The Study Of Complex Heart Disease Mechanism By Molecular Regulation Network

Nowadays, heart disease is one of the greatest enemy of human health and disease of acute myocardial infarction is a kind of common disease of cardiovascular disease, It is mainly due to the onset of arterial obstruction caused by chemic myocardial necrosis, which is accompanied by a permanent damage to the heart, even life-threatening. Major manifestations are severe pain of chest, white blood cells and serum enzyme will be increased and electrocardiogram will also be changed. During the course of acute myocardial infarction’s morbidity, it will lead to potential complication from the disease, like atrial fibrillation, heart failure and others, which is a serious threat to people’s health. Because the features of acute myocardial infarction has the features of suddenness, high mortality rate and few symptoms, it is bring great difficulty to diagnosis and treat this disease.With the development of microarray technology, people get more and more data from microarray chips. We can understand the occurrence and development of the disease at the molecular level by analysis and use of microarray data. For heart infarction, the early diagnosis using expression spectrum can effectively prevent disease indeed, while understanding of the pathogenesis of this disease at genome level can also provide a new way for the treatment of the disease.This article secondarily mines peripheral whole genome data of acute myocardial infarction with bioinformatics analysis method. The whole-genome data secondarily with gene microarray bioinformatics analysis method, the re-identification of biological characteristics of disease acute myocardial infarction, analysis of key pathogenic factors. The aim is to provide reference and basis for the study of the physiological mechanism of acute myocardial infarction in the future, Its main contents are as follows:1. Identify and analyze the differentially expressed genes related to the acute myocardial infarction. Based on the independent t test method, seventy-nine differentially expressed genes related to acute myocardial infarction were extracted. Then, we use the ROC curve to evaluate and analyze the classification power and credibility of the selected differentially expressed genes.2. The biological information related to acute myocardial infarction is extracted and analyzed through the enrichment analysis of the differentially expressed genes selected, this step has found 8 molecular function,12 biological process,7 cellular component and 19 pathway, including some biological information and pathway has been proved that had connection with AMI. Then by the literature searches, some miRNAs associated with acute myocardial infarction are collected. The gene regulatory network involved in miRNAs is constructed using the target gene prediction technology, in which three core miRNAs are found through the network analysis and their biological significance is observed using GO analysis and Pathway analysis, has found their main function are in enzymes regulation and binding protein, and they have participate in cell metabolism and physiology, besides they main were in the epidermal growth factor receptor signaling pathway. Furthermore, other two gene regulatory networks are constructed based on the correlation model and Bias theory. Finally, we simultaneously do the node analysis of the three networks and find the important nodes, this step has found 8 important nodes. The functions and roles of the genes located in the important nodes are analyzed.