ReviewTranslational neurodegeneration2020
Precision medicine in Parkinson's disease patients with LRRK2 and GBA risk variants - Let's get even more personal.
Review in Translational neurodegeneration, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
24 citing papers in PubMed, 39 citations in OpenAlex.
- Molecular Pathogenesis of Memory Impairment in Parkinson's Disease: An Exploration of Underlying Mechanisms.Health science reports · 2026Article
- Toward Personalized Medicine in Parkinson's Disease: A Scoping Review of Biomarkers, Genetics, and Treatment Stratification.Journal of clinical practice and research · 2025Review
- Precision Enzyme: Targeted Drug Discovery in Neurodegenerative Disorders.Protein and peptide letters · 2025Review
- Absence of theFrontiers in aging neuroscience · 2025Article
- Clinical, mechanistic, biomarker, and therapeutic advances in GBA1-associated Parkinson's disease.Translational neurodegeneration · 2024Review
- Neuroimaging and fluid biomarkers in Parkinson's disease in an era of targeted interventions.Nature communications · 2024Review
- Recalibrating the Why and Whom of Animal Models in Parkinson Disease: A Clinician's Perspective.Brain sciences · 2024Review
- Pharmacotherapy for Disease Modification in Early Parkinson's Disease: How Early Should We Be?Journal of Parkinson's disease · 2024Review
- A blood-based marker of mitochondrial DNA damage in Parkinson's disease.Science translational medicine · 2023Article
- International Genetic Testing and Counseling Practices for Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2023Article
- Article
- LRRK2 and Parkinson's disease: from genetics to targeted therapy.Annals of clinical and translational neurology · 2023Review
- Luxembourg Parkinson's study -comprehensive baseline analysis of Parkinson's disease and atypical parkinsonism.Frontiers in neurology · 2023Article
- Short Chain Fatty Acid Metabolism in Relation to Gut Microbiota and Genetic Variability.Nutrients · 2022Review
- Who to Enroll in Parkinson Disease Prevention Trials? The Case for Genetically At-Risk Cohorts.Neurology · 2022Review
- COVID-19 and Parkinsonism: A Critical Appraisal.Biomolecules · 2022Review
- Prodromal Parkinson's disease: hype or hope for disease-modification trials?Translational neurodegeneration · 2022Review
- Aberrant Structure MRI in Parkinson's Disease and Comorbidity with Depression Based on Multinomial Tensor Regression Analysis.Journal of personalized medicine · 2022Article
- Leveraging the Potential of Digital Technology for Better Individualized Treatment of Parkinson's Disease.Frontiers in neurology · 2022Review
- Precision medicine for Parkinson's disease: The subtyping challenge.Frontiers in aging neuroscience · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
Abstract
Parkinson's disease (PD) is characterized by motor deficits and a wide variety of non-motor symptoms. The age of onset, rate of disease progression and the precise profile of motor and non-motor symptoms display considerable individual variation. Neuropathologically, the loss of substantia nigra dopaminergic neurons is a key feature of PD. The vast majority of PD patients exhibit alpha-synuclein aggregates in several brain regions, but there is also great variability in the neuropathology between individuals. While the dopamine replacement therapies can reduce motor symptoms, current therapies do not modify the disease progression. Numerous clinical trials using a wide variety of approaches have failed to achieve disease modification. It has been suggested that the heterogeneity of PD is a major contributing factor to the failure of disease modification trials, and that it is unlikely that a single treatment will be effective in all patients. Precision medicine, using drugs designed to target the pathophysiology in a manner that is specific to each individual with PD, has been suggested as a way forward. PD patients can be stratified according to whether they carry one of the risk variants associated with elevated PD risk. In this review we assess current clinical trials targeting two enzymes, leucine-rich repeat kinase 2 (LRRK2) and glucocerebrosidase (GBA), which are encoded by two most common PD risk genes. Because the details of the pathogenic processes coupled to the different LRRK2 and GBA risk variants are not fully understood, we ask if these precision medicine-based intervention strategies will prove "precise" or "personalized" enough to modify the disease process in PD patients. We also consider at what phases of the disease that such strategies might be effective, in light of the genes being primarily associated with the risk of developing disease in the first place, and less clearly linked to the rate of disease progression. Finally, we critically evaluate the notion that therapies targeting LRRK2 and GBA might be relevant to a wider segment of PD patients, beyond those that actually carry risk variants of these genes.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.