[Relationship between thrombolysis in myocardial infarction risk index and the severity of coronary artery lesions and long-term outcome in acute myocardial infarction patients undergoing percutaneous coronary intervention]

Potential biomarkers of acute myocardial infarction based on co‑expression network analysis

Acute myocardial infarction (AMI) is a common cause of death in numerous countries. Understanding the molecular mechanisms of the disease and analyzing potential biomarkers of AMI is crucial. However, specific diagnostic biomarkers have thus far not been fully established and candidate regulatory targets for AMI remain to be determined. In the present study, the AMI gene chip dataset GSE48060 comprising blood samples from control subjects with normal cardiac function (n=21) and patients with AMI (n=26) was downloaded from Gene Expression Omnibus. The differentially expressed genes (DEGs) between the AMI and control groups were identified with the online tool GEO2R. The co-expression network of DEGs was analyzed by calculating the Pearson correlation coefficient of all gene pairs, mutual rank screening and cutoff threshold screening. Subsequently, the Gene Ontology (GO) database was used to analyze the genes' functions and pathway enrichment of genes in the most important modules was performed. Kyoto Encyclopedia of Genes and Genomes (KEGG) Disease and BioCyc were used to analyze the hub genes in the module to determine important sub-pathways. In addition, the expression of hub genes was confirmed by reverse transcription-quantitative PCR in AMI and control specimens. In the present study, 52 DEGs, including 26 upregulated and 26 downregulated genes, were identified. As key hub genes, three upregulated genes (AKR1C3, RPS24 and P2RY12) and three downregulated genes (ACSL1, B3GNT5 and MGAM) were identified from the co-expression network. Furthermore, GO enrichment analysis of all AMI co-expression network genes revealed functional enrichment mainly in ‘RAGE receptor binding’ and ‘negative regulation of T cell cytokine production’. In addition, KEGG Disease and BioCyc analysis indicated functional enrichment of the genes RPS24 and P2RY12 in ‘cardiovascular diseases’, of AKR1C3 in ‘cardenolide biosynthesis’, of MGAM in ‘glycogenolysis’, of B3GNT5 in ‘glycosphingolipid biosynthesis’ and of ACSL1 in ‘icosapentaenoate biosynthesis II’. In conclusion, the hub genes AKR1C3, RPS24, P2RY12, ACSL1, B3GNT5 and MGAM are potential markers of AMI, and have potential application value in the diagnosis of AMI.

Application of thrombolysis in myocardial infarction risk index in the prediction of long-term outcomes for patients with ST-elevation myocardial infarction and multiple vessel disease: A single-center prospective observational cohort study

The thrombolysis in myocardial infarction (TIMI) risk index has been indicated to be a simple and useful tool for risk stratification of patients with ST-elevation myocardial infarction (STEMI). However, the predictive value of the TIMI risk index regarding the long-term outcome for patients with STEMI with multiple vessel disease has remained to be determined. In the present study, a total of 369 patients diagnosed with STEMI who received emergency percutaneous coronary intervention treatment were analyzed. A five-year follow-up was performed to record the primary endpoint of all-cause mortality, as well as the secondary endpoints of myocardial infarction, stroke, emergent revascularization and admission due to heart failure. A receiver operating characteristic (ROC) curve was used to determine the cut-off value of the TIMI risk index for predicting all-cause death, based on which the patients were divided into a high TIMI group and a low TIMI group. Kaplan-Meier survival curves were used to compare the long-term survival of the two groups and multivariate Cox regression analysis was used to evaluate the predictive value of the risk factors regarding primary and secondary endpoints. The ROC curve indicated that the TIMI risk index was associated with three-year all-cause death with a cut-off value of 30.35 (area under curve, 0.705; P=0.001). The high TIMI group (>30.35) and low TIMI group (<30.35) exhibited a significant difference in all-cause death (P=0.009) but not in any of the secondary endpoints (P=0.527). Multivariate Cox regression analysis demonstrated that a high TIMI risk index was an independent risk factor for all-cause death in patients with STEMI and multiple-vessel disease (hazard ratio=3.709, 95% CI: 1.521-9.046, P=0.004). In conclusion, the TIMI risk index was associated with long-term outcomes for patients with STEMI and multiple-vessel disease and may be of value for risk prediction.

Clinical Study on Characteristics and Risk Factors of Coronary Artery Lesions in Young Patients with Acute Myocardial Infarction

Epidemiological evidence suggests that the incidence of acute myocardial infarction (AMI) among people under 40 years of age has an increasing trend in recent years. Smoking, hypertension, diabetes mellitus, family history, and gender (male) are considered as classic risk factors for CHD, but the pathogenesis of CHD in young people is not exactly the same. Moreover, the relationship between the pattern of coronary artery disease and risk factors in young patients with acute myocardial infarction is inconclusive. In this study, we retrospectively studied the clinical data of 150 AMI patients treated in our hospital from January 2020 to May 2021. The patients were divided into the young group and elderly group according to the difference in age. The number of coronary artery lesions, the degree of coronary artery stenosis, the distribution dominance typing, the position of the lesions, and the presence of collateral circulation were observed and compared between the two groups. Multivariate logistic regression analysis was used to investigate the risk factors affecting coronary artery lesions in young patients with AMI. The results showed that the number of coronary lesions in young patients with AMI was mainly single-vessel, and the dominant type of distribution was mainly right dominant type. The stenosis degree is lighter than that of elderly patients, and the incidence of collateral circulation is lower than that of elderly patients, but the position of the lesions has no obvious regular. Smoking, staying up late, HDL-C, and LDL-C/ApoB were independent factors affecting the number of coronary artery lesions, and the changes of HDL-C and LDL-C/ApoB had an important influence on the degree of coronary stenosis in young patients. This provides a new idea for clinical treatment.