Comprehensive analysis of clinical and biological features in Parkinson's disease associated with the LRRK2 G2019S mutation: Data from the PPMI study

Autor: Xiaohui Sun, Kaixin Dou, Li Xue, Yijie Xie, Yong Yang, Anmu Xie
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Clinical and Translational Science, Vol 17, Iss 1, Pp n/a-n/a (2024)
Druh dokumentu: article
ISSN: 1752-8062
1752-8054
DOI: 10.1111/cts.13720
Popis: Abstract The Parkinson's Progression Marker Initiative (PPMI) aims to identify biomarkers for Parkinson's disease (PD) risk, onset, and progression. This study focuses on the G2019S missense mutation in the LRRK2 gene, which is associated with hereditary and sporadic PD. Utilizing data from the PPMI database, we conducted an analysis of baseline clinical characteristics, as well as serum and cerebrospinal fluid levels in two groups: patients with PD with the G2019S mutation (PD + G2019S) and patients with PD without the mutation (PD‐G2019S). Multiple linear regression and longitudinal analysis were performed, controlling for confounding factors. Compared to the PD‐G2019S group, the PD + G2019S group showed more obvious initial motor dysfunction—higher baseline Movement Disorder Society‐Sponsored Revision of the Unified Parkinson Disease Rating Scale (MDS‐UPDRS) scores (false discovery rate [FDR]‐adjusted p
Databáze: Directory of Open Access Journals
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