Identification of aging-related biomarkers for intervertebral disc degeneration in whole blood samples based on bioinformatics and machine learning
These results highlight the diagnostic potential of AIDEGs and provide a new perspective for early intervention and treatment strategies in IVDD.
Authors
- Jie Pan (ORCID: https://orcid.org/0000-0002-7431-9837)
- Yahao Li (ORCID: https://orcid.org/0000-0002-9871-2094)
- Peng-fei Yu
- Kaiyang Xu (ORCID: https://orcid.org/0009-0002-5351-4745)
- Hongchi Jiang (ORCID: https://orcid.org/0000-0001-8215-8984)
- Xiaorong Li (ORCID: https://orcid.org/0000-0003-0641-2797)
- Yucheng Wang (ORCID: https://orcid.org/0000-0003-2124-594X)
- Jintao Liu (ORCID: https://orcid.org/0000-0002-7965-4837)
- Shuyu Li (ORCID: https://orcid.org/0000-0002-3402-4903)
- Zhijia Ma
- Zhenyu Tang (ORCID: https://orcid.org/0000-0002-6998-2669)
- Zhen Tan (ORCID: https://orcid.org/0000-0002-3651-1916)
- Zi-Hang Li
- Yuxiang Dai (ORCID: https://orcid.org/0000-0003-2479-8996)
Institutions
- Nanjing University of Chinese Medicine (CN)
- Wenzhou Hospital of Traditional Chinese Medicine (CN)
- Shanghai University of Traditional Chinese Medicine (CN)
- Longhua Hospital Shanghai University of Traditional Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Immunology
- Published
- 2025-04-15
- DOI
- https://doi.org/10.3389/fimmu.2025.1565945
- Citations
- 3
- Primary Topic
- Spine and Intervertebral Disc Pathology
- Type
- article
- Field-Weighted Citation Impact
- 4.41