Skip to main content
Brain logoLink to Brain
. 2023 Jan 30;146(3):1040–1052. doi: 10.1093/brain/awac445

In vivo reduction of age-dependent neuromelanin accumulation mitigates features of Parkinson’s disease

Marta Gonzalez-Sepulveda 1,2,#, Joan Compte 3,4,#, Thais Cuadros 5,6, Alba Nicolau 7,8, Camille Guillard-Sirieix 9,10, Núria Peñuelas 11,12, Marina Lorente-Picon 13,14, Annabelle Parent 15,16, Jordi Romero-Giménez 17, Joana M Cladera-Sastre 18,19, Ariadna Laguna 20,21,22, Miquel Vila 23,24,25,26,27,
PMCID: PMC9976971  PMID: 36717986

Abstract

Humans accumulate with age the dark-brown pigment neuromelanin inside specific neuronal groups. Neurons with the highest neuromelanin levels are particularly susceptible to degeneration in Parkinson’s disease, especially dopaminergic neurons of the substantia nigra, the loss of which leads to characteristic motor Parkinson’s disease symptoms. In contrast to humans, neuromelanin does not appear spontaneously in most animals, including rodents, and Parkinson’s disease is an exclusively human condition. Using humanized neuromelanin-producing rodents, we recently found that neuromelanin can trigger Parkinson’s disease pathology when accumulated above a specific pathogenic threshold.

Here, by taking advantage of this newly developed animal model, we assessed whether the intracellular build-up of neuromelanin that occurs with age can be slowed down in vivo to prevent or attenuate Parkinson’s disease. Because neuromelanin derives from the oxidation of free cytosolic dopamine, we enhanced dopamine vesicular encapsulation in the substantia nigra of neuromelanin-producing rats by viral vector-mediated overexpression of vesicular monoamine transporter 2 (VMAT2). This strategy reduced the formation of potentially toxic oxidized dopamine species that can convert into neuromelanin and maintained intracellular neuromelanin levels below their pathogenic threshold. Decreased neuromelanin production was associated with an attenuation of Lewy body-like inclusion formation and a long-term preservation of dopamine homeostasis, nigrostriatal neuronal integrity and motor function in these animals.

Our results demonstrate the feasibility and therapeutic potential of modulating age-dependent intracellular neuromelanin production in vivo, thereby opening an unexplored path for the treatment of Parkinson’s disease and, in a broader sense, brain ageing.

Keywords: Parkinson’s disease, neuromelanin, VMAT2, dopamine, substantia nigra


Neurons that accumulate the highest levels of neuromelanin with age are also the most susceptible to degeneration in Parkinson’s disease. Using a neuromelanin-producing rat model, Gonzalez-Sepulveda, Compte et al. show that slowing down age-dependent neuromelanin production can help prevent Parkinson’s disease-like features.

Introduction

In Parkinson’s disease (PD), there is a preferential degeneration of neurons that contain the pigment neuromelanin (NM), especially dopamine (DA)-producing neurons of the substantia nigra pars compacta (SNpc), the loss of which leads to a depletion of nigral and striatal DA that underlies classical PD motor symptoms. NM is a synthetic byproduct of DA metabolism that progressively accumulates with age, with neurons reaching the highest levels of NM being the most susceptible to PD degeneration.1–3 In contrast to humans, NM does not appear spontaneously in most animal species, including rodents.4 However, we recently developed the first experimental rodent model exhibiting age-dependent production and accumulation of NM within PD-vulnerable DA nigral neurons, at levels up to those reached in elderly humans. This model is based on the viral vector-mediated expression of melanin-producing enzyme tyrosinase (TYR) in rat SNpc.5 Using this humanized NM-producing animal model, we revealed that age-dependent progressive intracellular build-up of NM ultimately compromised neuronal function and viability when allowed to accumulate above a specific threshold. As a consequence, these animals eventually developed major PD-like features, including motor deficits, Lewy body (LB)-like pathology, nigrostriatal neurodegeneration and neuroinflammatory changes.5 Relevant to humans, intracellular NM levels reach this pathogenic threshold in PD patients and pre-PD subjects.5 These results indicate that an excessive production of NM within neurons can compromise neuronal function and trigger PD pathology. Accordingly, strategies to slow down age-dependent NM production/accumulation could potentially prevent or delay PD onset and disease progression.

DA oxidation to [o-]quinones is an essential event required for NM synthesis.6–9 In particular, NM is formed by oxidation of excess cytosolic DA that is not accumulated into synaptic vesicles by the vesicular monoamine transporter-2 (VMAT2; SLC18A2), an H+-ATPase antiporter found on the membrane of secretory vesicles of presynaptic neurons that rapidly internalizes into synaptic vesicles both recently-synthesized DA and extracellular DA reuptaken by the dopamine transporter (DAT).10–12 VMAT2-mediated DA vesicular uptake is essential to prepare DA for subsequent release and to prevent its cytosolic accumulation and oxidation into potentially toxic [o-]quinones, the latter being rapidly transformed into eumelanic or pheomelanic intermediates that constitute the melanic component of NM.6–9 In line with this, there is an inverse relationship between NM content and VMAT2 immunoreactivity in human midbrain DA neurons,13 with neurons exhibiting the highest VMAT2 levels being the ones with the lowest NM levels, and the least vulnerable to Parkinson’s disease-linked neurodegeneration. Conversely, the most vulnerable ventral SNpc neurons accumulate the highest NM levels and exhibit the lowest VMAT2 levels.13 Supporting a potential pathogenic perturbation of VMAT2 in PD: (i) post-mortem PD brains exhibit decreased VMAT2 expression in nigrostriatal DA terminals14; (ii) VMAT2-dependent DA encapsulation within synaptic vesicles is defective in early PD cases15; (iii) VMAT2 mRNA is decreased in circulating platelets from PD patients, suggesting a systemic VMAT2 deficiency16; and (iv) gain-of-function VMAT2 variants in humans have been associated to decreased likelihood of developing PD.17,18 By taking advantage of our newly developed NM-producing animal model, here we assessed whether enhancement of DA vesicular encapsulation by VMAT2 overexpression may provide therapeutic benefit in the context of PD by maintaining DA homeostasis, decreasing potentially toxic DA oxidized species and preventing age-dependent NM accumulation above its pathogenic threshold.

Materials and methods

The collection of detailed protocols was deposited in protocols.io: https://www.protocols.io/view/in-vivo-reduction-of-age-dependent-neuromelanin-ac-rm7vzbno2vx1/v1.

Study design

In this study we aimed to determine whether VMAT2 overexpression could decrease age-related NM production in vivo and prevent/attenuate PD pathology. This question was addressed by taking advantage of the only currently available rodent model of NM production, which we have recently developed, based on the unilateral viral vector-mediated overexpression of TYR in the rat SNpc.5 In parallel to NM accumulation, these animals develop a progressive PD-like phenotype characterized by motor deficits, LB-like inclusion formation, nigrostriatal neurodegeneration, extracellular NM released from dying neurons and neuroinflammation. Adult male Sprague–Dawley rats were randomly distributed into three different experimental groups receiving, respectively, unilateral intranigral injections of either adeno-associated viral vector (AAV)-TYR, AAV-VMAT2 or a combination of both. After confirming that the combination of both vectors did not interfere with the expression of one another, we evaluated in all groups behavioural (motor asymmetry), histological (intracellular NM levels, LB-like inclusion formation, TH and VMAT2 downregulation, nigrostriatal degeneration, extracellular NM, neuroinflammation) and metabolic (DA vesicular uptake, DA levels, DA metabolism, DA oxidation) changes. Based on our previous observations, two different experimental time-points were selected for these evaluations: (i) at the onset of NM-linked neuronal dysfunction but before neurodegeneration (i.e. 2 months post-AAV), equivalent to prodromal PD; and (ii) once nigrostriatal neurodegeneration is fully established in these animals (i.e. 6 months post-AAV), equivalent to established PD.5 Two types of controls were used for the different quantifications: (i) the unaffected contralateral (non-AAV injected) hemisphere of each animal, representing an internal control/baseline; and (ii) a group of rats unilaterally injected with AAV-VMAT2 in the SN, which serve as a control of the potential effects of VMAT2 overexpression by itself. In addition, we had previously reported that unilateral nigral injections of the corresponding AAV-empty vector (EV) or vehicle/sham does not produce any nigral pathology in these animals in contrast to AAV-TYR injections.5 Therefore, AAV-EV or vehicle/sham injections were not used in this study, to minimize the number of animals according to international regulations on the protection of animals used for experimental purposes. All researchers were blinded to the experimental groups analysed.

