Investigation of key ferroptosis-associated genes and potential therapeutic drugs for asthma based on machine learning and regression models.

ABSTRACT: Bronchial asthma is a complex and heterogeneous disease, with ferroptosis, a form of non-apoptotic cell death, contributing to its pathogenesis by inducing airway epithelial damage, inflammatory infiltration, and airway remodeling. Investigating ferroptosis-related characteristic genes and potential therapeutic compounds may enhance asthma management. This study employed differential analysis and machine learning to identify ferroptosis-related characteristic genes in asthma using the GSE179156 dataset and FerrDb V2 database. Immune infiltration analysis explored the associations between these genes and immune cells, while potential small-molecule drugs were screened through the Connectivity Map (CMap) database and evaluated via molecular docking and molecular dynamics simulations. Two fer

SUBMITTER: Chen Y 

PROVIDER: S-EPMC12297556 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature