# Proteomics of HRpQCT Bone Loss in Older Men

## TL;DR

This study identifies serum proteins linked to bone loss in older men, suggesting a new biomarker for predicting skeletal changes.

## Contribution

A 19-protein signature is shown to predict bone loss better than traditional markers.

## Key findings

- 16 proteins were robustly associated with skeletal change in older men.
- A 19-protein signature outperformed traditional markers in predicting bone loss (C statistic of 0.83).

## Abstract

The biological basis of bone loss in older people is unclear, and current biomarkers are of limited usefulness. We measured serum protein levels (SomaLogic 7K panel) in 230 men (84 + 3 years) and determined associations with HRpQCT change (distal radius, distal tibia) over ∼6 yrs, with adjustments for time between measures, age, height, weight and genomic principal components. Primary skeletal outcomes were total vBMD and failure load. Linear regression of proportional change in HRpQCT was used to assess protein associations. 16 proteins were robustly associated with skeletal change, 7 at the radius and 10 at the tibia, with only one protein associated with change at both measurement sites. In almost all cases, higher proteins levels were related to increased bone loss. Associations at the radius and tibia were concordant in direction, and associations with change in total vBMD and failure load were essentially the same. Associations with changes in DXA hip BMD were similar. FSH levels were most strongly (negatively) related to change. A 19-protein signature was much more strongly predictive of bone loss than traditional bone remodeling markers (C statistics: signature - 0.83, CTX – 0.58, P1NP – 0.54). In sum, serum protein levels were strongly associated with skeletal change, the association patterns were distinct at the radius and tibia, suggesting the biological pathways governing bone change at the two sites are unique. A protein signature may represent a powerful biomarker of bone loss.

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Source: https://tomesphere.com/paper/PMC12759738