Development and validation of a novel prediction model for osteoporosis
We successfully developed and validated a novel prediction model for osteoporosis based on serum concentrations of serotonin, fat-soluble vitamins, and bone turnover markers. In addition, interactive communication between serotonin and fat-soluble vitamins was observed to be critical for bone health in this study.
Authors
- Jinna Dai
- Yan Meng (ORCID: https://orcid.org/0000-0002-3198-8061)
- Jinpeng Wang (ORCID: https://orcid.org/0000-0003-4379-7403)
- Jing Hang
- Lin Tao (ORCID: https://orcid.org/0000-0002-1702-9833)
- Chunjian Gu (ORCID: https://orcid.org/0009-0000-5034-4686)
- Lianfeng Shan (ORCID: https://orcid.org/0000-0001-9864-4864)
- Wenhai Cao (ORCID: https://orcid.org/0000-0002-1500-5715)
- Hongyang Li
Institutions
- Ministry of Education of the People's Republic of China (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking University (CN)
- National Clinical Research Center for Digestive Diseases (CN)
- First Hospital of China Medical University (CN)
- Peking University Third Hospital (CN)
- China Medical University (CN)
Publication Details
- Journal
- Bone and Joint Research
- Published
- 2025-02-18
- DOI
- https://doi.org/10.1302/2046-3758.142.bjr-2023-0409.r2
- Citations
- 5
- Primary Topic
- Vitamin K Research Studies
- Type
- article
- Field-Weighted Citation Impact
- 5.60