ArticleNPJ Parkinson's disease2022
Longitudinal clinical and biomarker characteristics of non-manifesting LRRK2 G2019S carriers in the PPMI cohort.
Article in NPJ Parkinson's disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- NEXIM: A Nash Equilibrium-Based Framework for Stable Explainable AI in Medical Applications.medRxiv : the preprint server for health sciences · 2026Article
- Neuroengineering Frontiers: A Selective Review of Neural Interfaces, Brain-Machine Interactions, and Artificial Intelligence in Neurodegenerative Diseases.Applied sciences (Basel, Switzerland) · 2025Article
- Stable two-year longitudinal clinical outcomes in LRRK2 G2019S non-manifest carriers in a remote nationwide study.Parkinsonism & related disorders · 2025Article
- Nigral volume loss in prodromal, early, and moderate Parkinson's disease.NPJ Parkinson's disease · 2025Article
- Longitudinal Assessment of Parkinson's Motor Symptoms and Dopaminergic Dysfunction Patterns Using DaTSCAN.Clinical parkinsonism & related disorders · 2025Article
- Genetic analysis and natural history of Parkinson's disease due to the LRRK2 G2019S variant.Brain : a journal of neurology · 2024Article
- Approaches to Early Parkinson's Disease Subtyping.Journal of Parkinson's disease · 2024Review
- Characteristics of fatigue in Parkinson's disease: A longitudinal cohort study.Frontiers in aging neuroscience · 2023Article
- Age- and Sex-Dependent Behavioral and Neurochemical Alterations in hLRRK2-G2019S BAC Mice.Biomolecules · 2022Article
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17 authors.
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Abstract
We examined 2-year longitudinal change in clinical features and biomarkers in LRRK2 non-manifesting carriers (NMCs) versus healthy controls (HCs) enrolled in the Parkinson's Progression Markers Initiative (PPMI). We analyzed 2-year longitudinal data from 176 LRRK2 G2019S NMCs and 185 HCs. All participants were assessed annually with comprehensive motor and non-motor scales, dopamine transporter (DAT) imaging, and biofluid biomarkers. The latter included cerebrospinal fluid (CSF) Abeta, total tau and phospho-tau; serum urate and neurofilament light chain (NfL); and urine bis(monoacylglycerol) phosphate (BMP). At baseline, LRRK2 G2019S NMCs had a mean (SD) age of 62 (7.7) years and were 56% female. 13% had DAT deficit (defined as <65% of age/sex-expected lowest putamen SBR) and 11% had hyposmia (defined as ≤15th percentile for age and sex). Only 5 of 176 LRRK2 NMCs developed PD during follow-up. Although NMCs scored significantly worse on numerous clinical scales at baseline than HCs, there was no longitudinal change in any clinical measures over 2 years or in DAT binding. There were no longitudinal differences in CSF and serum biomarkers between NMCs and HCs. Urinary BMP was significantly elevated in NMCs at all time points but did not change longitudinally. Neither baseline biofluid biomarkers nor the presence of DAT deficit correlated with 2-year change in clinical outcomes. We observed no significant 2-year longitudinal change in clinical or biomarker measures in LRRK2 G2019S NMCs in this large, well-characterized cohort even in the participants with baseline DAT deficit. These findings highlight the essential need for further enrichment biomarker discovery in addition to DAT deficit and longer follow-up to enable the selection of NMCs at the highest risk for conversion to enable future prevention clinical trials.
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