Next Article in Journal
Carbon Fiber Reinforced Composites: Study of Modification Effect on Weathering-Induced Ageing via Nanoindentation and Deep Learning
Next Article in Special Issue
In Vitro and In Vivo Biocompatibility of Boron/Nitrogen Co-Doped Carbon Nano-Onions
Previous Article in Journal
Silver Nanoparticles and Ionic Silver Separation Using a Cation-Exchange Resin. Variables Affecting Their Separation and Improvements of AgNP Characterization by SP-ICPMS
Previous Article in Special Issue
Combination of Mussel Inspired Method and “Thiol-Michael” Click Reaction for Biocompatible Alginate-Modified Carbon Nanotubes
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Ingested Engineered Nanomaterials Affect the Expression of Mucin Genes—An In Vitro-In Vivo Comparison

Particle Research, IUF—Leibniz Research Institute for Environmental Medicine, 40225 Düsseldorf, Germany
*
Author to whom correspondence should be addressed.
Current address: State Office for Consumer Protection Saxony-Anhalt, 39576 Stendal, Germany.
Nanomaterials 2021, 11(10), 2621; https://doi.org/10.3390/nano11102621
Submission received: 31 August 2021 / Revised: 29 September 2021 / Accepted: 30 September 2021 / Published: 6 October 2021
(This article belongs to the Special Issue Advances in Toxicity of Nanoparticles)

Abstract

:
The increasing use of engineered nanomaterials (ENM) in food has fueled the development of intestinal in vitro models for toxicity testing. However, ENM effects on intestinal mucus have barely been addressed, although its crucial role for intestinal health is evident. We investigated the effects of ENM on mucin expression and aimed to evaluate the suitability of four in vitro models of increasing complexity compared to a mouse model exposed through feed pellets. We assessed the gene expression of the mucins MUC1, MUC2, MUC5AC, MUC13 and MUC20 and the chemokine interleukin-8 in pre-confluent and confluent HT29-MTX-E12 cells, in stable and inflamed triple cultures of Caco-2, HT29-MTX-E12 and THP-1 cells, and in the ileum of mice following exposure to TiO2, Ag, CeO2 or SiO2. All ENM had shared and specific effects. CeO2 downregulated MUC1 in confluent E12 cells and in mice. Ag induced downregulation of Muc2 in mice. Overall, the in vivo data were consistent with the findings in the stable triple cultures and the confluent HT29-MTX-E12 cells but not in pre-confluent cells, indicating the higher relevance of advanced models for hazard assessment. The effects on MUC1 and MUC2 suggest that specific ENM may lead to an elevated susceptibility towards intestinal infections and inflammations.

1. Introduction

Within the last decades, the utilization of engineered nanomaterials (ENM) in food products and food packaging has increased dramatically [1]. As a food additive, TiO2 (European food additive code E171), which typically contains up to 50% nanoparticles, is used as a whitener and UV absorbent [2,3,4], whereas Ag (E174) is particularly used for its antimicrobial properties [2,5,6,7], and amorphous SiO2 (E551) is utilized as an anti-caking agent and to stabilize oil-water emulsions [2,8]. In addition to the intentional supplementation, ENM can enter the food chain as contaminants, as has been shown for CeO2 [9,10,11,12].
Hence, humans are increasingly orally exposed to ENM, which has raised safety concerns [13,14]. In the context of ENM safety evaluation, many authors highlighted the importance to account for the intestinal mucus barrier [15,16,17,18]. On the one hand, the interaction of mucus with ENM, such as the entrapping and the formation of a corona, have been extensively researched both in vitro and in vivo [19,20,21,22]. On the other hand, however, effects on the mucus barrier itself, especially on the expression of mucin genes, have received surprisingly little attention. So far, only a few studies have pointed out altered expression levels and differences in mucus compositions following ENM exposure [23,24,25,26,27]. Potential deleterious effects of ingested ENM on the expression and secretion of mucins are of high concern since the functionality of the mucus barrier is crucial for intestinal health. An impairment of the mucus barrier’s capacity to segregate the luminal content from the intestinal epithelium can lead to the continuous induction of inflammatory processes and has been demonstrated in subjects with inflammatory bowel diseases [28,29,30].
Two different types of mucins build the mucus barrier: secreted mucins derived from goblet cells and transmembrane mucins that are also produced by enterocytes [31,32,33]. In the healthy intestine, the secreted mucin (MUC)2 and the transmembrane mucins MUC3, MUC12, MUC13 and MUC17 are the most prominent [34]. In the course of intestinal inflammatory diseases, particularly the predominant gastric mucins MUC1 and MUC5AC, but also other mucins such as MUC20 were described to be differentially expressed [34,35,36]. The importance of the constitutive expression of mucins has been highlighted by mouse models deficient of MUC1, MUC2, and MUC13, revealing elevated susceptibilities towards intestinal infections, inflammations and spontaneous tumors [37,38,39,40,41,42].
The safety concerns of ENM, in combination with the endeavor to replace animal testing, strongly accelerated the development of advanced in vitro models to investigate intestinal toxicity [43]. Most-commonly, the cell lines Caco-2 and HT29-MTX are used. When grown at confluence, they differentiate into physiologically relevant enterocyte- and goblet-like cell types, respectively [44,45,46]. In a next step, researchers combined both cell lines in order to obtain an enterocyte model covered with a mucus layer [17,43,47,48,49]. Moreover, other cell lines such as differentiated THP-1 cells and RajiB cells have been incorporated to account for macrophages or to induce a microfold (M)-cell like transformation in Caco-2 cells, respectively [17]. To our knowledge, an in vitro to in vivo comparison of ENM effects using the same ENM in in vitro and in vivo models, as presented in this study, has yet to be performed.
The first aim of this study was to assess whether four well-investigated model ENM have specific, potentially hazardous effects on the intestinal expression of the mucins MUC1, MUC2, MUC5AC, MUC13 and MUC20. In view of the importance of inflammation in gut homeostasis and the well-described inflammatory effects of specific ENM we concurrently evaluated the expression of the proinflammatory cytokine interleukin (IL)-8 and its murine equivalent homologs macrophage inflammatory protein (Mip)-2 and keratinocyte-derived chemokine (Kc). We observed trends of effects that all investigated ENM had in common as well as ENM specific effects on the mucus profile that may pose a hazard to human health. A complementary goal of our study was to ascertain whether in vitro models of increased complexity can mirror the in vivo effects of ENM on the expression of the abovementioned mucins and whether the induction of an inflamed-like condition may influence ENM effects in vitro. Growth at confluence particularly improved the suitability of in vitro models. The inflamed-like state came along with a changed mucin profile but not with an increased susceptibility towards the ENM.

2. Materials and Methods

2.1. Murine Ileal Samples

Murine ileal samples were obtained from two independent feeding studies with C57BL/6J mice, as we previously described in detail [50]. These studies were performed with the same batches of the ENM (i.e., TiO2 P25, Ag-PVP, CeO2, and SiO2) as those that were used for the in vitro tests. The studies were approved by the Landesamt für Natur, Umwelt und Verbraucherschutz (LANUV, NRW, Germany) with the reference numbers 84-02.04.2017.A338 and 84-02.04.2013.A443. Briefly, in one study female and male animals were fed with feed pellets containing TiO2 (1% w/w) and Ag (0.2% w/w) ad libitum for 28 days. In the other study, female animals were fed with feed pellets containing CeO2 and SiO2 (both at 1% w/w) ad libitum for 21 days. The animals were sacrificed on the last day of exposure and ileal tissues were obtained by dissection and subsequently snap frozen in liquid nitrogen and stored at −80 °C until analysis.

2.2. Chemicals and Reagents

Minimum Essential Medium (MEM), Dulbecco’s Modified Eagle Medium (DMEM), RPMI-1640 medium, 2-mercaptoethanol (ME), fetal calf serum (FCS) for THP-1 cells, sodium pyruvate, phosphate buffered saline (PBS) and Prolong Gold Antifade Reagent were purchased from Thermo Fisher Scientific. FCS for Caco-2 and HT29-MTX-E12 cells, Penicillin/Streptomycin (P/S), L-glutamine, non-essential amino acids (NEAA), D-glucose, trypsin, phorbol 12-myristate 13-acetate (PMA), interferon gamma (IFN-γ), lipopolysaccharides (LPS), accutase, the Cell Proliferation Reagent WST-1, acetic acid, Alcian blue (1% in 3% acetic acid), periodic acid, Schiff’s reagent, sodium meta bisulfite, the Roche High Pure RNA Tissue Kit and the amplification grade DNase I Kit were purchased from Sigma-Aldrich/Merck. Ethanol was purchased from Roth. Nuclease free water was purchased from Qiagen. The iScriptTM cDNA Synthesis Kit and the iQTM SYBR® Green Supermix were purchased from Bio-Rad. Primers for qPCR were purchased from Eurofins.

2.3. Engineered Nanomaterials

The same batches of TiO2 P25, polyvinylpyrrolidone-coated Ag (Ag-PVP), CeO2 and fumed SiO2 ENM as described previously [50] were used and the formerly reported characteristics are presented in Table S1. For the use in experiments, ENM were suspended in sterile, deionized water (dH2O) to a concentration of 3.57 or 4.00 mg/mL. The suspensions as well as dH2O not containing ENM were sonicated for 10 min using a Branson Sonifier 450 at a duty cycle of 0.2 s and an output of 240 W.

2.4. Sedimentation of Engineered Nanomaterials

The delivered ENM doses in E12 cell monoculture experiments, performed in 6-well plates, were estimated using the In Vitro Diffusion and Dosimetry model (ISDD) [51]. The input parameters described in Kämpfer et al. [52] were applied and, where necessary, adapted to the 6-well format and complemented for CeO2 and SiO2. The effective agglomerate diameters of CeO2 and SiO2 were measured as described in Kämpfer et al. [52]. Briefly, ENM were suspended in exposure medium to 150 µg/mL and the Z-average and polydispersity index (PDI) were measured using a Zetasizer NanoZS (Malvern Pananalytics, Malvern, UK).

2.5. Cell Culture

Caco-2 (DSMZ, ACC169) cells were cultured in MEM (containing NEAA) substituted with 20% FCS, 1% P/S and 1% L-glutamine. HT29-MTX-E12 (ECACC through Sigma, 12040401) cells (hereinafter ‘E12 cells’), were maintained in DMEM (containing L-glutamine) substituted with 10% FCS, 1% P/S and 1% NEAA. Cells of both cell lines were regularly subcultured upon reaching about 80% confluence every three to four days. For experiments, Caco-2 and E12 cells were used between passages 3 and 30. THP-1 (ATCC, TIB-202) cells were cultured in RPMI 1640 medium (containing L-glutamine and 25 mM HEPES) substituted with 10% FCS, 1% P/S, 1 mM sodium pyruvate, 0.7% D-glucose and 50 nM ME. THP-1 cells were maintained at densities between 2*105 and 8*105 cells/mL. For experiments, THP-1 cells were used at passages 5–15 after thawing.
Experiments on E12 cell monocultures were performed two days, 11 days or 22 days post-seeding. The seeding density specified in Table 1 was used regardless of the culture period. After 4–5 days, 100% confluence was reached. Cells grown for two days will be termed ‘pre-confluent’. To obtain confluent cultures, E12 cells were maintained for 11 days or 22 days as indicated. The medium was changed three times per week. The medium was replaced with exposure medium, DMEM substituted with 1% FCS, 1% P/S and 1% NEAA, 16–20 h before exposure.
The exposure of E12 cells was performed in 6-well plates for mucus visualization and gene expression analysis and in 96-well plates for cytotoxicity assessment. The cell numbers and volumes of medium were adjusted to the size of the well surfaces so that equal exposure concentrations in μg/mL and μg/cm2 were obtained for both plate formats (Table 1).
The triple cultures in stable/healthy and inflamed state were prepared as described by Kämpfer et al. [52]. Briefly, 1.8*105 Caco-2 and E12 cells per cm2 were seeded on 12-well transwell inserts (Falcon, 353103) at a ratio of 9:1 and cultivated for 21 days. On day 21, THP-1 cells were differentiated with 100 nM PMA for 24 h. The epithelial cells on the transwell inserts were basolaterally primed with 10 ng/mL IFN-γ for 24 h for the inflamed triple culture. On day 22, the differentiated THP-1 cells were detached, seeded into 12-well plates at a 1.8*105 cells per well. At the same time, re-attached THP-1 cells were activated with 10 ng/mL LPS and IFN-γ for 4 h for the inflamed triple cultures. Subsequently, stable and inflamed triple cultures were started in parallel by transferring transwell inserts to the corresponding THP-1 containing wells. After incubation for 24 h, cells were exposed to particles for 24 h.

2.6. Exposure Procedure

Particle suspensions were diluted in exposure medium to concentrations between 0 and 256 µg/mL, corresponding to doses between 0 and 80 µg/cm2. DMEM and MEM containing 1% FCS were used as exposure medium for E12 cell monocultures and the triple cultures, respectively. For negative controls and lower exposure concentrations, the added amount of sonicated dH2O was adjusted to correspond to the highest exposure concentration. E12 cell monocultures were exposure to the ENM suspensions for 4 h and 24 h, triple cultures were exposed for 24 h.

2.7. WST-1 Cytotoxicity Assay

In E12 cell monocultures, the cell viability was assessed via WST-1 assay after 24 h exposure to 0, 10, 20, 40, and 80 µg ENM/cm2. The assay was performed as described by Kolling et al. [53] and based on the nanOxiMet project’s SOP “Cellular viability—WST-1 assay” (https://nanopartikel.info/data/projekte/nanOxiMet/SOP/nanOxiMet_SOP_WST-1-assay_V2.pdf, accessed on 23 August 2021). WST-1 reagent was added to the cells at a dilution of 1:5 in exposure medium and the absorbance at 450 nm and 630 nm was measured after incubation for 1 h.

2.8. Alcian Blue Staining and Periodic Acid-Schiff Reaction

In order to visualize and localize the acidic and neutral mucus, produced by E12 cells, Alcian blue staining and periodic acid-Schiff (PAS) reaction were performed, respectively, as described in Kämpfer et al. [52]. Briefly, paraformaldehyde-fixed samples were pre-incubated with 3% acetic acid for 3 min and stained with 1% Alcian blue solution in 3% acetic acid for 30 min. Subsequently, washed samples were incubated with 1% periodic acid in dH2O for 10 min and with Schiff’s reagent for 15 min, protected from light. The samples were washed three times with sulphite water, once with dH2O, mounted with Prolong Gold Antifade reagent and analyzed by light microscopy.

2.9. Gene Expression Analysis

The expression of MUC1, MUC2, MUC5AC, MUC13 and MUC20 in E12 monocultures and triple cultures, as well as of Muc1, Muc2, Muc5AC, Muc13 and Muc20 in murine ileal tissue was assessed. In addition, IL-8 and the murine homologs Mip-2 and Kc were assessed, respectively. To prepare the RNA isolation, E12 cell monocultures were washed with ice-cold PBS twice, detached with a cell scraper, collected, centrifuged at 4 °C and 300× g for 5 min and resuspended in PBS. To prepare the RNA isolation from triple cultures, cells were detached from filters with trypsin for 10 min, trypsin reaction was blocked with ice-cold MEM containing 20% FCS and cells were collected. The cells were washed by two repetitions of centrifuging at 4 °C and 300× g for 5 min, discarding the supernatant, and resuspending the cell pellet in PBS. Subsequently, RNA from E12 cells and from triple cultures was isolated using the Roche High Pure RNA Tissue Kit. Briefly, cells were lysed, RNA was bound to silica membrane spin columns, treated with DNase I, washed with high-salt concentration wash buffers containing ethanol, and eluted in PCR grade water.
RNA from murine ileum was isolated as described in Kämpfer et al. [52]. Briefly, tissues were homogenized in Lysis Buffer using a Tissue Homogenizer II (Qiagen, Hilden, Germany) and ethanol was added to the lysates. The RNA was bound to silica membrane spin columns, treated with DNase I, washed with high-salt concentration wash buffers containing ethanol, and eluted in PCR grade water.
For in vitro and in vivo samples, RNA quantification, a second DNase I digestion step, reverse transcription, and quantitative PCR (qPCR) were performed as described in Kämpfer et al. [52]. Briefly, the RNA concentration was determined by measuring the optical density at 260 and 280 nm. The samples were treated with amplification grade DNase I. Two replicates of 0.5 µg RNA were reversely transcribed using the iScriptTM cDNA synthesis kit. A no reverse transcriptase control (nRTc) with one replicate of 0.5 µg RNA was performed in parallel to control for residual DNA. The duplicate cDNA samples were pooled. The cDNA and nRTc were diluted in nuclease free water by factor 15. When less RNA was available, the amount of RNA and the dilution factor were decreased proportionally. The iQTM SYBR® Green Supermix was used for qPCR reactions. For in vitro samples, the human primers listed in Table S2 were used and β-Actin was analyzed as the reference gene. For in vivo samples, the murine primers listed in Table S3 were used and Rplp0 was analyzed as reference gene. qPCR reactions were performed and melt curves generated in triplicate for cDNAs and in one replicate for nRTcs using a MyiQTM Single-Color Real-Time PCR Detection System (Bio-Rad, Hercules, FL, USA). CT values were determined using the Bio-Rad iQ5 software (v2.1). ENM exposure dependent changes in the gene expression were calculated using the ΔΔCT method [54].

2.10. Statistical Analysis

ΔΔCT values, fold changes, mean values and standard deviations (SD) or standard errors of the mean (SEM) were calculated with Microsoft Excel from the results of at least three independent experiments. For the gene expression analyses, ΔΔCT values were used for the statistical analysis and in order to calculate mean values and SD or SEM, which were then converted into fold changes. The results were visualized using GraphPad Prism Version 9, showing mean ± SD for in vitro data and mean ± SEM for in vivo data. Statistical tests were calculated with GraphPad Prism Version 9 or R Version 4. An ANOVA with Dunnett’s post-hoc test was applied for the analyses of cytotoxicity and of the gene expression in triple cultures. In all other cases t-tests were performed. A p-value of <0.05 was considered statistically significant.

3. Results

3.1. ENM Characterization and Sedimentation

The hydrodynamic agglomerate diameters of CeO2 and SiO2 in E12 cell exposure medium were measured by DLS (Table 2). For TiO2 and Ag, these data were published previously [52]. For all four ENM the mean agglomerate diameters were in the range between 260 nm and 330 nm.
These results were used as inputs for the ISDD model to simulate the sedimentation of the ENM in E12 cell monoculture experiments (Figure 1a). The modelling results indicated two ENM with a relatively slow sedimentation, TiO2 and SiO2, whereas Ag and CeO2 both sedimented rather rapidly. Interestingly, SiO2 showed substantially higher values concerning the surface area and number of sedimented particles than the other ENM (Figure 1b,c). After 4 h the number of sedimented SiO2 particles was factor 15–66 and after 24 h factor 12–33 higher than of the other ENM.

3.2. Characterisation of the In Vitro Models

The mucus production of the E12 cell models as well as the constitutive expression of IL-8 and mucins was evaluated in all four in vitro models. Growth of E12 cells at confluence was accompanied by the increased production of acidic and neutral mucus. Confluence also came along with elevated constitutive expression levels of all investigated mucin genes. In stable triple cultures, all investigated mucin genes were lower in expression than in confluent E12 cells. The inflammatory state of triple cultures was associated with increased expression levels of IL-8 and particularly of MUC1.

3.2.1. Mucus Production

The secretion and distribution of mucus in pre-confluent and confluent E12 cells was examined by Alcian blue staining and PAS reaction. Representative images of E12 cells grown for two days, 11 days, and 22 days are shown in Figure 2.
For pre-confluent E12 cells, no blue dye indicative of acidic mucus was present, while all cells exhibited a weak pink color (Figure 2a). For confluent E12 cells grown for 11 days post-seeding, blue spots of acidic mucus were observed (Figure 2b), which increased to a coverage of around 50% of the cell layer after 22 days (Figure 2c). On all confluent cells not covered by acidic mucus, a strong pink color was observed that pointed towards the presence of significant amounts of neutral mucus. Based on these results, it was inferred that the differentiation process of E12 cells triggered by confluence was not completed at 11 days post-seeding. Therefore, cells grown for 22 days post-seeding were used in the following experiments. The term ‘confluent E12 cells’ from here on refers to E12 cells grown 22 days post-seeding.

3.2.2. Gene Expression Profile

To further characterize the in vitro models, the constitutive gene expression of the five mucins and IL-8 was qualitatively assessed. The measured absolute CT-values of untreated cells were used as a rough estimate of the constitutive gene expression in pre-confluent and confluent E12 cells as well as in stable and inflamed triple cultures (Table S4). In each of the in vitro models, the constitutive expression of all investigated genes was above the limit of detection (CT-value 40); only in two of six experiments with stable triple cultures, MUC1 could not be detected. Apart from few exceptions, in all models the constitutive expression of IL-8, MUC1 and MUC2 was low and the expression of MUC5AC, MUC13 and MUC20 was high or very high. Remarkably, MUC2 was highly expressed in confluent E12 cells. In the inflamed triple culture, both IL-8 and MUC1 were expressed at a high level.
The CT values of the unexposed controls of each in vitro model were compared to those of the next complex model in order to roughly evaluate differences in the expression of mucins and IL-8 (Figure 3). The gene expression of all investigated mucins was upregulated in confluent E12 cells in a range of fold changes between 1.7 and 27.5 for MUC1 and MUC20, respectively (Figure 3a). The gene expression of IL-8, however, was downregulated. In comparison to the confluent E12 cells, the expression of all mucin genes was lower in the stable triple culture while there was no difference in IL-8 expression (Figure 3b). The most striking difference between the stable and inflamed triple culture was the more than hundred-fold higher expression of MUC1 in inflamed conditions (Figure 3c). MUC2 and MUC5AC were slightly higher and MUC13 and MUC20 slightly lower expressed in the inflamed triple culture. As anticipated, also the expression of IL-8 was remarkably increased under inflamed conditions.

3.3. Effects of ENM on E12 Cells

3.3.1. Cytotoxicity

To select a non-cytotoxic ENM concentration for further investigation, the WST-1 assay was performed. The relative viabilities of pre-confluent E12 cells exposed to TiO2, Ag, CeO2, and SiO2 are presented in Figure 4.
For all investigated ENM the viability was not significantly reduced up to the highest assessed concentration of 80 µg/cm2. Thus, for the following experiments 80 µg/cm2 was selected as the non-cytotoxic exposure concentration. This was also applied to confluent E12 cells as confluence was reported to be associated with lower susceptibility to cytotoxic effects [55,56,57].

3.3.2. Gene Expression of IL-8 and Mucins in E12 Cell Monocultures

Pre-confluent and confluent E12 cells were exposed to ENM for 4 h and 24 h and the gene expression was assessed by qRT-PCR (Figure 5). ENM effects were stronger and of a different nature, comparing pre-confluent to confluent E12 cells. While in pre-confluent E12 cells significant ENM induced upregulations occurred, we solely observed downregulations in confluent E12 that were relatively weak with a maximum foldchange of 0.65 in MUC5AC expression following Ag exposure. Trends that all ENM had in common as well as effects that were ENM specific were observed. The trends ENM had in common were the upregulation of IL-8 and the downregulation of MUC2 in pre-confluent E12 cells exposed for 24 h. The extent and ENM specificities of effects on MUC13 and MUC20 in pre-confluent E12 cells were highly similar to each other. In confluent E12 cells exposed for 24 h, MUC1 was specifically downregulated by CeO2.
After 4 h of exposure, Ag and SiO2 upregulated IL-8. Although all ENM upregulated the expression of IL-8 in pre-confluent E12 cells after 24 h exposure, remarkable differences in the strength of the effects were observed between the ENM (Figure 5a,b). While SiO2 exposure induced a 5.6-fold upregulation, the impact of TiO2 was weak and not statistically significant. In strong contrast, none of the ENM had an effect on the IL-8 expression in confluent E12 cells.
Significant effects on the expression of MUC1 were only seen in confluent E12 cells. At the 24 h timepoint, the MUC1 expression was specifically downregulated 1.3-fold by CeO2 exposure.
As there was a trend to upregulate IL-8 in 24 h exposed pre-confluent cells, there also was a trend of all investigated ENM to downregulate MUC2 (Figure 5c). The effect only reached significance for CeO2. The trend was also observed in confluent E12 cells, though weaker and with the exception of SiO2.
The effects on the gene expressions of MUC13 and MUC20 in pre-confluent E12 cells were similar to each other (Figure 5d,e). The expression of both MUC13 and MUC20 was increased after exposure to CeO2 and to a higher extent after exposure to SiO2. With the exception of the CeO2 effect on MUC13, these effects were observed after exposure for 24 h but not after 4 h. In response to Ag, no effect was observed on the expression of both genes. TiO2 caused a marginal but significant downregulation of MUC13 after 4 h. In contrast to pre-confluent E12 cells, no congruent effects on the expression of MUC13 and MUC20 were detected in confluent E12 cells.

3.4. Effects of ENM on Stable and Inflamed Triple Cultures

With Ag and SiO2, we continued to test their effects on the more complex and more work-intensive stable and inflamed intestinal in vitro triple culture models.
The exposure of both triple culture models to Ag did not have an effect on any of the investigated genes (Figure 6a,b). Because of expression levels below the limit of detection, the MUC1 expression could not be assessed in stable cultures exposed to Ag. The MUC5AC data for the Ag exposed inflamed culture are absent as the DNA contamination analysis did not meet the reliability criteria for all three independent experiments. In stable triple cultures, SiO2 exposure caused upregulations of IL-8, MUC1 and MUC2 by a maximum of two-fold. No differences between low and high dose effects were observed; for the lower dose of 10 µg/cm2 SiO2, the increase in IL-8 did not reach statistical significance. SiO2 did not have an effect on the expression of any of the other investigated genes in the stable triple culture and on none of the analyzed genes in the inflamed triple culture.

3.5. Gene Expression in the Ileum of Mice upon ENM Exposure

The constitutive gene expression of the mucin genes as well as of the murine IL-8 homologs macrophage inflammatory protein (Mip)-2 and keratinocyte-derived chemokine (Kc) expression was classified in vivo. Except for Muc5AC, the constitutive expression of all investigated genes was above the limit of detection (Table S5). Muc2 and Muc13 were highly expressed. The expression of all other investigated genes was low. Since Muc5AC could not be detected in the majority of measurements, effects of ENM on its expression were not assessed.
Mice were exposed to TiO2 and Ag for 28 days and to CeO2 and SiO2 for 21 days. The effects on the gene expression in the ileal tissues are summarized in Figure 7. The effects of TiO2 and Ag on Mip-2 and Kc have been published earlier [52] and are shown in Figure S1.
No significant effects on the expression of any of the investigated genes was observed after exposure to TiO2 (Figure 7a). Upon exposure to Ag, the gene expression of Muc2 was significantly downregulated by fold change 0.81 (Figure 7b). The exposure of mice to CeO2 caused a significant two-fold downregulation of Muc1 (Figure 7c). SiO2 exposure did not lead to a change in the expression of any of the investigated genes (Figure 7d).

4. Discussion

We assessed the impact of well-investigated model ENM on the gene expression of five mucins along with the chemokine IL-8 or its murine homologs in four in vitro models of different complexity and in mice. For pre-confluent and confluent E12 cells, the ENM concentration of 80 µg/cm2 was selected as no cytotoxicity was observed. In accordance with the dose in the E12 cell experiments and with our previous investigations, 10 and 80 µg/cm2 were used in the triple culture models [52]. As elucidated earlier [50], for the exposure of mice, ENM were incorporated into feed pellets to facilitate a realistic oral exposure scenario. The in vivo doses of TiO2, CeO2 and SiO2 of 1.0% were chosen to match the maximum permitted level of TiO2 in food defined by the United States Food and Drug Administration [58], whereas for Ag a lower dose of 0.2% was selected because of its higher oral toxicity [59,60,61]. It needs to be pointed out that we did not test food additives but four of the most-investigated model ENM in order to facilitate the comparability to other studies.
The individual mucins were investigated for different reasons: MUC2—the main secreted mucin—and MUC13—the main transmembrane mucins—are essential for the integrity of the intestinal mucus barrier; a distortion of their expression increases the susceptibility to develop intestinal inflammations [34,42,62,63]. The gastric mucins MUC1 and MUC5AC have been shown to differ in expression in case of an intestinal inflammation [34]. While MUC5AC is considered protective, alterations in the MUC1 expression in both directions have been associated with intestinal infections and inflammation [37,38,39,64,65,66]. The transmembrane mucin MUC20 was reported to be upregulated in the course of an intestinal infection or inflammation [35,36]. IL-8 was evaluated since it is a main messenger molecule of intestinal epithelial cells and is associated with the grade of inflammation in inflammatory bowel disease (IBD) [67,68].
In addition to 24 h ENM exposure, we also assessed the 4 h timepoint in order to cover potentially strong transient responses to ENM exposure in E12 cells. However, we merely found very weak transient effects of unknown biological relevance. Therefore, the discussion of the in vitro data is focused on the effects after 24 h of exposure.

4.1. ENM and Model Dependent Effects on IL-8 Expression

While for all investigated ENM the same trends on the expression of IL-8 and MUC2 were observed in pre-confluent and confluent E12 cells, the extent of the effects differed between the models and particularly between the ENM. In pre-confluent E12 cells, Ag caused a stronger upregulation of IL-8 than TiO2. This is in concordance with our previous finding that Ag but not TiO2 increased the IL-8 secretion from pre-confluent E12 cells and pre-confluent Caco-2 cells [52]. The strikingly greater effects of SiO2 in the in vitro models might be explained by the manifold higher number of sedimented SiO2 particles and the associated higher surface area of sedimented particles compared to the other ENM [69,70].
In strong contrast to the pre-confluent E12 cells, none of the ENM affected the IL-8 expression in confluent E12 cells, which agrees with studies on Caco-2 cells: Susewind et al. exposed confluent Caco-2 cells to Ag [71]. For concentrations up to 625 μg/cm2 they reported an absence of effects on the expression and secretion of IL-8. Furthermore, Gerloff et al. reported an upregulation of the IL-8 expression in pre-confluent, but not in confluent Caco-2 cells exposed to 20 μg/cm2 SiO2 for 4 h [57].
Mirroring the SiO2 induced upregulation of IL-8 we observed in the stable triple culture, Ude et al. demonstrated the secretion of IL-8 from Caco-2/E12 cell co-culture exposed to 15.63 μg/cm2 SiO2 for 24 h [72]. In contrast, Ag exposure did not increase the IL-8 gene expression in both triple culture models, which aligns with previous findings on the absence of an Ag induced IL-8 secretion from these models [52].

4.2. ENM and Model Dependent Effects on MUC2 Expression

There was a trend of all investigated ENM to downregulate the MUC2 expression. Though weaker, this trend persisted in confluent E12 cells exposed to TiO2, Ag, and CeO2. On the contrary, in the stable triple culture and in mice, the effects on MUC2 were ENM specific. As for IL-8, SiO2 but not Ag upregulated MUC2 in the stable triple culture. In mice, only Ag significantly downregulated the expression of Muc2. While Jeong et al. observed decreased replenishment of mucus in ileal goblet cells that was in line with our results, Williams et al. stated that Ag did not influence the ileal Muc2 expression in rats [73,74].
Previously we demonstrated an increased abundance of the short chain fatty acid (SCFA) producing microbial genus Roseburia in the Ag exposed female mice [50]. Accordingly, increased intestinal SCFA levels could have contributed to the currently observed downregulation of Muc2. Indeed, changing concentrations of propionate and butyrate have been demonstrated to influence Muc2 expression [75,76,77,78]. However, Seo et al. associated treatment with Roseburia to a rescuing effect on the expression levels of Muc2 following exposure of mice and gut organoids to ethanol [79]. This also highlights the inconclusive implications of the microbiome and its metabolites for intestinal toxicity, rendering it a factor worth assessing and controlling in vitro, e.g., by cultivating cells in the presence of microbial metabolites such as SCFAs [17].
Especially in the context of the above discussed effects on IL-8 and the dependence of the mucus barrier integrity on MUC2, the ENM induced downregulations of MUC2 imply the hazard of an inflammation [80,81]. In addition, Muc2 deficiency has been connected to an aberrant inflammatory response including increased Il-8 release and to changes of metabolic pathways with an associated formation of preneoplastic lesions [82,83]. Muc2 deficient mice are more prone to ileal infections and develop spontaneous ileal tumors [40,41]. Hence, an ENM induced Muc2 downregulation might increase the susceptibility for such adverse outcomes. However, the constitutive Muc2 expression in vivo was high and the extent of the observed downregulations did not bring the expression levels close to a deficiency. Moreover, a downregulation of Muc2 gene expression does not necessarily go along with decreased protein secretion levels [84].

