Machine learning-driven prediction model for cuproptosis-related genes in spinal cord injury: construction and experimental validation
This study revealed a close association between SCI and cuproptosis. Abnormal expression of the four candidate genes affects mitochondrial function, energy metabolism, oxidative stress, and the immune response, which is detrimental to the recovery of neurological function in SCI. However, this study has some limitations, such as unidentified SRGs, a small sample size. Future research requires more in vitro and in vivo experiments to deeply explore regulatory mechanisms and develop intervention methods.
Authors
- Xiaohong Mu (ORCID: https://orcid.org/0000-0002-0075-2320)
- Rong‐Rong He (ORCID: https://orcid.org/0000-0001-5505-5672)
- Zixiu Wang
- Chaozong Liu (ORCID: https://orcid.org/0000-0002-9854-4043)
- Liqi Ng (ORCID: https://orcid.org/0000-0002-7049-0012)
- Yimin Zhou
- Yu Zhou (ORCID: https://orcid.org/0000-0002-3065-4625)
- Xin Li (ORCID: https://orcid.org/0000-0003-3951-8061)
- Gang Liu
- Xiao Fan (ORCID: https://orcid.org/0009-0002-3766-6917)
Institutions
- Qingdao University (CN)
- Royal National Orthopaedic Hospital (GB)
- Gannan Medical University (CN)
- Qingdao Municipal Hospital (CN)
- Dongzhimen Hospital Affiliated to Beijing University of Chinese Medicine (CN)
- Changchun University of Chinese Medicine (CN)
- The Affiliated Yongchuan Hospital of Chongqing Medical University (CN)
- First People's Hospital of Chongqing (CN)
- University College London (GB)
- Chongqing Medical University (CN)
Publication Details
- Journal
- Frontiers in Neurology
- Published
- 2025-04-23
- DOI
- https://doi.org/10.3389/fneur.2025.1525416
- Citations
- 4
- Primary Topic
- Mitochondrial Function and Pathology
- Type
- article
- Field-Weighted Citation Impact
- 3.22
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation