Smoldering and flaming biomass wood smoke inhibit respiratory responses in mice.
Marie McGee HargroveYong Ho KimCharly KingCharles E WoodM Ian GilmourJanice A DyeStephen H GavettPublished in: Inhalation toxicology (2019)
Background: Acute and chronic exposures to biomass wildfire smoke pose significant health risks to firefighters and impacted communities. Susceptible populations such as asthmatics may be particularly sensitive to wildfire effects. We examined pulmonary responses to biomass smoke generated from combustion of peat, oak, or eucalyptus in control and house dust mite (HDM)-allergic mice. Methods: Mice were exposed 1 h/d for 2 consecutive days to emissions from each fuel type under smoldering or flaming conditions (∼40 or ∼3.3 mg PM/m3, respectively) while maintaining comparable CO levels (∼60-120 ppm). Results: Control and allergic mice reduced breathing frequency during exposure to all biomass emissions compared with pre-exposure to clean air. Smoldering eucalyptus and oak, but not peat, further reduced frequency compared to flaming conditions in control and allergic groups, while also reducing minute volume and peak inspiratory flow in control mice. Several biochemical and cellular markers of lung injury and inflammation were suppressed by all biomass emission types in both HDM-allergic and control mice. Control mice exposed to flaming eucalyptus at different PM concentrations (C) and times (T) with the same C × T product had a greater decrease in breathing frequency with high concentration acute exposure compared with lower concentration episodic exposure. This decrease was ameliorated by PM HEPA filtration, indicating that the respiratory changes were partially mediated by biomass smoke particles. Conclusion: These data show that exposure to smoldering eucalyptus or oak smoke inhibits respiratory responses to a greater degree than peat smoke. Anti-inflammatory effects of CO may possibly contribute to smoke-induced suppression of allergic inflammatory responses.
Keyphrases
- high fat diet induced
- wastewater treatment
- air pollution
- particulate matter
- anti inflammatory
- oxidative stress
- liver failure
- allergic rhinitis
- machine learning
- type diabetes
- drug induced
- metabolic syndrome
- risk assessment
- artificial intelligence
- acute respiratory distress syndrome
- hepatitis b virus
- big data
- climate change
- adipose tissue
- high glucose
- health risk