Machine learning-based identification of leptin-associated biomarkers and prognostic prediction models in sepsis
We established leptin-related prognostic models for sepsis using integrated machine learning. TFRC and PILRA may serve as promising biomarkers, offering insights into sepsis heterogeneity and clinical management.
Authors
- Qiunan Zuo
- Caiyu Jiang
- Yi Liao (ORCID: https://orcid.org/0000-0003-4826-0314)
- Xiaoshu Liu (ORCID: https://orcid.org/0000-0001-9233-1576)
- Liqing Yang (ORCID: https://orcid.org/0000-0003-4444-559X)
- Song Jun-mei
Institutions
- University of Electronic Science and Technology of China (CN)
Publication Details
- Journal
- Frontiers in Cellular and Infection Microbiology
- Published
- 2025-09-29
- DOI
- https://doi.org/10.3389/fcimb.2025.1630446
- Primary Topic
- Single-cell and spatial transcriptomics
- Type
- article
- Field-Weighted Citation Impact
- 0.00