Your browser doesn't support javascript.
loading
The transcriptomic signature of respiratory sensitizers using an alveolar model.
Gibb, Matthew; Liu, James Y; Sayes, Christie M.
Afiliação
  • Gibb M; Institute of Biomedical Studies (BMS), Baylor University, Waco, TX, 76798-7266, USA.
  • Liu JY; Department of Environmental Science (ENV), Baylor University, One Bear Place #97266, Waco, TX, 76798-7266, USA.
  • Sayes CM; Institute of Biomedical Studies (BMS), Baylor University, Waco, TX, 76798-7266, USA. Christie_sayes@baylor.edu.
Cell Biol Toxicol ; 40(1): 21, 2024 Apr 08.
Article em En | MEDLINE | ID: mdl-38584208
ABSTRACT
Environmental contaminants are ubiquitous in the air we breathe and can potentially cause adverse immunological outcomes such as respiratory sensitization, a type of immune-driven allergic response in the lungs. Wood dust, latex, pet dander, oils, fragrances, paints, and glues have all been implicated as possible respiratory sensitizers. With the increased incidence of exposure to chemical mixtures and the rapid production of novel materials, it is paramount that testing regimes accounting for sensitization are incorporated into development cycles. However, no validated assay exists that is universally accepted to measure a substance's respiratory sensitizing potential. The lungs comprise various cell types and regions where sensitization can occur, with the gas-exchange interface being especially important due to implications for overall lung function. As such, an assay that can mimic the alveolar compartment and assess sensitization would be an important advance for inhalation toxicology. Some such models are under development, but in-depth transcriptomic analyses have yet to be reported. Understanding the transcriptome after sensitizer exposure would greatly advance hazard assessment and sustainability. We tested two known sensitizers (i.e., isophorone diisocyanate and ethylenediamine) and two known non-sensitizers (i.e., chlorobenzene and dimethylformamide). RNA sequencing was performed in our in vitro alveolar model, consisting of a 3D co-culture of epithelial, macrophage, and dendritic cells. Sensitizers were readily distinguishable from non-sensitizers by principal component analysis. However, few differentially regulated genes were common across all pair-wise comparisons (i.e., upregulation of genes SOX9, UACA, CCDC88A, FOSL1, KIF20B). While the model utilized in this study can differentiate the sensitizers from the non-sensitizers tested, further studies will be required to robustly identify critical pathways inducing respiratory sensitization.
Assuntos
Palavras-chave

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Transcriptoma Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Perfilação da Expressão Gênica / Transcriptoma Idioma: En Ano de publicação: 2024 Tipo de documento: Article