ArticleInternational journal of molecular sciences2022
Overlap between Central and Peripheral Transcriptomes in Parkinson's Disease but Not Alzheimer's Disease.
Article in International journal of molecular sciences, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed, 14 citations in OpenAlex.
- Profiling peripheral immune cells in Parkinson's disease: A scoping review.Journal of Parkinson's disease · 2026Review
- Role of STX1A in Parkinson's disease: evidence, mechanistic hypotheses, and translational perspectives.Frontiers in aging neuroscience · 2026Review
- Alpha synuclein and inflammaging.Heliyon · 2025Review
- RNA Analysis of Circulating Leukocytes in Patients with Alzheimer's Disease.Journal of Alzheimer's disease : JAD · 2024Article
- The role of Nurr1-miR-30e-5p-NLRP3 axis in inflammation-mediated neurodegeneration: insights from mouse models and patients' studies in Parkinson's disease.Journal of neuroinflammation · 2023Article
- Integrative multi-omics and systems bioinformatics in translational neuroscience: A data mining perspective.Journal of pharmaceutical analysis · 2023Review
- Striatal Syntaxin 1A Is Associated with Development of Tourette Syndrome in an Iminodipropionitrile-Induced Animal Model.Disease markers · 2022Article
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
Most neurodegenerative disorders take decades to develop, and their early detection is challenged by confounding non-pathological ageing processes. Therefore, the discovery of genes and molecular pathways in both peripheral and brain tissues that are highly predictive of disease evolution is necessary. To find genes that influence Alzheimer's disease (AD) and Parkinson's disease (PD) pathogenesis, human RNA-Seq transcriptomic data from Brodmann Area 9 (BA9) of the dorsolateral prefrontal cortex (DLPFC), whole blood (WB), and peripheral blood mononuclear cells (PBMC) were analysed using a combination of differential gene expression and a random forest-based machine learning algorithm. The results suggest that there is little overlap between PD and AD, and the AD brain signature is unique mainly compared to blood-based samples. Moreover, the AD-BA9 was characterised by changes in 'nervous system development' with Myocyte-specific enhancer factor 2C (
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Registered trials
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