ArticleFrontiers in aging neuroscience2018
The Luxembourg Parkinson's Study: A Comprehensive Approach for Stratification and Early Diagnosis.
Article in Frontiers in aging neuroscience, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
- Precision prevention for neurodegenerative diseases: lessons learnt from Alzheimer's disease translated into perspectives for Parkinson's disease.Journal of neural transmission (Vienna, Austria : 1996) · 2026Review
- Data-driven clinical decision support tool for diagnosing mild cognitive impairment in Parkinson's disease.NPJ Parkinson's disease · 2026Article
- Progression ofFrontiers in aging neuroscience · 2026Article
- Article
- Objective monitoring of motor symptom severity and their progression in Parkinson's disease using a digital gait device.Scientific reports · 2025Article
- Evaluating language model embeddings for Parkinson's disease cohort harmonization using a novel manually curated variable mapping schema.Scientific reports · 2025Article
- Penetrance of Parkinson's disease in GBA1 carriers depends on variant severity and polygenic background.NPJ Parkinson's disease · 2025Article
- Sex-specific progression of Parkinson's disease: A longitudinal mixed-models analysis.Journal of Parkinson's disease · 2025Article
- Predictive modeling to uncover Parkinson's disease characteristics that delay diagnosis.NPJ Parkinson's disease · 2025Article
- Integrating digital gait data with metabolomics and clinical data to predict outcomes in Parkinson's disease.NPJ digital medicine · 2024Article
- Mixed effects models but not t-tests or linear regression detect progression of apathy in Parkinson's disease over seven years in a cohort: a comparative analysis.BMC medical research methodology · 2024Article
- Article
- Cardiovascular history and risk of idiopathic Parkinson's disease: a cross-sectional observational study.BMC neuroscience · 2024Observational
- Progression subtypes in Parkinson's disease identified by a data-driven multi cohort analysis.NPJ Parkinson's disease · 2024Article
- Gut microbiome is not associated with mild cognitive impairment in Parkinson's disease.NPJ Parkinson's disease · 2024Article
- Sensor-Based Quantification of MDS-UPDRS III Subitems in Parkinson's Disease Using Machine Learning.Sensors (Basel, Switzerland) · 2024Article
- Comprehensive blood metabolomics profiling of Parkinson's disease reveals coordinated alterations in xanthine metabolism.NPJ Parkinson's disease · 2024Article
- Education as Risk Factor of Mild Cognitive Impairment: The Link to the Gut Microbiome.The journal of prevention of Alzheimer's disease · 2024Article
- Advancing Parkinson's Disease Research in Canada: The Canadian Open Parkinson Network (C-OPN) Cohort.Journal of Parkinson's disease · 2024Article
- Cognition and Other Non-Motor Symptoms in an At-Risk Cohort for Parkinson's Disease Defined by REM-Sleep Behavior Disorder and Hyposmia.Journal of Parkinson's disease · 2024Article
Corrections and comments
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Authors and funding
26 authors.
Funding
Abstract
While genetic advances have successfully defined part of the complexity in Parkinson's disease (PD), the clinical characterization of phenotypes remains challenging. Therapeutic trials and cohort studies typically include patients with earlier disease stages and exclude comorbidities, thus ignoring a substantial part of the real-world PD population. To account for these limitations, we implemented the Luxembourg PD study as a comprehensive clinical, molecular and device-based approach including patients with typical PD and atypical parkinsonism, irrespective of their disease stage, age, comorbidities, or linguistic background. To provide a large, longitudinally followed, and deeply phenotyped set of patients and controls for clinical and fundamental research on PD, we implemented an open-source digital platform that can be harmonized with international PD cohort studies. Our interests also reflect Luxembourg-specific areas of PD research, including vision, gait, and cognition. This effort is flanked by comprehensive biosampling efforts assuring high quality and sustained availability of body liquids and tissue biopsies. We provide evidence for the feasibility of such a cohort program with deep phenotyping and high quality biosampling on parkinsonism in an environment with structural specificities and alert the international research community to our willingness to collaborate with other centers. The combination of advanced clinical phenotyping approaches including device-based assessment will create a comprehensive assessment of the disease and its variants, its interaction with comorbidities and its progression. We envision the Luxembourg Parkinson's study as an important research platform for defining early diagnosis and progression markers that translate into stratified treatment approaches.
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