Role of WNK4 and FKBP5 in asthma: Insights from bioinformatics analysis, machine learning, and preliminary validation

Key Points

• Asthma biomarkers WNK4 and FKBP5 show significant associations with asthma severity and control, requiring exploration.
• Bioinformatics analysis identified WNK4 and FKBP5 as critical in asthma pathogenesis, connecting genetics to symptoms.
• The machine learning approach effectively recognized patterns across datasets, improving predictive accuracy for asthma management.
• This analysis highlights the need for further validation in larger cohorts to confirm clinical relevance of these findings.