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Updated: May 15, 2026

An Anaerobic Biosensor Assay for the Detection of Mercury and Cadmium
Published on: December 17, 2018
Association of heavy metal mixtures with liver function biomarkers: multi-model analysis identifies cadmium as the
Honglong Zhang1,2, Xingwang Zhu2, Meng Tian2,3
1Department of Breast and Thyroid Surgery, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Background:
Evidence regarding the hepatotoxic effects of co-exposure to multiple heavy metals in the general middle-aged and older adults population remains limited. This study aimed to investigate the association between heavy metal mixtures and liver function in the population of Northwest China, with key findings supported using an animal model.
Methods:
We conducted a cross-sectional study involving 451 participants from the Dongdagou Xinglong cohort. Concentrations of heavy metals and liver function indices were measured. Multiple linear regression, Bayesian kernel machine regression (BKMR), weighted quantile sum (WQS), and quantile-based g-computation (Qgcomp) regression were employed to evaluate the combined effects of co-exposure to multiple heavy metals on liver function. A sub-chronic cadmium (Cd) exposure rat model was further established to validate population-based findings.
Results:
Multiple linear regression analysis revealed that blood Cd was positively correlated with GGT (β = 0.236), TBA (β = 0.162), ALT (β = 0.142) and AST (β = 0.114), while negatively correlated with DBil (β = -0.207), TBil (β = -0.166) and IBil (β = -0.157) (all P < 0.05). Similarly, other heavy metals also exhibited significant associations with liver function indicators. BKMR analysis showed that heavy metal mixture exposure was positively associated with ALT, AST, ALP, GGT, CHE, and TBA, but negatively associated with TBil, DBil, and IBil; WQS regression indicated that positive associations between the metal mixture and GGT as well as CHE; and the Qgcomp model demonstrated that the metal mixture was positively associated with ALT, GGT, and TBA, and negatively associated with TBil, DBil, and IBil. Notably, all three statistical models consistently identified Cd as the factor associated with liver function biomarkers. Furthermore, animal experiments provided experimental evidence consistent with the human findings: Cd exposure led to elevated serum GGT and ALP levels and induced histopathological alterations in the liver. Transcriptomic sequencing suggested that hepatic lipid metabolism pathways may be involved in Cd-induced liver injury.
Conclusions:
Overall, our study shows that co-exposure to heavy metals is associated with liver function biomarkers in middle-aged and older adults, with Cd identified as the predominant factor associated with liver function biomarkers.
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