Lower trabecular bone score in type 2 diabetes mellitus: A role for fat mass and insulin resistance beyond hyperglycaemia.

Diabetes Metab

Bone Metabolic Unit, Endocrinology and Nutrition Division. University Hospital Clínico San Cecilio. Av. de la Ilustración, s/n, 18016, Granada, Spain; Instituto de Investigación Biosanitaria de Granada (Ibs.GRANADA). Av. Madrid 15, 18012, Granada, Spain; CIBERFES, Instituto de Salud Carlos III. C/ Sinesio Delgado, 4, 28029, Madrid, Spain; Department of Medicine. University of Granada. Av. de la Investigación, 11, 18016, Granada, Spain. Electronic address:

Published: November 2021

Aims: To examine the clinical and biochemical determinants of trabecular bone score (TBS) in type 2 diabetes mellitus (T2DM) patients.

Methods: Cross-sectional observational study in 137 T2DM patients (49-85 years). Whole-body fat percentage was estimated using the relative fat mass (RFM) equation. Bone mineral density (BMD) and TBS were assessed using dual-energy X-ray absorptiometry and TBS iNsight Software respectively.

Results: T2DM patients showed significantly lower TBS values (P < 0.001) despite significantly higher lumbar spine BMD (LS-BMD) (P = 0.025) compared to controls. TBS values ​​were negatively correlated with body mass index (BMI) (P < 0.001), waist circumference (P < 0.001), and HOMA-2IR index (P = 0.004) and positively correlated with sex hormone-binding globulin (SHBG) (P = 0.01) and LS-BMD (P = 0.003). RFM was negatively associated with TBS in both males (P < 0.001) and females (P = 0.005). The multivariate analysis showed that RFM, HOMA2-IR (negative), SHBG, and LS-BMD (positive) were the variables independently associated with TBS. ROC analysis revealed RFM as the variable with the highest predictive value for risk of degraded bone microarchitecture.

Conclusions: The adiposity estimated by RFM may negatively affect TBS and this relationship may be influenced by insulin resistance and SHBG. RFM could act as a key estimator of degraded bone microarchitecture risk in the T2DM population.

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http://dx.doi.org/10.1016/j.diabet.2021.101276DOI Listing

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