Related Experiment Video
Updated: Dec 28, 2025

A Visual Description of the Dissection of the Cerebral Surface Vasculature and Associated Meninges and the Choroid Plexus from Rat Brain
Published on: November 14, 2012
Weighted gene co-expression network analysis identified six hub genes associated with rupture of intracranial
Qunhui Wang1, Qi Luo1, Zhongxi Yang1
1Department of Neurosurgery, The First Hospital of Jilin University, Changchun, Jilin, P. R. China.
Insights
Researchers identified key genes linked to ruptured intracranial aneurysms (IAs). These findings offer insights into IA progression and potential biomarkers for rupture risk assessment.
Area of Science:
- Neuroscience
- Genetics
- Molecular Biology
Background:
- Intracranial aneurysms (IAs) involve cerebral artery dilation and can lead to subarachnoid hemorrhage, increasing disability and mortality risks.
- Understanding the pathogenesis of ruptured IAs is crucial for improving patient outcomes and developing predictive tools.
Purpose of the Study:
- To investigate the molecular mechanisms underlying ruptured intracranial aneurysms (IAs).
- To identify potential hub genes that could serve as biomarkers for IA progression and rupture prediction.
Main Methods:
- Reanalysis of GSE36791 and GSE73378 datasets from the National Center of Biotechnology Information Gene Expression Omnibus.
- Weighted gene co-expression network analysis to correlate gene sets with clinical features of IA rupture.
- Validation of potential biomarker gene expression using quantitative real-time PCR.
Main Results:
- Identification of 14 co-expression modules and 238 hub genes associated with intracranial aneurysms.
- Three specific modules (turquoise, blue, brown) showed a strong correlation with IA rupture events.
- Six candidate biomarkers (BASP1, CEBPB, ECHDC2, GZMK, KLHL3, SLC2A3) were identified as significantly associated with IA progression and rupture.
Conclusions:
- The study provides novel insights into the molecular pathogenesis of intracranial aneurysms.
- Identified hub genes, particularly BASP1, CEBPB, ECHDC2, GZMK, KLHL3, and SLC2A3, show potential as biomarkers for monitoring IA rupture risk.
Abstract:
Intracranial aneurysms (IAs) are characterized by localized dilation or ballooning of a cerebral artery. When IAs rupture, blood leaks into the space around the brain to create a subarachnoid hemorrhage. The latter is associated with a higher risk of disability and mortality. The aims of this study were to gain greater insight into the pathogenesis of ruptured IAs, and to clarify whether identified hub genes represent potential biological markers for assessing the likelihood of IA progression and rupture. Briefly, the GSE36791 and GSE73378 datasets from the National Center of Biotechnology Information Gene Expression Omnibus database were reanalyzed and subjected to a weighted gene co-expression network analysis to test the association between gene sets and clinical features. The clinical significance of these genes as potential biomarkers was also examined, with their expression validated by quantitative real-time PCR. A total of 14 co-expression modules and 238 hub genes were identified. In particular, three modules (labeled turquoise, blue, and brown) were found to highly correlate with IA rupture events. Additionally, six potential biomarkers were identified (BASP1, CEBPB, ECHDC2, GZMK, KLHL3, and SLC2A3), which are strongly associated with the progression and rupture of IAs. Taken together, these findings provide novel insights into potential molecular mechanisms responsible for IAs and they highlight the potential for these particular genes to serve as biomarkers for monitoring IA rupture.
Related Concept Videos
Aneurysm I: Introduction
Aneurysm II: Clinical Manifestations and Diagnostic Studies
Genome-wide Association Studies-GWAS
GWAS does not require the identification of the target gene involved in...
Protein Networks
These interactions can be represented through maps depicting protein-protein interaction networks, represented as nodes and edges. Nodes are circles that are representative of a protein,...
Protein Networks
Mechanism of Angiogenesis
