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Ozone Responsive Gene Expression as a Model for Describing Repeat Exposure Response Trajectories and Interindividual
Emma C Bowers1, Elizabeth M Martin2,3, Annie M Jarabek4
1Curriculum in Toxicology and Environmental Medicine, University of North Carolina at Chapel Hill, Chapel Hill, North Carolina 27599, USA.
Single ozone exposures do not predict long-term effects. Repeated exposures to ozone (O3) in human bronchial cells show attenuated responses, highlighting variability in gene induction critical for risk assessment.
Area of Science:
- Environmental Health
- Toxicology
- In Vitro Models
Background:
- Inhaled chemical exposures are common globally, necessitating evaluation of adverse effects from single and repeated exposures.
- New Approach Methodologies (NAMs) are crucial for assessing thousands of chemicals and exposure scenarios.
- Key challenges for NAMs include understanding acute assay outcomes for long-term events and capturing interindividual variability.
Purpose of the Study:
- To investigate if single acute ozone (O3) exposure outcomes predict responses to repeated exposures.
- To characterize interindividual variability in gene induction in primary human bronchial epithelial cells.
- To inform sample size calculations for in vitro studies assessing human variability.
Main Methods:
- Utilized a primary human bronchial epithelial cell air-liquid interface model.
- Exposed cells to ozone (O3), a model oxidant and environmental chemical.
- Measured induction of proinflammatory genes, including interleukin (IL)-8, IL-6, heme oxygenase 1 (HMOX1), and cyclooxygenase 2 (COX2) transcripts.
Main Results:
- Ozone-induced proinflammatory gene induction was attenuated in repeated exposures compared to single exposures.
- Single acute exposure outcomes did not reliably represent responses after repeated or chronic exposures.
- Observed significant interindividual variability in transcript induction across 25 unique donors, with ranges up to 14.2-fold for HMOX1.
Conclusions:
- Single acute in vitro exposure outcomes do not accurately predict long-term or repeated exposure effects.
- Significant interindividual variability in gene responses necessitates careful consideration in human population risk assessment.
- Sample size calculations indicate a high number of donors are required to detect small fold-changes in certain gene transcripts, informing uncertainty factor determination.
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