Abstract
Parkinson’s disease (PD), the second most common progressive neurodegenerative disease, develops and progresses for 10–15 years before the clinical diagnostic symptoms of the disease are manifested. Furthermore, several aspects of PD pathology overlap with other neurodegenerative diseases (NDDs) linked to alpha-synuclein (aSyn) aggregation, also called synucleinopathies. Therefore, there is an urgent need to discover and validate early diagnostic and prognostic markers that reflect disease pathophysiology, progression, severity, and potential differences in disease mechanisms between PD and other NDDs. The close association between aSyn and the development of pathology in synucleinopathies, along with the identification of aSyn species in biological fluids, has led to increasing interest in aSyn species as potential biomarkers for early diagnosis of PD and differentiate it from other synucleinopathies. In this review, we (1) provide an overview of the progress toward mapping the distribution of aSyn species in the brain, peripheral tissues, and biological fluids; (2) present comparative and critical analysis of previous studies that measured total aSyn as well as other species such as modified and aggregated forms of aSyn in different biological fluids; and (3) highlight conceptual and technical gaps and challenges that could hinder the development and validation of reliable aSyn biomarkers; and (4) outline a series of recommendations to address these challenges. Finally, we propose a combined biomarker approach based on integrating biochemical, aggregation and structure features of aSyn, in addition to other biomarkers of neurodegeneration. We believe that capturing the diversity of aSyn species is essential to develop robust assays and diagnostics for early detection, patient stratification, monitoring of disease progression, and differentiation between synucleinopathies. This could transform clinical trial design and implementation, accelerate the development of new therapies, and improve clinical decisions and treatment strategies.
Subject terms: Parkinson's disease, Neuroscience
Introduction
Parkinson’s disease (PD) is one of the most progressive neurodegenerative diseases (NDDs), with a worldwide prevalence rate of ~1–4% in people aged over 60 years1. The incidence of PD is expected to increase as a result of higher life expectancy2. PD is characterized by the progressive loss of dopaminergic neurons and the deposition of aggregated alpha-synuclein (aSyn) into intracellular inclusions that accumulate in the form of Lewy bodies (LBs) in cell bodies and Lewy neurites (LNs) in axons and dendrites3. To date, clinical PD diagnosis has been based on motor features, along with nonmotor symptoms such as psychiatric and autonomic features and sleep disturbance4–7. Detection of aSyn pathology in the postmortem brain remains the primary means of reaching a conclusive diagnosis, often revealing that significant cases of PD have been misdiagnosed8. Because the diagnosis of PD relies on clinical symptoms that are manifested only after a substantial and irreversible loss of dopaminergic neurons in the substantia nigra (SN), there is an urgent need to identify PD-specific biomarkers that allow diagnosis at the onset and/or early stages of the disease9. Furthermore, given the clinical and neuropathological overlap between PD and other synucleinopathies (e.g., dementia with Lewy bodies (DLB) and multiple system atrophy (MSA)), there is also a need for biomarkers that would allow differentiation between synucleinopathies. The discovery of early diagnostic and prognostic markers that reflect disease pathophysiology, progression and severity and reflect potential differences in disease mechanisms are of paramount importance and hold great promise for improving the design of clinical trials and the development of novel disease-specific diagnostic tools and therapies for PD and other synucleinopathies.
aSyn as a potential biomarker
Several experimental observations have led to the emergence of aSyn as a leading therapeutic target and biomarker for PD. First, aggregated forms of aSyn are major components of LBs and LNs, the pathological hallmarks of PD3,10–14. aSyn aggregates are also found in the brains of patients with other synucleinopathies, including DLB, MSA and Alzheimer’s disease (AD)15–17. Second, mutations or duplications of the SNCA gene appear to be sufficient to cause PD or Lewy body dementia (LBD)18–27. Several familial forms of PD have been linked to increased expression of aSyn due to SNCA gene duplication or missense point mutations (single amino acid substitutions), such as A30P, E46K, H50Q, A53E and A53T23,25,26,28–30. Moreover, other aSyn point mutations, such as the G51D mutation, were reported to phenotypically display common neuropathological features of PD and MSA31,32. More recently, an E83Q mutation in aSyn was identified in a patient suffering from DLB and atypical frontotemporal lobar degeneration27,33. Third, the level of aSyn aggregates in the cerebrospinal fluid (CSF) and skin biopsies distinguishes PD patients from controls with high accuracy34–36. Fourth, several animal models show that overexpression of aSyn (the wild-type form or disease-associated mutant forms) or inoculation of aSyn into the central nervous system (CNS) and peripheral tissues induces aSyn pathology formation and/or pathology spreading into brain regions that are affected in PD and other synucleinopathies37–39. These observations, combined with the findings that aSyn aggregation and pathology spreading in rodent models increases with increasing aSyn levels, point to aSyn as a central player in PD pathogenesis40–43. However, whether aSyn aggregation and neurodegeneration are the primary initiators of the pathological process in PD remains a subject of active debate. Although several aSyn-targeting therapies are being tested in the clinic, reliable tools and assays to assess aSyn target engagement are still lacking. This has led to increasing efforts to develop and validate assays to identify, quantify and validate different aSyn species as potential biomarkers for synucleinopathies.
aSyn in body fluids and peripheral tissues
The discovery that aSyn is readily secreted into extracellular spaces and can be found in different forms (monomeric and seeding-competent aggregated forms) in body fluids such as CSF44–52, blood components53–63, saliva64–67 and tears68,69 as well as in peripheral tissues (e.g., skin, esophagus, colon)36,70–72 sparked even greater excitement about aSyn biomarkers. The diversity of peripheral sources of aSyn presents unique opportunities to develop noninvasive diagnostic and prognostic tools based on measuring the levels of individual or multiple aSyn species (reviewed in refs. 73–75) (Fig. 1).
Although various biomarker-based studies (using peripheral tissues and body fluids) have been performed to detect and quantify different aSyn species levels (i.e., total, oligomeric/aggregated or modified forms (those with posttranslational modifications, or PTMs)73–75, there is not yet a consensus on which form(s) represent reliable biomarker(s) for early diagnosis, patient stratification or monitoring of disease progression.
Initial studies focusing on quantifying total aSyn levels in CSF reported a general trend of decreased aSyn levels in patients with PD compared to healthy controls (HC)44–47. However, several factors have called into question the utility and effectiveness of total aSyn in CSF as a biomarker in clinical practice; these factors include (1) the broad range of aSyn levels reported44–46,52, (2) studies reporting no correlation with PD progression/severity as well as a considerable overlap of aSyn levels with controls and other NDDs45,59,75,76 and (3) poor interlaboratory reproducibility. Because of these limitations, several groups have pursued modified aSyn species (i.e., aSyn phosphorylated at S129 (pS129)49,50,53,77–80 or aggregated forms of aSyn79,81,82) as potential biomarkers. Unfortunately, independent replication and validation of many of these studies remain challenging. This has hampered efforts to systematically evaluate and validate the diagnostic value of measuring aSyn species, emphasizing the need for more robust assays that capture the diverse range of aSyn species (total aSyn) or specific modified or aggregated forms of the protein.
The use of specific assays designed to amplify and detect minute amounts of aggregated aSyn in biological samples, termed collectively as aSyn seed amplification assays (aSyn SAAs), (e.g., real-time quaking-induced conversion (RT-QuIC) and protein-misfolding cyclic amplification (PMCA)), have consistently shown the presence of seeding-competent aSyn species in CSF and peripheral tissue biopsies (e.g., from the skin and colon), which could serve as a reliable diagnostic marker for PD with higher accuracy, sensitivity and specificity35,72,83–87. These assays do not yet allow reliable discrimination between different synucleinopathies or monitoring of disease progression and severity. However, recent applications of these assays suggest that they could be further optimized and developed to differentiate between PD and other synucleinopathies (MSA from PD and LBD)36,88 and potentially identify presymptomatic cases years before they develop PD34,89.
Several aSyn PTMs are closely associated with the progression of pathology in synucleinopathies
PTMs play a key role not only in modulating protein structure and function but also in regulating clearance, localization and secretion. Hence, PTMs could act as molecular switches for regulating biological processes in health and disease. In the context of NDDs such as PD, AD, and amyotrophic lateral sclerosis, PTMs have emerged as key markers of extra- and intracellular inclusions that represent the pathological hallmarks of NDDs. Biochemical studies of LBs, neurofibrillary tangles and other pathological aggregates linked to NDDs have consistently demonstrated that the aggregate-forming proteins (e.g., aSyn, Tau, TDP-43 and amyloid-beta) accumulating in these pathological inclusions or deposits are subjected to a wide range of PTMs (e.g., phosphorylation, glycosylation, acetylation, nitration, SUMOylation, and ubiquitination)90. Moreover, many of these PTMs cluster in neighboring sites and compete for the same residue. The close association between specific PTMs (e.g., pS129 aSyn and phosphorylation of Tau at different residues such as Thr181, Ser262 and Ser404) and pathological aggregates16,91,92 has led to the emergence of antibodies against such PTMs as the primary tools to detect, monitor and quantify pathology formation in the human brain and animal models of NDDs. However, our understanding of the precise role of PTMs in regulating protein misfolding, aggregation, and the development and spread of pathology in NDDs remains incomplete. Interestingly, recent findings suggest that most of PTMs seen in pathological aggregates may occur after aSyn aggregation and could be involved in regulating the processing of fibrils and/or the formation and maturation of LBs (see recent reviews93–95). This suggests that they could play important roles in regulating the secretion of aSyn aggregates and influence their seeding activity in the CSF. Therefore, their detection in biological fluids may indeed provide a window to pathological aSyn in the brain (Boxes 1 and 2).
Several aSyn PTMs have been identified in the postmortem brain tissues of patients with PD and other synucleinopathies using different approaches such as mass spectrometry (MS) and antibody-based assays (e.g., immunohistochemistry)16,17,96–99. Among the most frequently reported aSyn PTMs are acetylation (at the N-terminus and lysine residues), ubiquitination, phosphorylation (at S129 and, to a lesser extent, at Y39, S87, Y125), and nitration (at Y39, Y125, Y133, Y136), as well as several N-terminal and C-terminal truncations16,17,96–99. In addition, pS129 aSyn species have been detected in several peripheral tissues, including the skin, esophagus and colon, of patients with PD and synucleinopathies100–103, although the correlation between pS129 levels and peripheral aSyn pathology remains unclear, mainly because most studies describe the detection of pS129 immunoreactivity without assessing the aggregation state of aSyn.
Among the many aSyn PTMs found in the brain, pS129, truncations, and ubiquitination are the most commonly detected PTMs and correlate with pathology formation90 (Fig. 2a). However, most studies have focused mainly on exploring the role of primarily pS129 aSyn in the pathogenesis of synucleinopathies and its potential as a PD-related biomarker. This is primarily because it is one of the most abundant PTMs but also because several antibodies against this PTM are available, whereas only few antibodies are available for other modified aSyn species, such as ubiquitinated and truncated forms.
Increasing evidence point to N- and C-terminal truncations as the second most common type of aSyn PTMs in the brains of patients with PD and other synucleinopathies16,104–106, truncated aSyn species have also been detected in the soluble fraction of homogenates from healthy human brains, suggesting that they may be involved in regulating some physiological functions of aSyn16,96–99. C-terminal truncations of aSyn are highly enriched in the pathological inclusions of different synucleinopathies, such as PD16,99,104,105,107–116, DLB16,99,106–108,111,114,117, and MSA16,104,113,118, and in AD patient brains without LB pathology110 compared to the insoluble fraction from control subjects. Although the majority of these studies relied primarily on antibodies and Western blotting analyses, the presence of C-terminal truncations has been further verified by unbiased tandem mass spectrometry (MS/MS) approaches. These studies revealed the presence of C-terminal truncations in PD96,97,99, DLB16, MSA17 and PD with dementia99 (Fig. 2a). Among the most representative truncated species were aSyn 1–119 and 1–12216,17,97,99. Recently, N-terminal truncations (5–140, 39–140, 65–140, 66–140, 68–140 and 71–140) (Fig. 2a, b) have also been detected in human LBD brains106 and PD brains96,97; however, the pathological relevance of these N-terminally truncated forms of aSyn remains unclear. Surprisingly, aSyn truncations have also been reported to be present in the human appendix109, with the great majority of truncated aSyn species being cleaved in both the N- and C-terminal regions of the protein. However, a comparison of the various aSyn species detected in the brain and the appendix (Fig. 2b) reveals major differences in the cleavage sites and distribution of truncated aSyn species16,96,97,99,109. Figure 2c summarizes the different PTMs identified in the brain, biological fluids and peripheral tissues.
The close association of different modified and aggregated forms of aSyn with pathological aSyn inclusions in the brain of patients with PD and other synucleinopathies has led to increasing interest in potentially quantifying the levels of these species in biological fluids as potential disease biomarkers. This section presents a comparative and critical analysis of previous studies to measure total aSyn and posttranslationally modified, and aggregated (oligomer and fibril) forms of aSyn in different biological fluids.
Box 1 Summary of the main findings of the studies that aimed to evaluate the potential value of aSyn as a biomarker for PD and other synucleinopathies.
Although total aSyn levels in CSF consistently show a trend of reduction in PD patients compared to controls, the reported levels vary significantly from one study to another.
aSyn PTMs are relatively scarce in biological fluids but are abundant in pathological aggregates in the brain and peripheral tissues and may constitute the predominant form of aSyn in specific cells (e.g., astrocytes).
The great majority of studies have focused primarily on the detection and quantification of pS129, which is readily detected in appreciable amounts in the blood components (plasma or red blood cells) but not in the CSF.
The detection of various modified forms of aSyn increases in biological fluids containing higher concentrations of aSyn (e.g., red blood cells compared to other blood components or CSF).
Most studies on aSyn levels or PTMs have relied on the use of selected antibodies targeting specific species rather than an unbiased approach aimed at profiling all aSyn species, and in most cases, the antibodies have not been validated for their ability to capture the diversity of modified aSyn species.
Oligomeric aSyn levels are reported to be increased in PD patients across the different biological fluids. However, the sensitivity, specificity, and reproducibility of assays for oligomeric aSyn forms remain unsatisfactory.
The great majority of the antibodies and assays used to quantify aSyn oligomers do not allow differentiation among oligomeric, fibrillar and other aggregated forms of aSyn. Therefore, it remains unclear what form or forms of the protein are measured in these studies.
Only two studies have investigated the presence of levels of posttranslationally modified oligomeric forms of aSyn in biological fluids.
The lack of standardization in aSyn protein concentration determination methods and the reliance on poorly characterized protein standards are major contributors to the large variations in the quantification of total and modified aSyn levels measured in different studies.
Box 2 Main recommendations for aSyn-biomarker studies.
Develop optimized protocols for sample collection and handling that take into account the stability of the different modified forms of aSyn.
Use multicenter cohorts and a large number of biological fluid samples from PD and other synucleinopathies.
Use highly pure and homogeneously modified protein standards.
Use amino acid analysis as the gold standard method for determination of aSyn protein concentration.
Use well-characterized and validated antibodies that detect the specific forms of the protein (PTM specific) or capture the diversity of aSyn species (for total aSyn concentration determination).
Generate new antibodies against different aSyn PTMs, as the current antibody toolsets cover only a limited number of aSyn PTMs.
Assess the cross-reactivity of the available and newly generated antibodies (particularly pS129) to other aSyn PTMs and the proteome of biological fluids.
Use a combination of biochemical and mass spectrometry approaches, to conduct systematic and unbiased analysis of aSyn species and PTMs in biological fluids, peripheral tissues and postmortem brain tissues from healthy controls and patients with PD and other synucleinopathies and NDDs (e.g., PDD, MSA, DLB, AD).
Develop a diagnostic workflow that integrates biochemical and structural aSyn biomarkers and other biomarkers of disease-relevant mechanisms (neurodegeneration, synaptic dysfunction, inflammation, etc.).
aSyn PTMs in biological fluids and their potential as biomarkers
The close association between aSyn pathology in the brain and several aSyn PTMs, combined with converging findings demonstrating that neurons secrete different forms of aSyn, has led to the pursuit of modified aSyn species in different peripheral tissues (e.g., appendix, skin, colon and esophagus)100–103,109 and biological fluids73,75 (Fig. 2c) as potential biomarkers of peripheral pathology or PD. The assumption here is that the distribution of aSyn species in biological fluids, such as CSF or blood, may provide a window to the dynamics of aSyn proteoforms in the PD brain and reveal changes that reflect the extent of pathology and/or disease progression. Over the past decades, various methods and assay platforms have been employed to profile, detect and quantify modified aSyn isoforms in body fluids (Fig. 2d), including Western blot (WB); dot blot; Enzyme-linked immunosorbent assay (ELISA); biotin ELISA; phospholipid ELISA; electrochemiluminescence (ECL); immunomagnetic reduction-based, Luminex, and Singulex assays; MS; and modified paired surface plasma wave biosensors (PSPWB) coupled to immunoassays.
In this review, we will (1) provide an overview of the progress made toward mapping aSyn PTMs in different biological fluids (CSF, plasma, serum, and RBCs); (2) present critical analyses of previous studies that have sought to explore the potential of total aSyn and aSyn PTMs as biomarkers to monitor disease progression or differentiate between PD patients and HC or between PD and other synucleinopathies; (3) present a gap analysis to help guide future aSyn biomarker studies; (4) highlight some of the current challenges in targeting modified and aggregated aSyn species as potential biomarkers for PD; and (5) provide an overview of how recent advances in protein synthesis and more sensitive approaches (MS) to detect PTMs may help address these challenges. Finally, we outline a series of specific recommendations for the design of future biomarker studies, sample handling, and research tool development and validation that we believe will pave the way to develop sensitive and accurate assays that capture and more accurately measure the diversity of aSyn forms in biological fluids and samples. The need for a more integrative approach that combines multiple biomarkers linked to different disease mechanisms implicated in PD and other synucleinopathies is also discussed. Table 1 summarizes the different studies on aSyn PTM biomarkers of PD and other synucleinopathies using biological fluids; these studies will be described in detail in the next sections.
Table 1.
