Bioinformatics Analysis on lncRNA and mRNA Expression Profiles for Novel Biological Features of Valvular Heart Disease with Atrial Fibrillation

The biological features of the valvular heart disease with atrial fibrillation(AF-VHD)remain unknown when involving long non-coding RNAs(lncRNAs).This study performed system analysis on lncRNA and messenger RNA(mRNA)expression profiles constructed by using bioinformatics methods and tools for biological features of AF-VHD.Fold change and t-test were used to identify differentially expressed(DE)lncRNAs and mRNAs.The enrichment analysis of DE mRNAs was performed.The subgroups formed by lncRNAs and nearby mRNAs were screened,and a transcriptional regulation network among lncRNAs,mRNAs,and transcription factors(TFs)was constructed.The interactions between mRNAs related to lncRNAs and drugs were predicted.The 620 AF-VHDrelated DE lncRNAs and 452 DE mRNAs were identified.The 3 lncRNA subgroups were screened.The 665 regulations mediated by lncRNAs and TFs were identified.The 9 mRNAs related to lncRNAs had 1 or more potential drug interactions,totaling 37 drugs.Of these,9 drugs targeting 3 genes are already known to be able to control or trigger atrial fibrillation(AF)or other cardiac arrhythmias.The found biological features of AF-VHD provide foundations for further biological experiments to better understand the roles of lncRNAs in development from the valvular heart disease(VHD)to AF-VHD.