IDENTIFICATION OF POTENTIAL DYSFUNCTION OF ALLERGIC RHINITIS BY CD4+ T CELL CORRELATION ANALYSIS

Yanzhen Ji^*, Yang Sun, Xiaoyu Chen

Qingdao hospital of traditional Chinese Medicine, Renmin Road, Shibei District, Shandong 266000, China

Allergic rhinitis (AR) is a heterogeneous disease with a high prevalence, but it is often difficult to diagnose. The molecular mechanism remains unclear. Therefore, this study is based on a modular approach to further analysis of the key genes in the pathogenesis of allergic rhinitis, intended to identify the molecular process of the onset of allergic rhinitis. First, related statistics of allergic rhinitis data were downloaded from the GEO database, and sample from people with diseases and without diseases in the pollen season and non-pollen season were respectively carried out variance analysis whose results obtained differential gene expression profiles. Secondly, the differential gene of allergic rhinitis underwent co-expression module analysis and the hub genes were mined. Thirdly, the GO function and KEGG enrichment analysis was performed for module genes. Finally, transcription factors and non-coding RNAs (ncRNAs) that regulated the module genes were predicted on the basis of hypergeometric testing. In summary, 17 co-expression modules were obtained, in which BATF and ATP5E were significant differentially expressed in allergic rhinitis patients. They were identified as key genes for allergic rhinitis. Then, the module genes significantly participated in the regulation of mitotic cell cycle phase transition, positive regulation of leukocyte differentiation, and negative regulation of interleukin-8 secretion. And significantly regulated DNA replication, nodule-like receptor signaling pathways, Parkinson's disease, Huntington's disease and inflammatory bowel disease KEGG pathways. In addition, the ncRNA pivot (let-7a-5p, let-7e-5p, miR-155-5p, miR-15b-5p, etc.) and TF pivot (including SMAD4, etc.) were identified for significantly regulating module genes. This study deciphered co-expression networks of regulation involving allergic rhinitis. It helped to reveal the important modules and potential regulatory factors, this will enhance our understanding of the pathogenesis.