Identification Of Biomarkers In Acute Coronary Syndrome Based On Regulatory Network

Acute coronary syndrome(ACS) is a life-threating disease. Acute myocardial infarction(AMI) and Unstable angina(UA) are two common subtypes of ACS. However, there is still lack of sufficient biomarker evidence to distinguish between two subtypes.Micro RNAs(mi RNAs) are endogenous, non-coding RNAs with the posttranscriptional role to regulate genes that play significant roles in a large range of biological process and serve as good candidates for biomarkers.We collected public mi RNA datasets with AMI, UA from the Gene Expression Omnibus(GEO) database. Differentially expressed mi RNAs are mapped to a developed mi RNA-m RNA network substructure.We identified 27 and 26 specific mi RNAs in AMI and UA, respectively, which results in 8 universal mi RNAs. In each subtype, 5 of the mi RNAs have been reported from the literature. Besides, mi RNAs are mapped to target genes on Gene Go’s Meta Core database to find relationships in a biological pathway level. We found 35 and 18 correlated pathways in AMI and UA, respectively in which 28 in AMI and 12 in UA were proved by carefully reviewing literature.We screened potential mi RNAs based on innovation regulatory network in the subtypes of the ACS and then compared their results to conclude the specific and universal mi RNAs. After that we further enriched target genes of the mi RNAs in the signaling pathway level which will help us better understand the relationships between mi RNAs and pathways. We suggest their important roles to the clinical use.