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. 2012 Mar;27(3):610-8.
doi: 10.1002/jbmr.1467.

The association between insulin levels and cortical bone: findings from a cross-sectional analysis of pQCT parameters in adolescents

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Free PMC article

The association between insulin levels and cortical bone: findings from a cross-sectional analysis of pQCT parameters in adolescents

Adrian Sayers et al. J Bone Miner Res. 2012 Mar.
Free PMC article

Abstract

Recent studies suggest that patients with type 2 diabetes mellitus are at increased risk of fracture, possibly because hyperinsulinemia is a risk factor for low bone mineral density, which may in turn be a consequence of a lipotoxic effect of visceral and/or intramuscular fat on bone. In the current study, we investigated whether insulin plays a role in cortical bone development by performing a cross-sectional study based on the Avon Longitudinal Study of Parents and Children (ALSPAC), where we examined associations between fasting insulin levels and peripheral quantitative computed tomography (pQCT) parameters as assessed at the mid-tibia in 2784 boys and girls with a mean age 15.5 years. In particular, we wished to examine whether associations that we observed were independent of body composition, including intramuscular fat. We found that insulin was inversely related to cortical bone mineral density (BMD(C)) after adjustment for age and after further adjustment for height, muscle cross-sectional area (MCSA), subcutaneous fat (SAT), and muscle density (MD), which is inversely related to intramuscular fat (-0.018, 95% confidence interval [CI] -0.030, -0.006, p < 0.0001). Insulin was positively related to periosteal circumference (PC) after adjusting for age (0.015, 95% CI 0.003, 0.027, p = 0.015; beta = change per 50% increase in insulin), but this changed to an inverse association after additional adjustment for height and body composition (-0.013, 95% CI -0.022, -0.003, p = 0.008). Path analyses revealed inverse associations between insulin and PC via a direct pathway (-0.012, 95% CI -0.022, -0.003, p = 0.01) and via MD (-0.002, 95% CI -0.004, -0.001, p = 0.0004), and positive associations between insulin and PC via SAT (0.013, 95% CI 0.009, 0.016, p < 0.0001) and MCSA (0.015, 95% CI 0.010, 0.020, p < 0.0001). In conclusion, we found an inverse relationship between insulin and PC via intramuscular fat, suggesting a lipotoxic effect on bone. However, an inverse association between insulin and both PC and BMD(C) persisted after adjusting for all body composition variables, suggesting insulin also acts to inhibit bone development via additional pathways yet to be elucidated.

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Figures

Fig. 1
Fig. 1
Diagram showing the source of subjects for main analyses and for sensitivity analyses based on the subset of subjects for which information was available on Tanner stage and socioeconomic status.
Fig. 2
Fig. 2
Path diagram depicting relationships between fasting insulin and periosteal circumference (PC) in 1344 boys and 1440 girls combined. The model is constrained to show the effects via muscle cross-sectional area (MSCA), muscle density, subcutaneous fat area (SAT), and a “direct” pathway after adjusting for body composition. Solid lines depict positive effects and broken lines depict negative effects. The thickness of the line represents the strength of each pathway, reflected by beta (β) estimates, which were derived from regressions between fasting insulin and indices of body composition as shown in Table 2 and between indices of body composition and PC as follows: MCSA versus PC, beta = 0.175 (95% CI 0.161 to 0.189); SAT versus PC, beta = 0.043 (95% CI 0.031 to 0.054); muscle density versus PC, beta = 0.025 (95% CI 0.007 to 0.043).
Fig. 3
Fig. 3
Path diagram depicting relationships between fasting insulin and periosteal circumference (PC) in (A) 1344 boys and (B) 1440 girls. The model is constrained to show the effects via muscle cross-sectional area (MSCA), muscle density, subcutaneous fat area (SAT), and a “direct” pathway after adjusting for body composition. Solid lines depict positive effects and broken lines depict negative effects. The thickness of the line represents the strength of each pathway, reflected by beta (β) estimates, which were derived from regressions between fasting insulin and indices of body composition as shown in Table 2 and between indices of body composition and PC. Boys: MCSA versus PC, beta = 0.161 (95% CI 0.142 to 0.18); SAT versus PC, beta = 0.034 (95% CI 0.019 to 0.049); muscle density versus PC, beta = 0.02 (95% CI −0.004 to 0.044). Girls: MCSA versus PC, beta = 0.191 (95% CI 0.17 to 0.212); SAT versus PC, beta = 0.053 (95% CI 0.035 to 0.071); muscle density versus PC, beta = 0.03 (95% CI 0.002 to 0.057).

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