Analysis of the Molecular Mechanism of Acute Coronary Syndrome Based on circRNA-miRNA Network Regulation

Circulating circ_0069094 is Correlated with the Present and Endothelial Injury of Acute Coronary Syndrome

To investigate the impacts of circ_0069094 on acute coronary syndrome. Real-time polymerase chain reaction was used to detect the expression levels of circ_0069094, and its diagnostic performance was evaluated using ROC curve. Spearman's method was performed for correlation analysis. The levels of SOD, MDA, vWF in ACS rat models were assessed by commercial kits. The activities of H/R cell models were detected by CCK-8, Transwell, flow cytometry. The GO and KEGG were performed to analyze the function of targeted genes of miR-484. The concentration of circ_0069094 was decreased in patients with ACS, ACS rat models and H/R HUVEC models. The dysfunction of SOD, MDA, vWF, LVIDs, LVDD, and LVEF in the ACS models was regulated by the increase of circ_0069094. The viability, migration, apoptosis of the H/R models were regulated by circ_0069094. MiR-484 was a ceRNA of circ_0069094 and mediated the function of circ_0069094.

A Meta-Analysis Approach to Gene Regulatory Network Inference Identifies Key Regulators of Cardiovascular Diseases

Cardiovascular diseases (CVDs) represent a major concern for global health, whose mechanistic understanding is complicated by a complex interplay between genetic predisposition and environmental factors. Specifically, heart failure (HF), encompassing dilated cardiomyopathy (DC), ischemic cardiomyopathy (ICM), and hypertrophic cardiomyopathy (HCM), is a topic of substantial interest in basic and clinical research. Here, we used a Partial Correlation Coefficient-based algorithm (PCC) within the context of a meta-analysis framework to construct a Gene Regulatory Network (GRN) that identifies key regulators whose activity is perturbed in Heart Failure. By integrating data from multiple independent studies, our approach unveiled crucial regulatory associations between transcription factors (TFs) and structural genes, emphasizing their pivotal roles in regulating metabolic pathways, such as fatty acid metabolism, oxidative stress response, epithelial-to-mesenchymal transition, and coagulation. In addition to known associations, our analysis also identified novel regulators, including the identification of TFs FPM315 and OVOL2, which are implicated in dilated cardiomyopathies, and TEAD1 and TEAD2 in both dilated and ischemic cardiomyopathies. Moreover, we uncovered alterations in adipogenesis and oxidative phosphorylation pathways in hypertrophic cardiomyopathy and discovered a role for IL2 STAT5 signaling in heart failure. Our findings underscore the importance of TF activity in the initiation and progression of cardiac disease, highlighting their potential as pharmacological targets.

Circular RNAs: Biogenesis, Biological Functions, and Roles in Myocardial Infarction

Non-coding RNAs have been excavated as important cardiac function modulators and linked to heart diseases. Significant advances have been obtained in illuminating the effects of microRNAs and long non-coding RNAs. Nevertheless, the characteristics of circular RNAs are rarely mined. Circular RNAs (circRNAs) are widely believed to participate in cardiac pathologic processes, especially in myocardial infarction. In this review, we round up the biogenesis of circRNAs, briefly describe their biological functions, and summarize the latest literature on multifarious circRNAs related to new therapies and biomarkers for myocardial infarction.

A Complex Heterogeneous Network Model of Disease Regulated by Noncoding RNAs: A Case Study of Unstable Angina Pectoris

MicroRNAs (miRNAs) are important types of noncoding RNAs, and there is a lack of holistic and systematic understanding of the functions they play in disease. We proposed a research strategy, including two parts network analysis and network modelling, to analyze, model, and predict the regulatory network of miRNAs from a network perspective, using unstable angina pectoris as an example. In the network analysis section, we proposed the WGCNA & SimCluster method using both correlation and similarity to find hub miRNAs, and validation on two datasets showed better results than the methods using correlation or similarity alone. In the network modelling section, we used six knowledge graph or graph neural network models for link prediction of three types of edges and multilabel classification of two types of nodes. Comparative experiments showed that the RotatE model was a good model for link prediction, while the RGCN model was the best model for multilabel classification. Potential target genes were predicted for hub miRNAs and validation of hub miRNA-target gene interactions, target genes as biomarkers and target gene functions were performed using a three-step validation approach. In conclusion, our study provides a new strategy to analyze and model miRNA regulatory networks.

