PDF(Pubmed)
Abstract：
UNASSIGNED: Trace elements exist widely in the natural environment and mostly enter the human body through drinking water or various types of food, which has raised increasing health concerns. Exposure to a single or a few trace elements has been previously reported to be associated with oral cancer risk, but studies on other elements and combined effects are limited. This study aimed to comprehensively evaluate the independent and joint effects of 33 trace elements on oral cancer risk.
UNASSIGNED: The concentrations of 33 trace elements from the serum samples of 463 cases and 1,343 controls were measured using inductively coupled plasma mass spectrometry (ICP-MS). Propensity score matching was used to minimize the impact of potential confounders. Conditional logistic regression was utilized to evaluate the association of each element individually with oral cancer risk. Quantile g-computation and Bayesian kernel machine regression (BKMR) models were used to assess the joint effect of the overall element mixture and interactions.
UNASSIGNED: In single-element models, essential elements (Cu, Se, Zn, Sr, and Cr) and non-essential elements (As, Li, Th, Ce, Ti, and Sc) showed significant association with oral cancer risk. In multiple-element models, a quartile increase in overall non-essential elements was observed for a significant inverse association with oral cancer risk (β = -3.36, 95% CI: -4.22 to -2.51). The BKMR analysis revealed a potential beneficial joint effect of essential metals on the risk of oral cancer. Among these, higher levels of serum Zn and V exhibited an adverse effect, while serum Sr, Se, and Cu displayed favorable effects when all other essential elements were fixed at 25th or 50th percentiles. Of note, Se performed complex interactions among essential metals. As for non-essential elements, there were greater effect estimates for serum Th, Li, and Y when all other elements were held at the 75th percentile.
UNASSIGNED: This study provides supportive evidence that the overall mixture effect of essential and non-essential elements might be associated with oral cancer risk, especially for serum Zn, V, Cu, Sr, Se, Th, Li, and Y. Extensive prospective studies and other experiments are warranted to confirm our findings.
UNASSIGNED: The concentrations of 33 trace elements from the serum samples of 463 cases and 1,343 controls were measured using inductively coupled plasma mass spectrometry (ICP-MS). Propensity score matching was used to minimize the impact of potential confounders. Conditional logistic regression was utilized to evaluate the association of each element individually with oral cancer risk. Quantile g-computation and Bayesian kernel machine regression (BKMR) models were used to assess the joint effect of the overall element mixture and interactions.
UNASSIGNED: In single-element models, essential elements (Cu, Se, Zn, Sr, and Cr) and non-essential elements (As, Li, Th, Ce, Ti, and Sc) showed significant association with oral cancer risk. In multiple-element models, a quartile increase in overall non-essential elements was observed for a significant inverse association with oral cancer risk (β = -3.36, 95% CI: -4.22 to -2.51). The BKMR analysis revealed a potential beneficial joint effect of essential metals on the risk of oral cancer. Among these, higher levels of serum Zn and V exhibited an adverse effect, while serum Sr, Se, and Cu displayed favorable effects when all other essential elements were fixed at 25th or 50th percentiles. Of note, Se performed complex interactions among essential metals. As for non-essential elements, there were greater effect estimates for serum Th, Li, and Y when all other elements were held at the 75th percentile.
UNASSIGNED: This study provides supportive evidence that the overall mixture effect of essential and non-essential elements might be associated with oral cancer risk, especially for serum Zn, V, Cu, Sr, Se, Th, Li, and Y. Extensive prospective studies and other experiments are warranted to confirm our findings.
摘要：
■微量元素广泛存在于自然环境中，主要通过饮用水或各种食物进入人体，这引起了越来越多的健康问题。以前曾报道过暴露于单一或少数微量元素与口腔癌风险有关，但是对其他因素和综合影响的研究是有限的。本研究旨在全面评估33种微量元素对口腔癌风险的独立和联合影响。
■使用电感耦合等离子体质谱法（ICP-MS）测量了463例病例和1,343例对照的血清样品中33种微量元素的浓度。倾向得分匹配用于最小化潜在混杂因素的影响。使用条件逻辑回归来评估每个元素与口腔癌风险的关联。分位数g计算和贝叶斯核机回归（BKMR）模型用于评估整体元素混合物和相互作用的联合作用。
■在单元素模型中，必需元素(Cu，Se,Zn,Sr,和Cr)和非必要元素(As，Li,Th,Ce,Ti,和Sc）与口腔癌风险显着相关。在多元素模型中，总体非必要元素增加四分位数与口腔癌风险呈显著负相关(β=-3.36,95%CI:-4.22~-2.51).BKMR分析揭示了必需金属对口腔癌风险的潜在有益联合作用。其中,较高水平的血清Zn和V表现出不良影响，而血清Sr,Se,当所有其他必需元素固定在第25个或第50个百分位数时，Cu显示出良好的效果。值得注意的是，硒在必需金属之间进行复杂的相互作用。至于非必要元素，对血清Th有更大的影响估计，Li,和Y，当所有其他元素都保持在第75百分位数。
■这项研究提供了支持性证据，表明必需和非必需元素的整体混合效应可能与口腔癌风险有关，特别是血清锌，V,Cu,Sr,Se,Th,Li,和Y。需要进行广泛的前瞻性研究和其他实验来证实我们的发现。
■使用电感耦合等离子体质谱法（ICP-MS）测量了463例病例和1,343例对照的血清样品中33种微量元素的浓度。倾向得分匹配用于最小化潜在混杂因素的影响。使用条件逻辑回归来评估每个元素与口腔癌风险的关联。分位数g计算和贝叶斯核机回归（BKMR）模型用于评估整体元素混合物和相互作用的联合作用。
■在单元素模型中，必需元素(Cu，Se,Zn,Sr,和Cr)和非必要元素(As，Li,Th,Ce,Ti,和Sc）与口腔癌风险显着相关。在多元素模型中，总体非必要元素增加四分位数与口腔癌风险呈显著负相关(β=-3.36,95%CI:-4.22~-2.51).BKMR分析揭示了必需金属对口腔癌风险的潜在有益联合作用。其中,较高水平的血清Zn和V表现出不良影响，而血清Sr,Se,当所有其他必需元素固定在第25个或第50个百分位数时，Cu显示出良好的效果。值得注意的是，硒在必需金属之间进行复杂的相互作用。至于非必要元素，对血清Th有更大的影响估计，Li,和Y，当所有其他元素都保持在第75百分位数。
■这项研究提供了支持性证据，表明必需和非必需元素的整体混合效应可能与口腔癌风险有关，特别是血清锌，V,Cu,Sr,Se,Th,Li,和Y。需要进行广泛的前瞻性研究和其他实验来证实我们的发现。