PTM | Biological fluid | Techniques employed | Antibody or enrichment strategy used (Vendor) | Mean of modified aSyn in controls | Mean of modified aSyn in cases | Preparation of calibrants | Methods used for calibrant characterization | Calibrant purity and characterization—Data shown | References |
---|---|---|---|---|---|---|---|---|---|
nY39 | Red blood cells | Immunoblotting analysis (Western blot and dot blot) | Anti-nitro-α/β-Synuclein, nY39, 36-012 (Upstate/Millipore) | NA | NA | NA | NA | NA | Vicente Miranda et al.146 |
Nitrotyrosine | Serum | ELISA, Western Blot and Mass spectrometry |
Monoclonal antibody to nitrotyrosine (Hycult Biotech); Nitrosylated aSyn (nY125/136): anti-nitro-a/b-synuclein antibody - nSYn12 (Millipore); Nitrosylated aSyn (nY39): anti-nitro-a/b-synuclein antibody Tyr39 - nSYn14 (Millipore) |
3-nitrotyrosine protein: 48.3 ± 6.8 nM | 70.6 ± 4.7 nM (Serum) | NA | NA | NA | Fernandez et al.145 |
pY39 | CSF | Targeted Mass spectrometry |
PTMScan Phospho-Tyrosine antibody; P-Tyr-1000 (Cell Signaling Technology); TiO2 beads (Thermo Fisher) |
1.67–4.98 attomole/ml | PD: 1.53–4.25 attomole/ml | Synthetic | Synthesis | NA | Na et al.142 |
pY125 | Red blood cells | Immunoblotting analysis (Western blot and dot plot) | ab10789 (Abcam) | NA | NA | NA | NA | NA | Vicente Miranda et al.146 |
pS129 | CSF | IP-MS, Luminex |
IP-MS: pS129 (Abcam) and ExactaCruz IP kit; Luminex: Capture: ASY-1a; Detection: biotinylated anti-human pS129a |
68.61 ± 17.25 to 73.03 ± 17.20 pg/ml | PD: 77.73 ± 20.45 to 79.23 ± 23.22 pg/ml | Recombinant aSyn was incubated with casein kinase II (New England Biolabs) | Immunoblotting with a phosphorylation-dependent anti-aSyn antibody, pS129 (Epitomics) and mass spectrometry | MALDI-TOF/MS | Wang et al.50 |
MSA:58.12 ± 20.24 to 61.97 ± 14.19 pg/ml | |||||||||
PSP: 55.54 ± 16.87 to 58.24 ± 24.93 pg/ml | |||||||||
AD: 67.50 ± 15.68 to 72.64 ± 19.57 | |||||||||
CSF | ELISA |
Capture: anti-α-synuclein N-19 (Santa Cruz Biotechnology); Detection: anti-pS129 (Epitomics) |
3.58 ± 3.85 μg/ml | PD: 3.43 ± 6.18 μg/ml | Recombinant aSyn was incubated with casein kinase II (New England Biolabs) | Immunoblotting with a phosphorylation-dependent anti-aSyn antibody, pS129 (Epitomics) and mass spectrometry | NA | Foulds et al.49 | |
PD (nonD): 4.41 ± 8.68 μg/ml | |||||||||
PD (Cog): 1.76 ± 1.02 μg/ml | |||||||||
PD (Dem): 3.67 ± 5.73 μg/ml | |||||||||
DLB: 1.63 ± 1.42 μg/ml | |||||||||
PSP: 5.14 ± 9.73 μg/ml | |||||||||
MSA: 7.14 ± 9.19 μg/ml | |||||||||
CSF | Luminex |
Biotinylated anti-human pS129 antibodya Streptavidin-R-PE (Prozyme) |
NA | Baseline: 114.66 ± 17.14 (pg/ml) | Recombinant aSyn was incubated with casein kinase II (New England Biolabs) | Immunoblotting with a phosphorylation-dependent anti-aSyn antibody, pS129 (Epitomics) and mass spectrometry | NA | Stewart et al.77 | |
Follow-up: 117.89 ± 17.92 (pg/ml) PD (UW-collaborative): 74.01 ± 26.67 (pg/ml) LRRK2: 63.79 ± 22.73 (pg/ml) | |||||||||
CSF | ELISA, dot plot | Mouse anti-pS129-α-syn monoclonal antibodya | 222 (180.5–275) pg/ml | 261 (206.8–296.3) pg/ml | Methodology is not described | Not described in the method section | NA | Majbour et al.79 | |
CSF | ELISA | Mouse anti-pS129-α-syn monoclonal antibodya | NA | Baseline: 220.2 (145.0–316.4) pg/ml | Methodology is not described | Not described in the method section | NA | Majbour et al.78 | |
Follow-up: 180.8 (125.0–252.2) pg/ml | |||||||||
CSF | ELISA | Mouse anti-pS129-α-syn monoclonal antibodya | 116 (103–145) pg/ml | Sporadic PD: 139 (114.25–163) pg/ml | Methodology is not described | Not described in the method section | NA | Majbour et al.80 | |
Asymptomatic LRRK2 mutation carriers: 121 (94–150) pg/ml | |||||||||
Symptomatic LRRK2 mutation carriers: 122 (106–145) pg/ml | |||||||||
Follow-up: 117.89 ± 17.92 (pg/ml) | |||||||||
CSF | ELISA | Mouse anti-pS129-α-syn monoclonal antibodya | 235 ± 54 pg/ml | PD: 258 ± 52 pg/ml | Methodology is not described | Not described in the method section | NA | van Steenoven et al.128 | |
DLB: 232 ± 79 pg/ml | |||||||||
AD: 220 ± 61 pg/ml | |||||||||
CSF | ELISA | Mouse anti-pS129-α-syn monoclonal antibodya | NA | PD: 85 (55–110) pg/ml | Methodology is not described | Not described in the method section | NA | Constantinides et al.129 | |
MSA: 54 (46–64) pg/ml | |||||||||
PSP: 67 (56–78) pg/ml | |||||||||
CBD: 60 (53–109) pg/ml | |||||||||
AD: 59 (47–79) pg/ml | |||||||||
FTD: 49 (34–72) pg/ml | |||||||||
VD: 55 (46–93) pg/ml | |||||||||
CSF | ELISA using the Erenna Immunoassay System |
Capture: PRTA-11A5 Detection: PRTA-23E8 |
2.19 ± 0.83 pg/ml | PD: 1.94 ± 0.90 pg/ml | Recombinant aSyn was incubated with PLK2 | Mass spectrometry | NA | Schulz et al.131 | |
MSA: 1.84 ± 0.71 pg/ml | |||||||||
DLB: 2.34 ± 0.97 pg/ml | |||||||||
FTD/ALS: 2.28 ± 1.04 pg/ml | |||||||||
AD: 2.45 ± 1.08 pg/ml | |||||||||
CBS: 2.07 ± 0.83 pg/ml | |||||||||
PSP: 1.95 ± 0.90 pg/ml | |||||||||
CSF | ELISA | Mouse anti-pS129-α-syn monoclonal antibodya |
Baseline: 112 (89–129) pg/ml 24 months follow-up: 101 (75–131) pg/ml 48 months follow-up: 98 (89–140) pg/ml |
Baseline: 116 (89–160) pg/ml 24 months follow-up: 105 (78–126) pg/ml 48 months follow-up: 128 (92–174) pg/ml |
Methodology is not described | Not described in the method section | NA | Majbour et al.132 | |
CSF | ELISA | Mouse anti-pS129-α-syn monoclonal antibodya | 225 (185–279) pg/ml | 265 (208–296) pg/ml | Methodology is not described | Not described in the method section | NA | Oosterveld et al.130 | |
Plasma and CSF | IP, Western Blot and Singulex Assays | MJF-R13 (8-8) (ab168381; Abcam) | Plasma: 878.5 ± 317.4 pg/ml | NA | Recombinant aSyn was incubated with PLK3 | UPLC, mass spectrometry, SDS-PAGE and WB analysis using pS129 antibody (ab168381) | NA | Cariulo et al.53 | |
CSF: NA (below detection limit) | |||||||||
Plasma | Western blot and biotin ELISA |
ELISA- Capture: anti-α-synuclein N-19 (Santa Cruz Biotechnology); Detection: anti-pS129 (Epitomics); Western blot: pS129 (Epitomics) |
0.15–0.6 ug/ml | PD:0.2–2 ug/ml | Recombinant aSyn was incubated with casein kinase II (New England Biolabs) | Immunoblotting with a phosphorylation-dependent anti-aSyn antibody, pS129 (Epitomics) and mass spectrometry | NA | Foulds et al.54 | |
Plasma | ELISA |
Capture: anti-α-synuclein N-19 (Santa Cruz Biotechnology); Detection: anti-pS129 (Epitomics) |
143.4 ± 531.8 ng/ml | 756.8 ± 2419.9 ng/ml | Recombinant aSyn was incubated with casein kinase II (New England Biolabs) | Immunoblotting with a phosphorylation-dependent anti-aSyn antibody, pS129 (Epitomics) and mass spectrometry | NA | Foulds et al.55 | |
Plasma | Immunomagnetic reduction (IMR)-based immunoassay | Dextran-coating magnetic Fe3O4 nanoparticles (MF-DEX-0060, MagQu) bio-functionalized with monoclonal antibody - 825701, (Biolegend) | 0.8 ± 0.6 fg/ml | 12.9 ± 8.7 fg/ml | Synthetic: pS129 aSyn peptide (ab188826) | Synthesisb | NA | Lin et al.143 | |
Serum | Modified paired surface plasma wave biosensor coupled to an immunoassay and non-labeled technique | Rabbit monoclonal anti-α-syn (phosphor S129) antibody (anti-p-S129-α-syn; Abcam, Cambridge, MA, USA) | 0.5–5 ng/ml | 4–12 ng/ml | Human phosphorylated aSyn ELISA kit (MyBioSource Co., Vancouver, Canada) | NA | NA | Chen et al.144 | |
Red blood cells | Phospholipid-ELISA assay | pSyn#64 (WAKO) | 24.48 ± 7.6 pg a-Syn/mg protein | PD-M: 35.820 ± 15.19 pg a-Syn/mg protein |
Human pS129 aSyn (RP-004; Proteos) |
Semisyntheticb | NA | Elhadi et al.150 | |
PD-D: 27.370 ± 9.76 pg a-Syn/mg protein | |||||||||
Red blood cells | ELISA, Western blot and immunodepletion | Nonbio sc-135638 (Santa Cruz Biotechnology) | 11.89 ± 3.57 ng/mg |
MSA: 14.02 ± 4.02 ng/mg MSA-P:13.27 ± 1.91 ng/mg MSA-C: 12.19 ± 3.04 ng/mg |
Recombinant aSyn was incubated with casein kinase II (New England Biolabs) | SDS-PAGE and Western blotting analysis with a phosphorylation-dependent anti-aSyn antibody | NA | Li et al.151 | |
Red blood cells | Electrochemiluminescence assay | Anti-pS129 (BioLegend) | Cytosol: 67.36 ± 0.48 pg/μg | Cytosol: 636.05 ± 6.03 pg/μg |
Human Alpha-synuclein pS129 (RP-004; Proteos) |
Semisyntheticb | NA | Tian et al.149 | |
Membranes: 255.05 ± 1.98 pg/μg | Membranes: 315.35 ± 0.95 pg/μg | ||||||||
Oligo-phosphorylation | CSF | ELISA |
Capture: anti-pS129 (Epitomics); Detection: biotinylated pS129a |
1.05 ± 2.23 μg/ml | PD: 0.77 ± 1.51 μg/ml | Recombinant aSyn was incubated with casein kinase II (New England Biolabs) | Immunoblotting with a phosphorylation-dependent anti-aSyn antibody, pS129 (Epitomics) and mass spectrometry | NA | Foulds et al.49 |
PD (nonD): 0.26 ± 0.03 μg/ml | |||||||||
PD (Cog): 0.68 ± 0.78 μg/ml | |||||||||
PD (Dem): 1.28 ± 2.27 μg/ml | |||||||||
DLB: 1.60 ± 3.02 μg/ml | |||||||||
PSP: 1.25 ± 3.32 μg/ml | |||||||||
MSA: 19.56 ± 1.66 μg/ml | |||||||||
Plasma | Biotin ELISA |
Capture: anti-pS129 (Epitomics); Detection: biotinylated pS129a |
HC: 0.04–0.09 ug/ml | PD: 0.04–0.18 ug/ml | Recombinant aSyn was incubated with casein kinase II (New England Biolabs) | Immunoblotting with a phosphorylation-dependent anti-aSyn antibody, pS129 (Epitomics) and mass spectrometry | NA | Foulds et al.54 | |
Advanced glycation end-products (AGEs) | Red blood cells | Immunoblotting analysis (Western blot and dot blots) | AGEs KAL-KH001 (Cosmo-Bio) | NA | NA | NA | NA | NA | Vicente Miranda et al.146 |
SUMOylation | Red blood cells | Immunoblotting analysis (Western blot and dot blot) | Sc-9060 (Santa Cruz Biotechnology) | NA | NA | NA | NA | NA | Vicente Miranda et al.146 |
Ubiquitination | Plasma | Western blot and biotin ELISA | Anti-ubiquitin antibody FL-76 (Santa Cruz Biotechnology) | NA | NA | NA | NA | NA | Foulds et al.54 |
Red blood cells | Immunoblotting analysis (Western blot and dot blot) | ab24686 (Abcam) | NA | NA | NA | NA | NA | Vicente Miranda et al.146 |
NA not applicable.
aAntibodies generated in-house.
bCommercial available.
aSyn in the CSF
CSF remains one of the main accessible body fluids and provides a window to biochemical and neuropathological changes in the brain. Therefore, it is not surprising that the search for aSyn biomarkers has focused primarily on CSF, especially in the absence of validated aSyn-pathology-specific brain positron emission tomography tracers and biomarkers. Initial studies focused on measuring total aSyn levels, but interest in aggregated and phosphorylated forms (namely, pS129) increased over time, with converging evidence suggesting links between these species and aSyn pathology in the brains of patients with PD and other synucleinopathies.
Total aSyn levels in the CSF
Although aSyn is consistently detected in the CSF, mainly using ELISA and other immunoassays, the reported levels of CSF aSyn in control individuals and patients suffering from PD or other synucleinopathies vary significantly from one study to another44–52. For example, levels of total aSyn were reported to be in the range of 67–68,900 pg/ml and 61.5–55,000 pg/ml in controls and PD patients, respectively44–47,52,119–121 (Fig. 3a and Table 2). The majority of these studies had small sample sizes, and, remarkably, the numbers of samples derived from PD patients and controls used did not increase across the years (Fig. 3b). In other synucleinopathies, the reported total aSyn levels are as follows: (1) DLB: 58–59,000 pg/ml; 1420 ± 1260 pg/ml, (2) MSA: 108–56,000 pg/ml and (3) progressive supranuclear palsy (PSP): 428–63,000 pg/ml44,45,50,119–121 (Fig. 3c). A single study by Foulds et al. reported much higher levels of total aSyn, specifically in the range of µg/ml instead of the observed pg/ml, for patients suffering from different synucleinopathies as well as control subjects (PD: 1.85 ± 2.40 µg/ml (average); DLB: 2.31 ± 2.51 µg/ml; MSA: 3.80 ± 2.40 µg/ml; PSP: 1.45 ± 1.97 µg/ml and HC: 1.87 ± 2.29 µg/ml)49. These large variations have been attributed to several preanalytical and analytical confounding factors as well as to clinical and demographic data heterogeneity, comorbidities and potential medical treatments that have been extensively discussed in recent reviews (see refs. 75,76,122). This has led to inconclusive findings regarding differences in aSyn levels between PD patients and other parkinsonism patients and whether changes in total aSyn levels could be used to monitor disease progression. For example, several cross-sectional studies showed a decrease in total aSyn levels in PD patients44–47 compared to HC individuals and controls with other NDDs, which was corroborated to some extent by a number of meta-analysis studies51,123–125. Nonetheless, several studies did not show that there was any correlation between total aSyn levels and disease progression/severity or that changes in aSyn levels provided a reliable marker that distinguishes between PD and other synucleinopathies, such as MSA or PSP45,59,76. However, two studies comparing PD patients with controls reported an association with PD severity/progression78,126. Furthermore, in a recent meta-analysis study, Eusebi et al. reported that aSyn levels did not differentiate PD from other types of parkinsonism51. One consistent finding in the majority of these studies is that aSyn can be reliably detected in the CSF (Fig. 3a).
Table 2.
Biological fluid | aSyn levels range in controls and PD | pS129 levels range in controls and PD | Other PTMs detected |
---|---|---|---|
CSF | 61.05–68,900 pg/ml44–47,52,119–121; 1.34 ± 2.16–3.80 ± 2.40 µg/ml49 | No detection to 7.14 ± 9.19 µg/ml49–51,53,77,79,80,128–130 | pY39; oligo-pS129 |
Plasma | 3600–1,777,100 ± 3,609,600 pg/ml53–59 | 0.8 ± 0.6 fg/ml–12.9 ± 8.7 fg/ml143; 878.5 ± 317.4–756,800 ± 2,419,900 pg/ml53,55 | oligo-pS129; ubiquitination |
Red blood cells | 26,200 ± 3000–40,000 ng/ml60–62 | 24.48 ± 7.6–636,050 ± 6030 pg/mg149–151 | AGEs; SUMOylation; nY39; pY125 |
Saliva |
7.104 ± 5.122–314.03 ± 435.9 pg/ml64–66; 159.4 ± 61.6–229.9 ± 64 ng/ml67 |
NA | NA |
Tears | 32.02–361.16 pg/mg68,69 | NA | NA |
NA not applicable.
In addition to the confounding factors highlighted above, differences in the distribution of modified aSyn forms could also contribute to the large variations in aSyn levels, especially since the great majority of the capture and/or detection antibodies used in most aSyn immunoassays target the C-terminal domain of aSyn (residues 110–130), which harbors the most abundant pathology-associated aSyn modifications (e.g., phosphorylation and C-terminal truncations; Fig. 2a).
pS129
The search for posttranslationally modified forms of aSyn in CSF initially focused on pS129 aSyn because of the converging evidence demonstrating that pS129 is the predominant modified form of aSyn in LBs (reviewed in ref. 127) and a reliable marker of pathology that correlates with the increase in pathology formation in the brain49,50,53,77–80. Several studies suggested that CSF pS129 levels might enable the diagnosis of PD50,51,77,79 or differentiate not only between PD patients and control subjects but also between different synucleinopathies49,128,129 (Fig. 4a). Nevertheless, the results from these studies revealed high variability in terms of the detected pS129 levels in the CSF, ranging from no detection to 7.14 ± 9.19 µg/ml49,53 (Fig. 4b).
When comparing the CSF pS129 levels between HC and PD patients, several studies reported a significant elevation in the latter50,51,77,79,130. One study suggested that the observed change in pS129 levels allows differentiation between diagnostic cohorts50. However, other studies observed no significant change in the mean pS129 values between HC and PD patients49,80,128,131 or between patients with PD and those with other synucleinopathies49,128,129 (such as DLB49,128, MSA or PSP49,129) or tauopathies128,129. One study reported the following pS129 concentrations in different subgroups: MSA (7.14 ± 9.19 µg/ml); PSP (5.14 ± 9.73 µg/ml); DLB (1.63 ± 1.42) and controls (3.58 ± 3.85 µg/ml). Despite the lack of significant differences, MSA and PSP patients showed increased CSF pS129 values, while DLB patients showed reduced levels in comparison to healthy individuals49. Furthermore, pS129 levels were slightly increased in MSA patients than in PSP patients and even higher than in DLB patients49. However, in another report, Wang and collaborators evaluated pS129 levels in samples from PD, MSA and PSP patients along with controls, and reported values on the scale of pg/ml50. This study revealed reduced pS129 levels in patients suffering from MSA and PSP in comparison with PD patients and controls. Interestingly, they observed similar concentration levels between the MSA and PSP disease groups, while the PSP cohort displayed significantly lower pS129 levels than controls50.
The correlation between pS129 aSyn levels and disease severity was also assessed in several studies, which yielded inconsistent results. Wang et al.50 reported a correlation of decreased pS129 levels with PD severity, which was further corroborated by others77,78, suggesting that pS129 in the CSF may serve as a progression biomarker for PD and is associated with different PD clinical phenotypes. However, a study by Majbour et al.79 did not show any association between pS129 levels and disease severity and progression. Moreover, in a recent study, Majbour et al. reported that the pS129 aSyn levels of PD patients were lower at the 2-year follow-up than at baseline; however, this observed reduction did not display statistical significance132.
It has been suggested that the ratios of pS129 to total aSyn and/or oligomeric aSyn to total aSyn, as opposed to pS129 levels only, may provide a superior diagnostic marker and could differentiate between PD and other synucleinopathies50,77,80,81,133,134. Two studies reported an elevated ratio of pS129 aSyn to total aSyn in PD and symptomatic and asymptomatic LRRK2 mutation carrier patients compared with controls50,80. The level of pS129 aSyn/total aSyn was also shown to increase with disease progression in PD patients in two different follow-up studies77,78, enabling the differentiation between MSA and PSP patients50. To the best of our knowledge, only one study has sought to assess the level of phosphorylated aggregated forms of aSyn in the CSF. Remarkably, in this study, the authors reported that the phosphorylated oligomeric form of aSyn varied among the PD, DLB, PSP, MSA and control groups, with highly significant differences reported in MSA (19.56 ± 1.66 μg/ml) in comparison with all the other groups (PD: 0.75 ± 1.15 μg/ml (average); DLB: 1.60 ± 3.02; PSP: 1.25 ± 3.32 μg/ml; and controls: 1.05 ± 2.23 μg/ml) (Table 1)49. Interestingly, the level of the phosphorylated oligomeric form of aSyn was marginally decreased in PD patients in comparison to controls (Fig. 4a, c) as well as DLB and PSP patients. Furthermore, DLB and PSP patients displayed slightly higher levels than controls, while the DLB group displayed marginally higher levels than PSP patients. However, in MSA patients, this aSyn species was estimated to be at an ~20-fold higher concentration than in other diseased patients (Fig. 4c)49. Surprisingly, the levels of pS129 detected in CSF have displayed great variability49,50,77–80,128–130 (see Table 1).
