Ge Xiaoting, Ye Guohong, He Junxiu, Bao Yu, Zheng Yuan, Cheng Hong, Feng Xiuming, Yang Wenjun, Wang Fei, Zou Yunfeng, Yang Xiaobo
Department of Public Health, School of Medicine, Guangxi University of Science and Technology, Liuzhou, 545006, China.
Department of Occupational Health and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, 530021, China.
Environ Sci Pollut Res Int. 2022 Dec;29(56):85103-85113. doi: 10.1007/s11356-022-21653-5. Epub 2022 Jul 6.
The majority of epidemiological investigations on metal exposures and lipid metabolism employed cross-sectional designs and focused on individual metal. We explored the associations between metal mixture exposures and longitudinal changes in lipid profiles and potential sexual heterogeneity. We recruited 250 men and 73 women, aged 40 years at baseline (2012), and followed them up in 2020, from the manganese-exposed workers healthy cohort. We detected metal concentrations of blood cells at baseline with inductively coupled plasma mass spectrometry. Lipid profiles were repeatedly measured over 8 years of follow-up. We performed sparse partial least squares (sPLS) model to evaluate multi-pollutant associations. Bayesian kernel machine regression was utilized for metal mixtures as well as evaluating their joint impacts on lipid changes. In sPLS models, a positive association was found between manganese and change in total cholesterol (TC) (beta = 0.169), while a negative association was observed between cobalt (beta = - 0.134) and change in low density lipoprotein cholesterol (LDL-C) (beta = - 0.178) among overall participants, which were consistent in men. Interestingly, rubidium was positively associated with change in LDL-C (beta = 0.273) in women, while copper was negatively associated with change in TC (beta = - 0.359) and LDL-C (beta = - 0.267). Magnesium was negatively associated with change in TC (beta = - 0.327). We did not observe the significantly cumulative effect of metal mixtures on lipid changes. In comparison to other metals, manganese had a more significant influence on lipid change [group PIP (0.579) and conditional PIP (0.556) for TC change in men]. Furthermore, male rats exposed to manganese (20 mg/kg) had higher levels of LDL-C in plasma and more apparent inflammatory infiltration, vacuolation of liver cells, nuclear pyknosis, and fatty change than the controls. These findings highlight the potential role of metal mixtures in lipid metabolism with sex-dependent heterogeneity. More researches are needed to explore the underlying mechanisms.
大多数关于金属暴露与脂质代谢的流行病学调查采用横断面设计，且聚焦于单一金属。我们探究了金属混合物暴露与脂质谱纵向变化之间的关联以及潜在的性别差异。我们从锰暴露工人健康队列中招募了250名男性和73名女性，基线时（2012年）年龄为40岁，并在2020年对他们进行随访。我们在基线时用电感耦合等离子体质谱法检测血细胞中的金属浓度。在8年的随访期间反复测量脂质谱。我们进行稀疏偏最小二乘法（sPLS）模型以评估多污染物关联。贝叶斯核机器回归用于金属混合物以及评估它们对脂质变化的联合影响。在sPLS模型中，在总体参与者中发现锰与总胆固醇（TC）变化呈正相关（β = 0.169），而钴（β = -0.134）与低密度脂蛋白胆固醇（LDL-C）变化呈负相关（β = -0.178），在男性中也是如此。有趣的是，铷与女性LDL-C变化呈正相关（β = 0.273），而铜与TC变化（β = -0.359）和LDL-C变化（β = -0.267）呈负相关。镁与TC变化呈负相关（β = -0.327）。我们未观察到金属混合物对脂质变化有显著的累积效应。与其他金属相比，锰对脂质变化有更显著的影响[男性TC变化的组PIP（0.579）和条件PIP（0.556）]。此外，暴露于锰（20mg/kg）的雄性大鼠血浆中LDL-C水平更高，炎症浸润、肝细胞空泡化、核固缩和脂肪变性比对照组更明显。这些发现凸显了金属混合物在脂质代谢中具有性别依赖性异质性的潜在作用。需要更多研究来探索其潜在机制。
