The contribution of NOS3 variants to coronary artery disease: A combined genetic epidemiology and computational biochemistry perspective

Association Between CYP2D7 and TCF20 Polymorphisms and Coronary Heart Disease

One of the causes of coronary heart disease (CHD) is genetic factors. In this study, we explored the relationship between CYP2D7 and TCF20 gene polymorphisms and the risk of CHD in the Han Chinese population. Three single nucleotide polymorphisms (CYP2D7 rs1800754, CYP2D7 rs2743461, and TCF20 rs760648) were selected and genotyped from 490 cases and 480 controls. The odds ratios (ORs) and 95% confidence intervals (CIs) were used to assess the association between CYP2D7 and TCF20 polymorphisms and the risk of CHD. The association between clinical indicators and polymorphisms was analyzed using one-way ANOVA and Tukey's HSD. The SNP-SNP interactions were obtained by performing multifactor dimensionality reduction (MDR). CYP2D7 rs1800754 and rs2743461 were closely associated with increased risk of CHD (alleles: p = 0.014, p = 0.031). Stratified analysis showed that CYP2D7 rs1800754 and rs2743461 were associated with an increased risk of CHD in men, age > 60 years, BMI ≥ 24, and smoking. Rs1800754 is also associated with an increased risk of CHD associated with alcohol consumption. In addition, TCF20 rs760648 was associated with a reduced risk of CHD in patients aged ≤ 60 years and with CALs. A significant association was found between CYP2D7 rs1800754 and rs2743461 genotypes and levels of UREA, Cr, and LDL-C; TCF20 rs760648 genotypes and levels of RBC. The MDR analysis showed that the three-locus interaction model was the best in the multi-locus model. In conclusion, CYP2D7 rs1800754 and rs2743461 polymorphisms were associated with CHD risk.

Establishment and analysis of artificial neural network diagnosis model for coagulation-related molecular subgroups in coronary artery disease

Background: Coronary artery disease (CAD) is the most common type of cardiovascular disease and cause significant morbidity and mortality. Abnormal coagulation cascade is one of the high-risk factors in CAD patients, but the molecular mechanism of coagulation in CAD is still limited. Methods: We clustered and categorized 352 CAD paitents based on the expression patterns of coagulation-related genes (CRGs), and then we explored the molecular and immunological variations across the subgroups to reveal the underlying biological characteristics of CAD patients. The feature genes between CRG-subgroups were further identified using a random forest model (RF) and least absolute shrinkage and selection operator (LASSO) regression, and an artificial neural network prediction model was constructed. Results: CAD patients could be divided into the C1 and C2 CRG-subgroups, with the C1 subgroup highly enriched in immune-related signaling pathways. The differential expressed genes between the two CRG-subgroups (DE-CRGs) were primarily enriched in signaling pathways connected to signal transduction and energy metabolism. Subsequently, 10 feature DE-CRGs were identified by RF and LASSO. We constructed a novel artificial neural network model using these 10 genes and evaluated and validated its diagnostic performance on a public dataset. Conclusion: Diverse molecular subgroups of CAD patients may each have a unique gene expression pattern. We may identify subgroups using a few feature genes, providing a theoretical basis for the precise treatment of CAD patients with different molecular subgroups.

Ferroptosis and Autophagy-Related Genes in the Pathogenesis of Ischemic Cardiomyopathy

Background

Obesity plays an important role in type 2 diabetes mellitus (T2DM) and myocardial infarction (MI). Ferroptosis and ferritinophagy are related to metabolic pathways, such as fatty acid metabolism and mitochondrial respiration. We aimed to investigate the ferroptosis- and autophagy-related differentially expressed genes (DEGs) that might be potential targets for MI progression.

Methods

GSE116250 was analyzed to obtain DEGs. A Venn diagram was used to obtain the overlapping ferroptosis- and autophagy-related DEGs. The enrichment pathway analysis was performed and the hub genes were obtained. Pivotal miRNAs, transcription factors, and drugs with the hub genes interactions were also predicted. The MI mice model was constructed, and qPCR analysis and single-cell sequencing were used to validate the hub genes.