Clinical Features of Acute Coronary Syndrome in Patients with Coronary Heart Disease and Its Correlation with Tumour Necrosis Factor in Cardiology

Tumour necrosis factor (TNF) levels are higher in patients who have experienced an acute ischemic stroke. Greater levels of TNF may not be linked to an increased risk of recurrent coronary events in the stable phase after myocardial ischemia (MI). Coronary atheroma is connected to endothelial and smooth muscle cells, as well as macrophages that emit the multifunctional cytokine tumour necrosis factor (TNF). Transplanted tumours become more vulnerable when TNF-α was first recognized to have a function in hemorrhagic necrosis. TNF-α has been demonstrated to induce heart failure, pulmonary edoema, and cardiomyopathy in people with advanced heart failure when it is elevated in the bloodstream. It has been postulated that prolonged overexpression of TNF-α after ischemia may contribute to poor cardiac outcomes by increasing TNF-α when the myocardium undergoes both temporary ischemia and reperfusion. A rise in TNF levels has been seen after a myocardial infarction, but it is unclear if these higher levels, found months after the initial event, are associated with an increased risk of subsequent heart attacks. We looked at TNF levels in the blood of 270 patients with coronary heart disease in the Chinese Hypertension League's Cholesterol and Recurrent Events (CARE) experiment to see if this notion held true. Recurrent coronary syndrome and coronary mortality were monitored prospectively in the participants. The min max imbalance normalization can be used to assess a patient's baseline characteristics, including hormone and cholesterol test results. Type 2 stimulant connection to aggregate the TNF-signaling qualities and fuzzy techniques was applied. There may now be enough preliminary evidence from the crucial bundle neural network analysis to identify the risk of coronary heart disease associated with TNF pregeneration studies. The tests were assessed using a variety of methods and performance metrics in a Matlab environment.

circCELF1 Inhibits Myocardial Fibrosis by Regulating the Expression of DKK2 Through FTO/m6A and miR-636

The aim of this study is to explore the role of circCELF1/miR-636/DKK2 pathway in myocardial fibrosis (MF). RT-qPCR and western blot were used to detect the expression of circCELF1, miR-636, and DKK2 in activated cardiac fibroblasts (CFs) and the hearts of acute myocardial infarction (AMI) mice. The m⁶A level of DKK2 was detected by RIP and RT-qPCR. The regulation of circCELF1/miR-636/DKK2 pathway on CF viability, activation, apoptosis, and migration was verified by CCK-8, western blot, flow cytometry, and Transwell. Ang II induced downregulation of circCELF1 expression, while circCELF1 enhanced the expression of DKK2 by adsorbing miR-636. circCELF1 also reduced DKK2 m⁶A level by upregulating FTO expression, thereby inhibiting the binding of miR-636 to DKK2 and promoting DKK2 expression. Ang II promoted CF viability, activation, and migration through the circCELF1/miR-636/DKK2 pathway. Both miR-636 inhibitors and DKK2 effectively reduced MF and improved cardiac function in AMI mice.

Emerging roles of circRNAs in the pathological process of myocardial infarction

Myocardial infarction (MI) is defined as cardiomyocyte death in a clinical context consistent with ischemic insult. MI remains one of the leading causes of morbidity and mortality worldwide. Although there are a number of effective clinical methods for the diagnosis and treatment of MI, further investigation of novel biomarkers and molecular therapeutic targets is required. Circular RNAs (circRNAs), novel non-coding RNAs, have been reported to function mainly by acting as microRNA (miRNA) sponges or binding to RNA-binding proteins (RBPs). The circRNA-miRNA-mRNA (protein) regulatory pathway regulates gene expression and affects the pathological mechanisms of various diseases. Undoubtedly, a more comprehensive understanding of the relationship between MI and circRNA will lay the foundation for the development of circRNA-based diagnostic and therapeutic strategies for MI. Therefore, this review summarizes the pathophysiological process of MI and various approaches to measure circRNA levels in MI patients, tissues, and cells; highlights the significance of circRNAs in the regulation MI pathogenesis and development; and provides potential clinical insight for the diagnosis, prognosis, and treatment of MI.

Interactions between noncoding RNAs as epigenetic regulatory mechanisms in cardiovascular diseases

Cardiovascular diseases (CVDs) represent the foremost cause of mortality in the United States and worldwide. It is estimated that CVDs account for approximately 17.8 million deaths each year. Despite the advances made in understanding cellular mechanisms and gene mutations governing the pathophysiology of CVDs, they remain a significant cause of mortality and morbidity. A major segment of mammalian genomes encodes for genes that are not further translated into proteins. The roles of the majority of such noncoding ribonucleic acids (RNAs) have been puzzling for a long time. However, it is becoming increasingly clear that noncoding RNAs (ncRNAs) are dynamically expressed in different cell types and have a comprehensive selection of regulatory roles at almost every step involved in DNAs, RNAs and proteins. Indeed, ncRNAs regulate gene expression through epigenetic interactions, through direct binding to target sequences, or by acting as competing endogenous RNAs. The profusion of ncRNAs in the cardiovascular system suggests that they may modulate complex regulatory networks that govern cardiac physiology and pathology. In this review, we summarize various functions of ncRNAs and highlight the recent literature on interactions between ncRNAs with an emphasis on cardiovascular disease regulation. Furthermore, as the broad-spectrum of ncRNAs potentially establishes new avenues for therapeutic development targeting CVDs, we discuss the innovative prospects of ncRNAs as therapeutic targets for CVDs.

Circular RNAs and Cardiovascular Regeneration

circular RNAs (circRNAs) are a type of non-coding RNAs that are widely present in eukaryotic cells. They have the characteristics of stable structure, high abundance, and cell or tissue specific expression. circRNAs are single-stranded RNAs that are covalently back spliced to form closed circular loops. They may participate in gene expression and regulation through a variety of action modes. circRNAs can encode proteins or function by acting as miRNA sponges for protein translation. Since 2016, a growing number of research studies have shown that circRNAs play important role in the pathogenesis of cardiovascular disease. With the construction of circRNA database, the differential expression of circRNAs in the heart tissue samples from different species and the gradual elucidation of its mode of action in disease may become an ideal diagnosis biomarker and an effective therapeutic target. What can be expected surely has a broader application prospect. In this review, we summarize recent publications on circRNA biogenesis, expression profiles, functions, and the most recent studies of circRNAs in the field of cardiovascular diseases with special emphasis on cardiac regeneration.

Protein tyrosine phosphatase receptor-type O expression as a prognostic marker in patients with acute coronary syndrome undergoing percutaneous coronary intervention: A prospective study

Optimal clinical indicators are crucial for evaluating the prognosis of patients with acute coronary syndrome (ACS). In the present study, the potential prognostic value of protein tyrosine phosphatase receptor-type O (PTPRO) expression in the peripheral blood mononuclear cells of patients with ACS undergoing percutaneous coronary intervention (PCI) was investigated. Patients diagnosed with ACS were prospectively recruited, and PTPRO expression in mononuclear cells separated from peripheral blood was assessed by western blotting. The prognosis was judged by the occurrence of major adverse cardiovascular events. Cox regression analyses were performed to assess the association between PTPRO expression and prognosis. In the enrolled 185 patients with ACS, PTPRO expression was lower after PCI compared with that before PCI (P<0.05). Although the pre-PCI PTPRO expression did not differ significantly between the good and poor prognosis groups, PTPRO expression after PCI was significantly lower in the good prognosis group compared with the poor prognosis group (P<0.05). The area under the receiver operating characteristic curve for the prognostic value of post-PCI PTPRO expression was significantly greater than that for pre-PCI PTPRO expression (P<0.05). Cox regression analysis identified high post-PCI PTPRO expression as an independent risk factor for poor prognosis in patients with ACS (P<0.05), and further analysis indicated that the post-PCI PTPRO expression level was associated with the prognosis of patients with ACS (P<0.05). PTPRO expression in peripheral blood mononuclear cells after PCI is associated with the prognosis of patients with ACS, with high PTPRO expression indicating a high risk of poor prognosis in patients with ACS.

Correlation between Mitochondrial Dysfunction, Cardiovascular Diseases, and Traditional Chinese Medicine

Cardiovascular disease (CVD) is the number one threat that seriously endangers human health. However, the mechanism of their occurrence is not completely clear. Increasing studies showed that mitochondrial dysfunction is closely related to CVD. Possible causes of mitochondrial dysfunction include oxidative stress, Ca²⁺ disorder, mitochondrial DNA mutations, and reduction of mitochondrial biosynthesis, all of which are closely related to the development of CVD. At present, traditional Chinese medicine (TCM) is widely used in the treatment of CVD. TCM has the therapeutic characteristics of multitargets and multipathways. Studies have shown that TCM can treat CVD by protecting mitochondrial function. Via systematic literature review, the results show that the specific mechanisms include antioxidant stress, regulation of calcium homeostasis, antiapoptosis, and regulation of mitochondrial biosynthesis. This article describes the relationship between mitochondrial dysfunction and CVD, summarizes the TCM commonly used for the treatment of CVD in recent years, and focuses on the regulatory effect of TCM on mitochondrial function.