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

Abstract

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 presence of heavy metal mixtures was associated with significant increases in these indicators. Additionally, six inflammatory markers were identified that act as intermediaries in the process leading from heavy metal exposure to alterations in TyG indicators.

Conclusion: The study establishes a clear association between heavy metal and adverse changes in TyG markers, influenced in part by inflammation. These insights highlight the urgent need for improved monitoring of environmental health and specific strategies to decrease heavy metal exposure, thus lessening their harmful impact on cardiovascular health. The research enhances understanding of the dynamic interactions between environmental exposures and metabolic health, laying groundwork for public health initiatives aimed at curtailing chronic disease risks linked to heavy metals.