Animals

Adult male Sprague–Dawley rats (RRID: MGI:5651135, Charles River), 225–250 g at the time of surgery, were housed two to three per cage with ad libitum access to food and water during a 12 h light/dark cycle. All the experimental and surgical procedures were conducted in accordance with the European (Directive 2010/63/UE) and Spanish laws and regulations (Real Decreto 53/2013; Generalitat de Catalunya Decret 214/97) on the protection of animals used for experimental and other scientific purposes, and approved by the Vall d’Hebron Research Institute (VHIR) Ethical Experimentation Committee, to ensure the use of the minimum necessary number of animals and the application of protocols that cause the least pain, suffering or distress to animals. Rats were randomly distributed into the different experimental groups and control and experimental groups were processed at once to minimize bias.

Stereotaxic infusion of viral vectors

Recombinant AAV vector serotype 2/1 expressing the human tyrosinase cDNA driven by the cytomegalovirus (CMV) promoter (AAV-TYR; concentration 2.6 × 1013 gc/ml; #UPV2337) and AAV serotype 2/9 containing the human VMAT2 cDNA fused to three Flag epitopes under control of the CMV promoter (AAV-VMAT2; concentration 7.2 × 1012 gc/ml; #UPV2637) were produced at the Viral Vector Production Unit of the Autonomous University of Barcelona (UPV-UAB, Spain). Surgical procedures were performed with the animals placed under general anesthesia using isoflurane (5% for the induction phase and 2% for the maintenance phase) (Baxter). Vector solutions were injected using a 10 μl Hamilton syringe fitted with a glass capillary (Hamilton model Cat. No. #701). Animals received 2 μl of a 0.65:1.35 mixture of AAV-TYR+AAV-Flag-VMAT2, AAV-TYR+vehicle or vehicle+AAV-Flag-VMAT2 to achieve a final titration of 1.7 × 1013 gc/ml for AAV-TYR and 9.7 × 1012 gc/ml for AAV-VMAT2. In the TYR/vehicle and VMAT2/vehicle groups, viral vectors were diluted with vehicle (PBS-MK/40% Iodixanol). Infusion was performed at a rate of 0.4 μl/min and the needle was left in place for an additional 4 min period before it was slowly retracted. Injection was carried out unilaterally on the right side of the brain at the following coordinates (flat skull position), right above the SNpc: antero-posterior: −5.29 mm; medio-lateral: −2 mm; dorso-ventral: −7.6 mm below dural surface, calculated relative to bregma according to the stereotaxic atlas of Paxinos and Watson.19

Brain processing for UPLC-MS/MS, qPCR and histological analyses

Two or six months after injection of viral vectors animals were euthanized and the brains quickly removed and placed over a cold plate. For histological analyses, the posterior portion of the brain was embedded in ice-cold formaldehyde solution 4% phosphate buffered (Panreac) for 24 h and subsequently processed for paraffin embedding following standard procedures. Sectioning was performed with a sliding microtome (Leica) at 5-µm thickness. For ultra-performance liquid chromatography-tandem mass-spectrometry (UPLC-MS/MS) analyses, contralateral and ipsilateral striata (Str) were dissected, frozen on dry ice, and stored at −80°C until use. In an additional set of animals euthanized at two months, Str and ventral midbrain (vMB) were dissected, frozen on dry ice, and stored at −80°C until analysed by UPLC-MS/MS. Two additional sets of animals were euthanized at one month post-AAV injection and their brains processed for either histology or qPCR, respectively, to assess transduction efficiency of the viral vectors, alone or in combination.

Immunohistochemistry

Deparaffinized rat brain sections were quenched for 10 min in 3% H2O2-10% (vol/vol) methanol. Antigen retrieval in paraffin sections was performed with a 10 mM citric acid solution at pH 6.0 in a microwave for 20 min. Sections were rinsed three times in 0.1 M Tris-buffered saline (TBS) between each incubation period. Blocking for 1 h with 5% (vol/vol) normal goat serum (NGS, Vector Laboratories) was followed by incubation with the appropriate primary antibody at 4°C for 48 h in 2% (vol/vol) serum. Details about primary antibodies used for immunohistochemistry can be found in Table 1. Sections were then incubated with the corresponding secondary biotinylated antibody (Vector Laboratories), visualized by incubation with avidin-biotin-peroxidase complex (Immunopure ABC Peroxidase staining kit; Thermo Fisher Scientific), using the VectorSG Peroxidase Substrate Kit (Vector Laboratories) as a chromogen, and mounted and coverslipped with DPX mounting medium (Sigma-Aldrich).

Table 1.

Antibodies used in immunohistochemistry/immunofluorescence experiments

Antibody Manufacturer Dilution
Primary
Anti-TH Calbiochem (657012) 1:40 000 (IHC)
1:1000 (IF)
Anti-Flag Sigma (F3165) 1:1000 (IHC)
Anti-VMAT2 Progen (16085) 1:500 (IHC)
Anti-TYR Epredia (MS-800-P1) 1:750 (IHC)
Anti-CD68 Serotec (MCA341R) 1:100 (IHC)
Anti-GFAP Sigma (G3893) 1:1000 (IHC)
Anti-Iba-1 Wako (019–19741) 1:1000 (IHC)
Anti-p62 Progen (GP62-C) 1:500 (IF)
Secondary
Anti-Guinea Pig- 488 Thermo Fisher Scientific (A11073) 1:1000 (IF)
Anti-Rabbit-647 Thermo Fisher Scientific (A21443) 1:1000 (IF)

IF = immunofluorescence; IHC = immunohistochemistry.

Immunofluorescence

The immunofluorescence procedure was similar to the previously reported immunohistochemistry protocol without the quenching step. Blocking was performed with 5% (vol/vol) NGS and 0.1% (vol/vol) Triton X-100 (Sigma-Aldrich) in PBS solution. Corresponding primary antibodies were incubated together overnight at 4°C in 2% (vol/vol) serum. Details about primary and secondary antibodies used for immunofluorescence can be found in Table 1. Adequate Alexa 488 and/or 647-conjugated secondary antibodies were incubated simultaneously for 1 h at room temperature in 2% (vol/vol) serum. Nuclei were stained with Hoechst 33342 (1:2000, Thermo Fisher Scientific, ref: H3570) in 1× PBS for 10 min. Sections were coverslipped using the Dako Cytomation Fluorescent Mounting Medium (Dako).

Immunofluorescent images were taken with a LSM 980 with Airyscan 2 confocal microscopeand were analysed with ZEN 3.1 software (RRID: SCR_013672; http://www.zeiss.com/microscopy/en_us/products/microscope-software/zen.html#introduction). The total number of p62-positive cytoplasmic inclusions was manually determined in a selected SNpc middle section/animal exhibiting high numbers of nigral neurons, including NM-containing neurons, from two different experimental groups: TYR (n = 8) and TYR+VMAT2 (n = 7), at 2 months post-AAV injections. Equivalent anatomical levels (based on Paxinos and Watson19) were analysed across animals. All quantifications were performed by an investigator blinded to the experimental groups.

Cell counting

Assessment of the total number of TH-positive neurons, the number of NM-laden neurons (with or without TH) and extracellular NM aggregates in the SNpc was performed by stereology according to the fractionator principle, using the MBF Bioscience StereoInvestigator 11 (64 bits) Software (RRID: SCR_004314; https://www.mbfbioscience.com/help/si11/Default.htm) coupled to a Zeiss Imager.D1 microscope with an AxioCam MRc camera (Zeiss). Serial 5-µm thick paraffin sections covering the entire SNpc were included in the counting procedure (every 17th section for a total of 10–12 sections analysed/animal; Supplementary Fig. 1). The following sampling parameters were used: (i) a fixed counting frame with a width and length of 50 μm; (ii) a sampling grid size of 115 × 70 μm; and (iii) a multiplication factor of 17. The counting frames were placed randomly by the software at the intersections of the grid within the outlined structure of interest. Objects in both brain hemispheres were independently counted following the unbiased sampling rule using a 100× lens and included in the measurement when they came into focus within the dissector. A coefficient of error of <0.10 was accepted. Data for the total numbers of TH-positive neurons and NM-containing neurons are expressed as absolute numbers for each hemisphere. The total number of SNpc DA neurons was calculated by considering all TH+NM+, THNM+ and TH+NM neurons. The percentage of TH downregulation was calculated by considering the total number of TH+NM+ and the total number of THNM+ with respect to the total number of neurons containing NM. All quantifications were performed by an investigator blinded to the experimental groups. For the assessment of the number of VMAT2-positive neurons, a similar approach was applied to a selected SNpc middle section/animal exhibiting high numbers of nigral neurons, including NM-containing neurons. Equivalent anatomical levels (based on Paxinos and Watson19) were analysed across animals. The percentage of ipsilateral VMAT2 downregulation was calculated by considering the number of VMAT2NM+ neurons versus total SNpc DA neurons (including VMAT2+NM+, VMAT2+NM and VMAT2NM+ neurons).

