한빛사논문
Seong Ho Jeong 1,2, Chae Jung Park 3, Hyun-Jae Jeong 4, Mun Kyung Sunwoo 5, Sung Soo Ahn 6, Seung-Koo Lee 6, Phil Hyu Lee 2, Yun Joong Kim 2,7,8, Young Ho Sohn 2, Seok Jong Chung 2,7,8*
1Department of Neurology, Inje University Sanggye Paik Hospital, Seoul, Korea (the Republic of).
2Department of Neurology, Yonsei University College of Medicine, Seoul, Korea (the Republic of).
3Department of Radiology, Yongin Severance Hospital, Yonsei University Health System, Yongin, Geyonggi-do, Korea (the Republic of).
4Research Institute of Center for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea (the Republic of).
5Department of Neurology, Daejin Medical Foundation Bundang Jesaeng Hospital, Seongnam, Gyeonggi-do, Korea (the Republic of).
6Department of Radiology, Severance Hospital, Research Institute of Radiological Science and Centre for Clinical Imaging Data Science, Yonsei University College of Medicine, Seoul, Korea (the Republic of).
7Department of Neurology, Yongin Severance Hospital, Yonsei University Health System, Yongin, Gyeonggi-do, Korea (the Republic of).
8YONSEI BEYOND LAB, Yongin, Gyeonggi-do, South Korea.
SHJ and CJP are joint first authors.
*Correspondence to Dr Seok Jong Chung
Abstract
Background: The choroid plexus (CP) is involved in the clearance of harmful metabolites from the brain, as a part of the glymphatic system. This study aimed to investigate the association between CP volume (CPV), nigrostriatal dopaminergic degeneration and motor outcomes in Parkinson's disease (PD).
Methods: We retrospectively searched drug-naïve patients with early-stage PD who underwent dopamine transporter (DAT) scanning and MRI. Automatic CP segmentation was performed, and the CPV was calculated. The relationship between CPV, DAT availability and Unified PD Rating Scale Part III (UPDRS-III) scores was assessed using multivariate linear regression. We performed longitudinal analyses to assess motor outcomes according to CPV.
Results: CPV was negatively associated with DAT availability in each striatal subregion (anterior caudate, β=-0.134, p=0.012; posterior caudate, β=-0.162, p=0.002; anterior putamen, β=-0.133, p=0.024; posterior putamen, β=-0.125, p=0.039; ventral putamen, β=-0.125, p=0.035), except for the ventral striatum. CPV was positively associated with the UPDRS-III score even after adjusting for DAT availability in the posterior putamen (β=0.121; p=0.035). A larger CPV was associated with the future development of freezing of gait in the Cox regression model (HR 1.539, p=0.027) and a more rapid increase in dopaminergic medication in the linear mixed model (CPV×time, p=0.037), but was not associated with the risk of developing levodopa-induced dyskinesia or wearing off.
Conclusion: These findings suggest that CPV has the potential to serve as a biomarker for baseline and longitudinal motor disabilities in PD.
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