Background
Severe asthma (SA) is a chronic lung disease, resistant to current treatments, symbolized by repeated symptoms of reversible airflow obstruction, airway hyper-responsiveness, and inflammation. The
Conclusions
Through bioinformatics analysis, we identified a multitude of DEGs that could potentially contribute significantly to the development of SA. Notably, our findings highlight NLRP3 as a potential pivotal player in asthma pathogenesis, underscoring its prospective utility as a biomarker for SA.
Methods
Microarray data for SA were acquired from the Gene Expression Omnibus (GEO) databases. DEGs were identified, and functional enrichment analyses were carried out. STRING and Cytoscape were utilized to design a protein-protein interaction (PPI) network and conduct module analysis. An OVA-induced asthma mice model was established. Lung tissue from the mice was collected for quantitative reverse transcription polymerase chain reaction (qRT-PCR), Western blot, and immunohistochemistry (IHC) to assess the expression of DEGs.
Results
A total of 545 DEGs were identified, among which 172 genes were upregulated in SA patients compared to healthy controls. The nucleotide-binding oligomerization domain-like receptor family pyrin domain containing 3 (NLRP3) was significantly up-regulated in SA patients [adjusted P value (Padj) =0.001]. Analysis of lung tissue using qRT-PCR, western blot, and IHC revealed higher expression of NLRP3 in OVA-induced asthma mice compared to the control group. Enrichment analysis suggests the involvement of NLRP3 in pathways related to pyroptosis, c-type lectin receptor signaling, and NOD-like receptor signaling. Conclusions: Through bioinformatics analysis, we identified a multitude of DEGs that could potentially contribute significantly to the development of SA. Notably, our findings highlight NLRP3 as a potential pivotal player in asthma pathogenesis, underscoring its prospective utility as a biomarker for SA.