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Experimental and Computational Nanotoxicology—Complementary Approaches for Nanomaterial Hazard Assessment
The growing development and applications of nanomaterials lead to an increasing release of these materials in the environment. The adverse effects they may elicit on ecosystems or human health are not always fully characterized. Such potential toxicity must be carefully assessed with the underlying...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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MDPI
2022
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031966/ https://www.ncbi.nlm.nih.gov/pubmed/35458054 http://dx.doi.org/10.3390/nano12081346 |
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author | Forest, Valérie |
author_facet | Forest, Valérie |
author_sort | Forest, Valérie |
collection | PubMed |
description | The growing development and applications of nanomaterials lead to an increasing release of these materials in the environment. The adverse effects they may elicit on ecosystems or human health are not always fully characterized. Such potential toxicity must be carefully assessed with the underlying mechanisms elucidated. To that purpose, different approaches can be used. First, experimental toxicology consisting of conducting in vitro or in vivo experiments (including clinical studies) can be used to evaluate the nanomaterial hazard. It can rely on variable models (more or less complex), allowing the investigation of different biological endpoints. The respective advantages and limitations of in vitro and in vivo models are discussed as well as some issues associated with experimental nanotoxicology. Perspectives of future developments in the field are also proposed. Second, computational nanotoxicology, i.e., in silico approaches, can be used to predict nanomaterial toxicity. In this context, we describe the general principles, advantages, and limitations especially of quantitative structure–activity relationship (QSAR) models and grouping/read-across approaches. The aim of this review is to provide an overview of these different approaches based on examples and highlight their complementarity. |
format | Online Article Text |
id | pubmed-9031966 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-90319662022-04-23 Experimental and Computational Nanotoxicology—Complementary Approaches for Nanomaterial Hazard Assessment Forest, Valérie Nanomaterials (Basel) Review The growing development and applications of nanomaterials lead to an increasing release of these materials in the environment. The adverse effects they may elicit on ecosystems or human health are not always fully characterized. Such potential toxicity must be carefully assessed with the underlying mechanisms elucidated. To that purpose, different approaches can be used. First, experimental toxicology consisting of conducting in vitro or in vivo experiments (including clinical studies) can be used to evaluate the nanomaterial hazard. It can rely on variable models (more or less complex), allowing the investigation of different biological endpoints. The respective advantages and limitations of in vitro and in vivo models are discussed as well as some issues associated with experimental nanotoxicology. Perspectives of future developments in the field are also proposed. Second, computational nanotoxicology, i.e., in silico approaches, can be used to predict nanomaterial toxicity. In this context, we describe the general principles, advantages, and limitations especially of quantitative structure–activity relationship (QSAR) models and grouping/read-across approaches. The aim of this review is to provide an overview of these different approaches based on examples and highlight their complementarity. MDPI 2022-04-14 /pmc/articles/PMC9031966/ /pubmed/35458054 http://dx.doi.org/10.3390/nano12081346 Text en © 2022 by the author. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Review Forest, Valérie Experimental and Computational Nanotoxicology—Complementary Approaches for Nanomaterial Hazard Assessment |
title | Experimental and Computational Nanotoxicology—Complementary Approaches for Nanomaterial Hazard Assessment |
title_full | Experimental and Computational Nanotoxicology—Complementary Approaches for Nanomaterial Hazard Assessment |
title_fullStr | Experimental and Computational Nanotoxicology—Complementary Approaches for Nanomaterial Hazard Assessment |
title_full_unstemmed | Experimental and Computational Nanotoxicology—Complementary Approaches for Nanomaterial Hazard Assessment |
title_short | Experimental and Computational Nanotoxicology—Complementary Approaches for Nanomaterial Hazard Assessment |
title_sort | experimental and computational nanotoxicology—complementary approaches for nanomaterial hazard assessment |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9031966/ https://www.ncbi.nlm.nih.gov/pubmed/35458054 http://dx.doi.org/10.3390/nano12081346 |
work_keys_str_mv | AT forestvalerie experimentalandcomputationalnanotoxicologycomplementaryapproachesfornanomaterialhazardassessment |