that TOM40 degradation is more susceptible to cytoplasmic ROS inducers than mitochondrial ones. Furthermore, Mitotracker-PLA immunofluorescence studies indicated an enhanced interaction between α-Syn and TOM20 (Fig. 2C, Supplementary Fig. 2), consistent with prior findings of α-Syn’s mitochondrial translocation under oxidative stress44. Altogether our results provide new insights into how oxidative stress, coupled with α-Syn accumulation, impacts TOM protein activities and levels in PD.
These findings also led us to delve deeper into understanding the mechanisms underlying synthesis-induced TOM40 dysfunction and to develop strategies to counteract the perturbations in TOM40 as potential therapeutic avenues for PD.
Mitochondrial localization of α-Syn and its influence on TOM40 levels.
While α-Syn does lack a conventional mitochondrial targeting signal (MTS), its presence in different mitochondrial compartments raises questions about its import mechanism into the mitochondria. Previous studies have shown that α-Syn’s N-terminal 32 amino acids are essential for its mitochondrial translocation, a process that is likely mediated through interaction with TOM402. To identify the residues contributing to this interaction, we conducted molecular docking studies using the AutoDock CrankPep protein-peptide docking method50. Since the program reliably docks peptides raging in lengths from 16 to 20 aminoacids, we divided α-Syn’s 140 aminoacid sequence into 20 aminoacid fragments using the micelle-bound human α-Syn (PDB ID: 1XQ8) as a reference structure (Fig. 3A). The docking results using the TOM40 structure (PDB ID: 7CK6) as the receptor revealed that α-Syn fragment (21–40) exhibited the highest predicted binding affinity for TOM40 residues (Fig. 3B). Notably, α-Syn C-terminal residues demonstrate a lower binding affinity. Overall, these docking results suggest that α-Syn N-terminal residues are crucial for interacting with TOM40.
Figure 3. α-Syn’s N-terminus is required for mitochondrial localization and TOM40/TOM20 interaction.
A. α-Syn structure PDB ID:1xq8 divided into 20 residue fragments, docked against TOM40 structure PDB ID: 7CK6 using AutoDockCrankPep. Image created with PyMOl. B. Graph determining a-Syn residues with a higher binding affinity for TOM40. C. Schematic representation of vectors used for generating wild-type (WT), mitochondria-targeted signal (MTS), and truncated (Δ1–33) overexpressing α-Syn SH-SY5Y stable cell lines. Immunoblot from WT, MTS, and Δ1–33 α-Syn whole cell extracts. Densitometry analysis indicating TOM40 protein levels are specifically affected in WT (Lns 3,4) and MTS a-Syn (Lns 6–8) overexpressing models. D. Immunoblot of whole cell lysate extracts: Abundance of a-Syn oligomer conformations (Lns 2–4, 6–8,12) indicated by (a) 75 kDa, (b) 50–75 kDa, and (c) 37 kDa. E. Immunofluorescence images confirming mitochondrial localization of ectopic α-Syn (indicated by white arrows) in WT α-Syn and MTS α-Syn cell line models and absence of ectopic α-Syn in Δ1–33 α-Syn cells (indicated by white arrows). Scale bar= 10 μm. F. PLA analysis showing increased WT and MTS a-Syn interaction with TOM20 Scale bar= 10 μm. Data were analyzed by student t-test (C) and two-way ANOVA (F).
