Key result
Bioinformatics analysis identifies 20 key inflammatory hub genes distinguishing acute MI from unstable angina.
Why the study?
ACS is a complex syndrome, and identifying differentially expressed genes and biological pathways between AMI and UA could help accurately diagnose the disease type.
Observational (n=78)
Integrated bioinformatics analysis identified 20 key differentially expressed genes between acute myocardial infarction and unstable angina, highlighting the role of inflammatory and neuroactive pathways in acute coronary syndromes.
These hub genes merit prospective validation as biomarkers; extends transcriptomic profiling of inflammatory pathways in ACS.
Acute coronary syndrome (ACS) is a complex syndrome of clinical symptoms. In order to accurately diagnose the type of disease in ACS patients, this study is aimed at exploring the differentially expressed genes (DEGs) and biological pathways between acute myocardial infarction (AMI) and unstable angina (UA). The GSE29111 and GSE60993 datasets containing microarray data from AMI and UA patients were downloaded from the Gene Expression Omnibus (GEO) database. DEG analysis of these 2 datasets is performed using the "limma" package in R software. DEGs were also analyzed using protein-protein interaction (PPI), Molecular Complex Detection (MCODE) algorithm, Gene Ontology (GO), and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis. Correlation analysis and "cytoHubba" were used to analyze the hub genes. A total of 286 DEGs were obtained from GSE29111 and GSE60993, including 132 upregulated genes and 154 downregulated genes. Subsequent comprehensive analysis identified 20 key genes that may be related to the occurrence and development of AMI and UA and were involved in the inflammatory response, interaction of neuroactive ligand-receptor, calcium signaling pathway, inflammatory mediator regulation of TRP channels, viral protein interaction with cytokine and cytokine receptor, human cytomegalovirus infection, and cytokine-cytokine receptor interaction pathway. The integrated bioinformatical analysis could improve our understanding of DEGs between AMI and UA. The results of this study might provide a new perspective and reference for the early diagnosis and treatment of ACS.
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Guo et al. (2021) conducted an observational in Acute Myocardial Infarction and Unstable Angina (n=78). Acute Myocardial Infarction vs. Unstable Angina was evaluated on Differentially expressed genes (DEGs) and key hub genes. Integrated bioinformatics analysis identified 286 differentially expressed genes and 20 key hub genes between acute myocardial infarction and unstable angina, primarily linked to inflammatory responses.
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