Originally published In Press as doi:10.1074/mcp.M600234-MCP200 on October 6, 2006.
Molecular & Cellular Proteomics 6:56-63, 2007.
© 2007 by The American Society for Biochemistry and Molecular Biology, Inc.
Research
Proteomic Identification of Macrophage Migration-inhibitory Factor upon Exposure to TiO2 Particles*
Myung-Hwa Cha
,
,
TaiYoun Rhim
,
,
Kyung Hun Kim
,
An-Soo Jang
,¶,
Young-Ki Paik|| and
Choon-Sik Park
,**
From the
Genome Research Center for Allergy and Respiratory Diseases, Soonchunhyang University Hospital, Bucheon-si, Gyeonggi-do 420-853, Korea and || Yonsei Proteome Research Center, Seoul, 120-749, Korea
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ABSTRACT
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Inhalation of particulate matter aggravates respiratory symptoms in patients with chronic airway diseases, but the mechanisms underlying this response remain poorly understood. We used a proteomics approach to examine this phenomenon. Treatment of epithelial cells with BSA-coated titanium dioxide (TiO2) particles altered 20 protein spots on the two-dimensional gel, and these were then analyzed by nano-LC-MS/MS. These proteins included defense-related, cell-activating, and cytoskeletal proteins implicated in the response to oxidative stress. The proteins were classified into four groups according to the time course of their expression patterns. For validation, RT-PCR was performed on extracts of in vitro TiO2-treated cells, and lung issues from TiO2-treated rats were analyzed by immunohistochemical staining and enzyme immunoassay. TiO2 treatment was found to increase the amount of mRNA for macrophage migration-inhibitory factor (MIF). MIF was expressed primarily in epithelium and was elevated in lung tissues and bronchoalveolar lavage fluids of TiO2-treated rats as compared with sham-treated rats. Carbon black and diesel exhaust particles also induced expression of MIF protein in the epithelial cells.
Increasing epidemiological evidence indicates that inhalation of airborne particulate matter (PM)1 is associated with adverse health outcomes, such as respiratory and cardiac mortality and morbidity (1, 2). The lung function of patients with chronic obstructive pulmonary disease declines more quickly in those patients who live in communities exposed to high levels of air pollution compared with those patients living in areas with low pollution (3). Levels of environmental particles also positively correlate with exacerbation of asthma (4). During the last decade, the composition of air pollution in developed countries has changed from classical type 1, consisting of SO2 and large dust particles, to modern type II, which is characterized by oxides of nitrogen, organic compounds, ozone, and ultrafine particles (5).
Airborne particulate matter with an aerodynamic diameter of less than 10 µm (PM10) is a complex mixture of organic and inorganic compounds containing sulfates and various metals such as aluminum, calcium, copper, iron, lead, magnesium, titanium, and zinc (6). Clinically PM10 particles are thought to provoke airway inflammation by stimulating the release of mediators that exacerbate lung disease in susceptible individuals (4, 7). This hypothesis is based on experimental evidence that direct instillation or inhalation of PM10 particles is followed by airway inflammation in animal models (8).
TiO2 particles are a PM10 component found in dusty workplaces in industries involved in the crushing and grinding of the mineral ore rutile (9). Fifty percent of TiO2-exposed workers have respiratory symptoms accompanied by reduction in pulmonary function (10). Because acute and chronic exposures to TiO2 particles also induce inflammatory responses in the airways and alveolar spaces of rats (1114), TiO2-treated rats are a good model for the study of the human epithelial response to PM10 particles.
These fine and ultrafine particles directly stimulate macrophages and epithelial cells to produce both inflammatory cytokines, such as tumor necrosis factor-
, transforming growth factor-ß1, granulocyte-macrophage colony-stimulating factor, platelet-derived growth factor, IL-6, and IL-8, and reactive oxygen species (ROS) (1521). We previously reported that particle exposure causes the antigen-sensitized lung to favor a Th2 environment with overproduction of IL-13 and IL-25 (11, 12). However, a comprehensive examination of the mediators produced by particle-stimulated epithelial cells has not been performed.