Building on the docking analysis and existing literature, we designed two inducible expression vectors: one containing a mitochondrial targeting signal (pCW MTS-α-Syn-Flag) and another with a 33 amino acid deletion of α-Syn’s N-terminal region (pCW Δ1–33-α-Syn-Flag) (Fig. 3C). These vectors were used to establish stable SH-SY5Y cell lines as a proof-of-concept model to test whether inhibition of α-Syn translocation into the mitochondria affects TOM40 levels or if targeted mitochondrial accumulation of α-Syn exacerbates TOM40 loss. Utilizing these inducible SH-SY5Y lines enables post-differentiation induction of α-Syn expression, preventing non-physiological α-Syn levels during the differentiation process, known to impact neuronal differentiation, resulting in poor neuronal morphology and shorter neurites51. Western blot analysis of Δ1–33 α-Syn SH-SY5Y cells showed no significant alteration in TOM40 protein levels (Fig. 3C, Lns 10–12). On the other hand, targeting the expression of α-Syn into the mitochondria led to an enhanced reduction in TOM40 levels after 24 hours of induction (Fig. 3C, Lns 6–8), while TOM20 protein levels exhibited no alterations despite the enforced expression of α-Syn in the mitochondria. No significant changes in TOM40 mRNA levels were observed at any tested time points during α-Syn induced expression (Supplementary Fig. 3).
Investigating the impact of oligomeric forms of α-Syn, especially small soluble α-Syn aggregates, is crucial for understanding key pathological aspects of PD development52. Using the anti-oligomer A11 polyclonal antibody, we detected the accumulation of α-Syn oligomers (>25 kDa) in a dose-dependent manner upon induction of α-Syn expression, with MTS-α-Syn expressing cells showing a more pronounced accumulation (Fig. 3D, Lns 6–8). These results align with the reduced TOM40 levels observed in (Fig. 3C, Lns 6–8), suggesting a potential association between α-Syn oligomeric forms and TOM40 loss. Immunofluorescence images (Fig. 3E) confirmed the mitochondrial accumulation of ectopic MTS-α-Syn. Finally, PLA analysis demonstrated increased interaction of WT and MTS-α-Syn with TOM20 (Fig. 3F).
Overall, these findings suggest that TOM40 loss in the context of Guam-PD pathology is influenced by two key factors: α-Syn’s interaction with OMM proteins via its N-terminal residues, and accumulation of α-Syn oligomers, particularly at the mitochondria.
Proteasomal degradation as a key mechanism in α-Syn-induced TOM40 loss.
In our investigation into the mechanisms underlying TOM40 loss in response to α-Syn accumulation, we explored three pathways (Fig. 4A) associated with the selective degradation of OMM proteins: the ubiquitin-proteasome system (UPS), mitochondrial-derived vesicles (MDVs), and mitophagy53,54,55. Our findings revealed a significant stabilization of TOM40 protein levels in the presence of MG132 (Fig. 4B, Ln 3 red arrow), implicating the proteasomal degradation pathway in the regulation of TOM40 under α-Syn accumulation. Stabilization of TOM40 levels was unique to the proteasome inhibition and was not replicated with the other inhibitors, underscoring the specificity of the proteasomal degradation in this context.
We further assessed the effectiveness of these inhibitors by observing a notable increase in microtubule-associated protein 1A/1B-light chain 3B (LC3B). Elevated LC3B levels were consistently observed across all tested inhibitors compared to vehicle-treated α-Syn expressing cells, with notable effects following MG132 and BafA1 treatments (Fig. 4B, Lns 3,4). The observed decrease in LC3B levels in α-Syn expressing cells (Fig. 4B, Ln 2) aligns with the lower LC3B levels detected in transiently overexpressed α-Syn in neuronal cells and the cerebrospinal fluid of PD patients, suggesting an impairment in autophagy56,57
In α-Syn expressing cells treated with MG132, the simultaneous increase in TOM40 and LC3B, in particular, suggests the activation of autophagy as a compensatory mechanism, in line with findings from other studies showing autophagy induction by MG13258,59. However, this observation indicates that neither TOM40 nor α-Syn undergo degradation through this compensatory autophagic mechanism. Conversely, BafA1 inhibits the later stages of autophagic flux, as evidenced by high LC3B levels, but interestingly, it does not prevent TOM40 degradation or α-Syn accumulation. Together, these findings not only identify the involvement of proteasomal degradation pathway in α-Syn-induced TOM40 loss, but also provide crucial insights into the understanding of the physiological mitochondrial quality control mechanisms, especially in neurodegenerative diseases where protein misfolding and aggregation are prevalent.
Impact of α-Syn pathology on mitochondrial genome integrity.
To assess the impact of α-Syn pathology on mitochondrial genome integrity, we used long amplification (LA-PCR) analysis. Separation of PCR amplicons in 1% agarose gel electrophoresis (Fig. 5A) revealed a significant reduction in mtDNA amplification in cells overexpressing WT α-Syn (Fig. 5A, Ln 2) and MTS α-Syn (Fig. 5A, Ln 3) compared to control (Fig. 5A, Ln 1) or Δ1–33 α-Syn (Fig. 5A, Ln 4) cells. Quantitation of PCR products using an independent, highly sensitive PicoGreen based plate reader method confirmed a marked reduction in mtDNA integrity in WT and MTS α-Syn overexpressing cells (Fig. 5B). The reduction in LA-PCR products is indicative of PCR DNA polymerase blocking lesions in DNA, predominantly involving DNA strand breaks, as well as DNA crosslinks and bulky base damages. Therefore, reduction in mtDNA amplification suggests that residues located in the N-terminal region not only facilitate α-Syn’s translocation into the mitochondria but also contribute to its adverse effects on mtDNA integrity. Consequently, averting the buildup of mitochondrial α-Syn by N-terminal deletion not only safeguards TOM40 levels but also preserves the integrity of mtDNA.
Figure 5. Impact of α-Syn accumulation on mitochondrial DNA (mtDNA) integrity.
A Electrophoresis of long amplification PCR (LA-PCR) products on a 1% agarose gel, showing both long ~10Kb (mtLA) and short ~250bp (mtSA) mtDNA amplicons. B. Quantification of mtDNA integrity using PicoGreen fluorescence, presented as fold change. C. mtDNA sequencing analysis: mutation frequency graph summarizing unique mutations in protein-coding genes by type and severity. Frameshifts result from insertions or deletions, while silent mutations code for the same amino acid. Severity is classified as benign, probably damaging, or possibly damaging by PolyPhen-2 analysis. D. LA-PCR 1 % agarose gel showing ~10Kb mtLA and short 250bp mtSA mtDNA amplicons to evaluate mtDNA integrity in brain tissue DNA from Guam PD patients. Fold change graph of mtDNA integrity quantified by densitometry analysis. E. mtDNA integrity quantification with PicoGreen fluorescence, expressed as a fold change. Data were analyzed by two-way ANOVA (B, D) and student t-test (E).
To gain deeper insights into the potential link between mtDNA instability and α-Syn accumulation, we conducted mitochondrial DNA sequencing to quantify insertions, deletions, and mutations in WT α-Syn cells. Our analysis identified several unique mutations in the ND2, COX1, ND4, and ND5 genes. The severity assessment using the PolyPhen-2 online tool revealed the impact of these mutations (Fig. 5C). A comparison between Dox (−) and Dox (+) WT α-Syn cells revealed a total of 148 mutations with a rate of 8.9 mutations per 1kb in Dox (−), while 167 mutations were present in Dox (+) with a mutation rate of 10 mutations per 1kb. Specifically, 26 unique mutations were reported in Dox (+) WT α-Syn cells mitochondria at a rate of 1.5 mutations per 1kb. Analyzing the distribution of mutations in the coding region of the mitochondrial genome in Dox (+) WT α-Syn cells, we found varied rates across different genes: ND1 (2.1/kb), ND2 (1.9/kb), COX1 (1.9/kb), COX3 (1.2/kb), ND3 (2.8/kb), ND4 (0.72/kb), ND5 (2.1/kb), ND6 (3.9/kb), and Cytb (0.8/kb).
Furthermore, we assessed mtDNA integrity in brain tissue samples from Guam PD patients exhibiting α-Syn pathology and compared them to three non-neurological controls using LA-PCR. Both agarose gel electrophoresis densitometry analysis (Fig. 5D, Lns 4–7) and independent PicoGreen based quantitation of mtLA 7601-16401 PCR amplicon (Fig. 5E) revealed a significant increase in mtDNA damage within the Guam PD patient samples, contrasting with Guam non-neurological controls (Fig. 5D, Lns 1–3). Altogether these findings emphasize a distinct correlation between mtDNA instability and α-Syn proteinopathy.
TOM40 supplementation partially counters α-Syn-induced defects in mitochondrial bioenergetics.
Considering the impact of α-Syn on cellular health, particularly focusing on cell viability (Fig. 6A) and mitochondrial membrane potential (Fig. 6B), we aimed to assess the functional consequences of overexpressing WT α-Syn in the absence or presence of ectopic TOM40 supplementation. Utilizing the Seahorse XFe96 analyzer, we conducted a real-time assessment of mitochondrial respiratory function, quantifying oxygen consumption rates (OCR) to measure the mitochondrial bioenergetic efficiency.
Figure 6. TOM40 supplementation partially mitigates α-Syn-induced mitochondrial defects.
A. Assessment of cell viability with MTT assay after 48 hours of induced α-Syn overexpression. B. Measurement of mitochondrial membrane potential with TMRE assay results following 48 hours of induced α-Syn overexpression. C. Representative epifluorescence/phase-contrast image of WT α-Syn cells expressing TOM40 eGFP afterLv-C-Flag-SV40-eGFP infection. Scale bar = 20 μm. Seahorse analysis presenting an overview of Oxygen Consumption Rate (OCR) in WT α-Syn Dox (−), Dox (+), and Dox (+) plus TOM40 overexpression (TOM40 OE) cells during the mitochondrial respiration test. D. Basal respiration in WT α-Syn overexpressing cells. E. ATP-linked respiration. F. Maximal respiration was assessed following mitochondrial uncoupling by FCCP. G. Spare respiratory capacity is determined by subtracting basal respiration from maximal respiration in WT α-Syn overexpressing cells. H. Proton leakage was evaluated after inhibiting complex III via antimycin-A. I. Non-mitochondrial oxygen consumption. Data were analyzed by two-way ANOVA (A, B), one-way ANOVA (C). non-significant (p>0.05).
Our findings reveal that WT α-Syn overexpression in SH-SY5Y cells, without concurrent TOM40 supplementation, significantly diminishes OCR alongside all tested parameters of respiratory function (Fig. 6C). This reduction highlights a clear compromise in mitochondrial efficiency attributable to α-Syn overexpression. In contrast, cells overexpressing WT α-Syn and supplemented with TOM40 expression exhibited a substantial enhancement in OCR (Fig. 6C), indicating an improvement in mitochondrial bioenergetics. This improvement extended across several respiratory parameters, including basal respiration (Fig. 6D), ATP production (Fig. 6E), and maximal respiration (Fig. 6F), where we observed significant improvements. Notably, non-mitochondrial oxygen consumption also showed marked enhancement (Fig. 6I).
However, the spare respiratory capacity, which acts as a buffer during increased energy demand, remained adversely affected in cells with elevated α-Syn levels, indicating that TOM40 supplementation, while beneficial, could not completely mitigate this specific deficit (Fig. 6G). Furthermore, our results showed that proton leak rates were not significantly altered by either α-Syn overexpression or TOM40 supplementation (Fig. 6H), suggesting that some aspects of mitochondrial function remain unaffected by these modifications.
Collectively, these outcomes underscore that while TOM40 supplementation does not completely reverse the mitochondrial impairments induced by α-Syn overexpression, it does significantly ameliorate several key aspects of mitochondrial bioenergetics. This partial but meaningful recovery suggests a promising avenue for addressing mitochondrial deficits linked to α-Syn pathology, while also suggesting a need for additional strategies to mitigate such deficits.
PARP inhibition as a strategy to restore TOM40 levels and mitigate α-Syn toxicity
Building upon recent findings that suggest that PARP inhibition promotes the degradation of α-Syn aggregates via the autophagy-lysosomal pathway in PD models33, here, we explored the potential of PARP inhibition in countering α-Syn oligomers-mediated TOM40 protein loss resulting from exposure to 6OHDA and elevated α-Syn expression. To assess whether a PARP inhibitor (PARPi) treatment can restore TOM40 levels after 6OHDA treatment, we treated control NPSCs with 6OHDA, followed by replacement of fresh media supplemented with or without PARP inhibitor Veliparib. Veliparib, chosen for its established efficacy in inhibiting PARP activity and ability to cross the blood-brain barrier60, led to a significant restoration of TOM40 protein levels compared to untreated cells (Fig. 7A, Ln 2 vs 3). The efficacy of Veliparib was further supported by reduced Poly/Mono-ADP ribosylated (ADP-R) proteins and decreased α-Syn protein levels following treatment, consistent with previous reports31,33. These findings not only validate Veliparib’s successful inhibition of PARP, but also propose a mechanism by which PARP inhibition contributes to TOM40 stabilization by reducing pathological α-Syn forms.
Figure 7. Restoration of TOM40 protein levels by ADP-Ribosylation inhibitors (PARPi) in 6OHDA-induced cellular tress and α-Syn expression.
A. Immunoblot of whole cell extract from control NPSCs exposed to 10 μM 6OHDA for 24 hours and subsequently treated with 10 μM Veliparib (PARPi) for an additional 24 h. Densitometry analysis revealing a significant recovery in TOM40 protein level following PARPi treatment (Ln 3). B. Impact of PARPi and TOM40 overexpression on cell viability in SH-SY5Ycells under 6OHDA-induced toxicity. C. Effect of PARPi and TOM40 overexpression on cell viability in SH-SY5Y cells challenged with both α-Syn expression and 6OHDA-induced toxicity. D. Schematic diagram illustrating mechanisms of TOM40 loss induced by α-Syn pathogenesis: (a) Normal protein import into mitochondria under physiological conditions. (b) In the presence of genetic mutations or neurotoxicants, α-Syn accumulates and forms oligomers (1), triggering TOM40 degradation via the UPS pathway (2), leading resulting in mitochondrial dysfunction (3). Inhibition of PARP1 serves to restore TOM40 levels, representing a promising strategy to counteract mitochondrial dysfunction and prevent cell death triggered by ROS toxicity and pathological α-Syn accumulation (4). Data were analyzed by one-way ANOVA (A B,C).
Finally, we compared the effectiveness of TOM40 supplementation and PARPi treatment on the viability of two PD in vitro models: the 6OHDA-induced (Fig. 7B) and α-Syn overexpression model (Fig. 7C). Interestingly, both TOM40 supplementation and PARPi treatment demonstrated similar efficacy in enhancing cell viability. This finding is particularly significant as it highlights the potential of two independent therapeutic pathways for mitigating the deleterious effects of α-Syn-induced mitochondrial dysfunction and subsequent cell death (schematically illustrated in Fig. 7D, a and b).
Discussion and Conclusion
This study elucidates the mechanisms that contribute to the reduction of the TOM40 protein on the OMM, which is linked to α-Syn pathology. Furthermore, this study highlights the implications of TOM40 loss for mitochondrial dysfunction in Guam PD. Our findings demonstrate that α-Syn accumulation uniquely influences TOM40 protein levels, a process independent of transcriptional regulation. While analysis of Guam PD patient brain tissue samples and age-matched control samples aligns with earlier research, confirming that TOM40, not TOM20, is affected in cases with higher α-Syn levels27, this is the first report of such depletion of TOM40 in Guam PD patient brain tissues. Furthermore, a comparative analysis of Guam PD with Guam ALS, without α-Syn proteinopathy revealed that loss of TOM40 is only observed in Guam PD but not in Guam ALS, underscoring its susceptibility to α-Syn-induced alterations. Additionally, our observations from various PD cell models emphasize TOM40 mRNA stability irrespective of α-Syn mRNA levels, which is consistent with patient brain tissue results. This underscores TOM40’s susceptibility to alterations in protein levels, distinguishing it from other mitochondrial proteins such as TOM20.
Another crucial observation is the increased reduction of TOM40 in the presence of PD-associated neurotoxicants and ROS inducers. Our findings demonstrate an increased TOM40 loss when α-Syn expression is coupled with ROS-generating agents such as 6OHDA, which also exhibit reduced levels of monomeric α-Syn and increased oligomer formation. Neurotoxic agents such as rotenone and 6OHDA generate intracellular ROS, with rotenone primarily inducing mitochondrial ROS through direct COXI inhibition, while 6OHDA undergoes rapid autoxidation in the cytosol, leading to hydrogen peroxide accumulation in this compartment6,61. Therefore, our results from PD cell models underscore the susceptibility of TOM40 to cytoplasmic ROS inducers, providing valuable insights into the impact of oxidative stress on TOM protein activities. Notably, the interaction between α-Syn and TOM20 significantly increased upon 6OHDA treatment. This finding aligns with recent evidence showing that pathogenic α-Syn aggregates preferentially bind to mitochondria through increased interaction with TOM2062.
Importantly, TOM40 degradation is exacerbated by mitochondrial-localized α-Syn, as evidenced by the preservation of TOM40 protein levels in cells expressing Δ1–33-α-Syn, which inhibits the translocation of α-Syn into mitochondria. In contrast, TOM20 protein levels were not influenced by either the targeting of α-Syn into the mitochondria or the deletion of the first 33 amino acids containing the potential intrinsic MTS of α-Syn. The absence of the first 33 amino acids in α-Syn emphasizes not only their significance for the mitochondrial accumulation of α-Syn but also for the interaction between α-Syn and TOM complex proteins. Moreover, the simultaneous occurrence of intracellular α-Syn oligomeric species formation alongside TOM40 loss supports the notion that pathogenic forms of α-Syn instigate significant disturbances in the physical structure and integrity of the OMM. These changes may impact the OMM’s ability to regulate molecule transport, maintain an electrochemical gradient, and participate in vital cellular processes. This implication aligns with earlier studies that demonstrated alterations in the inner mitochondrial membrane resulting from the accumulation of α-Syn within the mitochondria4. Therefore, the accumulation of α-Syn oligomers, particularly in the mitochondria, is associated with TOM40 loss, consistent with their well-established pathological role in PD.
Our investigation also implicates the UPS in α-Syn-mediated TOM40 degradation, likely through the α-Syn-triggered ubiquitination of TOM40. The involvement of the UPS pathway in α-Syn-mediated TOM40 loss suggests an adaptive response to prevent organelle-wide damage, a notion supported by evidence highlighting the role of mitochondria-associated degradation (MAD) pathway, which selectively removes damaged OMM proteins rather than eliminating entire organelles through mitophagy processes63,64. The MAD pathway engages UPS-mediated degradation of ubiquitinated OMM proteins in the cytosol, as observed in Huntington’s disease (HD). In HD, Valosin-containing protein (VCP) and UBX-containing protein 1 (UBXD1) mediate retrotranslocation of the OMM protein Myeloid cell leukemia sequence 1 (MCL1) to the cytosol for UPS degradation65. While the α-Syn-induced TOM40 degradation mechanism may resemble the degradation of MCL1 facilitated by mutant Huntingtin, further research is essential to confirm this analogy. Understanding this specific relationship could open new avenues in PD treatment, with a focus on preventing TOM40 degradation.
Our research also highlights a significant correlation between α-Syn accumulation and mtDNA damage, suggesting a direct impact on mitochondrial dysfunction. In the current study, we observed notable accumulation of mtDNA damage, particularly in response to the expression of both WT and MTS α-Syn. Furthermore, under WT α-Syn expressing conditions, we identified distinctive mtDNA mutations in hotspots associated with complex I respiratory chain subunits. This process aligns with the observed increase in mtDNA damage and mitochondrial dysfunction in PD-affected human brains66,67. This relationship is critical, as it links the molecular pathology of α-Syn with the functional decline of mitochondria, evidenced by respiratory defects and altered membrane potential. These findings provide a broader perspective on how α-Syn contributes to neuronal dysfunction in PD.
The strong association between mitochondrial accumulation of α-Syn and impaired energy metabolism has been well-established4. In line with earlier discoveries, a promising aspect of our study is the observation that moderate TOM40 supplementation can partially ameliorate the deficits in mitochondrial bioenergetics induced by α-Syn. This observation opens the prospect of employing TOM40 restoration as a potential therapeutic strategy. However, the translation of this approach into a clinical setting demands a deeper understanding of the long-term effects of TOM40 supplementation and potential challenges in delivery mechanisms. This is particularly crucial given recent studies demonstrating that elevated TOM40 expression leads to caspase-dependent cell death and neurodegeneration in neuronal eye tissue68.
Apart from TOM40 supplementation, our findings indicate that inhibiting PARP restores TOM40 levels, offering a second, independent avenue to counteract mitochondrial dysfunction and prevent cell death caused by pathogenic α-Syn accumulation. Nevertheless, it is crucial to note that prolonged PARP inhibition may interference with DNA repair pathways, leading to adverse secondary effects such as myeloid leukemia, which could significantly burden the patient’s condition69. In light of this, our research, identifying two independent and equally effective approaches to prevent α-Syn-induced mitochondrial defects and cell death, suggests the possibility of developing a combinatorial approach. This approach holds the potential to allow for the reduction of doses of both PARPi and TOM40 supplementation to subtoxic, more tolerable levels. The goal is not only to enhance therapeutic efficacy but also to minimize potential side effects associated with higher doses of each treatment. Future studies should focus on exploring this combinatorial therapy in more detail using in vivo PD models.
In summary, our study establishes a direct link between α-Syn accumulation, TOM40 degradation, and mitochondrial dysfunction in Guam PD. These findings not only advance our understanding of Parkinson’s disease pathology, but also open new potential therapeutic strategies. Future research should prioritize in vivo studies, concentrating on investigating the long-term effects of TOM40 supplementation and PARP inhibition as potential therapies. Our findings represent a substantial step forward in understanding the complex interplay of α-Syn pathology, mitochondrial dysfunction, and neuronal damage in PD, setting the foundation for the development of targeted and effective treatments.
Acknowledgements
This research is primarily supported by the Sherman Foundation Parkinson’s Disease Research Challenge Fund to M.L.H. The research was also partially supported by the National Institute of Neurological Disorders and Stroke (NINDS) and the National Institute of Aging (NIA) of the National Institutes of Health (NIH) under award number RF1NS112719, as well as Houston Methodist Research Institute’s internal funds. M.L.H. acknowledges the Everett E. and Randee K. Bernal for their support via Centenial Endowed Chair of Neurological Institute. The authors would like to express their gratitude to other members of Hegde laboratory, Vikas Rao, Vincent Provasek and Pavana Hegde for various assistance and Dr. Anna Dodson at Houston Methodist Research Institute (Houston, TX) for their assistance with document editing.
Footnotes
Conflict of interest
The authors report no declaration of interest.
Supplementary Files
Contributor Information
Muralidhar Hegde, Houston Methodist Research Institute.
Velmarini Vasquez, Houston Methodist Research Institute.
Manohar Kodavati, Houston Methodist Research Institute.
Joy Mitra, Houston Methodist Research Institute.
Indira Vendula, Houston Methodist Research Institute.
Dale Hamilton, Center for Bioenergetics, Houston Methodist Research Institute.
Ralph Garruto, Binghamton University, State University of New York.
K.S. Rao, KL Deemed University
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