ArticleFrontiers in endocrinology2026
Exposure to heavy metals and trace elements and risk of dyslipidemia: a nested case-control analysis in rural adults.
Article in Frontiers in endocrinology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Exposure to some conventional metal trace elements has been found to be associated with abnormal blood lipids; however, evidence for combined exposure is inconclusive. This study aimed to explore the joint associations between multiple metal trace elements and dyslipidemia. Methods: In this nested case-control study, 782 subjects (391 cases and 391 controls, 1:1 case-to-control ratio) were selected from a cohort in Ningxia, China. Levels of 15 trace metals in serum were determined by inductively coupled plasma atomic emission spectrometry. Conditional logistic regression was used to analyze association of dyslipidemia. Bayesian kernel machine regression (BKMR) and weighted quantile sum regression (WQS) assessed the relationship between metal mixtures and dyslipidemia. Results: After adjusting for confounders, lithium (Li) and tin (Sn) were negatively associated with dyslipidemia, with Conclusions: Serum Li and Sn were associated with lower dyslipidemia risk in an observational study of this rural Chinese cohort. Li had an overall negative association with dyslipidemia in the metal mixtures. The potential interactions between metals warrant further investigation.
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