Cellular Toxicity of Carbon-Based Nanomaterials

Magrez, Arnaud; Kasas, Sandor; Salicio, Valérie; Pasquier, Nathalie; Seo, Jin Won; Celio, Marco R.; Catsicas, Stefan; Schwaller, Beat; Forró, Lászlø

doi:10.1021/nl060162e

Cited by 1,031 publications

(678 citation statements)

References 22 publications

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“…Although nano-silver was known to be harmless, recent studies (Asare, et al, 2012;Foldbjerg, Dang, & Autrup, 2011;Hussain, et al, 2006;Kim, et al, 2009) have provided convincing evidence of toxicity associated with the exposure to nano-silver. More detailed information about the potential adverse effects of various NMs has been provided by several researchers (Arora, et al, 2012;Holgate, 2010;Horie & Fujita, 2011;Jeng & Swanson, 2006;Magrez, et al, 2006;Saquib, et al, 2012;Sharifi, et al, 2012;Wani, Hashim, Nabi, & Malik, 2011).…”

Section: Nanomaterials Toxicitymentioning

confidence: 99%

“…There is now a growing body of literature on the potential undesirable effects caused by the exposure to different types of ENMs (Horie & Fujita, 2011;Jeng & Swanson, 2006;Karlsson, Gustafsson, Cronholm, & Möller, 2009;Magrez, et al, 2006). Although the awareness of the potential adverse effects of ENMs is increasing, there are still numerous unanswered questions which complicate the appropriate evaluation of toxicity at the nano-scale dimension.…”

Section: Introductionmentioning

confidence: 99%

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(Q)SAR modelling of nanomaterial toxicity: A critical review

et al. 2015

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There is an increasing recognition that nanomaterials pose a risk to human health, and that the novel engineered nanomaterials (ENMs) in the nanotechnology industry and their increasing industrial usage poses the most immediate problem for hazard assessment, as many of them remain untested. The large number of materials and their variants (different sizes and coatings for instance) that require testing and ethical pressure towards non-animal testing means that expensive animal bioassay is precluded, and the use of (quantitative) structure activity relationships ((Q)SAR) models as an alternative source of hazard information should be explored.(Q)SAR modelling can be applied to fill the critical knowledge gaps by making the best use of existing data, prioritize physicochemical parameters driving toxicity, and provide practical solutions to the risk assessment problems caused by the diversity of ENMs. This paper covers the core components required for successful application of (Q)SAR technologies to ENMs toxicity prediction, and summarizes the published nano-(Q)SAR studies and outlines the challenges ahead for nano-(Q)SAR modelling. It provides a critical review of (1) the present status of the availability of ENMs characterization/toxicity data, (2) the characterization of nanostructures that meets the need of (Q)SAR analysis, (3) the summary of published nano-(Q)SAR studies and their limitations, (4) the in silico tools for (Q)SAR screening of nanotoxicity and (5) the prospective directions for the development of nano-(Q)SAR models.

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Section: Nanomaterials Toxicitymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

(Q)SAR modelling of nanomaterial toxicity: A critical review

et al. 2015

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“…The relevance of these systems is related to the main difficulty in the use of CNT in nanomedicine associated with their hydrophobicity and tendency to aggregate into bundles. In fact, for practical applications, such aggregates have cytotoxic effect and even cause cell death in dose dependent manner [29]. Systems size and simulations timescales suitable to treat and to observe the spontaneous insertion process of CNTs bundles can be still feasible for coarse-grained models still close to atomistic (typically one bead corresponds to four non hydrogen atoms, 4:1 mapping), as the ones reported in this paper, if non-bonded interactions are treated using a Self Consistent Field (SCF) theory approach having models based on a hybrid particle-field (PF) representation [30].…”

Section: Introductionmentioning

confidence: 99%

Spontaneous insertion of carbon nanotube bundles inside biomembranes: A hybrid particle-field coarse-grained molecular dynamics study

Sarukhanyan¹,

Roccatano²,

Kawakatsu³

et al. 2014

Chemical Physics Letters

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The processes of CNTs bundle formation and insertion/rearrangement inside lipid bilayers, as models of cellular membranes, is described and analyzed in details using simulations on the microsecond scale. Molecular Dynamics simulations employing hybrid particle-field models (MD-SCF) show that during the insertion process lipid molecules coat bundles surfaces The distortions of bilayers are more pronounced for systems undergoing to insertion of bundles made of longer CNTs. Interestingly, in this case, for the insertion of bundles in perpendicular orientation, it has been possible to observe, for the first time, a transient poration of the bilayer and a subsequent water percolation through it.

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“…In spite of the large number of studies aimed at establishing the biological activity of nanoparticles and the influence of important physico-chemical parameters such as size, surface properties, crystal phase and others (Hoshino et al 2004;Magrez et al 2006;Oberdorster et al 2005b); the use of appropriate dose metrics needs to be carefully considered. For example, to determine the effect of size of the nanoparticle on biological activity, should comparisons of activity or biological response be based on the mass of the sample, as is done in conventional toxicological studies, or should the metric be total surface area when comparing effects of different sized particles?…”

Section: Introductionmentioning

confidence: 99%

Does nanoparticle activity depend upon size and crystal phase?

et al. 2008

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A method to investigate the dependence of the physicochemical properties of nanoparticles (e.g. size, surface area and crystal phase) on their oxidant generating capacity is proposed and demonstrated for TiO 2 nanoparticles. Gas phase synthesis methods that allow for strict control of size and crystal phase were used to prepare TiO 2 nanoparticles. The reactive oxygen species (ROS) generating capacity of these particles was then measured. The size dependent ROS activity was established using TiO 2 nanoparticles of 9 different sizes (4 -195 nm) but the same crystal phase. For a fixed total surface area, an S-shaped curve for ROS generation per unit surface area was observed as a function of particle size. The highest ROS activity per unit area was observed for 30 nm particles, and observed to be constant above 30 nm. There was a decrease in activity per unit area as size decreased from 30 nm to 10 nm; and again constant for particles smaller than 10 nm. The correlation between crystal phase and oxidant capacity was established using TiO 2 nanoparticles of 11 different crystal phase combinations but similar size. The ability of different crystal phases of TiO 2 nanoparticles to generate ROS was highest for amorphous, followed by anatase, and then anatase/rutile mixtures, and lowest for rutile samples. Based on evaluation of the entire dataset, important dose metrics for ROS generation are established. Their implications of these ROS studies on biological and toxicological studies using nanomaterials are discussed.

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Cellular Toxicity of Carbon-Based Nanomaterials

Cited by 1,031 publications

References 22 publications

(Q)SAR modelling of nanomaterial toxicity: A critical review

(Q)SAR modelling of nanomaterial toxicity: A critical review

Spontaneous insertion of carbon nanotube bundles inside biomembranes: A hybrid particle-field coarse-grained molecular dynamics study

Does nanoparticle activity depend upon size and crystal phase?

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