Associations of metals and metals mixture with lipid profiles: A repeated-measures study of older adults in Beijing

• Published in: Chemosphere (Oxford) Vol. 319; p. 137833
• Main Authors: Li, Ang, Li, Yanbing, Mei, Yayuan, Zhao, Jiaxin, Zhou, Quan, Li, Kai, Zhao, Meiduo, Xu, Jing, Ge, Xiaoyu, Xu, Qun
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 01.04.2023
• Subjects: Aged; Bayes Theorem; Bayesian kernel machine regression model; Beijing; Cholesterol; Cholesterol, HDL; Humans; Linear mixed-effects model; Lipid profiles; Manganese; Metals - toxicity; Metals mixture; Repeated-measures study; Triglycerides; Beijing; Repeated-measures study; Linear mixed-effects model; Metals mixture; Bayesian kernel machine regression model; Lipid profiles
• ISSN: 0045-6535; 1879-1298
• DOI: 10.1016/j.chemosphere.2023.137833

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 (βCs = 0.14; 95% CI: 0.02, 0.26) whereas copper (Cu) was inversely related to TG (βCu = −0.65; 95%CI: −1.14, −0.17) in adjusted models. Manganese (Mn) was mainly related to higher HDL-C (βMn = 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. [Display omitted] •Cu and Mn showed protective effects but Cs, Mo and Ni showed adverse effect on lipids.•The beneficial or harmful effects of single metal were counteracted in metals mixture.•A marginally positive association between metals mixture and HDL-C were observed.•Mn played a crucial role in elevating HDL-C concentration.•Possible interactions were observed between Pb and Cu, Cs and Mn, Cu and Mn.