4.3. ENM Specific and Potentially Hazardous Effects on MUC1 and MUC13

Any change in the gene expression of MUC1 must be examined carefully as its balance seems to be essential for cell homeostasis: An overexpression of MUC1 has been linked to the development of colorectal cancer and an acceleration of intestinal inflammatory processes [65,66], whereas Muc1 deficiency was connected to an increased susceptibility to the invasion of the intestinal epithelium by pathogens [37,38,39]. Therefore, the significant downregulation of MUC1 in confluent E12 cells and in mice following CeO2 exposure in combination with the low constitutive level of Muc1 expression may give cause for concern. The same applies to the upregulation of MUC1 in the SiO2 exposed stable triple culture, especially as it is paralleled by the upregulation of IL-8 and MUC2: Increased mucus levels have the potential to amplify the secretion of IL-8, to promote the recruitment of neutrophils and, therefore, the development of inflammatory processes [85].
In pre-confluent E12 cells, exposure to CeO2 and SiO2 caused upregulation of MUC13. According to Sheng et al., an upregulation of MUC13 was described in Ulcerative Colitis patients though no causative relation was reported [34]. Moreover, they stated that the secretion of the murine IL-8 homolog Mip-2α by Tnfα was lower in the intestine of Muc13 deficient mice [63]. However, they also described that Muc13 deficiency in mice aggravates dextran sulfate sodium-induced colitis, attributing a protective function to Muc13 [42]. Considering this potential protective function of Muc13, it is not possible to estimate if an upregulation would lead to an adverse outcome.
For SiO2 and CeO2 exposed pre-confluent E12 cells, the upregulation of MUC13 coincided with the upregulation of MUC20. Like MUC13, MUC20 is upregulated in the intestinal tissue of IBD patients [34,36]. In addition, Cairns et al. reported the concomitant upregulation of MUC13 and MUC20 upon infection of E12 cells with Helicobacter pylori, indicating a potential mechanistic connection between these two genes [35].
Multiple mechanisms have been connected to the regulation of the expression of mucins, out of which ENM induced oxidative stress may be particularly relevant for the present effects [86,87,88,89]. Furthermore, the NFκB signaling pathway that has been shown to influence MUC1 expression and also plays and important role for the expression of IL-8 may be involved [39]. Whether or not cellular uptake of ENM uptake is of importance for these mechanisms and for the resulting effects on the mucin expression should be investigated in future projects, especially because changes in the mucus profile can in turn influence the ENM uptake [90].
Altogether, the moderate ENM effects in the advanced models do not indicate strong toxicity. Yet, further research is required to clarify whether the alterations of MUC1, MUC2 and MUC13 expression are physiologically relevant for the susceptibility towards intestinal infections and inflammations. Moreover, future studies will need to address the effects of prolonged ENM exposure.

4.4. Model Comparisons

A particular advantage of our study design has been that the same batches of ENM were tested in vitro and in a physiological exposure situation in mice, which enables more direct comparisons. In addition to pre-confluent and confluent E12 cells in monoculture, we evaluated ENM effects on triple cultures of Caco-2, E12 and differentiated THP-1 cells, both in stable and inflamed states. Co-cultures including Caco-2 and HT29-MTX(-E12) cells are frequently used as in vitro models of the mucus-covered intestinal epithelium for toxicity testing [17,27,52,72,91]. Yet, little research is available on the response of HT29-MTX(-E12) cells to ENM exposure.

4.4.1. Comparison of In Vitro Models

Comparing pre-confluent to confluent E12 cells, strong differences in ENM effects were seen. No upregulation was found in confluent E12 cells. The downregulatory effects we observed were relatively weak. The strongest effects in pre-confluent E12 cells were induced by SiO2 exposure, which were all absent in confluent E12 cells. As mentioned above, for Caco-2 cells decreasing susceptibilities towards ENM effects have been associated with confluence [57,92]. A possible reason for the higher resistance of confluent cells in general may be stronger cell-cell contacts [93]. Concerning HT29-MTX(-E12) cells, an explanation may be the increasing levels of mucus production and secretion accompanying confluence which have also been reported by others [45,94]. Notably, Reuter et al. were able to confirm the protective function of confluent E12 cells’ mucus layer towards the bacterial toxin colibactin [95].
Confluent E12 cells revealed higher expression levels of each investigated mucin compared to the stable triple culture model. This underlines the role of E12 cells as goblet-cell model whereas the triple culture model mimics an epithelial layer consisting mainly of enterocytes. In contrast to the downregulations in confluent E12 cells, we only found upregulations in the stable triple culture model. Whether this difference is related to the presence of Caco-2 cells (~90%), which may react unlike E12 cells, or a changed behavior of E12 cells in the presence of Caco-2 cells remains unknown.
The most outstanding difference between the inflamed and the stable triple culture model was the strongly increased expression of MUC1. Moreover, we observed moderate decreases in the expression of MUC2 and MUC5AC under inflamed conditions. These findings agree with studies on IBD patients and mice with an artificially induced colitis [34,96,97,98]. Contrasting our results, IBD has formerly been associated with higher expression levels of MUC5AC [34,98].
Without an inflamed mouse model, the inflamed triple culture cannot be directly compared to the in vivo data. Still, the absence of effects in the inflamed triple culture suggests no increased susceptibility towards the here tested ENM in the course of inflammatory processes.

4.4.2. Suitability of the In Vitro Models in Comparison to the In Vivo Data

In ENM fed mice, we observed two significant effects on the expression of the investigated genes: the downregulation of Muc1 upon CeO2 exposure and the downregulation of Muc2 upon Ag exposure. The specific effect of CeO2 on MUC1 could also be found in confluent E12 cells, and thus supports the relevance of this model for in vitro nanosafety research. In addition, having a high constitutive expression of MUC2 and MUC13 of the investigated in vitro models confluent E12 cells best represented the constitutive gene expression in vivo.
Nevertheless, it makes sense to not consider the goblet-like E12 cells in isolation but rather in combination with Caco-2 cells as a model for enterocytes. As presented and discussed earlier by Kämpfer et al. [52], the mucus production and secretion patterns of the stable triple culture closely resembled that of the small intestinal epithelium of a healthy mouse.
Overall, effects were relatively strong in pre-confluent E12 cells and almost absent in the more advanced models. The pre-confluent cells might overestimate ENM effects compared to the in vivo situation. These observations correspond to our former findings that Ag caused pro-inflammatory effects in pre-confluent Caco-2 and E12 cells while the stable triple culture model was predictive of the absence of those effects in vivo [52].

5. Conclusions

While the absence of effects in the inflamed triple culture indicates that an acute inflammation does not increase the susceptibility to ENM for the investigated endpoints, the exposure to ENM may pose the hazard of increasing the susceptibility to intestinal infections and the development of intestinal inflammation. We conclude this from upregulations of IL-8 and MUC13, as well as alterations of the MUC1 and MUC2 expression. In this context, CeO2 and Ag demand particular attention, especially considering their effects on MUC1 and MUC2 in vivo. Furthermore, we conclude that growth at confluence is crucial to prevent an overestimation and misinterpretation of ENM effects from in vitro models. Accordingly, confluent E12 cells and stable triple cultures reflected the in vivo effects well. Moreover, the capacity of the triple culture model to resemble changes in the mucin profile of patients and mice with an inflamed intestine emphasizes its suitability to investigate the toxicity of ENM in both healthy and inflamed phenotypes.

Supplementary Materials

The following are available online at https://www.mdpi.com/article/10.3390/nano11102621/s1, Table S1: Characteristics of pristine ENM as described by Bredeck et al. [50], Table S2: Primer sequences for human genes, Table S3: Primer sequences for murine genes, Table S4: Estimated constitutive gene expression in pre-confluent and confluent E12 cells as well as in stable and inflamed triple cultures, Table S5: Estimated constitutive gene expression in murine ileal tissue, Figure S1: Estimated constitutive gene expression in murine ileal tissue.

Author Contributions

Conceptualization, G.B., A.A.M.K., T.W. and A.S.; methodology, G.B., A.A.M.K. and C.A. and R.P.F.S.; software, G.B.; formal analysis, G.B.; investigation, G.B., A.A.M.K. and V.B.; resources, C.A. and R.P.F.S.; data curation, G.B.; writing—original draft preparation, G.B.; writing—review and editing, A.A.M.K. and R.P.F.S.; visualization, G.B.; supervision, A.A.M.K., C.A. and R.P.F.S.; project administration, C.A., R.P.F.S.; funding acquisition, R.P.F.S. All authors have read and agreed to the published version of the manuscript.

Funding

This work has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 760813, the Seventh Framework Programme under grant agreement No 310451, and the German Federal Ministry of Education and Research (FKZ 031L0020A).

Institutional Review Board Statement

The studies were approved by the Landesamt für Natur, Umwelt und Verbraucherschutz (LANUV, NRW, Germany) with the reference numbers 84-02.04.2017.A338 and 84-02.04.2013.A443.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are openly available in Mendeley Data at doi:10.17632/znd6v266cx.1.

Acknowledgments

The authors would like to thank Isabelle Masson, Mathias Busch, Julia Kolling, Paul M. Peeters, Miriam G. Hovest, Waluree Thongkam, Harm Heusinkveld, Christel Weishaupt, Gabriele Wick and Petra Gross for technical support in contributing to the animal studies. Moreover, we are thankful to Jun. Stefan Schmidt and Fabian Schröer of the Heinrich Heine University Düsseldorf, Germany, for providing access to their Zetasizer Nano-ZS.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Vance, M.E.; Kuiken, T.; Vejerano, E.P.; McGinnis, S.P.; Hochella, M.F., Jr.; Rejeski, D.; Hull, M.S. Nanotechnology in the real world: Redeveloping the nanomaterial consumer products inventory. Beilstein J. Nanotechnol. 2015, 6, 1769–1780. [Google Scholar] [CrossRef] [Green Version]
  2. World Health Organization. FAO/WHO Expert Meeting on the Application of Nanotechnologies in the Food and Agriculture Sectors: Potential Food Safety Implications: Meeting Report. In FAO/WHO Expert Meeting on the Application of Nanotechnologies in the Food and Agriculture Sectors: Potential Food Safety Implications; WHO: Rome, Italy, 2010. [Google Scholar]
  3. Chen, Z.; Han, S.; Zhou, S.; Feng, H.; Liu, Y.; Jia, G. Review of health safety aspects of titanium dioxide nanoparticles in food application. NanoImpact 2020, 18, 100224. [Google Scholar] [CrossRef]
  4. Bodaghi, H.; Mostofi, Y.; Oromiehie, A.; Zamani, Z.; Ghanbarzadeh, B.; Costa, C.; Conte, A.; Nobile, M.A.D. Evaluation of the photocatalytic antimicrobial effects of a TiO2 nanocomposite food packaging film by in vitro and in vivo tests. LWT Food Sci. Technol. 2013, 50, 702–706. [Google Scholar] [CrossRef]
  5. Phong, N.T.P.; Thanh, N.V.K.; Phuong, P.H. Fabrication of antibacterial water filter by coating silver nanoparticles on flexible polyurethane foams. In Proceedings of the Journal of Physics: Conference Series, Nha Trang City, Vietnam, 15–21 September 2009; Volume 187, p. 012079. [Google Scholar]
  6. Von Goetz, N.; Fabricius, L.; Glaus, R.; Weitbrecht, V.; Gunther, D.; Hungerbuhler, K. Migration of silver from commercial plastic food containers and implications for consumer exposure assessment. Food Addit. Contam. Part A 2013, 30, 612–620. [Google Scholar] [CrossRef]
  7. De Vos, S.; Waegeneers, N.; Verleysen, E.; Smeets, K.; Mast, J. Physico-chemical characterisation of the fraction of silver (nano)particles in pristine food additive E174 and in E174-containing confectionery. Food Addit. Contam. Part A 2020, 37, 1831–1846. [Google Scholar] [CrossRef] [PubMed]
  8. Ruiz-Rodriguez, P.E.; Meshulam, D.; Lesmes, U. Characterization of Pickering O/W Emulsions Stabilized by Silica Nanoparticles and Their Responsiveness to In vitro Digestion Conditions. Food Biophys. 2014, 9, 406–415. [Google Scholar] [CrossRef]
  9. Zhang, J.; Nazarenko, Y.; Zhang, L.; Calderon, L.; Lee, K.B.; Garfunkel, E.; Schwander, S.; Tetley, T.D.; Chung, K.F.; Porter, A.E.; et al. Impacts of a nanosized ceria additive on diesel engine emissions of particulate and gaseous pollutants. Environ. Sci. Technol. 2013, 47, 13077–13085. [Google Scholar] [CrossRef] [Green Version]
  10. Zamankhan, F.; Pirouzfar, V.; Ommi, F.; Valihesari, M. Investigating the effect of MgO and CeO2 metal nanoparticle on the gasoline fuel properties: Empirical modeling and process optimization by surface methodology. Environ. Sci. Pollut. Res. Int. 2018, 25, 22889–22902. [Google Scholar] [CrossRef]
  11. Rico, C.M.; Majumdar, S.; Duarte-Gardea, M.; Peralta-Videa, J.R.; Gardea-Torresdey, J.L. Interaction of Nanoparticles with Edible Plants and Their Possible Implications in the Food Chain. J. Agric. Food Chem. 2011, 59, 3485–3498. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  12. Servin, A.D.; De la Torre-Roche, R.; Castillo-Michel, H.; Pagano, L.; Hawthorne, J.; Musante, C.; Pignatello, J.; Uchimiya, M.; White, J.C. Exposure of agricultural crops to nanoparticle CeO2 in biochar-amended soil. Plant Physiol. Biochem. 2017, 110, 147–157. [Google Scholar] [CrossRef] [Green Version]
  13. Pietroiusti, A.; Bergamaschi, E.; Campagna, M.; Campagnolo, L.; De Palma, G.; Iavicoli, S.; Leso, V.; Magrini, A.; Miragoli, M.; Pedata, P.; et al. The unrecognized occupational relevance of the interaction between engineered nanomaterials and the gastro-intestinal tract: A consensus paper from a multidisciplinary working group. Part Fibre Toxicol. 2017, 14, 47. [Google Scholar] [CrossRef] [PubMed]
  14. Lamas, B.; Martins Breyner, N.; Houdeau, E. Impacts of foodborne inorganic nanoparticles on the gut microbiota-immune axis: Potential consequences for host health. Part Fibre Toxicol. 2020, 17, 19. [Google Scholar] [CrossRef]
  15. Georgantzopoulou, A.; Serchi, T.; Cambier, S.; Leclercq, C.C.; Renaut, J.; Shao, J.; Kruszewski, M.; Lentzen, E.; Grysan, P.; Eswara, S.; et al. Effects of silver nanoparticles and ions on a co-culture model for the gastrointestinal epithelium. Part Fibre Toxicol. 2016, 13, 9. [Google Scholar] [CrossRef] [Green Version]
  16. Cui, X.; Bao, L.; Wang, X.; Chen, C. The Nano-Intestine Interaction: Understanding the Location-Oriented Effects of Engineered Nanomaterials in the Intestine. Small 2020, 16, e1907665. [Google Scholar] [CrossRef]
  17. Kampfer, A.A.M.; Busch, M.; Schins, R.P.F. Advanced In Vitro Testing Strategies and Models of the Intestine for Nanosafety Research. Chem. Res. Toxicol. 2020, 33, 1163–1178. [Google Scholar] [CrossRef] [PubMed]
  18. Bi, Y.; Marcus, A.K.; Robert, H.; Krajmalnik-Brown, R.; Rittmann, B.E.; Westerhoff, P.; Ropers, M.H.; Mercier-Bonin, M. The complex puzzle of dietary silver nanoparticles, mucus and microbiota in the gut. J. Toxicol. Environ. Health B Crit. Rev. 2020, 23, 69–89. [Google Scholar] [CrossRef]
  19. Griessinger, J.; Dunnhaupt, S.; Cattoz, B.; Griffiths, P.; Oh, S.; Borros i Gomez, S.; Wilcox, M.; Pearson, J.; Gumbleton, M.; Abdulkarim, M.; et al. Methods to determine the interactions of micro- and nanoparticles with mucus. Eur. J. Pharm. Biopharm. 2015, 96, 464–476. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  20. Garcia-Diaz, M.; Birch, D.; Wan, F.; Nielsen, H.M. The role of mucus as an invisible cloak to transepithelial drug delivery by nanoparticles. Adv. Drug Deliv. Rev. 2018, 124, 107–124. [Google Scholar] [CrossRef]
  21. Bhattacharjee, S.; Mahon, E.; Harrison, S.M.; McGetrick, J.; Muniyappa, M.; Carrington, S.D.; Brayden, D.J. Nanoparticle passage through porcine jejunal mucus: Microfluidics and rheology. Nanomedicine 2017, 13, 863–873. [Google Scholar] [CrossRef]
  22. Talbot, P.; Radziwill-Bienkowska, J.M.; Kamphuis, J.B.J.; Steenkeste, K.; Bettini, S.; Robert, V.; Noordine, M.L.; Mayeur, C.; Gaultier, E.; Langella, P.; et al. Food-grade TiO2 is trapped by intestinal mucus in vitro but does not impair mucin O-glycosylation and short-chain fatty acid synthesis in vivo: Implications for gut barrier protection. J. Nanobiotechnol. 2018, 16, 53. [Google Scholar] [CrossRef] [Green Version]
  23. Mercier-Bonin, M.; Despax, B.; Raynaud, P.; Houdeau, E.; Thomas, M. Mucus and microbiota as emerging players in gut nanotoxicology: The example of dietary silver and titanium dioxide nanoparticles. Crit. Rev. Food Sci. Nutr. 2018, 58, 1023–1032. [Google Scholar] [CrossRef]
  24. Gillois, K.; Leveque, M.; Theodorou, V.; Robert, H.; Mercier-Bonin, M. Mucus: An Underestimated Gut Target for Environmental Pollutants and Food Additives. Microorganisms 2018, 6, 53. [Google Scholar] [CrossRef] [Green Version]
  25. Limage, R.; Tako, E.; Kolba, N.; Guo, Z.; Garcia-Rodriguez, A.; Marques, C.N.H.; Mahler, G.J. TiO2 Nanoparticles and Commensal Bacteria Alter Mucus Layer Thickness and Composition in a Gastrointestinal Tract Model. Small 2020, 16, e2000601. [Google Scholar] [CrossRef] [PubMed]
  26. Pinget, G.; Tan, J.; Janac, B.; Kaakoush, N.O.; Angelatos, A.S.; Sullivan, J.; Koay, Y.C.; Sierro, F.; Davis, J.; Divakarla, S.K.; et al. Impact of the Food Additive Titanium Dioxide (E171) on Gut Microbiota-Host Interaction. Front. Nutr. 2019, 6, 57. [Google Scholar] [CrossRef] [Green Version]
  27. Dorier, M.; Béal, D.; Tisseyre, C.; Marie-Desvergne, C.; Dubosson, M.; Barreau, F.; Houdeau, E.; Herlin-Boime, N.; Rabilloud, T.; Carriere, M. The food additive E171 and titanium dioxide nanoparticles indirectly alter the homeostasis of human intestinal epithelial cells in vitro. Environ. Sci. Nano 2019, 6, 1549–1561. [Google Scholar] [CrossRef] [Green Version]
  28. Allen, A.; Hutton, D.A.; Pearson, J.P.; Sellers, L.A. Mucus glycoprotein structure, gel formation and gastrointestinal mucus function. Ciba Foundation Symposium 109—Mucus and Mucosa. 1984, 109, 137–156. [Google Scholar] [CrossRef]
  29. Cornick, S.; Tawiah, A.; Chadee, K. Roles and regulation of the mucus barrier in the gut. Tissue Barriers 2015, 3, e982426. [Google Scholar] [CrossRef] [Green Version]
  30. Jager, S.; Stange, E.F.; Wehkamp, J. Inflammatory bowel disease: An impaired barrier disease. Langenbecks Arch. Surg. 2013, 398, 1–12. [Google Scholar] [CrossRef]
  31. Ho, S.B.; Niehans, G.A.; Lyftogt, C.; Yan, P.S.; Cherwitz, D.L.; Gum, E.T.; Dahiya, R.; Kim, Y.S. Heterogeneity of mucin gene expression in normal and neoplastic tissues. Cancer Res. 1993, 53, 641–651. [Google Scholar]
