Atypical Parkinsonism

Multiple system atrophy is a rare, rapidly progressive neurodegenerative disease characterized by variable combinations of parkinsonism, cerebellar ataxia, and autonomic dysfunction. Existing natural history studies from North America, Europe, and Japan suggest that clinical phenotypes and disease progression may differ across populations. However, comprehensive multicenter prospective data from Chinese patients with multiple system atrophy remain limited. This prospective multicenter registry study aims to describe the clinical characteristics, longitudinal progression, and outcomes of Chinese patients with multiple system atrophy, to identify factors associated with disease progression and prognosis, and to establish a longitudinal cohort for future biomarker validation and clinical trial design.

This prospective observational study aims to identify and preliminarily validate molecular biomarkers, including microRNAs and metabolites, for the early differentiation of Parkinson's disease (PD) from atypical parkinsonian syndromes (APS). The study will enroll up to 100 patients with PD, 50 patients with suspected APS, and 50 healthy controls. Participants will undergo clinical assessments and provide blood, urine, and stool samples at baseline and after 12-18 months of follow-up. Molecular analyses, including microRNA profiling, metabolomics, RNA sequencing (RNA-seq), and microbiome analysis, will be performed to identify disease-specific diagnostic signatures. The primary objective is to detect differences in molecular profiles among patients with PD, patients with APS, and healthy controls. Secondary objectives include evaluating the diagnostic accuracy of biomarker panels and assessing longitudinal changes in these biomarkers over time. Although participants will not receive direct therapeutic benefits, the study may contribute to the development of non-invasive tools for the early diagnosis and improved differentiation of parkinsonian disorders.

The proposed research aims to investigate the use of speech amplification devices as a potential treatment option for people with Parkinson's disease and related disorders who exhibit hypophonia, a voice disorder that affects over half of those with Parkinson's disease. By characterizing the acoustic and perceptual effects of speech amplification and identifying ways to optimize outcomes through talker- and device-specific enhancements, this project seeks to develop personalized, evidence-based treatment options for hypophonia. The current proposal will move this effort forward by systematically eliciting and modifying speech amplification device output that leverage both behavioral and technological approaches.

The purpose of this study is to measure outcomes using intranasal and intravenous autologous bone marrow mesenchymal stem cells (BM-MSCs) for Parkinson Disease (PD) and Parkinson's Plus (PPS) patients.

The goal of this observational study is to compare the aggregation pattern of proteinopathies (alpha-synuclein, amyloid-beta, phosphorylated tau and transactive response DNA -binding protein 43 \[TDP43\]) in skin biopsies of patients with a neurodegenerative disease like Alzheimer's disease, frontotemporal lobe dementia, Parkinson's disease, atypical Parkinsonism, amyotrophic lateral sclerosis or normal pressure hydrocephalus. The main question it aims to answer is: * Is there a specific pattern of aggregation of proteinopathies in skin biopsies in each neurodegenerative disease in comparison to healthy control subjects? Skin biopsies will be analyzed using immunohistochemistry and immunofluorescence for detection of alpha-synuclein, amyloid-beta, phosphorylated tau and TAR DNA binding protein 43, and the aggregation patterns will be compared between patients with a neurodegenerative disease vs patient with normal pressure hydrocephalus vs healthy control subjects.

MARKERS-NDD is a prospective, observational, longitudinal study, which aims to collect data from patients affected by neurodegenerative diseases (NDD) followed longitudinally for routine examinations performed as part of normal clinical practice. Data collected from clinical evaluations, movement analysis, brain imaging, neuropsychological and electroencephalographic assessments, blood chemistry tests will be analysed to carry out statistical investigations and predictive analyses, also using artificial intelligence systems, which allow the identification of new early markers of diagnosis and prognosis of neurodegenerative diseases.