Integrated Bioinformatics Analysis and Machine Learning to Identify Biomarkers and Fibroblast-related Features of Idiopathic PulmonaryFibrosis
We identified that STEAP2 plays an important regulatory role in IPF and developed a diagnostic model based on characteristic biomarkers. Overall, this research provides new insights into the pathogenesis of IPF from both biological and genetic perspectives, offering potential therapeutic targets for its treatment.
Authors
- Guofeng Li (ORCID: https://orcid.org/0000-0002-7528-2036)
- Jiayi Liu (ORCID: https://orcid.org/0000-0003-1819-2998)
- Lijie Li (ORCID: https://orcid.org/0000-0002-2667-4164)
- Jiajia Li (ORCID: https://orcid.org/0000-0002-1011-4568)
- Xinru Fei
- Dongkai Zhao
- Yuhua Wen
- Huiling Zhou
Institutions
- Changchun University of Chinese Medicine (CN)
- The Affiliated Hospital to Changchun University of Chinese Medicine (CN)
Publication Details
- Journal
- Current Medicinal Chemistry
- Published
- 2026-02-04
- DOI
- https://doi.org/10.2174/0109298673399689251110104124
- Primary Topic
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00