4.0 Article

Quantification of regional aerosol deposition patterns as a function of aerodynamic particle size in rhesus macaques using PET/CT imaging

期刊

INHALATION TOXICOLOGY
卷 29, 期 11, 页码 506-515

出版社

TAYLOR & FRANCIS LTD
DOI: 10.1080/08958378.2017.1409848

关键词

Aerosol deposition; regional deposition; particle size; nonhuman primate; rhesus macaque; inhalation; bioaerosol

资金

  1. Department of Homeland Security (DHS) Science and Technology Directorate (ST) [HSHQDC-15-C-00064]
  2. National Biodefense Analysis and Countermeasures Center
  3. National Cancer Institute, National Institutes of Health [HHSN261200800001E]

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Aerosol aerodynamic particle size is known to affect deposition patterns of inhaled aerosol particles, as well as the virulence of inhaled bioaerosol particles. While a significant amount of work has been performed to describe the deposition of aerosol particles in the human respiratory tract, only a limited amount of work has been performed to describe the deposition of aerosol particles in the respiratory tract of nonhuman primates, an animal model commonly utilized in pharmacological and toxicological studies, especially in the biodefense field. In this study, anesthetized rhesus macaques inhaled radiolabeled aerosols with MMADs of 1.7, 3.6, 7.4 and 11.8 mu m to characterize regional deposition patterns. The results demonstrate that the regional deposition pattern shifts as particle size increases, with greater deposition in more proximal regions of the respiratory tract and decreased deposition in the pulmonary region. The results of this study extend the findings of previous studies which demonstrated a similar shift in the deposition pattern as a function of particle size by providing greater resolution of deposition patterns. These data on regional deposition patterns provide a starting point to begin to explore potential mechanisms responsible for the differences in virulence of infectious bioaerosols as a function of particle size and deposition pattern reported in previous studies. Additionally, the data are useful to assess the performance of various deposition models that have been published in the literature.

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