Non-Coding RNA Regulatory Network Analysis Of Autoantibody-Related Congenital Heart Block

Objective: Based on the data of autoantibody-associated congenital atrioventricular block(ACHB)in GEO public database,we used bioinformatics analysis to search for differentially expressed m RNA and Lnc RNA in ACHB.The regulatory network of competitive endogenous RNA(ce RNA)was constructed and related lnc RNA was screened to predict the molecular mechanism of non-coding RNA influencing ACHB pathogenesis.Methods: Download the disease-related data set from the GEO database.We used the R language "limma" package for difference analysis of data sets,and the cluster Profiler package for GO and KEGG functional enrichment analysis of differential m RNA.ENCORI was used to predict the mi RNA that might interact with different m RNA,and then ENCORI was used to predict the Lnc RNA that might interact with related mi RNA,and the intersection of predicted results and different Lnc RNA were selected.Cytoscape software was used to construct ce RNA regulatory networks related to Lnc RNA-mi RNA-m RNA,and Cyto NCA plug-in in Cytoscape software was used to screen key Lnc RNA according to degree value.Results: We found the ACHB-related dataset GSE121699 in the GEO database.519 different m RNAs and 27 different lnc RNAs were obtained by differential analysis.Through functional enrichment analysis,1106 GO entries,including biological processes,cell components and molecular functions,and 50 KEGG signaling pathways were obtained,and 20 terms and pathways that may be related to disease were screened out.After the intersection of lnc RNAs predicted by Starbase and Lnc RNAs in the dataset,9 lnc RNAs were obtained.According to121 mi RNAs and 100 m RNAs associated with the 9 lnc RNAs,the ce RNA network was constructed.The topology of the network was analyzed,and three key lnc RNAs,namely NUTM2A-AS1,DHRS4-AS1 and ARHGAP5-AS1,were obtained by degree ranking.Conclusion: In this study,Lnc RNA-mi RNA-m RNA regulatory network was successfully constructed based on ACHB-related data set,which is helpful to study the mechanism of noncoding RNA on ACHB pathogenesis.NUTM2A-AS1,DHRS4-AS1 and ARHGAP5-AS1 in the network are important nodes,which may regulate cardiomyocyte apoptosis and inflammatory response,and thus participate in the occurrence and development of ACHB,but the results need to be further verified by follow-up experiments.