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    于海涛, 王婷, 王艳华, 许梦梦, 王振杰, 吴难, 赵红伟, 戴宇飞, 段化伟. 高浓度细颗粒物暴露职业人群血清克拉拉细胞蛋白与肺功能相关性研究[J]. 环境卫生学杂志, 2019, 9(5): 418-424. DOI: 10.13421/j.cnki.hjwsxzz.2019.05.002
    引用本文: 于海涛, 王婷, 王艳华, 许梦梦, 王振杰, 吴难, 赵红伟, 戴宇飞, 段化伟. 高浓度细颗粒物暴露职业人群血清克拉拉细胞蛋白与肺功能相关性研究[J]. 环境卫生学杂志, 2019, 9(5): 418-424. DOI: 10.13421/j.cnki.hjwsxzz.2019.05.002
    shu
    YU Haitao, WANG Ting, WANG Yanhua, XU Mengmeng, WANG Zhenjie, WU Nan, ZHAO Hongwei, DAI Yufei, DUAN Huawei. Association of Serum Clara Cell Protein with Pulmonary Function in Occupational Populations with High-PM2.5 Exposure[J]. Journal of Environmental Hygiene, 2019, 9(5): 418-424. DOI: 10.13421/j.cnki.hjwsxzz.2019.05.002
    Citation: YU Haitao, WANG Ting, WANG Yanhua, XU Mengmeng, WANG Zhenjie, WU Nan, ZHAO Hongwei, DAI Yufei, DUAN Huawei. Association of Serum Clara Cell Protein with Pulmonary Function in Occupational Populations with High-PM2.5 Exposure[J]. Journal of Environmental Hygiene, 2019, 9(5): 418-424. DOI: 10.13421/j.cnki.hjwsxzz.2019.05.002
    shu

    高浓度细颗粒物暴露职业人群血清克拉拉细胞蛋白与肺功能相关性研究

    Association of Serum Clara Cell Protein with Pulmonary Function in Occupational Populations with High-PM2.5 Exposure

      摘要
    • 摘要:
      目的 在高浓度细颗粒物（Fine particulate matter，PM2.5）暴露职业人群中，探讨血清克拉拉细胞蛋白（Clara cell protein，CC16）水平与肺功能变化之间的关系。
      方法 选取390名男性焦炉工人作为暴露组，其中低PM2.5组215人、高PM2.5组175人，同地区的对照组工人115名。酶联免疫吸附测定法（ELISA）检测血清中CC16水平，使用便携式电子肺活量计测量研究对象肺功能的改变。
      结果 3组人群血清CC16水平随PM2.5暴露水平的增加呈下降趋势，且差异具有统计学意义（P=0.019）。研究发现FEV1/FVC与血清CC16水平之间具有正相关关系（r=0.094，P=0.035）。简单线性回归校正年龄、身高、体重、饮酒和吸烟，亦发现在全人群中FEV1/FVC随血清CC16降低而降低（P=0.045）。在非吸烟人群中，FEF25%~75%%和FEV1/FVC与血清CC16水平之间具有正相关关系，但在吸烟人群中，各项肺功能指标与血清CC16水平之间均无线性相关关系。年龄分层后发现，在年龄≤ 36岁的人群中，FEF25%~75%%、FEV1%和FEV1/FVC随血清CC16的降低而降低（P分别为0.032、0.036和0.029），但在年龄> 36岁的人群中，并未发现各项肺功能指标与血清CC16显著关联。
      结论 高浓度PM2.5暴露职业人群血清CC16水平与肺功能降低之间存在明显的相关性，血清CC16水平改变可以作为高浓度PM2.5暴露致肺损伤的效应标志物。

       

      Abstract:
      Objectives The aim was to investigate the association of serum clara cell protein (CC16) and pulmonary function in occupational populations with high fine particulate matter (PM2.5) exposure.
      Methods We selected 390 male coke oven workers as the exposure group, of whom 215 workers in low-PM2.5group and 175 workers in high-PM2.5 group, then selected 115 non exposed workers as the control group. Enzyme-linked immunosorbent assay (ELISA) method was used to detected the serum CC16 levels, and the pulmonary function was measured by spirometer.
      Results With the increase of PM2.5 exposure level, serum CC16 levels reduced (P=0.019). There was a positive correlation between FEV1/FVC and serum CC16 levels (r=0.094, P=0.035). There also was a positive correlation between FEV1/FVC and serum CC16 levels (P=0.045) in total population after simple linear regression adjusted age, height, weight, drinking and smoking. After stratification by smoking, the subjects showed a positive correlation between FEF25%~75%%, FEV1/FVC and serum CC16 levels in non-smokers. However, there was no any correlation between lung function and serum CC16 levels among the smokers. After age stratification, the authors found a positive correlation between FEF25%~75%%, FEV1%, FEV1/FVC and serum CC16 levels in population younger than 36 years (P values were 0.032, 0.036 and 0.029, respectively). However, the authors did not find similar correlation among population who is older than 36 years.
      Conclusions There is significant correlation between serum CC16 level and lung function in population with high PM2.5 exposure. The decrease of serum CC16 levels could be used as a marker for lung injury caused by high-PM2.5 exposure.

       

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