[Association between mixed metal element exposure and the risk of thyroid carcinoma: a case-control study].

OBJECTIVES

To investigate the association between urinary metal element concentrations and the risk of papillary thyroid carcinoma(PTC), to identify key risk factors, and to evaluate the combined effects and interactions of metal element exposure.

METHODS

A 1∶1 matched case-control study was adopted, including 189 pairs of newly diagnosed PTC patients and healthy controls matched by age and sex. Urinary concentrations of metal elements were measured using inductively coupled plasma mass spectrometry. Conditional logistic regression was applied to evaluate the associations of individual and mixed metal element exposure with PTC risk. Least absolute shrinkage and selection operator (LASSO) regression was used to screen for key metal elements. Weighted quantile sum (WQS) regression was employed to identify the main contributors to the mixture effect. Finally, a Bayesian kernel machine regression(BKMR) model was constructed to assess the overall effect of mixed metal element exposure and potential interactions among metal elements.

RESULTS

Multivariable conditional logistic regression showed that, in the model adjusted for multiple metal elements, elevated urinary concentra-tions of nickel, molybdenum, and barium were associated with an increased risk of thyroid carcinoma, with ORs (95%CIs) of 2.08 (1.53-2.96), 2.78 (1.68-4.77), and 2.42 (1.80-3.33), respectively; selenium and copper were negatively associated with thyroid carcinoma risk, with ORs (95%CIs) of 0.20 (0.15-0.37) and 0.31 (0.16-0.60), respectively. LASSO regression identified eight metal elements as key predictors: chromium, nickel, selenium, molybdenum, lead, iron, copper, and barium. WQS regression showed that nickel, barium, and molybdenum had relatively high weights in the positive constraint model, while copper and selenium had relatively high weights in the negative constraint model, suggesting that these metal elements may be major contributors to the overall mixture effect. The BKMR model indicated a nonlinear association between mixed metal element exposure and thyroid carcinoma risk, with potential effect modification among metal elements.

CONCLUSIONS

Nickel, molybdenum, and barium exposure may be risk factors for thyroid carcinoma, copper may have a protective effect, while association between selenium and thyroid carcinoma risk showed an inverted U-shaped pattern. The effect of mixed metal element exposure was characterized by non-linearity and concentration dependence, with potential interactions among different metal elements.