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Nanomaterial cytotoxicity is composition, size, and cell type dependent

Particle and Fibre Toxicology volume 7, Article number: 22 (2010) Cite this article

Abstract

Background

Despite intensive research efforts, reports of cellular responses to nanomaterials are often inconsistent and even contradictory. Additionally, relationships between the responding cell type and nanomaterial properties are not well understood. Using three model cell lines representing different physiological compartments and nanomaterials of different compositions and sizes, we have systematically investigated the influence of nanomaterial properties on the degrees and pathways of cytotoxicity. In this study, we selected nanomaterials of different compositions (TiO2 and SiO2 nanoparticles, and multi-wall carbon nanotubes [MWCNTs]) with differing size (MWCNTs of different diameters < 8 nm, 20-30 nm, > 50 nm; but same length 0.5-2 μm) to analyze the effects of composition and size on toxicity to 3T3 fibroblasts, RAW 264.7 macrophages, and telomerase-immortalized (hT) bronchiolar epithelial cells.

Results

Following characterization of nanomaterial properties in PBS and serum containing solutions, cells were exposed to nanomaterials of differing compositions and sizes, with cytotoxicity monitored through reduction in mitochondrial activity. In addition to cytotoxicity, the cellular response to nanomaterials was characterized by quantifying generation of reactive oxygen species, lysosomal membrane destabilization and mitochondrial permeability. The effect of these responses on cellular fate - apoptosis or necrosis - was then analyzed. Nanomaterial toxicity was variable based on exposed cell type and dependent on nanomaterial composition and size. In addition, nanomaterial exposure led to cell type dependent intracellular responses resulting in unique breakdown of cellular functions for each nanomaterial: cell combination.

Conclusions

Nanomaterials induce cell specific responses resulting in variable toxicity and subsequent cell fate based on the type of exposed cell. Our results indicate that the composition and size of nanomaterials as well as the target cell type are critical determinants of intracellular responses, degree of cytotoxicity and potential mechanisms of toxicity.

Background

In recent years, a wide range of nanomaterials have been developed for various applications in industrial, electrical, agricultural, pharmaceutical and medical fields due to their unique properties [1]. Increasing evidence suggests that the special physicochemical properties of these nanomaterials pose potential risks to human health [2]. Therefore, considerable effort has been placed on identifying the potential toxicity of nanoparticles to cells and organisms. Many groups have reported that nanoparticles of different compositions do indeed present toxicological concerns. For example, exposure of cells and animals to quartz and mineral dust particles (e.g., coal and silicates), asbestos fibers, and experimental instillation of TiO2 and carbon black nanoparticles in animal lungs induce oxidative injury, inflammation, fibrosis, cytotoxicity, and release of pro-inflammatory mediators [1, 3–5]. In addition, animal studies have confirmed an increase in pulmonary inflammation, oxidative stress and distal organ involvement upon respiratory exposure to nanoparticles [6–8].

In vitro studies have generally supported the pathophysiological responses found in animal models, including increased generation of ROS in cells exposed to various nanomaterials [9–12]. Many in vitro studies have identified increased ROS generation as an initiating factor of toxicity in nanoparticle exposed cells [13, 14]. However, it has been difficult to establish a comprehensive mechanism of nanoparticle cytotoxicity based on previous, and rather inconsistent, observations. For instance, some reports indicated that exposure of cells to TiO2 leads to lipid peroxidation, DNA damage, caspase activation followed by micronuclei formation, chromatin condensation and eventual cell death via apoptosis [14–17]. However, other investigators have reported that TiO2 nanoparticle exposure instead causes plasma membrane damage and decrements in mitochondrial function [18–20]. There are even reports that TiO2 exposure does not lead to membrane damage, caspase activation or cell death [21, 22]. In addition, cells exposed to silicon oxide (SiO2) nanoparticles show caspase activation and cell death via apoptosis but the suggested pathways leading to apoptosis differed [23–25]. One study concluded that lysosomal destabilization was the initiating factor [24] whereas two others concluded that loss of mitochondrial membrane integrity was the predominant cause of cell death [23, 25]. In fact, it is possible that lysosomal destabilization and loss of mitochondrial membrane integrity may be related events [26]. In contrast to these findings, other investigators reported that SiO2 exposure leads to plasma membrane damage [9, 27] similar to observations with MWCNTs [28]. However, other studies indicated that MWCNT induced cell cycle arrest and caused cell death via apoptosis [29, 30]. MWCNT were also reported to cause a decrease in mitochondrial membrane potential [31, 32] whereas another study reported that these nanotubes were non-toxic [33].

These conflicting results are likely caused by variations in experimental procedures, composition and size of nanoparticles employed and the use of varying cell types. Further differences such as protein adsorption prior to cell exposure and particle dispersion/agglomeration have also been recently shown to play important roles. These input variables are likely related to varied toxicological outputs. Although it seems logical that different cell types will respond differently to nanomaterials, this subject has only recently been explored [29, 34–36]. It is of paramount importance to identify the mechanistic response of exposure-prone cells to nanomaterials as they are not only potential environmental exposure hazards [37, 38], but are continuously employed in biomedical applications in many different tissues and compartments inside the body [39, 40]. Therefore it is necessary that we both understand how different cells respond to nanomaterials, and through what mechanisms. This information would help in the development of nanoparticles with improved safety and efficacy.

We have therefore carried out a systematic and comparative study on the cytotoxic effects of common, widely used nanomaterials of varying composition (TiO2, SiO2, MWCNT) and size (MWCNT: < 8 nm, 20-30 nm, > 50 nm). Three cell types were chosen for this investigation based on their physiological function and location. 3T3 fibroblasts were chosen as a model for stromal cells, which can be found in matrix and connective tissue throughout the body. For the second cell type, we chose telomerase immortalized human bronchiolar epithelial cells (hT) as a model cell type for inhalation exposure to nanomaterials. The third cell type was RAW 264.7 macrophages, which are commonly included in nanomaterial toxicity investigations as an inflammatory cell type. The effects of these nanomaterials on cytotoxicity, protein adsorption, cellular uptake, ROS generation, lysosomal stability, mitochondrial activity, activation of caspase 3 and 7 and mode of cell death (apoptosis vs. necrosis) were investigated. The role of material composition was investigated using nanomaterials of similar diameters but different compositions. The effects of MWCNT of varying diameter but similar length on cell toxicity were also evaluated.

Methods

Reagents

Dulbecco's Modified Essential Media (DMEM) was purchased from Sigma-Aldrich (St. Louis, MO). Fetal Calf Serum (FCS) and antibiotics were obtained from Atlanta Biologicals (Lawrenceville, GA). Bronchial epithelial cell growth medium (BEGM) was purchased from Lonza (Basel, Switzerland). 3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium, inner salt (MTS) was procured from Promega Corporation (Madison, WI). 2',7'-dichlorodihydrofluorescein diacetate (H2DCFDA) was purchased from Invitrogen (Carlsbad, CA). Acridine Orange (AO) and Sensolyte Homogeneous AMC Caspase-3/7 Assay Kit were acquired from Merck (Darmstadt, Germany) and Anaspec (San Jose, CA), respectively. MitoProbe DilC1(5) Assay Kit and propidium iodide were purchased from Invitrogen (Carlsbad, CA). BCA protein assay kit was from Pierce (Rockford, IL). Annexin V-FITC Apoptosis Kit was purchased from Biovision, Inc. (Mountain View, CA).

Test materials

To assess the influence of material chemical composition on nanoparticle-mediated cell toxicity, we selected TiO2 (anatase; 5-10 nm in diameter) and SiO2 (30 nm in diameter). We also employed MWCNTs (0.5-2 μm length) with three different ranges of diameters, < 8 nm, 20-30 nm, and > 50 nm to examine the influence of material size on nanoparticle-induced cell toxicity. All nanomaterials were acquired from Sun Innovations, Inc. (Fremont, CA). The physical properties of the nanomaterial test groups have been summarized as provided by the manufacturer (Table 1).

Table 1 Nanomaterial Physical Characteristics.
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Characterization of nanoparticles in physiological solution and cell culture media

The behaviour of nanoparticles in suspension was analyzed using dynamic light scattering (DLS). The measurements were made using Zetapals (Brookhaven Instruments Corp.). All nanomaterials used in this investigation were suspended in PBS and in culture media containing serum at 10, 100 and 1000 μg/ml and sonicated for 60 sec at 40W in an ice bath to disperse the nanoparticles and stored overnight. Nanoparticles were diluted to 1 μg/ml into distilled water, sized and tabulated as the average nanoparticle size. Prior to sizing, the nanoparticles were put through another sonication cycle for dispersion and diluted to 1 μg/ml in deionized water for testing.

BCA assays were performed to analyze the adsorption of protein from cell culture media in the absence of cells as previously described [41]. Culture media containing 10% FCS was prepared with 100 μg/ml nanoparticle suspensions, sonicated as mentioned above and incubated for periods of 30 min (maximum protein adsorption) [41, 42] and 2 hours (reversible protein exchange with culture media) [43]. After incubation, nanoparticle suspensions were centrifuged and the pellets assayed to determine protein depletion from the culture media with nanoparticle free culture media as control. Optical density was measured using a SpectraMAX 340 (Molecular Devices, Sunnyvale, CA).

Cell culture

3T3 fibroblasts and RAW 264.7 macrophages were obtained from ATCC (Manassas, VA). 3T3 cells were cultured in DMEM supplemented with 10% FCS and 1% antibiotics (10,000 units/ml penicillin and 10,000 μg/ml streptomycin in 0.85% saline). As a model of a respiratory cell type, we used telomerase-immortalized human bronchiolar epithelial cells (hT), a gift from Dr. B. J. Rollins (Harvard Medical School, Boston, MA) and were cultured in bronchial epithelial cell complete growth medium (BEGM) as previously described [44]. Unless stated otherwise, for all experiments, cells were plated in 96-well plates at a density of 5000 cells per well in 100 μl of culture medium. Cells were allowed to attach and achieve approximately 80% confluence prior to starting the experiments. The particle suspensions were prepared in complete culture media consisting of DMEM supplemented with 10% FCS and 1% antibiotic solution. The particle suspensions were sonicated and briefly vortexed to resuspend the particles prior to cell culture study. The particle suspension was sonicated using an ultrasonic tip at 30% amplitude for 3-5 seconds.

