Genes associated with inflammation and the cell cycle may serve as biomarkers for the diagnosis and prognosis of acute myocardial infarction in a Chinese population

Molecular Medicine Reports
Jiang SuMing Yang

Abstract

The present study aimed to identify biomarkers for the clinical diagnosis of acute myocardial infarction (AMI) in a Chinese population using microarray data collected from the Gene Expression Omnibus database under accession number GSE97320. This included the peripheral blood samples of three patients with AMI and three controls. Differentially expressed genes (DEGs) were identified using the limma package and protein‑protein interaction networks were constructed using data from the Search Tool for the Retrieval of Interacting Genes database, followed by module analysis to screen for hub genes. Functional enrichment analyses were performed using the Database for Annotation, Visualization and Integrated Discovery. The identified genes were verified by overlapping with the target genes of microRNAs (miRs) known to be associated with AMI, as well as the DEGs identified in other AMI datasets, including GSE24519, GSE34198 and GSE48060. As a result, 752 DEGs (449 upregulated and 303 downregulated) were identified in the GSE97320 dataset. The upregulated DEGs were predicted to participate in inflammatory pathways, including the toll‑like receptor (TLR) signaling pathway, including ras‑related C3 botulinum toxin substrate 1 (RAC1), TLR...Continue Reading

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Datasets Mentioned

BETA
GSE97320
GSE24519
GSE34198
GSE48060

Software Mentioned

DAVID
Search Tool for the Retrieval of
R
Database for Annotation , Visualization and Integrated Discove...
Bioconductor
Bioconductor affy
Cytoscape
limma
ggplot2

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