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Associations of Exposure to Fine Particulate Matter Mass and Constituents with Systemic Inflammation: A Cross-Sectional Study of Urban Older Adults in China.

Bin HanJia XuYujuan ZhangPenghui LiKangwei LiNan ZhangJinbao HanShuang GaoXinhua WangChunmei GengWen YangLiwen ZhangZhipeng Bai
Published in: Environmental science & technology (2022)
Systemic inflammation is a key mechanism in the development of cardiovascular diseases induced by exposure to fine particles (particles with aerodynamic diameter ≤2.5 μm [PM 2.5 ]). However, little is known about the effects of chemical constituents of PM 2.5 on systemic inflammation. In this cross-sectional study, filter samples of personal exposure to PM 2.5 were collected from community-dwelling older adults in Tianjin, China, and the chemical constituents of PM 2.5 were analyzed. Blood samples were collected immediately after the PM 2.5 sample collection. Seventeen cytokines were measured as targets. A linear regression model was applied to estimate the relative effects of PM 2.5 and its chemical constituents on the measured cytokines. A positive matrix factorization model was employed to distinguish the sources of PM 2.5 . The calculated source contributions were used to estimate their effects on cytokines. After adjusting for other covariates, higher PM 2.5 -bound copper was significantly associated with increased levels of interleukin (IL)1β, IL6, IL10, and IL17 levels. Source analysis showed that an increase in PM 2.5 concentration that originated from tire/brake wear and cooking emissions was significantly associated with enhanced levels of IL1β, IL6, tumor necrosis factor alpha (TNFα), and IL17. In summary, personal exposure to some PM 2.5 constituents and specific sources could increase systemic inflammation in older adults. These findings may explain the cardiopulmonary effects of specific particulate chemical constituents of urban air pollution.
Keyphrases
  • particulate matter
  • air pollution
  • lung function
  • polycyclic aromatic hydrocarbons
  • physical activity
  • heavy metals
  • cardiovascular disease
  • coronary artery disease
  • metabolic syndrome
  • risk assessment