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Long-term exposure to low concentrations of polycyclic aromatic hydrocarbons and alterations in platelet indices: A longitudinal study in China

Author

Listed:
  • Jing Cui
  • Ting Zhang
  • Chao Zhang
  • Zhenwei Xue
  • Durong Chen
  • Xiaona Kong
  • Caili Zhao
  • Yufeng Guo
  • Zimeng Li
  • Xiaoming Liu
  • Jiefang Duan
  • Wenjie Peng
  • Xiaolin Zhou
  • Hongmei Yu

Abstract

Long-term exposure to low polycyclic aromatic hydrocarbon (PAH) concentration may ave detrimental effects, including changing platelet indices. Effects of chronic exposure to low PAH concentrations have been evaluated in cross-sectional, but not in longitudinal studies, to date. We aimed to assess the effects of long-term exposure to the low-concentration PAHs on alterations in platelet indices in the Chinese population. During 2014–2017, we enrolled 222 participants who had lived in a village in northern China, 1–2 km downwind from a coal plant, for more than 25 years, but who were not employed by the plant or related businesses. During three follow-ups, annually in June, demographic information and urine and blood samples were collected. Eight PAHs were tested: namely 2-hydroxynaphthalene, 1-hydroxynaphthalene, 2-hydroxyfluorene, 9-hydroxyfluorene (9-OHFlu), 2-hydroxyphenanthrene (2-OHPh), 1-hydroxyphenanthrene (1-OHPh), 1-hydroxypyrene (1-OHP), and 3-hydroxybenzo [a] pyrene. Five platelet indices were measured: platelet count (PLT), platelet distribution width (PDW), mean platelet volume (MPV), platelet crit, and the platelet-large cell ratio. Generalized mixed and generalized linear mixed models were used to estimate correlations between eight urinary PAH metabolites and platelet indices. Model 1 assessed whether these correlations varied over time. Models 2 and 3 adjusted for additional personal information and personal habits. We found the following significant correlations: 2-OHPh (Model1 β1 = 18.06, Model2 β2 = 18.54, Model β3 = 18.54), 1-OHPh (β1 = 16.43, β2 = 17.42, β3 = 17.42), 1-OHP(β1 = 13.93, β2 = 14.03, β3 = 14.03) with PLT, as well as 9-OHFlu with PDW and MPV (odds ratio or Model3 ORPDW[95%CI] = 1.64[1.3–2.06], ORMPV[95%CI] = 1.33[1.19–1.48]). Long-term exposure to low concentrations of PAHs, indicated by2-OHPh, 1-OHPh, 1-OHP, and 9-OHFlu, as urinary biomarkers, affects PLT, PDW, and MPV. 9-OHFlu increased both PDW and MPV after elimination of the effects of other PAH exposure modes.

Suggested Citation

  • Jing Cui & Ting Zhang & Chao Zhang & Zhenwei Xue & Durong Chen & Xiaona Kong & Caili Zhao & Yufeng Guo & Zimeng Li & Xiaoming Liu & Jiefang Duan & Wenjie Peng & Xiaolin Zhou & Hongmei Yu, 2022. "Long-term exposure to low concentrations of polycyclic aromatic hydrocarbons and alterations in platelet indices: A longitudinal study in China," PLOS ONE, Public Library of Science, vol. 17(11), pages 1-14, November.
    • Handle: RePEc:plo:pone00:0276944
    DOI: 10.1371/journal.pone.0276944
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    References listed on IDEAS

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    1. Nor Ashikin Sopian & Juliana Jalaludin & Suhaili Abu Bakar & Titi Rahmawati Hamedon & Mohd Talib Latif, 2021. "Exposure to Particulate PAHs on Potential Genotoxicity and Cancer Risk among School Children Living Near the Petrochemical Industry," IJERPH, MDPI, vol. 18(5), pages 1-20, March.
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    3. Windmeijer, Frank, 2005. "A finite sample correction for the variance of linear efficient two-step GMM estimators," Journal of Econometrics, Elsevier, vol. 126(1), pages 25-51, May.
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