Recently, Cariulo et al.53 developed the Singulex Erenna immunoassay, an ultrasensitive immunoassay based on a quantitative fluorescent sandwich immunoassay coupled to single-molecule counting technology, for quantifying total aSyn and pS129 species in the range of pg/mL. They reported that pS129 could be readily detected in human plasma (at ~878.5 ± 317.4 pg/ml) but not in CSF. This sensitive assay could detect recombinant and homogeneous pS129 aSyn with a detection limit of 0.15 pg/ml. It is noteworthy that using an IP-MS/MS method with a detection limit of 78 pg/ml, we failed to detect pS129 in the CSF from PD patients or HC (unpublished data). The great variability of pS129 levels identified in the CSF of patients suffering from different synucleinopathies ranging from no detection53 to values ranging from pg/ml to μg/ml scale [(1.84 ± 0.71 to 265 (208–296) pg/ml; (7.14 ± 9.19) μg/ml]49,50,77–80,128–131, combined with the failure of several groups to replicate some of these studies and lack of validation by antibody-independent methods, has precluded the use of pS129 levels as a reliable biomarker.
pY39
In addition to pS129, recent studies have also explored the potential of assessing pY39 aSyn levels as a potential CSF biomarker. These studies were motivated by prior studies demonstrating that the levels of the activated form of c-Abl kinase, which phosphorylates aSyn efficiently at Y39135, are increased in the striatum and SN in PD brains136 and that an inhibitor of c-Abl increases aSyn clearance and is neuroprotective in preclinical models of PD137–140. Furthermore, in a small nonrandomized study of twelve PD patients, treatment with the c-Abl inhibitor nilotinib was reported to lead to an improvement in motor and cognitive symptoms141. However, a recent Phase 2 study reported that nilotinib showed no effect on symptoms or disease progression in either moderate or advanced PD.
To determine whether pY39 could serve as a biomarker differentiating PD patients from HC or patients with other synucleinopathies, Na et al.142 developed a targeted MS approach for the quantification of pY39 in the CSF. The assay was used to assess pY39 in CSF from a small cohort of PD patients (n = 4) and HC (n = 4) and showed no significant differences in pY39 aSyn levels between the two groups. However, the ratio of pY39 to Y39 was significantly increased in PD patients142. It is noteworthy that pY39 levels in the CSF are very low, in the range of 1.53–4.98 attomoles/ml142 (Fig. 4a, c). Therefore, the presence of minute amounts of unlabeled pY39 peptide standards could complicate the accurate estimation of its levels. Therefore, for targeted proteomics, it is of critical importance that the heavy standard peptide is spiked in at low quantities for reliable retention time and MS identification of the heavy peptide standard. The heavy/light ratio should be well above 1% to rule out any analytical bias and discard light isotope contamination derived from the standard and ultimately allow accurate quantification of the peptide/PTM of interest. Therefore, the reported levels of pY39 should be interpreted with caution142, and further studies in larger cohorts are needed to confirm the recent findings and to validate the assays used to detect and quantify aSyn pY39 as a potential PD biomarker.
aSyn in the blood (plasma and serum)
Human blood represents an alternative biological fluid that can be easily obtained using minimally invasive methods. A few studies have reported the identification and quantification of total plasma aSyn, which has been reported in varying concentrations on the scale of thousands of pg/ml (i.e., 3600 to 1,777,100 ± 3,609,600 pg/ml)53–59 (Table 2). The presence of posttranslationally modified forms of aSyn in plasma, particularly pS129, has also been investigated (Fig. 5a) and was reported to vary significantly across different studies (0.8 ± 0.6 fg/ml to 12.9 ± 8.7 fg/ml143 and 878.5 ± 317.4 pg/ml to 756.8 ± 2419.9 ng/ml53,55) (Fig. 5b and Table 1).
The levels of total, pS129 and oligomeric aSyn levels in different blood-derived components, including plasma and serum, have also been assessed as potential diagnostic and prognostic biomarkers of PD (reviewed in refs. 73,75). Using PTM-specific antibodies, Foulds et al.54 reported that aSyn pS129 levels were slightly increased in the plasma of PD patients compared to HC, but no significant differences were reported at the levels of oligomeric pS129 aSyn between the two groups (Fig. 5c). Remarkably, using the rabbit polyclonal anti-ubiquitin antibody FL‐76 (Santa Cruz Biotechnology), they described the detection of mono- and polyubiquitinated aSyn species in plasma; however, the ubiquitination sites and chain lengths were not defined. In a follow-up study, the authors showed that pS129 levels remain unchanged over a span of 20 years after the initial manifestations of PD symptoms55. However, subsequent studies showed an increase in pS129 levels in the plasma of PD patients53,55,143, suggesting that plasma pS129 may be a valuable PD biomarker. Interestingly, in a recent study, the plasma pS129 levels did not correlate with cognitive decline143 but were associated with motor severity and disease progression (i.e., increasing levels of pS129 over time) in a follow-up study of 3.5 ± 2.1 years143.
Recently, Chen et al.144 developed a novel approach using a modified PSPWB coupled to an immunoassay and a label-free technique for quantifying pS129 aSyn in diluted human serum and assessing its suitability as a diagnostic biomarker for PD. They reported that pS129 could be detected in diluted human serum human plasma in the range of 0.5 to 5 ng/ml in HC, whereas in PD, its levels ranged from 4 to 12 ng/ml. Interestingly, when comparing the levels of pS129 aSyn levels between PD patients and HC, they observed a substantial area under the curve (AUC) value (0.92), indicating that pS129 aSyn in diluted serum could be a potential PD biomarker. However, this study relied on a small sample size (10 PD patients and 11 HC); thus, further studies are required to validate these findings.
In a brief report published in 2013, Fernandez et al.145 described that nitration of aSyn could be detected in serum but not in CSF samples and suggested higher levels of nitration at Tyr125/136 residues and lower levels of nitration at Y39 in PD patients than in healthy controls (Fig. 5c). Moreover, the ratio of Tyr125/136 to Tyr39 aSyn was higher in early PD patients than in controls or advanced PD patients. However, no subsequent studies have confirmed or validated these findings or the antibodies used by the authors.
aSyn in the RBCs
RBCs, or erythrocytes, are an additional blood-derived component that has been extensively explored for potential biomarkers. This compartment is the most abundant cellular fraction of human blood and is recognized as the primary source of aSyn in the blood60. Initial studies by Barbour et al. reported that ~99% of blood aSyn species are derived from RBCs, where its concentration is 26,200 ± 3000 ng/ml60. Recently, this was confirmed, to some extent, by two independent studies based on quantitative MS/MS approaches61,62, where aSyn was reported to be among the 20 most abundant proteins in RBCs61, and its concentration in RBCs was later reported to be in the range of 40 μg/ml62 (Table 2).
Vincent-Miranda et al. reported the detection of several posttranslationally modified forms of aSyn in RBCs, including phosphorylation (Y125), nitration (Y39), glycation and SUMOylation146. They reported increased levels of pY125, nY39, and glycated aSyn in the RBCs of PD patients compared to controls. In contrast, SUMOylated aSyn levels were decreased in PD patients compared to HC. Furthermore, the authors failed to detect ubiquitinated aSyn in these samples146. This study was based on the detection and quantification of modified aSyn forms through immunoblotting analysis (dot blots) using a selected set of antibodies against aSyn PTMs, mainly a single antibody against each selected PTM. However, in this study, it was not clear whether several antibodies were screened before the selection of antibodies against PTMs, and the main findings were not validated by independent techniques such as MS/MS. In addition, the method used in this study (comparison of dot blots) is not considered a robust, precise and sensitive quantitative assay for the assessment of PTM concentrations in RBCs and could lead to inconclusive evidence regarding their potential value as biomarkers of PD.
Because RBCs are considered the major source of aSyn in the blood60, different studies were conducted with the main aim of purifying aSyn from RBCs through extensive protocols based on multiple chromatography steps147,148. Using immunoblotting analysis and MS-based approaches, it has been shown that full-length aSyn is the predominant species in RBCs. In addition, a truncated form of aSyn was consistently detected by WB in samples from healthy donors. However, to the best of our knowledge, the precise sequence of this truncated form has not been mapped, and there have been no studies to determine whether its levels change in synucleinopathies or during disease progression.
In addition to the abovementioned aSyn PTMs in RBCs, pS129 levels have also been identified and detected in the range of 24.48 ± 7.6 to 636,050 ± 6030 pg/mg149–151 (Fig. 6a, b and Table 1). The levels of pS129 in RBC subcellular fractions were reported to be increased significantly in the cytosolic fraction and to a lesser degree in the membrane fraction of samples from PD patients compared to controls149. Elevated pS129 levels in RBCs were also reported in patients with purely motor PD compared to HC, whereas lower levels of pS129 were observed in PD with cognitive impairment than in purely motor PD150. In another study using WB and ELISA, Li et al.151 reported significantly higher pS129 aSyn levels in MSA patients than in HC. The authors also described significant differences between two subgroups of MSA patients [parkinsonian (MSA-P) and cerebellar (MSA-C)]. MSA-P patients displayed higher pS129 values than MSA-C patients151.
The increased levels of aSyn in RBCs compared to the other blood components and biological fluids could explain why it is easier to detect higher levels of modified forms of aSyn and suggest that RBCs may be a valuable source of aSyn biomarkers for the diagnosis and prognosis of PD. However, more systematic studies are needed to profile and quantify the levels of the different aSyn species in RBCs from large cohorts using a combination of robust unbiased and targeted proteomic approaches62,152.
aSyn PTMs in saliva and tears
In addition to CSF and blood-derived fluids, saliva and tears have also been investigated as potential sources of biomarkers for PD because both types of fluids can be collected via a noninvasive method and are free from blood contamination. To the best of our knowledge, no studies have reported the identification and quantification of posttranslationally modified aSyn in saliva or tears, which could be attributable to the low levels of aSyn in these fluids compared to CSF, plasma and RBCs [concentrations in saliva are 7.104 ± 5.122 to 314.03 ± 435.90 pg/ml64–66 or even on a ng/mL scale (i.e., 159.4 ± 61.6 to 229.9 ± 64 ng/ml)67; concentrations in tears range from 32.02 to 361.16 pg/mg68,69].
Oligomeric aSyn
The lack of correlation between LB pathology and PD development or severity, combined with accumulating evidence pointing toward the increased toxicity of oligomeric forms of aSyn, inspired efforts to search for oligomeric aSyn species in biological fluids as well as to assess their potential as biomarkers for PD and other synucleinopathies. Over the past two decades, several groups have reported the detection of aSyn oligomers in CSF52,81,82,134, blood constituents (plasma and RBCs)82,153–157 and other biofluids such as saliva65,66,158, relying primarily on immunoassays such as ELISA.
In CSF, oligomeric aSyn levels were mainly reported to be increased in PD compared to controls51,52,81,82,125,130,134. The diagnostic potential of aSyn oligomeric species was assessed in a meta-analysis report considering the levels of this aSyn species from different studies. In this report, the authors demonstrated that the sensitivity and specificity of assays for oligomeric aSyn forms remain unsatisfactory and not adequate to support clinical decision-making51. Nevertheless, the ratio of oligomeric aSyn to total aSyn levels in CSF81,128,133,134 displayed an improved diagnostic accuracy over utilizing the levels of the former alone, implying that this ratio is potentially a reliable PD biomarker.
The association between oligomeric aSyn levels and disease progression was also evaluated in different follow-up studies. Majbour et al.78 reported the association of oligomeric aSyn levels with PD severity and progression. This finding was further confirmed in subsequent studies by the same group79,80,132, suggesting that oligomeric aSyn species could be utilized as prognostic PD biomarkers. On the other hand, Murakami et al.159 observed no association between oligomeric aSyn levels and disease progression.
Additionally, aSyn oligomer levels have been explored in blood constituents. In 2006, El-Agnaf et al. reported that plasma aSyn oligomeric levels were significantly higher in PD patients than in control subjects153. These findings were further confirmed in consequent studies from different groups reporting an increase in aSyn oligomeric levels in plasma154 and red blood cells156,160. However, in other reports comparing the levels of blood aSyn oligomeric levels between PD and control individuals, no significant difference was identified82,155,157. Interestingly, in a recent report, Tian et al., using an ECL immunoassay, reported that oligomeric aSyn levels were significantly increased in the membrane fraction of RBCs in PD patients compared to control subjects, while no significant changes were identified in the cytosolic fraction of RBCs149. Furthermore, the levels of aSyn of oligomeric species were assessed in studies of salivary biomarkers, showing an increase in oligomeric aSyn levels in addition to a higher ratio of aSyn (oligo) to aSyn (total) in PD patients than in controls65,66,158. Nonetheless, these findings need to be confirmed in further studies using larger cohorts and by independent laboratories.
Posttranslationally modified oligomers
A review of the literature revealed a lack of studies evaluating and determining the levels of modified aSyn oligomeric and/or aggregated species. Indeed, to the best of our knowledge, only two studies, published by the same group, attempted to quantify the levels of aggregated phosphorylated species of aSyn in CSF and plasma (see sections: pS129 in CSF and aSyn PTMs in plasma/serum; Table 1). In both studies, the quantification of oligomeric phosphorylated aSyn species was performed using an in-house ELISA that relied on a commercially available antibody (anti-pS129 from Epitomics) as the capture and an in-house biotinylated p129 antibody as the detector. Outside this work, the presence of oligomeric phosphorylated species and their value as a biomarker have not been further explored. Moreover, the in-house ELISA used for the quantification of oligomeric-phosphorylated species could not differentiate between the different forms of aSyn, i.e., oligomers and fibrils49,54. Therefore, it remains unknown whether the aggregated phosphorylated species reported in CSF and plasma represent oligomers, fibrils or other aggregated forms of the aSyn protein.
One of the major challenges associated with measuring oligomeric forms of aSyn is that we have no insight into the biochemical and structural properties of native oligomeric aSyn. Because of their dynamic and unstable nature compared to the highly stable and protease-resistant fibril forms of the protein, some types of aSyn oligomers can be more susceptible to dissociate as recently reported by Luth et al.161. Therefore, artificial oligomers, usually one type, are used as calibrants, and in most cases, a chemically modified oligomeric form of the protein is used. The extent to which these chemical modifications affect the binding of the calibrants to antibodies or the ability to measure their concentration accurately has not been assessed. This, combined with the diversity of oligomer calibrants used and differences in the purity of the calibrants (i.e., the presence of other aSyn species (monomers or fibrils)), could also contribute to the considerable variation in absolute levels of aSyn oligomers measured by the different assays across different laboratories. Finally, it is important to stress that no current assay used to measure oligomers distinguishes between oligomers and fibrils;49,54 thus, labeling these assays as oligomer assays is misleading. Until we have tools that differentiate between oligomers and other aggregated forms of aSyn, we should use the terms aSyn aggregates instead of aSyn oligomers and aSyn aggregate assays instead of aSyn oligomeric assays. Another major limitation in the measurement of aSyn oligomeric species as a diagnostic and prognostic marker for PD and other synucleinopathies is the scarcity of commercially available kits. This drawback drove the PD research community to develop different in-house assays. Despite the efforts in developing assays to monitor and quantify oligomers, comprehensive characterization of the employed calibrants and antibodies was not always carried out or made available, including independent validation of the biotinylated and in-house antibodies and the aggregate-species specificity of the antibodies (i.e., specificity for aSyn oligomers vs. other aggregated species) in addition to the purity of the calibrants (i.e., characterization of oligomers or aggregated forms by EM)79,80,132.
Therefore, it is of paramount importance to (1) conduct further studies using a well-characterized and validated set of antibodies against the aggregation states of the aSyn protein162 utilizing not only recombinantly generated standards but also cellular models to mimic physiological conditions; (2) extensively share data regarding the new antibodies and include the validation data in the reports; (3) openly communicate the characterization and validation data of the newly generated antibodies in the published reports; and (4) use properly characterized calibrants, ensuring that the reported observations are against aSyn oligomers and no other aggregated species.
Seeding-competent aSyn species
Sensitive and specific aSyn SAAs, also named in the literature as RT-QuIC and/or PMCA, have been developed and optimized to amplify and detect minute amounts of aggregated aSyn not only in CSF35,85–88 but also in peripheral tissues (e.g., skin or colon biopsies)36,72,83.
Initial studies attempted to validate the seeding activity of aSyn by comparing brain and CSF samples. Interestingly, the great majority of the studies using these assays with CSF samples displayed good performance (high accuracy, sensitivity and specificity) as a potential diagnostic tool for PD163. In one comparative study, two independent groups evaluating the same sample set using two different aSyn SAAs (PMCA and RT-QuIC) reported similar results, exhibiting high sensitivity and specificity values, reflected by an improved AUC (i.e., PMCA-AUC = 0.93 and RT-QuIC-AUC = 0.89) for the clinical diagnosis of PD35. Besides, when considering only the samples with consistent findings similar in both aSyn SAAs, the AUC increased to 0.94. Overall, the authors emphasized and confirmed the reproducibility of both assays and their accuracy/performance for PD diagnosis35. In a recent study, Russo et al. corroborated, to some extent, the reproducibility and potential of different aSyn SAAs as a diagnostic PD tool87. In more detail, the authors performed a blind comparative study that relied on aSyn SAAs developed from three independent research laboratories, and each laboratory used its selected material/reagents and methodologies. They reported that the aSyn SAAs exhibited concordant findings among the three labs, with small variations in sensitivity and specificity determined by each group87.
Over the past few years, the aSyn SAA assays have been increasingly used and refined to allow for differentiating between PD and other synucleinopathies. Fairfoul et al.85 compared a small cohort that comprised patients suffering from DLB, DLB with AD, AD with incidental LB, PD and HC. They reported that aSyn PMCA could identify controls and patients with tauopathy-related conditions with perfect specificity and that it had high sensitivity in discriminating the different synucleinopathy-related cohorts except for DLB with AD. Remarkably, several groups have corroborated and demonstrated similar results in discriminating PD from controls, highlighting the performance of aSyn SAAs as a potential diagnostic tool35,72,83,84,87.
Other studies have also compared the performance of aSyn SAAs in distinguishing PD from other synucleinopathies. Using aSyn SAAs, CSF aSyn strains could be discriminated86,88,164, suggesting that pathogenic aSyn species might display different conformations in different aSyn-related disorders. Moreover, these assays may play a key role in the preclinical identification of patients who may progress to PD34,89. In greater detail, Shahnawaz et al. demonstrated that the aSyn PMCA could discriminate PD and controls with high sensitivity and specificity and showed correlation with the severity of the disease. Interestingly, they also showed that aSyn PMCA could open new avenues in preclinical risk stratification, identifying patients who may develop PD89. This was further confirmed, to some extent, in recent reports that study idiopathic rapid-eye-movement sleep behavior disorder (iRBD)86,89.
In addition to studies focusing on aSyn SAAs in CSF, several other studies have sought to evaluate the performance of these assays using peripheral tissues (e.g., skin36, olfactory mucosa and colon biopsies35,72,83–85), also displaying promising results in terms of sensitivity and specificity. For more recent reviews on the development of aSyn SAA and their recent applications in biomarker discovery and characterization of different synucleinopathy cohorts, please refer to ref. 163.
Regardless of the high performance of aSyn SAAs as diagnostic tools, one of their major shortcomings is the lack of quantification of the aSyn aggregates, which consequently may hinder their application for monitoring disease progression. As kinetics parameters are normally used to measure aggregation rates, the quantification of aSyn aggregates when seeded with the biological specimen from PD and other synucleinopathy-derived patients remains to be determined. A recent study by Russo et al.87, comparing aSyn SAAs from three independent labs, showed some potential interesting associations of kinetic parameters with clinical data that could allow for monitoring disease progression and severity. However, the authors could not confirm the value of these assays to monitor disease severity/progression, as they identified inconclusive findings across all three aSyn SAAs/labs. Therefore, the authors suggested that quantitation may solely be feasible via multivariate analysis with power statistical analysis and appropriate normalization of the data from larger cohorts. Remarkably, a recent report showed that RT-QuIC may be useful to monitor MSA disease progression86. Poggiolini and collaborators confirmed the potential value of RT-QuIC as a diagnostic tool for PD as well as to distinguish MSA from PD. They also reported that the RT-QuIC quantitative parameters correlated with worse clinical MSA progression, but not with PD clinical scores. Furthermore, they demonstrated the potential of SAA as an early diagnostic tool, predicting iRBD patients who may develop synucleinopathy pathologies86. Overall, this study86 emphasizes that aSyn SAA may open new avenues for early clinical and intervention decision-making along with monitoring MSA disease progression. Nonetheless, more studies with larger sample sizes encompassing MSA but also other synucleinopathy subgroups and extended follow-up clinical data are required to establish whether aSyn SAA can be used as both diagnosis and prognosis tool.
Despite the high sensitivity and specificity shown for some assays using CSF and peripheral tissues, the invasive collection methods and considerable demands on the patient and clinician may limit their clinical implementation and application. Therefore, we recommend the application of these assays to blood components (e.g., whole blood, erythrocytes or plasma), saliva and tears. This could pave the way for noninvasive novel diagnostic assays that could be used to support early diagnosis, patient recruitment and stratification for clinical trials; to assess target engagement in clinical trials of aSyn targeting therapies; or to monitor disease progression.
aSyn in exosomes/extracellular vesicles in body fluids as biomarkers of PD
The cell-to-cell propagation of aSyn has been implicated as a central process in aSyn pathology spreading and PD progression, although the exact mechanisms regulating this process remain a subject of active research165,166. Given their presence in biological fluids and their important role in cell-cell communication, extracellular vesicles (EVs) have emerged as possible candidates for regulating the cell-to-cell transfer of aSyn and pathology spreading. Furthermore, several proteins involved in proteinopathies (aSyn, amyloid-beta and tau) have also been found in EVs167–169. Therefore, several studies pursued EVs (predominantly exosomes)-derived aSyn as a potential diagnostic biomarker for PD.
Exosomes are EVs produced by different types of cells, have diameters ranging from 50 to 100 nm, and contain a complex mixture of molecules, including proteins, lipids, and nucleic acids. Their secretion, transfer from one cell to another, and ability to cross the blood-brain barrier and move between the brain and systemic circulation make EVs central players in cell-to-cell communication in health and disease170. They can transport and spread both physiological and pathological molecules, including toxic and seeding competent protein aggregates such as aSyn171. For example, microglial exosomes facilitate aSyn cell-to-cell transfer172 and pathology formation. Interaction between aSyn and cell-derived exosomes has also been reported to accelerate aSyn aggregation in vitro173.
The availability of different protocols to isolate EVs from biological fluids (CSF, plasma, urine, and saliva) prompted studies to evaluate their potential as diagnostic biomarkers for PD and other NDDs. Several studies have reported changes in aSyn levels in CSF174, plasma/serum59,175–181, and salivary exosomes in PD and synucleinopathy patients182. Other studies reported that exosomal aSyn species can seed aSyn aggregation in vitro and pathology formation and spreading in vivo. For example, Stuendl et al. reported lower levels of EV-bound aSyn in the CSF from PD and showed that EVs aSyn from the CSF of PD or DLB contains seeding-competent aSyn species174.
aSyn is very abundant in RBCs and RBCs-derived aSyn could be a major source of aSyn contamination in the CSF59,122. Therefore, different strategies have been employed to specifically isolate and quantify CNS and brain-derived EVs, including the use of antibodies directed against the neural L1 cell adhesion molecule (L1CAM) as well as to SNAP25, EAAT1, OMG)179,183,184. Initial studies by Shi et al. reported the isolation of the CNS-specific EVs from plasma using a magnetic bead-based capture assay that pull-down L1CAM-derived EVs and showed that aSyn is present in these EVs and at higher levels in PD patients, compared to the control cohort. They also reported a significant but weak correlation between exosomal aSyn levels and disease severity59. Several other studies also showed increased levels of EV-associated aSyn in plasma and serum of PD patients175–180. In contrast, Si et al. reported decreased levels of serum EV-derived aSyn in PD patients181.
In a recent report, it has been suggested that the ratio of aSyn levels in potential oligodendroglial exosomes compared to neuronal exosomes enables to differentiate betweeen PD and MSA patients180. The value of plasma neuronal exosomes as a prognostic marker for PD progression was also evaluated in a follow-up study of 22 months. It was shown that EVS-derived aSyn levels were associated with a higher risk of motor symptoms177, but further studies are needed to validate these findings.
Subsequent studies investigated changes in the levels of pathological aSyn species (oligomers/fibrils, insoluble, proteinase K resistant aSyn, and pS129 aSyn) in relation to total aSyn in plasma/serum exosomes from PD patients and HC177,181,183,185. Using two exosome purification strategies and a battery of assays such as Electron Microscopy, nanoparticle tracking analysis and WB, Zheng et al. identified oligomeric and phosphorylated aSyn species inside but also on the membrane surface of plasma exosomes185. They reported lower levels of total aSyn and higher values for the ratios of aSyn oligomer/total aSyn and aSyn/total aSyn or pS129 pS129 in the plasma exosomes of PD patients. Higher levels of oligomeric aSyn EVs (oligomeric aSyn/total aSyn) were also seen in salivary EVs185. However, there was no correlation between these values and disease severity. It has been also shown that the levels of aSyn in L1CAM-positive EVs are higher in individuals with REM sleep behavior disorders177,178, who are known to be at higher risk of developing PD. Interestingly, the levels remain high in individuals who progress to develop PD177. Very limited studies have been carried out to investigate changes in the levels of oligomeric aSyn species in neuron-derived EVs. In one study, lower levels of oligomeric aSyn levels were reported in PD patients, with differences seen between PD patients with and without tremor symptoms181, whereas other studies reported higher levels177,183. Other studies have also investigated the correlation between pS129 aSyn levels and PD. Jiang et al. reported increased neuronal exosomal pS129 aSyn levels in a subgroup of PD patients, in the absence of a correlation with disease severity178. In another study, unmodified and pS129 aSyn species were found on the membrane surface and inside exosomes and exhibited reduced solubility after PK treatment185.
Studies of EVs carrying aSyn were predominantly focused on CSF and blood-derived samples, however, EVs have also been evaluated in body fluids such as urine and saliva182,186,187. EVs-derived aSyn was identified in saliva182,187, but not in urine186. The salivary levels of aSyn oligomers along with the ratio of aSyn oligo/aSyn total were reported to be higher in PD when compared with controls182,187. However, the levels of these aSyn species did not show any association with age and disease duration182,187.
Although several studies have shown that differences in the levels of aSyn species in EVs could differentiate PD patients from HC, such differences are not robust enough to allow for monitoring disease progression. It has been suggested that this could be because the EVs measured include a combination of both brain- and peripheral nerves-derived EVs182,183. Further longitudinal and follow-up studies in larger cohorts are needed to improve the sensitivity and specificity of EVs aSyn species and to validate their potential as biomarkers to monitor disease progression or differentiate between PD and other synucleinopathies. Furthermore, a better understanding of the mechanisms responsible for the secretion and clearance of Evs aSyn and the role of specific EVs aSyn species in disease development and/or progression could pave the way for achieving this goal. It is plausible that exosomal secretion of specific forms of aSyn represents a protective mechanism aimed at lowering the levels of intracellular aSyn. In contrast, secretion of aggregated forms may represent a toxic mechanism by facilitating the spreading of toxic aSyn species and pathology in the brain. Finally, recent studies suggest that the incorporation of other protein biomarkers, including DJ-1 and LRRK2, but also blood proteins such as clusterin, apolipoprotein A1, and disease-triggering miRNAs and mRNAs176,182,186–188 could improve the diagnostic potential of EVs. For recent and detailed reviews on EVs formation, function and diagnosis and prognosis utility, please see refs. 167–169,188–190.
Outlook
Clinical PD research: challenges and recommendations
Our review of the literature on the presence of aSyn species in biological fluids exposed several challenges that hinder progress in aSyn biomarker discovery and validation: (1) the lack of standardized guidelines for sample collection and handling (i.e., preanalytical and analytical confounding factors) and patient selection criteria; (2) the nature of the methods/assays that focus only on detecting a single aSyn proteoform rather than embracing the PTM complexity; (3) the use of nonspecific antibodies or antibodies that have not been well-characterized and validated using the appropriate protein standards; and (4) the usage of poorly characterized or impure protein standards. Therefore, in the following section, we expand on discussing these challenges and provide recommendations to address them as an essential step to enable (in the near future) systematic assessment of the potential of aSyn (total, PTMs or aggregated forms or their combination) as biomarkers for (1) early detection and monitoring of disease progression; (2) patient stratification and (3) evaluating the efficacy of novel therapies.
Sample size and diversity
Our review of the literature also revealed that the vast majority of the studies on aSyn PTMs as biomarkers relied on small sample sizes. The small sample size in PD research led to a poor assessment of variability between patients and experimental reproducibility across different laboratories (Fig. 7a–c).
Particularly, in the CSF studies, aSyn PTMs have mainly been assessed in HC and PD (Fig. 7a) with patient cohorts ranging in size from 8 to 304 individuals, with only a handful of studies using sample sizes of >100 individuals. Interestingly, in aSyn PTM studies, when considering the average size of the cohorts, an average of 60 controls and 90 PD patients were observed (Fig. 7c). Among the studies investigating CSF aSyn PTMs as potential biomarkers, only a few studies evaluated their levels using samples derived from patients suffering from synucleinopathies other than PD (Table 1 and Figs. 4b and 7a)49,50,77,80,128,129. The average sample size decreases dramatically in studies on other synucleinopathies and neurodegenerative disorders (e.g., MSA: 20; DLB: 30; PSP: 30) (Fig. 7c). Moreover, only a single study included patients suffering from CBD, FTD and VD.
Remarkably, studies focusing on aSyn PTMs in blood constituents (i.e., plasma/serum and red blood cells) have mainly compared PD with controls53–55,143,146,149,150,191 (Fig. 7b, c) and relied mainly on less sensitive biochemical techniques such as ELISA. To the best of our knowledge, aSyn PTMs in plasma/serum studies have been evaluated solely in controls and PD patients with sample sizes ranging from 5 to 189 individuals (Fig. 7b). However, when all the studies are considered, the average sample size is 60 HC and 70 PD patients (Fig. 7d). Only in one study was the number of PD patients above the average sample size (n = 189)55. As in the plasma/serum studies, the levels of aSyn PTMs in erythrocytes were assessed in relatively small cohorts ranging in size from 21 to 225 subjects (Fig. 7c), with a mean cohort size of 90 HC and 100 PD individuals. One single study assessed the levels of pS129 aSyn in erythrocytes in other synucleinopathies, i.e., a comparison of 107 MSA patients with 220 controls151 (Fig. 7c, d). Additionally, regarding gender representation, most of the studies present gender bias, with male patients being overrepresented (Fig. 8). It is also important to stress that most of the studies have been carried out on white populations, encompassing American, European and Asian, while underrepresented groups from other ethnicities such as African Americans, Africans or middle east populations remain understudied192–194.
Altogether, the small sample sizes may be associated with different drawbacks of current approaches, such as (1) the invasive nature of CSF collection; (2) the nature of the patients’ demographic data (e.g., elderly and nonautonomous); (3) difficulties in the accessibility to the specialist centers that are mainly in urban areas; (4) low incentives for participation in the studies; and (5) the requirement of multiple sample donations.
Nonetheless, because of the heterogeneity of PD and other synucleinopathies, multicenter biomarker studies with large sample sizes and appropriate patient selection (e.g., age, gender, stages of the disease, patient clinical manifestations, lifestyle or comorbidities) encompassing PD and other synucleinopathy and neurodegenerative groups (e.g., MSA, DLB, PDD, PSP, AD) are needed. The large sample sets would allow the generation of a discovery cohort and independent validation cohorts with the appropriate sample sizes to enable rigorous statistical analysis and validation of reliable single and/or panels of synucleinopathy-related biomarkers. Thus, methodological mapping of aSyn species coupled with multicenter cohort studies of specific patient groups is necessary to allow systematic assessment of the potential of aSyn species as diagnostic biomarkers and to gain additional insights into the pathophysiology and PD and synucleinopathies. These studies will be facilitated by access to different types of biofluids and biopsies from the same patients and control cases and access to biofluids from cases with autopsy-confirmed diagnoses.
Sample collection
The great majority of the samples used in the published studies were collected under conditions that did not account for the reversibility of aSyn PTMs and were not optimized to ensure the preservation of the diversity of aSyn species in biological fluids during sample collection and handling. Previous studies to standardize sample collection focused primarily on preanalytical confounding cofactors122,195,196 such as (1) temperature at which the samples were collected; (2) type of collection tubes; (3) time between sample collection and sample storage; (4) multiple tube transfers (aliquots) and freeze-thaw cycles; (5) usage of nonionic detergents; and (6) collection of samples from various disease groups at different periods. When PTMs were considered, the guidelines for sample collection and standardization focused primarily on preserving serine/threonine phosphorylation. Therefore, standardization and validation of sample collection and handling techniques that both preserve the chemical integrity of the aSyn proteome (i.e., prevent aSyn degradation) and preserve the diversity of PTMs are needed. Each particular aSyn biomarker needs to be assessed via carefully conducted studies of preanalytical variables such as stability of the species during the sample collection procedure, storage, freeze/thaw effects, etc. A single set of SOPs is unlikely to be useful for preserving all aSyn species.
Modified aSyn protein standards
Initially, researchers in the field did not have access to pure protein standards of site-specifically modified aSyn proteins. Therefore, many preceding studies, aiming to quantify pS129, used aSyn protein standards that were generated by incubating recombinant aSyn with kinases that were later shown to phosphorylate aSyn only partially at S129 (e.g., casein kinase II), thus resulting in impure protein standards49,50,54,55,77,151. In many of these studies, it is unclear whether the phosphorylated protein was purified or whether mixtures of unmodified and pS129 aSyn of unknown proportion were used as pS129 standards49,54,55,77,151.
The discovery of the Polo-like kinases (PLKs): PLK2 and PLK3, as kinases that efficiently and quantitatively phosphorylate aSyn in vitro and in cells, made the generation of pure pS129 protein standards possible53. Unfortunately, in many cases where PLK2 or PLK3 were used, the extent of aSyn S129 phosphorylation was not reported. Again, in many cases it was not described whether the pS129 aSyn proteins used were purified from the in vitro phosphorylation reaction mixture (Table 1). Furthermore, in the majority of published biomarker studies, the analytical data on the purity and characterization of the protein standards used were not presented. Such data should be included in future studies to demonstrate that the protein standards used are highly pure and free of aSyn truncations, oligomers or other aggregated forms of the protein.
Over the past 10 years, our group has pioneered the development of several semisynthetic strategies that allow for the site-specific introduction of single or multiple PTMs throughout the sequence of aSyn197–203. These advances have enabled us to generate highly pure and homogeneously modified forms of aSyn that encompass the great majority of aSyn species detected in the brain, CSF and blood. The availability of these reagents and other semisynthetic proteins has already been instrumental in facilitating the development of novel and more robust tools and assays for the detection and quantification of aSyn through (1) the production of homogenously and site-specifically modified aSyn protein standards bearing single or multiple PTMs and (2) the generation of PTM-targeting antibodies53,135,199,201,204. Notably, the main pS129 aSyn protein standards used currently by researchers in the PD research community were produced on a large scale (hundreds of milligrams) using protein semisynthetic strategies developed by our group199 and through close collaboration with a contract research organization funded by the Michael J. Fox Foundation, or MJFF (e.g., pS129 aSyn protein, which is now commercially available through MJFF and Proteos, Inc). Therefore, the methods for generating high-quality aSyn protein standards exist and should be used to support biomarker discovery and validation.
Antibodies
The vast majority of biomarker discovery studies relied on the usage of antibodies as the primary tool for detecting and quantifying the different aSyn PTMs in the brain, peripheral tissues and body fluids. Our review of this work revealed that (1) the available antibodies recognized only a limited number of aSyn PTMs (e.g., nitration, pS129). The two major reasons for targeting pS129 aSyn as a biomarker are as follows: (1) it is among the most common and abundant PTMs in the brain, and (2) the availability of a large number of antibodies against pS129 that were shown to reproducibly detect pS129 aSyn in the brain as well as in some biological fluids and peripheral tissues16,49,54,55,72,78–80,92,100. Several antibodies against pS129 aSyn have been developed and made commercially available (e.g., pSyn#64 from Fujifilm Wako; pS129 antibody from Epitomics, now acquired by Abcam (EP1536Y); anti-pS129 antibody (825701) from BioLegend)49,53,143,150. Other antibodies against pS129 were developed in house50,77–80,128,129,132 and are not directly accessible to the scientific community.
Interestingly, most of the antibodies against pS129 aSyn have not been validated against proper protein standards that account for confounding effects due to the presence of other proteins and co-occurring or multiple aSyn PTMs. This validation is of key importance given the clustering of multiple PTMs in different parts of the aSyn sequence. Indeed, it has been demonstrated that pS129 antibodies that show high cross-reactivity to other proteins205–207. Besides, our group has shown that the presence of multiple PTMs could, for example, interfere with the detection of pS129 by some pS129 antibodies208. In a more recent study, we demonstrated that the co-occurrence of pS129 with other disease-associated PTMs in the vicinity of S129, including phosphorylation at Y125 (pY125), nitration at Y125 (nY125) or C-terminal truncations at residues 133 and 135, dramatically decreases or abolishes pS129 detection by many pS129 antibodies209. Moreover, using immunoblotting analysis, we have also shown that these antibodies cross-react with other proteins whose molecular weights are similar to those of aggregated aSyn species present in the brain209. Although most pS129 antibodies reliably detect pS129 aSyn in pathological aggregates or soluble pS129 aSyn under overexpression conditions, they exhibit high cross-reactivity when assessing endogenous pS129 aSyn under physiological conditions. These findings underscore the critical importance of validating aSyn antibodies under physiologically relevant conditions using protein standards that account for the complexity and diversity of aSyn PTMs in the brain and biological fluids. Although a number of studies have investigated the specificity of pS129 aSyn antibodies, there are no published studies where the specificity and cross-reactivity of antibodies against other aSyn PTMs, such as nY39, pY39, and pS87, have been systematically investigated.
Regarding the detection of nitrated aSyn, despite the commercially availability of several antibodies targeting nitrated aSyn (nY39, 36-012 (Millipore); nitrated aSyn (nY125/136): nSYn12 (Millipore); nitrosylated aSyn (nY39): nSYn14 (Millipore)), only a handful of studies have reported the quantification of nitrated aSyn species in body fluids using these antibodies146,191. Furthermore, despite the detection of other aSyn PTMs such as ubiquitination, acetylation, SUMOylation, glutathionylation, and glycosylation in the brain90, reliable antibodies against these PTMs are still lacking.
