Integrative transcriptomic profiling and machine learning reveal hypoxia-associated molecular signatures for precision diagnosis in thyroid eye disease
This study presents a novel hypoxia biomarkers-based diagnostic model for TED, facilitating early detection and offering valuable insights into potential therapeutic targets.
Authors
- Tianyi Zhu (ORCID: https://orcid.org/0000-0001-8192-6304)
- Weijin Qian (ORCID: https://orcid.org/0000-0003-4775-550X)
- Lianfei Fang
- Yinwei Li (ORCID: https://orcid.org/0000-0002-0002-186X)
- Jin Liu (ORCID: https://orcid.org/0000-0002-5707-2078)
- Yining Wei
- Yang Li (ORCID: https://orcid.org/0000-0001-9055-2332)
- Jing Sun (ORCID: https://orcid.org/0000-0002-4351-8796)
- Huifang Zhou
- Sijie Fang
Institutions
- Shanghai Eye Disease Prevention & Treatment Center (CN)
- Shanghai Ninth People's Hospital (CN)
Publication Details
- Journal
- Human Genomics
- Published
- 2025-11-24
- DOI
- https://doi.org/10.1186/s40246-025-00860-4
- Citations
- 1
- Primary Topic
- Retinal Imaging and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 1.36
Funders
- National Natural Science Foundation of China
- Shanghai Education Development Foundation
- Shanghai Municipal Education Commission
- Science and Technology Commission of Shanghai Municipality
- Shanghai Jiao Tong University
- School of Medicine, Shanghai Jiao Tong University