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Modeling PAH Mixture Interactions in a Human In Vitro Organotypic Respiratory Model. | LitMetric

AI Article Synopsis

  • Evaluating the hazards of environmental chemical mixtures, specifically polycyclic aromatic hydrocarbons (PAHs), is a major challenge in human health risk assessment, especially regarding their effects on lung cells.* -
  • The study created two synthetic PAH mixtures based on samples from a legacy creosote site and tested their impact on human bronchial epithelial cells, focusing on various toxicological biomarkers.* -
  • Results indicated that existing models underestimated toxicity and suggested that PAH interactions might be non-additive, highlighting the need for improved methods in assessing mixture toxicity in environmental samples.*

Article Abstract

One of the most significant challenges in human health risk assessment is to evaluate hazards from exposure to environmental chemical mixtures. Polycyclic aromatic hydrocarbons (PAHs) are a class of ubiquitous contaminants typically found as mixtures in gaseous and particulate phases in ambient air pollution associated with petrochemicals from Superfund sites and the burning of fossil fuels. However, little is understood about how PAHs in mixtures contribute to toxicity in lung cells. To investigate mixture interactions and component additivity from environmentally relevant PAHs, two synthetic mixtures were created from PAHs identified in passive air samplers at a legacy creosote site impacted by wildfires. The primary human bronchial epithelial cells differentiated at the air-liquid interface were treated with PAH mixtures at environmentally relevant proportions and evaluated for the differential expression of transcriptional biomarkers related to xenobiotic metabolism, oxidative stress response, barrier integrity, and DNA damage response. Component additivity was evaluated across all endpoints using two independent action (IA) models with and without the scaling of components by toxic equivalence factors. Both IA models exhibited trends that were unlike the observed mixture response and generally underestimated the toxicity across dose suggesting the potential for non-additive interactions of components. Overall, this study provides an example of the usefulness of mixture toxicity assessment with the currently available methods while demonstrating the need for more complex yet interpretable mixture response evaluation methods for environmental samples.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11050152PMC
http://dx.doi.org/10.3390/ijms25084326DOI Listing

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