Cellular uptake or interaction with nanoparticles

The degree of nanoparticle uptake or adsorption on cellular membranes was examined by analyzing forward scatter (FSC) verses side scatter (SSC) using flow cytometry (Becton Dickinson, FACSArray Bioanalyzer System, San Jose, CA) as described previously [45]. Briefly, cells were incubated with 100 μg/ml of TiO2, SiO2, MWCNT < 8 nm, MWCNT 20-30 nm and MWCNT > 50 nm for 3 hours in the appropriate culture media to allow sufficient time for cellular uptake of nanomaterials based on our recent and other publications [19, 45]. Following this, the cells were detached by cell scraping and suspended in PBS for flow cytometry. Following gating, control and nanoparticle-exposed cells were run and plotted to examine increase in side scatter (SSC) due to endocytotic or adsorptive nanoparticle interaction.

Cytotoxicity

The effects of nanomaterials on the viability of 3T3, hT, and RAW cells were evaluated using MTS [3-(4,5-dimethylthiazol-2-yl)-5-(3-carboxymethoxyphenyl)-2-(4-sulfophenyl)-2H-tetrazolium] reduction [19]. MTS was chosen for this study due to the solubility of the reduced product in culture medium and because MWCNT interfere with the MTT reduction assay [46, 47]. Briefly, culture medium from the wells was removed and replaced with 100 μl new culture media containing particles at concentrations of 10, 100, and 1000 μg/ml. Consistent with previous observations [15, 17, 20], we found 24 hours to be the optimal time for measurements of the effects of nanoparticles on cell survival. After 24 hours of exposure, the culture medium was removed and the cells were rinsed three times in PBS to remove free nanomaterials. After two hours of incubation with MTS solution, the supernatant was transferred to a new 96 well plate to ensure that light transmission was not disturbed by nanomaterials incorporated into cells. Viability of the adherent cells was then determined using MTS reduction. Each treatment was carried out in quadruplicate and cell survival was calculated with respect to untreated controls. Viability of 3T3 fibroblasts was also assessed every 6 hours for 24 hours using MTS reduction.

Prior to assay, MTS solution was incubated with 10 μg/ml or 100 μg/ml of each test group using identical protocols detailed for cell culture. There was very little to no change in absorbance values and these changes were insignificant from MTS-culture media controls. Coupled with PBS washing to remove excess nanoparticle prior to adding the MTS reagent mixture, we find no detectable nanoparticle interference with the MTS assay.

Intracellular generation of ROS

Cellular generation of ROS was determined using oxidation of 2',7'- dichlorodihydrofluorescein diacetate (H2DCFDA) as previously described [31]. Specifically, culture media from the wells was removed and replaced with 100 μl new culture media containing particles at a concentration of 100 μg/ml. After two hours of incubation with nanomaterials, a time sufficient to stimulate intracellular ROS production [31], the cells were rinsed three times with PBS to remove unbound nanomaterials. The cells were then incubated with 100 μl of H2DCFDA (5 μM in PBS) at 37°C for 30 min. Following this, the wells were rinsed twice with PBS to remove excess dye and 200 μl of PBS was added to each well. Fluorescence was measured with excitation at 485 nm and emission at 530 nm using a Tecan Infinite M 200 microplate reader (San Jose, CA) with measurements done in quadruplicate. The fluorescence intensities of treated cells were normalized to untreated controls and plotted as Relative Fluorescence Units (RFU).

Lysosomal membrane integrity

Destabilization of the lysosome has recently been linked to cytotoxicity involving ROS generation and associated disruption of mitochondrial membrane potential [48, 49]. Lysosomal membrane stability was assessed using the acridine orange (AO) relocation technique as verified in previous work [50–52]. AO is a metachromatic fluorophore and a lysosomotropic base (pKa = 10.3) which diffuses into cells and accumulates in lysosomes by proton trapping. This accumulation produces a change in the fluorescence emission of the probe (from cytosolic green to red within the lysosomes due to concentration-dependent stacking of the AO). Disruption of the lysosomal membrane can be assessed by measuring the change in intracellular AO fluorescence (i.e., loss of lysosomal red signal and gain of cytoplasmic green) [50–52]. For these tests, cells were grown to sub-confluence on coverslips. The cells were then loaded with AO (5 μg/ml) in culture media for 15 min at 37°C, rinsed with DMEM and incubated with the nanomaterials (final concentration of 100 μg/ml) as reported earlier [23]. After 4 hr incubation, the culture medium containing nanoparticles was removed and the cells were rinsed thrice with PBS. For qualitative studies, the cell images were recorded using a Leica DMLB fluorescence microscope equipped with a Nikon E500 camera (8.4 V, 0.9 A, Nikon Corp., Japan). For quantitative analyses, cells at 80% confluence were incubated with AO as above, rinsed with DMEM and then incubated with 100 μl of nanomaterials (100 μg/ml) for 4 hours at 37°C. Four samples were used in each treatment. After exposure, the cells were rinsed three times with PBS and incubated with 100 μl of PBS prior to fluorescence measurements with excitation at 485 nm emission at 530 nm (green cytoplasmic AO) and 620 nm (red lysosomal AO) using a Tecan microplate reader (Tecan Group Ltd.). The relative lysosomal membrane permeabilization was calculated based on the percent change in the 530 nm/620 nm intensity ratio of treated cells with respect to the controls.

Mitochondrial membrane potential

Nanoparticle mediated damage to mitochondria was assessed using the MitoProbe DilC1(5) (Invitrogen, CA) Assay following manufacturer's instructions. Cells were seeded in 96 well plates as described above and exposed to nanomaterials at a concentration of 100 μg/ml for 6 hrs. After exposure, control and nanomaterial-exposed cells were rinsed twice in PBS and incubated with DilC1(5). Cells exposed to carbonyl cyanide 3-chlorophenylhydrazone (CCCP) were used as negative controls (i.e., lacking membrane potential). Cells were then rinsed and suspended in PBS prior to fluorescence measurements with excitation at 638 nm and emission at 658 nm using a Tecan microplate reader. Fluorescence intensity values of treated cells were normalized to untreated controls as plotted as percent change in fluorescence intensity with respect to controls.

Caspase-3 and Caspase-7 activation

Both caspase-3 and caspase-7 are important in the execution phase of apoptosis [53]. The degree of caspase-3 and caspase-7 activation in cells exposed to nanomaterials was determined using the Sensolyte Homogeneous AMC Caspase-3/7 assay kit (Anaspec, CA) following manufacturer's instructions. Briefly, the assay employs Ac-DEVD-AMC as the fluorogenic indicator of caspase-3/7 activities. The cells were incubated with 100 μl of media containing nanoparticles (100 μg/ml) for 10 hours, a sufficient time for maximum caspase activation as established earlier [13]. Then, 50 μl of the caspase-3/7 substrate was added to each well. Cleavage products were quantified at excitation at 354 nm and emission at 442 nm using a Tecan microplate reader. The fluorescence intensities were normalised with untreated controls and plotted as Relative Fluorescence Units (RFU).

Annexin V/Propidium iodide assay

To distinguish the mode of nanomaterial induced cell death, annexin V/Propidium iodide assay was performed as previously described [54]. Briefly, 3 × 105 cells grown on glass cover slips were incubated with media containing nanoparticles (100 μg/ml) for 20 hours. Cell culture media in the absence of nanoparticles was added to control cells. After 20 hours, cells were rinsed twice in PBS, centrifuging the cell suspension before and between washes to prevent loss of any dead or detached cells, and then double stained with Annexin V-FITC and Propidium Iodide according to manufacturer's protocol. The coverslips were inverted on a glass slide and images were analyzed by fluorescence microscopy with Leica DMLB fluorescence microscope equipped with a Nikon E500 camera (Nikon Corp., Japan). Apoptotic and necrotic cell percentages were then calculated for both treated and untreated cells. Cells undergoing apoptosis, both early and late apoptosis, were distinguished from cells undergoing necrosis based on previously published criteria [54, 55]. Briefly, cells undergoing apoptosis are Annexin V+/PI-, cells undergoing late apoptosis are Annexin V+/PI+ while cells undergoing necrosis are Annexin V-/PI+.

Statistics

The results of cell viability, ROS generation, lysosomal membrane permeability, caspase-3/7 activity, and Annexin V-FITC/PI assay are presented as mean ± standard deviation. Statistical comparisons were conducted using the student's t-test and ANOVA in Graph Pad Prism (Graph Pad software, San Diego, CA). Dunnet post tests were used to compare treatment groups to control and Bonferroni tests were used for inter-group comparisons. Differences between different groups were considered statistically significant at p < 0.05.

Results

Nanoparticle characterization in solution

Differences in particle dispersion/agglomeration have recently been shown to play important role in nanomaterial toxicity. Therefore we determined each nanomaterial's physical and chemical properties in physiological media including serum containing culture media. Size distribution of nanomaterials was assessed using Dynamic Light Scattering after dispersion in PBS and in culture media with serum (Table 2). Apparent particle size increased in both PBS and culture media. MWCNT > 50 nm at 10 μg/ml quickly dispersed in both, PBS and culture media, and maintained dispersion longer than other nanomaterials tested. However, as the concentration increased from 10 μg/ml to 100 μg/ml this effect was masked. The amount of aggregation of each nanomaterial in PBS when compared to culture media containing serum was identical. Overall, we observed the level of aggregation to be concentration dependent. We also observed a similar size distribution of the nanomaterials (~300-500 nm) at 10 and 100 μg/ml following sonication with the exception to MWCNT > 50 nm which had a size range from 700-800 nm at 100 μg/ml.

