Abstract
OBJECTIVES: To investigate the potential circular RNA (circRNA)-microRNA (miRNA)-messenger RNA (mRNA) immune regulatory network in childhood allergic asthma by analyzing microarray datasets. METHODS: GEO database was used to obtain the datasets of circRNA, miRNA, and mRNA from children with allergic asthma and healthy controls. The Limma package was used to identify differentially expressed circRNA (DEcircRNA), miRNA (DEmiRNA), and mRNA (DEmRNA). ENCORI and other tools were used to predict and construct the regulatory network of endogenous RNA. The DAVID database was used to perform GO and KEGG enrichment analyses, and CIBERSORT and Pearson were used to identify genes associated with immune cell infiltration. RESULTS: A total of 130 DEcircRNAs, 40 DEmiRNAs, and 802 DEmRNAs were identified between the asthma and control groups, and a regulatory network consisting of 12 circRNAs, 7 miRNAs, and 75 mRNAs was established. The GO analysis showed that the differentially expressed genes were mainly involved in the regulation of growth and development, and the KEGG analysis showed that they were mainly involved in the mTOR signaling pathway. The CIBERSORT analysis showed that compared with the control group, the asthma group had higher percentages of CD8(+) T cells and resting NK cells and lower percentages of resting CD4(+) memory T cells and activated mast cells. In addition, the Pearson correlation analysis identified six key mRNAs that were positively correlated with immune cell infiltration. CONCLUSIONS: The ceRNA immune regulatory network constructed in this study provides a basis for research on the mechanism of childhood allergic asthma and potential therapeutic targets.