  32. Walsh, M.D.; Young, J.P.; Leggett, B.A.; Williams, S.H.; Jass, J.R.; McGuckin, M.A. The MUC13 cell surface mucin is highly expressed by human colorectal carcinomas. Hum. Pathol. 2007, 38, 883–892. [Google Scholar] [CrossRef]
  33. Pelaseyed, T.; Bergstrom, J.H.; Gustafsson, J.K.; Ermund, A.; Birchenough, G.M.; Schutte, A.; van der Post, S.; Svensson, F.; Rodriguez-Pineiro, A.M.; Nystrom, E.E.; et al. The mucus and mucins of the goblet cells and enterocytes provide the first defense line of the gastrointestinal tract and interact with the immune system. Immunol. Rev. 2014, 260, 8–20. [Google Scholar] [CrossRef] [Green Version]
  34. Sheng, Y.H.; Hasnain, S.Z.; Florin, T.H.J.; McGuckin, M.A. Mucins in inflammatory bowel diseases and colorectal cancer. J. Gastroenterol. Hepatol. 2011, 27, 28–38. [Google Scholar] [CrossRef]
  35. Cairns, M.T.; Gupta, A.; Naughton, J.A.; Kane, M.; Clyne, M.; Joshi, L. Glycosylation-related gene expression in HT29-MTX-E12 cells upon infection by Helicobacter pylori. World J. Gastroenterol. 2017, 23, 6817–6832. [Google Scholar] [CrossRef]
  36. Yamamoto-Furusho, J.K.; Ascano-Gutierrez, I.; Furuzawa-Carballeda, J.; Fonseca-Camarillo, G. Differential Expression of MUC12, MUC16, and MUC20 in Patients with Active and Remission Ulcerative Colitis. Mediat. Inflamm. 2015, 2015, 659018. [Google Scholar] [CrossRef] [Green Version]
  37. McAuley, J.L.; Linden, S.K.; Png, C.W.; King, R.M.; Pennington, H.L.; Gendler, S.J.; Florin, T.H.; Hill, G.R.; Korolik, V.; McGuckin, M.A. MUC1 cell surface mucin is a critical element of the mucosal barrier to infection. J. Clin. Investig. 2007, 117, 2313–2324. [Google Scholar] [CrossRef] [PubMed]
  38. Ng, G.Z.; Menheniott, T.R.; Every, A.L.; Stent, A.; Judd, L.M.; Chionh, Y.T.; Dhar, P.; Komen, J.C.; Giraud, A.S.; Wang, T.C.; et al. The MUC1 mucin protects against Helicobacter pylori pathogenesis in mice by regulation of the NLRP3 inflammasome. Gut 2016, 65, 1087–1099. [Google Scholar] [CrossRef]
  39. Dhar, P.; McAuley, J. The Role of the Cell Surface Mucin MUC1 as a Barrier to Infection and Regulator of Inflammation. Front. Cell Infect. Microbiol. 2019, 9, 117. [Google Scholar] [CrossRef]
  40. Cobo, E.R.; Holani, R.; Moreau, F.; Nakamura, K.; Ayabe, T.; Mastroianni, J.R.; Ouellette, A.; Chadee, K. Entamoeba histolytica Alters Ileal Paneth Cell Functions in Intact and Muc2 Mucin Deficiency. Infect. Immun. 2018, 86, e00208. [Google Scholar] [CrossRef] [Green Version]
  41. Fijneman, R.J.; Peham, J.R.; van de Wiel, M.A.; Meijer, G.A.; Matise, I.; Velcich, A.; Cormier, R.T. Expression of Pla2g2a prevents carcinogenesis in Muc2-deficient mice. Cancer Sci. 2008, 99, 2113–2119. [Google Scholar] [CrossRef]
  42. Sheng, Y.H.; Lourie, R.; Linden, S.K.; Jeffery, P.L.; Roche, D.; Tran, T.V.; Png, C.W.; Waterhouse, N.; Sutton, P.; Florin, T.H.; et al. The MUC13 cell-surface mucin protects against intestinal inflammation by inhibiting epithelial cell apoptosis. Gut 2011, 60, 1661–1670. [Google Scholar] [CrossRef] [PubMed]
  43. Frohlich, E. Comparison of conventional and advanced in vitro models in the toxicity testing of nanoparticles. Artif. Cells Nanomed. Biotechnol. 2018, 46, 1091–1107. [Google Scholar] [CrossRef] [Green Version]
  44. Engle, M.J.; Goetz, G.S.; Alpers, D.H. Caco-2 cells express a combination of colonocyte and enterocyte phenotypes. J. Cell. Physiol. 1998, 174, 362–369. [Google Scholar] [CrossRef]
  45. Lesuffleur, T.; Porchet, N.; Aubert, J.P.; Swallow, D.; Gum, J.R.; Kim, Y.S.; Real, F.X.; Zweibaum, A. Differential expression of the human mucin genes MUC1 to MUC5 in relation to growth and differentiation of different mucus-secreting HT-29 cell subpopulations. J. Cell Sci. 1993, 106, 771–783. [Google Scholar] [CrossRef]
  46. Behrens, I.; Stenberg, P.; Artursson, P.; Kissel, T. Transport of lipophilic drug molecules in a new mucus-secreting cell culture model based on HT29-MTX cells. Pharm. Res. 2001, 18, 1138–1145. [Google Scholar] [CrossRef] [PubMed]
  47. Mahler, G.J.; Shuler, M.L.; Glahn, R.P. Characterization of Caco-2 and HT29-MTX cocultures in an in vitro digestion/cell culture model used to predict iron bioavailability. J. Nutr. Biochem. 2009, 20, 494–502. [Google Scholar] [CrossRef]
  48. Guo, Z.; Martucci, N.J.; Liu, Y.; Yoo, E.; Tako, E.; Mahler, G.J. Silicon dioxide nanoparticle exposure affects small intestine function in an in vitro model. Nanotoxicology 2018, 12, 485–508. [Google Scholar] [CrossRef]
  49. Yuan, H.; Chen, C.Y.; Chai, G.H.; Du, Y.Z.; Hu, F.Q. Improved transport and absorption through gastrointestinal tract by PEGylated solid lipid nanoparticles. Mol. Pharm. 2013, 10, 1865–1873. [Google Scholar] [CrossRef] [PubMed]
  50. Bredeck, G.; Kampfer, A.A.M.; Sofranko, A.; Wahle, T.; Lison, D.; Ambroise, J.; Stahlmecke, B.; Albrecht, C.; Schins, R.P.F. Effects of dietary exposure to the engineered nanomaterials CeO2, SiO2, Ag, and TiO2 on the murine gut microbiome. Nanotoxicology 2021, 15, 1–17. [Google Scholar] [CrossRef]
  51. Hinderliter, P.M.; Minard, K.R.; Orr, G.; Chrisler, W.B.; Thrall, B.D.; Pounds, J.G.; Teeguarden, J.G. ISDD: A computational model of particle sedimentation, diffusion and target cell dosimetry for in vitro toxicity studies. Part Fibre Toxicol. 2010, 7, 36. [Google Scholar] [CrossRef] [Green Version]
  52. Kampfer, A.A.M.; Busch, M.; Buttner, V.; Bredeck, G.; Stahlmecke, B.; Hellack, B.; Masson, I.; Sofranko, A.; Albrecht, C.; Schins, R.P.F. Model Complexity as Determining Factor for In Vitro Nanosafety Studies: Effects of Silver and Titanium Dioxide Nanomaterials in Intestinal Models. Small 2021, 17, e2004223. [Google Scholar] [CrossRef] [PubMed]
  53. Kolling, J.; Tigges, J.; Hellack, B.; Albrecht, C.; Schins, R.P.F. Evaluation of the NLRP3 Inflammasome Activating Effects of a Large Panel of TiO2 Nanomaterials in Macrophages. Nanomaterials 2020, 10, 1876. [Google Scholar] [CrossRef] [PubMed]
  54. Livak, K.J.; Schmittgen, T.D. Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the ΔΔCT Method. Methods 2001, 25, 402–408. [Google Scholar] [CrossRef]
  55. Agullo, G.; Gamet, L.; Besson, C.; Demigne, C.; Remesy, C. Quercetin exerts a preferential cytotoxic effect on active dividing colon carcinoma HT29 and Caco-2 cells. Cancer Lett 1994, 87, 55–63. [Google Scholar] [CrossRef]
  56. Gehrke, H.; Frühmesser, A.; Pelka, J.; Esselen, M.; Hecht, L.L.; Blank, H.; Schuchmann, H.P.; Gerthsen, D.; Marquardt, C.; Diabaté, S.; et al. In vitrotoxicity of amorphous silica nanoparticles in human colon carcinoma cells. Nanotoxicology 2012, 7, 274–293. [Google Scholar] [CrossRef] [PubMed]
  57. Gerloff, K.; Pereira, D.I.; Faria, N.; Boots, A.W.; Kolling, J.; Forster, I.; Albrecht, C.; Powell, J.J.; Schins, R.P. Influence of simulated gastrointestinal conditions on particle-induced cytotoxicity and interleukin-8 regulation in differentiated and undifferentiated Caco-2 cells. Nanotoxicology 2013, 7, 353–366. [Google Scholar] [CrossRef] [Green Version]
  58. FDA. Title 21 of Code of the Federal Regulations, 21 CFR §73.575; U.S. Food and Drug Administration: Silver Spring, MD, USA, 2020; pp. 447–448.
  59. Buesen, R.; Landsiedel, R.; Sauer, U.G.; Wohlleben, W.; Groeters, S.; Strauss, V.; Kamp, H.; van Ravenzwaay, B. Effects of SiO2, ZrO2, and BaSO4 nanomaterials with or without surface functionalization upon 28-day oral exposure to rats. Arch. Toxicol. 2014, 88, 1881–1906. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  60. Lee, J.; Jeong, J.-S.; Kim, S.Y.; Lee, S.-J.; Shin, Y.-J.; Im, W.-J.; Kim, S.-H.; Park, K.; Jeong, E.J.; Nam, S.-Y.; et al. Safety assessment of cerium oxide nanoparticles: Combined repeated-dose toxicity withreproductive/developmental toxicity screening andbiodistribution in rats. Nanotoxicology 2019, 14, 696–710. [Google Scholar] [CrossRef] [PubMed]
  61. Heo, M.B.; Kwak, M.; An, K.S.; Kim, H.J.; Ryu, H.Y.; Lee, S.M.; Song, K.S.; Kim, I.Y.; Kwon, J.H.; Lee, T.G. Oral toxicity of titanium dioxide P25 at repeated dose 28-day and 90-day in rats. Part Fibre Toxicol. 2020, 17, 34. [Google Scholar] [CrossRef]
  62. Johansson, M.E.V.; Phillipson, M.; Petersson, J.; Velcich, A.; Holm, L.; Hansson, G.C. The inner of the two Muc2 mucin-dependent mucus layers in colon is devoid of bacteria. Proc. Natl. Acad. Sci. USA 2008, 105, 15064–15069. [Google Scholar] [CrossRef] [Green Version]
  63. Sheng, Y.H.; Triyana, S.; Wang, R.; Das, I.; Gerloff, K.; Florin, T.H.; Sutton, P.; McGuckin, M.A. MUC1 and MUC13 differentially regulate epithelial inflammation in response to inflammatory and infectious stimuli. Mucosal Immunol. 2013, 6, 557–568. [Google Scholar] [CrossRef] [Green Version]
  64. Olli, K.E.; Rapp, C.; O’Connell, L.; Collins, C.B.; McNamee, E.N.; Jensen, O.; Jedlicka, P.; Allison, K.C.; Goldberg, M.S.; Gerich, M.E.; et al. Muc5ac Expression Protects the Colonic Barrier in Experimental Colitis. Inflamm. Bowel Dis. 2020, 26, 1353–1367. [Google Scholar] [CrossRef] [PubMed]
  65. Niv, Y.; Rokkas, T. Mucin Expression in Colorectal Cancer (CRC): Systematic Review and Meta-Analysis. J. Clin. Gastroenterol. 2019, 53, 434–440. [Google Scholar] [CrossRef]
