MicroRNAs in Cerebrospinal Fluid as Potential Biomarkers for Parkinson’s Disease and Multiple System Atrophy
Open accessAbstract
Parkinson's disease (PD) and multiple system atrophy (MSA) are both part of the spectrum of neurodegenerative movement disorders and α-synucleinopathies with overlap of symptoms especially at early stages of the disease but with distinct disease progression and responses to dopaminergic treatment. Therefore, having biomarkers that specifically classify patients, which could discriminate PD from MSA, would be very useful. MicroRNAs (miRNAs) regulate protein translation and are observed in biological fluids, including cerebrospinal fluid (CSF), and may therefore have potential as biomarkers of disease. The aim of our study was to determine if miRNAs in CSF could be used as biomarkers for either PD or MSA. Using quantitative PCR (qPCR), we evaluated expression levels of 10 miRNAs in CSF patient samples from PD (n = 28), MSA (n = 17), and non-neurological controls (n = 28). We identified two miRNAs (miR-24 and miR-205) that distinguished PD from controls and four miRNAs that differentiated MSA from controls (miR-19a, miR-19b, miR-24, and miR-34c). Combinations of miRNAs accurately discriminated either PD (area under the curve (AUC) = 0.96) or MSA (AUC = 0.86) from controls. In MSA, we also observed that miR-24 and miR-148b correlated with cerebellar ataxia symptoms, suggesting that these miRNAs are involved in cerebellar degeneration in MSA. Our findings support the potential of miRNA panels as biomarkers for movement disorders and may provide more insights into the pathological mechanisms related to these disorders.
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The discrepancy between CSF biomarker studies may be in part due to the intrinsic variability of miRNA itself.
“Taken together, our data suggests that the discrepancy between CSF biomarker studies may be in part due to the intrinsic variability of miRNA itself43,44.”
From Intra- and Inter-individual Variability of microRNA Levels in Human Cerebrospinal Fluid: Critical Implications for Biomarker Discovery (2017) · cites this paper as [44]
The Discussion’s Study Limitations section (page not provided) says CSF miRNA measurements can vary across studies, citing sample processing, normalization methods, and qPCR variability. It does not identify intrinsic variability of miRNA itself as the cause of those discrepancies. (LLM, conf=0.82)
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Cited by
Sorted by citations
Role of circular RNAs in brain development and CNS diseases
Mehta, S. L., Dempsey, R. J., & Vemuganti, R. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101746 · Cited by 281 · see citing works
Yoon, H., Belmonte, K. C., Kasten, T., Bateman, R., & Kim, J. (2017) · Scientific Reports · doi:10.1038/s41598-017-13031-w · Cited by 26 · see citing works
- Authors
- Marques, T. M., Kuiperij, H. B., Bruinsma, I. B., van Rumund, A., Aerts, M. B., Esselink, R. A. J., Bloem, B. R., & Verbeek, M. M.
- Affiliations
- Radboud University Medical Center (NL)
- Radboud University Nijmegen (NL)
- Corresponding author
- Verbeek, Marcel M.
- Venue
- Molecular Neurobiology
- Published
- 2016-11-14
- Volume
- 54
- Issue
- 10
- Pages
- 7736-7745
- ISSN
- 0893-7648 (ISSN-L)
- 1559-1182
- PMC
- PMC5684261
- OpenAlex
- W2550142622
- Cited by
- 141
- References
- 2
- Citations by year
- 2026: 7 · 2025: 10 · 2024: 14 · 2023: 16 · 2022: 17 · 2021: 13 · 2020: 15 · 2019: 18 · 2018: 15 · 2017: 15
- FWCI
- 12.03
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Molecular Neurobiology (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Radboud Repository (Radboud University) (submittedVersion)
- Radboud Repository (Radboud University) (submittedVersion, other-oa)
- Funders
- Conselho Nacional de Desenvolvimento Científico e Tecnológico (249032/2013-9)
- Topics
- Health Sciences › Medicine › Neurology › Parkinson's Disease Mechanisms and Treatments
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › MicroRNA in disease regulation
- Life Sciences › Neuroscience › Neurology › Neuroinflammation and Neurodegeneration Mechanisms
- Keywords
- microRNA, cerebrospinal fluid, Parkinson's disease, multiple system atrophy, biomarkers, differential diagnosis, miR-24, miR-205, miR-19a, miR-19b, miR-34c, miR-148b, cerebellar ataxia, cerebellar degeneration, synucleinopathies, neurodegenerative movement disorders
- MeSH terms
- Aged, Female, Humans, Male, Middle Aged, Parkinson Disease, Biomarkers, Multiple System Atrophy, MicroRNAs
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