In human brain tissues, the second most commonly observed modified aSyn species result from C- and N-terminal cleavages of aSyn, particularly C-terminally truncated species96,97,99. Only a handful of aSyn truncation-specific antibodies have been generated and used to study the presence of truncated aSyn species in pathological aggregates, e.g., Syn105 from Prothena (recognizes aSyn truncated at position 122) and aSyn-131 (recognizes aSyn truncated at position 119) and aSyn-134 (recognizes aSyn truncated at position 122) from Roche210. Despite their existence, they are not readily accessible to the scientific community. There are no antibodies that specifically recognize N-terminally truncated forms of aSyn.
The mapping and profiling of truncated aSyn fragments in the brain have been achieved primarily by WB analyses and more recently by MS approaches (Fig. 2)16. Interestingly, none of the body-fluid-based reports described in this review attempted to specifically detect or quantify truncated aSyn or evaluate whether their presence could interfere with accurate determination of aSyn. A recent comparative study demonstrated that three of the most commonly used immunoassays (ELISA) to measure total aSyn levels failed to detect the most disease-associated C-terminally truncated forms of aSyn. It showed that several N-terminal truncations and phosphorylation differentially influence aSyn detection and recovery by the three immunoassays211. Overall, the majority of published or commercially available immunoassays relied on antibodies that were not thoroughly validated, or the validation data were not reported.
Among the major limitations of the current assays (e.g., ELISA, WB) are: (1) Some of the antibodies used may detect different forms of aSyn and not only the target aSyn species of interest, thus leading to inconclusive or irreproducible measurements. (2) Body-fluid-based biomarker studies have mainly focused on the quantification of the most prominent aSyn PTM, pS129, which does not reflect the complexity of aSyn PTM patterns in biological fulids49,54,79,128,129,132. For example, neither the possible presence of aSyn truncations nor the potential disruption of antibody binding to aSyn due to the co-occurrence of multiple modifications96,97,99 was taken into consideration in the measurements of aSyn species in body fluids. This could lead to underestimation of aSyn levels and contribute to the variability of aSyn levels across different studies. (3) A large number of the total aSyn biomarker studies relied on antibodies and assays that are designed to detect and quantify a single specific aSyn form rather than evaluating the diversity of aSyn PTMs. In other biomarker studies designed to detect and quantify single aSyn PTMs, the potential impact of the co-occurrence of multiple PTMs in close proximity to the target PTM was not considered during the selection of antibodies or optimization of the assays. Therefore, we recommend prioritizing (1) the development of more specific aSyn antibodies; (2) the development of antibodies that can recognize the different aSyn PTMs, preferably with residue specificity and selectivity; (3) the characterization and validation of antibodies using a library of aSyn protein standards bearing the desired PTM, including proteins comprising multiple physiological and pathologically relevant PTMs; and (4) thorough investigation of the specificity and cross-reactivity of all antibodies in different experimental settings. It is worth considering validating all commercially available and in-house antibodies through independent third-party entities212, which could catalyze the progress of novel and improved antibody-based tools for accurately assessing/mapping aSyn proteoforms and ultimately establish them in clinical practice as diagnostic and prognostic biomarkers.
Methods for measuring protein concentration
Immunoassays and antibody-based assays are among the most used for the identification and validation of protein-based markers, such as aSyn. Interestingly, despite using similar antibodies or antibodies that target the same region of aSyn, studies using these immunoassays have reported significant differences in the concentration of aSyn (Figs. 3a, c, 4b–d, 5b–d and 6b). Several factors have been proposed to contribute to the large deviations in aSyn levels measured with different kits76,122. One additional factor is the lack of well-characterized protein standards. The protein standards provided by different vendors have different concentrations and quality and are produced using different sample preparation and handling procedures. This could also contribute to the large differences in the aSyn levels measured by researchers. Unfortunately, most of the commercial immunoassays do not provide information about the purity (chemical integrity and aggregation state) of the protein standards used in their kits or provide sufficient protein material to allow for independent validation of the concentration or purity of the standards by the users.
Protein concentration determination of the calibrant is of key importance for the quantification of biomarkers. Several methods have been used to assess protein amounts, such as Lowry’s method, the Bradford method, the BCA approach and amino acid analysis (AAA)213–216. Spectrophotometric and colorimetric approaches are characterized as sensitive and reproducible, but their measurements can be affected by the conformation of the protein (aggregation states)214–216, as well as by the presence of reducing agents or surfactants/detergents. On the other hand, AAA, which relies on protein hydrolysis, allows protein quantity and amino acid composition to be ascertained accurately. Thus, it is considered a gold standard method for determining an absolute and exact quantitative measure of the protein standard162,213,217–219. Moreover, this method is independent of any external protein standard curve, protein charge, protein state, or dye-binding percentage. Hence, we recommend using AAA for assessing the absolute quantification of protein standards that will be used as the reference material in the standard curve for different protein concentration assays, such as ELISA and IP-MS/MS.
Unbiased mapping of aSyn species
Although the assays used in aSyn biomarker research could support multiplexing, the majority of studies on aSyn PTMs in biological fluids have mainly focused on a single combination of antibodies (detector and capture antibodies), with a strong emphasis on the detection of one PTM at a time.
Given the lack of antibodies that cover the diversity of aSyn species and the scarcity of data on the role of different PTMs in the physiology and pathogenic properties of aSyn, we recommend revisiting mapping of the aSyn proteoforms in the brain and biological fluids using unbiased experimental approaches, such as MS. This would enable researchers to identify differences in the aSyn proteoform in individuals with synucleinopathies compared to HC, thus enabling the field to prioritize the development of new antibodies targeting disease/pathology-associated aSyn and other abundant PTMs, tools, reagents and assays for biomarker discovery and validation. Altogether, this would lead to the development of novel antibodies and more sensitive approaches (e.g., targeted MS/MS, biosensors) for detecting and quantifying aSyn PTMs and pave the way for decoding aSyn PTMs in health and disease. Furthermore, the identification of PTMs that are specific or more abundant in specific types of synucleinopathies could lead to the development of disease-specific biomarkers and diagnostics. Beyond their important use in biomarker discovery and validation, these tools will also help shed new light on the pathophysiology of this protein and consequently offer a better understanding of the molecular mechanisms underpinning synucleinopathies.
Future directions
To address the aforementioned limitations and challenges, it is essential to (1) standardize protocols for sample collection and handling, aiming to maintain the properties and diversity of aSyn and its modified species; (2) access a large sample set from PD patients and controls as well as patients suffering from other synucleinopathies to conduct biomarker-based studies that reliably assess patient-to-patient variability; (3) standardize selected cohorts regarding disease diagnosis and progression and additional factors (e.g., medical treatment, lifestyle, and comorbidities); (4) harmonize guidelines for the development of novel assays, relying on a panel of well-characterized antibodies and pure and homogeneously modified standards; (5) optimize assays for mapping aSyn PTM patterns at the single-molecule level; and (6) improve the efficiency and sensitivity of MS-based approaches to profile aSyn species using unbiased methods and subsequently quantify these species by targeted methods. Many PTMs may exert their effects by acting on later stages of aSyn aggregation and pathological progression90. Hence, developing new approaches to investigate the role of post-aggregation PTMs in regulating aSyn aggregation, pathology spreading and toxicity is essential. In the context of biomarker discovery and validation, future studies should focus on measuring the levels of modified aggregated proteins. Collectively, this will facilitate the development of novel assays to simultaneously measure and quantify the ratios of various aSyn species (e.g., total, phosphorylated, nitrated, aggregated, or modified aggregated species).
The detection of monomeric and aggregated aSyn forms in body fluids (e.g., CSF44–52, blood components53–63, saliva64–67 and tears68,69) as well as in peripheral tissues36,70–72 presents unique opportunities for the identification and validation of novel disease-relevant aSyn-based markers. However, increasing evidence suggests that it is unlikely that measuring a single aSyn species or total aSyn on its own will provide a sensitive diagnostic biomarker for early disease detection and monitoring of progression.
We propose that the use of a combination of biochemical and structural aSyn biomarkers and NDDs biomarkers is likely to yield a better performance diagnostic for early detection, patient stratification and monitoring of disease progression, thus paving the way for more personalized therapies for the management and treatment of PD and other synucleinopathies. Thanks to recent advances in the detection and amplification of aSyn aggregates in biological fluids and peripheral tissues as well as cryogenic electron microscopy (cryo-EM) in enabling near-atomic-level structural insight into aSyn brain pathology, we are closer to achieving this goal.
The development of aSyn SAAs (i.e., PMCA and RT-QuIC) has enabled the efficient amplifications of minute amounts of aggregated aSyn in CSF35,85,86,88, skin biopsies36,83, or colon biopsies72, thus facilitating the development of assays that enable the differentiation of PD patients from controls with remarkable specificity and accuracy36,88, and potentially differentiate PD from other synucleinopathies36,88 and predict disease development.
On the structural side, our understanding of the structural properties of aSyn aggregates was initially primarily based on solid-state nuclear magnetic resonance studies performed on aSyn oligomers and fibrils220,221. Recently, thanks to advancements in cryo-EM, near-atomic models of aSyn fibrils were obtained from in vitro preparations28,222–225 as well as postmortem brain patients with MSA17,226. The resulting cryo-EM structures revealed the folding landscape of the aSyn monomers into different polymorphs. To date, most of the structures have been derived from in vitro preparations due to the ease of sample preparation for cryo-EM imaging.
Interestingly, aSyn fibrils derived from the brains of patients with MSA and DLB demonstrated that they have different morphological and structural properties, supporting the idea of disease-specific structure classification of synucleinopathies227. Strikingly, the cryo-EM structure of MSA fibrils from the brain227 is dramatically different from all the structures of aSyn obtained from different preparations of recombinant aSyn fibrils. This underscores the critical importance of establishing that the tools and assays we use to detect or quantify aSyn aggregates are able to detect native (brain-derived) aggregates, in addition to other types of aSyn fibril structures.
Greater success has been achieved in solving amyloid fibrils from other NDDs, such as AD228,229 and ALS230. We believe that it is only a matter of time before the structure of aSyn aggregates from different synucleinopathies will be solved. Although several groups have shown progress toward amplifying brain and peripheral-tissue-derived aSyn aggregates using the aSyn SAAs, it remains unclear whether the in vitro amplified structure faithfully reproduces the structural properties of the native aggregates. However, we predict that we will soon have access to methods that allow us to faithfully replicate and amplify the structure of native aSyn aggregates in vitro. These advances will pave the way for a new structure-based classification of synucleinopathies as was recently achieved for tauopathies231. Achieving this goal could enable the differentiation of proteinopathies by targeting the different polymorphs and the development of disease-specific structure-based diagnostics and therapeutics.
To fully realize the potential of these new advances and develop more reliable biochemical and structural aSyn biomarkers, it is crucial to first map the biochemical and structural diversity of aSyn in biological fluids (CSF and plasma), peripheral tissues and postmortem brain tissues. Quantitative proteomics (MS methods) can be used to determine the distribution of aSyn species defined by different PTMs, as well as the aSyn proteome profile associated with each sample type. A combination of aSyn SAA and cryo-EM approaches can also be used to map the polymorphism and structural diversity of aSyn aggregates (Fig. 9a). For the first time, these methods will allow researchers to ascertain the relationship between the distribution of aSyn species in the brain and CSF and whether the CSF provides a window to aSyn pathology in the brain. Similarly, these studies will also enable the first comparative studies to identify the similarities or differences between aSyn pathology in the brain and peripheral tissues.
We envision a future in which samples from various peripheral tissues and body fluids will be collected at different time points over a follow-up period from patients with different synucleinopathies. These samples will be simultaneously analyzed by (1) aSyn SAA to quantify the levels of aSyn aggregates and perhaps obtain the signature aggregation kinetic profile of aSyn and different amyloid-forming proteins (Tau and TDP-43) in the sample; (2) detection of total aSyn forms using assays that capture the diversity of aSyn species; and (3) detection and quantification of a panel of 4–8 disease-associated posttranslationally modified forms of aSyn using immunoassays or MS-based approaches. The low throughput of cryo-EM precludes its inclusion as a diagnostic tool. However, we anticipate that the availability of a large number of structures from native aSyn fibrils and aggregates will pave the way for simplified high-throughput methods for profiling structural diversity in biological samples. This can be achieved by assembling panels of antibodies targeting different sequences and conformations, which would enable rapid indirect profiling of aSyn fibril structure and polymorphism. Furthermore, the mid-infrared spectroscopy technique could be used as a complementary approach in this workflow, as it is a fast, chemically specific, label-free and nondestructive method capable of identifying secondary structures by leveraging the infrared absorption fingerprints of proteins232 (Fig. 9b). To overcome the inherent limitations of classical bulk infrared sensing (low sensitivity and the overlap in absorbance between water and proteins), its derivatives, such as attenuated total reflection-Fourier transform infrared spectroscopy (ATR-FTIR) and surface-enhanced infrared absorption spectroscopy (SEIRA), have been developed to serve as potential structural biomarker sensors by differentiating pathological beta-sheet-enriched neurodegenerative markers from intrinsically disordered/α-helix-enriched healthy monomers. For example, an immunological IR sensor based on the ATR-FTIR technique was developed for the early detection of AD through measuring the overall secondary structure distribution of amyloid-beta in body fluids such as blood and CSF233,234. SEIRA is still in its infancy but has already demonstrated its potential to perform conformational differentiation at the molecular level in a monolayer of aSyn fibrils and monomers235 and identify structural changes in the protein monolayer at high resolution in real time236. The identification of the aSyn proteoforms that are specific to each synucleinopathy (e.g., PD, PDD, DLB) could also enable the development of complementary assays that target specific species or PTM signatures, which would further improve the fingerprinting of biological samples.
In summary, this workflow could enable comprehensive quantitative biochemical and structural profiling of disease-specific aSyn species. When integrated into a point-of-care platform, it could enable early diagnosis and prognosis, patient stratification and guide clinical decisions.
Other neurodegeneration-related biomarkers for synucleinopathies
Increasing evidence supports the hypothesis that PD and most likely other synucleinopathies do not represent a single entity diseases, but are rather heterogeneous and should be categorized into different subtypes based on the main underlying molecular mechanisms associated with each subtype. In addition, there is a consensus today that PD is characterized by the presence of multiple pathological aggregates, including Tau, amyloid-beta and TDP-43 aggregates237,238, which may contribute to the clinical heterogeneity of PD and other NDDs239,240. Although some studies have shown a correlation between the presence of multiple pathologies and diseases progression or symptomology241, the extent to which the levels of the different copathologies vary during disease progression or between the different synucleinopathies remains a subject of active investigation. The relative contributions of aSyn loss and gain of toxic mechanisms to the development and progression of the different disease subtypes remain unknown. Therefore, it is likely that relying solely on aSyn biomarkers may not be sufficient for differentiating between the different subtypes or monitoring the disease progression for some of PD subtypes. Therefore, we agree with previous recommendations calling on expanding the range of biomarkers to include clinical markers, NDDs biomarkers and biomarkers of biological pathways that have emerged as key drivers of disease development and progression242.
This includes biomarkers linked to neuronal injury; axonal integrity and glia (e.g., Tau and phosphorylated Tau, neurofilament light chain (NFL), glial fibrillary acidic protein, vilip-1, YKL-40, TREM2); synaptic integrity/function (e.g., granins, neurotransmitter metabolites, SCG2, PDYN, synaptobrevin); LRRK2-related variables (total and phospho-LRRK2, phospho-RAB); GBA-related variables (Lamp-1, Lamp-2); amyloid-beta; or proteins related to oxidative stress, inflammation, energy failure and the extracellular matrix, such as DJ-1, neurosin, neprilysin, and complement9,131,243. For example, CSF levels of the axonal degeneration biomarker NFL may help to differentiate MSA, PSP, and CBD from PD, since its levels were found to be increased in the CSF in the rare synucleinopathy groups compared to PD131. Other promising biomarkers linked to synapse neurodegeneration, i.e., VGF, SCG2, and PDYN were found to be reduced in PD and DLB but also correlated with cognitive measurements243. For more information on the assessment of the performance of these neurodegeneration biomarkers and their characterization as biomarkers for different synucleinopathy cohorts, please refer to refs. 9,243. Although some of these biomarkers have been linked to different NDDs243, we predict that the panel of biomarkers encompassing the quantification of different aSyn species with some of the abovementioned neurodegenerative markers could pave the way for more reliable methods for early diagnosis, patient stratification, monitoring disease progression and evaluating target engagement in clinical trials (Fig. 10). These advances would facilitate the development of targeted and potentially personalized therapeutic interventions or disease-modifying therapies for PD and other synucleinopathies.
Acknowledgements
We are grateful to Ahmed Sadek, Deepthy Kavungal, Enzo Morro, Galina Limorenko, Rajasekhar Kolla, Salvatore Novello and Senthil T. Kumar for their critical review and valuable feedback, as well as all members of the Lashuel laboratory for their help during the preparation of the review article.
Author contributions
H.A.L. conceived the manuscript. Both P.M. and H.A.L. contributed equally to conducting the literature review and analysis and wrote the manuscript.
Competing interests
H.A.L. declare no competing non-financial interests but the following competing financial interests: H.A.L. is the founder and chief scientific officer of ND BioSciences, Epalinges, Switzerland, a company that develops diagnostics and treatments for neurodegenerative diseases (NDs) based on platforms that reproduce the complexity and diversity of proteins implicated in NDs and their pathologies. H.A.L. is an Associate Editor at npj Parkinson’s Disease. H.A.L. was not involved in the journal’s review of, or decisions related to, this manuscript. P.M. declare no financial or other competing interests.
Footnotes
Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
These authors contributed equally: Pedro Magalhães, Hilal A. Lashuel.
