Hsu Benjumin, Seibel Markus J, Cumming Robert G, Blyth Fiona M, Naganathan Vasi, Bleicher Kerrin, Le Couteur David G, Waite Louise M, Handelsman David J
ANZAC Research Institute, University of Sydney and Concord Hospital, Sydney, New South Wales, Australia.
Centre of Education and Research on Ageing, University of Sydney and Concord Hospital, Sydney, New South Wales, Australia.
J Bone Miner Res. 2016 Dec;31(12):2115-2122. doi: 10.1002/jbmr.2904. Epub 2016 Jul 26.
This study aimed to examine progressive temporal relationships between changes in major reproductive hormones across three waves of a cohort study of older men and (1) changes in bone mineral density (BMD) and (2) incident fractures (any, hip or non-vertebral) over an average of 6 years of follow-up. The CHAMP cohort of men aged 70 years and older were assessed at baseline (2005 to 2007, n = 1705), 2-year follow-up (n = 1367), and 5-year follow-up (n = 958). Serum testosterone (T), dihydrotestosterone (DHT), estradiol (E2), and estrone (E1) (by liquid chromatography-tandem mass spectrometry [LC-MS/MS]), and sex hormone-binding globulin (SHBG), luteinizing hormone (LH), and follicle-stimulating hormone (FSH) (by immunoassay) were measured at all time-points, whereas free testosterone (cFT) was calculated using a well-validated formula. Hip BMD was measured by dual-energy X-ray absorptiometry (DXA) at all three time-points, and fracture data were verified radiographically. Statistical modeling was done using general estimating equations (GEEs). For total hip BMD, univariable analyses revealed inverse associations with temporal changes in serum SHBG, FSH, and LH and positive associations for serum E1 and cFT across the three time-points. In models adjusted for multiple covariables, serum SHBG (β = -0.029), FSH (β = -0.065), LH (β = -0.049), E1 (β = 0.019), and cFT (β = 0.033) remained significantly associated with hip BMD. However for femoral neck BMD, only FSH (β = -0.048) and LH (β = -0.036) remained associated in multivariable-adjusted models. Temporal change in serum SHBG, but not T, E2, or other hormonal variables, was significantly associated with any, nonvertebral or hip fracture incidence in univariable analyses. In multivariable-adjusted models, temporal increase in serum SHBG over time remained associated with any fracture (β = 0.060) and hip fracture (β = 0.041) incidence, but not nonvertebral fracture incidence. These data indicate that a progressive increase in circulating SHBG over time predicts bone loss and fracture risk in older men. Further studies are warranted to further characterize changes in circulating SHBG as a mechanism and/or biomarker of bone health during male ageing. © 2016 American Society for Bone and Mineral Research.
本研究旨在通过一项针对老年男性的队列研究的三个阶段,探讨主要生殖激素变化与(1)骨密度(BMD)变化以及(2)平均6年随访期间的骨折发生率(任何骨折、髋部骨折或非椎体骨折)之间的渐进性时间关系。对年龄在70岁及以上的CHAMP队列男性在基线时(2005年至2007年,n = 1705)、2年随访时(n = 1367)和5年随访时(n = 958)进行了评估。在所有时间点测量血清睾酮(T)、双氢睾酮(DHT)、雌二醇(E2)和雌酮(E1)(采用液相色谱 - 串联质谱法[LC - MS/MS]),以及性激素结合球蛋白(SHBG)、黄体生成素(LH)和卵泡刺激素(FSH)(采用免疫测定法),而游离睾酮(cFT)则使用经过充分验证的公式计算得出。在所有三个时间点通过双能X线吸收法(DXA)测量髋部BMD,并通过X线摄影验证骨折数据。使用广义估计方程(GEEs)进行统计建模。对于全髋BMD,单变量分析显示在三个时间点血清SHBG、FSH和LH的时间变化与之呈负相关,血清E1和cFT与之呈正相关。在针对多个协变量进行调整的模型中,血清SHBG(β = -0.029)、FSH(β = -0.065)、LH(β = -0.049)、E1(β = 0.019)和cFT(β = 0.033)仍与髋部BMD显著相关。然而,对于股骨颈BMD,在多变量调整模型中只有FSH(β = -0.048)和LH(β = -0.036)仍与之相关。在单变量分析中,血清SHBG的时间变化而非T、E2或其他激素变量与任何骨折、非椎体骨折或髋部骨折发生率显著相关。在多变量调整模型中,血清SHBG随时间的增加仍与任何骨折(β = 0.060)和髋部骨折(β = 0.041)发生率相关,但与非椎体骨折发生率无关。这些数据表明,随着时间的推移循环SHBG的逐渐增加可预测老年男性的骨质流失和骨折风险。有必要进一步开展研究,以进一步明确循环SHBG的变化作为男性衰老过程中骨骼健康的一种机制和/或生物标志物的特征。© 2016美国骨与矿物质研究学会。