Identification And Prediction Of Biological Features Associated With Atrial Fibrillation

Atrial fibrillation(AF) is the most common type of cardiac arrhythmia, and isresponsible for substantial morbidity and mortality in the general population. Theoutstanding progresses have shown that AF pathophysiology involves electrical, structuraland contractile remodeling. There are many different types of AF, for example paroxysmal,persistent, or permanent AF. The pathophysiological mechanism of different AF type isdifferent. In the past ten years, the outstanding progresses has been achieved in themolecular biology mechanism of AF, but that is not enough. Research shows thatChina’s incidence of AF is higher than the international research results. The incidenceof AF is increasing along with the aging of the population.We need further basic andclinical research to clarify the initiation and/or maintenance of AF. Treating AF basedon the mechanism is currently one of the problems to be solved In the field ofarrhythmia.In order to further understanding of the molecular mechanisms of AF, this paper ismining mining differentially expressed genes/miRNA associated with AF through geneexpression data associated with the permanent atrial fibrillation(PmAF) and miRNAexpression data associated with AF with valvular heart disease(AF-VHD). Main contentis following:1. Identify and analysis differential expressed genes associated with PmAF. Weinitially identify the candidates of differential expressed genes between patients withAF and the control group using APCA-based method and then screen AF-relateddifferential expressed genes based on the enrichment analysis. In conclusion,32newDEGs are proposed to be associated with AF. By combining and refining the results from ourand previous studies and pathway information on KEGG, new pathways causing and/or maintainingAF are systematically constructed. These findings provide new insights into the progressionof AF.2. Prediction of miRNA biomarker associated with AF-VHD. First, we identify52miRNA as the candidates of differential expressed miRNA related AF-VHD usingAPCA-based method. We found15miRNAs are associated with the disease of inducing AF by searching in miR2Disease database. Which provided new potential targets for theprevention of AF and the bond between AF and it’s dependent risk factors. This isimportant significance to understand the molecular mechanisms of AF deeply.