Results

Utilizing the limma package and the Venn diagram, 26 ferroptosis-related and 29 autophagy-related DEGs were obtained. The list of ferroptosis-related DEGs was analyzed, which were involved in the cellular response to a toxic substance, cellular oxidant detoxification, and the IL-17 signaling pathway. The list of autophagy-related DEGs was involved in the regulation of autophagy, the regulation of JAK-STAT signaling pathway, and the regulation of MAPK cascade. In the protein-protein interaction network, the hub DEGs, such as IL-6, PTGS2, JUN, NQO1, NOS3, LEPR, NAMPT, CDKN2A, CDKN1A, and Snai1, were obtained. After validation using qPCR analysis in the MI mice model and single-cell sequencing, the 10 hub genes can be the potential targets for MI deterioration.

Conclusion

The screened hub genes, IL-6, PTGS2, JUN, NQO1, NOS3, LEPR, NAMPT, CDKN2A, CDKN1A, and Snai1, may be therapeutic targets for patients with MI and may prevent adverse cardiovascular events.

Risk Assessment Using the Association Between Renin-Angiotensin Genes Polymorphisms and Coronary Artery Disease

Coronary artery disease (CAD) is a multifactorial disease that involves genetic and environmental interaction. In addition to the well-known CAD risk factors, such as diabetes mellitus, hypertension, hyperlipidemia, and atherosclerosis, it has a genetic component that predisposes to its occurrence even in young people. One of the most commonly studied genes that increase the susceptibility to CAD is renin-angiotensin system (RAS) genes polymorphisms mainly angiotensin-converting enzyme gene (ACE) polymorphisms, angiotensinogen polymorphisms, angiotensin- II type 1 receptor gene polymorphisms, and many other genes. These genetic polymorphisms have a direct association with CAD development or indirect association through causing atherosclerosis and hypertension which, in turn, are complicated by CAD later on. The difference between genetic mutations and polymorphisms lies in the frequency of the abnormal genotype. If the frequency is 1% and more in the general population, it is called polymorphism and if it is less than 1%, then it is called a mutation.

According to our findings, after thorough searching, which support the association of RAS genes polymorphisms with premature CAD, hypertension, hypertrophic cardiomyopathy, and atherosclerosis, we recommend additional studies in the form of clinical trials and meta-analyses aiming to create a specific diagnostic tool for CAD risk assessment and discovering the high-risk people as early as possible. Targeted gene therapy, being the future of medicine, needs to be taken into researchers' consideration. It can have promising results in these cases.

Cardioprotective effects of erythropoietin in diabetic rats determined by CD34 and vascular endothelial growth factor levels

Introduction

In this study, the effects of diabetes mellitus on the cardiovascular system were investigated by assessing the stem cell levels in serum and heart and compared with the normal population. Additionally, efficacy of erythropoietin, which is known to increase stem cells, was studied in diabetic rats.

Material and methods

Twenty-five male Sprague Dawley rats were divided into three groups as a control group (group 1), diabetic group (group 2) and erythropoietin induced diabetic group (group 3). A diabetes model was created with streptozocin. In group 3 rats received 3000 U/kg of erythropoietin. At the end of 1 month blood reticulocyte levels, degree of tissue fibrosis and immunohistochemical assessment of reliable stem cell markers, CD34 and vascular endothelial growth factor (VEGF), were analyzed.

Results

The increase in the blood glucose levels resulted in a significant decrease in reticulocyte levels in group 2. The increase in blood glucose levels resulted in a statistically significant increase in tissue level of fibrosis, CD34 and VEGF. When the rats in groups 1 and 2 were compared, the fibrosis, CD34 and VEGF levels were found to increase significantly. When group 2 and group 3 were compared, the amount of fibrosis was lower and the levels of CD34 and VEGF were significantly higher in group 3 than group 2.

Conclusions

The results of our study indicated that the amount of CD34 and VEGF which function in cellular protection and tissue regeneration may be enhanced with safely applicable erythropoietin leading to increase in reticulocyte levels in serum, and CD34 and VEGF levels in right atrium, right ventricle, left atrium, and left ventricle as a protective mechanism in diabetic rats.