Network toxicology reveals key genes of amiodarone induced pulmonary fibrosis: based on machine learning and SHAP analysis
This study identifies CTSK, ADORA3, and AGER as key genes in AIPF pathogenesis through a comprehensive bioinformatics and ML approach. Their dysregulation in lung epithelial cells likely promotes fibrosis through modulating extracellular matrix metabolism, inflammation, and cell motility. These findings provide novel insights into AIPF mechanisms and highlight potential biomarkers and therapeutic targets.
Authors
- Ying Liu (ORCID: https://orcid.org/0000-0001-5834-6934)
- Xiaoyan Yan
- Rui Fan
Institutions
- Shandong Provincial Hospital (CN)
- Affiliated Hospital of Shandong University of Traditional Chinese Medicine (CN)
- Shandong First Medical University (CN)
- Xiangyang Hospital of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Pharmacology
- Published
- 2026-02-23
- DOI
- https://doi.org/10.3389/fphar.2026.1755004
- Primary Topic
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China