References
- 1.de Lau LM, Breteler MM. Epidemiology of Parkinson’s disease. Lancet Neurol. 2006;5:525–535. doi: 10.1016/S1474-4422(06)70471-9. [DOI] [PubMed] [Google Scholar]
- 2.Dorsey ER, et al. Projected number of people with Parkinson disease in the most populous nations, 2005 through 2030. Neurology. 2007;68:384–386. doi: 10.1212/01.wnl.0000247740.47667.03. [DOI] [PubMed] [Google Scholar]
- 3.Spillantini MG, et al. Alpha-synuclein in Lewy bodies. Nature. 1997;388:839–840. doi: 10.1038/42166. [DOI] [PubMed] [Google Scholar]
- 4.Greenland, J. C. & Barker, R. A. In Parkinson’s Disease: Pathogenesis and Clinical Aspects (eds T. B. Stoker & J. C. Greenland) (Codon Publications - Brisbane, QLD 4122, Australia, 2018). [PubMed]
- 5.Jankovic J. Parkinson’s disease: clinical features and diagnosis. J. Neurol. Neurosurg. Psychiatry. 2008;79:368–376. doi: 10.1136/jnnp.2007.131045. [DOI] [PubMed] [Google Scholar]
- 6.Hanagasi HA, Tufekcioglu Z, Emre M. Dementia in Parkinson’s disease. J. Neurol. Sci. 2017;374:26–31. doi: 10.1016/j.jns.2017.01.012. [DOI] [PubMed] [Google Scholar]
- 7.Gelb DJ, Oliver E, Gilman S. Diagnostic criteria for Parkinson disease. Arch. Neurol. 1999;56:33–39. doi: 10.1001/archneur.56.1.33. [DOI] [PubMed] [Google Scholar]
- 8.Rizzo G, et al. Accuracy of clinical diagnosis of Parkinson disease: a systematic review and meta-analysis. Neurology. 2016;86:566–576. doi: 10.1212/WNL.0000000000002350. [DOI] [PubMed] [Google Scholar]
- 9.Magdalinou N, Lees AJ, Zetterberg H. Cerebrospinal fluid biomarkers in parkinsonian conditions: an update and future directions. J. Neurol. Neurosurg. Psychiatry. 2014;85:1065–1075. doi: 10.1136/jnnp-2013-307539. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Bayer TA, et al. Alpha-synuclein accumulates in Lewy bodies in Parkinson’s disease and dementia with Lewy bodies but not in Alzheimer’s disease beta-amyloid plaque cores. Neurosci. Lett. 1999;266:213–216. doi: 10.1016/S0304-3940(99)00311-0. [DOI] [PubMed] [Google Scholar]
- 11.Mezey E, et al. Alpha synuclein is present in Lewy bodies in sporadic Parkinson’s disease. Mol. Psychiatry. 1998;3:493–499. doi: 10.1038/sj.mp.4000446. [DOI] [PubMed] [Google Scholar]
- 12.Irizarry MC, et al. Nigral and cortical Lewy bodies and dystrophic nigral neurites in Parkinson’s disease and cortical Lewy body disease contain alpha-synuclein immunoreactivity. J. Neuropathol. Exp. Neurol. 1998;57:334–337. doi: 10.1097/00005072-199804000-00005. [DOI] [PubMed] [Google Scholar]
- 13.Crowther RA, Daniel SE, Goedert M. Characterisation of isolated alpha-synuclein filaments from substantia nigra of Parkinson’s disease brain. Neurosci. Lett. 2000;292:128–130. doi: 10.1016/S0304-3940(00)01440-3. [DOI] [PubMed] [Google Scholar]
- 14.Spillantini MG, et al. Filamentous alpha-synuclein inclusions link multiple system atrophy with Parkinson’s disease and dementia with Lewy bodies. Neurosci. Lett. 1998;251:205–208. doi: 10.1016/S0304-3940(98)00504-7. [DOI] [PubMed] [Google Scholar]
- 15.Fujiwara H, et al. α-Synuclein is phosphorylated in synucleinopathy lesions. Nat. Cell Biol. 2002;4:160–164. doi: 10.1038/ncb748. [DOI] [PubMed] [Google Scholar]
- 16.Anderson JP, et al. Phosphorylation of Ser-129 is the dominant pathological modification of alpha-synuclein in familial and sporadic Lewy body disease. J. Biol. Chem. 2006;281:29739–29752. doi: 10.1074/jbc.M600933200. [DOI] [PubMed] [Google Scholar]
- 17.Schweighauser M, et al. Structures of α-synuclein filaments from multiple system atrophy. Nature. 2020;585:1–6. doi: 10.1038/s41586-020-2317-6. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Muenter MD, et al. Hereditary form of parkinsonism–dementia. Ann. Neurol. 1998;43:768–781. doi: 10.1002/ana.410430612. [DOI] [PubMed] [Google Scholar]
- 19.Konno T, Ross OA, Puschmann A, Dickson DW, Wszolek ZK. Autosomal dominant Parkinson’s disease caused by SNCA duplications. Parkinsonism Relat. Disord. 2016;22:S1–S6. doi: 10.1016/j.parkreldis.2015.09.007. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Ibanez P, et al. Causal relation between alpha-synuclein gene duplication and familial Parkinson’s disease. Lancet. 2004;364:1169–1171. doi: 10.1016/S0140-6736(04)17104-3. [DOI] [PubMed] [Google Scholar]
- 21.Chartier-Harlin MC, et al. Alpha-synuclein locus duplication as a cause of familial Parkinson’s disease. Lancet. 2004;364:1167–1169. doi: 10.1016/S0140-6736(04)17103-1. [DOI] [PubMed] [Google Scholar]
- 22.Singleton AB, et al. alpha-Synuclein locus triplication causes Parkinson’s disease. Science. 2003;302:841. doi: 10.1126/science.1090278. [DOI] [PubMed] [Google Scholar]
- 23.Kruger R, et al. Ala30Pro mutation in the gene encoding alpha-synuclein in Parkinson’s disease. Nat. Genet. 1998;18:106–108. doi: 10.1038/ng0298-106. [DOI] [PubMed] [Google Scholar]
- 24.Polymeropoulos MH, et al. Mapping of a gene for Parkinson’s disease to chromosome 4q21-q23. Science. 1996;274:1197–1199. doi: 10.1126/science.274.5290.1197. [DOI] [PubMed] [Google Scholar]
- 25.Zarranz JJ, et al. The new mutation, E46K, of alpha-synuclein causes Parkinson and Lewy body dementia. Ann. Neurol. 2004;55:164–173. doi: 10.1002/ana.10795. [DOI] [PubMed] [Google Scholar]
- 26.Polymeropoulos MH, et al. Mutation in the alpha-synuclein gene identified in families with Parkinson’s disease. Science. 1997;276:2045–2047. doi: 10.1126/science.276.5321.2045. [DOI] [PubMed] [Google Scholar]
- 27.Kapasi A, et al. A novel SNCA E83Q mutation in a case of dementia with Lewy bodies and atypical frontotemporal lobar degeneration. Neuropathology. 2020;40:620–626. doi: 10.1111/neup.12687. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 28.Appel-Cresswell S, et al. Alpha-synuclein p.H50Q, a novel pathogenic mutation for Parkinson’s disease. Mov. Disord. 2013;28:811–813. doi: 10.1002/mds.25421. [DOI] [PubMed] [Google Scholar]
- 29.Pasanen P, et al. Novel alpha-synuclein mutation A53E associated with atypical multiple system atrophy and Parkinson’s disease-type pathology. Neurobiol. Aging. 2014;35:e2181–e2185. doi: 10.1016/j.neurobiolaging.2014.03.024. [DOI] [PubMed] [Google Scholar]
- 30.Petrucci S, Ginevrino M, Valente EM. Phenotypic spectrum of alpha-synuclein mutations: new insights from patients and cellular models. Parkinsonism Relat. Disord. 2016;22:S16–S20. doi: 10.1016/j.parkreldis.2015.08.015. [DOI] [PubMed] [Google Scholar]
- 31.Kiely AP, et al. alpha-Synucleinopathy associated with G51D SNCA mutation: a link between Parkinson’s disease and multiple system atrophy? Acta Neuropathol. 2013;125:753–769. doi: 10.1007/s00401-013-1096-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Lesage S, et al. G51D alpha-synuclein mutation causes a novel parkinsonian-pyramidal syndrome. Ann. Neurol. 2013;73:459–471. doi: 10.1002/ana.23894. [DOI] [PubMed] [Google Scholar]
- 33.Kumar ST, et al. A NAC domain mutation (E83Q) unlocks the pathogenicity of human alpha-synuclein and recapitulates its pathological diversity. Sci. Adv. 2022;8:eabn0044. doi: 10.1126/sciadv.abn0044. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Shahnawaz M, et al. Development of a biochemical diagnosis of Parkinson disease by detection of alpha-synuclein misfolded aggregates in cerebrospinal fluid. JAMA Neurol. 2017;74:163–172. doi: 10.1001/jamaneurol.2016.4547. [DOI] [PubMed] [Google Scholar]
- 35.Kang UJ, et al. Comparative study of cerebrospinal fluid alpha-synuclein seeding aggregation assays for diagnosis of Parkinson’s disease. Mov. Disord. 2019;34:536–544. doi: 10.1002/mds.27646. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36.Wang, Z. et al. Skin alpha-synuclein aggregation seeding activity as a novel biomarker for Parkinson disease. JAMA Neurol.10.1001/jamaneurol.2020.3311 (2020). [DOI] [PMC free article] [PubMed]
- 37.Volpicelli-Daley LA, Luk KC, Lee VM. Addition of exogenous alpha-synuclein preformed fibrils to primary neuronal cultures to seed recruitment of endogenous alpha-synuclein to Lewy body and Lewy neurite-like aggregates. Nat. Protoc. 2014;9:2135–2146. doi: 10.1038/nprot.2014.143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Sacino AN, et al. Intramuscular injection of alpha-synuclein induces CNS alpha-synuclein pathology and a rapid-onset motor phenotype in transgenic mice. Proc. Natl Acad. Sci. USA. 2014;111:10732–10737. doi: 10.1073/pnas.1321785111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Kim S, et al. Transneuronal propagation of pathologic α-synuclein from the gut to the brain models Parkinson’s disease. Neuron. 2019;103:627–641.e627. doi: 10.1016/j.neuron.2019.05.035. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Oliveira LMA, et al. Alpha-synuclein research: defining strategic moves in the battle against Parkinson’s disease. NPJ Parkinsons Dis. 2021;7:65. doi: 10.1038/s41531-021-00203-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 41.Bras, I. C. & Outeiro, T. F. Alpha-synuclein: mechanisms of release and pathology progression in synucleinopathies. Cells10, 10.3390/cells10020375 (2021). [DOI] [PMC free article] [PubMed]
- 42.Lashuel HA, Overk CR, Oueslati A, Masliah E. The many faces of alpha-synuclein: from structure and toxicity to therapeutic target. Nat. Rev. Neurosci. 2013;14:38–48. doi: 10.1038/nrn3406. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 43.Goedert M, Jakes R, Spillantini MG. The synucleinopathies: twenty years on. J. Parkinson’s Dis. 2017;7:S51–S69. doi: 10.3233/JPD-179005. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Hong Z, et al. DJ-1 and alpha-synuclein in human cerebrospinal fluid as biomarkers of Parkinson’s disease. Brain J. Neurol. 2010;133:713–726. doi: 10.1093/brain/awq008. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Mollenhauer B, et al. alpha-Synuclein and tau concentrations in cerebrospinal fluid of patients presenting with parkinsonism: a cohort study. Lancet Neurol. 2011;10:230–240. doi: 10.1016/S1474-4422(11)70014-X. [DOI] [PubMed] [Google Scholar]
- 46.Mollenhauer B, et al. Total CSF alpha-synuclein is lower in de novo Parkinson patients than in healthy subjects. Neurosci. Lett. 2013;532:44–48. doi: 10.1016/j.neulet.2012.11.004. [DOI] [PubMed] [Google Scholar]
- 47.Tokuda T, et al. Decreased alpha-synuclein in cerebrospinal fluid of aged individuals and subjects with Parkinson’s disease. Biochem. Biophys. Res. Commun. 2006;349:162–166. doi: 10.1016/j.bbrc.2006.08.024. [DOI] [PubMed] [Google Scholar]
- 48.Shi M, et al. Significance and confounders of peripheral DJ-1 and alpha-synuclein in Parkinson’s disease. Neurosci. Lett. 2010;480:78–82. doi: 10.1016/j.neulet.2010.06.009. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Foulds PG, et al. Post mortem cerebrospinal fluid alpha-synuclein levels are raised in multiple system atrophy and distinguish this from the other alpha-synucleinopathies, Parkinson’s disease and Dementia with Lewy bodies. Neurobiol. Dis. 2012;45:188–195. doi: 10.1016/j.nbd.2011.08.003. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 50.Wang Y, et al. Phosphorylated alpha-synuclein in Parkinson’s disease. Sci. Transl. Med. 2012;4:121ra120. doi: 10.1126/scitranslmed.3002566. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Eusebi P, et al. Diagnostic utility of cerebrospinal fluid alpha-synuclein in Parkinson’s disease: a systematic review and meta-analysis. Mov. Disord. 2017;32:1389–1400. doi: 10.1002/mds.27110. [DOI] [PubMed] [Google Scholar]
- 52.Tokuda T, et al. Detection of elevated levels of alpha-synuclein oligomers in CSF from patients with Parkinson disease. Neurology. 2010;75:1766–1772. doi: 10.1212/WNL.0b013e3181fd613b. [DOI] [PubMed] [Google Scholar]
- 53.Cariulo C, et al. Phospho-S129 alpha-synuclein is present in human plasma but not in cerebrospinal fluid as determined by an ultrasensitive immunoassay. Front. Neurosci. 2019;13:889. doi: 10.3389/fnins.2019.00889. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Foulds PG, et al. Phosphorylated alpha-synuclein can be detected in blood plasma and is potentially a useful biomarker for Parkinson’s disease. FASEB J. 2011;25:4127–4137. doi: 10.1096/fj.10-179192. [DOI] [PubMed] [Google Scholar]
- 55.Foulds PG, et al. A longitudinal study on alpha-synuclein in blood plasma as a biomarker for Parkinson’s disease. Sci. Rep. 2013;3:2540. doi: 10.1038/srep02540. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Gorostidi A, et al. Alpha-synuclein levels in blood plasma from LRRK2 mutation carriers. PLoS ONE. 2012;7:e52312. doi: 10.1371/journal.pone.0052312. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Ishii R, et al. Decrease in plasma levels of alpha-synuclein is evident in patients with Parkinson’s disease after elimination of heterophilic antibody interference. PLoS ONE. 2015;10:e0123162. doi: 10.1371/journal.pone.0123162. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Koehler NK, et al. Alpha-synuclein levels in blood plasma decline with healthy aging. PLoS ONE. 2015;10:e0123444. doi: 10.1371/journal.pone.0123444. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Shi M, et al. Plasma exosomal alpha-synuclein is likely CNS-derived and increased in Parkinson’s disease. Acta Neuropathol. 2014;128:639–650. doi: 10.1007/s00401-014-1314-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Barbour R, et al. Red blood cells are the major source of alpha-synuclein in blood. Neuro-degener. Dis. 2008;5:55–59. doi: 10.1159/000112832. [DOI] [PubMed] [Google Scholar]
- 61.Bryk AH, Wisniewski JR. Quantitative analysis of human red blood cell proteome. J. Proteome Res. 2017;16:2752–2761. doi: 10.1021/acs.jproteome.7b00025. [DOI] [PubMed] [Google Scholar]
- 62.Klatt S, et al. Optimizing red blood cell protein extraction for biomarker quantitation with mass spectrometry. Anal. Bioanal. Chem. 2020;412:1879–1892. doi: 10.1007/s00216-020-02439-5. [DOI] [PubMed] [Google Scholar]
- 63.Abd-Elhadi S, et al. Total and proteinase K-resistant alpha-synuclein levels in erythrocytes, determined by their ability to bind phospholipids, associate with Parkinson’s disease. Sci. Rep. 2015;5:11120. doi: 10.1038/srep11120. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 64.Devic I, et al. Salivary alpha-synuclein and DJ-1: potential biomarkers for Parkinson’s disease. Brain J. Neurol. 2011;134:e178. doi: 10.1093/brain/awr015. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 65.Kang W, et al. Salivary total alpha-synuclein, oligomeric alpha-synuclein and SNCA variants in Parkinson’s disease patients. Sci. Rep. 2016;6:28143. doi: 10.1038/srep28143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Vivacqua G, et al. Salivary alpha-synuclein in the diagnosis of Parkinson’s disease and progressive supranuclear palsy. Parkinsonism Relat. Disord. 2019;63:143–148. doi: 10.1016/j.parkreldis.2019.02.014. [DOI] [PubMed] [Google Scholar]
- 67.Shaheen H, Sobhy S, El Mously S, Abuomira M, Mansour M. Salivary alpha-synuclein (total and oligomeric form): potential biomarkers in Parkinson’s disease. Egypt. J. Neurol. Psychiatry Neurosurg. 2020;56:22. doi: 10.1186/s41983-020-0159-7. [DOI] [Google Scholar]
- 68.Hamm-Alvarez SF, et al. Oligomeric alpha-synuclein is increased in basal tears of Parkinson’s patients. Biomark. Med. 2019;13:941–952. doi: 10.2217/bmm-2019-0167. [DOI] [PubMed] [Google Scholar]
- 69.Maass F, et al. Increased alpha-synuclein tear fluid levels in patients with Parkinson’s disease. Sci. Rep. 2020;10:8507. doi: 10.1038/s41598-020-65503-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Tanei, Z. I. et al. Lewy pathology of the esophagus correlates with the progression of Lewy body disease: a Japanese cohort study of autopsy cases. Acta Neuropathol.10.1007/s00401-020-02233-8 (2020). [DOI] [PMC free article] [PubMed]
- 71.Chung SJ, et al. Alpha-synuclein in gastric and colonic mucosa in Parkinson’s disease: Limited role as a biomarker. Mov. Disord. 2016;31:241–249. doi: 10.1002/mds.26473. [DOI] [PubMed] [Google Scholar]
- 72.Fenyi A, et al. Detection of alpha-synuclein aggregates in gastrointestinal biopsies by protein misfolding cyclic amplification. Neurobiol. Dis. 2019;129:38–43. doi: 10.1016/j.nbd.2019.05.002. [DOI] [PubMed] [Google Scholar]
- 73.Fayyad M, et al. Parkinson’s disease biomarkers based on alpha-synuclein. J. Neurochem. 2019;150:626–636. doi: 10.1111/jnc.14809. [DOI] [PubMed] [Google Scholar]
- 74.Ganguly U, et al. Alpha-synuclein as a biomarker of Parkinson’s disease: good, but not good enough. Front. Aging Neurosci. 2021;13:702639. doi: 10.3389/fnagi.2021.702639. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 75.Parnetti L, et al. CSF and blood biomarkers for Parkinson’s disease. Lancet Neurol. 2019;18:573–586. doi: 10.1016/S1474-4422(19)30024-9. [DOI] [PubMed] [Google Scholar]
- 76.Mollenhauer B, et al. Antibody-based methods for the measurement of alpha-synuclein concentration in human cerebrospinal fluid—method comparison and round robin study. J. Neurochem. 2019;149:126–138. doi: 10.1111/jnc.14569. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Stewart T, et al. Phosphorylated alpha-synuclein in Parkinson’s disease: correlation depends on disease severity. Acta Neuropathol. Commun. 2015;3:7. doi: 10.1186/s40478-015-0185-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Majbour NK, et al. Longitudinal changes in CSF alpha-synuclein species reflect Parkinson’s disease progression. Mov. Disord. 2016;31:1535–1542. doi: 10.1002/mds.26754. [DOI] [PubMed] [Google Scholar]
- 79.Majbour NK, et al. Oligomeric and phosphorylated alpha-synuclein as potential CSF biomarkers for Parkinson’s disease. Mol. Neurodegener. 2016;11:7. doi: 10.1186/s13024-016-0072-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Majbour NK, et al. CSF total and oligomeric alpha-Synuclein along with TNF-alpha as risk biomarkers for Parkinson’s disease: a study in LRRK2 mutation carriers. Transl. Neurodegeneration. 2020;9:15. doi: 10.1186/s40035-020-00192-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Hansson O, et al. Levels of cerebrospinal fluid alpha-synuclein oligomers are increased in Parkinson’s disease with dementia and dementia with Lewy bodies compared to Alzheimer’s disease. Alzheimer’s Res. Ther. 2014;6:25. doi: 10.1186/alzrt255. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 82.Park MJ, Cheon SM, Bae HR, Kim SH, Kim JW. Elevated levels of alpha-synuclein oligomer in the cerebrospinal fluid of drug-naive patients with Parkinson’s disease. J. Clin. Neurol. 2011;7:215–222. doi: 10.3988/jcn.2011.7.4.215. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 83.Manne S, et al. Blinded RT-QuIC analysis of alpha-synuclein biomarker in skin tissue from Parkinson’s disease patients. Mov. Disord. 2020;35:2230–2239. doi: 10.1002/mds.28242. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Rossi M, et al. Ultrasensitive RT-QuIC assay with high sensitivity and specificity for Lewy body-associated synucleinopathies. Acta Neuropathol. 2020;140:49–62. doi: 10.1007/s00401-020-02160-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Fairfoul G, et al. Alpha-synuclein RT-QuIC in the CSF of patients with alpha-synucleinopathies. Ann. Clin. Transl. Neurol. 2016;3:812–818. doi: 10.1002/acn3.338. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 86.Poggiolini, I. et al. Diagnostic value of cerebrospinal fluid alpha-synuclein seed quantification in synucleinopathies. Brain J. Neurol.10.1093/brain/awab431 (2021). [DOI] [PMC free article] [PubMed]
