Association between Heavy metals and triglyceride-glucose-related index: a mediation analysis of inflammation indicators

作者：Yin Hu, Yuzhe Kong, Xinling Tian, Xinyi Zhang, Yu Zuo · 发表于：Lipids in Health and Disease · 年份：2025 · DOI：10.1186/s12944-025-02441-9 · 被引用次数：14 · 研究领域：Heavy Metal Exposure and Toxicity、Heavy metals in environment、Metabolomics and Mass Spectrometry Studies

BACKGROUND: In cardiovascular diseases (CVD) and insulin resistance (IR), elevated blood lipids and glucose are common. These abnormalities accelerate atherosclerosis and may impair insulin signaling via oxidative stress and inflammation. The triglyceride-glucose (TyG) index is a cost-effective marker for assessing IR and CVD risk, reflecting insulin resistance and early atherosclerosis. However, research on factors affecting the TyG index, especially mixed heavy metal exposure, is limited. Heavy metals might alter the TyG index by inducing oxidative stress and inflammation, affecting lipid and glucose metabolism. This study explores the link between heavy metal exposure and TyG index changes, focusing on inflammation's mediating role, aiming to offer new strategies for CVD and IR prevention and management. METHOD: This research explores the association between heavy metal concentrations and TyG indicators, drawing on data from the National Health and Nutrition Examination Survey spanning 2011 to 2016. It employs a range of statistical approaches, such as linear and non-linear analyses, multiple linear regression, weighted quantile sum regression, and Bayesian kernel machine regression. Additionally, a mediation analysis investigates the role of inflammation in modifying the effects of heavy metal exposure. RESULT: The research analyzed data from a sample of 2,050 individuals, finding notable links between mixed heavy metals and variations in TyG markers. Specifically, the pr...