Your browser doesn't support javascript.
loading
The utility of alternative models in particulate matter air pollution toxicology.
Smoot, Jacob; Padilla, Stephanie; Farraj, Aimen K.
Afiliación
  • Smoot J; Oak Ridge Institute for Science and Education, Oak Ridge, TN, United States.
  • Padilla S; Biomolecular and Computational Toxicology Division, Center for Computational Toxicology and Exposure, US EPA, RTP, NC, United States.
  • Farraj AK; Public Health and Integrated Toxicology Division, US EPA, RTP, NC, United States.
Curr Res Toxicol ; 3: 100077, 2022.
Article en En | MEDLINE | ID: mdl-35676914
Exposure to particulate matter (PM) air pollution increases risk of adverse human health effects. As more attention is brought to bear on the problem of PM, traditional mammalian in vivo models struggle to keep up with the risk assessment challenges posed by the countless number of unique PM samples across air sheds with limited or no toxicity information. This review examines the utility of three higher throughput, alternative, in vivo animal models in PM toxicity research: Danio rerio (zebrafish), Caenorhabditis elegans (nematode), and Drosophila melanogaster (fruit fly). These model organisms vary in basic biology, ease of handling, methods of exposure to PM, number and types of available assays, and the degree to which they mirror human biology and responsiveness, among other differences. The use of these models in PM research dates back over a decade, with assessments of the toxicity of various PM sources including traffic-related combustion emissions, wildland fire smoke, and coal fly ash. This article reviews the use of these alternative model organisms in PM toxicity studies, their biology, the various assays developed, endpoints measured, their strengths and limitations, as well as their potential role in PM toxicity assessment and mechanistic research going forward.
Palabras clave

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: Curr Res Toxicol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Tipo de estudio: Risk_factors_studies Idioma: En Revista: Curr Res Toxicol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos