Identification of diagnostic and prognostic phospholipid biomarkers in idiopathic pulmonary fibrosis via machine learning and in vivo validation
This research successfully identified potential biomarkers for IPF and developed a prognostic model based on liquid biopsy and a diagnostic model based on lung tissue. Further validation is required to assess their clinical applicability.
Authors
- Caiyu Jiang
- Yi Liao (ORCID: https://orcid.org/0000-0003-4826-0314)
- Xiaoshu Liu (ORCID: https://orcid.org/0000-0001-9233-1576)
- Lian Liu (ORCID: https://orcid.org/0000-0003-1856-2530)
- Jun Zou (ORCID: https://orcid.org/0000-0002-4781-2538)
- Liqing Yang (ORCID: https://orcid.org/0000-0003-4444-559X)
- Song Jun-mei
Institutions
- University of Electronic Science and Technology of China (CN)
- Sichuan University (CN)
- West China Hospital of Sichuan University (CN)
Publication Details
- Journal
- Human Genomics
- Published
- 2025-12-12
- DOI
- https://doi.org/10.1186/s40246-025-00845-3
- Primary Topic
- Interstitial Lung Diseases and Idiopathic Pulmonary Fibrosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00