金属混合暴露与学龄儿童血清C3、C4水平的暴露-反应关系  

Relationship between mixed metals exposure and serum C3 and C4 levels in school-age children

作　　者：顾雯 王婷[1] 林杨[1] 孟庆玉 王振杰 吴难 张丽雅 王艳华 段化伟[1,3] GU Wen;WANG Ting;LIN Yang;MENG Qing-yu;WANG Zhen-jie;WU Nan;ZHANG Li-ya;WANG Yan-hua;DUAN Hua-wei(State Key Laboratory of Trauma and Chemical Poisoning/National Institute for Occupational Health and Poison Control,Chinese Centre for Disease Control and Prevention,Beijing 100050,China;China CDC Key Laboratory of Environment and Population Health/National Institute of Environmental Health,Chinese Center for Disease Control and Prevention,Beijing 100021,China;Key Laboratory of Chemical Safety and Health,Chinese Center for Disease Control and Prevention)

机构地区：[1]创伤与化学中毒全国重点实验室/中国疾病预防控制中心职业卫生与中毒控制所,北京100050 [2]中国疾病预防控制中心环境与人群健康重点实验室/中国疾病预防控制中心环境与健康相关产品安全所,北京100021 [3]中国疾病预防控制中心化学污染与健康安全重点实验室

出　　处：《环境卫生学杂志》2024年第8期621-627,共7页JOURNAL OF ENVIRONMENTAL HYGIENE

基　　金：国家自然科学基金(81872664)。

摘　　要：目的分析金属混合暴露对学龄儿童血清补体C3、C4水平的影响,评估金属污染物的免疫毒性。方法研究对象为华东地区某市250名12~15岁学龄儿童,利用电感耦合等离子体质谱法测定尿液中金属/类金属(以下称“金属”)浓度,全自动生化分析仪检测血清C3、C4水平。针对检出率大于90%的16种金属进行分析,利用多元线性回归分析单一金属暴露对补体的影响,利用弹性网络、贝叶斯核机器回归(BKMR)和分位数g计算回归分析金属混合暴露的影响。结果线性回归模型分析发现,尿铅每升高0.36μmol/mol肌酐,血清C4升高4.51%[假发现率(false discovery rate,FDR)=0.047];尿砷每升高20.06μmol/mol肌酐,血清C4降低5.44%(FDR=0.035)。在混合暴露效应分析中,弹性网络筛选出与血清C3相关性较大的金属为锰、镍、钨和铅,与血清C4相关性较大的为镍、砷、锶和铅。BKMR结果显示,血清C3浓度随混合暴露增加呈升高趋势但无统计学差异,血清C4浓度显著降低。分位数g计算回归结果显示,血清C3水平与金属混合暴露未见统计学差异(P=0.812),血清C4水平(ln转换)随混合暴露(ln转换)每增加25%降低0.041(95%CI:-0.079~-0.002,P=0.042)。混合暴露中尿砷对血清C4浓度降低贡献程度最大,其次为尿镍。结论儿童血清C4水平降低与金属混合暴露显著相关,砷和镍是血清补体水平降低的关键组分。Objective To investigate the effects of mixed metal exposure on serum complement C3 and C4 levels in school-age children and to assess the immunotoxicity of metal pollutants.Methods Two hundred and fifty school-age children aged 12-15 years from a city in eastern China were selected as the subjects.The urinary metal/metalloid(hereinafter referred to as“metal”)concentration was measured using inductively coupled plasma mass spectrometry,and serum C3 and C4 levels using an automatic biochemical analyzer.Analyses were performed for 16 metals with detection rates greater than 90%.The effects of single metal exposure on complements were analyzed by multiple linear regression,and the effects of mixed metal exposure by elastic net regression,Bayesian kernel machine regression(BKMR),and quartile g-computation regression.Results It was found by the linear regression model analysis that serum C4 increased by 4.51%for every 0.36μmol/mol creatinine increase in urinary lead(false discovery rate[FDR]=0.047),and serum C4 decreased by 5.44%for every 20.06μmol/mol creatinine increase in urinary arsenic(FDR=0.035).In the effect analysis of mixed exposure,the elastic net regression identified the metals with a high correlation with serum C3 as manganese,nickel,tungsten,and lead,and the metals with a high correlation with serum C4 as nickel,arsenic,strontium,and lead.The BKMR results showed that the serum C3 concentration tended to be higher but not statistically different with increasing mixed exposure,and the serum C4 concentration was significantly lower.The quantile g-computation regression showed that serum C3 levels were not statistically different from mixed metal exposure(P=0.812),and serum C4 levels(ln conversion)decreased by 0.041 with every 25%increase in mixed exposure(ln conversion)(95%confidence interval:-0.079 to-0.002,P=0.042).Urinary arsenic contributed the most to the reduction in serum C4 concentrations in mixed exposure,followed by urinary nickel.Conclusion Exposure to mixed metals is able to cause reductio

关 键 词：砷 镍 补体 弹性网络 贝叶斯核机器回归 分位数g计算 

分 类 号：R12[医药卫生—环境卫生学] R134[医药卫生—公共卫生与预防医学]