多种重金属暴露与中国中老年人群全身免疫炎症的关系。
Association between multiple-heavy-metal exposures and systemic immune inflammation in a middle-aged and elderly Chinese general population.
机构信息
Department of Occupational and Environmental Health, School of Public Health, Guangxi Medical University, Nanning, Guangxi Zhuang Autonomous Region, China.
Department of Epidemiology, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, Guangdong, China.
出版信息
BMC Public Health. 2024 Apr 29;24(1):1192. doi: 10.1186/s12889-024-18638-z.
BACKGROUND
Exposure to heavy metals alone or in combination can promote systemic inflammation. The aim of this study was to investigate potential associations between multiple plasma heavy metals and markers of systemic immune inflammation.
METHODS
Using a cross-sectional study, routine blood tests were performed on 3355 participants in Guangxi, China. Eight heavy metal elements in plasma were determined by inductively coupled plasma mass spectrometry. Immunoinflammatory markers were calculated based on peripheral blood WBC and its subtype counts. A generalised linear regression model was used to analyse the association of each metal with the immunoinflammatory markers, and the association of the metal mixtures with the immunoinflammatory markers was further assessed using weighted quantile sum (WQS) regression.
RESULTS
In the single-metal model, plasma metal Fe (log10) was significantly negatively correlated with the levels of immune-inflammatory markers SII, NLR and PLR, and plasma metal Cu (log10) was significantly positively correlated with the levels of immune-inflammatory markers SII and PLR. In addition, plasma metal Mn (log10 conversion) was positively correlated with the levels of immune inflammatory markers NLR and PLR. The above associations remained after multiple corrections. In the mixed-metal model, after WQS regression analysis, plasma metal Cu was found to have the greatest weight in the positive effects of metal mixtures on SII and PLR, while plasma metals Mn and Fe had the greatest weight in the positive effects of metal mixtures on NLR and LMR, respectively. In addition, blood Fe had the greatest weight in the negative effects of the metal mixtures for SII, PLR and NLR.
CONCLUSION
Plasma metals Cu and Mn were positively correlated with immunoinflammatory markers SII, NLR and PLR. While plasma metal Fe was negatively correlated with immunoinflammatory markers SII, NLR, and PLR.
背景
单独或联合暴露于重金属会促进全身炎症。本研究旨在探讨多种血浆重金属与全身免疫炎症标志物之间的潜在关联。
方法
采用横断面研究，对中国广西 3355 名参与者进行常规血液检测。采用电感耦合等离子体质谱法测定血浆中 8 种重金属元素。根据外周血白细胞及其亚型计数计算免疫炎症标志物。采用广义线性回归模型分析每种金属与免疫炎症标志物的相关性，并进一步采用加权分位数和（WQS）回归评估金属混合物与免疫炎症标志物的相关性。
结果
在单金属模型中，血浆金属 Fe（log10）与免疫炎症标志物 SII、NLR 和 PLR 水平呈显著负相关，血浆金属 Cu（log10）与免疫炎症标志物 SII 和 PLR 水平呈显著正相关。此外，血浆金属 Mn（log10 转换）与 NLR 和 PLR 免疫炎症标志物水平呈正相关。经多重校正后，上述相关性仍然存在。在混合金属模型中，经 WQS 回归分析后发现，血浆金属 Cu 在金属混合物对 SII 和 PLR 的正效应中具有最大权重，而血浆金属 Mn 和 Fe 在金属混合物对 NLR 和 LMR 的正效应中具有最大权重。此外，血液 Fe 在金属混合物对 SII、PLR 和 NLR 的负效应中具有最大权重。
结论
血浆金属 Cu 和 Mn 与免疫炎症标志物 SII、NLR 和 PLR 呈正相关。而血浆金属 Fe 与免疫炎症标志物 SII、NLR 和 PLR 呈负相关。
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