Sciences in Cold and Arid Regions ›› 2016, Vol. 8 ›› Issue (4): 319-324.doi: 10.3724/SP.J.1226.2016.00319

• ARTICLES • Previous Articles    

An investigation of the effects of dust storms on rat lung using HRCT and blood gas analysis

FengFeng Lei1, WanYin Luo3, ZhiBao Dong3, YingZhu Sang1, LiZhu Luo1, Gang Huang2, Hua Liu1, QiZhang Chen1   

  1. 1. Department of Respiration, the People's Hospital of Gansu Province, Lanzhou, Gansu 730000, China;
    2. Department of Radiation Imaging, the People's Hospital of Gansu Province, Lanzhou, Gansu 730000, China;
    3. Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou, Gansu 730000, China
  • Received:2016-01-06 Revised:2016-06-06 Published:2018-11-23
  • Contact: WanYin Luo, Associate professor of Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences. No. 320, West Donggang Road, Lanzhou, Gansu 730000, China.
  • Supported by:
    This study was supported by the National Natural Science Foundation of China (41161019, 41461020). We would like to acknowledge the two anonymous referees and the administrative editor LiangYing Sun for their constructive comments and suggestions that helped to improve the manuscript.

Abstract: The increasing intensity and frequency of sand-dust storms in China has led to greater prominence of associated environmental and health issues. Many studies have focused on the health effects of air particulate contaminants, but few formal investigations have studied the effects of sand-dust storms on human and animal health. The aim of this study was to investigate the effects of dust storms on rat lung by using high resolution computed tomography (HRCT) and blood gas analysis through a wind tunnel simulating. We found that the rat lung damage effects can be detected by the HRCT imaging after exposure to sand-dust storm environments, but had no obvious result through blood gas analysis. Exposure durations positively correlated with the damage degree to lung tissue. These will provide some evidence for clinical diagnosis of non-occupational pneumoconiosis.

Key words: dust storm, lung, blood gas analysis, HRCT, wind tunnel simulation

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