Numerical simulations of in vitro nanoparticle toxicity - the case of poly(amido amine) dendrimers

Marcus A. Maher, Pratap C. Naha, Sourav Prasanna Mukherjee, Hugh J. Byrne

    Research output: Contribution to journalArticlepeer-review

    Abstract

    A phenomenological rate equation model is constructed to numerically simulate nanoparticle uptake and subsequent cellular response. Polyamidoamine dendrimers (generations 4-6) are modelled and the temporal evolution of the intracellular cascade of; increased levels of reactive oxygen species, intracellular antioxidant species, caspase activation, mitochondrial membrane potential decay, tumour necrosis factor and interleukin generation is simulated, based on experimental observations.The dose and generation dependence of several of these response factors are seen to well represent experimental observations at a range of time points. The model indicates that variations between responses of different cell-lines, including murine macrophages, human keratinocytes and colon cells, can be simulated and understood in terms of different intracellular antioxidant levels, and, within a given cell-line, varying responses of different cytotoxicity assays can be understood in terms of their sensitivities to different intracellular cascade events.The model serves as a tool to interpolate and visualise the range of dose and temporal dependences and elucidate the mechanisms underlying the in vitro cytotoxic response to nanoparticle exposure and describes the interaction in terms of independent nanoparticle properties and cellular parameters, based on reaction rates. Such an approach could be a valid alternative to that of effective concentrations for classification of nanotoxicity and may lay the foundation for future quantitative structure activity relationships and predictive nanotoxicity models.

    Original languageEnglish
    Pages (from-to)1449-1460
    Number of pages12
    JournalToxicology in Vitro
    Volume28
    Issue number8
    DOIs
    Publication statusPublished - 1 Dec 2014

    Keywords

    • Cytotoxicity
    • Nanotoxicology
    • Numerical simulation
    • Polyamidoamine dendrimer
    • Quantitative structure activity relationships
    • Reactive oxygen species

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