Identification of Cystatin 3 as a Potential Diagnostic Biomarker for Osteoporosis Using Machine Learning
This study found that CST3 is related to the pathogenesis of osteoporosis and may represent a promising biomarker associated with osteoporosis progression, which could be explored as a potential therapeutic target in future studies. Its potential mechanisms involve the association of CST3 with the regulation of extracellular matrix decomposition, collagen metabolism, calcium ion transmembrane transport, as well as immune cell infiltration and its function in osteoporosis. It should be clearly stated that this study still lacks direct functional evidence and verification with large-scale clinical samples. Therefore, these findings still need to be verified by more animal experiments and clinical trials, and the specific molecular mechanisms require further in-depth research.
Authors
- Yiqi Feng (ORCID: https://orcid.org/0000-0002-8273-5013)
- Hongyu Liu (ORCID: https://orcid.org/0000-0003-1050-191X)
- Buling Wu (ORCID: https://orcid.org/0000-0002-9678-6962)
- Binbin Lin (ORCID: https://orcid.org/0000-0002-7013-283X)
- Lingling Zhang (ORCID: https://orcid.org/0000-0001-7423-3761)
- Jingyi Wu (ORCID: https://orcid.org/0000-0003-0047-6378)
Institutions
- Guangdong Province Stomatological Hospital (CN)
- Stomatology Hospital (CN)
- Southern Medical University Shenzhen Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Journal of Inflammation Research
- Published
- 2025-12-01
- DOI
- https://doi.org/10.2147/jir.s569594
- Citations
- 1
- Primary Topic
- Bone Metabolism and Diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.81