Proteomics offers a unique means of analyzing the expressed genome, and it has been successfully used to examine the generation of oxidative stress at the cellular level (22). In addition to revealing protein modifications, this approach can also be used to look at changes in protein expression levels (18). In this study, we adopted a proteomics approach to identify the protein changes that occur in epithelial cells in response to exposure to BSA-coated TiO2 particles. Two-dimensional electrophoresis data were validated by RT-PCR, and then the data were also proved using an animal model.
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MATERIALS AND METHODS
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Cell Culture and Stimulation with TiO2 Particles
A human bronchial epithelial cell line (BEAS-2B) was obtained from the American Type Culture Collection (ATCC), Manassas, VA. The cells were maintained in Dulbeccos modified Eagles medium/F-12 Nutrient Mixture Ham containing 10% heat-inactivated fetal bovine serum, penicillin (100 units/ml), and streptomycin (100 µg/ml) at 37 °C in a 5% CO2 incubator. For experimental treatment, the BEAS-2B cells were seeded into T-75 tissue culture flasks (2 x 105 cells/ml) and cultured in RPMI 1640 medium (Invitrogen) supplemented with 10% heat-inactivated fetal bovine serum, penicillin (100 units/ml), and streptomycin (100 µg/ml) at 37 °C under 5% CO2. One day after seeding, the cells were treated with various concentrations of BSA-coated TiO2 particles and then cultured at 37 °C in a humidified CO2 incubator. Fine rutile TiO2 particles (mean diameter = 0.29 µm) were prepared as described previously (12).
Two-dimensional (2-D) Electrophoresis and Image Analysis
BEAS-2B cells were harvested by centrifugation and then disrupted with lysis buffer containing 5 mM Tris-HCl (pH 7.4), 100 mM NaCl, 1% Triton X-100, and 2 mM PMSF. The cell lysate was centrifuged at 12,000 x g for 30 min, and the supernatant fraction was collected. Protein concentrations were determined using a BCA assay kit (Pierce). Immobiline DryStrips (Amersham Biosciences) were used for isoelectric focusing, which was carried out with 1 mg of the extracted protein on an IPGphor system (Amersham Biosciences). After IEF separation, the proteins were separated in the second dimension by SDS-PAGE.
For image analysis, the gels were visualized with Coomassie Brilliant Blue G-250 according to the manufacturers instructions. The 2-D gels were scanned with an ImageScanner (Amersham Biosciences) in transmission mode. Spot detection and matching were performed using ImageMaster 2D version 5.0 (Amersham Biosciences). Digitized images were analyzed using the ImageMaster program to calculate the 2-D spot intensity by integrating the optical density over the spot area (the spot "volume") and normalized. The values were normalized and then exported to SPSS 8.0 for statistical analysis.
Protein Identification by Nano-LC-MS/MS and Database Searching
Differentially expressed protein spots (see "Statistical Analysis" for details) were excised from the 2-D gels, cut into smaller pieces, and digested with trypsin (Promega) as described previously (23). All LC-MS/MS experiments were performed using an Agilent Nanoflow Proteomics Solution featuring an Agilent 1100 Series nano-LC system for MS/MS coupled through an orthogonal nanospray ion source to an Agilent 1100 Series LC/MSD Trap XCT ion trap mass spectrometer. The nano-LC system was operated in sample enrichment/desalting mode with a ZORBAX 300SB-C18 enrichment column (0.3 x 50 mm, 5 µm). Chromatography was performed using a ZORBAX 300SB-C18 (75-µm x 150-mm) nanocolumn. The column was eluted with a gradient beginning with isocratic application of 3% solvent B (0.1% formic acid in acetonitrile) and 97% solvent A (0.1% formic acid in water) for 5 min. The gradient mixture was then changed to 10% B over 5 min (from 5 to 10 min), to 45% B over 40 min (1050 min), to 90% B (isocratic) for 5 min (5560 min), and to 3% B over 1 min (6061 min), and finally the column was washed with 3% B for 10 min.
The LC/MSD Trap XCT was operated in the unique peptide scan auto-MS/MS mode. The ionization mode was positive nanoelectrospray with an Agilent orthogonal source. Drying gas flowed at 5 liters/min at a temperature of 300 °C. Vcap was typically 18001900 V with skim 1 at 30 V, and the capillary exit was offset at 75 V. The trap drive was set at 85 V with averages of one or two. Ion charge control was on with maximum accumulation time of 150 ms, the smart target was 125,000, and the MS scan range was 3002200. Automatic MS/MS was performed in ultrascan mode with the number of parents 2, averages of two, a fragmentation amplitude of 1.15 V, SmartFrag on (30200%), active exclusion on (after two spectra for 1 min), prefer +2 on, MS/MS scan range of 1001800, and ultrascan on. Each acquired MS/MS spectrum was searched against the non-redundant protein sequence database using Spectrum Mill software.
Semiquantitative RT-PCR
Total RNA was isolated from 2 x 107 cultured BEAS-2B cells using TRIzol reagent (Invitrogen) according to the manufacturers instructions. To eliminate genomic DNA from the samples, DNase I treatment (Qiagen) was included in the RNA isolation procedure. The cDNA was prepared using a Superscript II kit (Invitrogen) and used as a template for analysis of gene expression by PCR. Primers and probes were designed for the selected genes using GeneFisher software (53). The following primer sequences (shown 5'
3') were used: glyceraldehyde-3-phosphate dehydrogenase (GAPDH): CGTCT TCACC ACCAT GGAGA (forward) and CGGCC ATCAC GCCAC AGTTT (reverse); transaldolase (TALDO1): CTACA AGGAA GCTGG GATC (forward) and CAACC AACGG AAAGA CTTC (reverse); chloride intracellular channel 1 (CLIC1): CAATG TTACC ACCGT TGAC (forward) and TAGGC ATTGC TCAAG TAC (reverse); macrophage migration-inhibitory factor (MIF): CCATC ATGCC GATGT TC (forward) and CGAAG GTGGA GTTGT TC (reverse). Gene expression was measured in six independent cultures of BEAS-2B cells, and all measurements were performed in duplicate.
Western Blot Analysis of MIF Expression
BEAS-2B cells were cultured in the presence of 20 µg/ml TiO2, carbon black, or diesel exhaust particles for 8 or 48 h. Crude cellular extracts were obtained as described above for 2-D electrophoresis, and Western blot analysis was performed according to the method of Towbin et al. (24). Proteins were fractionated by 15% SDS-PAGE and transferred to a nitrocellulose membrane (Amersham Biosciences). The membrane was blocked for 1 h in PBS containing 1% BSA and then incubated with polyclonal rat anti-human MIF antibody (1:2000 dilution) for 2 h at room temperature. The unbound primary antibodies were removed with three 10-min washes in PBS containing 0.01% (v/v) Nonidet P-40. The membrane was then incubated with peroxidase-conjugated anti-rat IgG (Sigma) for 30 min. ECL detection of MIF was performed according to the manufacturers instructions (Roche Applied Science).
Analysis of MIF Expression in Lung Tissue of TiO2-instilled Rats by Immunohistochemical Staining and EIA
A TiO2-treated rat model was prepared as described in our previous publications (11, 12) using male Sprague-Dawley rats, 7 weeks of age. Rats received 4 mg of TiO2 in 0.2 ml of endotoxin-free water by intratracheal instillation or were sham-treated. Immunohistochemistry was performed to examine the secretion of MIF. Four-micrometer tissue section slides were treated with 0.3% H2O2-methanol for 30 min to block endogenous peroxidase and then incubated with biotinylated anti-goat MIF antibody (1:100 dilution, Santa Cruz Biotechnology, Inc., Santa Cruz, CA) at 4 °C overnight. After washing with Tris-buffered saline the slides were incubated with avidin-biotin peroxidase complex (ABC kit, Vector Laboratory, Burlingame, CA). Color was developed by staining with 3,3'-diaminobenzidine tetrachloride (Zymed Laboratories Inc., San Francisco, CA).
The amount of MIF protein in bronchoalveolar lavage fluid of TiO2- or sham-treated rats was determined by EIA. All EIA procedures were performed according to the manufacturers protocol (Chemicon International, Inc.). Inter- and intra-assay coefficients of variance were less than 10%.
Statistical Analysis
Statistical analysis was performed using SPSS 8.0 software. Differences in spot intensity on 2-D gels were compared between three independent groups or samples using the non-parametric Kruskal-Wallis H test for continuous data. If differences were found significant, the Mann-Whitney U test (two-sample rank sum test) was applied to the differences in densities and MIF concentrations of the two groups. All data were expressed as median values (interquartile range), and significance was defined as p < 0.05.
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RESULTS
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2-D Electrophoresis and Protein Identification
A proteomics approach was used to determine the differential expression of proteins at 8 and 48 h after treatment of a BEAS-2B cell line with 20 µg/ml BSA-coated TiO2 particles. Cytosolic fractions were obtained by differential centrifugation and then separated by 2-D electrophoresis in six replicate gels per treatment. A representative image of the proteomic profile of BEAS-2B cells prior to treatment is shown in Fig. 1. A total of 650 (median, 652; range, 635693) protein spots were detected on each gel. All of the identified spots were localized in the pI 310 range with a molecular mass range of 10150 kDa. This 2-D gel image was used as a master gel and reference map.

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FIG. 1. Two-dimensional electrophoresis of BEAS-2B cell lysate proteins. The 2-D PAGE image from lysates of untreated cells was used as a master gel and reference map. TiO2 treatment caused 20 spots to change by more than 2-fold at 8 or 48 h. Protein spots identified by MALDI-TOF MS (arrow) are marked by their spot numbers.
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2-D PAGE of extracts from TiO2-treated cells revealed 20 spots that changed by more than 2-fold at 8 or 48 h after treatment. These spots were excised from the gel and incubated with trypsin to digest the proteins in the gel, which were then analyzed by LC-MS/MS. The results of this analysis are summarized in Table I.
Cluster Analysis
The expression profiles of the 20 proteins with significant (p < 0.05) differential expression were visualized using a hierarchical clustering algorithm (dCHIP software (54)). Four fundamental profile patterns could be identified from the clusters: continuously increasing (Fig. 2A, group 1), transiently increasing (Fig. 2B, group 2), continuously decreasing (Fig. 2C, group 3), and transiently decreasing (Fig. 2D, group 4). The proteins in each group are summarized in Table I. The H+-transporting ATPase (ATP6V1B2), keratin 6A (K6A), and MIF were included in group 1. The 60-kDa heat-shock protein 1 (HSPD1), the RUVBL2 ATPase/helicase, proliferating cell nuclear antigen (PCNA), TALDO1, and CLIC1 were in group 2. A continuous decrease in MCM7, calpain 1 (CAPN1), ribonuclease/angiogenin inhibitor (RNH1), vimentin (VIM), 26 S proteasome subunit 9 (PSMD9), and actin-related protein was observed in group 3. A transient decrease in PRP19/PSO4 pre-mRNA processing factor 19 homologue (PRP19), ribosomal protein P0 (RPLP0), 27-kDA heat-shock protein 1 (HSPB1), phosphoglycerate mutase 1 (PGAM1), and platelet-activating factor acetylhydrolase, isoform Ib (PAFAH1B3) was observed in group 4.

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FIG. 2. Cluster analysis of 20 proteins with significant differential expression (>2-fold change) at 8 or 48 h caused by TiO2 treatment of BEAS-2B epithelial cells. The expression profiles of the individual proteins were classified by cluster analysis. Protein names (National Center for Biotechnology Information (NCBI)) are displayed for each cluster.
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Expression of MIF mRNA Is Increased by Treatment with TiO2 Particles
The mRNA expression levels of one up-regulated protein (MIF) and two transiently induced proteins (TALDO1 and CLIC1) were evaluated by semiquantitative RT-PCR. The expression of GAPDH mRNA was used as a control. As shown in Fig. 3, MIF mRNA expression was increased at 8 and 48 h after treatment with TiO2 particles. After normalization against GAPDH mRNA expression, the data for TALDO1 and CLCA1 mRNAs did not reveal a significant change.

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FIG. 3. Semiquantitative RT-PCR analysis of TALDO1, CLIC1, and MIF mRNA expression. The levels of mRNA for TALDO1, CLIC1, and MIF were estimated in extracts of BEAS-2B cells stimulated with TiO2 particles (20 µg/105 cells). Expression levels were determined by densitometry and normalized to the level of GAPDH mRNA.
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Identification of MIF-expressing Epithelial Cells in TiO2-treated Rat Lung
To determine whether MIF expression in lung tissue is elevated after in vivo stimulation with TiO2 particles, we instilled TiO2 particles in rats as described previously (11). Expression of MIF protein in intrapulmonary bronchi was examined by immunohistochemical staining. Forty-eight hours after instillation of saline, no MIF protein was detected (Fig. 4A, left), but 48 h after instillation of TiO2 particles, MIF was detected in the epithelial cells of the bronchi and bronchioles (Fig. 4A, right).

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FIG. 4. Expression of MIF in lung tissue of TiO2-treated and sham-treated rats. A, lung tissues from TiO2-treated (lower panels) and sham-treated (upper panels) rats were incubated with biotinylated anti-goat MIF antibody (1:100 dilution). MIF was detected using an avidin-biotin peroxidase complex kit and staining with 3,3'-diaminobenzidine tetrachloride (Zymed Laboratories Inc.) with hematoxylin as a counterstain. MIF protein expression was notably higher in the lung epithelial layer (arrow) from TiO2-treated rats than in that from sham-treated rats. B, Western blot analysis of lung cell extracts from sham- or TiO2-treated rats. MIF expression in lung cells from TiO2-treated rats was higher than in lung cells from sham-treated rats. Scale bars, 100 µm.
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Western blot analysis of homogenates from sham- and TiO2-treated rat lung lysates (100 µg of protein/lane) showed that MIF protein significantly increased in lung from TiO2-treated rats compared with that from untreated rats (Fig. 4B). When MIF concentrations were measured in bronchoalveolar lavage fluid of sham- and TiO2-treated rats using ELISA, they were found to be significantly higher in the latter than in the former (Fig. 5).

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FIG. 5. Comparison of MIF levels in bronchoalveolar lavage fluid from TiO2- and sham-treated rats (n = 8 for each group). Values shown represent the mean ± S.E. of each group.
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Production of MIF Protein by BEAS-2B Cells Stimulated with Different Types of Particles
To ascertain the specificity of the response of epithelial cells to TiO2 particles, BEAS-2B cells were treated with 20 µg/ml TiO2, carbon black, or diesel exhaust particles as stimulants. In Western blots of the cell lysates, the MIF signal intensity increased at 8 and 48 h after stimulation of TiO2, and a similar pattern of change was observed after stimulation with carbon black or diesel exhaust particles (Fig. 6).

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FIG. 6. Western blot detection of MIF protein in cytoplasmic fractions of BEAS-2B cells stimulated with 20 µg/ml of TiO2, carbon black (CB), or diesel exhaust particles (DEP) for 8 and 48 h.
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DISCUSSION
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Although air pollution containing heavy metallic environmental particles increases morbidity and mortality of patients with chronic airway diseases (3, 4), the details of the mechanisms underlying particulate-induced airway obstruction are not understood. Epithelial cells, which are the first type of cells to be exposed to inhaled particles, respond to particulate exposure by producing several cytokines, chemokines, and small molecule mediators, leading to airway inflammation and other physiological changes, (911). However, a clear picture of the overall pattern of the epithelial cell response to particulates is lacking. To better understand the molecular pathogenesis of this response, we adopted a proteomics approach. Using 2-D electrophoresis as a screening tool, we were able to identify several proteins that exhibited differential expression in untreated and TiO2-treated BEAS-2B cells in vitro, and we then validated this result at the transcriptional level and in an in vivo model. We believe that this report is the first to use proteomics to develop a single map showing the proteins differentially expressed in the cytoplasm of epithelial cells after stimulation with particulate matter.
Our previously published (12) and unpublished2 flow cytometry data showed that the value of side scatter indicating endocytosis is maximal at 8 h after TiO2 treatment and returns to base-line levels within 48 h. The optimal concentration of TiO2 for this effect was 20 µg/ml per 105 cells (data not shown). Apoptosis of bronchial epithelial cells occurs at concentrations of at least 10 µg/ml (25). Therefore, we treated 105 BEAS-2B cells for 8 and 48 h with 20 µg/ml TiO2, diesel exhaust, or carbon black particles.