- 87.Russo MJ, et al. High diagnostic performance of independent alpha-synuclein seed amplification assays for detection of early Parkinson’s disease. Acta Neuropathol. Commun. 2021;9:179. doi: 10.1186/s40478-021-01282-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 88.Shahnawaz M, et al. Discriminating alpha-synuclein strains in Parkinson’s disease and multiple system atrophy. Nature. 2020;578:273–277. doi: 10.1038/s41586-020-1984-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 89.Iranzo A, et al. Detection of alpha-synuclein in CSF by RT-QuIC in patients with isolated rapid-eye-movement sleep behaviour disorder: a longitudinal observational study. Lancet Neurol. 2021;20:203–212. doi: 10.1016/S1474-4422(20)30449-X. [DOI] [PubMed] [Google Scholar]
- 90.Zhang J, Li X, Li JD. The roles of post-translational modifications on alpha-synuclein in the pathogenesis of Parkinson’s diseases. Front. Neurosci. 2019;13:381. doi: 10.3389/fnins.2019.00381. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 91.Dujardin S, et al. Tau molecular diversity contributes to clinical heterogeneity in Alzheimer’s disease. Nat. Med. 2020;26:1256–1263. doi: 10.1038/s41591-020-0938-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Fujiwara H, et al. alpha-Synuclein is phosphorylated in synucleinopathy lesions. Nat. Cell Biol. 2002;4:160–164. doi: 10.1038/ncb748. [DOI] [PubMed] [Google Scholar]
- 93.Lashuel HA. Rethinking protein aggregation and drug discovery in neurodegenerative diseases: why we need to embrace complexity? Curr. Opin. Chem. Biol. 2021;64:67–75. doi: 10.1016/j.cbpa.2021.05.006. [DOI] [PubMed] [Google Scholar]
- 94.Limorenko G, Lashuel HA. To target Tau pathologies, we must embrace and reconstruct their complexities. Neurobiol. Dis. 2021;161:105536. doi: 10.1016/j.nbd.2021.105536. [DOI] [PubMed] [Google Scholar]
- 95.Limorenko, G. & Lashuel, H. A. Revisiting the grammar of Tau aggregation and pathology formation: how new insights from brain pathology are shaping how we study and target Tauopathies. Chem. Soc. Rev.10.1039/d1cs00127b (2021). [DOI] [PubMed]
- 96.Bhattacharjee P, et al. Mass spectrometric analysis of lewy body-enriched α-synuclein in Parkinson’s disease. J. Proteome Res. 2019;18:2109–2120. doi: 10.1021/acs.jproteome.8b00982. [DOI] [PubMed] [Google Scholar]
- 97.Kellie JF, et al. Quantitative measurement of intact alpha-synuclein proteoforms from post-mortem control and Parkinson’s disease brain tissue by intact protein mass spectrometry. Sci. Rep. 2014;4:5797. doi: 10.1038/srep05797. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 98.Kiely AP, et al. Distinct clinical and neuropathological features of G51D SNCA mutation cases compared with SNCA duplication and H50Q mutation. Mol. Neurodegener. 2015;10:41. doi: 10.1186/s13024-015-0038-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 99.Ohrfelt A, et al. Identification of novel α-synuclein isoforms in human brain tissue by using an online nanoLC-ESI-FTICR-MS method. Neurochem. Res. 2011;36:2029–2042. doi: 10.1007/s11064-011-0527-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Doppler K, et al. Cutaneous neuropathy in Parkinson’s disease: a window into brain pathology. Acta Neuropathol. 2014;128:99–109. doi: 10.1007/s00401-014-1284-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Beach TG, et al. Multi-organ distribution of phosphorylated alpha-synuclein histopathology in subjects with Lewy body disorders. Acta Neuropathol. 2010;119:689–702. doi: 10.1007/s00401-010-0664-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Pouclet H, et al. A comparison between colonic submucosa and mucosa to detect Lewy pathology in Parkinson’s disease. Neurogastroenterol. Motil. 2012;24:e202–e205. doi: 10.1111/j.1365-2982.2012.01887.x. [DOI] [PubMed] [Google Scholar]
- 103.Cersosimo MG. Gastrointestinal biopsies for the diagnosis of alpha-synuclein pathology in Parkinson’s disease. Gastroenterol. Res. Pr. 2015;2015:476041. doi: 10.1155/2015/476041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Campbell BC, et al. The solubility of alpha-synuclein in multiple system atrophy differs from that of dementia with Lewy bodies and Parkinson’s disease. J. Neurochem. 2001;76:87–96. doi: 10.1046/j.1471-4159.2001.00021.x. [DOI] [PubMed] [Google Scholar]
- 105.Li W, et al. Aggregation promoting C-terminal truncation of alpha-synuclein is a normal cellular process and is enhanced by the familial Parkinson’s disease-linked mutations. Proc. Natl Acad. Sci. USA. 2005;102:2162–2167. doi: 10.1073/pnas.0406976102. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Muntane G, Ferrer I, Martinez-Vicente M. alpha-synuclein phosphorylation and truncation are normal events in the adult human brain. Neuroscience. 2012;200:106–119. doi: 10.1016/j.neuroscience.2011.10.042. [DOI] [PubMed] [Google Scholar]
- 107.Baba M, et al. Aggregation of alpha-synuclein in Lewy bodies of sporadic Parkinson’s disease and dementia with Lewy bodies. Am. J. Pathol. 1998;152:879–884. [PMC free article] [PubMed] [Google Scholar]
- 108.Culvenor JG, et al. Non-Abeta component of Alzheimer’s disease amyloid (NAC) revisited. NAC and alpha-synuclein are not associated with Abeta amyloid. Am. J. Pathol. 1999;155:1173–1181. doi: 10.1016/S0002-9440(10)65220-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 109.Killinger, B. A. et al. The vermiform appendix impacts the risk of developing Parkinson’s disease. Sci. Transl. Med.10, 10.1126/scitranslmed.aar5280 (2018). [DOI] [PMC free article] [PubMed]
- 110.Lewis KA, et al. Abnormal neurites containing C-terminally truncated alpha-synuclein are present in Alzheimer’s disease without conventional Lewy body pathology. Am. J. Pathol. 2010;177:3037–3050. doi: 10.2353/ajpath.2010.100552. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Liu CW, et al. A precipitating role for truncated alpha-synuclein and the proteasome in alpha-synuclein aggregation: implications for pathogenesis of Parkinson disease. J. Biol. Chem. 2005;280:22670–22678. doi: 10.1074/jbc.M501508200. [DOI] [PubMed] [Google Scholar]
- 112.Moors, T. E. et al. The orchestration of subcellular alpha-synuclein pathology in the Parkinson’s disease brain revealed by STED microscopy. bioRxiv10.1101/470476 (2019).
- 113.Tong J, et al. Brain alpha-synuclein accumulation in multiple system atrophy, Parkinson’s disease and progressive supranuclear palsy: a comparative investigation. Brain J. Neurol. 2010;133:172–188. doi: 10.1093/brain/awp282. [DOI] [PubMed] [Google Scholar]
- 114.Zhang Z, et al. Asparagine endopeptidase cleaves alpha-synuclein and mediates pathologic activities in Parkinson’s disease. Nat. Struct. Mol. Biol. 2017;24:632–642. doi: 10.1038/nsmb.3433. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Dufty BM, et al. Calpain-cleavage of alpha-synuclein: connecting proteolytic processing to disease-linked aggregation. Am. J. Pathol. 2007;170:1725–1738. doi: 10.2353/ajpath.2007.061232. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Prasad K, Beach TG, Hedreen J, Richfield EK. Critical role of truncated alpha-synuclein and aggregates in Parkinson’s disease and incidental Lewy body disease. Brain Pathol. 2012;22:811–825. doi: 10.1111/j.1750-3639.2012.00597.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Waxman EA, Duda JE, Giasson BI. Characterization of antibodies that selectively detect alpha-synuclein in pathological inclusions. Acta Neuropathol. 2008;116:37–46. doi: 10.1007/s00401-008-0375-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Dickson DW, et al. Widespread alterations of alpha-synuclein in multiple system atrophy. Am. J. Pathol. 1999;155:1241–1251. doi: 10.1016/S0002-9440(10)65226-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Mollenhauer B, et al. Direct quantification of CSF alpha-synuclein by ELISA and first cross-sectional study in patients with neurodegeneration. Exp. Neurol. 2008;213:315–325. doi: 10.1016/j.expneurol.2008.06.004. [DOI] [PubMed] [Google Scholar]
- 120.Reesink FE, et al. CSF α-synuclein does not discriminate dementia with Lewy bodies from Alzheimer’s disease. J. Alzheimer’s Dis. 2010;22:87–95. doi: 10.3233/JAD-2010-100186. [DOI] [PubMed] [Google Scholar]
- 121.Parnetti L, et al. Cerebrospinal fluid Tau/α-synuclein ratio in Parkinson’s disease and degenerative dementias. Mov. Disord. 2011;26:1428–1435. doi: 10.1002/mds.23670. [DOI] [PubMed] [Google Scholar]
- 122.Mollenhauer B, et al. A user’s guide for alpha-synuclein biomarker studies in biological fluids: perianalytical considerations. Mov. Disord. 2017;32:1117–1130. doi: 10.1002/mds.27090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Gao L, et al. Cerebrospinal fluid alpha-synuclein as a biomarker for Parkinson’s disease diagnosis: a systematic review and meta-analysis. Int. J. Neurosci. 2015;125:645–654. doi: 10.3109/00207454.2014.961454. [DOI] [PubMed] [Google Scholar]
- 124.Sako W, Murakami N, Izumi Y, Kaji R. Reduced alpha-synuclein in cerebrospinal fluid in synucleinopathies: evidence from a meta-analysis. Mov. Disord. 2014;29:1599–1605. doi: 10.1002/mds.26036. [DOI] [PubMed] [Google Scholar]
- 125.Zhou B, Wen M, Yu WF, Zhang CL, Jiao L. The diagnostic and differential diagnosis utility of cerebrospinal fluid alpha-synuclein levels in Parkinson’s disease: a meta-analysis. Parkinson’s Dis. 2015;2015:567386. doi: 10.1155/2015/567386. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Kang JH, et al. Association of cerebrospinal fluid beta-amyloid 1-42, T-tau, P-tau181, and alpha-synuclein levels with clinical features of drug-naive patients with early Parkinson disease. JAMA Neurol. 2013;70:1277–1287. doi: 10.1001/jamaneurol.2013.3861. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Oueslati A. Implication of Alpha-Synuclein Phosphorylation at S129 in Synucleinopathies: What Have We Learned in the Last Decade? J. Parkinson’s Dis. 2016;6:39–51. doi: 10.3233/JPD-160779. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 128.van Steenoven I, et al. alpha-Synuclein species as potential cerebrospinal fluid biomarkers for dementia with lewy bodies. Mov. Disord. 2018;33:1724–1733. doi: 10.1002/mds.111. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 129.Constantinides, V. C. et al. Cerebrospinal fluid alpha-synuclein species in cognitive and movements disorders. Brain Sci.11, 10.3390/brainsci11010119 (2021). [DOI] [PMC free article] [PubMed]
- 130.Oosterveld LP, et al. CSF or serum neurofilament light added to alpha-Synuclein panel discriminates Parkinson’s from controls. Mov. Disord. 2020;35:288–295. doi: 10.1002/mds.27897. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Schulz I, et al. Systematic assessment of 10 biomarker candidates focusing on alpha-synuclein-related disorders. Mov. Disord. 2021;36:2874–2887. doi: 10.1002/mds.28738. [DOI] [PubMed] [Google Scholar]
- 132.Majbour NK, et al. Cerebrospinal alpha-synuclein oligomers reflect disease motor severity in DeNoPa longitudinal cohort. Mov. Disord. 2021;36:2048–2056. doi: 10.1002/mds.28611. [DOI] [PubMed] [Google Scholar]
- 133.Parnetti L, et al. Cerebrospinal fluid lysosomal enzymes and alpha-synuclein in Parkinson’s disease. Mov. Disord. 2014;29:1019–1027. doi: 10.1002/mds.25772. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 134.Parnetti L, et al. Differential role of CSF alpha-synuclein species, tau, and Abeta42 in Parkinson’s Disease. Front. Aging Neurosci. 2014;6:53. doi: 10.3389/fnagi.2014.00053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Mahul-Mellier AL, et al. c-Abl phosphorylates alpha-synuclein and regulates its degradation: implication for alpha-synuclein clearance and contribution to the pathogenesis of Parkinson’s disease. Hum. Mol. Genet. 2014;23:2858–2879. doi: 10.1093/hmg/ddt674. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Imam SZ, et al. Novel regulation of parkin function through c-Abl-mediated tyrosine phosphorylation: implications for Parkinson’s disease. J. Neurosci. 2011;31:157–163. doi: 10.1523/JNEUROSCI.1833-10.2011. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Lee S, et al. The c-Abl inhibitor, Radotinib HCl, is neuroprotective in a preclinical Parkinson’s disease mouse model. Hum. Mol. Genet. 2018;27:2344–2356. doi: 10.1093/hmg/ddy143. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Hebron ML, Lonskaya I, Moussa CE. Nilotinib reverses loss of dopamine neurons and improves motor behavior via autophagic degradation of alpha-synuclein in Parkinson’s disease models. Hum. Mol. Genet. 2013;22:3315–3328. doi: 10.1093/hmg/ddt192. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Imam SZ, et al. Neuroprotective efficacy of a new brain-penetrating C-Abl inhibitor in a murine Parkinson’s disease model. PLoS ONE. 2013;8:e65129. doi: 10.1371/journal.pone.0065129. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 140.Lindholm D, et al. c-Abl inhibitors enable insights into the pathophysiology and neuroprotection in Parkinson’s disease. Front. Aging Neurosci. 2016;8:254. doi: 10.3389/fnagi.2016.00254. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.Pagan F, et al. Nilotinib effects in Parkinson’s disease and dementia with lewy bodies. J. Parkinson’s Dis. 2016;6:503–517. doi: 10.3233/JPD-160867. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Na CH, et al. Development of a novel method for the quantification of tyrosine 39 phosphorylated alpha- and beta-synuclein in human cerebrospinal fluid. Clin. Proteom. 2020;17:13. doi: 10.1186/s12014-020-09277-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Lin, C. H. et al. Plasma pS129-alpha-synuclein is a surrogate biofluid marker of motor severity and progression in Parkinson’s disease. J. Clin. Med.8, 10.3390/jcm8101601 (2019). [DOI] [PMC free article] [PubMed]
- 144.Chen, W. R. et al. Phosphorylated alpha-synuclein in diluted human serum a biomarker for Parkinson’s disease. Biomed. J. 10.1016/j.bj.2021.12.010 (2021). [DOI] [PMC free article] [PubMed]
- 145.Fernandez E, Garcia-Moreno JM, Martin de Pablos A, Chacon J. May the evaluation of nitrosative stress through selective increase of 3-nitrotyrosine proteins other than nitroalbumin and dominant tyrosine-125/136 nitrosylation of serum alpha-synuclein serve for diagnosis of sporadic Parkinson’s disease? Antioxid. Redox Signal. 2013;19:912–918. doi: 10.1089/ars.2013.5250. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Vicente Miranda H, et al. Posttranslational modifications of blood-derived alpha-synuclein as biochemical markers for Parkinson’s disease. Sci. Rep. 2017;7:13713. doi: 10.1038/s41598-017-14175-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 147.Bartels T, Choi JG, Selkoe DJ. alpha-Synuclein occurs physiologically as a helically folded tetramer that resists aggregation. Nature. 2011;477:107–110. doi: 10.1038/nature10324. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 148.Fauvet B, et al. alpha-Synuclein in central nervous system and from erythrocytes, mammalian cells, and Escherichia coli exists predominantly as disordered monomer. J. Biol. Chem. 2012;287:15345–15364. doi: 10.1074/jbc.M111.318949. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 149.Tian C, et al. Erythrocytic alpha-Synuclein as a potential biomarker for Parkinson’s disease. Transl. Neurodegener. 2019;8:15. doi: 10.1186/s40035-019-0155-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 150.Abd Elhadi S, et al. alpha-Synuclein in blood cells differentiates Parkinson’s disease from healthy controls. Ann. Clin. Transl. Neurol. 2019;6:2426–2436. doi: 10.1002/acn3.50944. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 151.Li XY, et al. Phosphorylated alpha-synuclein in red blood cells as a potential diagnostic biomarker for multiple system atrophy: a pilot study. Parkinson’s Dis. 2020;2020:8740419. doi: 10.1155/2020/8740419. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 152.Geyer PE, Holdt LM, Teupser D, Mann M. Revisiting biomarker discovery by plasma proteomics. Mol. Syst. Biol. 2017;13:942. doi: 10.15252/msb.20156297. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 153.El-Agnaf OM, et al. Detection of oligomeric forms of alpha-synuclein protein in human plasma as a potential biomarker for Parkinson’s disease. FASEB J. 2006;20:419–425. doi: 10.1096/fj.03-1449com. [DOI] [PubMed] [Google Scholar]
- 154.Duran R, et al. Plasma alpha-synuclein in patients with Parkinson’s disease with and without treatment. Mov. Disord. 2010;25:489–493. doi: 10.1002/mds.22928. [DOI] [PubMed] [Google Scholar]
- 155.Yanamandra K, et al. alpha-synuclein reactive antibodies as diagnostic biomarkers in blood sera of Parkinson’s disease patients. PLoS ONE. 2011;6:e18513. doi: 10.1371/journal.pone.0018513. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 156.Papagiannakis N, et al. Alpha-synuclein dimerization in erythrocytes of patients with genetic and non-genetic forms of Parkinson’s Disease. Neurosci. Lett. 2018;672:145–149. doi: 10.1016/j.neulet.2017.11.012. [DOI] [PubMed] [Google Scholar]
- 157.Wang X, Yu S, Li F, Feng T. Detection of alpha-synuclein oligomers in red blood cells as a potential biomarker of Parkinson’s disease. Neurosci. Lett. 2015;599:115–119. doi: 10.1016/j.neulet.2015.05.030. [DOI] [PubMed] [Google Scholar]
- 158.Vivacqua G, et al. Abnormal salivary total and oligomeric alpha-synuclein in Parkinson’s disease. PLoS ONE. 2016;11:e0151156. doi: 10.1371/journal.pone.0151156. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 159.Murakami H, et al. Correlated levels of cerebrospinal fluid pathogenic proteins in drug-naive Parkinson’s disease. BMC Neurol. 2019;19:113. doi: 10.1186/s12883-019-1346-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 160.Daniele S, et al. alpha-Synuclein heterocomplexes with beta-amyloid are increased in red blood cells of Parkinson’s disease patients and correlate with disease severity. Front. Mol. Neurosci. 2018;11:53. doi: 10.3389/fnmol.2018.00053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 161.Luth ES, Bartels T, Dettmer U, Kim NC, Selkoe DJ. Purification of alpha-synuclein from human brain reveals an instability of endogenous multimers as the protein approaches purity. Biochemistry. 2015;54:279–292. doi: 10.1021/bi501188a. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 162.Kumar ST, et al. How specific are the conformation-specific alpha-synuclein antibodies? Characterization and validation of 16 alpha-synuclein conformation-specific antibodies using well-characterized preparations of alpha-synuclein monomers, fibrils and oligomers with distinct structures and morphology. Neurobiol. Dis. 2020;146:105086. doi: 10.1016/j.nbd.2020.105086. [DOI] [PubMed] [Google Scholar]
