Evaluation of relationship between biochemical parameters and osteoporosis in patients with β-thalassemia major
Abstract
Background: Osteoporosis is one of the late complications of β-Thalassemia major. The pathogenesis of osteoporosis depends on different factors. Ineffectiveness of hematopoiesis is the major factor, and the other factors are defected by hormonal functions or biochemical parameters. Osteoclasts hyperactivity in thalassemia increases the serum receptor activator of nuclear factor Kappa B ligand (RANKL), which plays a crucial role in bone development. This study aimed to evaluate the biochemical and hormonal parameters in patients with β-thalassemia major and their association with osteoporosis.
Materials and Methods: In this case-control study, 52 patients with β-thalassemia major and 23 with thalassemia minor as controls were enrolled. The patients’ Bone Mineral Density (BMD) was measured using the Dual Energy X-ray absorptiometry (DEXA) method, and 6 mL peripheral blood of the patients and controls was obtained to detect hormonal and biochemical parameters. Data were analyzed using ANOVA, Spearman correlation coefficient, and T-test.
Results: The mean of BMD in patients was 0.59±0.01 and 0.69±0.11 in femur and vertebrae, respectively. The biochemical parameters in the (patients/ controls) including calcium and alkaline phosphatase (ALK) were 9.1/ 10.2 mg/dL and 171.1/310 IU, respectively indicating a significant decrease (P< 0.05) compared to the controls. On the contrary, the mean levels of Ferritin and Zinc were 1914.18 µg/L and 113.92 mg/mL, respectively which were significantly increased (P= 0.015 and P=0.045, respectively). There was a negative correlation between the femurs BMD of patients with the RANKL level (r= - 0.8, p = 0.034) and the vertebrae BMD of patients with a Parathormone (PTH) level (r= - 0.8, P = 0.028).
Conclusion: The study results indicated that the hyperactivity of RANKL and PTH in thalassemia patients might cause osteoporosis; therefore, detecting biomarkers mentioned above could be useful to diagnose osteoporosis.