Identification of Co-expressed Genes Between Atrial Fibrillation and Stroke

Abstract

Atrial fibrillation (AF) increases the risk of ischemic stroke and systemic arterial embolism. However, the risk factors or predictors of stroke in AF patients have not been clarified. Therefore, it is necessary to find effective diagnostic and therapeutic targets. Two datasets were downloaded from the Gene Expression Omnibus (GEO) database. Differently expressed genes (DEGs) were identified between samples of atrial fibrillation without stroke and atrial fibrillation with stroke. Enrichment analysis of Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) by Gene Set Enrichment Analysis (GSEA), construction and analysis of protein-protein interaction (PPI) network and significant module, and the receiver operator characteristic (ROC) curve analysis were performed. A total of 524 DEGs were common to both datasets. Analysis of KEGG pathways indicated that the top canonical pathways associated with DEGs were ubiquitin-mediated proteolysis, endocytosis, spliceosome, and so on. Ten hub genes (SMURF2, CDC42, UBE3A, RBBP6, CDC5L, NEDD4L, UBE2D2, UBE2B, UBE2I, and MAPK1) were identified from the PPI network and were significantly associated with a diagnosis of atrial fibrillation and stroke (AFST). In summary, a total of 524 DEGs and 10 hub genes were identified between samples of atrial fibrillation without stroke and atrial fibrillation with stroke. These genes may serve as the target of early diagnosis or treatment of AF complicated by stroke.

TMAO Aggregates Neurological Damage Following Ischemic Stroke by Promoting Reactive Astrocytosis and Glial Scar Formation via the Smurf2/ALK5 Axis

“…Notably, Smurf2 has been reported to be intensively associated with the diagnosis of atrial fibrillation and stroke, which was identified from a protein-protein interaction (PPI) network previously constructed (Zhang et al, 2020 ). Additionally, Smurf2 can enhance neuron differentiation and improve functional recovery from ischemic stroke by ubiquitinating and degrading the EZH2 (Yu et al, 2013 ).…”

Patterns of Immune Infiltration and the Key Immune-Related Genes in Acute Type A Aortic Dissection in Bioinformatics Analyses

“…The Gene Ontology (GO) functional and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses were performed on Metascape, a powerful annotation tool for the analysis of gene function. 18 , 19 Terms with a p value <0.05, a minimum count of 3 and an enrichment factor >1.5 were collected and grouped into clusters based on their similarities in membership (Kappa scores >0.3). 20 , 21 Thereafter, the top 20 terms for GO or pathway enrichment terms were selected for presentation.…”

Identification of&nbsp;Common Mechanisms and Key Genes in the Chronic Obstructive Pulmonary Disease and Acute Myocardial Infarction

“…GEO2R is an online useful tool for analyzing DEGs in the GEO platform [16]. The selected criteria in the AMI dataset were set as p-value <0.05 and |log2 FC| >0.5, while in the COPD dataset, the cut-off values were p-value <0.05 and |log2 FC| >1.…”