Extrapolating between toxicity endpoints of metal oxide nanoparticles: Predicting toxicity to Escherichia coli and human keratinocyte cell line (HaCaT) with Nano-QTTR

Supratik Kar; Agnieszka Gajewicz; Kunal Roy; Jerzy Leszczynski; Tomasz Puzyn

doi:10.1016/j.ecoenv.2015.12.033

Extrapolating between toxicity endpoints of metal oxide nanoparticles: Predicting toxicity to Escherichia coli and human keratinocyte cell line (HaCaT) with Nano-QTTR

Ecotoxicol Environ Saf. 2016 Apr:126:238-244. doi: 10.1016/j.ecoenv.2015.12.033. Epub 2016 Jan 12.

Authors

Supratik Kar¹, Agnieszka Gajewicz², Kunal Roy³, Jerzy Leszczynski⁴, Tomasz Puzyn⁵

Affiliations

¹ Laboratory of Environmental Chemometrics, Institute for Environmental and Human Health Protection, Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland; Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India; Interdisciplinary Nanotoxicity Center, Department of Chemistry and Biochemistry, Jackson State University, Jackson, MS, USA.
² Laboratory of Environmental Chemometrics, Institute for Environmental and Human Health Protection, Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland.
³ Drug Theoretics and Cheminformatics Laboratory, Department of Pharmaceutical Technology, Jadavpur University, Kolkata 700032, India.
⁴ Interdisciplinary Nanotoxicity Center, Department of Chemistry and Biochemistry, Jackson State University, Jackson, MS, USA.
⁵ Laboratory of Environmental Chemometrics, Institute for Environmental and Human Health Protection, Faculty of Chemistry, University of Gdańsk, Gdańsk, Poland. Electronic address: t.puzyn@qsar.eu.org.

PMID: 26773833
DOI: 10.1016/j.ecoenv.2015.12.033

Abstract

Synthesis of novel nanoparticles should always be accompanied by a comprehensive assessment of risk to human health and to ecosystem. Application of in silico models is encouraged by regulatory authorities to fill the data gaps related to the properties of nanoparticles affecting the environment and human health. Interspecies toxicity correlations provide a tool for estimation of contaminant's sensitivity with known levels of uncertainty for a diverse pool of species. We propose here first interspecies cytotoxicity correlation models between Escherichia coli (prokaryotic system) and human keratinocyte cell line (HaCaT) (eukaryotic system) to assess the discriminatory features for cytotoxicity of metal oxide nanoparticles. The nano-QTTR models can be employed for extrapolating cytotoxicity to E. coli and human keratinocyte cell line (HaCaT) for metal nanoparticles when the data for the other species are available. Informative illustrations of the contributing mechanisms of toxic action of the metal oxide nanoparticles to the HaCaT cell line as well as to the E. coli are identified from the developed nano quantitative toxicity-toxicity relationship (nano-QTTR) models.

Keywords: Cytotoxicity; E. coli; HaCaT; Metal oxides; Nano-QSAR; Nanoparticles.

Publication types

Research Support, Non-U.S. Gov't
Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

Cell Line
Endpoint Determination
Escherichia coli / drug effects*
Humans
Keratinocytes / drug effects*
Metal Nanoparticles / toxicity*
Models, Biological*
Oxides

Substances

Oxides