哮喘中代谢相关的"lncRNA-miRNA-mRNA"ceRNA网络构建OA

Objective:To construct a competitive endogenous RNA(ceRNA)network to enrich the understanding of molecu-lar mechanisms of asthma and explore new therapeutic targets.Methods:We obtained gene expression data of asthma from a com-prehensive gene expression database and performed differential expression analysis.Weighted gene co-expression network analysis(WGCNA)was utilized to construct a co-expression network and identify asthma-associated gene modules.Key genes were select-ed through gene set enrichment analysis and differential expression analysis.Online databases miRDB,TargetScan,and star-Base3.0 were employed to predict microRNAs targeted by key genes.Additionally,interactions between microRNAs and long non-coding RNAs(lncRNAs)were predicted using the LncBase and ENCORI platforms.After excluding lncRNAs localized sole-ly in the nucleus and extracellular space,a ceRNA network was constructed using Cytoscape.The expression patterns of key fac-tors in the ceRNA network were validated by quantitative real-time PCR(qRT-PCR).Results:Gene set enrichment analysis re-vealed that differentially expressed genes associated with asthma were primarily enriched in metabolic pathways.WGCNA and dif-ferential expression analysis identified the key gene NADK.A ceRNA network,"NADK-hsa-miR-214-3p-EPB41L4A-AS1"was constructed by integrating online databases and bioinformatics algorithms.qRT-PCR results showed significant upregulation of NADK and EPB41L‑AS1 in asthma cell models established from human bronchial epithelial cells,while the expression level of miR‑214‑3p was significantly downregulated.Conclusion:The"NADK-hsa-miR-214-3p-EPB41L4A-AS1"network may play a potential regulatory role in asthma.The findings of this study may provide new biomarkers for early diagnosis,disease monitoring,and prognosis evaluation in asthma.