For the quantification of VMAT2-Flag and TYR transduction efficiency, high resolution micrographs were acquired with an Olympus Slideview VS200 slide scanner and the Olyvia 3.3 software (RRID:SCR_016167; https://www.olympus-lifescience.com/en/support/downloads/#dlOpen=%23detail847249644). A specific artificial intelligence (AI)-assisted algorithm was implemented for the quantification of vector SG immunostained neurons (VMAT2-Flag, TYR or TH; Supplementary Fig. 2) using the Olympus V200 Desktop 3.3 software (https://www.olympus-lifescience.com/en/solutions-based-systems/vs200/). Adjacent serial 5-µm thick paraffin sections covering the entire SNpc were included in the counting procedure (every 17th section for a total of 10–12 sections analysed/animal; Supplementary Fig. 1). Each automatized counting was manually revised by an investigator blinded to the experimental groups.

Quantification of neuroinflammation parameters

Quantification of Iba-1, CD68 and GFAP-positive cells was performed in SNpc sections adjacent to those used for stereological cell counts. Serial 5-µm thick paraffin sections covering the entire SNpc (every 17th section for a total of 10–12 sections analysed/animal; Supplementary Fig. 1) were scanned using the Panoramic Midi II FL, HQ SCIENTIFIC 60x scanner and section images were acquired with CaseViewer software (RRID:SCR_017654; https://www.3dhistech.com/caseviewer). For quantification of Iba-1, CD68 and GFAP-positive cells, specific AI-based algorithms were implemented using the Aiforia 5.3 platform (RRID:SCR_022739, https://www.aiforia.com). Iba-1-positive cells were counted separately in two different groups according to their activation state: non-reactive (branched) and reactive (amoeboid). CD68 and GFAP-positive cells were counted individually. Data are presented as the number of positive cells per quantified area (in mm2). All quantifications were performed by an investigator blinded to the experimental groups. For illustration purposes, high resolution micrographs were acquired with the Olympus Slideview VS200 slide scanner and the Olyvia 3.3 software.

Intracellular NM quantification

Intracellular NM levels were quantified in both AAV-TYR and AAV-TYR+AAV-VMAT2-injected animals at two months post-AAV injections in 5-µm thick paraffin-embedded haematoxylin and eosin (H&E)-stained sections covering the whole SNpc for each animal. In these sections, SNpc dopaminergic neurons were identified by the visualization of unstained NM brown pigment. Midbrain sections were scanned using the Pannoramic Midi II FL, HQ SCIENTIFIC 60× and section images were acquired with CaseViewer software at an objective magnification of 63×. For illustration purposes, high resolution micrographs were acquired with an Olympus Slideview VS200 slide scanner and the Olyvia 3.3 software. All NM-positive neurons in a representative SNpc middle section exhibiting high numbers of NM-containing neurons were analysed by means of optical densitometry using ImageJ software (RRID:SCR_003070; https://imagej.net/) to quantify the intracellular density of NM pigment, as previously reported.5 The pixel brightness values for all individual NM-positive cells (excluding the nucleus) in all acquired images were measured and corrected for non-specific background staining by subtracting values obtained from the neuropil in the same images. Equivalent anatomical levels (based on Paxinos and Watson19) were analysed across animals. All quantifications were performed by an investigator blinded to the experimental groups.

Chromatographic determination of dopaminergic metabolites in brain samples

UPLC-MS/MS analysis of rat brain regions was performed using our previously validated method20 with some modifications. Each sample was injected three times into the UPLC-MS/MS system to analyse different sets of compounds i.e. MIX1, MIX2 and MIX3. MIX1 included DA, 3-methoxytyramine (3MT), 3,4-dihydroxyphenylalanine (L-DOPA) and aminochrome (AC); MIX2 included 3,4-dihydroxyphenylacetic acid (DOPAC) and MIX3 included 5-S-cysteinyldopa (5SCD) and 5-S-cysteinyldopamine (5SCDA). IS was added to every set of compounds. 5SCD and 5SCDA standards were kindly donated by Professor Kazumasa Wakamatsu and Professor Shosuke Ito at the Fujita Health University, Aichi, Japan. Aminochrome standard (0.5 mM) was freshly prepared as previously described.20,21 Multiple Reaction Monitoring (MRM) acquisition settings for the targeted metabolites are summarized in Table 2. Samples with a concentration between LOD and LOQ or bigger than LOQ were considered acceptable; samples with a concentration lower than LOD were considered as the LOD value. Data were normalized by the protein concentration and presented as the percentage of the contralateral concentration or ratio.

Table 2.

MRM acquisition settings

Analyte Transition (m/z) Retention time (min) D (ms) CV (V) CE (eV) CpV (kV)
DA4d (IS) 157.83 > 94.8 1.44 52 10 20 0.5
DA 153.93 > 90.57 1.46 52 10 20 0.5
L-DOPA 198.1 > 152.1 1.48 52 15 15 0.5
5SCDA 273.1 > 166.9 1.73 58 20 20 0.5
5SCDA 317 > 154.86 2.01 58 24 30 0.5
3MTa 150.7 > 90.96 3.09 52 35 20 0.5
AC 149.61 > 121.91 3.36 52 25 25 0.5
DOPACb 166.99 > 122.82 3.72 56 18 22 2

CE = collision energy; CV = cone voltage; CpV = capillary voltage; D = dwell time.

Parent mass after loss of water.

Detected in negative mode.

Cylinder behavioural test

Rats were tested for left and right forepaw use with the cylinder test 1 week before surgery and at 2 and 6 months after viral injection. The number of animals for each condition was VMAT2 (n = 7), TYR (n = 8) and TYR+VMAT2 (n = 7–8). For the performance of the cylinder test, rats were first allowed to habituate to the experimental room for at least 1 h before each test. Then, rats were put in a glass cylinder and the total number of left and right forepaw touches performed within 5 min was counted. Data are presented as the percentage of the contralateral paw usage. Behavioural equipment was cleaned with 70% ethanol after each test session to avoid olfactory cues. All behavioural tests were performed during the light cycle by an investigator blinded to the experimental groups.

Human tyrosinase gene expression

Total RNA was extracted from dissected ipsilateral and contralateral vMB from AAV-TYR-injected rats using mirVana PARIS RNA and Native Protein Purification Kit (Thermo Fisher Scientific # AM1556). RNA concentration was determined using a NanoDrop ND-1000 Spectrophotometer. Total RNA (0.5 µg) was retrotranscribed using a High-Capacity cDNA Reverse Transcription Kit (Thermo Fisher Scientific # 4368814). qPCR was performed with 10 ng of cDNA per well in technical triplicates mixed with Taqman Gene Expression Master Mix (Applied Biosystems, # 4369016) and Taqman gene expression assays [human TYR (Hs00165976_m1, Applied Biosystems)] using standard procedures in a 7900HT Fast Real Time Instrument (Applied Biosystems). Thresholds cycles (Cts) for each target gene were normalized to an endogenous reference gene (Gapdh Mm99999915_g1, Rpl19 Mm02601633_g1 and Ppia Mm02342430_g1). Water was included in the reaction as a non-template (negative) control. The relative expression was calculated with the ΔCt-method.

Statistical analysis

Statistical analyses were performed with GraphPad Prism v6 software (RRID:SCR_002798; http://www.graphpad.com/). No statistical methods were used to predetermine sample size but our sample sizes were equivalent to those reported in previous similar publications.5 Outlier values were identified by the ROUT test and excluded from the analyses when applicable. Selection of the pertinent data representation and statistical test for each experiment was determined after formally testing for normality with the Shapiro–Wilk normality test. Accordingly, differences among means or medians were analysed either by one- or two-way ANOVA, Kruskal–Wallis ANOVA on ranks or Mann–Whitney rank sum test, as appropriate and indicated in each figure legend. When ANOVA showed significant differences, pairwise comparisons between means were subjected to Tukey’s post hoc testing for multiple comparisons. Values are expressed either as mean ± standard error of the mean (SEM) or presented as box plots, with minimum, maximum and median indicated, depending on the performance of parametric or non-parametric analyses, respectively. In all analyses, the null hypothesis was rejected at the 0.05 level.

Data availability

Full datasets can be found at Zenodo repository (https://doi.org/10.5281/zenodo.7075026).

Results

VMAT2 overexpression reduces catechol oxidation, NM production and LB-like inclusion formation in humanized rats

To determine first whether VMAT2 overexpression was able to boost DA vesicular uptake in vivo, adult rats received a single unilateral stereotaxic injection of an AAV expressing flagged human VMAT2 (AAV-VMAT2) above the right SNpc (Fig. 1A). In these animals, conspicuous exogenous VMAT2 expression was observed in ipsilateral SNpc and striatum at 1 month post-AAV injection, as assessed by Flag immunohistochemistry (Fig. 1B). Overexpressed VMAT2 proved to be functionally active, as demonstrated by (i) an enhanced striatal DA storage accompanied by a decreased DA metabolism22; and (ii) a ∼2-fold increase in striatal DA:L-DOPA ratio, an index of DA vesicular uptake,23 measured by UPLC-MS/MS at 2 months post-AAV injection (Fig. 1C and Supplementary Table 1).

Figure 1.

Figure 1

Overexpression of functional VMAT2 in the nigrostriatal pathway of rats. (A) Schematic representation of the site of AAV-VMAT2 unilateral stereotaxic injection above the SN of the rat brain. (B) Left: Representative images of nigral (top) and striatal (bottom) Flag-VMAT2 immunolabelling ipsilateral to the injection in AAV-VMAT2-injected rats at 1 month post-AAV injection. Right, representative images of TH-Flag colocalization in ipsilateral SNpc of AAV-VMAT2-injected rats at 1 month post-AAV injection. Scale bar = 50 µm (top), 10 µm (bottom). (C) Quantification of striatal DA vesicular uptake by UPLC-MS/MS in AAV-VMAT2-injected rats at 2 months post-AAV injection, as calculated by the ratio between striatal DA:L-DOPA levels.23 Values are mean ± SEM. *P < 0.05 versus contralateral (non-injected) side; Two-tailed t-test. n = 8 animals per group. Drawing in A was created with BioRender.com.

After confirming that we are able to overexpress functional VMAT2 in vivo, we next assessed whether nigrostriatal VMAT2 overexpression in NM-producing rats could increase DA vesicular uptake and reduce the rate of non-encapsulated DA oxidation into NM precursors. To address this question, AAV-VMAT2 and AAV-TYR were co-injected above the rat SNpc (Fig. 2A, Supplementary Fig. 2 and Supplementary Table 2), with additional groups of animals receiving equivalent amounts of either AAV-TYR or AAV-VMAT2 separately. In AAV-TYR-injected rats, we have previously reported that intracellular NM starts reaching pathological levels at 2 months post-AAV injection, at which time these animals exhibit early functional defects, including impaired DA release and motor deficits, prior to degeneration.5 Here we found, similar to PD patients,15,24 that early functional changes in AAV-TYR melanized rats are accompanied by a downregulation of endogenous vmat2 levels, as shown by a reduction of vmat2 expression within NM-containing neurons (Fig. 2A and Supplementary Table 3), and alterations in nigrostriatal DA homeostasis, such as reduced DA vesicular uptake, decreased DA levels, increased DA metabolism and enhanced catechol oxidation (Fig. 2B–E, Supplementary Fig. 3 and Supplementary Tables 4 and 5). Remarkably, all these pathological changes were prevented by overexpressing VMAT2 in these animals (Fig. 2A–E and Supplementary Tables 4 and 5).

Figure 2.

Figure 2

Reduced catechol oxidation, NM accumulation and LB-like pathology by VMAT2 overexpression in NM-producing rats. (A) Left: Schematic representation of the site of AAV-VMAT2, AAV-TYR or AAV-VMAT2+AAV-TYR unilateral stereotaxic injection above the SN of the rat brain. Middle left: Quantification of contralateral and ipsilateral SNpc neurons immunopositive for VMAT2 (including VMAT2+NM+ and VMAT2+NM) in AAV-VMAT2, AAV-TYR and AAV-TYR+AAV-VMAT2-injected rats at 2 months post-AAV injections. Middle right: Representative contralateral and ipsilateral VMAT2-immunostained SNpc sections from these animals are shown in micrographs. Scale bar = 20 µm. Right: Ipsilateral VMAT2NM+ neurons versus total DA neurons (including VMAT2+NM+, VMAT2+NM and VMAT2NM+ neurons) as an index of VMAT2 downregulation. (BE) UPLC-MS/MS quantification of: (B) DA vesicular uptake, calculated as DA:L-DOPA; (C) DA levels; (D) DA metabolism, calculated as (3MT + DOPAC):DA; (E) catechol oxidation, calculated as [5SCD:L-DOPA] + [(5SCDA + AC):DA] in vMB and striatal samples from AAV-VMAT2, AAV-TYR and AAV-TYR+AAV-VMAT2-injected animals at 2 months post-AAV injections. Results represent ipsilateral levels shown as the percentage of the contralateral (non-injected) side. Values are mean ± SEM. (F) Left: Quantification of intracellular NM levels by optical densitometry in ipsilateral SNpc DA neurons of AAV-TYR and AAV-TYR+AAV-VMAT2-injected rats at 2 months post-AAV injections. Dotted red line indicates the previously reported pathogenic threshold of intracellular NM accumulation.5Middle: Representative images of 5- µmthick H&E-stained nigral sections from these animals (unstained NM in brown). Scale bar = 10 µm. Right: Percentage of the neuronal cytosolic area occupied by NM in AAV-TYR and AAV-TYR+AAV-VMAT2-injected rats at 2 months post-AAV injections. Values are median + min to max. (G) Left: Quantification of the number of NM-filled neurons exhibiting p62-positive LB-like cytosolic inclusions in AAV-TYR and AAV-TYR+AAV-VMAT2-injected rats at 2 months post-AAV injections. Values are median + min to max. Right: Representative confocal images of a melanized TH+ neuron with a LB-like inclusion immunopositive for p62 in the SNpc of a AAV-TYR-injected rat. BF = brightfield. Scale bar = 10 µm. In A, middle left *P < 0.05 versus respective contralateral side; $P < 0.05 versus ipsilateral VMAT2; two-way ANOVA with Tukey’s post hoc test; middle right#P < 0.05 versus TYR; two-tailed t-test n = 7 (VMAT2), n = 5 (TYR), n = 8 (TYR+VMAT2) animals. In BE, *P < 0.05 versus VMAT2; #P < 0.05 versus TYR; one-way ANOVA with Tukey’s post hoc test. n = 6–8 (VMAT2), n = 6–8 (TYR), n = 6–8 (TYR+VMAT2) animals. In FG, *P < 0.05 versus TYR; Mann–Whitney test. n = 594 neurons from n = 8 AAV-TYR-injected animals and n = 180 neurons from n = 8 AAV-TYR+AAV-VMAT2-injected animals. The drawing in A was created with BioRender.com.

When oxidized, tyrosine, L-DOPA or DA produce dopaquinone or dopamine-o-quinone that will act as precursors for either the eumelanin (brown) and/or the pheomelanin (reddish) melanic components of NM (Supplementary Fig. 3). Thus, we next assessed whether attenuated catechol oxidation in VMAT2/TYR co-injected animals was associated to a reduced NM production. Quantification of intracellular NM optical density within individual SNpc neurons, which reflects NM levels,3,25 revealed that intracellular NM density was significantly decreased in SNpc neurons of TYR+VMAT2 rats, compared to AAV-TYR-injected animals (Fig. 2F). While intracellular NM optical density could be influenced by potential changes in NM composition, independently of the actual levels of NM, we also observed a significant reduction in the percentage of cytosolic neuronal area occupied by NM in TYR +VMAT2 animals compared to their TYR counterparts (Fig. 2F), indicating an actual decrease of NM levels in these animals. Importantly, VMAT2 overexpression reduced intracellular NM to levels below the pathogenic NM threshold previously identified in NM-producing animals5 (Fig. 2F, red dotted line). Above this threshold, in addition to the functional defects reported earlier, NM-laden neurons develop LB-like inclusions (Fig. 2G and Supplementary Table 3), a hallmark of PD pathology closely associated to NM accumulation.5,26,27 LB-like inclusions in NM-producing rats are immunopositive for p62, a common component of LBs in PD brains,28 and were previously reported to peak at 2 months post-AAV-TYR injection, thus coinciding with functional alterations and preceding neurodegeneration in these animals.5 Importantly, the reduction of intracellular NM levels by VMAT2 overexpression was accompanied with attenuated LB-like inclusion formation in these neurons (Fig. 2G and Supplementary Table 3). Taken together, these results demonstrate that VMAT2 overexpression is able to restore DA homeostasis, reduce NM production/accumulation and attenuate LB-like pathology in vivo.

VMAT2 overexpression prevents NM-linked neurodegeneration

In NM-producing rats, early functional defects observed at 2 months are followed by progressive nigrostriatal neurodegeneration beginning at 4 months post-AAV-TYR injection.5 To determine whether decreased DA oxidation and subsequent reduction in NM accumulation achieved by VMAT2 overexpression were associated with preserved neuronal integrity, we assessed the long-term effects of VMAT2 overexpression in NM-producing rats at 6 months post-AAV-TYR injection, once nigrostriatal degeneration is well-established in this animal model.5 By this time, NM-producing rats exhibited a ∼90% reduction in ipsilateral SNpc TH-positive neurons that was markedly attenuated by concomitant VMAT2 overexpression (Fig. 3A and Supplementary Table 6). Similar to PD brains, NM-producing rats also exhibited a phenotypic loss of TH expression within NM-laden neurons, which reflects neuronal dysfunction at early stages of neurodegeneration,1 as shown by an increased percentage of TH-immunonegative neurons within the total population of NM-containing neurons (Fig. 3B and Supplementary Table 6). Interestingly, VMAT2 overexpression greatly attenuated TH downregulation occurring within pigmented neurons, indicating a functional preservation of these neurons (Fig. 3B and Supplementary Table 6). To distinguish between the effects of VMAT2 on TH downregulation and on actual cell death, we assessed the number of total SNpc DA neurons (including TH-immunopositive and TH-immunonegative pigmented SNpc neurons), which confirmed the ability of VMAT2 overexpression to prevent NM-linked SNpc DA neurodegeneration in NM-producing rats (Fig. 3C and Supplementary Table 6). Overall, these results indicate that VMAT2 overexpression is able to prevent neuronal dysfunction and degeneration linked to excessive NM production/accumulation.

Figure 3.

Figure 3

VMAT2 overexpression prevents SNpc neurodegeneration in NM-producing rats. Stereological nigral cell counts of (A) TH+ neurons, (B) THNM+ neurons versus total NM+ neurons (including TH+NM+ and THNM+ neurons) as an index of TH downregulation and (C) total DA neurons (including TH+NM+, TH+NM and THNM+ neurons) in AAV-VMAT2, AAV-TYR and AAV-TYR+AAV-VMAT2-injected rats at 6 months post-AAV injections. (D) Representative images of TH-positive neurons (TH in blue, unstained NM in brown), in which THNM+ (black arrowhead) and TH+NM+ (white arrowhead) neurons are indicated for identification purposes. Scale bars = 200 µm and 20 µm (inset). Values are mean ± SEM. *P < 0.05 versus ipsilateral VMAT2; #P < 0.05 versus ipsilateral TYR; $P < 0.05 versus respective contralateral side; &P < 0.05 versus TH+NM+; Two-way ANOVA with Tukey’s post hoc test. n = 7 (VMAT2), n = 8 (TYR) and n = 7 (TYR+VMAT2) animals.

Attenuated neurodegeneration by VMAT2 overexpression is associated to decreased extracellular NM debris and inflammation

Concomitant with SNpc pigmented cell death, both PD brains and NM-producing rats exhibit abundant extracellular NM released from dying neurons, some of which is surrounded by, or contained within activated microglia, indicative of an active, ongoing neurodegenerative process (i.e. neuronophagia).5,29 In this context, the marked neuroprotective effect provided by VMAT2 overexpression in NM-producing rats at 6 months post-AAV injection was associated to a drastic reduction of extracellular NM in these animals (Fig. 4A). Microglial cells are the main players in the recognition, engulfment and clearance of extracellular NM.29,30 In agreement with this, the number of microglial cells with non-reactive (ramified) and phagocytic/reactive (large amoeboid de-ramified) morphology was markedly increased in AAV-TYR-injected rats in association to extracellular NM and concomitant to cell death (Fig. 4B and Supplementary Table 6). By attenuating neurodegeneration and subsequent accumulation of extracellular NM, VMAT2 overexpression was associated to a diminished microglial activation in these animals (Fig. 4B and Supplementary Table 6). Similarly, VMAT2 overexpression also precluded the recruitment of CD68-positive cells occurring in NM-producing animals, corresponding to tissue-resident or blood-borne macrophages with phagocytic activity that are found in close association with extracellular NM (Fig. 4C and Supplementary Table 6). Additional inflammatory changes observed in NM-producing rats included increased astrocyte reactivity, widely distributed within the SNpc, which was also markedly attenuated by VMAT2 overexpression (Fig. 4D). Taken together, these results reveal that, by reducing cell death and subsequent NM release from dying neurons, VMAT2 overexpression is able to prevent the overall PD-like inflammatory response linked to the accumulation of extracellular NM.

Figure 4.

Figure 4

VMAT2 overexpression reduces extracellular NM debris and inflammation in the SNpc of NM-producing rats. Quantification of (A) extracellular NM clusters; (B) Iba1+ non-reactive (left) and reactive (right) microglia; (C) CD68+ cells; (D) GFAP+ astrocytes, in AAV-VMAT2, AAV-TYR and AAV-TYR+AAV-VMAT2-injected rats at 6 months post-AAV injections. Photomicrographs correspond to representative images of (A) H&E-stained SNpc sections (unstained NM in brown) and (BD) immunostained SNpc sections for Iba1, CD68 or GFAP (in blue, unstained NM in brown). Scale bars = 10 µm (A, insets in BD), 200 µm (BD). In A, values are median + min to max. In BD, values are mean ± SEM. *P < 0.05 versus ipsilateral VMAT2; #P < 0.05 versus ipsilateral TYR; $P < 0.05 versus contralateral side; Mann–Whitney test (A) or two-way ANOVA with Tukey’s post hoc test (BD). n = 7 (VMAT2), n = 8 (TYR), n = 7 (TYR+VMAT2) animals.

Preservation of striatal DA levels and metabolism by VMAT2 overexpression prevents motor deficits in NM-producing rats

We next determined whether the neuroprotective effects of VMAT2 overexpression on SNpc DA neuron cell bodies were accompanied by a preservation of striatal DA levels in NM-producing rats. At 6 months post-AAV-TYR injections, concomitant to SNpc neurodegeneration, NM-producing rats exhibited a marked reduction of striatal DA levels as assessed by UPLC-MS/MS (Fig. 5A and Supplementary Table 7). Consistent with its effect at preserving DA nigral cell bodies, VMAT2 overexpression also prevented the loss of striatal DA in these animals (Fig. 5A and Supplementary Table 7). The preservation of striatal DA levels by VMAT2 overexpression was associated to a re-established striatal DA vesicular uptake, reduced DA metabolism and decreased catechol oxidation in these animals (Fig. 5B–D and Supplementary Table 7). Confirming a functional preservation of the nigrostriatal circuit, VMAT2 overexpression prevented contralateral forepaw hypokinesia occurring in NM-producing rats, both at 2 and 6 months post-AAV injections (Fig. 5E). Collectively, these results demonstrate the ability of VMAT2 overexpression to provide a morphological and functional long-term preservation of the nigrostriatal pathway in vivo in a humanized PD model.

Figure 5.

Figure 5

VMAT2 overexpression preserves striatal DA levels and motor function in NM-producing rats. UPLC-MS/MS quantification of striatal (A) DA levels; (B) DA vesicular uptake, calculated as DA:L-DOPA ratio; (C) DA metabolism, calculated as (3MT + DOPAC):DA ratio; (D) catechol oxidation, calculated as [5SCD:L-DOPA] + [(5SCDA + AC):DA] ratio, in AAV-VMAT2, AAV-TYR and AAV-TYR+AAV-VMAT2-injected animals at 6 months post-AAV injections. Results represent ipsilateral levels shown as the percentage of the contralateral (non-injected) side. (E) Contralateral forepaw use as assessed with the cylinder asymmetry test at 2 and 6 months post-AAV injections. Values are mean ± SEM. *P < 0.05 versus VMAT2; #P < 0.05 versus TYR, one-way ANOVA with Tukey’s post hoc test. n = 7 (VMAT2), n = 7–8 (TYR), n = 7–8 (TYR+VMAT2) animals.

Discussion

Modulation of VMAT2 activity has been in the spotlight as a potential therapeutic strategy for a wide range of diseases involving disturbances of DA metabolism and/or signalling, from addiction, schizophrenia or depression to neurodegenerative diseases such as PD.6,31,32 However, while some well-characterized pharmacological inhibitors of VMAT2 are available, such as reserpine and tetrabenazine, positive modulators of VMAT2 function are currently lacking.33 Here, we found that viral vector-mediated VMAT2 overexpression provides therapeutic benefit in parkinsonian NM-producing rats by maintaining DA homeostasis, reducing potentially toxic DA oxidized species and preventing excessive age-dependent NM accumulation. The latter, in particular, represents the first demonstration that age-dependent NM production and subsequent intracellular buildup can be slowed down for therapeutic purposes in vivo. Indeed, until the recent introduction of the first rodent model of NM production,5 NM had not been taken into account in experimental PD in vivo modelling, despite the fact that this pigment has long been established as a major vulnerability factor for PD-linked neurodegeneration.34 This new melanized animal model revealed that continuous, age-dependent intracellular build-up of NM within autophagic structures ultimately leads to a general failure of cellular proteostasis associated to major PD-like features, including motor deficits, LB-like inclusion formation and nigrostriatal neurodegeneration.5 Here we show that all these pathological PD-like features can be prevented or attenuated in these animals when lowering intracellular NM to levels below its pathogenic threshold by VMAT2 overexpression (see summary Supplementary Fig. 4). Relevant to PD, it has been reported in post-mortem human brains that midbrain DA neurons with the highest VMAT2 protein expression exhibit the lowest NM levels and are the least vulnerable to PD-linked neurodegeneration.13 Conversely, the most vulnerable human midbrain DA neurons accumulate the most NM and have the lowest VMAT2 levels.13

Because VMAT2 overexpression reduces intracellular NM levels by decreasing free cytosolic DA that can subsequently oxidize into NM, the beneficial effects of VMAT2 could be related to reduced levels of potentially toxic oxidized DA species that serve as NM precursors. In particular, tyrosine, L-DOPA or DA-derived [o-]quinones, which are rapidly transformed into NM, have long been proposed as potential pathogenic factors in PD.7 In fact, NM synthesis is regarded as a protective antioxidant mechanism by trapping cytosolic quinones and semiquinones in lysosome-associated organelles so that they are no longer reactive with cytosolic components.35 However, while high concentrations of DA can be acutely toxic in vitro,36 the chronic enhancement of DA levels and oxidation does not cause DA nerve terminal or cell body loss in vivo.37–39 For instance, chronic L-DOPA treatment37,38 or genetic enhancement of TH activity39 in rodents, both resulting in increased levels of DA and oxidized DA species, are not toxic to regular, wild-type animals but only to animals displaying additional PD-related alterations, such as DJ-1 deficiency37 or A53T α-synuclein overexpression.39 Relevant to humans, there is no clinical evidence for L-DOPA being neurotoxic and detrimental to the progression of PD symptoms.40 In addition, antioxidant strategies have systematically failed to provide any therapeutic benefit in PD clinical trials.41 Even if NM synthesis per se was initially neuroprotective, its long-term accumulation until occupying most of the neuronal cytoplasm has deleterious consequences by physically interfering with intracellular communication42–44 and impairing proteostasis.5,34 In fact, L-DOPA seems to be toxic in vitro only at doses associated with NM formation,36 which has been attributed to an interference by NM with intracellular neurotrophin signalling, and not to an acute toxic effect of L-DOPA per se.45 Consistent with a macromolecular crowding effect linked to progressive NM accumulation, in-depth ultrastructural analyses have revealed that Lewy pathology in NM-containing neurons from PD brains mostly consists of a crowded environment of vesicular structures and dysmorphic organelles.27 In agreement with this, here we found that decreased intracellular NM levels by VMAT2 overexpression was associated to reduced PD-like inclusion formation in vivo. In any case, any putative contribution of these species to NM-linked PD pathology would be therapeutically targeted by VMAT2 overexpression, as the latter reduces both oxidized DA species and age-dependent NM accumulation.

The regulation of the balance of cytosolic DA levels is complex and involves an interplay between different processes. From one hand, VMAT2-mediated DA encapsulation into synaptic vesicles and MAO-mediated DA metabolism decrease cytosolic DA levels.46 On the other hand, DAT-mediated reuptake of extracellular DA47–49; DA leaking from synaptic vesicles46 and TH-mediated DA synthesis increase cytosolic DA levels. While TYR can mediate L-DOPA synthesis from tyrosine,46 and thus potentially accelerate DA production, it is disputed whether TYR is actually present in the human brain and, if so, it is in small quantity and with unclear function.50–54 In TYR animals, the overall levels of cytosolic DA are not expected to remain significantly increased due to the feedback inhibition of cytosolic DA on TH22,55 and the transient condition of cytosolic DA, which is either rapidly metabolized or oxidized. In fact, in these animals TYR promotes the continuous oxidation of cytosolic DA into NM. In addition, the progressive accumulation of NM was associated to a marked downregulation of VMAT2 and TH that may contribute to the decreased DA vesicular uptake and vesicular DA levels56 observed in these animals. Furthermore, we have previously reported that striatal DAT levels are decreased by ∼70% in AAV-TYR-injected animals by 2 months post-AAV-TYR injections,5 which concur with neuroimaging in vivo analyses in PD patients exhibiting reductions in DAT striatal density at early stages of the disease.57 In this context, it is important to recall that DAT is also expressed in astrocytes and macrophages, which contribute to DA clearance from the synaptic cleft.48,49 The increased number of CD68- and GFAP-positive cells in AAV-TYR-injected animals could thus favor an increased DA uptake and metabolism in glial cells, which is consistent with increased 3MT levels observed in the ventral midbrain of AAV-TYR-injected animals at 2 months post-AAV injection (Supplementary Table 6) and that could restrict the amount of DA available to be re-uptaken by neuronal DAT. All these changes in DA metabolism, combined with the progressive buildup of NM within the neuronal cytosol, may potentially contribute to the vulnerability of the dopaminergic system in TYR animals and in PD patients.

In addition to attenuate nigrostriatal neurodegeneration, VMAT2 overexpression also mitigated the phenotypic loss of TH expression that occurs within NM-laden neurons at early stages of degeneration. Indeed, despite the general notion that the number of DA neurons are reduced in PD, NM-containing neurons from both PD patients and parkinsonian NM-producing rats exhibit an early phenotypic loss of TH expression, associated to impaired DA release and early motor deficits, prior to degeneration.5,58 In agreement with this, genetic disruption of mitochondrial complex I in mice has been recently reported to induce progressive parkinsonism in which TH downregulation and defective DA release in both striatal terminals and SNpc neuronal cell bodies precede neurodegeneration.59 The occurrence of neuronal dysfunction before overt cell death and its restoration by VMAT2 may have important therapeutic implications, as it provides a therapeutic window in which neuronal function can be restored before the actual loss of the cell. The preservation of neuronal function by VMAT2 overexpression was not limited to a protection of nigrostriatal DA fibres and a maintenance of TH protein expression but also to a direct effect at maintaining DA homeostasis/metabolism, all of which resulted in an early and long-lasting preservation of the motor function in NM-producing parkinsonian rats. Importantly, overexpression of VMAT2 by itself did not alter the normal motor function in non-parkinsonian (control) animals. This is in agreement with previous studies in VMAT2-overexpressing transgenic mice.60 Indeed, while VMAT2 overexpression has been reported to increase DA quantal size and DA release,61 which could theoretically result in behavioural changes, VMAT2 overexpression in transgenic mice did not result in any dramatic behavioural phenotype, as measured by motor, sensory, affective, appetitive, or social assays.60 From a translational point of view, these observations support the feasibility and safety of increasing VMAT2 function as a potential therapeutic strategy in humans.

Overall, our results demonstrate for the first time the feasibility and therapeutic potential of modulating NM production in vivo by modifying DA homeostasis/metabolism with VMAT2. These results open the possibility of targeting NM production to prevent or delay PD by slowing down the progressive accumulation of NM that occurs with age. Such a strategy would represent a conceptually novel therapeutic approach for PD and, in a broader sense, brain ageing. There are, however, some limitations of this study. For instance, by concomitantly injecting AAV-VMAT2 and AAV-TYR, the production of NM was slowed down from its initial synthesis, thus being able to prevent or delay disease onset. It remains to be determined whether in a PD patient in which intracellular NM has already reached pathological levels, VMAT2 would be able to halt or delay disease progression. Finally, while we have shown a beneficial effect of VMAT2 overexpression up to 6 months post-AAV injection, we do not know how much longer this beneficial effect would potentially last. Indeed, VMAT2 overexpression may slow down but not completely halt NM production, so NM could continue to steadily accumulate with age despite VMAT2 overexpression, although at a slower rate. To overcome this limitation, VMAT2 overexpression could be potentially combined with strategies aimed at eliminating intracellular NM once it has already been produced, such as by overexpression of autophagy master regulator TFEB, which we have recently shown to promote the clearance of NM-filled autophagic structures.62

Supplementary Material

awac445_Supplementary_Data

Acknowledgements

We are grateful to Dr Iria Carballo-Carbajal for helping prepare the AAV-VMAT2, to Professor Kazumasa Wakamatsu and Professor Shosuke Ito (Fujita Health University, Aichi, Japan) for providing both SCD and 5SCDA standards and to the U20/FVPR unit of ICTS-NANBIOSIS at the VHIR (Barcelona, Spain) for assistance in histological processing.

Contributor Information

Marta Gonzalez-Sepulveda, Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR)-Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), 08035 Barcelona, Spain; Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Joan Compte, Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR)-Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), 08035 Barcelona, Spain; Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Thais Cuadros, Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR)-Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), 08035 Barcelona, Spain; Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Alba Nicolau, Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR)-Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), 08035 Barcelona, Spain; Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Camille Guillard-Sirieix, Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR)-Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), 08035 Barcelona, Spain; Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Núria Peñuelas, Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR)-Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), 08035 Barcelona, Spain; Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Marina Lorente-Picon, Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR)-Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), 08035 Barcelona, Spain; Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Annabelle Parent, Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR)-Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), 08035 Barcelona, Spain; Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Jordi Romero-Giménez, Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR)-Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), 08035 Barcelona, Spain.

Joana M Cladera-Sastre, Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR)-Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), 08035 Barcelona, Spain; Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA.

Ariadna Laguna, Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR)-Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), 08035 Barcelona, Spain; Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA; Institut de Neurociències (INc-UAB), Autonomous University of Barcelona, 08193 Bellaterra, Barcelona, Spain.

Miquel Vila, Neurodegenerative Diseases Research Group, Vall d’Hebron Research Institute (VHIR)-Center for Networked Biomedical Research on Neurodegenerative Diseases (CIBERNED), 08035 Barcelona, Spain; Aligning Science Across Parkinson’s (ASAP) Collaborative Research Network, Chevy Chase, MD 20815, USA; Institut de Neurociències (INc-UAB), Autonomous University of Barcelona, 08193 Bellaterra, Barcelona, Spain; Department of Biochemistry and Molecular Biology, Autonomous University of Barcelona, 08193 Bellaterra, Barcelona, Spain; Catalan Institution for Research and Advanced Studies (ICREA), 08010 Barcelona, Spain.

Funding

This research was funded in whole or in part by Aligning Science Across Parkinson’s [ASAP-020505] through the Michael J. Fox Foundation for Parkinson’s Research (MJFF). For the purpose of open access, the author has applied a CC-BY 4.0 public copyright license to all Author Accepted Manuscripts arising from this submission. Additional funding sources: La Caixa Foundation, Spain (INPhINIT fellowship, code LCF/BQ/DI18/1166063 to J.C.; Junior Leader Fellowship LCF/BQ/PR19/11700005 to A.L.; Health Research Grant, ID 100010434 under the agreement LCF/PR/HR17/52150003 to M.V.). The Michael J. Fox Foundation for Parkinson's Research, USA (MJFF-007184 and MJFF-001059 to M.V.). Ministry of Science and Innovation (MICINN), Spain (PID2020-116339RB-I00 to M.V.). EU Joint Programme Neurodegenerative Disease Research (JPND), Instituto de Salud Carlos III, EU/Spain (AC20/00121 to M.V.).

Competing interests

The authors report no competing interests.

Supplementary material

Supplementary material is available at Brain online.

