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LASSO regression screening of key targets and their internal validation analysis.
Summary
This study used LASSO regression to identify three key gene targets through which microplastics may contribute to allergic rhinitis (AR), validated through ROC curves and single-gene GSEA analysis. The results reveal differential expression profiles and enrichment pathways for these targets, providing potential diagnostic biomarkers linking microplastic exposure to AR pathogenesis.
A-B. Lasso regression was used to screen key targets, and 3 of them were identified as key targets of microplastics acting in AR. C. Prognostic heatmap demonstrating the expression profile data of 3 key targets in AR. The upper part of it represents the risk score, where red color represents high risk and blue color represents low risk. The lower part represents the differential expression profiles of the genes. Blue color represents gene expression down-regulation and red color represents gene expression up-regulation. D. Box plot demonstrating the differential expression of 15 intersecting genes between AR and normal controls. *p < 0.05. E-G. ROC curves validate the diagnostic efficacy of the 3 key targets. H-J. Single-gene GSEA analysis of the 3 key targets. The upper part represents the enrichment score, the middle part represents the enrichment pathway, and the lower part represents the risk Rank.
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