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Updated: Jun 14, 2025
Cerebrospinal Fluid MicroRNA Profiling Using Quantitative Real Time PCR
Published on: January 22, 2014
Circulating microRNAs as potential biomarkers for the diagnosis of Parkinson's disease: A meta-analysis
W T Zhang1, Y J Wang2, Y F Yao2
1Xi'an Daxing Hospital, Shaanxi, China; International Doctoral School, University of Seville, Seville, Spain.
Background And Objective:
Parkinson's disease (PD) is the one of the most common neurodegenerative diseases. Many investigators have confirmed the possibility of using circulating miRNAs to diagnose PD. However, the results were inconsistent. Therefore, the aim of this meta-analysis was to systematically evaluate the diagnostic accuracy of circulating miRNAs in the diagnosis of PD.
Methods:
We carefully searched PubMed, Embase, Web of Science, Cochrane Library, Wanfang database and China National Knowledge Infrastructure for relevant studies (up to January 1, 2022) based on PRISMA statement. The pooled sensitivity, specificity, positive likelihood ratio (PLR), negative likelihood ratio (NLR), the diagnostic odds ratio (DOR), and area under the curve (AUC) were calculated to test the diagnostic accuracy. Furthermore, subgroup analyses were performed to identify the potential sources of heterogeneity, and the Deeks' funnel plot asymmetry test was used to evaluate the potential publication bias.
Results:
Forty-four eligible studies from 16 articles (3298 PD patients and 2529 healthy controls) were included in the current meta-analysis. The pooled sensitivity was 0.79 (95% CI: 0.76-0.81), specificity was 0.82 (95% CI: 0.78-0.84), PLR was 4.3 (95% CI: 3.6-5.0), NLR was 0.26 (95% CI: 0.23-0.30), DOR was 16 (95% CI: 13-21), and AUC was 0.87 (95% CI: 0.84-0.90). Subgroup analysis suggested that miRNA cluster showed a better diagnostic accuracy than miRNA simple. Moreover, there was no significant publication bias.
Conclusions:
Circulating miRNAs have great potential as novel non-invasive biomarkers for PD diagnosis.
Insights
Circulating microRNAs (miRNAs) show promise for diagnosing Parkinson's disease (PD). This meta-analysis confirms their potential as non-invasive biomarkers, with pooled accuracy metrics indicating reliable diagnostic capability.
Area of Science:
- Biomarkers
- Neurodegenerative Diseases
- Molecular Diagnostics
Background:
- Parkinson's disease (PD) is a common neurodegenerative disorder.
- Circulating microRNAs (miRNAs) are being investigated as potential diagnostic markers for PD.
- Existing studies show inconsistent results, necessitating a comprehensive evaluation.
Purpose of the Study:
- To systematically evaluate the diagnostic accuracy of circulating miRNAs for Parkinson's disease.
- To synthesize evidence from multiple studies using meta-analysis.
- To identify factors influencing diagnostic performance.
Main Methods:
- A systematic literature search was conducted across major databases (PubMed, Embase, Web of Science, etc.) up to January 2022.
- Meta-analysis was performed to calculate pooled sensitivity, specificity, positive and negative likelihood ratios, diagnostic odds ratio (DOR), and area under the curve (AUC).
- Subgroup analyses and Deeks' funnel plot asymmetry test were used to assess heterogeneity and publication bias.
Main Results:
- The meta-analysis included 44 studies with 3298 PD patients and 2529 controls.
- Pooled diagnostic accuracy: sensitivity 0.79, specificity 0.82, AUC 0.87.
- miRNA clusters demonstrated higher diagnostic accuracy than single miRNAs; no significant publication bias was found.
Conclusions:
- Circulating miRNAs exhibit significant potential as novel, non-invasive biomarkers for Parkinson's disease diagnosis.
- The findings support the use of circulating miRNAs in clinical settings for PD detection.
- Further research may focus on optimizing miRNA panels for improved diagnostic precision.
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