Many people only discover that their bones have weakened once a scan confirms osteoporosis or after a fracture occurs.
This delay highlights a major public-health challenge: bone loss often develops silently, and many individuals go undiagnosed for years because screening programs typically focus only on those with clear risk factors.
A familiar enzyme gains renewed clinical attention
Standard blood tests already measure several markers linked to liver health, metabolism and inflammation.
Among them is alkaline phosphatase, an enzyme tied to both bone and liver activity. While more specialised bone-turnover markers exist, they are rarely used in everyday practice due to cost and complexity.
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This is why a new analysis from researchers in Chongqing, China, has drawn attention.
Their findings suggest that even small shifts in alkaline phosphatase may relate to early bone weakening, despite values remaining well within the normal medical range.
What researchers found – and why it matters
Using data from thousands of adults undergoing routine health exams, the team compared enzyme levels with DXA scans of the spine and hip.
A consistent pattern emerged: higher enzyme levels aligned with lower bone density. The association was strongest among younger adults, women and individuals with stable metabolic and liver markers, indicating that the enzyme most accurately reflects bone turnover when other systems aren’t interfering.
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Potential influencing factors include:
- Accelerated bone turnover increasing enzyme release
- Normal liver function clarifying the enzyme’s origin
- Metabolic disturbances masking bone-related signals
Implications for earlier detection
If future research supports these findings, alkaline phosphatase could become a practical marker for identifying individuals who should receive bone-density screening earlier than current guidelines suggest.
Such an approach could reduce the high number of undetected cases, a challenge seen worldwide.
Sources: News Medical and Frontiers
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This article is made and published by Mie Hermansen, who may have used AI in the preparation.