The Relationship Between the Level of Serum ESM-1 and Lp-PLA2 in Patients With Acute ST-Segment 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.

Novel lipid biomarkers and associated gene polymorphism in young ST-segment elevation myocardial infarction

BACKGROUND

There is an increasing prevalence of coronary artery disease (CAD) in younger individuals. Lipid biomarkers such as lipoprotein-a (Lp-a), Apo A1, Apo B and Paraoxonase-1 (PON1) serve as important risk predictors for development of CAD. There is little evidence regarding the role of lipid biomarkers and their genetic polymorphisms in young (<50 years) ST-segment elevation myocardial infarction (STEMI) patients.

METHODS

This study included 110 young (18-50 years) STEMI patients and 110 healthy controls. Serum levels of Apo A1, Apo B, Paraoxonase-1 (PON-1) and Lipoprotein-associated phospholipase A2 (Lp-PLA2) were estimated for both patients as well as controls. Additionally, genetic polymorphisms in the Apo A1 (75G/A) and the PON1 (Q192R) genes were evaluated.

RESULTS

Serum levels of apo B (101.31 ± 27.58 vs 75.31 ± 18.77 mg/dl; p < 0.0001), Lp(a) [87.56 ± 74.28 vs 25.81 ± 24.66 mg/dl, p < 0.0001] and Lp-PLA2 [5.97 ± 1.39 vs 3.49 ± 1.27 ng/mL, p < 0.0001] were significantly higher in patients as compared to controls. Serum levels of Apo A1 [44.76 ± 35.65 vs 95.97 ± 29.89; p < 0.0001] and PON1 [2.63 ± 1.5 vs 3.87 ± 1.47 ng/mL, p < 0.0001] were significantly lower in cases as compared with controls. Additionally, patients with genetic polymorphisms in the Apo A1 (75G/A) and the PON1 (Q192R) gene had an increased risk of STEMI.

CONCLUSION

Lipid biomarkers such as Apo A1, Apo B and PON1 and their genetic polymorphism are associated with the susceptibility for STEMI in young individuals.

Association between Endothelial Cell-Specific Molecule 1 and Galectin-3 in Patients with ST-Segment Elevation Myocardial Infarction: A Pilot Study

The biomarkers galectin-3 (Gal-3) and endothelial cell-specific molecule 1 (ESM-1) reflect endothelial function and inflammation. As a consequence, they play an important role in both the diagnosis and characterization of ST-segment elevation myocardial infarction (STEMI). However, no prior study has explored the association between ESM-1 and Gal-3 in STEMI patients. This study is aimed at determining the ESM-1 and Gal-3 levels in the serum of STEMI patients and then exploring the correlation between the levels of these two biomarkers and their clinical significance in STEMI patients. The participants were divided into two groups: the ST group comprised 35 hospitalized STEMI patients while the control group comprised 24 people with normal coronary arteries. In all the patients, venous blood was taken from the middle of the antecubital fossa. The serum ESM-1 and Gal-3 concentrations were determined using an enzyme-linked immunosorbent assay. The results revealed that the ESM-1 and Gal-3 levels in the STEMI patients were 1.6 and 2.8 times higher, respectively, when compared with the controls (P < 0.001). Moreover, the ESM-1 and Gal-3 levels exhibited a positive linear correlation (r = 0.758, P < 0.001) in the acute STEMI patients. In conclusion, the ESM-1 and Gal-3 levels were found to be significantly elevated and correlated in the STEMI patients. Thus, combining these two biomarkers of endothelial dysfunction and inflammation might be useful for the diagnosis and assessment of STEMI.