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PubMed2004

alpha-Synuclein A53T substitution associated with Parkinson disease also marks the divergence of Old World and New World primates.

The alpha-synuclein mutation Ala53Thr is associated with increased oligomerization, toxicity, and early onset Parkinson disease in humans, but 53Thr is the normal residue in other species. Comparative sequencing of SNCA genes shows that 53Ala marks the divergence of Old World and New World primates, in an otherwise constrained protein region. These results have implications for interpreting Parkinson disease models and suggest that other long-lived mammals have different mechanisms to forestall alpha-synucleinopathy.

Alleles↗

PubMed2025

Longitudinal multi-omics in alpha-synuclein Drosophila model discriminates disease- from age-associated pathologies in Parkinson's disease.

Parkinson's disease (PD) starts decades before symptoms appear, usually in the later decades of life, when age-related changes are occurring. To identify molecular changes early in the disease course and distinguish PD pathologies from aging, we generated Drosophila expressing alpha-synuclein (αSyn) in neurons and performed longitudinal bulk transcriptomics and proteomics on brains at six time points across the lifespan and compared the data to healthy control flies as well as human post-mortem brain datasets. We found that translational and energy metabolism pathways were downregulated in αSyn flies at the earliest timepoints; comparison with the aged control flies suggests that elevated αSyn accelerates changes associated with normal aging. Unexpectedly, single-cell analysis at a mid-disease stage revealed that neurons upregulate protein synthesis and nonsense-mediated decay, while glia drive their overall downregulation. Longitudinal multi-omics approaches in animal models can thus help elucidate the molecular cascades underlying neurodegeneration vs. aging and co-pathologies.

Journal Article↗

PubMed2026

Missense mutations in the SNCA gene: Molecular mechanisms and clinical implications.

The SNCA gene on chromosome 4 encodes the alpha-synuclein (αSyn) protein, which plays a central role in the pathogenesis of synucleinopathies, including Parkinson's disease (PD), dementia with Lewy bodies (DLB), and multiple system atrophy (MSA). While αSyn has established roles in synaptic vesicle dynamics and neuronal signaling, alterations in SNCA regulation and sequence contribute to protein misfolding, aggregation, and loss of function. Alterations in secondary and tertiary structure, as well as protein aggregation, affect biochemical interactions, ultimately leading to pathogenesis. This review outlines the molecular architecture of the SNCA gene, including regulatory regions, alternative splicing, and untranslated regions that influence αSyn expression and isoform diversity. Seven missense mutations of the SNCA gene are discussed in detail from the genomic level, extending to phenotypic presentations. These missense mutations have different effects on the aggregation kinetics and fibril formation. Specific genotype-phenotype correlations are evident, with mutations such as A30P and H50Q commonly resembling idiopathic PD, E46K strongly associated with DLB, and G51D, A53T, and A53E linked to atypical parkinsonism and MSA-like syndromes. Differences in age at onset, disease progression, cognitive involvement, and response to therapy further reflect mutation-specific effects and modifying influences of allelic dosage and epigenetic regulation. Collectively, these findings emphasize the importance of SNCA genetic variation in shaping disease phenotype and progression. Improving the understanding of SNCA genotype-phenotype relationships in future studies may facilitate earlier diagnosis, refine prognostic stratification, and support the development of targeted, disease-modifying therapies for synucleinopathies.

Molecular mechanisms↗

PubMed2025

CNV-Finder: Streamlining Copy Number Variation Discovery.

Copy Number Variations (CNVs) play pivotal roles in the etiology of complex diseases and are variable across diverse populations. Understanding the association between CNVs and disease susceptibility is significant in disease genetics research and often requires analysis of large sample sizes. One of the most cost-effective and scalable methods for detecting CNVs is based on normalized signal intensity values, such as Log R Ratio (LRR) and B Allele Frequency (BAF), from Illumina genotyping arrays. In this study, we present CNV-Finder, a novel pipeline integrating deep learning techniques on array data, specifically a Long Short-Term Memory (LSTM) network, to expedite the large-scale identification of CNVs within predefined genomic regions. This facilitates efficient prioritization of samples for time-consuming or costly subsequent analyses such as Multiplex Ligation-dependent Probe Amplification (MLPA), short-read, and long-read whole genome sequencing. We incorporate four genes to establish our methods-Parkin (PRKN), Leucine Rich Repeat And Ig Domain Containing 2 (LINGO2), Microtubule Associated Protein Tau (MAPT), and alpha-Synuclein (SNCA)-which may be relevant to neurological diseases such as Alzheimer's disease (AD), Parkinson's disease (PD), Progressive Supranuclear Palsy (PSP), or related disorders such as essential tremor (ET). By training our models on expert-annotated samples and validating them across diverse cohorts, including those from the Global Parkinson's Genetics Program (GP2) and additional dementia-specific databases, we demonstrate the efficacy of CNV-Finder in accurately detecting deletions and duplications. Our pipeline outputs app-compatible files for visualization within CNV-Finder's interactive web application. This interface enables researchers to review predictions and filter displayed samples by model prediction values, LRR range, and variant count in order to explore or confirm results. Our pipeline integrates this human feedback to enhance model performance and reduce false positive rates. Through a series of comprehensive analyses and validations using visual inspection, MLPA, short-read, and long-read sequencing data, we demonstrate the robustness and adaptability of CNV-Finder in identifying CNVs with regions of varied size, probe density, and noise. Our findings highlight the significance of contextual understanding and human expertise in enhancing the precision of CNV identification, particularly in complex genomic regions like 17q21.31. The CNV-Finder pipeline is a scalable, publicly available resource for the scientific community, available on GitHub (https://github.com/GP2code/CNV-Finder; DOI 10.5281/zenodo.14182563). CNV-Finder not only expedites accurate candidate identification but also significantly reduces the manual workload for researchers, enabling future targeted validation and downstream analyses in regions or phenotypes of interest.

Copy Number Variation (CNV)↗

PubMed2025

Differential Expression of Erythrocyte Proteins in Patients with Alcohol Use Disorder.

Alcohol Use Disorder (AUD) poses global health challenges, and causes hematological alterations such as macrocytosis and oxidative stress. Disruption of protein structures by alcohol and/or its metabolites may exacerbate AUDs; proteomics can elucidate the underlying biological mechanisms. This study examined the proteins differentially expressed in the cytosol and membrane fractions of erythrocytes obtained from 30 male patients with AUD, comparing them to samples from 15 age- and BMI-matched social drinkers (SDs) and 15 non-drinkers (control). The analysis aimed to identify the molecular differences related to alcohol consumption. The AUD patient subgrouping was based on mean corpuscular volume (MCV), with 16 individuals classified as having a normal MCV and 14 having a high MCV. Proteins were separated via two-dimensional(2D)-gel electrophoresis, digested with trypsin, and identified via Matrix-Assisted Laser Desorption/Ionization Time-of-Flight (TOF) mass spectrometry (MALDI-TOF/TOF). Additionally, levels of malondialdehyde and 4-hydroxyalkenals (MDA + HAE), reduced glutathione (GSH), oxidized glutathione (GSSG), serum carbohydrate-deficient transferrin (%CDT), disialotransferrin (%DST), and sialic acid (SA) were analyzed. The results showed increased MDA + HAE and decreased total thiols in AUD patients, with GSSG elevated and the GSH/GSSG ratio reduced in the AUD MCV-high subgroup. Serum %CDT, %DST, and SA were significantly higher in AUD. Compared to the control profiles, the AUD group exhibited differential protein expression. Few proteins, such as bisphosphoglycerate mutase, were downregulated in AUD versus control and SD, as well as in the MCV-high AUD subgroup. Conversely, endoplasmin and gelsolin were upregulated in AUD relative to control. Cytoskeletal proteins, including spectrin-alpha chain, actin cytoplasmic 2, were overexpressed in the AUD group and MCV-high AUD subgroup. Several proteins, such as 14-3-3 isoforms, alpha-synuclein, translation initiation factors, heat shock proteins, and others, were upregulated in the MCV-high AUD subgroup. Under-expressed proteins in this subgroup include band 3 anion transport protein, bisphosphoglycerate mutase, tropomyosin alpha-3 chain, uroporphyrinogen decarboxylase, and WD repeat-containing protein 1. Our findings highlight the specific changes in protein expression associated with oxidative stress, cytoskeletal alterations, and metabolic dysregulation, specifically in AUD patients with an elevated MCV. Understanding these mechanisms is crucial for developing targeted interventions and identifying biomarkers of alcohol-induced cellular damage. The complex interplay between oxidative stress, membrane composition, and cellular function illustrates how chronic alcohol exposure affects cellular physiology.

