Literature DB >> 24983896

Towards understanding mechanisms governing cytotoxicity of metal oxides nanoparticles: hints from nano-QSAR studies.

Agnieszka Gajewicz1, Nicole Schaeublin, Bakhtiyor Rasulev, Saber Hussain, Danuta Leszczynska, Tomasz Puzyn, Jerzy Leszczynski.   

Abstract

The production of nanomaterials increases every year exponentially and therefore the probability these novel materials that they could cause adverse outcomes for human health and the environment also expands rapidly. We proposed two types of mechanisms of toxic action that are collectively applied in a nano-QSAR model, which provides governance over the toxicity of metal oxide nanoparticles to the human keratinocyte cell line (HaCaT). The combined experimental-theoretical studies allowed the development of an interpretative nano-QSAR model describing the toxicity of 18 nano-metal oxides to the HaCaT cell line, which is a common in vitro model for keratinocyte response during toxic dermal exposure. The comparison of the toxicity of metal oxide nanoparticles to bacteria Escherichia coli (prokaryotic system) and a human keratinocyte cell line (eukaryotic system), resulted in the hypothesis that different modes of toxic action occur between prokaryotic and eukaryotic systems.

Entities:  

Keywords:  HaCaT; nano-QSAR; nano-metal oxides; nanoparticles; toxicity

Mesh:

Substances:

Year:  2014        PMID: 24983896     DOI: 10.3109/17435390.2014.930195

Source DB:  PubMed          Journal:  Nanotoxicology        ISSN: 1743-5390            Impact factor:   5.913


  22 in total

1.  Predicting Nano-Bio Interactions by Integrating Nanoparticle Libraries and Quantitative Nanostructure Activity Relationship Modeling.

Authors:  Wenyi Wang; Alexander Sedykh; Hainan Sun; Linlin Zhao; Daniel P Russo; Hongyu Zhou; Bing Yan; Hao Zhu
Journal:  ACS Nano       Date:  2017-11-22       Impact factor: 15.881

2.  How should the completeness and quality of curated nanomaterial data be evaluated?

Authors:  Richard L Marchese Robinson; Iseult Lynch; Willie Peijnenburg; John Rumble; Fred Klaessig; Clarissa Marquardt; Hubert Rauscher; Tomasz Puzyn; Ronit Purian; Christoffer Åberg; Sandra Karcher; Hanne Vriens; Peter Hoet; Mark D Hoover; Christine Ogilvie Hendren; Stacey L Harper
Journal:  Nanoscale       Date:  2016-05-04       Impact factor: 7.790

3.  NanoEHS beyond Toxicity - Focusing on Biocorona.

Authors:  Sijie Lin; Monika Mortimer; Ran Chen; Aleksandr Kakinen; Jim E Riviere; Thomas P Davis; Feng Ding; Pu Chun Ke
Journal:  Environ Sci Nano       Date:  2017-06-01

4.  Computer-aided design of carbon nanotubes with the desired bioactivity and safety profiles.

Authors:  Denis Fourches; Dongqiuye Pu; Liwen Li; Hongyu Zhou; Qingxin Mu; Gaoxing Su; Bing Yan; Alexander Tropsha
Journal:  Nanotoxicology       Date:  2015-11-02       Impact factor: 5.913

5.  RRegrs: an R package for computer-aided model selection with multiple regression models.

Authors:  Georgia Tsiliki; Cristian R Munteanu; Jose A Seoane; Carlos Fernandez-Lozano; Haralambos Sarimveis; Egon L Willighagen
Journal:  J Cheminform       Date:  2015-09-15       Impact factor: 5.514

6.  The eNanoMapper database for nanomaterial safety information.

Authors:  Nina Jeliazkova; Charalampos Chomenidis; Philip Doganis; Bengt Fadeel; Roland Grafström; Barry Hardy; Janna Hastings; Markus Hegi; Vedrin Jeliazkov; Nikolay Kochev; Pekka Kohonen; Cristian R Munteanu; Haralambos Sarimveis; Bart Smeets; Pantelis Sopasakis; Georgia Tsiliki; David Vorgrimmler; Egon Willighagen
Journal:  Beilstein J Nanotechnol       Date:  2015-07-27       Impact factor: 3.649

7.  A methodology for the design of experiments in computational intelligence with multiple regression models.

Authors:  Carlos Fernandez-Lozano; Marcos Gestal; Cristian R Munteanu; Julian Dorado; Alejandro Pazos
Journal:  PeerJ       Date:  2016-12-01       Impact factor: 2.984

Review 8.  Current Knowledge on the Use of Computational Toxicology in Hazard Assessment of Metallic Engineered Nanomaterials.

Authors:  Guangchao Chen; Willie Peijnenburg; Yinlong Xiao; Martina G Vijver
Journal:  Int J Mol Sci       Date:  2017-07-12       Impact factor: 5.923

Review 9.  Metal Oxide Nanomaterial QNAR Models: Available Structural Descriptors and Understanding of Toxicity Mechanisms.

Authors:  Jiali Ying; Ting Zhang; Meng Tang
Journal:  Nanomaterials (Basel)       Date:  2015-10-12       Impact factor: 5.076

10.  Evaluating the toxicity of TiO2-based nanoparticles to Chinese hamster ovary cells and Escherichia coli: a complementary experimental and computational approach.

Authors:  Alicja Mikolajczyk; Natalia Sizochenko; Ewa Mulkiewicz; Anna Malankowska; Michal Nischk; Przemyslaw Jurczak; Seishiro Hirano; Grzegorz Nowaczyk; Adriana Zaleska-Medynska; Jerzy Leszczynski; Agnieszka Gajewicz; Tomasz Puzyn
Journal:  Beilstein J Nanotechnol       Date:  2017-10-17       Impact factor: 3.649

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