Comprehensive Analysis of Immune-Related Genes for Classification and Immune Microenvironment of Asthma.
AMERICAN JOURNAL OF TRANSLATIONAL RESEARCH（2023）
Soochow Univ
Abstract
Objectives: To determine the effects of immune-related genes (IRGs) and immune landscape of induced sputum, and develop novel, non-invasive diagnostic molecular therapeutic targets for asthma. Methods: GSE76262 datasets were used to identify differentially expressed IRGs in asthma. Key IRGs were detected using a protein -protein interaction network. Receiver operating characteristic (ROC) curves were analyzed to investigate the di-agnostic value of key IRGs. Gene set enrichment analysis (GSEA) was performed with WebGestalt. Single-sample gene set enrichment analysis and CIBERSORT were used to investigate the immune landscape of induced sputum. Results: A total of 75 potential IRGs were associated with asthma, most of which were involved in the NF-kappa B signaling pathway. ROC analysis showed AUC values for the hub pathway ranging from 0.676-0.767, with moderate diagnostic value for asthma. We also identified IRGs-related cytokines (TNF-alpha, IL-1 beta, IL-8 and IL-6) in 76 asthma and 91 control serum samples to further explore diagnostic efficacy, showing a cumulative AUC of 0.998 for these four related cytokines. Analysis of immune cell infiltration levels showed that follicular helper T cells, activated dendritic cells, activated mast cells and eosinophils were significantly higher and macrophages M0 and macrophages M2 were significantly reduced in sputum from patients with asthma. Conclusions: IRGs-related cytokines and immune infiltration may contribute to the diagnosis and immune classification of asthma.
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Key words
Immune-related genes,asthma,induced sputum,bioinformatics
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