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.

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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
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article

Identification of Cystatin 3 as a Potential Diagnostic Biomarker for Osteoporosis Using Machine Learning

Yiqi Feng, Hongyu Liu, Buling Wu, Binbin Lin et al.
1 citations
Journal of Inflammation Research
Bone Metabolism and Diseases
0.81
article

Identification of Cystatin 3 as a Potential Diagnostic Biomarker for Osteoporosis Using Machine Learning

Yiqi Feng, Hongyu Liu, Buling Wu, Binbin Lin, Lingling Zhang, Jingyi Wu
article en
1 citations

Abstract

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.

Journal of Inflammation ResearchVol. Volume 18
Guangdong Province Stomatological Hospital (CN), Stomatology Hospital (CN), Southern Medical University Shenzhen Hospital (CN), Southern Medical University (CN)
Openalex Percentile: Top 21%
Bone Metabolism and Diseases
0.81
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Identification of Cystatin 3 as a Potential Diagnostic Biomarker for Osteoporosis Using Machine Learning — Yiqi Feng, Hongyu Liu, et al. · Journal of Inflammation Research (2025) | TGRS Research Map | TGRS