  66. Beatty, P.L.; Plevy, S.E.; Sepulveda, A.R.; Finn, O.J. Cutting Edge: Transgenic Expression of Human MUC1 in IL-10−/− Mice Accelerates Inflammatory Bowel Disease and Progression to Colon Cancer. J. Immunol. 2007, 179, 735–739. [Google Scholar] [CrossRef] [Green Version]
  67. Baggiolini, M.; Clark-Lewis, I. Interleukin-8, a chemotactic and inflammatory cytokine. FEBS Lett. 1992, 307, 97–101. [Google Scholar] [CrossRef] [Green Version]
  68. Mazzucchelli, L.; Hauser, C.; Zgraggen, K.; Wagner, H.; Hess, M.; Laissue, J.A.; Mueller, C. Expression of interleukin-8 gene in inflammatory bowel disease is related to the histological grade of active inflammation. Am. J. Pathol. 1994, 144, 997–1007. [Google Scholar]
  69. Oberdorster, G.; Oberdorster, E.; Oberdorster, J. Nanotoxicology: An emerging discipline evolving from studies of ultrafine particles. Environ. Health Perspect. 2005, 113, 823–839. [Google Scholar] [CrossRef]
  70. Wittmaack, K. In Search of the Most Relevant Parameter for Quantifying Lung Inflammatory Response to Nanoparticle Exposure: Particle Number, Surface Area, or What? Environ. Health Perspect. 2007, 115, 187–194. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  71. Susewind, J.; de Souza Carvalho-Wodarz, C.; Repnik, U.; Collnot, E.M.; Schneider-Daum, N.; Griffiths, G.W.; Lehr, C.M. A 3D co-culture of three human cell lines to model the inflamed intestinal mucosa for safety testing of nanomaterials. Nanotoxicology 2016, 10, 53–62. [Google Scholar] [CrossRef] [PubMed]
  72. Ude, V.C.; Brown, D.M.; Maciaszek, K.; Stone, V.; Johnston, H.J. Comparing the sensitivity of different intestinal Caco-2 in vitro monocultures and co-cultures to amorphous silicon dioxide nanomaterials and the clay montmorillonite. NanoImpact 2019, 15, 100165. [Google Scholar] [CrossRef]
  73. Jeong, G.N.; Jo, U.B.; Ryu, H.Y.; Kim, Y.S.; Song, K.S.; Yu, I.J. Histochemical study of intestinal mucins after administration of silver nanoparticles in Sprague-Dawley rats. Arch. Toxicol. 2010, 84, 63–69. [Google Scholar] [CrossRef] [PubMed]
  74. Williams, K.; Milner, J.; Boudreau, M.D.; Gokulan, K.; Cerniglia, C.E.; Khare, S. Effects of subchronic exposure of silver nanoparticles on intestinal microbiota and gut-associated immune responses in the ileum of Sprague-Dawley rats. Nanotoxicology 2015, 9, 279–289. [Google Scholar] [CrossRef]
  75. Augenlicht, L.; Shi, L.; Mariadason, J.; Laboisse, C.; Velcich, A. Repression of MUC2 gene expression by butyrate, a physiological regulator of intestinal cell maturation. Oncogene 2003, 22, 4983–4992. [Google Scholar] [CrossRef] [Green Version]
  76. Gaudier, E.; Rival, M.; Buisine, M.P.; Robineau, I.; Hoebler, C. Butyrate enemas upregulate Muc genes expression but decrease adherent mucus thickness in mice colon. Physiol. Res. 2009, 58, 111–119. [Google Scholar] [CrossRef]
  77. Gaudier, E.; Jarry, A.; Blottiere, H.M.; de Coppet, P.; Buisine, M.P.; Aubert, J.P.; Laboisse, C.; Cherbut, C.; Hoebler, C. Butyrate specifically modulates MUC gene expression in intestinal epithelial goblet cells deprived of glucose. Am. J. Physiol. Gastrointest. Liver Physiol. 2004, 287, G1168–G1174. [Google Scholar] [CrossRef] [Green Version]
  78. Paassen, N.B.-V.; Vincent, A.; Puiman, P.J.; van der Sluis, M.; Bouma, J.; Boehm, G.; van Goudoever, J.B.; van Seuningen, I.; Renes, I.B. The regulation of intestinal mucin MUC2 expression by short-chain fatty acids: Implications for epithelial protection. Biochem. J. 2009, 420, 211–219. [Google Scholar] [CrossRef] [Green Version]
  79. Seo, B.; Jeon, K.; Moon, S.; Lee, K.; Kim, W.K.; Jeong, H.; Cha, K.H.; Lim, M.Y.; Kang, W.; Kweon, M.N.; et al. Roseburia spp. Abundance Associates with Alcohol Consumption in Humans and Its Administration Ameliorates Alcoholic Fatty Liver in Mice. Cell Host Microbe 2020, 27, 25–40.e26. [Google Scholar] [CrossRef]
  80. Grimm, M.C.; Elsbury, S.K.; Pavli, P.; Doe, W.F. Interleukin 8: Cells of origin in inflammatory bowel disease. Gut 1996, 38, 90–98. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  81. Johansson, M.E.V.; Gustafsson, J.K.; Holmén-Larsson, J.; Jabbar, K.S.; Xia, L.; Xu, H.; Ghishan, F.K.; Carvalho, F.A.; Gewirtz, A.T.; Sjövall, H.; et al. Bacteria penetrate the normally impenetrable inner colon mucus layer in both murine colitis models and patients with ulcerative colitis. Gut 2013, 63, 281–291. [Google Scholar] [CrossRef] [PubMed]
  82. Kissoon-Singh, V.; Moreau, F.; Trusevych, E.; Chadee, K. Entamoeba histolytica Exacerbates Epithelial Tight Junction Permeability and Proinflammatory Responses in Muc2−/− Mice. Am. J. Pathol. 2013, 182, 852–865. [Google Scholar] [CrossRef]
  83. Tadesse, S.; Corner, G.; Dhima, E.; Houston, M.; Guha, C.; Augenlicht, L.; Velcich, A. MUC2 mucin deficiency alters inflammatory and metabolic pathways in the mouse intestinal mucosa. Oncotarget 2017, 8, 71456–71470. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  84. Renes, I.B.; Boshuizen, J.A.; Van Nispen, D.J.; Bulsing, N.P.; Buller, H.A.; Dekker, J.; Einerhand, A.W. Alterations in Muc2 biosynthesis and secretion during dextran sulfate sodium-induced colitis. Am. J. Physiol. Gastrointest. Liver Physiol. 2002, 282, G382–G389. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  85. Melo-Gonzalez, F.; Fenton, T.M.; Forss, C.; Smedley, C.; Goenka, A.; MacDonald, A.S.; Thornton, D.J.; Travis, M.A. Intestinal mucin activates human dendritic cells and IL-8 production in a glycan-specific manner. J. Biol. Chem. 2018, 293, 8543–8553. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  86. McCracken, C.; Dutta, P.K.; Waldman, W.J. Critical assessment of toxicological effects of ingested nanoparticles. Environ. Sci. Nano 2016, 3, 256–282. [Google Scholar] [CrossRef]
  87. Yin, L.; Li, Y.; Ren, J.; Kuwahara, H.; Kufe, D. Human MUC1 carcinoma antigen regulates intracellular oxidant levels and the apoptotic response to oxidative stress. J. Biol. Chem. 2003, 278, 35458–35464. [Google Scholar] [CrossRef] [Green Version]
  88. Takeyama, K.; Dabbagh, K.; Jeong Shim, J.; Dao-Pick, T.; Ueki, I.F.; Nadel, J.A. Oxidative stress causes mucin synthesis via transactivation of epidermal growth factor receptor: Role of neutrophils. J. Immunol. 2000, 164, 1546–1552. [Google Scholar] [CrossRef] [Green Version]
  89. Yamashita, M.S.A.; Melo, E.O. Mucin 2 (MUC2) promoter characterization: An overview. Cell Tissue Res. 2018, 374, 455–463. [Google Scholar] [CrossRef] [Green Version]
  90. Yang, D.; Liu, D.; Qin, M.; Chen, B.; Song, S.; Dai, W.; Zhang, H.; Wang, X.; Wang, Y.; He, B.; et al. Intestinal Mucin Induces More Endocytosis but Less Transcytosis of Nanoparticles across Enterocytes by Triggering Nanoclustering and Strengthening the Retrograde Pathway. ACS Appl. Mater. Interfaces 2018, 10, 11443–11456. [Google Scholar] [CrossRef]
  91. Guo, Z.; Martucci, N.J.; Moreno-Olivas, F.; Tako, E.; Mahler, G.J. Titanium Dioxide Nanoparticle Ingestion Alters Nutrient Absorption in an In Vitro Model of the Small Intestine. NanoImpact 2017, 5, 70–82. [Google Scholar] [CrossRef] [Green Version]
  92. Ude, V.C.; Brown, D.M.; Viale, L.; Kanase, N.; Stone, V.; Johnston, H.J. Impact of copper oxide nanomaterials on differentiated and undifferentiated Caco-2 intestinal epithelial cells; assessment of cytotoxicity, barrier integrity, cytokine production and nanomaterial penetration. Part Fibre Toxicol. 2017, 14, 31. [Google Scholar] [CrossRef]
  93. Wenz, C.; Faust, D.; Linz, B.; Turmann, C.; Nikolova, T.; Dietrich, C. Cell-cell contacts protect against t-BuOOH-induced cellular damage and ferroptosis in vitro. Arch. Toxicol. 2019, 93, 1265–1279. [Google Scholar] [CrossRef]
  94. Navabi, N.; McGuckin, M.A.; Lindén, S.K. Gastrointestinal Cell Lines Form Polarized Epithelia with an Adherent Mucus Layer when Cultured in Semi-Wet Interfaces with Mechanical Stimulation. PLoS ONE 2013, 8, e68761. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  95. Reuter, C.; Alzheimer, M.; Walles, H.; Oelschlaeger, T.A. An adherent mucus layer attenuates the genotoxic effect of colibactin. Cell Microbiol. 2018, 20, e12812. [Google Scholar] [CrossRef] [Green Version]
  96. Hashash, J.G.; Beatty, P.L.; Critelli, K.; Hartman, D.J.; Regueiro, M.; Tamim, H.; Regueiro, M.D.; Binion, D.G.; Finn, O.J. Altered Expression of the Epithelial Mucin MUC1 Accompanies Endoscopic Recurrence of Postoperative Crohn’s Disease. J. Clin. Gastroenterol. 2021, 55, 127–133. [Google Scholar] [CrossRef] [PubMed]
  97. Breugelmans, T.; Van Spaendonk, H.; De Man, J.G.; De Schepper, H.U.; Jauregui-Amezaga, A.; Macken, E.; Linden, S.K.; Pintelon, I.; Timmermans, J.P.; De Winter, B.Y.; et al. In-Depth Study of Transmembrane Mucins in Association with Intestinal Barrier Dysfunction During the Course of T Cell Transfer and DSS-Induced Colitis. J. Crohns Colitis 2020, 14, 974–994. [Google Scholar] [CrossRef]
  98. Buisine, M.P.; Desreumaux, P.; Debailleul, V.; Gambiez, L.; Geboes, K.; Ectors, N.; Delescaut, M.P.; Degand, P.; Aubert, J.P.; Colombel, J.F.; et al. Abnormalities in mucin gene expression in Crohn’s disease. Inflamm. Bowel Dis. 1999, 5, 24–32. [Google Scholar] [CrossRef] [PubMed]
