The
prevalence of wildfires continues to grow globally
with exposures
resulting in increased disease risk. Characterizing these health risks
remains difficult due to the wide landscape of exposures that can
result from different burn conditions and fuel types. This study tested
the hypothesis that biomass smoke exposures from variable fuels and
combustion conditions group together based on similar transcriptional
response profiles, informing which wildfire-relevant exposures may
be considered as a group for health risk evaluations. Mice (female
CD-1) were exposed via oropharyngeal aspiration to equal mass biomass
smoke condensates produced from flaming or smoldering burns of eucalyptus,
peat, pine, pine needles, or red oak species. Lung transcriptomic
signatures were used to calculate transcriptomic similarity scores
across exposures, which informed exposure groupings. Exposures from
flaming peat, flaming eucalyptus, and smoldering eucalyptus induced
the greatest responses, with flaming peat grouping with the pro-inflammatory
agent lipopolysaccharide. Smoldering red oak and smoldering peat induced
the least transcriptomic response. Groupings paralleled pulmonary
toxicity markers, though they were better substantiated by higher
data dimensionality and resolution provided through -omic-based evaluation.
Interestingly, groupings based on smoke chemistry signatures differed
from transcriptomic/toxicity-based groupings. Wildfire-relevant exposure
groupings yield insights into risk assessment strategies to ultimately
protect public health.