ArticleFrontiers in neurology2022
Bioinformatic identification of potential biomarkers and therapeutic targets in carotid atherosclerosis and vascular dementia.
Article in Frontiers in neurology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 11 citations in OpenAlex.
- miR-567 indicates atherosclerosis development and regulates inflammation, phenotype switch, proliferation, and migration of platelet-derived growth factor (PDGF)-BB-induced vascular smooth muscle cells (VSMCs) via CSF1R.Journal of molecular histology · 2026Article
- Knockdown of PDPN in astrocytes reduces hippocampal inflammation in T2DM mice.Frontiers in immunology · 2025Article
- Plasma acellular transcriptome contains Parkinson's disease signatures that can inform clinical diagnosis.medRxiv : the preprint server for health sciences · 2024Article
- Bioinformatic Identification of Signaling Pathways and Hub Genes in Vascular Dementia.Actas espanolas de psiquiatria · 2024Article
- Two ferroptosis-specific expressed genes NOX4 and PARP14 are considered as potential biomarkers for the diagnosis and treatment of diabetic retinopathy and atherosclerosis.Diabetology & metabolic syndrome · 2024Article
- Cross-disease transcriptomic analysis reveals DOK3 and PAPOLA as therapeutic targets for neuroinflammatory and tumorigenic processes.Frontiers in immunology · 2024Article
- Article
- Multi-Omics Analysis of Circulating Exosomes in Adherent Long-Term Treated OSA Patients.International journal of molecular sciences · 2023Article
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Vascular disease is the second most common cause of dementia. The prevalence of vascular dementia (VaD) has increased over the past decade. However, there are no licensed treatments for this disease. Carotid atherosclerosis (CAS) is highly prevalent and is the main cause of ischemic stroke and VaD. We studied co-expressed genes to understand the relationships between CAS and VaD and further reveal the potential biomarkers and therapeutic targets of CAS and VaD. Methods: CAS and VaD differentially expressed genes (DEGs) were identified through bioinformatic analysis Gene Expression Omnibus (GEO) datasets GSE43292 and GSE122063, respectively. Furthermore, a variety of target prediction methods and network analysis approaches were used to assess the protein-protein interaction (PPI) networks, the Gene Ontology (GO) terms, and the pathway enrichment for DEGs, and the top 7 hub genes, coupled with corresponding predicted miRNAs involved in CAS and VaD, were assessed as well. Result: A total of 60 upregulated DEGs and 159 downregulated DEGs were identified, of which the top 7 hub genes with a high degree of connectivity were selected. Overexpression of these hub genes was associated with CAS and VaD. Finally, the top 7 hub genes were coupled with corresponding predicted miRNAs. hsa-miR-567 and hsa-miR-4652-5p may be significantly associated with CAS and VaD.
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