Unknown

Dataset Information

Microplastic exposure and allergic rhinitis: Network toxicology, and molecular docking insights.


ABSTRACT:

Background

Microplastics (MPs), ubiquitous environmental pollutants, are increasingly associated with global health risks, yet their role in allergic rhinitis (AR) pathogenesis remains poorly understood.

Methods

Toxicity profiles of four typical MPs (polyethylene [PE], polypropylene [PP], polyvinyl chloride [PVC], polystyrene [PS]) were evaluated using ADMETlab 3.0. MP-related targets and AR-associated genes were integrated from the CTD database and GSE43523 dataset. Functional enrichment (GO/KEGG) and PPI network analysis (STRING/GeneMANIA) were performed on overlapping genes. LASSO regression and expression validation identified key targets, and molecular docking (Autodock Vina) assessed interactions with potential therapeutics predicted by CTD.

Results

ADMET analys

SUBMITTER: Wang Y 

PROVIDER: S-EPMC12533909 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature