文卫华, 成会荣, 王攀, 李瑛. 砷冶炼厂工人微小RNA548和三价砷甲基转移酶mRNA表达水平与砷代谢产物的关系[J]. 环境与职业医学, 2015, 32(9): 820-823. DOI: 10.13213/j.cnki.jeom.2015.15173
引用本文: 文卫华, 成会荣, 王攀, 李瑛. 砷冶炼厂工人微小RNA548和三价砷甲基转移酶mRNA表达水平与砷代谢产物的关系[J]. 环境与职业医学, 2015, 32(9): 820-823. DOI: 10.13213/j.cnki.jeom.2015.15173
WEN Wei-hua , CHENG Hui-rong , WANG Pan , LI Ying . Expression Levels of mir548 and Arsenic (Ⅲ) Methyltransferase mRNA Involving Arsenic Metabolites in Workers of Arsenic Smelting Plant[J]. Journal of Environmental and Occupational Medicine, 2015, 32(9): 820-823. DOI: 10.13213/j.cnki.jeom.2015.15173
Citation: WEN Wei-hua , CHENG Hui-rong , WANG Pan , LI Ying . Expression Levels of mir548 and Arsenic (Ⅲ) Methyltransferase mRNA Involving Arsenic Metabolites in Workers of Arsenic Smelting Plant[J]. Journal of Environmental and Occupational Medicine, 2015, 32(9): 820-823. DOI: 10.13213/j.cnki.jeom.2015.15173

砷冶炼厂工人微小RNA548和三价砷甲基转移酶mRNA表达水平与砷代谢产物的关系

Expression Levels of mir548 and Arsenic (Ⅲ) Methyltransferase mRNA Involving Arsenic Metabolites in Workers of Arsenic Smelting Plant

  • 摘要: 目的 探讨微小RNA548(mir548)和三价砷甲基转移酶(AS3MT) mRNA表达及其与砷甲基化代谢产物的关系。

    方法 2011年9月采用整群抽样的方法选择云南某2个砷冶炼厂78名工人作为接触组,选择该地非接触砷作业居民23人为对照组。使用带砷预处理系统的原子吸收分光光度法检测两组人群尿中的无机砷(iAs)、甲基砷酸(MMA)和二甲基砷酸(DMA)含量,并计算相应的百分含量和一、二级甲基化指数;通过基因分析软件分析影响AS3MT的主要mRNA。实时荧光定量PCR检测研究对象外周血mir548和AS3MT mRNA表达。采用Spearman方法对各项指标进行相关分析。

    结果 接触组尿中iAs、MMA、DMA、一级甲基化指数和MMA%的中位数为134.54、235.88、563.57 μg/g肌酐、1.61及19.01%,对照组为2.00、1.35、14.28 μg/g肌酐、1.04及6.45%,接触组均高于对照组(P<0.05)。二级甲基化指数和DMA%则为接触组低于对照组(P<0.05),分别为3.41、61.98%和12.31、78.01%。接触组外周血mir548表达低于对照组(5.08& #177;1.11与6.49& #177;1.68),AS3MT mRNA表达水平高于对照组(10.71& #177;2.52与9.19& #177;2.11),均P<0.01。相关分析发现:外周血淋巴细胞mir548与AS3MT mRNA表达及iAs、MMA、DMA及MMA%呈负相关关系(P<0.01);外周血AS3MT mRNA表达与尿中iAs、MMA、DMA、MMA%及外周血mir548表达与DMA%均呈正相关关系(P<0.01)。

    结论 mir548与AS3MTmRNA表达有负相关,两者与砷不同甲基化代谢产物浓度和百分含量存在关联。

     

    Abstract: Objective To explore the relationships of arsenic methylation metabolites with the expression of microRNA 548 (mir548) and arsenic (Ⅲ) methyltransferase (AS3MT) mRNA.

    Methods Workers exposed to arsenic (exposure group, n=78) from two arsenic smelting plant in Yunnan Province and local residents without occupational arsenic exposure (control group, n=23) were selected by cluster sampling in September 2011. Arsenic species including inorganic arsenic (iAs), monomethylarsonic (MMA), and dimethylarsinic acid (DMA) in urine were determined using atomic absorption spectrophotometer with arsenic speciation pretreatment system to calculate iAs%, MMA%, DMA%, primary methylation index (PMI), and secondary methylation index (SMI). The dominant mRNAs contributed to AS3MT were analyzed by gene analysis software. Real-time polymerase chain reaction (RT-PCR) was performed to detect the expressions of mir548 and AS3MT mRNA in peripheral blood samples. Spearman's correlation analysis was applied to analyze the correlation between the selected indicators.

    Results The medians of urinary iAs, MMA, DMA, PMI and MMA% of the exposure group134.54 μg/gCr, 235.88 μg/gCr, 563.57 μg/gCr, 1.61, and 19.01%, respectively were higher than the corresponding medians of the control group2.00 μg/gCr, 1.35μg/gCr, 14.28 μg/gCr, 1.04, and 6.45%, respectively (P<0.05). The SMI and DMA% (3.41 and 61.98%) in the exposure workers were lower than those in the controls (12.31 and 78.01%) (P<0.05). Significant differences were identified in the expressions of mir548 and AS3MT mRNA between the exposed workers (5.08& #177;1.11 and 10.71& #177;2.52) and the controls (6.49& #177;1.68 and 9.19& #177;2.11) (both P<0.01). Negative correlations of mir548 were found with AS3MT mRNA, iAS, MMA, DMA, or MMA%. There existed close positive correlations between AS3MT mRNA and iAs, MMA, DMA, MMA%, and also between mir548 and DMA% (P<0.01).

    Conclusion Negative correlations are identified between the expressions of mir548 and AS3MT mRNA, and both show significant associations with the concentrations or proportions of various arsenic methylated metabolites.

     

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