Table 2 Properties of Nanoparticles in Solution.
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Nanoparticle interactions with serum proteins

Since protein adsorption has an important effect on cellular responses to implants, we sought to examine the protein affinity of various nanoparticles following incubation in serum containing culture media for periods of 30 minutes and 2 hours (Figure 1). Surprisingly all nanoparticles deplete similar serum protein quantities from culture media after 30 minutes (Figure 1a). However, there is a nanoparticle dependent degree of irreversible protein adsorption with additional incubation. The metal oxides and MWCNT 20-30 nm have a significant increase in the amount of protein detected in the culture media shown as a significant decrease in protein depletion. Change in protein depletion levels between 30 minutes and 2 hours time points were compared between nanoparticle types (Figure 1b). Assay results reveal that nanoparticles have a differential capacity to adsorb and to desorb proteins with additional incubation at 37°C.

Figure 1
figure1

Nanoparticle mediated protein depletion from cell culture media. Nanoparticles were incubated in serum containing culture media (10%) for periods of 30 minutes and 2 hours, with the early time point representing time for significant protein interaction and the later time point representing onset of particle uptake. Initially, all nanoparticles adsorb approximately 30% of the serum from the media, followed by a period of particle dependent reversible exchange of protein with culture media (a). Plotting of change in protein depletion from the media reveals significant differences in exchange based on nanoparticle properties (b). Vertical lines denote ±1 SD (n = 4 for all tested samples). (*) indicates significant t-test at (P < 0.05). Bracket with a (*) represents significant one-way ANOVA at (P < 0.05).

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Nanoparticle uptake in different cells

Since the biomaterials appear to behave differently in regard to protein adsorption and material-protein interactions have been directly linked with cellular responses [56], we compared nanoparticle uptake or attachment to cellular membranes in model cell lines using flow cytometry (Figure 2). Figures 2a, b, and 2c show the influence of nanomaterial composition and size on their uptake or their interaction with 3T3 fibroblasts, hT bronchial epithelial cells, and RAW macrophages, respectively. In all three cell types, control cells show a size distribution population with minimal side scatter, which can be related to particles in the cell or on the outside or due to changes in the organelles in the cell. Interestingly, following 3 hours exposure, we see that nanomaterials had a variable effect on the side scatter of the cells, with all three cell types exhibiting substantial uptake or interaction with TiO2 as evident by a large increase in side scatter. TiO2 exposure also produced a pronounced left shift in the cell population indicating a decrease in the cell size, due to cellular responses following nanoparticle uptake. hT bronchiolar epithelial cells exhibited the largest left shift (nanoparticle uptake-associate cell size reduction) of TiO2 accompanied by an increase in side scatter. On the other hand, SiO2, MWCNT <8 nm, MWCNT 20-30 nm and MWCNT >50 nm triggered very little to no increase in side scatter compared to controls. Control studies have shown that there was no apparent "spill-over" for all test materials in the flow cytometry analyses.

Figure 2
figure2

Analysis of nanomaterial uptake. Nanomaterial uptake by (a) 3T3, (b) hT, and (c) RAW cells. Unexposed cells were scanned to establish normal cell population. Cells exposed to nanoparticles for 3 hrs were detached from well plates and analyzed for forward scatter vs. side scatter to determine nanoparticle uptake. In the case of nanomaterial exposed cells, nanomaterial uptake/surface adsorption is reflected by increases in the side scatter of cell populations.

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Nanomaterial composition, concentration and size affect cell viability

We studied the effect of nanomaterial chemical, physical properties and concentrations on cell viability. As expected, we find that the cell toxicity is cell type, material composition and concentration dependent. Specifically, RAW macrophages are very susceptible to nanomaterial toxicity while 3T3 fibroblasts are more resistance to nanomaterial toxicity. The viability of 3T3 cells slightly decreased as the concentration of nanomaterials was increased (Figure 3a). In addition, varying the diameters of MWCNTs had minimal effect on 3T3 toxicity (Figure 3a). In hT bronchiolar epithelial cells, TiO2 was toxic only at a concentration of 1000 μg/ml whereas SiO2 and MWCNT < 8 nm were cytotoxic to these cells at both 100 and 1000 μg/ml (Figure 3b). In hT cells we found that MWCNT <8 nm were substantially more toxic than similar materials with bigger diameters (MWCNT 20-30 nm and >50 nm) (Figure 3b). In RAW macrophages, SiO2 exerted ~40% cell toxicity at low concentration (10 μg/ml), while other materials (TiO2, MWCNT <8 nm, 20-30 nm and >50 nm) showed minimal toxicity (Figure 3C). At 100 and 1000 μg/ml, all test materials were toxic to RAW macrophages (Figure 3C). Among the five nanomaterials, SiO2 exhibited the highest cytotoxicity to RAW macrophages. We also noticed that MWCNT >50 nm are more toxic to RAW macrophages than small diameters of materials (MWCNT <8 and 20-30 nm) (Figure 3c).

Figure 3
figure3

Nanomaterial composition, concentration, and size effects on 3T3, hT and RAW cells. The effect of nanomaterial concentration and composition on survival rates of (a) 3T3 fibroblasts, (b) hT, and (c) RAW cells at 24 hours. Cells were respectively treated with 10, 100, 1000 μg/ml of TiO2, SiO2, MWCNT <8 nm, MWCNT 20-30 nm, and MWCNT >50 nm for 24 hours. Viability was measured using the MTS assay and normalized to untreated cells. Vertical lines denote ±1 SD (n = 4 for all tested samples). Significant ANOVA test among different cell types is represented by bracket with a (*) over each data set. (*) above nanomaterial columns indicates statistically significant difference compared to untreated controls (P < 0.05).

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Effect of material composition on the kinetics of cell viability

Although material composition affects cell viability, it is not clear whether different materials affect the kinetics of cell death. To find the answer, cell toxicity was monitored every 6 hours for 24 hours using MTS assay at a concentration of 100 μg/ml of each nanomaterial. In agreement with previous observations [27–29], we find that nanomaterials prompt the least toxicity on 3T3 fibroblast and most toxicity on RAW macrophages (Figure 4). In 3T3 fibroblasts, nanomaterials-induced cytotoxicity could be seen only after at least 6 hours of nanomaterial exposure to these cells. Furthermore, the difference in cell toxicity is minimal among test nanomaterials (Figure 4a). TiO2, MWCNT 20-30 nm and >50 nm nanomaterials have minimal toxicity to hT bronchiolar epithelial cells (Figure 4b). In hT cells, TiO2 could affect cell viability as early as 6 hours after incubation while MWCNT <8 nm showed significant cytotoxicity at 12 hour time point (Figure 4b). With RAW macrophages, SiO2 or MWCNT 20-30 nm associated cell death can be seen as early as 6 hours of nanomaterial exposure of these cells (Figure 4c). However, the death of RAW macrophages incubated with TiO2, MWCNT <8 nm or >50 nm become prominent at a later time (12 hours) (Figure 4c). These results show that both cell types and material properties affect the kinetic of cell viability.

Figure 4
figure4

Kinetics of cell dependent nanomaterial cytotoxicity. Time dependent toxicity profiles for each nanomaterial group. Nanomaterials cause time-dependent drops in cell viability. Nanomaterials at 100 μg/ml were exposed to (a) 3T3, (b) hT, and (c) RAW cells for 6, 12, 18, and 24 hours. Viability was measured using MTS assay and normalized to untreated cells. Bracket with a (*) represents significant one-way ANOVA at (P < 0.05).

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Nanomaterial-mediated cell toxicity - Reactive oxygen species and lysosomal membrane destabilization in nanoparticle exposed cells

Since material properties affect the kinetics of cell death, it is possible that mechanisms of nanomaterial-mediated cell toxicity vary depending on the composition of material each cell type interacts with. ROS generation has been suggested to be an initial cellular response to nanomaterial internalization and later cell death [13]. Since apparent nanomaterial-associated cell death can be seen as early as 6 hours following exposure, we measured the nanomaterial-mediated cell responses prior to cell death at an earlier time point - 2 hours. Specifically, we measured the production of intracellular ROS via H2DCFDA oxidation assay. We find significant upregulation in ROS in 3T3 cells with all nanomaterials (Figure 5a). In hT cells, we observe significant ROS generation only after exposure to SiO2 and MWCNT <8 nm. In RAW cells significant ROS generation was found in cells incubated with SiO2, TiO2, MWCNT <8 nm and MWCNT >50 nm. Surprisingly, our results show that, after exposed to nanomaterials, 3T3 fibroblasts produce more ROS than hT cells and RAW cells. hT cells prompted the least ROS production after incubation with TiO2, SiO2 and MWCNT >50 nm while RAW cells produced the least ROS after exposed to MWCNT 20-30 nm. We also noticed that MWCNT diameter affected the degree of ROS production in both hT cells and RAW cells (Figure 5a).

Figure 5
figure5

Nanomaterial dependent ROS generation and lysosomal membrane destabilization (LMD) in 3T3, hT, and RAW cells. (a) ROS generation was quantified using 2',7'-dichlorodihydrofluorescein diacetate (H2DCFDA) for untreated cells and compared to cells exposed with each test nanomaterial for 2 hours at 100 μg/ml. LMD was visualized via acridine orange staining in (b) 3T3, (c) hT, and (d) RAW cells exposed to nanomaterials at 100 μg/ml for 4 hrs. In control (healthy) cells, lysosomes can be seen as red-orange granules and cytoplasm has a diffuse green fluorescence. In cells with lysosomal membrane damage, lysosomes exhibit a shift from red-orange to a green color and overall intensity of green fluorescence is increased in these cells. (e) Quantification of LMD after 4 hours of exposure to nanomaterials at 100 μg/ml was done via acridine orange relocation technique. For each nanomaterial, bracket with a (*) indicates significant difference between different cell types by ANOVA. (*) above nanomaterial columns indicates significant difference from untreated cells by Bonferroni test.

