骨质疏松症相关预测指标

Osteoporosis related prediction indicators

人口老龄化使骨质疏松症成为威胁中老年健康的社会公共问题。早期预测及时干预对于预防由骨质疏松性骨折引起的人群患病率及病死率升高意义重大。传统骨密度检测和血清学生化指标有助于预测骨质疏松症,但具有一定滞后性。近年来,骨质疏松症预测经历了从骨形态计量学到细胞、从细胞到蛋白质以及从蛋白质到基因的逐步深入发展。新型生物标志物不断涌现,全基因组关联研究和表观遗传学从基因层面解释骨质疏松症的发生机制,有望扩大骨质疏松症预测时间窗。本文就近年来骨质疏松症相关预测指标的发展及潜在应用价值进行综述。

The aging population makes osteoporosis become a social public problem threatening the health of middle-aged and elderly people.Early prediction and timely intervention are of great significance to reduce the morbidity and mortality of the population with osteoporotic fracture.Bone mineral density(BMD)and serum biochemical indexes are helpful to predict osteoporosis,but they are lagging.In recent years,the prediction of osteoporosis has experienced a gradual development from bone morphometry to cell,protein,and gene.New biomarkers are emerging,genome-wide association study and epigenetics can explain the pathogenesis of osteoporosis from the gene level,which is expected to expand the time range of osteoporosis prediction.This paper reviews the development and the potential application of the osteoporosis related prediction indicators in recent years.