Circulating levels of inflammatory parameters pentraxin-3, cyclophilin and heparin-binding epidermal growth factor-like growth factor in patients with ST-elevation myocardial infarction

Differential gene expression patterns in ST-elevation Myocardial Infarction and Non-ST-elevation Myocardial Infarction

The ST-elevation Myocardial Infarction (STEMI) and Non-ST-elevation Myocardial Infarction (NSTEMI) might occur because of coronary artery stenosis. The gene biomarkers apply to the clinical diagnosis and therapeutic decisions in Myocardial Infarction. The aim of this study was to introduce, enrich and estimate timely the blood gene profiles based on the high-throughput data for the molecular distinction of STEMI and NSTEMI. The text mining data (50 genes) annotated with DisGeNET data (144 genes) were merged with the GEO gene expression data (5 datasets) using R software. Then, the STEMI and NSTEMI networks were primarily created using the STRING server, and improved using the Cytoscape software. The high-score genes were enriched using the KEGG signaling pathways and Gene Ontology (GO). Furthermore, the genes were categorized to determine the NSTEMI and STEMI gene profiles. The time cut-off points were identified statistically by monitoring the gene profiles up to 30 days after Myocardial Infarction (MI). The gene heatmaps were clearly created for the STEMI (high-fold genes 69, low-fold genes 45) and NSTEMI (high-fold genes 68, low-fold genes 36). The STEMI and NSTEMI networks suggested the high-score gene profiles. Furthermore, the gene enrichment suggested the different biological conditions for STEMI and NSTEMI. The time cut-off points for the NSTEMI (4 genes) and STEMI (13 genes) gene profiles were established up to three days after Myocardial Infarction. The study showed the different pathophysiologic conditions for STEMI and NSTEMI. Furthermore, the high-score gene profiles are suggested to measure up to 3 days after MI to distinguish the STEMI and NSTEMI.

C-reactive protein and uric acid roles in distinguishing ST-segment elevation myocardial infarction from non-ST-elevation acute coronary syndrome

Acute coronary syndrome (ACS) is defined as a range of conditions which the blood flow to the heart was reduced or stopped. This disorder is correlated to a systemic inflammatory response and some biochemical factors. Therefore, the aim of this study was investigations of serum C-reactive protein (CRP) and uric acid levels in ST-segment elevation myocardial infarction (STEMI) and non-ST-elevation ACS (NSTE ACS), as common subtypes of ACS. Patients with ACS (n = 140) were assessed with coronary arteriography and divided into STEMI and NSTE ACS groups. The serum levels of hs-CRP and uric acid were investigated using a routine clinical chemistry analyzer. Patients with STEMI showed a significant increase in uric acid level compared to those with NSTE ACS (P < .0001). Other data indicated that hs-CRP level in patients with STEMI was significantly higher than individuals with NSTE ACS (P < .0001). Modeling analysis revealed that the increased levels of acid uric and hs-CRP in patients with STEMI were independent of the effects of age, gender, background diseases, and familial history (P < .001). The current study provides further evidence to indicate that hs-CRP and uric acid may be considered as biofactors for comparing STEMI from NSTE ACS and determining disease outcome.