Abstract
Background
Allergic rhinitis (AR) is a common chronic nasal mucosal inflammation with limited treatment options. IRAK2 regulates allergic airway inflammation, but its expression, clinical value, and mechanism in AR remain unexplored. This study screened AR-related candidate genes using bioinformatics, verified serum IRAK2 expression and its clinical significance in AR patients, and explored its functional mechanism in vitro.
Methods
GEO datasets were used to screen differentially expressed genes and candidate genes related to AR. Serum samples were collected from 100 AR patients and 100 healthy controls. Serum IRAK2 levels were detected, and correlation analysis, ROC curve analysis and logistic regression analysis were performed.





