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CUMULATIVE PM2.5 EXPOSURE AND TELOMERE LENGTH IN WORKERSEXPOSED TO WELDING FUMES

机译:工人的累积PM2.5暴露量和末梢长度暴露于焊接烟雾

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摘要

Telomeres are genomic structures that reflect both mitotic history and biochemical trauma to the genome. Metals inherent in fine particulate matter (PM2.5) were shown to be genotoxic via oxidative damage. However, few studies investigated the induction time of cumulative PM2.5 exposure on telomere length in a longitudinal setting. Therefore, the purpose of this study was to assess the association between occupational PM2.5 exposure in various time windows and telomere length. The study population consisted of 48 boilermakers and the follow-up period was 8 yr. The main exposures were cumulative occupational PM2.5 in the month, year, and career prior to each blood draw, assessed via work history questionnaires and area air measures. Repeated telomere length measurements from leukocytes were assessed via real-time quantitative polymerase chain reaction (qPCR). Analysis was performed using linear mixed models controlling for confounders and white blood cell differentials. Cumulative PM2.5 exposure was treated continuously and categorized into quartiles, in separate analyses. At any follow-up time, for each milligram per cubic meter per hour increase in cumulative PM2.5 exposure in the prior month, there was astatistically significant decrease in relative telomere length of −0.04units. When categorizing the exposure into quartiles, there was a significantnegative association between telomere length and highest quartile of cumulativePM2.5 exposure in the prior month (−0.16). These findingssuggest that genomic trauma to leukocyte telomeres was more consistent withrecent occupational PM2.5 exposure, as opposed to cumulative exposureextending into the distant past.
机译:端粒是反映有丝分裂历史和对基因组的生化损伤的基因组结构。细颗粒物(PM2.5)中固有的金属经氧化损伤具有遗传毒性。然而,很少有研究在纵向条件下研究累积的PM2.5暴露对端粒长度的诱导时间。因此,本研究的目的是评估各种时间窗内职业性PM2.5暴露与端粒长度之间的关联。研究人群包括48位锅炉制造商,随访期为8年。主要暴露是每次抽血前一个月,一年和职业中的累积职业性PM2.5,通过工作历史问卷和区域空气测量进行评估。通过实时定量聚合酶链反应(qPCR)评估来自白细胞的重复端粒长度测量。使用控制混杂因素和白细胞差异的线性混合模型进行分析。连续处理PM2.5累积暴露量,并在单独的分析中将其分类为四分位数。在任何后续时间,上个月累积的PM2.5暴露每增加1毫克每立方米,就有一个相对端粒长度为-0.04,具有统计显着性单位。将曝光量分类为四分位数时,端粒长度与累积最高四分位数之间呈负相关前一个月的PM2.5暴露(-0.16)。这些发现提示对白细胞端粒的基因组损伤与最近的职业性PM2.5暴露,而不是累积暴露延伸到遥远的过去。

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