Objectives: Bone mineral density (BMD) is a complex trait resulting from the interplay of genetic and acquired factors. The objective of this study was to explore the influence of several anthropometric, lifestyle, genetic, and hormonal factors on BMD and analyze the possible differences in men and women.
Methods: We studied 572 individuals over 50 years of age (381 postmenopausal women and 191 men). Lumbar spine and femoral neck BMD were measured by dual energy x-ray absorptiometry. The free estrogen index (FEI) was calculated as the ratio of serum estradiol to sex hormone binding globulin in 241 individuals. Three polymorphisms in the genes coding for 17-hydroxylase/liase, sulfotransferase, and 5alpha-reductase were studied in DNA isolated from blood cells.
Results: Body mass index was strongly correlated to spine and femoral BMD both in women and in men (r = 0.32-0.49; P < 0.001). FEI was also independently correlated with spine BMD in both sexes (r = 0.23 and 0.34, P < 0.01), and with femoral neck in women (r = 0.30). Women with G alleles of the sulfotransferase gene tended to have higher spine BMD than those with C alleles (P = 0.025). No other genotype-related differences in BMD were found.
Conclusions: In conclusion, the results of this study point toward body weight and estradiol levels as major factors determining BMD both in women and in men. A common polymorphism of the sulfotransferase gene also appears to be associated to spine BMD in women.
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http://dx.doi.org/10.1530/eje.1.02318 | DOI Listing |
J Bone Miner Res
January 2025
San Francisco Coordinating Center, California Pacific Medical Center Research Institute and University of California, San Francisco, CA 94158, United States.
Bone mineral density (BMD) levels achieved on osteoporosis treatment are predictive of subsequent fracture risk, and T-score > -2.5 has been proposed as a minimum treatment target for women with osteoporosis. Knowing the likelihood of attaining target T-scores with different medications for different baseline BMD levels can help determine appropriate initial treatment for individual patients.
View Article and Find Full Text PDFMedicina (Kaunas)
January 2025
Division of Nephrology, Department of Internal Medicine, Cerrahpasa Medical Faculty, Istanbul University-Cerrahpaşa, Istanbul 34098, Turkey.
: Bone and mineral disease (BMD) is a prevalent complication of advanced chronic kidney disease (CKD). The risk of fractures can be assessed via dual-energy X-ray absorptiometry (DXA) and quantitative computed tomography (QCT). This study aims to evaluate the effectiveness of two imaging modalities in identifying bone mineral status in individuals with pre-dialysis chronic renal disease and to assess their correlation with bone turnover markers.
View Article and Find Full Text PDFBr J Radiol
January 2025
Department of Ultrasound, Institute of Ultrasound in Medicine and Engineering, Zhongshan Hospital, Fudan University, Shanghai, China.
Objectives: To evaluate the value of ultrasound (US) and shear wave velocity (SWV) to assess muscle in postmenopausal women with osteosarcopenia (OSP).
Methods: This study included 145 postmenopausal women, comprising 115 osteopenia/osteoporosis participants without sarcopenia (OP alone) and 30 OSP participants. All received the evaluation of bone mineral density (BMD), appendicular skeletal muscle mass index (ASMI), handgrip strength, calf circumference, 6-meter walking speed, and 5-time chair stand test.
BMC Nephrol
January 2025
Department of Nephrology, Zhabei Central Hospital of Jing'an District, No. 619 Zhonghua New Road, Shanghai, 20070, China.
Background: Osteoporosis and sarcopenia frequently occur in patients with end-stage renal disease undergoing hemodialysis (HD), and depression is also a common mental health issue in this population. Despite the prevalence of these conditions, the interrelationships among them remain poorly understood in HD patients.
Methods: In this multicenter cross-sectional study, 858 HD patients from 7 dialysis centers were recruited.
JBMR Plus
February 2025
Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC 3168, Australia.
Quantifying precision error for DXA, peripheral QCT (pQCT), and HR-pQCT is crucial for monitoring longitudinal changes in body composition and musculoskeletal outcomes. Agreement and associations between bone variables assessed using pQCT and second-generation HR-pQCT are unclear. This study aimed to determine the precision of, and agreement and associations between, bone variables assessed via DXA, pQCT, and second-generation HR-pQCT.
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