Integrative bioinformatics analysis identified 17 and 56 differentially expressed genes associated with unstable angina and myocardial infarction related to obstructive sleep apnea, respectively.
Bioinformatics analysis identified key candidate genes (such as MMP9 and PPARG) and signaling pathways linking obstructive sleep apnea to acute coronary syndrome, providing potential molecular markers for future diagnostic and therapeutic research.
p-value: p=<0.05
Although obstructive sleep apnea (OSA) has been clinically reported to be associated with acute coronary syndrome (ACS), the pathogenesis between the two is unclear. Herein, we analyzed and screened out the prospective molecular marker. To explore the candidate genes, as well as signaling cascades involved in ACS related to OSA, we extracted the integrated differentially expressed genes (DEGs) from the intersection of genes from the Gene Expression Omnibus (GEO) cohorts and text mining, followed by enrichment of the matching cell signal cascade through DAVID analysis. Moreover, the MCODE of Cytoscape software was employed to uncover the protein-protein interaction (PPI) network and the matching hub gene. A total of 17 and 56 integrated human DEGs in unstable angina (UA) and myocardial infarction (MI) group associated with OSAs that met the criteria of |log2 fold change (FC)|≥ 1, adjusted P < 0.05, respectively, were uncovered. After PPI network construction, the top five hub genes associated with UA were extracted, including APP, MAPK3, MMP9, CD40 and CD40LG, whereas those associated with MI were PPARG, MAPK1, MMP9, AGT, and TGFB1. The establishment of the aforementioned candidate key genes, as well as the enriched signaling cascades, provides promising molecular marker for OSA-related ACS, which will to provide a certain predictive value for the occurrence of ACS in OSA patients in the future.
Shi et al. (Thu,) conducted a other in Acute coronary syndrome (unstable angina and myocardial infarction) related to obstructive sleep apnea (n=24). Obstructive sleep apnea-related gene expression vs. Normal controls was evaluated on Differentially expressed genes (DEGs) meeting criteria of |log2 fold change (FC)| ≥ 1 and adjusted P < 0.05 (p=<0.05). Integrative bioinformatics analysis identified 17 and 56 differentially expressed genes associated with unstable angina and myocardial infarction related to obstructive sleep apnea, respectively.