Evidence map›Paper›PMID 38542526›Full record

ArticleInternational journal of molecular sciences2024

Plasma miR-203a-3p as a Novel Predictor of Dementia in Patients with Parkinson's Disease.

Ya-Fang Hsu, Shau-Ping Lin, Yung-Tsai Chu, Yi-Tzang Tsai, Jing-Wen Huang, Frederick Kin Hing Phoa, Ruey-Meei Wu

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 10% of its field
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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.

  1. The Role of miRNAs in Parkinson's Disease: A Systematic Review.International journal of molecular sciences · 2025
    Pooled it
  2. Review
  3. Article
  4. Article
  5. Review
  6. 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

7 authors at 4 institutions in 1 country.

Ya-Fang HsuGraduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei 100225, Taiwan.
Shau-Ping LinInstitute of Biotechnology, College of Bio-Resources and Agriculture, National Taiwan University, Taipei 106038, Taiwan.ORCID 0000-0003-3423-991X
Yung-Tsai ChuDepartment of Neurology, National Taiwan University Hospital, College of Medicine, National Taiwan University, Taipei 100225, Taiwan.ORCID 0000-0001-5817-460X
Yi-Tzang TsaiInstitute of Biotechnology, College of Bio-Resources and Agriculture, National Taiwan University, Taipei 106038, Taiwan.ORCID 0000-0002-2666-1443
Jing-Wen HuangInstitute of Statistics, National Tsing Hua University, Hsinchu 300044, Taiwan.ORCID 0000-0002-0525-8807
Frederick Kin Hing PhoaInstitute of Statistics, Academia Sinica, Taipei 115201, Taiwan.ORCID 0000-0002-7417-8982
Ruey-Meei WuGraduate Institute of Brain and Mind Sciences, College of Medicine, National Taiwan University, Taipei 100225, Taiwan.ORCID 0000-0002-4947-5467
National Taiwan University · TWInstitute of Statistical Science, Academia Sinica · TWNational Taiwan University Hospital · TWNational Tsing Hua University · TW

Funding

National Taiwan University 111-UN0007National Taiwan University Hospital 111-UN0007
6 · The paper itself

Abstract

The early detection of cognitive decline in Parkinson's disease is important for providing drug therapy and non-pharmacological management. The circulating microRNAs present in plasma are promising biomarkers of PD with dementia (PDD) due to their critical roles in synaptic plasticity and the regulation of neurodegeneration-associated proteins. In this study, we aimed to identify plasma microRNAs that may differentiate PD with or without cognitive impairment. Global microRNA expression was obtained from a discovery set of 123 participants who were divided into four groups, namely normal controls (HC), PD with no dementia (PDND), PD with mild cognitive impairment (PD-MCI), and PDD, using next-generation sequencing. The BOLD selector was used for microRNA candidate selection. Six miRNAs, namely miR-203a-3p, miR-626, miR-662, miR-3182, miR-4274, and miR-4295, were clustered as potential candidates for use in identifying PDND from PD-MCI. Another independent cohort of 120 participants was further recruited in a validation step in order to detect candidate microRNAs via droplet digital PCR (ddPCR), which was used for its high sensitivity in detecting low miRNA concentrations. Our results show that the ratio of miR-203a-3p/miR-16-5p, in which miR-16-5p was used as a reference control miRNA, was significantly increased in PDD compared to that seen in PD-MCI and PDND individually, and was negatively correlated with the MoCA scores (r = -0.237,

Indexed as

Circulating MicroRNADementiaMicroRNAsParkinson DiseaseBiomarkersHumansBiomarkersCirculating MicroRNAMicroRNAsMIRN4295 microRNA, humancognitive declinedroplet digital PCRmicroRNAParkinson’s diseaseplasma biomarker

Identifiers

PMID38542526
PMCPMC10970771
OpenAlexW4393040290

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.