ArticleFrontiers in toxicology2024
Assessing susceptibility for polycyclic aromatic hydrocarbon toxicity in an
Article in Frontiers in toxicology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Neutrophilic asthma: advances in experimental models from pathogenesis to therapeutic translation.Molecular medicine (Cambridge, Mass.) · 2026Review
- MicroRNA-mediated changes contributing to benzo[a]pyrene toxicity in a 3D respiratory model for asthma.Current research in toxicology · 2026Article
- Article
- Utilization of the CometChip assay for detecting PAH-induced DNA bulky adducts in a 3D primary human bronchial epithelial cell model.Toxicology · 2025Article
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Authors and funding
7 authors.
Funding
Abstract
There is increased emphasis on understanding cumulative risk from the combined effects of chemical and non-chemical stressors as it relates to public health. Recent animal studies have identified pulmonary inflammation as a possible modifier and risk factor for chemical toxicity in the lung after exposure to inhaled pollutants; however, little is known about specific interactions and potential mechanisms of action. In this study, primary human bronchial epithelial cells (HBEC) cultured in 3D at the air-liquid interface (ALI) are utilized as a physiologically relevant model to evaluate the effects of inflammation on toxicity of polycyclic aromatic hydrocarbons (PAHs), a class of contaminants generated from incomplete combustion of fossil fuels. Normal HBEC were differentiated in the presence of IL-13 for 14 days to induce a profibrotic phenotype similar to asthma. Fully differentiated normal and IL-13 phenotype HBEC were treated with benzo[a]pyrene (BAP; 1-40 μg/mL) or 1% DMSO/PBS vehicle at the ALI for 48 h. Cells were evaluated for cytotoxicity, barrier integrity, and transcriptional biomarkers of chemical metabolism and inflammation by quantitative PCR. Cells with the IL-13 phenotype treated with BAP result in significantly (
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