Humans↗

PubMed2026

Intra-locus coeruleus LPS administration induces anxiety-like behavior, thermal hyperalgesia, and striatal lysosomal alterations: Relevance to Parkinson's disease.

According to Braak's staging hypothesis, Parkinson's disease (PD) pathology may originate in extranigral regions, including the locus coeruleus (LC). In parallel, PD has been associated with lysosomal dysfunction. Here, we investigated whether intra-LC lipopolysaccharide (LPS) injection may produce behavioral alterations and lysosomal protein changes in the striatum and prefrontal cortex (PFC), regions critically implicated in PD pathology. Adult male Wistar rats received unilateral injections of saline or LPS (10 µg/2 µL) into the LC or striatum and were assessed for anxiety-like behavior, thermal hyperalgesia, and motor coordination. A separate cohort was sacrificed 15 days post-injection to assess lysosomal proteins (cathepsin D, β-glucocerebrosidase, Lysosomal Associated Membrane Protein 2 (LAMP2)) and α-synuclein (α-Syn). Intra-LC LPS induced anxiety-like behavior, reflected by reduced time spent in the center of the open field, and thermal hyperalgesia, as shown by shortened tail-flick latency, whereas intra-striatal LPS impaired locomotion and motor coordination, evidenced by reduced line crossings and decreased rotarod performance. Intra-LC but not intra-striatal LPS reduced LAMP2 levels in the striatum, while all other markers remained unchanged in both regions. These findings provide experimental support for Braak's hypothesis.

Animals↗

PubMed2026

Plasma cfDNA hypermethylation at SNCA intron 1 as a potential blood-based epigenetic signal in Parkinson's disease and multiple system atrophy.

BACKGROUND: The accumulation of α-synuclein (SNCA) in the central nervous system is a hallmark of Parkinson's disease (PD) and multiple system atrophy (MSA). SNCA intron 1 methylation is implicated in SNCA transcriptional regulation and may serve as a peripheral epigenetic signal in synucleinopathies. However, studies of SNCA methylation in leukocyte-derived DNA have yielded inconsistent results. We aimed to evaluate whether cell-free DNA (cfDNA)-based SNCA intron 1 methylation differs in PD or MSA compared with normal controls (NC). METHODS: Plasma cfDNA was collected from 105 patients with PD, 50 with MSA, and 114 NC. DNA methylation at CpG sites 10-17 was quantified by bisulfite pyrosequencing. Multivariable linear and logistic regression models, adjusted for age, sex, and education, were used to compare methylation levels and estimate odds ratios (ORs). RESULTS: Patients with PD exhibited hypermethylation at CpG site 14 and higher mean methylation across CpG sites 10-17 compared with NC. Patients with MSA showed hypermethylation at CpG sites 10, 12, 13, and 17 and elevated mean methylation. Elevated mean methylation was also observed in drug-naïve de novo PD and early-stage PD patients. Compared with the lowest tertile, the highest mean methylation tertile was associated with increased odds of PD (OR, 2.49; 95% CI, 1.08-5.92) and MSA (OR, 5.02; 95% CI, 1.58-18.00). CONCLUSION: Plasma cfDNA SNCA intron 1 hypermethylation is associated with PD and MSA and detectable in drug-naïve and early-stage PD. It may represent a peripheral epigenetic alteration and warrants evaluation as an adjunctive signal for early screening.

Humans↗

PubMed2026

Cholesterol dysregulation in APOE4 astrocytes promotes α-synuclein pathology in miBrains.

The pathological hallmarks of neurodegeneration are the aberrant post-translational modification and aggregation of proteins. Genetic factors, like APOE4, increase the prevalence and severity of tau, amyloid, and α-synuclein pathologies. However, the human brain is largely inaccessible during this process, limiting mechanistic understanding. Here, we developed an iPSC-based 3D model that integrates neurons, glia, myelin, and cerebrovascular cells into a human brain-like tissue ("miBrain"). Single-nucleus RNA sequencing of miBrains confirmed the presence of diverse cell populations and revealed transcriptional responses to α-synuclein pathology. Like the human brain, pathogenic α-synuclein is increased in APOE4/4 miBrains. Combinatorial experiments revealed that endolysosomal dysfunction caused by cholesterol accumulation in APOE4/4 astrocytes impairs the degradation of soluble α-synuclein leading to a pathogenic transformation that seeds α-synuclein inclusions in neurons. Collectively, this study establishes a robust model for investigating protein inclusions in human iPSC-derived brain tissue and highlights the role of astrocytes and cholesterol in APOE4-mediated pathologies.

alpha-Synuclein↗

PubMed2026

TogoPhosTAC as a delivery-ready platform for targeted protein dephosphorylation.

Phosphorylation-targeting chimeras (PhosTACs) enable targeted protein dephosphorylation by recruiting phosphatases through induced proximity. However, the direct recruitment of phosphatase subunits or holoenzymes with small molecules remains challenging, as suitable ligands are scarce and often compromise enzymatic activity or cellular function. Here, we present togoPhosTAC, a hybrid modality that integrates a small-molecule PhosTAC, an engineered FKBP12F36V-phosphatase, and a lipid nanoparticle delivery system. This strategy allows delivery of preassembled PhosTAC-FKBP12F36V-phosphatase complexes or PhosTAC-phosphatase mRNA, enabling rapid and efficient intracellular dephosphorylation. We demonstrate that togoPhosTAC can selectively dephosphorylate EGFR, α-synuclein, and tau in biological contexts, providing a versatile strategy that circumvents the need for genetically engineered phosphatases. We also find togoPhosTAC further enhances tau dephosphorylation as well as its disaggregation in cellulo. Importantly, intrahippocampal or intranasal delivery of togoPhosTAC in PS19 tau transgenic male mice leads to a marked reduction in pathological tau phosphorylation across multiple sites (Ser202, Thr205, Thr231, Ser396, and Ser404), decreases pathological tau burden in related brain regions, and improves Alzheimer's disease-related behavioral deficits. Together, these findings establish a versatile and generalizable approach for precise protein dephosphorylation in disease-relevant systems, overcoming key limitations in phosphatase-recruiting drug discovery.

Animals↗

PubMed2026

In Vivo Screen of Parkinson's Disease GWAS Risk Genes Identifies ARIH2 as a Novel Regulator of α-Synuclein Toxicity in Dopaminergic Neurons.

Parkinson's disease (PD) is a late-onset neurodegenerative disease characterized by preferential degeneration of midbrain dopaminergic neurons and α-synuclein-containing Lewy bodies that are found in both familial and sporadic forms. Genome-wide association studies (GWAS) have identified many loci associated with risk of sporadic PD, but their role in PD pathogenesis remains largely unknown. We screened a subset of GWAS genes in Caenorhabditis elegans (C. elegans) as potential modulators of α-synuclein-mediated degeneration of dopaminergic neurons. Loss of ari-2 (human ARIH2), an E3 ubiquitin ligase, was identified as the strongest suppressor of dopaminergic neurodegeneration in C. elegans. Unbiased proteomics analysis in human-induced pluripotent stem cell-derived dopaminergic neurons revealed novel substrates of ARIH2 including TPPP3, a regulator of microtubule dynamics. Importantly, TPPP3 was required for ARIH2's effects on α-synuclein-induced dopaminergic neurodegeneration. Our studies reveal an unexpected genetic interaction between two PD-linked genes, α-synuclein and ARIH2, and suggest that inhibition of ARIH2's enzymatic activity may serve as a potential therapeutic approach in PD.

Animals↗

PubMed2026

Mitochondrial resilience: a convergent framework for pathogenesis and neuroprotection in Parkinson's disease.

Parkinson's disease (PD) is traditionally described as a dopaminergic neurodegenerative disorder driven by α-synuclein aggregation and selective neuronal loss in the substantia nigra pars compacta. While this characterization captures the core clinical and pathological features, it does not fully explain disease initiation and progression. Converging evidence from human genetics, cellular and structural biology, and systems neuroscience now supports a unified framework in which PD results from the progressive erosion of mitochondrial resilience. Here, mitochondrial resilience denotes the capacity of neuronal mitochondrial networks to withstand stress and recover bioenergetic and cellular homeostasis through coordinated quality control, metabolic adaptation, and organelle communication. Rare, high-impact monogenic mutations in PINK1, PRKN (encoding Parkin), PARK7 (DJ-1), LRRK2, and SNCA, along with common risk variants identified in genome-wide association studies, converge on interconnected pathways that govern mitochondrial quality control, bioenergetics, organelle dynamics, and cellular stress responses. These vulnerabilities are most pronounced in the highly energetic dopaminergic neurons of the substantia nigra, where sustained calcium cycling, high bioenergetic demand, and environmental stressors increase cellular susceptibility. Research has moved beyond early observations of respiratory chain impairment and oxidative stress to reveal context-specific disruptions in PINK1/Parkin-mediated mitophagy, lysosomal trafficking, mitochondrial-derived vesicle dynamics, and neuroimmune signaling. This integrated framework reframes PD as a disorder of impaired cellular maintenance rather than solely a consequence of late-stage degenerative processes. It provides a translational shift from mechanism-based biomarkers to early detection of mitochondrial failure and supports therapeutic strategies aimed at restoring mitochondrial function and resilience, offering a direct route to disease-modifying neuroprotection in PD and potentially other neurodegenerative disorders.

LRRK2↗

PubMed2024

Identifying transgene insertions in Caenorhabditis elegans genomes with Oxford Nanopore sequencing.

Genetically modified organisms are commonly used in disease research and agriculture but the precise genomic alterations underlying transgenic mutations are often unknown. The position and characteristics of transgenes, including the number of independent insertions, influences the expression of both transgenic and wild-type sequences. We used long-read, Oxford Nanopore Technologies (ONT) to sequence and assemble two transgenic strains of Caenorhabditis elegans commonly used in the research of neurodegenerative diseases: BY250 (pPdat-1::GFP) and UA44 (GFP and human α-synuclein), a model for Parkinson's research. After scaffolding to the reference, the final assembled sequences were ∼102 Mb with N50s of 17.9 Mb and 18.0 Mb, respectively, and L90s of six contiguous sequences, representing chromosome-level assemblies. Each of the assembled sequences contained more than 99.2% of the Nematoda BUSCO genes found in the C. elegans reference and 99.5% of the annotated C. elegans reference protein-coding genes. We identified the locations of the transgene insertions and confirmed that all transgene sequences were inserted in intergenic regions, leaving the organismal gene content intact. The transgenic C. elegans genomes presented here will be a valuable resource for Parkinson's research as well as other neurodegenerative diseases. Our work demonstrates that long-read sequencing is a fast, cost-effective way to assemble genome sequences and characterize mutant lines and strains.

Caenorhabditis elegans↗