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Increased ROS production has been associated with lysosomal membrane destabilization (LMD) [48]. To test this, the ability of nanoparticles and nanotubes (all at 100 μg/ml) to damage lysosomal membranes was assessed using the acridine orange (AO) relocation assay. The extent of LMD in variously treated cells can be visualized under microscopy (Figure 5b, c, d) which was then quantitatively analyzed using a fluorescence plate reader (Figure 5e). In control 3T3 cells, the lysosomes (red-orange granules) can be clearly seen (Figure 5b). 3T3 cells treated with TiO2 showed little or no LMD by microscopic observation. However, MWCNT <8 nm caused pronounced LMD as evidenced by the release of lysosomal contents into the cytoplasm (reduction in red and enhanced green fluorescence). Minor lysosomal damage can also be seen in some 3T3 cells treated with MWCNT 20-30 nm and >50 nm. Given the much lower ROS production in hT and RAW cells, we assumed that LMD might not be prominent in these cells. As expected, there was no detectable destabilization of lysosomal membranes observed in hT and RAW cells when exposed to TiO2, SiO2, MWCNT <8 nm and 20-30 nm by visual inspection (Figure 5c, d). Minor lysosomal damage was seen in hT and RAW cells exposed to MWCNT >50 nm (Figure 5c, d).

The extent of LMD in variously treated cells was quantified through measurement of the ratio of 530 nm and 620 nm fluorescence intensity. Control ratio was set to 100% and nanomaterial values were compared to the normalized untreated cells (Figure 5e). As observed microscopically, only MWCNT <8 nm exposed to 3T3 cells had a substantial increase in LMD, while MWCNT 20-30 nm caused only a slight increase in LMD. In agreement with visual observation, quantification of LMD in nanomaterial exposed hT cells and RAW cells affirmed no significant LMD for TiO2, SiO2, MWCNT <8 nm and 20-30 nm nanomaterials. Small degree of LMD was found in hT cells and RAW cells after incubation with MWCNT >50 nm (Figure 5e). Our results suggest that nanomaterial-associated LMD is responsible for the nanomaterial-induced toxicity in 3T3 fibroblasts, but not in hT bronchiolar epithelial cells and RAW macrophages.

Nanomaterial-mediated cell toxicity - Mitochondrial membrane potential and caspase-3/7 activation in nanoparticle exposed cells

To search for alternative mechanisms of nanomaterial-mediated cytotoxicity in hT bronchiolar epithelial cells and RAW macrophages, we examined the changes of mitochondrial membrane potential (MMP) in all cell lines after particle exposure. This hypothesis is supported by many recent observations that the decrements in mitochondrial membrane potential (MMP) may be responsible for apoptosis [26, 48]. We find that MWCNT <8 nm caused profound loss of MMP in all cells. On the other hand, MMP reduction is found in hT cell exposed to SiO2 and in RAW cells incubated with either SiO2 or MWCNT >50 nm (Figure 6a). These results suggest that cytotoxicity of SiO2, MWCNT <8 nm and >50 nm in hT cells and RAW macrophages may be associated with MMP reduction.

Figure 6
figure6

Nanomaterial dependent Mitochondrial membrane potential (MMP) and Caspase-3/7 activation in 3T3, hT, and RAW cells. (a) MMP was monitored following 6 hrs of nanomaterial exposure at 100 μg/ml using MitoProbe DilC1(5) Assay Kit. (b) Caspase activity in all three cell types was assessed using Sensolyte Homogeneous AMC Caspase-3/7 Assay Kit following 10 hours of exposure to all materials at 100 μg/ml. For each nanomaterial, bracket with a (*) indicates significant difference between different cell types by ANOVA. (*) above nanomaterial columns indicates significant difference from untreated/control cells by Bonferroni test.

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The observed differences in ROS generation, LMD, and MMP, along with cell viability at 24 hours, led us to speculate as to whether activation of caspase 3/7 is also involved. For that, we measured the activation of caspase 3/7 in cells treated with 100 μg/ml of nanoparticles to assess activation of apoptosis. In 3T3 fibroblasts, we observe caspase 3/7 activation in cells exposed to TiO2 and MWCNT 20-30 nm indicated by the slight increase in detection levels (Figure 6b). In comparison to 3T3 fibroblast responses, we find that only MWCNT < 8 nm-incubated hT and MWCNT >50 nm-incubated RAW cells were able to induce significant caspase activation while no significant caspase 3/7 activation was seen in other treated hT and RAW cells (Figure 6b).

Nanomaterial-mediated cell toxicity - Mode of nanoparticle induced cell death

Since caspase-3/7 activation was found in some nanoparticle-exposed cells and caspase activation may lead to apoptosis [13], we carried out studies to study the effect of nanomaterial treatments on mode of cell death - apoptosis vs. necrosis - using annexin V/propidium iodide assay. After incubation for 20 hours, which was sufficient time to induce cell death, we found that different nanomaterials triggered different extent of cell apoptosis (Figure 7a). As anticipated, small percentages ( < 10%) of 3T3 cells incubated with SiO2, MWCNT <8 nm, 20-30 nm and >50 nm had undergone apoptosis. Other types of nanomaterials did not trigger apoptosis in 3T3 fibroblasts. In hT cells, we saw ~50% and ~25% apoptotic cells when exposed to SiO2 and MWCNT <8 nm, respectively. Interestingly, TiO2, MWCNT 20-30 nm and >50 nm did not cause apoptosis in hT cells (Figure 7a). In agreement with previous observations, we observed large percentages (~50, 90, and 60%) of apoptotic cells when RAW cells were incubated with TiO2, SiO2 and MWCNT >50 nm, respectively (Figure 7a). It should be noted that fewer but significant numbers, of apoptotic cells were also found in RAW cells exposed to MWCNT <8 nm and 20-30 nm. A parallel study was also carried out to determine whether necrosis plays a role in nanomaterial cytotoxicity. We find only a few nanomaterials may trigger necrotic reactions causing very small percentages of cell death (Figure 7b).

Figure 7
figure7

Nanomaterial induced apoptosis and necrosis in 3T3, hT and RAW cells. Annexin V-FITC/PI double staining was performed to distinguish 3T3, hT and RAW cells undergoing (a) Apoptosis and (b) necrosis following 20 hours of exposure to all nanomaterials at 100 μg/ml. For each nanomaterial, bracket with a (*) indicates significant difference between different cell types by ANOVA. (*) above nanomaterial columns indicates significant difference from untreated/control cells by Bonferroni test.

Full size image

Discussion

The purpose of this study was to examine cell dependent responses to nanomaterials of variable compositions and sizes through assessing their characteristics in aqueous solution and their ability to adsorb serum proteins from culture media, through monitoring their cellular uptake, cell viability, intracellular responses and potential mechanisms of toxicity. To distinguish these effects, we selected a model cell panel which included cells with distinctly different physiological roles, yet similar susceptibility to nanomaterial exposure whether through environmental or biomedical routes. The cell culture model was selected based on physiological relevance and nanoparticles were evaluated over a range of concentrations to additionally investigate concentration dependent effects.

Foreign particles, especially nanoparticles which have large surface area have strong tendency to agglomerate in the liquid [57] and interact with biomolecules such as proteins and DNA in biological environment [58–60]. Since these characteristics contribute to particle uptake and variable intracellular responses [59], we included these occasionally overlooked factors into our design, in accordance with recent trends in nanotoxicology publications [41, 42, 61]. In PBS and culture media at low concentration (10 μg/ml), among the five nanomaterials, the metal oxides displayed the highest tendency to form aggregates while MWCNT >50 nm were least inclined to form aggregates. Although the metal oxides differed in particle size, their average size in PBS was identical. Therefore it seems that a particle's surface chemistry and/or the environment, rather than size, might be the determining factor in its propensity to form aggregates in liquid as previously reported [62, 63].

The size of the aggregates seemed to be concentration dependent and extent of nanomaterial aggregation was identical in both PBS and cell culture media, with aggregate size slightly larger in cell culture media. Since the presence of monovalent and divalent cations has been shown to cause nanomaterials to aggregate, the observed similarity could be because of similarity in ionic strength between these solutions [63]. The presence of serum proteins did not significantly affect the size of aggregates, but since nearly all foreign materials adsorb a layer of host protein [59] we examined the level of protein adsorption on these different nanomaterials. Our results are consistent with this phenomenon and are in agreement with previous reports on metal oxides and carbon nanotubes [41, 43, 61] which found that all nanomaterials adsorb media components such as Ca2+ and serum proteins, which then affects their agglomeration and size distribution. It has been hypothesized that protein adsorption decreases with increasing size [41], a trend which we were unable to show in this study and is likely more related to the particle geometry and charge than size alone. Although all nanomaterials initially adsorbed similar amount of serum from the media, the total amounts of adsorbed protein decreased with time and the extent of protein desorption was material dependent. This might be one of the factors leading to varied intracellular responses and toxicological outputs because once proteins are adsorbed onto nanoparticle surfaces they might undergo conformational changes [58]. This could then cause exposure of new epitopes that may accidentally be recognized by signalling proteins inside cells and trigger signalling pathways [58]. Such processes can also affect a nanomaterial's association with cellular membrane and uptake in cells [42, 62].

