A nanobiological approach to nanotoxicology

Nyland, Jennifer E.; Silbergeld, E. K.

doi:10.1177/0960327109105161

Cited by 14 publications

(8 citation statements)

References 20 publications

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“…Nanotoxicology is a very young field [12,[17][18][19][20][21][22][23], and many questions related to the potential toxicology [5] of MNPs remain unsolved, both for MNPs already existing in commercial products not intended for human exposure and for MNPs intended for biomedical applications, such as drug delivery, imaging, and sensing. Although some data exist on the absorption properties and associated toxicities of certain types of MNPs after exposure via the pulmonary, oral, and topical routes, little is known about the systemic distribution, metabolism, elimination, and health effects once the nanoparticles reach systemic circulation [15].…”

Section: Introductionmentioning

confidence: 99%

Exploring Quantitative Nanostructure-Activity Relationships (QNAR) Modeling as a Tool for Predicting Biological Effects of Manufactured Nanoparticles

Fourches¹,

Pu²,

Tropsha³

2011

CCHTS

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Evaluation of desired and undesired, biological effects of Manufactured NanoParticles (MNPs) is of critical importance for the future of nanotechnology. Experimental studies, especially toxicological, are time-consuming and costly, calling for the development of efficient computational tools capable of predicting biological events caused by MNPs from their structure and physical chemical properties. This mini-review assesses the potential of modern cheminformatics methods such as Quantitative Structure - Activity Relationship modeling to develop statistically significant and externally predictive models that can accurately forecast biological effects of MNPs from the knowledge of their physical, chemical, and geometrical properties. We discuss major approaches for model building and validation using both experimental and computed properties of nanomaterials. We consider two different categories of MNP datasets: (i) those comprising MNPs with diverse metal cores and organic decorations, for which experimentally measured properties can be used as particle's descriptors, and (ii) those involving MNPs possessing the same core (e.g., carbon nanotubes), but different surface-modifying organic molecules, for which computational descriptors can be calculated for a single representative of the decorative molecule. We illustrate those concepts with three case studies for which we successfully built and validated predictive models. In summary, this mini-review demonstrates that, analogous to conventional applications of QSAR modeling for the analysis of datasets of bioactive organic molecules, its application to modeling MNPs that we term Quantitative Nanostructure Activity Relationship (QNAR) modeling can be useful for (i) predicting activity profiles of novel MNPs solely from their representative descriptors and (ii) designing and manufacturing safer nanomaterials with desired properties.

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Section: Introductionmentioning

confidence: 99%

Exploring Quantitative Nanostructure-Activity Relationships (QNAR) Modeling as a Tool for Predicting Biological Effects of Manufactured Nanoparticles

Fourches¹,

Pu²,

Tropsha³

2011

CCHTS

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“…[33,36] There is strong evidence that modern assays developed and optimized for nanotoxicology will be adaptable to the benefit of toxicology and the other fields for which classical toxicology has become crucial. [37,38,39,40] The specific properties of nanoparticles illustrate the disadvantage of using regulation and protocols born of another field. The rapid construction of a useful framework that has been adapted to suit the new field demonstrates the advantages of this approach.…”

Section: Adaptation Of the Toxicology Framework To Nanotechnologymentioning

confidence: 99%

What do you mean, Supply Chain Security? A Taxonomy and Framework for Knowledge Sharing

Smith¹,

Teuton²

2017

Proceedings of the 50th Hawaii International Conference on System Sciences (2017)

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“…Moreover, the high surface energy and surface area of NMs may also contribute to the binding of unanticipated amounts of assay reagent or analyte [ 22 ]. However, the nanotoxicology is a new subject that is likely a driving force and not a declining influence regarding the use of modern approaches in toxicology [ 1 , 27 , 28 ]. In vitro methods have many advantages over the in vivo experiments, especially concerning the comprehension of the mechanisms underlying the toxic effects of NMs.…”

Section: In Vitro Toxicity Assessmentmentioning

confidence: 99%

Mechanisms Underlying Cytotoxicity Induced by Engineered Nanomaterials: A Review of In Vitro Studies

et al. 2014

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Engineered nanomaterials are emerging functional materials with technologically interesting properties and a wide range of promising applications, such as drug delivery devices, medical imaging and diagnostics, and various other industrial products. However, concerns have been expressed about the risks of such materials and whether they can cause adverse effects. Studies of the potential hazards of nanomaterials have been widely performed using cell models and a range of in vitro approaches. In the present review, we provide a comprehensive and critical literature overview on current in vitro toxicity test methods that have been applied to determine the mechanisms underlying the cytotoxic effects induced by the nanostructures. The small size, surface charge, hydrophobicity and high adsorption capacity of nanomaterial allow for specific interactions within cell membrane and subcellular organelles, which in turn could lead to cytotoxicity through a range of different mechanisms. Finally, aggregating the given information on the relationships of nanomaterial cytotoxic responses with an understanding of its structure and physicochemical properties may promote the design of biologically safe nanostructures.

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A nanobiological approach to nanotoxicology

Cited by 14 publications

References 20 publications

Exploring Quantitative Nanostructure-Activity Relationships (QNAR) Modeling as a Tool for Predicting Biological Effects of Manufactured Nanoparticles

Exploring Quantitative Nanostructure-Activity Relationships (QNAR) Modeling as a Tool for Predicting Biological Effects of Manufactured Nanoparticles

What do you mean, Supply Chain Security? A Taxonomy and Framework for Knowledge Sharing

Mechanisms Underlying Cytotoxicity Induced by Engineered Nanomaterials: A Review of In Vitro Studies

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