Association of specific biotypes in patients with Parkinson's disease and disease progression

Objective To identify biotypes in newly diagnosed Parkinson’s disease patients and test whether these biotypes could explain inter-individual differences in longitudinal progression. Methods In this longitudinal analysis, we use a data-driven approach clustering PD patients from the Parkinson’s Progression Markers Initiative (PPMI) (n = 314, age = 61.0 ± 9.5, 34.1% female, 5 years follow-up). Voxel-level neuroanatomical features were estimated using deformation-based morphometry (DBM) of T1-weighted MRI. Voxels whose deformation values were significantly correlated (P &lt; 0.01) with clinical scores (MDS-UPDRS-Parts I-III, MDS-UPDRS-total, tremor score, and postural instability and gait difficulty score) at baseline were selected. Then, these neuroanatomical features were subjected to hierarchical cluster analysis. Changes in the longitudinal progression and neuroanatomical pattern were compared between different biotypes. Results Two neuroanatomical biotypes were iden...### 研究目的 鉴定新确诊帕金森病（Parkinson’s disease）患者的生物型，并验证此类生物型是否可解释纵向病情进展过程中的个体间差异。 ### 研究方法 本项纵向分析采用数据驱动方法，对来自帕金森病进展标记物倡议（Parkinson’s Progression Markers Initiative, PPMI）的帕金森病（PD）患者进行聚类分析，共纳入314例受试者，年龄为61.0±9.5岁，女性占比34.1%，随访时长为5年。通过T1加权磁共振成像（T1-weighted MRI）的基于形变的形态测量法（deformation-based morphometry, DBM）估算体素级神经解剖学特征。选取基线时形变值与临床评分[包括运动障碍学会统一帕金森病评定量表（Movement Disorder Society-Unified Parkinson’s Disease Rating Scale, MDS-UPDRS）第I~III部分、MDS-UPDRS总分、震颤评分以及姿势不稳与步态困难评分]显著相关（P<0.01）的体素。随后对上述神经解剖学特征开展层次聚类分析。比较不同生物型在纵向病情进展及神经解剖学模式上的差异。 ### 研究结果 共鉴定出2种神经解剖学生物型，原文内容未完整展示。