The flow cytometry uptake studies showed that the nanomaterial affected the side scatter, which can be related to nanomaterial uptake or its presence on the membrane of the cell or due to changes in the organelles within the cell. This is based on not only their size and geometry, but also their protein adsorption properties. TiO2 nanoparticles caused the greatest increase in side scatter in all cells followed by MWCNT <8 nm and MWCNT >50 nm while MWCNT 20-30 and SiO2 caused the least shift in side scatter by all cells. Although the cause for high cellular uptake/interaction of TiO2 nanoparticles by cells has yet to be determined, it is possible that agglomerated TiO2 nanoparticles form particle clusters and thus accumulated higher amount of adsorbed protein compared with larger size particles, such as SiO2 nanoparticles, as indicated in a recent report [57]. Additionally, we observed that the geometry of nanomaterials also appeared to affect their uptake/interaction in all three cells, especially with the ultra-small TiO2 nanoparticles and MWCNT <8 nm. This is in agreement with recent report which showed that rod shaped nanoparticles had lower uptake compared to spherical shaped nanoparticles [64]. We have also noticed that different cells exert varying extent of particle uptake/interaction. Amongst all the nanomaterials investigated, the lowest uptake/interaction of SiO2 and MWCNT 20-30 nm was observed in 3T3 fibroblasts with a similar degree of side scatter as well. However, in hT bronchiolar epithelial cells, MWCNT >50 uptake/interaction was the least while SiO2 and MWCNT 20-30 nm exhibited slightly higher, yet still similar, amount of uptake/interaction. In RAW cells, however, MWCNT 20-30 nm appeared to interact or was taken up the least by these cells. We validated these responses prior to any particle-induced toxicity studies as many studies investigate nanoparticle exposure in the absence of serum, a distinctly non-physiological situation, which may affect nanoparticle uptake in cells and hence toxicity. Furthermore, flow cytometric analyses on concentration dependent change in side scatter were carried out at the other two concentrations, 10 μg/ml and 100 μg/ml. We found that increased nanomaterial exposure resulted in proportional increases in particle uptake in agreement with other studies on metal oxides, ceria and polymer nanoparticles [45, 57, 65]. As a result, this may lead to contradictory cellular responses and dramatically alter the mechanism of uptake and toxicity [66]. Nanoparticle-induced cell toxicity also varied based on particle composition, size and the cell type it was exposed to; however, the particle uptake did not correlate with its cytotoxicity.

Consistent with many previous observations [49], we observe that toxicity increases dependent on concentration. RAW macrophages appear particularly susceptible to higher concentrations, more so than 3T3 or hT cells regardless of particle composition or size. This is likely related to the physiological function of macrophages [67]. It is well established that macrophages readily phagocytose non-targeted nanoparticles at a very high rate [65, 68], and are more capable of uptake than other stromal cell types. The avid uptake of nanoparticles by these cells makes them more susceptible to particle overload and cell death, especially in the case of nanoparticles with non-spherical geometries - such as MWCNT- which take longer to expel than spherical nanoparticles [69, 70]. In addition, macrophage interactions with nanoparticles may lead to cytolysis, resulting in the release of inflammatory mediators which increase systemic responses to the foreign material [65, 70]. As such, these cell dependent processes may explain higher toxicity levels seen in RAW macrophages at higher concentrations investigated. In addition, possibly due the physiological functions of fibroblasts and epithelial cells, these cells appear to be less sensitive to increases in concentration in comparison to RAW macrophages. This may be due to intracellular mechanisms which restrict continuous nanoparticle uptake due to saturation [71–73].

In addition to nanomaterial composition, size and concentration, the influence of cell type is of paramount importance in nanomaterial toxicity as highlighted in other recent investigations in cell vs. cell comparisons [49]. Both 3T3 fibroblasts and hT epithelial cells only showed susceptibility to TiO2 at elevated concentrations where viability fell to near 50%. Though responses were similar, TiO2 was able to induce substantially higher levels of ROS in 3T3 than in hT cells. ROS generation in 3T3 cells exposed to nanoparticles has also been reported by many other groups [14, 74]. Reduced ROS in hT bronchial epithelial cells might be associated with the presence of metallothionein (MT), a cysteine-rich metal-binding and detoxification protein which protects against oxidative damage and is upregulated in lung cells under oxidative stress [75–82]. However, TiO2 had a much more prominent cytotoxic effect on RAW macrophages, potentially related to cell properties as previously mentioned as well as to the tendency of TiO2 to promote ROS generation after uptake in RAW macrophages [83]. However, MWCNT < 8 nm were generally more toxic to all cells (similar diameter, cylindrical vs. spherical geometry) than TiO2. Several investigations have reported increased toxicity of MWCNT compared to other nanoparticle types [84, 85], and may related to geometry and agglomeration [86] and subsequent mechanism of uptake followed by downstream cellular responses.

To what degree does size dictate the cellular response? It has been suggested that the smaller a nanomaterial's dimensions the greater its toxicity [87]. In addition, geometrical configurations have been shown to affect the response [88]. However, our results demonstrate the importance of both cell type and composition regarding size considerations. For example, with RAW macrophages at 100 μg/ml TiO2 nanoparticle toxicity is less than MWCNT <8 nm which are of similar size. To our surprise, however, the cylindrical shaped but larger diameter MWCNT 20-30 nm had a cell specific response, with low toxicity to hT cells, moderate for 3T3 cells, and high toxicity to RAW macrophages. Interestingly, the toxicity of 3T3 and hT to MWCNT 20-30 nm only slightly changes with increasing concentration, while RAW macrophages have a drastic reduction in viability as concentration increases. This may be due to reduced fibroblast and epithelial cell interaction with the certain nanoparticle formulations, where the macrophages may have an enhanced ability to interact with the same nanomaterials based on innate physiological functions [49]. This hypothesis is supported by our flow cytometry data, which suggest that TiO2 and MWCNT < 8 nm are able to more quickly and efficiently be taken up into cells than the larger MWCNT 20-30 nm. Based on these results, it appears that material properties and geometry of nanomaterials may have a more prominent effect on cellular responses than size alone. However, larger discrepancies in size (micro vs. nano scale) and shape (spherical vs. rod) between materials of the same composition will likely yield size/shape dependent in vitro and in vivo cellular responses as shown in previous studies [88–93].

Finally we assessed the potential mechanisms of toxicity by investigating the ability of nanoparticles of different size and composition to cause lysosomal membrane destabilization, to reduce mitochondrial membrane potential and to activate caspase 3/7. Various toxicity studies have shown that nanomaterial-induced ROS generation causes lysosomal membrane destabilization, DNA damage and mitochondrial membrane potential; leading to increases in the activation of p53, caspase-3 and caspase-7, and eventual cell death via apoptosis [13, 15, 17, 22, 94, 95]. Our results suggest that nanomaterials may cause cell death via different cytotoxicity pathways as shown in Table 3. Specifically, 3T3 fibroblasts are most resistant to nanomaterial toxicity among the three cells that were tested. The cytotoxicity of TiO2 and SiO2 nanomaterials to 3T3 cells is likely mediated by ROS generation followed by caspase 3/7 activation. It should be noted that both TiO2 and SiO2 nanomaterials increase ROS production without triggering lysosomal membrane destabilization, although increased ROS have been shown to cause lysosomal destabilization and rupture leading to apoptosis [48, 96]. Furthermore, regardless of MWCNT diameter, MWCNT-mediated fibroblast toxicity is associated with ROS production, LMD, and eventual cell death via apoptosis (Table 3). This sequence of events is supported by recent observations that a high degree of lysosomal membrane destabilization early after nanoparticle exposure may lead to excessive leakage of lysosomal contents into the cytoplasm causing cell death [97–99]. Interestingly, MWCNT < 8 nm-mediated reduction of mitochondrial membrane potential and MWCNT 20-30 nm-associated caspase 3/7 activation may also contribute to nanotoxicity in 3T3 fibroblasts.

Table 3 Summary of Cellular Responses to Nanomaterials.
Full size table

Both SiO2 nanomaterials and MWCNT < 8 nm exert substantial cytotoxicity to hT bronchiolar epithelial cells. Rather uniquely, despite distinct chemical and physical properties, both types of nanomaterials caused toxicity of hT cells via identical sequence of events including ROS production, mitochondrial membrane potential loss, caspase 3/7 activation, and apoptosis (Table 3). In the case of nanotoxicity to RAW macrophages, there is a good relationship between the percentage of cell death and of apoptotic cells (Table 3). Lysosomal membrane destabilization was only found in RAW cells treated with MWCNT >50 nm. Mitochondrial membrane potential loss does not correlate with cytotoxicity and can only be found in cells incubated with SiO2, MWCNT < 8 and > 50 nm. Differing from 3T3 cells and hT cells, caspase 3/7 activation played an insignificant role in nanomaterial-associated cytotoxicity of RAW macrophages (Table 3). RAW macrophages have previously been shown to be susceptible to caspase activation and apoptosis after polystyrene nanoparticle uptake [49]. It is possible that nanomaterial-associated caspase activation in RAW cells is unique to polystyrene materials. This provides an illustration of the fact that nanoparticles of different composition and size can generate different degrees of intracellular responses which may not directly correlate with other intracellular responses and mechanisms of cytotoxicity.

Since nanomaterial exposure can occur through a variety of routes depending on the environmental or medical nature of the exposure, several different cell types could potentially be exposed. For instance, TiO2 instilled into the trachea has been shown to be highly pro-inflammatory and induce fibrosis. In this model, TiO2 delivered at 1000 μg/ml induced only moderate toxicity to bronchiolar epithelial cells. However, lower concentrations may exert stronger cytotoxicity to pulmonary macrophages. We believe this highlights the need for studies such as this, which may provide transitions to animal models with knowledge of cell susceptibilities and potential routes of toxicity.

Conclusions

Overall, nanomaterial size and composition plays a distinct role in the cellular response. In addition, this response is variable between cell types and is likely related to the physiological function of the cell types. We also verified that the same material can cause different intracellular responses and potential mechanism of toxicity depending on the exposed cell type. We believe these findings both highlight the importance of analyzing the effects of nanoparticles in the most relevant exposure model and support the idea that nanoparticle engineering strategies should be focused on the potential cell types which might be normally exposed to the particles. The ability to engineer nanoparticles that minimize cytotoxicity to a range of potentially exposed cells will assist future nanoparticle development and safety. Finally, we find that potential toxicity mechanisms of nanoparticle interactions with tissue and blood cells may differ drastically from external barrier cells and warrants further investigation.

References

  1. 1.

    Donaldson K, Stone V, Tran CL, Kreyling W, Borm PJ: Nanotoxicology. Occup Environ Med 2004, 61: 727–728. 10.1136/oem.2004.013243

  2. 2.

    Nel A, Xia T, Madler L, Li N: Toxic potential of materials at the nanolevel. Science 2006, 311: 622–627. 10.1126/science.1114397

  3. 3.

    Oberdorster G, Oberdorster E, Oberdorster J: Nanotoxicology: an emerging discipline evolving from studies of ultrafine particles. Environ Health Perspect 2005, 113: 823–839. 10.1289/ehp.7339

  4. 4.

    Donaldson K, Tran CL: Inflammation caused by particles and fibers. Inhal Toxicol 2002, 14: 5–27. 10.1080/089583701753338613

  5. 5.

    Nel A: Atmosphere. Air pollution-related illness: effects of particles. Science 2005, 308: 804–806. 10.1126/science.1108752

  6. 6.

    Warheit DB, Laurence BR, Reed KL, Roach DH, Reynolds GA, Webb TR: Comparative pulmonary toxicity assessment of single-wall carbon nanotubes in rats. Toxicol Sci 2004, 77: 117–125. 10.1093/toxsci/kfg228

  7. 7.

    Zhou YM, Zhong CY, Kennedy IM, Leppert VJ, Pinkerton KE: Oxidative stress and NFkappaB activation in the lungs of rats: a synergistic interaction between soot and iron particles. Toxicol Appl Pharmacol 2003, 190: 157–169. 10.1016/S0041-008X(03)00157-1

  8. 8.

    Lam CW, James JT, McCluskey R, Hunter RL: Pulmonary toxicity of single-wall carbon nanotubes in mice 7 and 90 days after intratracheal instillation. Toxicol Sci 2004, 77: 126–134. 10.1093/toxsci/kfg243

  9. 9.

    Lin W, Huang YW, Zhou XD, Ma Y: In vitro toxicity of silica nanoparticles in human lung cancer cells. Toxicol Appl Pharmacol 2006, 217: 252–259. 10.1016/j.taap.2006.10.004

  10. 10.

    Cui D, Tian F, Ozkan CS, Wang M, Gao H: Effect of single wall carbon nanotubes on human HEK293 cells. Toxicol Lett 2005, 155: 73–85. 10.1016/j.toxlet.2004.08.015

  11. 11.

    Stone V, Johnston H, Clift MJD: Air Pollution, Ultrafine and Nanoparticle Toxicology: Cellular and Molecular Interactions. NanoBioscience, IEEE Transactions on 2007, 6: 331–340. 10.1109/TNB.2007.909005

  12. 12.

    Wang L, Wang K, Santra S, Zhao X, Hilliard LR, Smith JE, Wu Y, Tan W: Watching Silica Nanoparticles Glow in the Biological World. Analytical Chemistry 2006, 78: 646. 10.1021/ac0693619

  13. 13.

    Long TC, Tajuba J, Sama P, Saleh N, Swartz C, Parker J, Hester S, Lowry GV, Veronesi B: Nanosize titanium dioxide stimulates reactive oxygen species in brain microglia and damages neurons in vitro. Environ Health Perspect 2007, 115: 1631–1637. 10.1289/ehp.10216

  14. 14.

    Yang W, Peters JI, Williams Iii RO: Inhaled nanoparticles--A current review. International Journal of Pharmaceutics 2008, 356: 239–247. 10.1016/j.ijpharm.2008.02.011

  15. 15.

    Kang SJ, Kim BM, Lee YJ, Chung HW: Titanium dioxide nanoparticles trigger p53-mediated damage response in peripheral blood lymphocytes. Environ Mol Mutagen 2008, 49: 399–405. 10.1002/em.20399

  16. 16.

    Gurr JR, Wang AS, Chen CH, Jan KY: Ultrafine titanium dioxide particles in the absence of photoactivation can induce oxidative damage to human bronchial epithelial cells. Toxicology 2005, 213: 66–73. 10.1016/j.tox.2005.05.007

  17. 17.

    Park E-J, Yi J, Chung K-H, Ryu D-Y, Choi J, Park K: Oxidative stress and apoptosis induced by titanium dioxide nanoparticles in cultured BEAS-2B cells. Toxicology Letters 2008, 180: 222–229. 10.1016/j.toxlet.2008.06.869

  18. 18.

    Hussain SM, Hess KL, Gearhart JM, Geiss KT, Schlager JJ: In vitro toxicity of nanoparticles in BRL 3A rat liver cells. Toxicol In Vitro 2005, 19: 975–983. 10.1016/j.tiv.2005.06.034

  19. 19.

    Thevenot P, Cho J, Wavhal D, Timmons RB, Tang L: Surface chemistry influences cancer killing effect of TiO2 nanoparticles. Nanomedicine: Nanotechnology, Biology and Medicine 2008, 4: 226–236. 10.1016/j.nano.2008.04.001

  20. 20.

    Sayes CM, Wahi R, Kurian PA, Liu Y, West JL, Ausman KD, Warheit DB, Colvin VL: Correlating nanoscale titania structure with toxicity: a cytotoxicity and inflammatory response study with human dermal fibroblasts and human lung epithelial cells. Toxicol Sci 2006, 92: 174–185. 10.1093/toxsci/kfj197

  21. 21.

    Singh S, Shi T, Duffin R, Albrecht C, van Berlo D, Hohr D, Fubini B, Martra G, Fenoglio I, Borm PJ, Schins RP: Endocytosis, oxidative stress and IL-8 expression in human lung epithelial cells upon treatment with fine and ultrafine TiO2: role of the specific surface area and of surface methylation of the particles. Toxicol Appl Pharmacol 2007, 222: 141–151. 10.1016/j.taap.2007.05.001

  22. 22.

    Thibodeau M, Giardina C, Hubbard AK: Silica-induced caspase activation in mouse alveolar macrophages is dependent upon mitochondrial integrity and aspartic proteolysis. Toxicol Sci 2003, 76: 91–101. 10.1093/toxsci/kfg178

  23. 23.

    Thibodeau MS, Giardina C, Knecht DA, Helble J, Hubbard AK: Silica-induced apoptosis in mouse alveolar macrophages is initiated by lysosomal enzyme activity. Toxicol Sci 2004, 80: 34–48. 10.1093/toxsci/kfh121

  24. 24.

    Wang L, Bowman L, Lu Y, Rojanasakul Y, Mercer RR, Castranova V, Ding M: Essential role of p53 in silica-induced apoptosis. Am J Physiol Lung Cell Mol Physiol 2005, 288: L488–496. 10.1152/ajplung.00123.2003

  25. 25.

    Fubini B, Hubbard A: Reactive oxygen species (ROS) and reactive nitrogen species (RNS) generation by silica in inflammation and fibrosis. Free Radic Biol Med 2003, 34: 1507–1516. 10.1016/S0891-5849(03)00149-7

  26. 26.

    Zhao M, Antunes F, Eaton JW, Brunk UT: Lysosomal enzymes promote mitochondrial oxidant production, cytochrome c release and apoptosis. Eur J Biochem 2003, 270: 3778–3786. 10.1046/j.1432-1033.2003.03765.x

  27. 27.

    Chang J-S, Chang KLB, Hwang D-F, Kong Z-L: In Vitro Cytotoxicitiy of Silica Nanoparticles at High Concentrations Strongly Depends on the Metabolic Activity Type of the Cell Line. Environmental Science & Technology 2007, 41: 2064.

  28. 28.

    Hirano S, Kanno S, Furuyama A: Multi-walled carbon nanotubes injure the plasma membrane of macrophages. Toxicol Appl Pharmacol 2008, 232: 244–251. 10.1016/j.taap.2008.06.016

  29. 29.

    Ding L, Stilwell J, Zhang T, Elboudwarej O, Jiang H, Selegue JP, Cooke PA, Gray JW, Chen FF: Molecular characterization of the cytotoxic mechanism of multiwall carbon nanotubes and nano-onions on human skin fibroblast. Nano Lett 2005, 5: 2448–2464. 10.1021/nl051748o

  30. 30.

    Bottini M, Bruckner S, Nika K, Bottini N, Bellucci S, Magrini A, Bergamaschi A, Mustelin T: Multi-walled carbon nanotubes induce T lymphocyte apoptosis. Toxicol Lett 2006, 160: 121–126. 10.1016/j.toxlet.2005.06.020

  31. 31.

    Pulskamp K, Diabate S, Krug HF: Carbon nanotubes show no sign of acute toxicity but induce intracellular reactive oxygen species in dependence on contaminants. Toxicol Lett 2007, 168: 58–74. 10.1016/j.toxlet.2006.11.001

  32. 32.

    Grabinski C, Hussain S, Lafdi K, Braydich-Stolle L, Schlager J: Effect of particle dimension on biocompatibility of carbon nanomaterials. Carbon 2007, 45: 2828–2835. 10.1016/j.carbon.2007.08.039

  33. 33.

    Chlopek J, Czajkowska B, Szaraniec B, Frackowiak E, Szostak K, Béguin F: In vitro studies of carbon nanotubes biocompatibility. Carbon 2006, 44: 1106–1111. 10.1016/j.carbon.2005.11.022

  34. 34.

    Lovrić J, Bazzi HS, Cuie Y, Fortin GRA, Winnik FM, Maysinger D: Differences in subcellular distribution and toxicity of green and red emitting CdTe quantum dots. Journal of Molecular Medicine 2005, 83: 377–385. 10.1007/s00109-004-0629-x

  35. 35.

    Schrand AM, Dai L, Schlager JJ, Hussain SM, Osawa E: Differential biocompatibility of carbon nanotubes and nanodiamonds. Diamond and Related Materials 2007, 16: 2118–2123. 10.1016/j.diamond.2007.07.020

  36. 36.

    Rothen-Rutishauser B, Muhlfeld C, Blank F, Musso C, Gehr P: Translocation of particles and inflammatory responses after exposure to fine particles and nanoparticles in an epithelial airway model. Particle and Fibre Toxicology 2007, 4: 9. 10.1186/1743-8977-4-9

  37. 37.

    Ju-Nam Y, Lead JR: Manufactured nanoparticles: An overview of their chemistry, interactions and potential environmental implications. Science of The Total Environment 2008, 400: 396–414. 10.1016/j.scitotenv.2008.06.042

  38. 38.

    Warheit DB, Sayes CM, Reed KL, Swain KA: Health effects related to nanoparticle exposures: Environmental, health and safety considerations for assessing hazards and risks. Pharmacology & Therapeutics 2008, 120: 35–42.

  39. 39.

    Maurer-Jones MA, Bantz KC, Love SA, Marquis BJ, Haynes CL: Toxicity of therapeutic nanoparticles. Nanomedicine 2009, 4: 219–241. 10.2217/17435889.4.2.219

  40. 40.

    Longmire M, Choyke PL, Kobayashi H: Clearance properties of nano-sized particles and molecules as imaging agents: considerations and caveats. Nanomedicine 2008, 3: 703–717. 10.2217/17435889.3.5.703

  41. 41.

    Horie M, Nishio K, Fujita K, Endoh S, Miyauchi A, Saito Y, Iwahashi H, Yamamoto K, Murayama H, Nakano H, et al.: Protein Adsorption of Ultrafine Metal Oxide and Its Influence on Cytotoxicity toward Cultured Cells. Chemical Research in Toxicology 2009, 22: 543–553. 10.1021/tx800289z

  42. 42.

    Ehrenberg MS, Friedman AE, Finkelstein JN, Oberdörster G, McGrath JL: The influence of protein adsorption on nanoparticle association with cultured endothelial cells. Biomaterials 2009, 30: 603–610. 10.1016/j.biomaterials.2008.09.050

  43. 43.

    Stayton I, Winiarz J, Shannon K, Ma Y: Study of uptake and loss of silica nanoparticles in living human lung epithelial cells at single cell level. Analytical and Bioanalytical Chemistry 2009, 394: 1595–1608. 10.1007/s00216-009-2839-0

  44. 44.

    Soejima K, Fang W, Rollins BJ: DNA methyltransferase 3b contributes to oncogenic transformation induced by SV40T antigen and activated Ras. Oncogene 2003, 22: 4723–4733. 10.1038/sj.onc.1206510

  45. 45.

    Suzuki H, Toyooka T, Ibuki Y: Simple and easy method to evaluate uptake potential of nanoparticles in mammalian cells using a flow cytometric light scatter analysis. Environ Sci Technol 2007, 41: 3018–3024. 10.1021/es0625632

  46. 46.

    Worle-Knirsch JM, Pulskamp K, Krug HF: Oops they did it again! Carbon nanotubes hoax scientists in viability assays. Nano Lett 2006, 6: 1261–1268. 10.1021/nl060177c

  47. 47.

    Yang H, Liu C, Yang D, Zhang H, Xi Z: Comparative study of cytotoxicity, oxidative stress and genotoxicity induced by four typical nanomaterials: the role of particle size, shape and composition. J Appl Toxicol 2009, 29: 69–78. 10.1002/jat.1385

  48. 48.

    Kroemer G, Jaattela M: Lysosomes and autophagy in cell death control. Nat Rev Cancer 2005, 5: 886–897. 10.1038/nrc1738

  49. 49.

    Xia T, Kovochich M, Liong M, Zink JI, Nel AE: Cationic Polystyrene Nanosphere Toxicity Depends on Cell-Specific Endocytic and Mitochondrial Injury Pathways. ACS Nano 2008, 2: 85–96. 10.1021/nn700256c

  50. 50.

    Zdolsek JM, Olsson GM, Brunk UT: Photooxidative damage to lysosomes of cultured macrophages by acridine orange. Photochem Photobiol 1990, 51: 67–76. 10.1111/j.1751-1097.1990.tb01685.x

  51. 51.

    Servais H, Van Der Smissen P, Thirion G, Van Der Essen G, Van Bambeke F, Tulkens PM, Mingeot-Leclercq M-P: Gentamicin-induced apoptosis in LLC-PK1 cells: Involvement of lysosomes and mitochondria. Toxicol Appl Pharmacol 2005, 206: 321–333. 10.1016/j.taap.2004.11.024

  52. 52.

    Zareba M, Raciti MW, Henry MM, Sarna T, Burke JM: Oxidative stress in ARPE-19 cultures: Do melanosomes confer cytoprotection? Free Radic Biol 2006, 40: 87–100. 10.1016/j.freeradbiomed.2005.08.015

  53. 53.

    Slee EA, Harte MT, Kluck RM, Wolf BB, Casiano CA, Newmeyer DD, Wang HG, Reed JC, Nicholson DW, Alnemri ES, et al.: Ordering the cytochrome c-initiated caspase cascade: hierarchical activation of caspases-2, -3, -6, -7, -8, and -10 in a caspase-9-dependent manner. J Cell Biol 1999, 144: 281–292. 10.1083/jcb.144.2.281

  54. 54.

    Hanley C, Layne J, Punnoose A, Reddy KM, Coombs I, Coombs A, Feris K, Wingett D: Preferential killing of cancer cells and activated human T cells using ZnO nanoparticles. Nanotechnology 2008, 19: 1–10. 10.1088/0957-4484/19/29/295103

  55. 55.

    Van Engeland M, Ramaekers FCS, Schutte B, Reutelingsperger PM: A novel assay to measure loss of plasma membrane assymetry during apoptosis of adherent cells in culture. Cytometry 1996, 24: 131–139. 10.1002/(SICI)1097-0320(19960601)24:2<131::AID-CYTO5>3.0.CO;2-M

  56. 56.

    Tang L, Wu Y, Timmons RB: Fibrinogen adsorption and host tissue responses to plasma functionalized surfaces. Journal of Biomedical Materials Research 1998, 42: 156–163. 10.1002/(SICI)1097-4636(199810)42:1<156::AID-JBM19>3.0.CO;2-J

  57. 57.

    Limbach LK, Li Y, Grass RN, Brunner TJ, Hintermann MA, Muller M, Gunther D, Stark WJ: Oxide nanoparticle uptake in human lung fibroblasts: Effects of particle size, agglomeration and diffusion at low concentrations. Environ Sci Technol 2005, 39: 9370–9376. 10.1021/es051043o

  58. 58.

    Mu X, Li Z, Li X, Mishra SR, Zhang B, Si Z, Yang L, Jiang W, Yan B: Characterization of protein clusters of diverse magnetic nanoparticles and their dynamic interactions with human cells. J Phys Chem C 2009, 113: 5390–5395. 10.1021/jp809493t

  59. 59.

    Xia T, Kovochich M, Liong M, Zink JI, Nel AE: Cationic polystyrene nanosphere toxicity depends on cell-specific endocytic and mitochondrial injury pathways. ACS Nano 2008, 2: 85–96. 10.1021/nn700256c

  60. 60.

    Thevenot P, Hu W, Tang L: Surface chemistry influences implant biocompatibility. Curr Top Med Chem 2008, 8: 270–280. 10.2174/156802608783790901

  61. 61.

    Zhu Y, Li W, Li Q, Li Y, Li Y, Zhang X, Huang Q: Effects of serum proteins on intracellular uptake and cytotoxicity of carbon nanoparticles. Carbon 2009, 47: 1351–1358. 10.1016/j.carbon.2009.01.026

  62. 62.

    Karatoki AS, Hench LL, Seal S: The potential toxicity of nanomaterials-The role of surfaces. JOM 2006, 58: 77–82.

  63. 63.

    Long TC, Saleh N, Tilton RD, Lowry GV, Veronesi B: Titanium dioxide (P25) produces reactive oxygen species in immortalized brain microglia (BV2): implications for nanoparticle neurotoxicity. Environ Sci Technol 2006, 40: 4346–4352. 10.1021/es060589n

  64. 64.

    Chellat F, Merhi Y, Moreau A, Yahia LH: Therapeutic potential of nanoparticulate systems for macrophage targeting. Biomaterials 2005, 26: 7260–7275. 10.1016/j.biomaterials.2005.05.044

  65. 65.

    Koch AM, Reynolds F, Kircher MF, Merkle HP, Weissleder R, Josephson I: Uptake and metabolism of a dual fluorochome Tat-nanoparticle in HeLa cells. Bioconjugate Chem 2003, 14: 1115–1121. 10.1021/bc034123v

  66. 66.

    Tang L, Eaton JW: Natural responses to unnatural materials: A molecular mechanism for foreign body reactions. Mol Med 1999, 5: 351–358.

  67. 67.

    Jiao Sun, Tingting Ding: p53 reaction to apoptosis induced by hydroxyapatite nanoparticles in rat macrophages. Journal of Biomedical Materials Research Part A 2009, (88A):673–679.

  68. 68.

    Clift MJD, Rothen-Rutishauser B, Brown DM, Duffin R, Donaldson K, Proudfoot L, Guy K, Stone V: The impact of different nanoparticle surface chemistry and size on uptake and toxicity in a murine macrophage cell line. Toxicology and Applied Pharmacology 2008, 232: 418–427. 10.1016/j.taap.2008.06.009

  69. 69.

    Hoet PH, Bruske-Hohlfeld I, Salata OV: Nanoparticles - known and unknown health risks. J Nanobiotechnology 2004, 2: 12. 10.1186/1477-3155-2-12

  70. 70.

    Brown DM, Kinloch IA, Bangert U, Windle AH, Walter DM, Walker GS, Scotchford CA, Donaldson K, Stone V: An in vitro study of the potential of carbon nanotubes and nanofibres to induce inflammatory mediators and frustrated phagocytosis. Carbon 2007, 45: 1743–1756. 10.1016/j.carbon.2007.05.011

  71. 71.