Figure 1. Sedimentation of ENM within 24 h was estimated with the ISDD model based on an initially administered dose of 80 µg/cm2. The sedimented fraction in % (a left y-axis), sedimented mass in µg/cm2 (a right y-axis), surface area of the sedimented particles (b), and sedimented particle number per cm2 (c) were calculated.
Figure 1. Sedimentation of ENM within 24 h was estimated with the ISDD model based on an initially administered dose of 80 µg/cm2. The sedimented fraction in % (a left y-axis), sedimented mass in µg/cm2 (a right y-axis), surface area of the sedimented particles (b), and sedimented particle number per cm2 (c) were calculated.
Nanomaterials 11 02621 g001
Figure 2. Alcian blue staining and PAS reaction on pre-confluent and confluent E12 cells. The cells were grown for two days (a), 11 days (b), and 22 days (c) post-seeding. Alcian blue was applied to assess acidic mucus. The PAS reaction yielded a pink color on neutral mucus. Images were acquired at 20× magnification.
Figure 2. Alcian blue staining and PAS reaction on pre-confluent and confluent E12 cells. The cells were grown for two days (a), 11 days (b), and 22 days (c) post-seeding. Alcian blue was applied to assess acidic mucus. The PAS reaction yielded a pink color on neutral mucus. Images were acquired at 20× magnification.
Nanomaterials 11 02621 g002
Figure 3. These radar charts show the gene expression in confluent E12 cells compared to pre-confluent E12 cells (a), in stable triple cultures compared to confluent E12 cells (b) and in inflamed compared to stable triple cultures (c) depicted as fold change. CT-values measured for untreated E12 cells and triple cultures were averaged. The fold change was calculated as ratio of the CT-value of one model and the CT-value of the next less complex model. The bold lines indicate fold change 1.0. Values closer to the center mean lower expression in the more complex model and vice versa.
Figure 3. These radar charts show the gene expression in confluent E12 cells compared to pre-confluent E12 cells (a), in stable triple cultures compared to confluent E12 cells (b) and in inflamed compared to stable triple cultures (c) depicted as fold change. CT-values measured for untreated E12 cells and triple cultures were averaged. The fold change was calculated as ratio of the CT-value of one model and the CT-value of the next less complex model. The bold lines indicate fold change 1.0. Values closer to the center mean lower expression in the more complex model and vice versa.
Nanomaterials 11 02621 g003
Figure 4. Relative viabilities of pre-confluent E12 cells upon exposure to TiO2, Ag, CeO2, and SiO2. Cells were exposed to concentrations in the range of 0–80 µg/cm2 for 24 h. The cell viability examined with the WST-1 assay was normalized to the negative control. The values are plotted as mean ± SD of N ≥ 3 independent experiments. An ANOVA with Dunnett’s post-hoc test was performed.
Figure 4. Relative viabilities of pre-confluent E12 cells upon exposure to TiO2, Ag, CeO2, and SiO2. Cells were exposed to concentrations in the range of 0–80 µg/cm2 for 24 h. The cell viability examined with the WST-1 assay was normalized to the negative control. The values are plotted as mean ± SD of N ≥ 3 independent experiments. An ANOVA with Dunnett’s post-hoc test was performed.
Nanomaterials 11 02621 g004
Figure 5. Gene expression of IL-8 and mucins in E12 cells upon exposure to TiO2, Ag, CeO2, and SiO2. Pre-confluent and confluent E12 cells were exposed to 80 µg/cm2 ENM for 4 h and 24 h. The relative gene expression of IL-8, MUC1, MUC2, MUC5AC, MUC13, and MUC20 was assessed by qRT-PCR. The results were normalized to the unexposed negative controls and β-Actin as reference gene. The depicted fold changes with SD were derived from the mean and SD of the ΔΔCT-values of N = 3 independent experiments (t-test; * p ≤ 0.05; ** p ≤ 0.01). The gene expression of all investigated genes is depicted as heatmap (a). As an extract, the gene expression of IL-8 (b), MUC2 (c), MUC13 (d) and MUC20 (e) in pre-confluent E12 cells is depicted separately.
Figure 5. Gene expression of IL-8 and mucins in E12 cells upon exposure to TiO2, Ag, CeO2, and SiO2. Pre-confluent and confluent E12 cells were exposed to 80 µg/cm2 ENM for 4 h and 24 h. The relative gene expression of IL-8, MUC1, MUC2, MUC5AC, MUC13, and MUC20 was assessed by qRT-PCR. The results were normalized to the unexposed negative controls and β-Actin as reference gene. The depicted fold changes with SD were derived from the mean and SD of the ΔΔCT-values of N = 3 independent experiments (t-test; * p ≤ 0.05; ** p ≤ 0.01). The gene expression of all investigated genes is depicted as heatmap (a). As an extract, the gene expression of IL-8 (b), MUC2 (c), MUC13 (d) and MUC20 (e) in pre-confluent E12 cells is depicted separately.
Nanomaterials 11 02621 g005
Figure 6. Gene expression of IL-8 and mucins in stable (a,c) and inflamed (b,d) triple cultures upon exposure to Ag (a,b) and SiO2 (c,d). Triple cultures were exposed to 10 and 80 µg/cm2 ENM for 24 h. The relative gene expression of IL-8, MUC1, MUC2, MUC5AC, MUC13, and MUC20 was assessed by qRT-PCR. The results were normalized to the unexposed negative controls and β-Actin as reference gene. The depicted fold changes with SD were derived from the mean and SD of the ΔΔCT-values of N = 3 independent experiments (t-test; * p ≤ 0.05; ** p ≤ 0.01).
Figure 6. Gene expression of IL-8 and mucins in stable (a,c) and inflamed (b,d) triple cultures upon exposure to Ag (a,b) and SiO2 (c,d). Triple cultures were exposed to 10 and 80 µg/cm2 ENM for 24 h. The relative gene expression of IL-8, MUC1, MUC2, MUC5AC, MUC13, and MUC20 was assessed by qRT-PCR. The results were normalized to the unexposed negative controls and β-Actin as reference gene. The depicted fold changes with SD were derived from the mean and SD of the ΔΔCT-values of N = 3 independent experiments (t-test; * p ≤ 0.05; ** p ≤ 0.01).
Nanomaterials 11 02621 g006
Figure 7. Gene expression of mucins in murine ileal tissues after ENM exposure. Female and male C57BL/6J mice were fed with feed pellets containing either no additive, 1.0% TiO2 (a) or 0.2% Ag (b) for 28 days. Female C57BL/6J mice were fed with feed pellets containing either no additive, 1.0% CeO2 (c) or 1.0% SiO2 (d) for 21 days. The relative gene expression of Muc1, Muc2, Muc13 and Muc20 was assessed by qRT-PCR. The results for the ENM exposed mice were normalized to those in the control mice using Rplp0 as reference gene. The depicted fold changes with SEM were derived from the mean and SEM of the ΔΔCT-values of N ≥ 5 independent experiments (t-test; * p ≤ 0.05).
Figure 7. Gene expression of mucins in murine ileal tissues after ENM exposure. Female and male C57BL/6J mice were fed with feed pellets containing either no additive, 1.0% TiO2 (a) or 0.2% Ag (b) for 28 days. Female C57BL/6J mice were fed with feed pellets containing either no additive, 1.0% CeO2 (c) or 1.0% SiO2 (d) for 21 days. The relative gene expression of Muc1, Muc2, Muc13 and Muc20 was assessed by qRT-PCR. The results for the ENM exposed mice were normalized to those in the control mice using Rplp0 as reference gene. The depicted fold changes with SEM were derived from the mean and SEM of the ΔΔCT-values of N ≥ 5 independent experiments (t-test; * p ≤ 0.05).
Nanomaterials 11 02621 g007
Table 1. Cell number, well volume and well filling height for different plate formats according to the respective size of the well surface.
Table 1. Cell number, well volume and well filling height for different plate formats according to the respective size of the well surface.
Plate FormatWell SurfaceCells per WellVolumeFilling Height
6-Well9.6 cm230 × 1043.0 mL3.2 mm
96-Well0.32 cm21 × 1040.1 mL3.2 mm
Table 2. Agglomerate diameter of CeO2 and SiO2 determined via DLS measurement.
Table 2. Agglomerate diameter of CeO2 and SiO2 determined via DLS measurement.
ENMHydrodynamic Diameter [nm]PDI
CeO2284 ± 130.264
SiO2264 ± 90.392
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Bredeck, G.; Kämpfer, A.A.M.; Sofranko, A.; Wahle, T.; Büttner, V.; Albrecht, C.; Schins, R.P.F. Ingested Engineered Nanomaterials Affect the Expression of Mucin Genes—An In Vitro-In Vivo Comparison. Nanomaterials 2021, 11, 2621. https://doi.org/10.3390/nano11102621

AMA Style

Bredeck G, Kämpfer AAM, Sofranko A, Wahle T, Büttner V, Albrecht C, Schins RPF. Ingested Engineered Nanomaterials Affect the Expression of Mucin Genes—An In Vitro-In Vivo Comparison. Nanomaterials. 2021; 11(10):2621. https://doi.org/10.3390/nano11102621

Chicago/Turabian Style

Bredeck, Gerrit, Angela A. M. Kämpfer, Adriana Sofranko, Tina Wahle, Veronika Büttner, Catrin Albrecht, and Roel P. F. Schins. 2021. "Ingested Engineered Nanomaterials Affect the Expression of Mucin Genes—An In Vitro-In Vivo Comparison" Nanomaterials 11, no. 10: 2621. https://doi.org/10.3390/nano11102621

APA Style

Bredeck, G., Kämpfer, A. A. M., Sofranko, A., Wahle, T., Büttner, V., Albrecht, C., & Schins, R. P. F. (2021). Ingested Engineered Nanomaterials Affect the Expression of Mucin Genes—An In Vitro-In Vivo Comparison. Nanomaterials, 11(10), 2621. https://doi.org/10.3390/nano11102621

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop