4.5 Article

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

期刊

TOXICOLOGY IN VITRO
卷 28, 期 8, 页码 1449-1460

出版社

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.tiv.2014.07.014

关键词

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

资金

  1. European Union Structural Fund
  2. DIT Fiosraigh President's Award for Research Excellence

向作者/读者索取更多资源

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. (C) 2014 Elsevier Ltd. All rights reserved.

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