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.
Keyphrases
- bioinformatics analysis
- mouse model
- chronic obstructive pulmonary disease
- end stage renal disease
- lung function
- newly diagnosed
- ejection fraction
- poor prognosis
- allergic rhinitis
- prognostic factors
- high glucose
- binding protein
- nlrp inflammasome
- cystic fibrosis
- diabetic rats
- oxidative stress
- endothelial cells
- long non coding rna