ArticleNeuropathology and applied neurobiology2023
Dysregulation of miR-543 in Parkinson's disease: Impact on the neuroprotective gene SIRT1.
Article in Neuropathology and applied neurobiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 2 of them syntheses that pooled it.
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Who cites it
11 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Potential protein blood-based biomarkers for cognitive dysfunction in Parkinson's disease: a systematic review and network meta-analysis.Frontiers in aging neuroscience · 2026Pooled it
- The Role of miRNAs in Parkinson's Disease: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- Oxidative Stress-Related Serum Extracellular Vesicle miRNAs Indicate Symptom Severity and Cognitive Decline in Parkinson's Disease.Journal of neurochemistry · 2026Article
- MicroRNA-361-3p Regulates Autophagy and Apoptotic Processes by Regulating PI3K/Akt Signaling in Parkinson's Disease.Neurochemical research · 2025Article
- Unlocking Parkinson's disease: the role of microRNAs in regulation, diagnosis, and therapy.Apoptosis : an international journal on programmed cell death · 2025Review
- Advancing Ischemic Stroke Prognosis: Key Role of MiR-155 Non-Coding RNA.International journal of molecular sciences · 2025Review
- SIRT1, a target of miR-708-3p, alleviates fluoride-induced neuronal damage via remodeling mitochondrial network dynamics.Journal of advanced research · 2024Article
- Involvement of extracellular vesicle microRNA clusters in developing healthy and Rett syndrome brain organoids.Cellular and molecular life sciences : CMLS · 2024Article
- An Overview of Epigenetic Changes in the Parkinson's Disease Brain.International journal of molecular sciences · 2024Review
- Non-coding RNAs in disease: from mechanisms to therapeutics.Nature reviews. Genetics · 2024Review
- Dysregulation of miR-543 in Parkinson's disease: Impact on the neuroprotective gene SIRT1.Neuropathology and applied neurobiology · 2023Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
aimsParkinson's disease (PD) is a progressive and age-dependent neurodegenerative disease characterised clinically by a variety of motor symptoms and cognitive impairment. PD was initially considered to be a grey matter disease; however, recently, evidence has emerged that white matter changes in PD precede the neuronal loss seen in the grey matter. The cause of these initial white matter changes is yet to be elucidated. Here, we explored whether dysregulated miRNAs and their target mRNA could provide insight into the underlying mechanisms of early white matter changes in PD.
methodsWe analysed the expression of miRNAs in three different stages of PD through RNA-sequencing and validated the differential expression of miRNAs through quantitative reverse transcription polymerase chain reaction. With bioinformatic analyses, we predicted target genes of dysregulated miRNAs and investigated their biomarker potential. Finally, in vitro, we confirmed the targetting of the gene SIRT1 by miR-543.
resultsWe identified 12 dysregulated miRNAs in PD and found that miR-543 holds potential as a biomarker for late-stage PD with dementia. We report upregulation of miR-543 in early PD white matter tissue and downregulation of SIRT1. In vitro experiments showed that the upregulation of miR-543 results in the downregulation of SIRT1 in the white matter, but not in the grey matter.
conclusionsWe validated SIRT1 as a target of miR-543 in the brain and showed its function as a potential biomarker. Our results highlight the idea that dysregulation of miR-543 in early PD white matter, resulting in the dysregulation of SIRT1, potentially influencing the early white matter changes observed in PD.
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Registered trials
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.