Advancing analytical and graphical methods for binary and ternary mixtures: The toxic interactions of divalent metal ions in human lung cells.
Autor: | Liu JY; Department of Environmental Science, Baylor University, Waco, TX 76798-7266, USA., Beard JM; Department of Environmental Science, Baylor University, Waco, TX 76798-7266, USA., Hussain S; 711th Human Performance Wing, Air Force Research Laboratory, Dayton, OH, USA., Sayes CM; Department of Environmental Science, Baylor University, Waco, TX 76798-7266, USA. |
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Jazyk: | angličtina |
Zdroj: | Heliyon [Heliyon] 2024 Nov 16; Vol. 10 (22), pp. e40481. Date of Electronic Publication: 2024 Nov 16 (Print Publication: 2024). |
DOI: | 10.1016/j.heliyon.2024.e40481 |
Abstrakt: | Humans are exposed to various environmental chemicals, particles, and pathogens that can cause adverse health outcomes. These exposures are rarely homogenous but rather complex mixtures in which the components may interact, such as through synergism or antagonism. Toxicologists have conducted preliminary investigations into binary mixtures of two components, but little work has been done to understand mixtures of three or more components. We investigated mixtures of divalent metal ions, quantifying the toxic interactions in a human lung model. Eight metals were chosen: heavy metals cadmium, copper, lead, and tin, as well as transition metals iron, manganese, nickel, and zinc. Human alveolar epithelial cells (A549) were exposed to individual metals and sixteen binary and six ternary combinations. The dose-response was modeled using logistic regression in R to extract LC Competing Interests: The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper. (© 2024 The Authors.) |
Databáze: | MEDLINE |
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