ArticleScientific reports2022
Epithelial-mesenchymal transition related genes in unruptured aneurysms identified through weighted gene coexpression network analysis.
Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 16 citations in OpenAlex.
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- Peripheral Choroid/RPE/Sclera as a Shared Pathogenic Hub: Multi-Tissue Transcriptomic Profiling Identifies Common Differentially Expressed Genes in Age-Related Macular Degeneration and Alzheimer's Disease.Molecular neurobiology · 2025Article
- Kisspeptin-10 Prevents the Development of Cerebral Aneurysms by Reducing the Expression of Egr-1.CNS neuroscience & therapeutics · 2025Article
- Molecular mechanisms of endothelial-mesenchymal transition and its pathophysiological feature in cerebrovascular disease.Cell & bioscience · 2025Review
- Development of machine learning models for diagnostic biomarker identification and immune cell infiltration analysis in PCOS.Journal of ovarian research · 2025Article
- A Transcriptomic Comparative Study of Cranial Vasculature.Translational stroke research · 2024Article
- Presence of onco-fetal neighborhoods in hepatocellular carcinoma is associated with relapse and response to immunotherapy.Nature cancer · 2024Article
- Integrated analysis of single-cell sequencing and machine learning identifies a signature based on monocyte/macrophage hub genes to analyze the intracranial aneurysm associated immune microenvironment.Frontiers in immunology · 2024Article
- Plasma SPARC Elevation in Delayed Cerebral Ischemia After Aneurysmal Subarachnoid Hemorrhage.Neurotherapeutics : the journal of the American Society for Experimental NeuroTherapeutics · 2023Article
- Review
- Identification of key potassium channel genes of temporal lobe epilepsy by bioinformatics analyses and experimental verification.Frontiers in neurology · 2023Article
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Intracranial aneurysm (IA) can cause fatal subarachnoid hemorrhage (SAH) after rupture, and identifying patients with unruptured IAs is essential for reducing SAH fatalities. The epithelial-mesenchymal transition (EMT) may be vital to IA progression. Here, identified key EMT-related genes in aneurysms and their pathogenic mechanisms via bioinformatic analysis. The GSE13353, GSE75436, and GSE54083 datasets from Gene Expression Omnibus were analyzed with limma to identify differentially expressed genes (DEGs) among unruptured aneurysms, ruptured aneurysms, and healthy samples. The results revealed that three EMT-related DEGs (ADIPOQ, WNT11, and CCL21) were shared among all groups. Coexpression modules and hub genes were identified via weighted gene co-expression network analysis, revealing two significant modules (red and green) and 14 EMT-related genes. Gene Ontology and Kyoto Encyclopedia of Genes and Genomes pathway analyses suggested that cytokine interactions were closely related. Gene set enrichment analysis revealed that unruptured aneurysms were enriched for the terms "inflammatory response" and "vascular endothelial growth". Protein-protein interaction analysis identified seven key genes, which were evaluated with the GSE54083 dataset to determine their sensitivity and specificity. In the external validation set, we verified the differential expression of seven genes in unruptured aneurysms and normal samples. Together, these findings indicate that FN1, and SPARC may help distinguish normal patients from patients with asymptomatic IAs.
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