Predicting toxic potencies of metal oxide nanoparticles by means of nano-QSARs.

Abstract:

BACKGROUND:The enormous physicochemical and structural diversity of metal oxide nanoparticles (MeONPs) poses significant challenges to the testing of their biological uptake, biodistribution, and effects that can be used to develop understanding of key nano-bio modes of action. This has generated considerable uncertainties in the assessment of their human health and environmental risks and has raised concerns about the adequacy of their regulation. In order to surpass the extremely resource intensive case-by-case testing, intelligent strategies combining testing methods and non-testing predictive modeling should be developed. METHODS:The quantitative structure-activity relationship (QSARs) in silico tools can be instrumental in understanding properties that affect the potencies of MeONPs and in predicting toxic responses and thresholds of effects. RESULTS:The present study proposes a predictive nano-QSAR model for predicting the cytotoxicity of MeONPs. The model was applied to test the relationships between 26 physicochemical properties of 51 MeONPs and their cytotoxic effects in Escherichia coli. The two parameters, enthalpy of formation of a gaseous cation (▵Hme+) and polarization force (Z/r), were elucidated to make a significant contribution for the toxic effect of these MeONPs. The study also proposed the mechanisms of toxic potency in E. coli through the model, which indicated that the MeONPs as well as their released metal ions could collectively induce DNA damage and cell apoptosis. SIGNIFICANCE:These findings may provide an alternative method for prioritizing current and future MeONPs for potential in vivo testing, virtual prescreening and for designing environmentally benign nanomaterials.

journal_name

Nanotoxicology

journal_title

Nanotoxicology

authors

Mu Y,Wu F,Zhao Q,Ji R,Qie Y,Zhou Y,Hu Y,Pang C,Hristozov D,Giesy JP,Xing B

doi

10.1080/17435390.2016.1202352

subject

Has Abstract

pub_date

2016-11-01 00:00:00

pages

1207-14

issue

9

eissn

1743-5390

issn

1743-5404

journal_volume

10

pub_type

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