Wang Jihui, Zhang Xiyan, Zeng Yuzhuo, Xu Jing, Zhang Yong, Lu Xingwen, Wang Fei
Department of Orthopedics, The Fifth People's Hospital of Jinan, Jinan, 250000, China.
School of Environment and Climate, Guangdong Key Laboratory of Environmental Pollution and Health, Jinan University, Guangzhou, 510632, China.
Biometals. 2025 Apr;38(2):559-572. doi: 10.1007/s10534-024-00662-6. Epub 2025 Jan 20.
Bone mineral density (BMD) measured by T-score is strongly associated with bone health, but research on its association with metals in humans body remains limited. To investigate the relationship between metal exposure and BMD, numbers of 159 participants in eastern China were studied. Urine and blood samples were collected and levels of 20 metals in the samples were measured using Inductively Coupled Plasma-Mass Spectrometry (ICP-MS). Binary Logistic Regression model (BLR) and Generalized Linear Models (GLM) were used to explore the relationship between metals and BMD. Bayesian Kernel Machine Regression (BKMR) model was further used to explore the effect of multiple metal interactions on BMD. Six metals (Mn, Co, As, Se, Mo, Cd) were selected and the concentrations in blood and urine were compared using Wilcoxon and Spearman tests. In the single-metal model, BLR and GLM commonly showed positive significant correlations between four metals (As, Mo, Se, Sn) in urine and BMD. Strong correlations between five metals (Mn, Co, As, Se, Mo) in blood and urine were observed (P ≤ 0.05). The BKMR model indicated a predominant synergistic effect of urine Mo and Sn, increased co-exposure to these metals is associated with a higher trend of BMD. These findings suggest that exposure to metals is associated with an increased level of BMD in humans. To better understand the impact of metals on bone health, further investigation into the common roles of these metals and their interactions is needed.
通过T值测量的骨矿物质密度（BMD）与骨骼健康密切相关，但关于其与人体中金属关联的研究仍然有限。为了研究金属暴露与BMD之间的关系，对中国东部地区的159名参与者进行了研究。收集了尿液和血液样本，并使用电感耦合等离子体质谱法（ICP-MS）测量了样本中20种金属的含量。采用二元逻辑回归模型（BLR）和广义线性模型（GLM）来探讨金属与BMD之间的关系。进一步使用贝叶斯核机器回归（BKMR）模型来探究多种金属相互作用对BMD的影响。选择了六种金属（锰、钴、砷、硒、钼、镉），并使用威尔科克森检验和斯皮尔曼检验比较了血液和尿液中的浓度。在单金属模型中，BLR和GLM通常显示尿液中的四种金属（砷、钼、硒、锡）与BMD之间存在显著正相关。观察到血液和尿液中的五种金属（锰、钴、砷、硒、钼）之间存在强相关性（P≤0.05）。BKMR模型表明尿液中的钼和锡具有主要的协同作用，这些金属的共同暴露增加与BMD升高趋势相关。这些发现表明，金属暴露与人体BMD水平升高有关。为了更好地理解金属对骨骼健康的影响，需要进一步研究这些金属的共同作用及其相互作用。
