3.8 Article

Assessment of Air Pollutant PM2.5 Pulmonary Exposure Using a 3D Lung-on-Chip Model

期刊

ACS BIOMATERIALS SCIENCE & ENGINEERING
卷 6, 期 5, 页码 3081-3090

出版社

AMER CHEMICAL SOC
DOI: 10.1021/acsbiomaterials.0c00221

关键词

lung-on-a-chip; PM2.5; toxicity; microfluidics

资金

  1. Strategic Priority Research Program of the Chinese Academy of Sciences [XDB29050301, XDA16020900, XDB32030200]
  2. National Key R&D Program of China [2017YFB0405404]
  3. National Science and Technology Major Project [2018ZX09201017-001-001]
  4. National Nature Science Foundation of China [31971373, 81703470, 81803492]
  5. China Postdoctoral Science Foundation [2018M631836]
  6. Innovation Program of Science and Research from the DICP, CAS [DICP I201934]

向作者/读者索取更多资源

Airborne particulate matters have posed significant risk to human health worldwide. Fine particulate matters (PM2.5, aerodynamic diameter <2.5 mu m) are associated with increased morbidity and mortality attributed to pulmonary diseases. An advanced in vitro model would benefit the assessment of PM2.5 induced pulmonary injuries and drug development. In this work, we present a PM2.5 exposure model to evaluate the pulmonary risk of fine particulate matter exposure in an organotypic manner with the help of 3D human lung-on-a-chip. By compartmentalized coculturing of human endothelial cells, epithelial cells, and extra cellular matrix, our lung-on-a-chip recapitulated the structural features of the alveolar-blood barrier, which is pivotal for exogenous hazard toxicity evaluation. PM2.5 was applied to the channel lined with lung epithelial cells to model the pulmonary exposure of fine particulate matter. The results indicated acute high dose PM2.5 exposure would lead to various malfunctions of the alveolar-capillary barrier, including adheren junction disruption, increased ROS generation, apoptosis, inflammatory biofactor expression in epithelial cells and endothelial cells, elevated permeability, and monocyte attachments. Collectively, our lung-on-a-chip model provides a simple platform to investigate the complex responses after PM2.5 exposure in a physiologically relevant level, which could be of great potential in environmental risk assessment and therapeutic treatment development.

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