Evidence map›Paper›PMID 41327336›Full record

ArticleMolecular brain2025

Dysregulated circRNA-miRNA-mRNA networks reveal stage-specific mRNA expression changes in Parkinson's disease.

Yulan Gao, Konii Takenaka, Kristina Santucci, Grace Lindner, Si-Mei Xu, Yuning Cheng, Michael Janitz

Abstract read
In one paragraph

Article in Molecular brain, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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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

0 citing papers in PubMed.

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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

7 authors.

Yulan GaoSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
Konii TakenakaSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
Kristina SantucciSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
Grace LindnerSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
Si-Mei XuSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
Yuning ChengSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia.
Michael JanitzSchool of Biotechnology and Biomolecular Sciences, University of New South Wales, Sydney, NSW, 2052, Australia. m.janitz@unsw.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Parkinson's disease (PD) is a progressive neurodegenerative disorder marked by the loss of dopaminergic neurons and widespread transcriptomic dysregulation across disease stages. Patients commonly exhibit motor symptoms such as tremors, rigidity, and bradykinesia, alongside non-motor symptoms including depression and cognitive decline. While previous research has largely focused on protein-coding genes, growing attention is being directed toward the regulatory roles of non-coding RNAs in PD pathogenesis-particularly the interplay between circular RNAs (circRNAs) and microRNAs (miRNAs). Emerging evidence indicates that circRNAs can act as competing endogenous RNAs (ceRNAs), modulating gene expression by sequestering miRNAs and thereby mitigating miRNA-mediated repression of target mRNAs. In this study, we performed a dynamic transcriptomic analysis across four PD stages using RNA-seq data to identify differentially expressed circRNA-miRNA-mRNA networks. We constructed stage-specific ceRNA networks by selecting positively co-regulated circRNAs and linear transcripts that were co-expressed exclusively within the same disease stage. Among the upregulated circRNAs with predicted ceRNA activity, circPRDM2 and circHSH2D were identified as uniquely expressed in PD patients. Additionally, we assessed the coding potential of the predicted target genes to further elucidate the regulatory impact of circRNAs on mRNA expression. Our findings provide new insights into the post-transcriptional regulatory mechanisms involved in PD and highlight candidate stage-specific ceRNA axes that may serve as potential biomarkers or therapeutic targets.

Indexed as

Gene Expression RegulationGene Regulatory NetworksMicroRNAsParkinson DiseaseRNA, CircularRNA, MessengerGene Expression ProfilingHumansMicroRNAsRNA, CircularRNA, MessengerCACNG8circHSH2DcircPRDM2circRNA-miRNA-mRNAParkinson’s diseasePLXNB1RNA-seqUniquely expressed circRNAs

Identifiers

PMID41327336
PMCPMC12798134

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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.