Potential Biomarkers to Improve the Prediction of Osteoporotic Fractures.

07:00 EST 1st March 2020 | BioPortfolio

Summary of "Potential Biomarkers to Improve the Prediction of Osteoporotic Fractures."

Osteoporotic fracture (OF) is associated with high disability and morbidity rates. The burden of OF may be reduced by early identification of subjects who are vulnerable to fracture. Although the current fracture risk assessment model includes clinical risk factors (CRFs) and bone mineral density (BMD), its overall ability to identify individuals at high risk for fracture remains suboptimal. Efforts have therefore been made to identify potential biomarkers that can predict the risk of OF, independent of or combined with CRFs and BMD. This review highlights the emerging biomarkers of bone metabolism, including sphongosine-1-phosphate, leucine-rich repeat-containing 17, macrophage migration inhibitory factor, sclerostin, receptor activator of nuclear factor-κB ligand, and periostin, and the importance of biomarker risk score, generated by combining these markers, in enhancing the accuracy of fracture prediction.


Journal Details

This article was published in the following journal.

Name: Endocrinology and metabolism (Seoul, Korea)
ISSN: 2093-5978
Pages: 55-63


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Osteoporosis is a disease in which the bones become extremely porous, are subject to fracture, and heal slowly, occurring especially in women following menopause and often leading to curvature of the spine from vertebral collapse. Follow and track&n...

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