Validation of differentially expressed brain‐enriched microRNAs in the plasma of PD patients Article Swipe
Stylianos Ravanidis
,
Anastasia Bougea
,
Nikolaos Papagiannakis
,
Christos Koros
,
Athina Maria Simitsi
,
Ioanna Pachi
,
Marianthi Breza
,
Leonidas Stefanis
,
Epaminondas Doxakis
·
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1002/acn3.51146
YOU?
·
· 2020
· Open Access
·
· DOI: https://doi.org/10.1002/acn3.51146
Objective There is a pressing need to identify and validate, minimally invasive, molecular biomarkers that will complement current practices and increase the diagnostic accuracy in Parkinson’s disease (PD). Brain‐enriched miRNAs regulate all aspects of neuron development and function; importantly, they are secreted by neurons in amounts that can be readily detected in the plasma. Τhe aim of the present study was to validate a set of previously identified brain‐enriched miRNAs with diagnostic potential for idiopathic PD and recognize the molecular pathways affected by these deregulated miRNAs. Methods RT‐qPCR was performed in the plasma of 92 healthy controls and 108 idiopathic PD subjects. Statistical and in silico analyses were used to validate deregulated miRNAs and pathways in PD, respectively. Results miR‐22‐3p, miR‐124‐3p, miR‐136‐3p, miR‐154‐5p, and miR‐323a‐3p levels were found to be differentially expressed between healthy controls and PD patients. miR‐330‐5p, miR‐433‐3p, and miR‐495‐3p levels were overall higher in male subjects. Most of these miRNAs are clustered at Chr14q32 displaying CREB1, CEBPB, and MAZ transcription factor binding sites. Gene Ontology annotation analysis of deregulated miRNA targets revealed that “Protein modification,” “Transcription factor activity,” and “Cell death” terms were over‐represented. Kyoto Encyclopedia of Genes and Genome analysis revealed that “Long‐term depression,” “TGF‐beta signaling,” and “FoxO signaling” pathways were significantly affected. Interpretation We validated a panel of brain‐enriched miRNAs that can be used along with other measures for the detection of PD, revealed molecular pathways targeted by these deregulated miRNAs, and identified upstream transcription factors that may be directly implicated in PD pathogenesis.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/acn3.51146
- https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/acn3.51146
- OA Status
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- Cited By
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- References
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- Related Works
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- OpenAlex ID
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All OpenAlex metadata
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https://openalex.org/W3082660258Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/acn3.51146Digital Object Identifier
- Title
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Validation of differentially expressed brain‐enriched microRNAs in the plasma of PD patientsWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2020Year of publication
- Publication date
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2020-08-29Full publication date if available
- Authors
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Stylianos Ravanidis, Anastasia Bougea, Nikolaos Papagiannakis, Christos Koros, Athina Maria Simitsi, Ioanna Pachi, Marianthi Breza, Leonidas Stefanis, Epaminondas DoxakisList of authors in order
- Landing page
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https://doi.org/10.1002/acn3.51146Publisher landing page
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/acn3.51146Direct link to full text PDF
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://onlinelibrary.wiley.com/doi/pdfdirect/10.1002/acn3.51146Direct OA link when available
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Medicine, microRNA, Computational biology, Bioinformatics, Gene, Genetics, BiologyTop concepts (fields/topics) attached by OpenAlex
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69Total citation count in OpenAlex
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2025: 9, 2024: 28, 2023: 10, 2022: 6, 2021: 13Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| corresponding_institution_ids | https://openalex.org/I206127235 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.699999988079071 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.91761417 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | True |