AUTHOR=Chen Dian , Wu Wenliang , Yi Lingling , Feng Yuchen , Chang Chenli , Chen Shengchong , Gao Jiali , Chen Gongqi , Zhen Guohua 

TITLE=A Potential circRNA-miRNA-mRNA Regulatory Network in Asthmatic Airway Epithelial Cells Identified by Integrated Analysis of Microarray Datasets

JOURNAL=Frontiers in Molecular Biosciences

VOLUME=8

YEAR=2021

URL=https://www.frontiersin.org/journals/molecular-biosciences/articles/10.3389/fmolb.2021.703307

DOI=10.3389/fmolb.2021.703307

ISSN=2296-889X

ABSTRACT=<p><bold>Background:</bold> Asthma is one of the most prevalent chronic respiratory diseases worldwide. Bronchial epithelial cells play a critical role in the pathogenesis of asthma. Circular RNAs (circRNAs) act as microRNA (miRNA) sponges to regulate downstream gene expression. However, the role of epithelial circRNAs in asthma remains to be investigated. This study aims to explore the potential circRNA-miRNA-messenger RNA (mRNA) regulatory network in asthma by integrated analysis of publicly available microarray datasets.</p><p><bold>Methods:</bold> Five mRNA microarray datasets derived from bronchial brushing samples from asthma patients and control subjects were downloaded from the Gene Expression Omnibus (GEO) database. The robust rank aggregation (RRA) method was used to identify robust differentially expressed genes (DEGs) in bronchial epithelial cells between asthma patients and controls. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were used to annotate the functions of the DEGs. Protein-protein interaction (PPI) analysis was performed to identify hub genes. Three miRNA databases (Targetscan, miRDB, and miRWalk) were used to predict the miRNAs which potentially target the hub genes. A miRNA microarray dataset derived from bronchial brushings was used to validate the miRNA-mRNA relationships. Finally, a circRNA-miRNA-mRNA network was constructed via the ENCORI database.</p><p><bold>Results:</bold> A total of 127 robust DEGs in bronchial epithelial cells between steroid-naïve asthma patients (<italic>n</italic> = 272) and healthy controls (<italic>n</italic> = 165) were identified from five mRNA microarray datasets. Enrichment analyses showed that DEGs were mainly enriched in several biological processes related to asthma, including humoral immune response, salivary secretion, and IL-17 signaling pathway. Nineteen hub genes were identified and were used to construct a potential epithelial circRNA-miRNA-mRNA network. The top 10 competing endogenous RNAs were <italic>hsa_circ_0001585</italic>, <italic>hsa_circ_0078031</italic>, <italic>hsa_circ_0000552</italic>, <italic>hsa-miR-30a-3p</italic>, <italic>hsa-miR-30d-3p</italic>, <italic>KIT</italic>, <italic>CD69</italic>, <italic>ADRA2A</italic>, <italic>BPIFA1</italic>, and <italic>GGH</italic>.</p><p><bold>Conclusion:</bold> Our study reveals a potential role for epithelial circRNA-miRNA-mRNA network in the pathogenesis of asthma.</p>