Long-term PM0.1 exposure and human blood lipid metabolism: New insight from the 33-community study in China

Wangjian Zhang, Meng Gao, Xiang Xiao, Shu Li Xu, Shao Lin, Qi Zhen Wu, Gong Bo Chen, Bo Yi Yang, Li Wen Hu, Xiao Wen Zeng, Yuantao Hao, Guang Hui Dong*

*Corresponding author for this work

Research output: Contribution to journalJournal articlepeer-review

8 Citations (Scopus)


Ambient particles with aerodynamic diameter <0.1 μm (PM0.1) have been suggested to have significant health impact. However, studies on the association between long-term PM0.1 exposure and human blood lipid metabolism are still limited. This study was aimed to evaluate such association based on multiple lipid biomarkers and dyslipidemia indicators. We matched the 2006–2009 average PM0.1 concentration simulated using the neural-network model following the WRF-Chem model with the clinical and questionnaire data of 15,477 adults randomly recruited from 33 communities in Northeast China in 2009. After controlling for social demographic and behavior confounders, we assessed the association of PM0.1 concentration with multiple lipid biomarkers and dyslipidemia indicators using generalized linear mixed-effect models. Effect modification by various social demographic and behavior factors was examined. We found that each interquartile range increase in PM0.1 concentration was associated with a 5.75 (95% Confidence interval, 3.24–8.25) mg/dl and a 6.05 (2.85–9.25) mg/dl increase in the serum level of total cholesterol and LDL-C, respectively. This increment was also associated with an odds ratio of 1.25 (1.10–1.42) for overall dyslipidemias, 1.41 (1.16, 1.73) for hypercholesterolemia, and 1.90 (1.39, 2.61) for hyperbetalipoproteinemia. Additionally, we found generally greater effect estimates among the younger participants and those with lower income or with certain behaviors such as high-fat diet. The deleterious effect of long-term PM0.1 exposure on lipid metabolism may make it an important toxic chemical to be targeted by future preventive strategies.

Original languageEnglish
Article number119171
JournalEnvironmental Pollution
Publication statusPublished - 15 Jun 2022

Scopus Subject Areas

  • Toxicology
  • Pollution
  • Health, Toxicology and Mutagenesis

User-Defined Keywords

  • Dyslipidemia
  • Lipid biomarkers
  • Mixed-effect model
  • PM0.1
  • Vulnerability


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