References

  • 1. Hirsch E, Graybiel AM, Agid YA. Melanized dopaminergic neurons are differentially susceptible to degeneration in Parkinson’s disease. Nature. 1988;334:345–348. [DOI] [PubMed] [Google Scholar]
  • 2. Hirsch EC, Graybiel AM, Agid Y. Selective vulnerability of pigmented dopaminergic neurons in Parkinson’s disease. Acta Neurol Scand Suppl. 1989;126:19–22. [DOI] [PubMed] [Google Scholar]
  • 3. Kastner A, Hirsch EC, Lejeune O, Javoy-Agid F, Rascol O, Agid Y. Is the vulnerability of neurons in the substantia Nigra of patients with Parkinson’s disease related to their neuromelanin content? J Neurochem. 1992;59:1080–1089. [DOI] [PubMed] [Google Scholar]
  • 4. Barden H, Levine S. Histochemical observations on rodent brain melanin. Brain Res Bull. 1983;10:847–851. [DOI] [PubMed] [Google Scholar]
  • 5. Carballo-Carbajal I, Laguna A, Romero-Giménez J, et al. Brain tyrosinase overexpression implicates age-dependent neuromelanin production in Parkinson’s disease pathogenesis. Nat Commun. 2019;10:973. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6. Segura-Aguilar J, Paris I, Muñoz P, Ferrari E, Zecca L, Zucca FA. Protective and toxic roles of dopamine in Parkinson’s disease. J Neurochem. 2014;129:898–915. [DOI] [PubMed] [Google Scholar]
  • 7. Monzani E, Nicolis S, Dell’Acqua S, et al. Dopamine, oxidative stress and protein–quinone modifications in Parkinson’s and other neurodegenerative diseases. Angew Chemie Int Ed Engl. 2019;58:6512–6527. [DOI] [PubMed] [Google Scholar]
  • 8. Pillaiyar T, Manickam M, Jung SH. Downregulation of melanogenesis: Drug discovery and therapeutic options. Drug Discov Today. 2017;22:282–298. [DOI] [PubMed] [Google Scholar]
  • 9. Chen L, Ding Y, Cagniard B, et al. Unregulated cytosolic dopamine causes neurodegeneration associated with oxidative stress in mice. J Neurosci. 2008;28:425–433. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Cartier EA, Parra LA, Baust TB, et al. A biochemical and functional protein complex involving dopamine synthesis and transport into synaptic vesicles. J Biol Chem. 2010;285:1957–1966. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11. Erickson JD, Eiden LE. Functional identification and molecular cloning of a human brain vesicle monoamine transporter. J Neurochem. 1993;61:2314–2317. [DOI] [PubMed] [Google Scholar]
  • 12. Liu Y, Edwards RH. The role of vesicular transport proteins in synaptic transmission and neural degeneration. Annu Rev Neurosci. 1997;20:125–156. [DOI] [PubMed] [Google Scholar]
  • 13. Liang CL, Nelson O, Yazdani U, Pasbakhsh P, German DC. Inverse relationship between the contents of neuromelanin pigment and the vesicular monoamine transporter-2: Human midbrain dopamine neurons. J Comp Neurol. 2004;473:97–106. [DOI] [PubMed] [Google Scholar]
  • 14. Miller GW, Erickson JD, Perez JT, et al. Immunochemical analysis of vesicular monoamine transporter (VMAT2) protein in Parkinson’s disease. Exp Neurol. 1999;156:138–148. [DOI] [PubMed] [Google Scholar]
  • 15. Pifl C, Rajput AHA, Reither H, et al. Is Parkinson’s disease a vesicular dopamine storage disorder? Evidence from a study in isolated synaptic vesicles of human and nonhuman primate Striatum. J Neurosci. 2014;34:8210–8218. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16. Sala G, Brighina L, Saracchi E, et al. Vesicular monoamine transporter 2 mRNA levels are reduced in platelets from patients with Parkinson’s disease. J Neural Transm. 2010;117:1093–1098. [DOI] [PubMed] [Google Scholar]
  • 17. Glatt CE, Wahner AD, White DJ, Ruiz-Linares A, Ritz B. Gain-of-function haplotypes in the vesicular monoamine transporter promoter are protective for Parkinson disease in women. Hum Mol Genet. 2006;15:299–305. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Bucher ML, Barrett CW, Moon CJ, et al. Acquired dysregulation of dopamine homeostasis reproduces features of Parkinson’s disease. NPJ Park Dis. 2020;6:34. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19. Paxinos G, Watson C. The Rat Brain in Stereotaxic Coordinates. 5th ed. Elsevier; 2004. [DOI] [PubMed] [Google Scholar]
  • 20. Gonzalez-Sepulveda M, Laguna A, Carballo-Carbajal I, et al. Validation of a reversed phase UPLC-MS/MS method to determine dopamine metabolites and oxidation intermediates in neuronal differentiated SH-SY5Y cells and brain tissue. ACS Chem Neurosci. 2020;11:2679–2687. [DOI] [PubMed] [Google Scholar]
  • 21. Lemos-Amado F, Domingues P, Ferrer-Correia A, et al. Electrospray tandem mass spectrometry of aminochromes. Rapid Commun Mass Spectrom. 2001;15:2466–2471. [DOI] [PubMed] [Google Scholar]
  • 22. González-Sepúlveda M, Omar MY, Hamdon S, et al. Spontaneous changes in brain striatal dopamine synthesis and storage dynamics ex vivo reveal end-product feedback-inhibition of tyrosine hydroxylase. Neuropharmacology. 2022;212:109058. [DOI] [PubMed] [Google Scholar]
  • 23. Goldstein DS, Sullivan P, Holmes C, et al. Determinants of buildup of the toxic dopamine metabolite DOPAL in Parkinson’s disease. J Neurochem. 2013;126:591–603. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24. Dauer W, Przedborski S. Parkinson’s disease: Mechanisms and models. Neuron. 2003;39:889–909. [DOI] [PubMed] [Google Scholar]
  • 25. Fedorow H, Halliday GM, Rickert CH, Gerlach M, Riederer P, Double KL. Evidence for specific phases in the development of human neuromelanin. Neurobiol Aging. 2006;27:506–512. [DOI] [PubMed] [Google Scholar]
  • 26. Halliday GM, Ophof A, Broe M, et al. α-Synuclein redistributes to neuromelanin lipid in the substantia nigra early in Parkinson’s disease. Brain. 2005;128:2654–2664. [DOI] [PubMed] [Google Scholar]
  • 27. Shahmoradian SH, Lewis AJ, Genoud C, et al. Lewy Pathology in Parkinson’s disease consists of crowded organelles and lipid membranes. Nat Neurosci. 2019;22:1099–1109. [DOI] [PubMed] [Google Scholar]
  • 28. Kuusisto E, Parkkinen L, Alafuzoff I. Morphogenesis of Lewy bodies: Dissimilar incorporation of alpha-synuclein, ubiquitin, and p62. J Neuropathol Exp Neurol. 2003;62:1241–1253. [DOI] [PubMed] [Google Scholar]
  • 29. Beach TG, Sue LI, Walker DG, et al. Marked microglial reaction in Normal aging human substantia nigra: Correlation with extraneuronal neuromelanin pigment deposits. Acta Neuropathol. 2007;114:419–424. [DOI] [PubMed] [Google Scholar]
  • 30. Wilms H, Rosenstiel P, Sievers J, Deuschl G, Zecca L, Lucius R. Activation of microglia by human neuromelanin is NF-kappaB dependent and involves p38 mitogen-activated protein kinase: Implications for Parkinson’s disease. FASEB J. 2003;17:500–502. [DOI] [PubMed] [Google Scholar]
  • 31. Volkow ND, Wise RA, Baler R. The dopamine motive system: Implications for drug and food addiction. Nat Rev Neurosci. 2017;18:741–752. [DOI] [PubMed] [Google Scholar]
  • 32. Grace AA. Dysregulation of the dopamine system in the pathophysiology of schizophrenia and depression. Nat Rev Neurosci. 2016;17:524–532. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33. Osherovich L. Priming the PD pump. Sci Exch. 2014;7:755–755. [Google Scholar]
  • 34. Vila M. Neuromelanin, aging, and neuronal vulnerability in Parkinson’s disease. Mov Disord. 2019;34:1440–1451. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35. Zucca FA, Basso E, Cupaioli FA, et al. Neuromelanin of the human substantia Nigra: An update. Neurotox Res. 2014;25:13–23. [DOI] [PubMed] [Google Scholar]
  • 36. Mosharov EV, Larsen KE, Kanter E, et al. Interplay between cytosolic dopamine, calcium, and alpha-synuclein causes selective death of substantia nigra neurons. Neuron. 2009;62:218–229. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37. Burbulla LF, Song P, Mazzulli JR, et al. Dopamine oxidation mediates mitochondrial and lysosomal dysfunction in Parkinson ‘s disease. Science. 2017;357:1255–1261. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38. Murer MG, Dziewczapolski G, Menalled LB, et al. Chronic levodopa is not toxic for remaining dopamine neurons, but instead promotes their recovery, in rats with moderate nigrostriatal lesions. Ann Neurol. 1998;43:561–575. [DOI] [PubMed] [Google Scholar]
  • 39. Mor DE, Tsika E, Mazzulli JR, et al. Dopamine induces soluble α-synuclein oligomers and nigrostriatal degeneration. Nat Neurosci. 2017;20:1560–1568. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40. Group PS. Levodopa and the progression of Parkinson’s disease. N Engl J Med. 2004;351:2498–2508. [DOI] [PubMed] [Google Scholar]
  • 41. Duarte-Jurado AP, Gopar-Cuevas Y, Saucedo-Cardenas O, et al. Antioxidant therapeutics in Parkinson’s disease: Current challenges and opportunities. Antioxidants (Basel). 2021;10:1–19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42. Graham DG. Oxidative pathways for catecholamines in the genesis of neuromelanin and cytotoxic quinones. Mol Pharmacol. 1978;14:633–643. [PubMed] [Google Scholar]
  • 43. Mann DMA, Yates PO. Possible role of neuromelanin in the pathogenesis of Parkinson’s disease. Mech Ageing Dev. 1983;21:193–203. [DOI] [PubMed] [Google Scholar]
  • 44. Ellis RJ. Macromolecular crowding: Obvious but underappreciated. Trends Biochem Sci. 2001;26:597–604. [DOI] [PubMed] [Google Scholar]
  • 45. Sulzer D, Bogulavsky J, Larsen KE, et al. Neuromelanin biosynthesis is driven by excess cytosolic catecholamines not accumulated by synaptic vesicles. Proc Natl Acad Sci U S A. 2000;97:11869–11874. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46. Meiser J, Weindl D, Hiller K. Complexity of dopamine metabolism. Cell Commun Signal. 2013;11:1–18. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 47. Giros B, Caron MG. Molecular characterization of the dopamine transporter. Trends Pharmacol Sci. 1993;14:43–49. [DOI] [PubMed] [Google Scholar]
  • 48. Gaskill PJ, Carvallo L, Eugenin EA, Berman JW. Characterization and function of the human macrophage dopaminergic system: Implications for CNS disease and drug abuse. J Neuroinflammation. 2012;9:203. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49. Segura-Aguilar J, Muñoz P, Inzunza J, Varshney M, Nalvarte I, Mannervik B. Neuroprotection against aminochrome neurotoxicity: Glutathione transferase M2-2 and DT-diaphorase. Antioxidants. 2022;11:1–15. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50. Xu Y, Stokes AH, Freeman WM, Kumer SC, Vogt BA, Vrana KE. Tyrosinase mRNA is expressed in human substantia nigra. Mol Brain Res. 1997;45:159–162. [DOI] [PubMed] [Google Scholar]
  • 51. Greggio E, Bergantino E, Carter D, et al. Tyrosinase exacerbates dopamine toxicity but is not genetically associated with Parkinson’s disease. J Neurochem. 2005;93:246–256. [DOI] [PubMed] [Google Scholar]
  • 52. Miranda M, Botti D, Bonfigli A, Ventura T, Arcadi A. Tyrosinase-like activity in Normal human substantia nigra. Gen Pharmacol. 1984;15:541–544. [DOI] [PubMed] [Google Scholar]
  • 53. Ikemoto K, Nagatsu I, Ito S, King RA, Nishimura A, Nagatsu T. Does tyrosinase exist in neuromelanin-pigmented neurons in the human substantia nigra? Neurosci Lett. 1998;253:198–200. [DOI] [PubMed] [Google Scholar]
  • 54. Tribl F, Arzberger T, Riederer P, Gerlach M. Tyrosinase is not detected in human catecholaminergic neurons by immunohistochemistry and western blot analysis. J Neural Transm Suppl. 2007;72:51–55. [DOI] [PubMed] [Google Scholar]
  • 55. Spector S, Gordon R, Sjoerdsma A, Udenfriend S. End-product inhibition of tyrosine hydroxylase as a possible mechanism for regulation of norepinephrine synthesis. Mol Pharmacol. 1967;3:549–555. [PubMed] [Google Scholar]
  • 56. Mosharov E V, Gong LW, Khanna B, Sulzer D, Lindau M. Intracellular patch electrochemistry: Regulation of cytosolic catecholamines in chromaffin cells. J Neurosci. 2003;23:5835–5845. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57. Iranzo A, Santamaría J, Valldeoriola F, et al. Dopamine transporter imaging deficit predicts early transition to synucleinopathy in idiopathic rapid eye movement sleep behavior disorder. Ann Neurol. 2017;82:419–428. [DOI] [PubMed] [Google Scholar]
  • 58. Kordower JH, Olanow CW, Dodiya HB, et al. Disease duration and the integrity of the nigrostriatal system in Parkinson’s disease. Brain. 2013;136:2419–2431. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59. González-Rodríguez P, Zampese E, Stout KA, et al. Disruption of mitochondrial complex I induces progressive parkinsonism. Nature. 2021;599:650–656. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60. Branco RC, Burkett JP, Black CA, et al. Vesicular monoamine transporter 2 mediates fear behavior in mice. Genes Brain Behav. 2020;19:1–14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61. Lohr KM, Bernstein AI, Stout KA, et al. Increased vesicular monoamine transporter enhances dopamine release and opposes Parkinson disease-related neurodegeneration in vivo. Proc Natl Acad Sci U S A. 2014;111:9977–9982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62. Torra A, Parent A, Cuadros T, et al. Overexpression of TFEB drives a pleiotropic neurotrophic effect and prevents Parkinson’s disease-related neurodegeneration. Mol Ther. 2018;26:1552–1567. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

awac445_Supplementary_Data

Data Availability Statement

Full datasets can be found at Zenodo repository (https://doi.org/10.5281/zenodo.7075026).


Articles from Brain are provided here courtesy of Oxford University Press

RESOURCES