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Profiles of microRNA in cerebrospinal fluid could be potential biomarkers for identifying motor subtype of Parkinson’s disease

W. Jang (Gangneung, Republic of Korea)

Meeting: 2018 International Congress

Abstract Number: 1670

Keywords: Parkinsonism

Session Information

Date: Monday, October 8, 2018

Session Title: Parkinson's Disease: Pathophysiology

Session Time: 1:15pm-2:45pm

Location: Hall 3FG

Objective: We investigated CSF miRNA expression in PD and control subjects. We also evaluated if specific miRNA were differently expressed according to motor subtype of PD.

Background: Subtyping of Parkinson’s disease (PD) is a considerable topic for understanding pathophysiology, predicting prognosis, and providing personalized treatment in PD patients. However, there is yet no clear way for categorizing PD and usually, subtyping of PD is dependent on clinical findings. Recently, expression of microRNA (miRNA) which is small non-coding RNA was reported as potential biomarkers for neurodegenerative disease and altered expression of specific miRNA reflects its own pathogenic mechanism. Therefore, we hypothesized that analysis of miRNA expression in cerebrospinal fluid of PD subjects could help identifying of motor subtype of PD, if each subtype has different molecular pathway dysregulation associated with pathogenesis.

Methods: We enrolled 42 early drug naïve PD patients and 16 control subjects. Clinical motor subtype was categorized by previous eligible criteria and into 3 subgroup {Tremor dominant (TD) , Mixed, and Akinetic rigid(AR) type}. RNA was extracted from CSF of all subjects. Next, RNA was RNA purity and integrity were evaluated by ND-1000 Spectrophotometer (NanoDrop, Wilmington, USA), Agilent 2100 Bioanalyzer (Agilent Technologies, Palo Alto, USA) and The Affymetrix Genechip miRNA 4.0 array process was executed according to the manufacturer’s protocol. Raw data were extracted automatically in Affymetrix data extraction protocol. Initially, the comparative analysis between test sample and control sample was carried out and pattern analysis for clustering was also performed. Bioinformatic analysis including gene ontology analysis and pathway analysis using KEGG database were subsequently carried out.

Results: Fifteen miRNAs were differentially expressed between PD and control subjects. 3 miRNA were upregulated and 12 miRNA were downregulated. In subgroup analysis, miR-6791-5p was especially differentially expressed between TD and AR type. miR-3613-3p, miR-4668-5p, and miR-6880-5p were differently expressed between mixed and other subgroup types. In gene ontology and pathway analysis, different molecular pathway was involved in each subtype.

Conclusions: Our results support the some kinds of miRNA panels as potential biomarkers for motor subtyping of PD and may provide possibility that different pathological mechanisms could be associated with each motor subtype.

To cite this abstract in AMA style:

W. Jang. Profiles of microRNA in cerebrospinal fluid could be potential biomarkers for identifying motor subtype of Parkinson’s disease [abstract]. Mov Disord. 2018; 33 (suppl 2). https://www.mdsabstracts.org/abstract/profiles-of-microrna-in-cerebrospinal-fluid-could-be-potential-biomarkers-for-identifying-motor-subtype-of-parkinsons-disease/. Accessed June 14, 2025.
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