    Huang M, Ma Z, Khor E, Lim L-Y: Uptake of FITC-Chitosan Nanoparticles by A549 Cells. Pharmaceutical Research 2002, 19: 1488–1494. 10.1023/A:1020404615898

  72. 72.

    Gref R, Lück M, Quellec P, Marchand M, Dellacherie E, Harnisch S, Blunk T, Müller RH: [']Stealth' corona-core nanoparticles surface modified by polyethylene glycol (PEG): influences of the corona (PEG chain length and surface density) and of the core composition on phagocytic uptake and plasma protein adsorption. Colloids and Surfaces B: Biointerfaces 2000, 18: 301–313. 10.1016/S0927-7765(99)00156-3

  73. 73.

    Yin Win K, Feng S-S: Effects of particle size and surface coating on cellular uptake of polymeric nanoparticles for oral delivery of anticancer drugs. Biomaterials 2005, 26: 2713–2722. 10.1016/j.biomaterials.2004.07.050

  74. 74.

    Karlsson HL, Cronholm P, Gustafsson J, Möller L: Copper Oxide Nanoparticles Are Highly Toxic: A Comparison between Metal Oxide Nanoparticles and Carbon Nanotubes. Chemical Research in Toxicology 2008, 21: 1726–1732. 10.1021/tx800064j

  75. 75.

    Sato M, Bremner I: Oxygen free radicals and metallothionein. Free Radic Biol Med 1993, 14: 325–337. 10.1016/0891-5849(93)90029-T

  76. 76.

    Palmiter RD: The elusive function of metallothioneins. Proc Natl Acad Sci USA 1998, 95: 8428–8430. 10.1073/pnas.95.15.8428

  77. 77.

    Wang Y, Wimmer U, Lichtlen P, Inderbitzin D, Stieger B, Meier PJ, Hunziker L, Stallmach T, Forrer R, Rulicke T, et al.: Metal-responsive transcription factor-1 (MTF-1) is essential for embryonic liver development and heavy metal detoxification in the adult liver. FASEB J 2004, 18: 1071–1079. 10.1096/fj.03-1282com

  78. 78.

    Masters BA, Kelly EJ, Quaife CJ, Brinster RL, Palmiter RD: Targeted disruption of metallothionein I and II genes increases sensitivity to cadmium. Proc Natl Acad Sci USA 1994, 91: 584–588. 10.1073/pnas.91.2.584

  79. 79.

    Courtade M, Carrera G, Paternain JL, Martel S, Carre PC, Folch J, Pipy B: Metallothionein expression in human lung and its varying levels after lung transplantation. Toulouse Lung Transplantation Group. Chest 1998, 113: 371–378. 10.1378/chest.113.2.371

  80. 80.

    Piedboeuf B, Johnston C, Watkins R, Hudak B, Lazo J, Cherian M, Horowitz S: Increased expression of tissue inhibitor of metalloproteinases (TIMP-I) and metallothionein in murine lungs after hyperoxic exposure. Am J Respir Cell Mol Biol 1994, 10: 123–132.

  81. 81.

    Chubatsu LS, Meneghini R: Metallothionein protects DNA from oxidative damage. Biochem J 1993, 291(Pt 1):193–198.

  82. 82.

    Baird SK, Kurz T, Brunk UT: Metallothionein protects against oxidative stress-induced lysosomal destabilization. Biochem J 2006, 394: 275–283. 10.1042/BJ20051143

  83. 83.

    Kang JL, Moon C, Lee HS, Lee HW, Park EM, Kim HS, Castranova V: Comparison of the biological activity between ultrafine and fine titanium dioxide particles in RAW 264.7 cells associated with oxidative stress. J Toxicol Environ Health A 2008, 71: 478–485. 10.1080/15287390801906675

  84. 84.

    Simon-Deckers A, Gouget B, Mayne-L'hermite M, Herlin-Boime N, Reynaud C, Carriere M: In vitro investigation of oxide nanoparticle and carbon nanotube toxicity and intracellular accumulation in A549 human pneumocytes. Toxicology 2008, 253: 137–146. 10.1016/j.tox.2008.09.007

  85. 85.

    Simon A, Gouget B, Mayne M, Herlin N, Reynaud C, Degrouard J, Carriere M: In vitro investigation of TiO2, Al2O3, Au nanoparticles and mutli-walled carbon nanotubes cyto- and genotoxicity on lung, kidney cells and hepatocytes. Toxicology Letters 2007, 172: S36-S36. 10.1016/j.toxlet.2007.05.124

  86. 86.

    Wick P, Manser P, Limbach LK, Dettlaff-Weglikowska U, Krumeich F, Roth S, Stark WJ, Bruinink A: The degree and kind of agglomeration affect carbon nanotube cytotoxicity. Toxicology Letters 2007, 168: 121–131. 10.1016/j.toxlet.2006.08.019

  87. 87.

    Kagan VE, Bayir H, Shvedova AA: Nanomedicine and nanotoxicology: two sides of the same coin. Nanomedicine 2005, 1: 313–316.

  88. 88.

    Gratton SE, Ropp PA, Pohlhaus PD, Luft JC, Madden VJ, Napier ME, DeSimone JM: The effect of particle design on cellular internalization pathways. Proc Natl Acad Sci USA 2008, 105: 11613–11618. 10.1073/pnas.0801763105

  89. 89.

    Napierska D, Thomassen LC, Rabolli V, Lison D, Gonzalez L, Kirsch-Volders M, Martens JA, Hoet PH: Size-dependent cytotoxicity of monodisperse silica nanoparticles in human endothelial cells. Small 2009, 5: 846–853. 10.1002/smll.200800461

  90. 90.

    Sonavane G, Tomoda K, Makino K: Biodistribution of colloidal gold nanoparticles after intravenous administration: Effect of particle size. Colloids and Surfaces B: Biointerfaces 2008, 66: 274–280. 10.1016/j.colsurfb.2008.07.004

  91. 91.

    Kobayashi N, Naya M, Endoh S, Maru J, Yamamoto K, Nakanishi J: Comparative pulmonary toxicity study of nano-TiO2 particles of different sizes and agglomerations in rats: Different short- and long-term post-instillation results. Toxicology 2009, 264: 110–118. 10.1016/j.tox.2009.08.002

  92. 92.

    Chithrani BD, Ghazani AA, Chan WC: Determining the size and shape dependence of gold nanoparticle uptake into mammalian cells. Nano Lett 2006, 6: 662–668. 10.1021/nl052396o

  93. 93.

    Foged C, Brodin B, Frokjaer S, Sundblad A: Particle size and surface charge affect particle uptake by human dendritic cells in an in vitro model. Int J Pharm 2005, 298: 315–322. 10.1016/j.ijpharm.2005.03.035

  94. 94.

    Cooke MS, Evans MD, Dizdaroglu M, Lunec J: Oxidative DNA damage: mechanisms, mutation, and disease. FASEB J 2003, 17: 1195–1214. 10.1096/fj.02-0752rev

  95. 95.

    Meneghini R: Iron homeostasis, oxidative stress, and DNA damage. Free Radic Biol Med 1997, 23: 783–792. 10.1016/S0891-5849(97)00016-6

  96. 96.

    Brunk UT, Dalen H, Roberg K, Hellquist HB: Photo-oxidative disruption of lysosomal membranes causes apoptosis of cultured human fibroblasts. Free Radic Biol Med 1997, 23: 616–626. 10.1016/S0891-5849(97)00007-5

  97. 97.

    Kagedal K, Zhao M, Svensson I, Brunk UT: Sphingosine-induced apoptosis is dependent on lysosomal proteases. Biochem J 2001, 359: 335–343. 10.1042/0264-6021:3590335

  98. 98.

    Guicciardi ME, Leist M, Gores GJ: Lysosomes in cell death. Oncogene 2004, 23: 2881–2890. 10.1038/sj.onc.1207512

  99. 99.

    Jaattela M: Multiple cell death pathways as regulators of tumour initiation and progression. Oncogene 2004, 23: 2746–2756. 10.1038/sj.onc.1207513

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Acknowledgements

This work was supported by NIH grants RO1 EB007271.

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    Affiliations

    1. Department of Bioengineering, University of Texas at Arlington, Arlington, TX, USA
      • Syed K Sohaebuddin
      • , Paul T Thevenot
      • , David Baker
      •  & Liping Tang
    2. Molecular Targets Program, James Graham Brown Cancer Center, University of Louisville, Louisville, KY, USA
      • John W Eaton
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    Correspondence to Liping Tang.

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    Competing interests

    The authors declare that they have no competing interests.

    Authors' contributions

    SKS carried out the 6, 12, 18 and 24 h MTS assays, ROS, LMP, MMP and Caspase-3/7 assays, nanomaterial uptake studies and AnnexinV/PI staining, participated in protein adsorption studies and in the design of the study, compiled and analyzed the data, performed the statistical analyses and drafted the manuscript. PTT carried out the DLS measurements, protein adsorption studies, 24 h MTS assay, ROS, LMP, MMP and Caspase-3/7 assays, performed statistical analyses and drafted the manuscript. DB cultured and maintained the colonies of the cells, participated in cytotoxicity studies and nanomaterial uptake studies. JWE participated in the design of study and manuscript drafting. LT conceived of the study, and participate in its design and coordination and participated in manuscript drafting. All authors read and approved the final manuscript.

    Syed K Sohaebuddin, Paul T Thevenot contributed equally to this work.

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    Sohaebuddin, S.K., Thevenot, P.T., Baker, D. et al. Nanomaterial cytotoxicity is composition, size, and cell type dependent. Part Fibre Toxicol 7, 22 (2010). https://doi.org/10.1186/1743-8977-7-22

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    Keywords

    • Mitochondrial Membrane Potential
    • Acridine Orange
    • Nanoparticle Uptake
    • Bronchiolar Epithelial Cell
    • Mitochondrial Membrane Potential Loss

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