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山东大学学报 (工学版) ›› 2025, Vol. 55 ›› Issue (4): 160-172.doi: 10.6040/j.issn.1672-3961.0.2024.297

• 环境工程 • 上一篇    

济南市市民血清中PFASs暴露水平与血压的关联研究

张浩钰1,徐菲2,刘铱3,侯程曦1,丁磊1*   

  1. 1.山东大学环境研究院, 山东 青岛 266237;2.青岛农业大学农学院, 山东 青岛 266109;3.山东大学公共卫生学院, 山东 济南 250012
  • 发布日期:2025-08-31
  • 作者简介:张浩钰(2000— ),女,山西平遥人,硕士研究生,主要研究方向为持久性有机污染物的提取与分析检测. E-mail:zhangzhy678@163.com. *通信作者简介:丁磊(1982— ),男,山东济南人,副教授,硕士生导师,博士,主要研究方向为持久性有机污染物在环境中的分布、迁移规律及其对环境健康的影响. E-mail:Lding@sdu.edu.cn
  • 基金资助:
    国家自然科学基金资助项目(82103948);国家自然科学基金山东联合基金资助项目(U2006214)

Study on associations between serum per- and polyfluoroalkyl substances levels and blood pressure in residents of Jinan

ZHANG Haoyu1, XU Fei2, LIU Yi3, HOU Chengxi1, DING Lei1*   

  1. ZHANG Haoyu1, XU Fei2, LIU Yi3, HOU Chengxi1, DING Lei1*(1. Environment Research Institute, Shandong University, Qingdao 266237, Shandong, China;
    2. College of Agronomy, Qingdao Agricultural University, Qingdao 266109, Shandong, China;
    3. School of Public Health, Shandong University, Jinan 250012, Shandong, China
  • Published:2025-08-31

摘要： 人群暴露于全氟和多氟烷基物质(per- and polyfluoroalkyl substances, PFASs)可能增加高血压发病率。为了评估单体PFAS和PFAS混合物与血压水平和高血压风险之间的关联,使用超高效液相色谱串联轨道肼质谱系统分析了来自中国济南326个空腹血清样本中的18种PFASs。采用多元线性回归模型和逻辑回归模型,分别分析了单体PFAS与收缩压、舒张压及高血压风险之间的关联。为评估PFAS混合物的总体效应,使用了分位数g计算模型和贝叶斯核机器回归模型。所有模型均显示全氟癸酸质量浓度与舒张压正相关,全氟十二酸质量浓度与舒张压负相关,全氟十一酸质量浓度与高血压风险正相关。研究结果表明,随着PFAS混合物质量浓度百分位数增加,研究人群的舒张压和高血压风险均有所升高。

关键词: 全氟和多氟烷基物质, 血压, 联合效应, 贝叶斯核机器回归, 分位数g计算

Abstract: Human was exposed to per- and polyfluoroalkyl substances(PFASs), which were implicated to be associated with elevated prevalence of hypertension. To evaluate the relationships between individual PFAS and PFAS mixture with blood pressure levels and hypertension risk, 18 PFASs in fasting serum samples collected from 326 individuals in Jinan, China were analyzed with an ultrahigh performance liquid chromatography system coupled with an Orbitrap mass spectrometer. Multivariable linear regression and logistic regression models were utilized to analyze the associations between individual PFAS and systolic blood pressure, diastolic blood pressure, and the risk of hypertension, respectively. To evaluate the joint effects of PFAS mixture, quantile g-computation and Bayesian kernel machine regression models were applied. All the models indicated a positive association between perfluorodecanoic acid mass concentration and diastolic blood pressure, a negative association between perfluorododecanoic acid mass concentration and diastolic blood pressure, and a positive association between perfluoroundecanoic acid mass concentration and risk of hypertension. According to a series of results from this study, it was concluded that both diastolic blood pressure and the risk of hypertension increased with the percentile of PFAS mixture mass concentration among the study population.

Key words: PFASs, blood pressure, joint effects, Bayesian kernel machine regression, quantile g-computation

中图分类号: 

  • X828
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