As the most prevalent type of rhinitis, allergic rhinitis consists of seasonal allergic rhinitis (SAR) and perennial allergic rhinitis. Researchers conducted this study to reveal the mechanisms of SAR.

Microarray data set GSE43523 was extracted from the Gene Expression Omnibus database. Based on the limma package, differential expression analysis for the two groups was performed to obtain DEGs. Using the Multifaceted Analysis Tool for Human Transcriptome online tool, the DEGs’ functions were predicted by enrichment analysis. Combined with Cytoscape software, a PPI network was built, and a significant network module was acquired. TF-target and miRNA-target pairs were expected using the WebGestalt tool, and then the TF-miRNA-target regulatory network was constructed by Cytoscape software.

There were 274 DEGs between rhinitis and control samples, including 144 upregulated genes and 130 downregulated genes. In the TF-miRNA-target regulatory network, ABCA1, CPEB4, CD69, MIR-17-5P, and CREB had higher degrees. Furthermore, both ABCA1 and CD69 were targeted by MIR-17-5P in the regulatory network.

The study concluded that CPEB4 and CREB might be implicated in the pathogenesis of SAR. Besides, MIR-17-5P might also act in SAR via targeting ABCA1 and CD69.