Ge Xiaoting, He Junxiu, Zheng Yuan, Wang Qiuyue, Cheng Hong, Bao Yu, Lin Sencai, Yang Xiaobo
School of Medicine, Guangxi University of Science and Technology, Liuzhou, 545006, China.
School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Biol Trace Elem Res. 2025 Apr;203(4):1991-2000. doi: 10.1007/s12011-024-04316-z. Epub 2024 Jul 29.
To investigate a cross-sectional association between blood metal mixture and myocardial enzyme profile, we quantified creatine kinase (CK), creatine kinase-MB (CK-MB), lactate dehydrogenase (LD), α-hydroxybutyrate dehydrogenase (α-HBD), and aspartate transaminase (AST) levels among participants from the manganese-exposed workers healthy cohort (MEWHC) (n = 544). The levels of 22 metals in blood cells were determined using inductively coupled plasma mass spectrometry. The least absolute shrinkage and selection operator (LASSO) penalized regression model was utilized for screening metals. The exposure-response relationship between specific metal and myocardial enzyme profile was identified by general linear regression and restricted cubic spline analyses. The overall effect and interactions were evaluated using Bayesian kernel machine regression (BKMR). Manganese was linearly and positively associated with CK (P = 0.019, P = 0.307), dominating the positive overall effect of mixture exposure (manganese, arsenic, and rubidium) on CK level. Calcium and zinc were linearly and negatively associated with LD levels (P < 0.05, P > 0.05), and asserted dominance in the negative overall effect of metal mixtures (rubidium, molybdenum, zinc, nickel, cobalt, calcium, and magnesium) on LD level. Interestingly, we observed a U-shaped dose-response relationship of molybdenum with LD level (P < 0.001, P = 0.015), an interaction between age and calcium on LD level (P = 0.041), and an interaction between smoking and molybdenum on LD level (P = 0.035). Our study provides evidence that metal mixture exposure affects the myocardial enzyme profile. Additional investigation is required to confirm these associations, and to reveal the fundamental mechanisms involved.
为了研究血液中金属混合物与心肌酶谱之间的横断面关联,我们对来自锰暴露工人健康队列(MEWHC)(n = 544)的参与者的肌酸激酶(CK)、肌酸激酶同工酶MB(CK-MB)、乳酸脱氢酶(LD)、α-羟丁酸脱氢酶(α-HBD)和天冬氨酸转氨酶(AST)水平进行了量化。使用电感耦合等离子体质谱法测定血细胞中22种金属的含量。采用最小绝对收缩和选择算子(LASSO)惩罚回归模型筛选金属。通过一般线性回归和受限立方样条分析确定特定金属与心肌酶谱之间的暴露-反应关系。使用贝叶斯核机器回归(BKMR)评估总体效应和相互作用。锰与CK呈线性正相关(P = 0.019,P = 0.307),在混合物暴露(锰、砷和铷)对CK水平的正向总体效应中占主导地位。钙和锌与LD水平呈线性负相关(P < 0.05,P > 0.05),并在金属混合物(铷、钼、锌、镍、钴、钙和镁)对LD水平的负向总体效应中占主导地位。有趣的是,我们观察到钼与LD水平呈U形剂量反应关系(P < 0.001,P = 0.015),年龄与钙对LD水平存在相互作用(P = 0.041),吸烟与钼对LD水平存在相互作用(P = 0.035)。我们的研究提供了证据表明金属混合物暴露会影响心肌酶谱。需要进一步的研究来证实这些关联,并揭示其中涉及的基本机制。