ArticleFrontiers in molecular neuroscience2013
Small RNA sequencing-microarray analyses in Parkinson leukocytes reveal deep brain stimulation-induced splicing changes that classify brain region transcriptomes.
Article in Frontiers in molecular neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers, 2 of them syntheses that pooled it.
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Who cites it
62 citing papers in PubMed, 2 syntheses or guidelines pooled it, 123 citations in OpenAlex.
- The Role of miRNAs in Parkinson's Disease: A Systematic Review.International journal of molecular sciences · 2025Pooled it
- MicroRNAs in Parkinson's disease: a systematic review and diagnostic accuracy meta-analysis.Scientific reports · 2023Pooled it
- Integrative multi-omics and network-based machine learning for early diagnosis of Parkinson's disease.PloS one · 2026Article
- Cortical Stimulation-Based Transcriptome Shifts on Parkinson's Disease Animal Model.ASN neuro · 2025Article
- Cohort-specific boolean models highlight different regulatory modules during Parkinson's disease progression.iScience · 2024Article
- MicroRNA biomarkers as next-generation diagnostic tools for neurodegenerative diseases: a comprehensive review.Frontiers in molecular neuroscience · 2024Review
- Data Mining of Microarray Datasets in Translational Neuroscience.Brain sciences · 2023Review
- Dysregulated miRNAs as Biomarkers and Therapeutical Targets in Neurodegenerative Diseases.Journal of personalized medicine · 2022Review
- Article
- Significant modulations of linc001128 and linc0938 with miR-24-3p and miR-30c-5p in Parkinson disease.Scientific reports · 2022Article
- Multi-omic landscaping of human midbrains identifies disease-relevant molecular targets and pathways in advanced-stage Parkinson's disease.Clinical and translational medicine · 2022Article
- Article
- The role of noncoding RNAs in Parkinson's disease: biomarkers and associations with pathogenic pathways.Journal of biomedical science · 2021Review
- Elevated plasma miR-133b and miR-221-3p as biomarkers for early Parkinson's disease.Scientific reports · 2021Article
- Differentially Expressed Circular RNAs in Peripheral Blood Mononuclear Cells of Patients with Parkinson's Disease.Movement disorders : official journal of the Movement Disorder Society · 2021Article
- Article
- Mechanisms of Neurodegeneration in Various Forms of Parkinsonism-Similarities and Differences.Cells · 2021Review
- Comprehensive miRNome-Wide Profiling in a Neuronal Cell Model of Synucleinopathy Implies Involvement of Cell Cycle Genes.Frontiers in cell and developmental biology · 2021Article
- Non-Coding RNAs in the Brain-Heart Axis: The Case of Parkinson's Disease.International journal of molecular sciences · 2020Review
- Noncoding RNAs and Midbrain DA Neurons: Novel Molecular Mechanisms and Therapeutic Targets in Health and Disease.Biomolecules · 2020Review
2 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
MicroRNAs (miRNAs) are key post transcriptional regulators of their multiple target genes. However, the detailed profile of miRNA expression in Parkinson's disease, the second most common neurodegenerative disease worldwide and the first motor disorder has not been charted yet. Here, we report comprehensive miRNA profiling by next-generation small-RNA sequencing, combined with targets inspection by splice-junction and exon arrays interrogating leukocyte RNA in Parkinson's disease patients before and after deep brain stimulation (DBS) treatment and of matched healthy control volunteers (HC). RNA-Seq analysis identified 254 miRNAs and 79 passenger strand forms as expressed in blood leukocytes, 16 of which were modified in patients pre-treatment as compared to HC. 11 miRNAs were modified following brain stimulation 5 of which were changed inversely to the disease induced changes. Stimulation cessation further induced changes in 11 miRNAs. Transcript isoform abundance analysis yielded 332 changed isoforms in patients compared to HC, which classified brain transcriptomes of 47 PD and control independent microarrays. Functional enrichment analysis highlighted mitochondrion organization. DBS induced 155 splice changes, enriched in ubiquitin homeostasis. Cellular composition analysis revealed immune cell activity pre and post treatment. Overall, 217 disease and 74 treatment alternative isoforms were predictably targeted by modified miRNAs within both 3' and 5' untranslated ends and coding sequence sites. The stimulation-induced network sustained 4 miRNAs and 7 transcripts of the disease network. We believe that the presented dynamic networks provide a novel avenue for identifying disease and treatment-related therapeutic targets. Furthermore, the identification of these networks is a major step forward in the road for understanding the molecular basis for neurological and neurodegenerative diseases and assessment of the impact of brain stimulation on human diseases.
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Registered trials
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