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Published on: November 2, 2013
Identification of biomarkers in macrophages of atherosclerosis by microarray analysis
He-Ming Huang1, Xin Jiang1, Meng-Lei Hao2
1Geriatric Department, Shenzhen People's Hospital, The Second Clinical Medical College of Jinan University, The First Affiliated Hospital of Southern University of Science and Technology, Shenzhen, 518020, People's Republic of China.
Insights
This study identified key genes in macrophages involved in atherosclerosis (AS). These differentially expressed genes and hub genes, like KDELR3, CD55, and DYNC2H1, may serve as novel biomarkers for atherosclerotic cardiovascular disease (ASCVD).
Area of Science:
- Biomedical research
- Cardiovascular science
- Genomics
Background:
- Atherosclerotic cardiovascular disease (ASCVD) is a major global cause of death.
- Macrophages are critical in atherosclerosis (AS) development, but their specific targets remain unclear.
- This study focuses on identifying molecular targets within AS macrophages.
Purpose of the Study:
- To screen and identify molecular targets in AS macrophages using bioinformatics.
- To understand the role of macrophages in AS pathogenesis.
Main Methods:
- Utilized Gene Expression Omnibus datasets (GSE7074, GSE9874) to identify differentially expressed genes (DEGs) in AS macrophages.
- Performed functional annotation using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases.
- Constructed a protein-protein interaction network and identified hub genes using STRING and Cytoscape.
Main Results:
- Identified 98 DEGs between non-AS and AS macrophages.
- Enriched functions included response to hypoxia, respiratory gaseous exchange, and protein binding.
- Discovered three hub genes: KDELR3, CD55, and DYNC2H1.
Conclusions:
- The identified DEGs and hub genes show potential as diagnostic and therapeutic biomarkers for AS.
- These findings contribute to understanding macrophage-driven AS.
- Further validation of KDELR3, CD55, and DYNC2H1 in AS is warranted.
Background:
Atherosclerotic cardiovascular disease (ASCVD) refers to a series of diseases caused by atherosclerosis (AS). It is one of the most important causes of death worldwide. According to the inflammatory response theory, macrophages play a critical role in AS. However, the potential targets associated with macrophages in the development of AS are still obscure. This study aimed to use bioinformatics tools for screening and identifying molecular targets in AS macrophages.
Methods:
Two expression profiling datasets (GSE7074 and GSE9874) were obtained from the Gene Expression Omnibus dataset, and differentially expressed genes (DEGs) between non-AS macrophages and AS macrophages were identified. Functional annotation of the DEGs was performed by analyzing the Gene Ontology and Kyoto Encyclopedia of Genes and Genomes databases. STRING and Cytoscape were employed for constructing a protein-protein interaction network and analyzing hub genes.
Results:
A total of 98 DEGs were distinguished between non-AS macrophages and AS macrophages. The functional variations in DEGs were mainly enriched in response to hypoxia, respiratory gaseous exchange, protein binding, and intracellular, ciliary tip, early endosome membrane, and Lys63-specific deubiquitinase activities. Three genes were identified as hub genes, including KDELR3, CD55, and DYNC2H1.
Conclusion:
Hub genes and DEGs identified by using microarray techniques can be used as diagnostic and therapeutic biomarkers for AS.
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