Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
Department of Epidemiology and Biostatistics, Institute of Basic Medical Sciences Chinese Academy of Medical Sciences, School of Basic Medicine Peking Union Medical College, Beijing, 100005, China; Center of Environmental and Health Sciences, Chinese Academy of Medical Sciences, Peking Union Medical College, Beijing, 100005, China.
Chemosphere. 2023 Apr;319:137833. doi: 10.1016/j.chemosphere.2023.137833. Epub 2023 Jan 21.
Metals inevitably and easily enter into human bodies and can induce a series of pathophysiological changes, such as oxidative stress damage and lipid peroxidation, which then may further induce dyslipidemia. However, the effects of metals and metals mixture on the lipid profiles are still unclear, especially in older adults. A three-visits repeated measurement of 201 older adults in Beijing was conducted from November 2016 to January 2018. Linear Mixed Effects models and Bayesian kernel machine regression models were used to estimate associations of eight blood metals and metals mixture with lipid profiles, including total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C), Castelli risk indexes I (CRI-1), Castelli risk indexes II (CRI-2), atherogenic coefficient (AC), and non-HDL cholesterol (NHC). Cesium (Cs) was positively associated with TG (β = 0.14; 95% CI: 0.02, 0.26) whereas copper (Cu) was inversely related to TG (β = -0.65; 95%CI: -1.14, -0.17) in adjusted models. Manganese (Mn) was mainly related to higher HDL-C (β = 0.14; 95% CI: 0.07, 0.21) whereas molybdenum showed opposite association. Metals mixture was marginally positive associated with HDL-C, among which Mn played a crucial role. Our findings suggest that the effects of single metal on lipid profiles may be counteracted in mixtures in the context of multiple metal exposures; however, future studies with large sample size are still needed to focus on the detrimental effects of single metals on lipid profiles as well as to identify key components.
金属不可避免且容易进入人体，可引发一系列病理生理变化，如氧化应激损伤和脂质过氧化，进而可能导致血脂异常。然而，金属和金属混合物对脂质谱的影响仍不清楚，尤其是在老年人中。本研究于 2016 年 11 月至 2018 年 1 月期间对北京的 201 名老年人进行了三次重复测量。采用线性混合效应模型和贝叶斯核机器回归模型来评估八种血液金属和金属混合物与脂质谱的关联，包括总胆固醇（TC）、甘油三酯（TG）、高密度脂蛋白胆固醇（HDL-C）、低密度脂蛋白胆固醇（LDL-C）、Castelli 风险指数 I（CRI-1）、Castelli 风险指数 II（CRI-2）、致动脉粥样硬化系数（AC）和非高密度脂蛋白胆固醇（NHC）。调整模型后发现，铯（Cs）与 TG 呈正相关（β=0.14；95%CI：0.02，0.26），而铜（Cu）与 TG 呈负相关（β=-0.65；95%CI：-1.14，-0.17）。锰（Mn）主要与较高的 HDL-C 相关（β=0.14；95%CI：0.07，0.21），而钼表现出相反的关联。金属混合物与 HDL-C 呈边缘正相关，其中 Mn 起着关键作用。我们的研究结果表明，在多种金属暴露的情况下，单一金属对脂质谱的影响可能会在混合物中相互抵消；然而，未来仍需要更大样本量的研究来关注单一金属对脂质谱的有害影响，并确定关键成分。
