Characterization of Parkinson's Disease Subtypes and Related Attributes

• Authors: Shamatree Shakya, Duke University; Julia Prevett, Duke University; Xiao Hu, Emory University; Ran Xiao, Emory University
• Journal Title: FRONTIERS IN NEUROLOGY
• Volume: Volume 13
• Publisher: FRONTIERS MEDIA SA | 2022-05-23, Pages 810038-810038
• Type of Work: Article | Final Publisher PDF
• Publisher DOI: http://doi.org/10.3389/fneur.2022.810038
• Subjects: Health Sciences, Nursing; Computer Science
• Keywords: Science & Technology; Life Sciences & Biomedicine; Clinical Neurology; Neurosciences; Neurosciences & Neurology; Parkinson's disease; symptoms; subtypes; cluster analysis; data driven approach; TAU/ALPHA-SYNUCLEIN RATIO; CLINICAL SUBTYPES; MOTOR SUBTYPES; HETEROGENEITY; PROGRESSION; BIOMARKERS; IDENTIFICATION; IMPAIRMENT

Abstract

Parkinson's disease is a progressive neurodegenerative disease with complex, heterogeneous motor and non-motor symptoms. The current evidence shows that there is still a marked heterogeneity in the subtyping of Parkinson's disease using both clinical and data-driven approaches. Another challenge posed in PD subtyping is the reproducibility of previously identified PD subtypes. These issues require additional results to confirm previous findings and help reconcile discrepancies, as well as establish a standardized application of cluster analysis to facilitate comparison and reproducibility of identified PD subtypes. Our study aimed to address this gap by investigating subtypes of Parkinson's disease using comprehensive clinical (motor and non-motor features) data retrieved from 408 de novo Parkinson's disease patients with the complete clinical data in the Parkinson's Progressive Marker Initiative database. A standardized k-means cluster analysis approach was developed by taking into consideration of common practice and recommendations from previous studies. All data analysis codes were made available online to promote data comparison and validation of reproducibility across research groups. We identified two distinct PD subtypes, termed the severe motor-non-motor subtype (SMNS) and the mild motor- non-motor subtype (MMNS). SMNS experienced symptom onset at an older age and manifested more intense motor and non-motor symptoms than MMNS, who experienced symptom onset at a younger age and manifested milder forms of Parkinson's symptoms. The SPECT imaging makers supported clinical findings such that the severe motor-non-motor subtype showed lower binding values than the mild motor- non-motor subtype, indicating more significant neural damage at the nigral pathway. In addition, SMNS and MMNS show distinct motor (ANCOVA test: F = 47.35, p< 0.001) and cognitive functioning (F = 33.93, p< 0.001) progression trends. Such contrast between SMNS and MMNS in both motor and cognitive functioning can be consistently observed up to 3 years following the baseline visit, demonstrating the potential prognostic value of identified PD subtypes.