03/02/2026
Alkaline phosphatase (ALP) is produced by osteoblasts and serves as a marker of bone formation. When serum ALP is higher, particularly within the normal reference range, it often reflects accelerated bone turnover. In osteoporosis, this increased osteoblastic activity represents a compensatory response to excessive bone resorption, but because resorption outpaces formation, the net effect is progressive bone loss rather than bone gain. Large population-based studies, including analyses of NHANES (US National Health and Nutrition Examination Survey) data, consistently show that higher serum alkaline phosphatase is associated with lower bone mineral density and increased osteoporosis risk, a finding reinforced by multiple independent cohort studies demonstrating inverse correlations between ALP levels and bone density.
Now a group of scientists have taken this one step further, suggesting that an ALP higher than 72 IU/L (normal range 35 to 125 IU/L) may be considered as a tentative threshold for initiating further bone health investigation in adults.
This study examined the relationship between serum total ALP and osteoporosis in a large cross-sectional cohort of 12,835 adults undergoing routine health examinations in China. Osteoporosis was defined by DXA-measured bone mineral density at the spine or hip. Individuals with osteoporosis had significantly higher serum ALP levels than those without, and this association persisted after adjustment for age, s*x, body composition, metabolic parameters and liver enzymes. Non-linear modelling showed the relationship was strongest when ALP values were within the normal clinical range. Subgroup analyses indicated stronger associations in women, younger adults and metabolically healthier individuals. Although ALP showed a statistically significant association with osteoporosis, its discriminatory performance was weak (ROC AUC 0.62). The authors concluded that higher “normal-range” ALP likely reflects increased bone turnover and may serve as a contextual risk signal prompting further bone health assessment, rather than a diagnostic marker for osteoporosis.
ROC stands for Receiver Operating Characteristic and refers to a curve that shows how well a test separates people with a condition from those without, across all possible cut-off values. AUC, or Area Under the Curve, is the single summary number from that curve and indicates how often the test correctly ranks a person with disease as higher risk than someone without. An ROC AUC of 0.62 means the test performs better than chance (0.5) but has limited ability to discriminate on its own. It basically means that the correlation is correct 62% of the time. The main reason that the correlation is not higher is that tissues other than bone also impact on serum ALP, especially the gut and the liver.
Nonetheless, the findings provide a useful insight into the limited but clinically informative predictive value of a routinely measured blood parameter for bone health risk.
For more information see: https://www.frontiersin.org/journals/endocrinology/articles/10.3389/fendo.2025.1657631/full