ArticleParkinsonism & related disorders2025
Stable two-year longitudinal clinical outcomes in LRRK2 G2019S non-manifest carriers in a remote nationwide study.
Article in Parkinsonism & related disorders, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
backgroundInterest in Parkinson's disease (PD) prevention trials is growing, and genetically at-risk individuals may be ideal candidates. LRRK2 G2019S is the most common autosomal dominant genetic cause of PD and exhibits incomplete penetrance.
objectiveIn a remote, prospective cohort study of LRRK2 G2019S carriers without PD, we examined change over time to better understand the natural history of LRRK2 PD.
methodsClinical measures completed during annual video visits included the Movement Disorders Society Unified Parkinson's Disease Rating Scale (MDS-UPDRS parts I-III), Scales for Outcomes in Parkinson's Disease-Autonomic (SCOPA-AUT), Epworth Sleepiness Scale (ESS), REM Sleep Behavior Disorder Screening Questionnaire (RBDSQ), Beck Depression Inventory-II (BDI-II), Parkinson Anxiety Scale (PAS), and Montreal Cognitive Assessment (MoCA). To examine change from baseline to year two, we performed mixed model repeated measures analysis. To compare change over two years between different subgroups, we used generalized estimating equations.
resultsWe enrolled 211 LRRK2 G2019S carriers without PD, of whom 201 (mean (standard deviation) 53.9 (14.9) years of age, 119 (59 %) women, 151 (75 %) Ashkenazi Jewish) contributed longitudinal data. Over two years, mean change ± standard error (effect size) for the MoCA was 0.71 ± 0.12 (0.43), MDS-UPDRS part II 0.07 ± 0.15 (0.03), MDS-UPDRS part III 0.17 ± 0.19 (0.06), SCOPA-AUT -0.50 ± 0.27 (0.13), ESS -0.27 ± 0.15 (0.13), RBDSQ -0.32 ± 0.13 (0.18), BDI-II -0.11 ± 0.32 (0.02), and PAS -0.94 ± 0.29 (0.22).
conclusionRemotely administered motor, sleep, and autonomic measures were stable over two years. We need more sensitive measures of disease progression (e.g., biomarkers) and a better understanding of predictors of development of clinically manifest LRRK2 PD.
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