Bioinformatics-Based Identification of lncRNA-miRNA-mRNA Network in Dilated Cardiomyopathy and Drug Prediction

Background. Dilated cardiomyopathy (DCM) is a cardiovascular disease of unknown etiology with progressive aggravation. More and more studies have shown that long noncoding RNAs (lncRNAs) play an essential role in dilated formation development. The mechanism action competitive endogenous RNA (ceRNA) networks formed based on the principle lncRNAs affect mRNAs’ expression level by competitively binding microRNAs (miRNAs) has rarely been reported. Objective. This study aimed at constructing lncRNA-miRNA-mRNA ceRNA network bioinformatics analysis methods, discovering, validating potential biomarkers DCM determining possible therapeutic targets from them for drug prediction. Methods. A lncRNA dataset mRNA microarray were downloaded Gene Expression Omnibus Database (GEO). was compared between blood samples patients normal subjects to identify differential mRNAs. constructed using tools, functional pathway enrichment protein-protein interactions performed. mRNAs proteins they encode are then used as predicting drugs. Besides, validated real-time quantitative PCR (qRT-PCR) experiments vitro. Results. differentially expressed successfully established. Two overexpressed key found network: AC093817 AC091062, qRT-PCR further overexpression AC091062. encoded prediction get related Conclusion. supports development cardiomyopathy, AC091062 being cardiomyopathy.