Evidence map›Paper›PMID 41465589›Full record

SynthesisInternational journal of molecular sciences2025

The Role of miRNAs in Parkinson's Disease: A Systematic Review.

Michalis Chrysanthou, Christiana C Christodoulou, Eleni Zamba Papanicolaou

Abstract readSystematic Review
In one paragraph

Synthesis in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Identification and validation of Parkinson's disease relevant microRNAs in plasma extracellular vesicles.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026
    Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Michalis ChrysanthouNeuroepidemiology Department, The Cyprus Institute of Neurology and Genetics, Nicosia 2371, Cyprus.
Christiana C ChristodoulouNeuroepidemiology Department, The Cyprus Institute of Neurology and Genetics, Nicosia 2371, Cyprus.ORCID 0000-0002-6071-1715
Eleni Zamba PapanicolaouNeuroepidemiology Department, The Cyprus Institute of Neurology and Genetics, Nicosia 2371, Cyprus.

Funding

Telethon Cyprus TELETHON, Cyprus and The Cyprus Institute of Neurology and Genetics
6 · The paper itself

Abstract

Over the years, there has been extensive research conducted on Parkinson's Disease (PD), a neurodegenerative disorder known for causing motor impairment and behavioral changes. In more recent years, the roles of dysregulated microRNAs (miRNAs) in PD pathology have been studied in the hopes of developing new diagnostic methods or even treatments. This systematic review pinpoints and examines studies between 2010 and 2024 that have identified significant dysregulation of miRNAs in patients with PD. Upon filtering out the search results by a series of exclusion criteria, this review was conducted using 56 relevant studies. These studies revealed a vast array of significantly dysregulated miRNAs identified in the samples of patients with PD, when compared to healthy controls. A number of these miRNAs, such as miR-29c-3p, are likely biomarkers for more accurate PD diagnosis, and many, such as miR-485-3p, were found to be involved in PD pathogenesis. With further research, miRNAs could become a helpful diagnostic and prognostic tool for PD, with some of them even being candidate therapeutic targets for future treatments.

Indexed as

MicroRNAsParkinson DiseaseBiomarkersGene Expression RegulationHumansBiomarkersMicroRNAsbiomarkermiRNAParkinson’s Diseasesystematic review

Identifiers

PMID41465589
PMCPMC12733558

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.