What is it about?
An overall conclusion about the genotoxicity effect of 16 metal oxide nanoparticles, retreived from the in vitro come assay results in the literature using a qualitative weight of evidence approach. The overall results are in binary classification format (genotoxic/non genotoxic). A set of quantum-chemical descriptors of these selected metal oxide nanoparticles have been claculated using MOPAC. A decision tree classification model has been trained on the developed data base. Three quantum-chemical descriptors have been selected automatically by the model which are known to be effectively important in the mode of action of genotoxicity effect of nanoparticles on cells.
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Why is it important?
The present study uses a set of criteria in its process of qualitative weight of evidence process to draw a conclusion on genotoxicity of metal oxide nanoparticles. These criteria have been stablished on the basis of important aspects of quality assessment of in vitro comet assay reported in literature and expert evaluation. Calculation of quantum-chemcial descriptors is time comsuming and quantitatively expensive. For a limited number of samples we preferred to calculate quantum-chemical descriptors rather that pysico-chemical descriptors to evaluate the relationships between the genotoxic effects of nanoparticles and their properties. A simple decision tree is developed on the small data base at hand. Three descriptors have been selected as the most significant descriptors which make a relationship between the characteristics (particle surface and electronic properties) of the metal oxide nanoparticles and their toxic effect. The results of theis study shed light on the mode of action of the genotoxicitity of nanoparticles.
Perspectives
For the first time a weight of evidence approach has been applied to a great number of different and sometimes conflicting in vitro comet assay results of 16 metal oxide nanoparticles published in the literature. The overall conclusions have been made considering the qualitiy of each assay conducted by each group of scientists by applying a number of "yes and no" questions about the assay. The qualitiy check of 103 assays is done by a number of experts and a final conclusion has been made on genotoxic effect of 16 metal oxide nanomaterials. Using the already existing toxicity data of nanoparticles in a weight of evidence approach helps the scients to refined, reduce and replace "unnecessary" animal tests whenever this end is possible. QSAR and read-across methodologies are helpful tools to find out the mechanisms of action of toxic effects of materials and also to predict the toxicity effect of unknown or new materials. In case of nanoparticles these in silico methods help mainly to prioritize the nanoparticles that may pose concern to human health and environment.
azadi Golbamaki
Istituto Di Ricerche Farmacologiche Mario Negri
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This page is a summary of: Genotoxicity induced by metal oxide nanoparticles: a weight of evidence study and effect of particle surface and electronic properties, Nanotoxicology, June 2018, Taylor & Francis,
DOI: 10.1080/17435390.2018.1478999.
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