Integrative Network Analysis and Machine Learning Identify Cell Adhesion-Related Biomarkers and Immune Heterogeneity in Allergic Rhinitis

Background

Allergic rhinitis (AR) represents a highly prevalent inflammatory disorder of the nasal mucosa, but molecular indicators capable of capturing its disease-specific transcriptional features remain insufficiently defined. This study aimed to identify cell adhesion-related diagnostic biomarkers for AR and to investigate their immune relevance and molecular heterogeneity.