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  4. Integrated Plasma and Neuroimaging Biomarkers Associated with Motor and Cognition Severity in Parkinson's Disease
 
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Integrated Plasma and Neuroimaging Biomarkers Associated with Motor and Cognition Severity in Parkinson's Disease

Journal
Journal of Parkinson's Disease
Journal Volume
10
Journal Issue
1
Pages
77-88
Date Issued
2020
Author(s)
CHIH-HAO CHEN  
BO-CHING LEE  
CHIN-HSIEN LIN  
DOI
10.3233/JPD-191766
URI
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85078454459&doi=10.3233%2fJPD-191766&partnerID=40&md5=8cadea38736b6acf9898ba31dab65c83
https://scholars.lib.ntu.edu.tw/handle/123456789/519996
Abstract
Background/Objective: Easily accessible biomarkers are crucial for disease-modifying clinical trials in patients with Parkinson's disease (PD). We investigated integrated plasma and neuroimaging biomarkers correlating with motor and cognitive severity in PD patients. Methods: This cross-sectional study enrolled 170 participants (12 controls and 158 PD patients). Plasma α-synuclein and neurofilament light chain (NfL) level, and global and regional cortical thickness (CTh) on brain MRI were analyzed to predict advanced motor stage (Hoehn Yahr stage ?3), and PD dementia (PDD, MMSE score <26). Results: Plasma α-synuclein and NfL levels were higher in PD patients than controls (both P < 0.0001 for α-synuclein and NfL). Plasma NfL levels were significantly elevated in patients with advanced motor stage (P = 0.008) or PDD; α-synuclein was elevated in the advanced motor stage group. Global CTh was thinner in patients with PDD than controls (2.33±0.19 mm vs 2.43±0.14 mm, P = 0.06). Among PD patients, higher α-synuclein was associated with thinner limbic CTh, whereas higher NfL was associated with thinner temporal CTh and insular CTh. The accuracy of predicting advanced motor stage using age and sex alone (area under the curve [AUC] 0.63) was significantly improved by the addition of plasma α-synuclein and NfL, and temporal and insula CTh (full model, AUC 0.77, P = 0.004). The accuracy of predicting PDD using age and sex alone (AUC 0.82) increased by incorporating plasma α-synuclein and NfL, and temporal and insula CTh as full model (AUC 0.87, P = 0.047). Conclusions: Integrated plasma and neuroimaging biomarkers reflect both motor and cognitive aspects of PD severity. ? 2020-IOS Press and the authors. All rights reserved.
SDGs

[SDGs]SDG3

Other Subjects
alpha synuclein; alpha synuclein; biological marker; neurofilament protein; neurofilament protein L; SNCA protein, human; adult; age; aged; Article; brain radiography; cognitive defect; controlled study; cortical thickness (brain); cross-sectional study; dementia; diagnostic accuracy; diagnostic test accuracy study; disease association; disease marker; disease severity; female; gender; Hoehn and Yahr scale; human; image analysis; insula; light chain; limbic system; major clinical study; male; middle aged; motor dysfunction; neurofilament; neuroimaging; nuclear magnetic resonance imaging; Parkinson disease; prediction; priority journal; protein blood level; receiver operating characteristic; sensitivity and specificity; Taiwan; temporal cortex; Unified Parkinson Disease Rating Scale; blood; brain cortex; cognitive defect; complication; dementia; diagnostic imaging; dyskinesia; pathophysiology; prognosis; severity of illness index; Aged; alpha-Synuclein; Biomarkers; Cerebral Cortex; Cognitive Dysfunction; Cross-Sectional Studies; Dementia; Dyskinesias; Female; Humans; Magnetic Resonance Imaging; Male; Middle Aged; Neurofilament Proteins; Parkinson Disease; Prognosis; Severity of Illness Index
Publisher
IOS Press
Type
journal article

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