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Updated: May 5, 2026

Analysis of the Ambient Particulate Matter-induced Chromosomal Aberrations Using an In Vitro System
Published on: December 21, 2016
Altered methylation in tandem repeat element and elemental component levels in inhalable air particles
Lifang Hou1, Xiao Zhang, Yinan Zheng
1Department of Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois; The Robert H. Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
Particulate matter (PM) components like silicon and calcium are linked to DNA methylation changes in truck drivers, potentially indicating lung cancer risk. Sulfur exposure also affected DNA methylation in office workers.
Area of Science:
- Environmental Health
- Molecular Epidemiology
- Toxicology
Background:
- Particulate matter (PM) exposure is linked to lung cancer, but molecular mechanisms are unclear.
- Elemental components of PM are suspected drivers of toxicity.
- DNA methylation is a potential biomarker for environmental exposures and lung cancer risk.
Purpose of the Study:
- To investigate the association between specific PM elemental components and DNA methylation of tandem repeats.
- To evaluate these associations in a highly exposed population in Beijing, China.
Main Methods:
- The Beijing Truck Driver Air Pollution Study included 60 truck drivers and 60 office workers.
- Blood DNA methylation of SATα, NBL2, and D4Z4 was measured.
- Personal exposure to eight PM2.5 elemental components (Al, Si, S, K, Ca, Ti, Fe, Zn) was assessed.
- Generalized estimating equations (GEE) were used to model associations, adjusting for covariates.
Main Results:
- NBL2 methylation positively correlated with silicon (Si) and calcium (Ca) in truck drivers.
- SATα methylation positively correlated with sulfur (S) in office workers.
- Associations were adjusted for PM2.5 mass and other factors.
Conclusions:
- PM elemental components are associated with specific blood DNA methylation patterns.
- These methylation changes may serve as biomarkers for biological effects of PM exposure.
- Identifying such biomarkers could help detect individuals at higher risk for lung cancer.
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