- 163.Koga S, Sekiya H, Kondru N, Ross OA, Dickson DW. Neuropathology and molecular diagnosis of Synucleinopathies. Mol. Neurodegener. 2021;16:83. doi: 10.1186/s13024-021-00501-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 164.De Luca CMG, et al. Efficient RT-QuIC seeding activity for alpha-synuclein in olfactory mucosa samples of patients with Parkinson’s disease and multiple system atrophy. Transl. Neurodegener. 2019;8:24. doi: 10.1186/s40035-019-0164-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 165.Dieriks BV, et al. α-synuclein transfer through tunneling nanotubes occurs in SH-SY5Y cells and primary brain pericytes from Parkinson’s disease patients. Sci. Rep. 2017;7:42984. doi: 10.1038/srep42984. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 166.Gustafsson G, et al. Secretion and uptake of α-Synuclein via extracellular vesicles in cultured cells. Cell. Mol. Neurobiol. 2018;38:1539–1550. doi: 10.1007/s10571-018-0622-5. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 167.Yuan Q, Li XD, Zhang SM, Wang HW, Wang YL. Extracellular vesicles in neurodegenerative diseases: Insights and new perspectives. Genes Dis. 2021;8:124–132. doi: 10.1016/j.gendis.2019.12.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 168.Pinnell JR, Cui M, Tieu K. Exosomes in Parkinson disease. J. Neurochem. 2021;157:413–428. doi: 10.1111/jnc.15288. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 169.Upadhya R, Shetty AK. Extracellular vesicles for the diagnosis and treatment of Parkinson’s disease. Aging Dis. 2021;12:1438–1450. doi: 10.14336/AD.2021.0516. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 170.Mustapic M, et al. Plasma extracellular vesicles enriched for neuronal origin: a potential window into brain pathologic processes. Front. Neurosci. 2017;11:278. doi: 10.3389/fnins.2017.00278. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 171.Tsunemi T, Ishiguro Y, Yoroisaka A, Hattori N. Analysis of alpha-synuclein in exosomes. Methods Mol. Biol. 2021;2322:41–45. doi: 10.1007/978-1-0716-1495-2_4. [DOI] [PubMed] [Google Scholar]
- 172.Guo M, et al. Microglial exosomes facilitate alpha-synuclein transmission in Parkinson’s disease. Brain J. Neurol. 2020;143:1476–1497. doi: 10.1093/brain/awaa090. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 173.Grey M, et al. Acceleration of alpha-synuclein aggregation by exosomes. J. Biol. Chem. 2015;290:2969–2982. doi: 10.1074/jbc.M114.585703. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 174.Stuendl A, et al. Induction of alpha-synuclein aggregate formation by CSF exosomes from patients with Parkinson’s disease and dementia with Lewy bodies. Brain J. Neurol. 2016;139:481–494. doi: 10.1093/brain/awv346. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 175.Stuendl A, et al. alpha-Synuclein in plasma-derived extracellular vesicles is a potential biomarker of Parkinson’s disease. Mov. Disord. 2021;36:2508–2518. doi: 10.1002/mds.28639. [DOI] [PubMed] [Google Scholar]
- 176.Zhao ZH, et al. Increased DJ-1 and alpha-Synuclein in plasma neural-derived exosomes as potential markers for Parkinson’s disease. Front. Aging Neurosci. 2018;10:438. doi: 10.3389/fnagi.2018.00438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 177.Niu M, et al. A longitudinal study on alpha-synuclein in plasma neuronal exosomes as a biomarker for Parkinson’s disease development and progression. Eur. J. Neurol. 2020;27:967–974. doi: 10.1111/ene.14208. [DOI] [PubMed] [Google Scholar]
- 178.Jiang C, et al. Serum neuronal exosomes predict and differentiate Parkinson’s disease from atypical parkinsonism. J. Neurol. Neurosurg. Psychiatry. 2020;91:720–729. doi: 10.1136/jnnp-2019-322588. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 179.Fu Y, Jiang C, Tofaris GK, Davis JJ. Facile impedimetric analysis of neuronal exosome markers in Parkinson’s disease diagnostics. Anal. Chem. 2020;92:13647–13651. doi: 10.1021/acs.analchem.0c03092. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 180.Dutta S, et al. alpha-Synuclein in blood exosomes immunoprecipitated using neuronal and oligodendroglial markers distinguishes Parkinson’s disease from multiple system atrophy. Acta Neuropathol. 2021;142:495–511. doi: 10.1007/s00401-021-02324-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 181.Si X, et al. Central nervous system-derived exosomal alpha-synuclein in serum may be a biomarker in Parkinson’s disease. Neuroscience. 2019;413:308–316. doi: 10.1016/j.neuroscience.2019.05.015. [DOI] [PubMed] [Google Scholar]
- 182.Cao Z, et al. alpha-Synuclein in salivary extracellular vesicles as a potential biomarker of Parkinson’s disease. Neurosci. Lett. 2019;696:114–120. doi: 10.1016/j.neulet.2018.12.030. [DOI] [PubMed] [Google Scholar]
- 183.Agliardi C, et al. Oligomeric alpha-Syn and SNARE complex proteins in peripheral extracellular vesicles of neural origin are biomarkers for Parkinson’s disease. Neurobiol. Dis. 2021;148:105185. doi: 10.1016/j.nbd.2020.105185. [DOI] [PubMed] [Google Scholar]
- 184.Ohmichi T, et al. Quantification of brain-derived extracellular vesicles in plasma as a biomarker to diagnose Parkinson’s and related diseases. Parkinsonism Relat. Disord. 2019;61:82–87. doi: 10.1016/j.parkreldis.2018.11.021. [DOI] [PubMed] [Google Scholar]
- 185.Zheng H, et al. Investigation of alpha-Synuclein species in plasma exosomes and the oligomeric and phosphorylated alpha-Synuclein as potential peripheral biomarker of Parkinson’s disease. Neuroscience. 2021;469:79–90. doi: 10.1016/j.neuroscience.2021.06.033. [DOI] [PubMed] [Google Scholar]
- 186.Ho DH, Yi S, Seo H, Son I, Seol W. Increased DJ-1 in urine exosome of Korean males with Parkinson’s disease. Biomed. Res. Int. 2014;2014:704678. doi: 10.1155/2014/704678. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 187.Rani K, et al. Neuronal exosomes in saliva of Parkinson’s disease patients: a pilot study. Parkinsonism Relat. Disord. 2019;67:21–23. doi: 10.1016/j.parkreldis.2019.09.008. [DOI] [PubMed] [Google Scholar]
- 188.Ouerdane, Y. et al. Exosomes in Parkinson: revisiting their pathologic role and potential applications. Pharmaceuticals15, 10.3390/ph15010076 (2022). [DOI] [PMC free article] [PubMed]
- 189.Lempriere S. Exosomal alpha-synuclein as a biomarker for Parkinson disease. Nat. Rev. Neurol. 2020;16:242–243. doi: 10.1038/s41582-020-0349-z. [DOI] [PubMed] [Google Scholar]
- 190.Leggio L, et al. Extracellular vesicles as novel diagnostic and prognostic biomarkers for Parkinson’s disease. Aging Dis. 2021;12:1494–1515. doi: 10.14336/AD.2021.0527. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 191.Fernandez, E., Garcia-Moreno, J. M., de Pablos, A. M. & Chacon, J. Serum from Parkinson’s disease patients presents excess of protein halogenation and nitrosylation, with anomalous nitrosylation of serum α-synuclein as potentially etiological factor Mol. Neurodegener. 10.1186/1750-1326-8-S1-P18 (2013).
- 192.Gilbert RM, Standaert DG. Bridging the gaps: more inclusive research needed to fully understand Parkinson’s disease. Mov. Disord. 2020;35:231–234. doi: 10.1002/mds.27906. [DOI] [PubMed] [Google Scholar]
- 193.Bailey M, Anderson S, Hall DA. Parkinson’s disease in African Americans: a review of the current literature. J. Parkinson’s Dis. 2020;10:831–841. doi: 10.3233/JPD-191823. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 194.Vaswani PA, Tropea TF, Dahodwala N. Overcoming barriers to Parkinson disease trial participation: increasing diversity and novel designs for recruitment and retention. Neurotherapeutics. 2020;17:1724–1735. doi: 10.1007/s13311-020-00960-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 195.Abdi IY, et al. Preanalytical stability of CSF total and oligomeric alpha-synuclein. Front. Aging Neurosci. 2021;13:638718. doi: 10.3389/fnagi.2021.638718. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 196.Marques TM, et al. Identification of cerebrospinal fluid biomarkers for parkinsonism using a proteomics approach. NPJ Parkinsons Dis. 2021;7:107. doi: 10.1038/s41531-021-00249-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 197.Burai R, Ait-Bouziad N, Chiki A, Lashuel HA. Elucidating the role of site-specific nitration of alpha-Synuclein in the pathogenesis of Parkinson’s disease via protein semisynthesis and mutagenesis. J. Am. Chem. Soc. 2015;137:5041–5052. doi: 10.1021/ja5131726. [DOI] [PubMed] [Google Scholar]
- 198.Dikiy I, et al. Semisynthetic and in vitro phosphorylation of alpha-synuclein at Y39 promotes functional partly helical membrane-bound states resembling those induced by PD mutations. ACS Chem. Biol. 2016;11:2428–2437. doi: 10.1021/acschembio.6b00539. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 199.Fauvet B, Lashuel HA. Semisynthesis and enzymatic preparation of post-translationally modified alpha-synuclein. Methods Mol. Biol. 2016;1345:3–20. doi: 10.1007/978-1-4939-2978-8_1. [DOI] [PubMed] [Google Scholar]
- 200.Haj-Yahya M, et al. Synthetic polyubiquitinated alpha-Synuclein reveals important insights into the roles of the ubiquitin chain in regulating its pathophysiology. Proc. Natl Acad. Sci. USA. 2013;110:17726–17731. doi: 10.1073/pnas.1315654110. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 201.Hejjaoui M, et al. Elucidating the role of C-terminal post-translational modifications using protein semisynthesis strategies: alpha-synuclein phosphorylation at tyrosine 125. J. Am. Chem. Soc. 2012;134:5196–5210. doi: 10.1021/ja210866j. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 202.Hejjaoui M, Haj-Yahya M, Kumar KS, Brik A, Lashuel HA. Towards elucidation of the role of ubiquitination in the pathogenesis of Parkinson’s disease with semisynthetic ubiquitinated alpha-synuclein. Angew. Chem. 2011;50:405–409. doi: 10.1002/anie.201005546. [DOI] [PubMed] [Google Scholar]
- 203.Shabek N, et al. The size of the proteasomal substrate determines whether its degradation will be mediated by mono- or polyubiquitylation. Mol. Cell. 2012;48:87–97. doi: 10.1016/j.molcel.2012.07.011. [DOI] [PubMed] [Google Scholar]
- 204.Paleologou KE, et al. Phosphorylation at S87 is enhanced in synucleinopathies, inhibits alpha-synuclein oligomerization, and influences synuclein-membrane interactions. J. Neurosci. 2010;30:3184–3198. doi: 10.1523/JNEUROSCI.5922-09.2010. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 205.Rutherford NJ, Brooks M, Giasson BI. Novel antibodies to phosphorylated alpha-synuclein serine 129 and NFL serine 473 demonstrate the close molecular homology of these epitopes. Acta Neuropathol. Commun. 2016;4:80. doi: 10.1186/s40478-016-0357-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 206.Uchihara T, Giasson BI. Propagation of alpha-synuclein pathology: hypotheses, discoveries, and yet unresolved questions from experimental and human brain studies. Acta Neuropathol. 2016;131:49–73. doi: 10.1007/s00401-015-1485-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 207.Delic V, et al. Sensitivity and specificity of phospho-Ser129 alpha-synuclein monoclonal antibodies. J. Comp. Neurol. 2018;526:1978–1990. doi: 10.1002/cne.24468. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 208.Schmid AW, Fauvet B, Moniatte M, Lashuel HA. Alpha-synuclein post-translational modifications as potential biomarkers for Parkinson disease and other synucleinopathies. Mol. Cell. Proteom. 2013;12:3543–3558. doi: 10.1074/mcp.R113.032730. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 209.Lashuel, H. A. et al. Neighbouring modifications interfere with the detection of phosphorylated alpha-synuclein at Serine 129: Revisiting the specificity of pS129 antibodies. bioRxiv. 10.1101/2022.03.30.486322 (2022).
- 210.Moors TE, et al. The subcellular arrangement of alpha-synuclein proteoforms in the Parkinson’s disease brain as revealed by multicolor STED microscopy. Acta Neuropathol. 2021;142:423–448. doi: 10.1007/s00401-021-02329-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 211.Petricca L, et al. Comparative Analysis of Total Alpha-Synuclein (alphaSYN) Immunoassays Reveals That They Do Not Capture the Diversity of Modified alphaSYN Proteoforms. J. Parkinson’s Dis. 2022;12:1449–1462. doi: 10.3233/JPD-223285. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 212.Laflamme C, Edwards AM, Bandrowski AE, McPherson PS. Opinion: Independent third-party entities as a model for validation of commercial antibodies. N. Biotechnol. 2021;65:1–8. doi: 10.1016/j.nbt.2021.07.001. [DOI] [PubMed] [Google Scholar]
- 213.Hobohm U, Houthaeve T, Sander C. Amino acid analysis and protein database compositional search as a rapid and inexpensive method to identify proteins. Anal. Biochem. 1994;222:202–209. doi: 10.1006/abio.1994.1474. [DOI] [PubMed] [Google Scholar]
- 214.Smith PK, et al. Measurement of protein using bicinchoninic acid. Anal. Biochem. 1985;150:76–85. doi: 10.1016/0003-2697(85)90442-7. [DOI] [PubMed] [Google Scholar]
- 215.Bradford MM. A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. Anal. Biochem. 1976;72:248–254. doi: 10.1016/0003-2697(76)90527-3. [DOI] [PubMed] [Google Scholar]
- 216.Lowry OH, Rosebrough NJ, Farr AL, Randall RJ. Protein measurement with the Folin phenol reagent. J. Biol. Chem. 1951;193:265–275. doi: 10.1016/S0021-9258(19)52451-6. [DOI] [PubMed] [Google Scholar]
- 217.Mirgorodskaya OA, Korner R, Kozmin YP, Roepstorff P. Absolute quantitation of proteins by acid hydrolysis combined with amino acid detection by mass spectrometry. Methods Mol. Biol. 2012;828:115–120. doi: 10.1007/978-1-61779-445-2_11. [DOI] [PubMed] [Google Scholar]
- 218.Cohen SA. Amino acid analysis using precolumn derivatization with 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate. Methods Mol. Biol. 2000;159:39–47. doi: 10.1385/1-59259-047-0:039. [DOI] [PubMed] [Google Scholar]
- 219.Cohen, S. A. Amino acid analysis using pre-column derivatization with 6-aminoquinolyl-N-hydroxysuccinimidyl carbamate. Analysis of hydrolyzed proteins and electroblotted samples. Methods Mol. Biol.211, 143–154 (2003). [PubMed]
- 220.Kumar R, et al. Cytotoxic oligomers and fibrils trapped in a gel-like state of alpha-synuclein assemblies. Angew. Chem. 2018;57:5262–5266. doi: 10.1002/anie.201711854. [DOI] [PubMed] [Google Scholar]
- 221.Tuttle MD, et al. Solid-state NMR structure of a pathogenic fibril of full-length human alpha-synuclein. Nat. Struct. Mol. Biol. 2016;23:409–415. doi: 10.1038/nsmb.3194. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 222.Ni X, McGlinchey RP, Jiang J, Lee JC. Structural Insights into alpha-Synuclein fibril polymorphism: effects of Parkinson’s disease-related C-terminal truncations. J. Mol. Biol. 2019;431:3913–3919. doi: 10.1016/j.jmb.2019.07.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 223.Guerrero-Ferreira, R. et al. Cryo-EM structure of alpha-synuclein fibrils. eLife7. 10.7554/eLife.36402 (2018). [DOI] [PMC free article] [PubMed]
- 224.Guerrero-Ferreira, R. et al. Two new polymorphic structures of human full-length alpha-synuclein fibrils solved by cryo-electron microscopy. eLife8. 10.7554/eLife.48907 (2019). [DOI] [PMC free article] [PubMed]
- 225.Guerrero-Ferreira R, Kovacik L, Ni D, Stahlberg H. New insights on the structure of alpha-synuclein fibrils using cryo-electron microscopy. Curr. Opin. Neurobiol. 2020;61:89–95. doi: 10.1016/j.conb.2020.01.014. [DOI] [PubMed] [Google Scholar]
- 226.Yang, Y. et al. Cryo-EM structures of α-synuclein filaments from Parkinson’s disease and dementia with Lewy bodies. bioRxiv. 10.1101/2022.07.12.499706 (2022).
- 227.Van der Perren A, et al. The structural differences between patient-derived alpha-synuclein strains dictate characteristics of Parkinson’s disease, multiple system atrophy and dementia with Lewy bodies. Acta Neuropathol. 2020;139:977–1000. doi: 10.1007/s00401-020-02157-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 228.Shi Y, et al. Cryo-EM structures of tau filaments from Alzheimer’s disease with PET ligand APN-1607. Acta Neuropathol. 2021;141:697–708. doi: 10.1007/s00401-021-02294-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 229.Kollmer M, et al. Cryo-EM structure and polymorphism of Abeta amyloid fibrils purified from Alzheimer’s brain tissue. Nat. Commun. 2019;10:4760. doi: 10.1038/s41467-019-12683-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 230.Arseni D, et al. Structure of pathological TDP-43 filaments from ALS with FTLD. Nature. 2022;601:139–143. doi: 10.1038/s41586-021-04199-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 231.Shi Y, et al. Structure-based classification of tauopathies. Nature. 2021;598:359–363. doi: 10.1038/s41586-021-03911-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 232.Paraskevaidi M, Martin-Hirsch PL, Martin FL. Vibrational spectroscopy: a promising approach to discriminate neurodegenerative disorders. Mol. Neurodegener. 2018;13:20. doi: 10.1186/s13024-018-0252-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 233.Nabers, A. et al. Amyloid blood biomarker detects Alzheimer’s disease. EMBO Mol. Med.10. 10.15252/emmm.201708763 (2018). [DOI] [PMC free article] [PubMed]
- 234.Nabers A, et al. Amyloid-beta-secondary structure distribution in cerebrospinal fluid and blood measured by an immuno-infrared-sensor: a biomarker candidate for Alzheimer’s disease. Anal. Chem. 2016;88:2755–2762. doi: 10.1021/acs.analchem.5b04286. [DOI] [PubMed] [Google Scholar]
- 235.Etezadi D, et al. Nanoplasmonic mid-infrared biosensor for in vitro protein secondary structure detection. Light Sci. Appl. 2017;6:e17029. doi: 10.1038/lsa.2017.29. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 236.Etezadi D, Warner JBT, Lashuel HA, Altug H. Real-time in situ secondary structure analysis of protein monolayer with mid-infrared plasmonic nanoantennas. ACS Sens. 2018;3:1109–1117. doi: 10.1021/acssensors.8b00115. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 237.Coughlin D, et al. Cognitive and pathological influences of tau pathology in lewy body disorders. Ann. Neurol. 2019;85:259–271. doi: 10.1002/ana.25392. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 238.Irwin, D. J. & Hurtig, H. I. The contribution of tau, amyloid-beta and alpha-synuclein pathology to dementia in lewy body disorders. J. Alzheimers Dis. Parkinsonism8. 10.4172/2161-0460.1000444 (2018). [DOI] [PMC free article] [PubMed]
- 239.Robinson JL, et al. The development and convergence of co-pathologies in Alzheimer’s disease. Brain J. Neurol. 2021;144:953–962. doi: 10.1093/brain/awaa438. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 240.Coughlin DG, Hurtig HI, Irwin DJ. Pathological influences on clinical heterogeneity in lewy body diseases. Mov. Disord. 2020;35:5–19. doi: 10.1002/mds.27867. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 241.Smirnov DS, et al. Association of neurofibrillary tangle distribution with age at onset-related clinical heterogeneity in Alzheimer disease: an autopsy study. Neurology. 2022;98:e506–e517. doi: 10.1212/WNL.0000000000013107. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 242.Mollenhauer B, et al. Monitoring of 30 marker candidates in early Parkinson disease as progression markers. Neurology. 2016;87:168–177. doi: 10.1212/WNL.0000000000002651. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 243.Cervantes Gonzalez A, Belbin O. Fluid markers of synapse degeneration in synucleinopathies. J. Neural Transm. 2022;129:187–206. doi: 10.1007/s00702-022-02467-8. [DOI] [PubMed] [Google Scholar]