Skip to main content
Journal cover image

Comparisons of ultrafine and fine particles in their associations with biomarkers reflecting physiological pathways.

Publication ,  Journal Article
Gong, J; Zhu, T; Kipen, H; Wang, G; Hu, M; Guo, Q; Ohman-Strickland, P; Lu, S-E; Wang, Y; Zhu, P; Rich, DQ; Huang, W; Zhang, J
Published in: Environmental science & technology
May 2014

Using a quasi-experimental opportunity offered by greatly restricted air pollution emissions during the Beijing Olympics compared to before and after the Olympics, we conducted the current study to compare ultrafine particles (UFPs) and fine particles (PM2.5) in their associations with biomarkers reflecting multiple pathophysiological pathways linking exposure and cardiorespiratory events. Number concentrations of particles (13.0-764.7 nm) and mass concentrations of PM2.5 were measured at two locations within 9 km from the residence and workplace of 125 participating Beijing residents. Each participant was measured 6 times for biomarkers of autonomic function (heart rate, systolic and diastolic blood pressures), hemostasis (von Willebrand factor, soluble CD40 ligand, and P-selectin), pulmonary inflammation and oxidative stress (exhaled nitric oxide and exhaled breath condensate pH, malondialdehyde, and nitrite), and systemic inflammation and oxidative stress (urinary malondialdehyde and 8-hydroxy-2'-deoxyguanosine, plasma fibrinogen, and white blood cells). Linear mixed models were used to estimate associations of biomarkers with UFPs and PM2.5 measured 1-7 days prior to biomarker measurements (lags). We found that the correlation coefficient for UFPs at two locations (∼ 9 km apart) was 0.45, and at the same location, the correlation coefficient for PM2.5 vs UFPs was -0.18. Changes in biomarker levels associated with increases in UFPs and PM2.5 were comparable in magnitude. However, associations of certain biomarkers with UFPs had different lag patterns compared to those with PM2.5, suggesting that the ultrafine size fraction (≤ 100 nm) and the fine size fraction (∼ 100 nm to 2.5 μm) of PM2.5 are likely to affect PM-induced pathophysiological pathways independently.

Duke Scholars

Altmetric Attention Stats
Dimensions Citation Stats

Published In

Environmental science & technology

DOI

EISSN

1520-5851

ISSN

0013-936X

Publication Date

May 2014

Volume

48

Issue

9

Start / End Page

5264 / 5273

Related Subject Headings

  • Young Adult
  • Pneumonia
  • Particulate Matter
  • Particle Size
  • Oxidative Stress
  • Models, Theoretical
  • Humans
  • Heart Rate
  • Environmental Sciences
  • China
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Gong, J., Zhu, T., Kipen, H., Wang, G., Hu, M., Guo, Q., … Zhang, J. (2014). Comparisons of ultrafine and fine particles in their associations with biomarkers reflecting physiological pathways. Environmental Science & Technology, 48(9), 5264–5273. https://doi.org/10.1021/es5006016
Gong, Jicheng, Tong Zhu, Howard Kipen, Guangfa Wang, Min Hu, Qingfeng Guo, Pamela Ohman-Strickland, et al. “Comparisons of ultrafine and fine particles in their associations with biomarkers reflecting physiological pathways.Environmental Science & Technology 48, no. 9 (May 2014): 5264–73. https://doi.org/10.1021/es5006016.
Gong J, Zhu T, Kipen H, Wang G, Hu M, Guo Q, et al. Comparisons of ultrafine and fine particles in their associations with biomarkers reflecting physiological pathways. Environmental science & technology. 2014 May;48(9):5264–73.
Gong, Jicheng, et al. “Comparisons of ultrafine and fine particles in their associations with biomarkers reflecting physiological pathways.Environmental Science & Technology, vol. 48, no. 9, May 2014, pp. 5264–73. Epmc, doi:10.1021/es5006016.
Gong J, Zhu T, Kipen H, Wang G, Hu M, Guo Q, Ohman-Strickland P, Lu S-E, Wang Y, Zhu P, Rich DQ, Huang W, Zhang J. Comparisons of ultrafine and fine particles in their associations with biomarkers reflecting physiological pathways. Environmental science & technology. 2014 May;48(9):5264–5273.
Journal cover image

Published In

Environmental science & technology

DOI

EISSN

1520-5851

ISSN

0013-936X

Publication Date

May 2014

Volume

48

Issue

9

Start / End Page

5264 / 5273

Related Subject Headings

  • Young Adult
  • Pneumonia
  • Particulate Matter
  • Particle Size
  • Oxidative Stress
  • Models, Theoretical
  • Humans
  • Heart Rate
  • Environmental Sciences
  • China