One of the factors that determines the impact of particulates on epithelial cells is oxidative stress (8, 9, 12, 13). Cellular homeostasis depends on the balance between ongoing generation of ROS and antioxidant defenses. When ROS production overwhelms the antioxidant defense system, oxidative stress occurs (26). Oxidative stress can elicit a range of cellular responses with effects ranging from protective to injurious; the more damaging responses include initiation of inflammation and activation of programmed cell death. Particulate exposure is more likely to be cytotoxic to bronchial epithelial cells than to macrophages (25). Interestingly the 20 proteins that we identified as affected by TiO2 particle exposure could reasonably be grouped into three categories based on their known functions: defense-related proteins, cell-activating proteins, and cytoskeletal proteins, all of which could be linked to the response to oxidative stress.
TALDO1, an essential enzyme of the pentose phosphate pathway, generates reducing equivalents to protect cellular integrity from damage due to reactive oxygen intermediates (27). The effect of TiO2 treatment on the expression profile of PGAM1, an enzyme of the glycolysis pathway, was functionally opposite to its effect on that of TALDO1 protein. Eight hours after treatment, TALDO1 expression increased, whereas PGAM1 expression decreased, and 48 h after treatment, the former decreased, and the latter increased. These data suggest that epithelial cells utilize the machinery of gluconeogenesis to protect against the harmful effects of particulates soon after exposure and that the actions of the glycolysis pathway overwhelm gluconeogenesis at later times after exposure.
ATP6V1B2, a component of vacuolar ATPase, mediates acidification of eukaryotic intracellular organelles that are necessary for such intracellular processes as protein sorting, zymogen activation, receptor-mediated endocytosis, and generation of a proton gradient by synaptic vesicles (28). Levels of ATP6V1B2 persistently increased in our study, indicating that at least some of these intracellular processes were actively ongoing.
Levels of the defense-related heat-shock proteins HSPD1 and HSPB1 (29, 30) increased at 8 and 48 h after exposure, respectively. This result may be an indication of enhanced defense against oxidative stress via several different heat-shock proteins. Oxidized protein derivatives generated as a result of oxidative stress tend to aggregate, and accumulation of these aggregates may lead to cell death (31). To prevent this occurrence, the oxidized proteins, as well as modified nucleotides, are selectively recognized and either repaired or degraded by the proteosome pathway (31). Levels of 26 S proteosome subunit 9 (PSMD9) and 26 S proteosome-associated pad1 homologue (32) continuously decreased after stimulation of cells with TiO2 particles, suggesting that certain defense mechanisms may break down after particulate exposure.
CAPN1, VIM, and actin-related protein 2 (ACTR2) are essential for cell structure and motility, playing critical roles in cell migration and differentiation (3335); they also defend cells against oxidative stress (36). The time-dependent decrease of these proteins suggests that epithelial cells lose their intracellular supporting structures after stimulation with TiO2. PCNA, CLIC1, and K6A are induced in response to stressful stimuli such as wounding (37). Because a TiO2 stimulus can induce phenotype changes of goblet or epithelial cells (11), the TiO2-induced increase in these proteins may be understood as part of an overall change in phenotype. The RNH1 and RPLP0 proteins are essential for control of mRNA turnover (38), and the RUVBL2 and MCM7 proteins respond to stress and participate in repair of DNA damage (39, 40). Thus, the observed changes in levels of these proteins after particulate exposure may indicate that the exposure disrupts transcription, translation, and cellular activation.
Based on our proteomic data, we speculate that the proteolysis of oxidized proteins by, or antioxidant activity of, the TALDO1, ATP6V1B2, HSPD1, HSPB1, PSMD9, and POH1 proteins is part of the initial defense against oxidative stress. If these antioxidant and detoxification mechanisms fail to reduce oxidative stress, more damaging responses, including initiation of inflammation and activation of programmed cell death, will occur. Furthermore particle exposure may alter expression of the RNH1, RPLP0, RUVBL2, and MCM7 genes, thus affecting transcription, translation, and cellular activation as part of a healing or apoptotic process. Consequently the epithelial cells may begin to express genes related to phenotype change, such as those for PCNA, CLIC1, and K6A. As all of these processes are taking place, the epithelial cells synthesize inflammatory mediators such as PAFAH1B3 and MIF (41, 42). We have not evaluated whether the alterations in expression of these proteins are specific to particulate exposure. To our knowledge, the present proteomics study provides the first set of advanced and integrated data concerning the response of epithelium to particulates.
Of the 20 proteins we identified, we selected three, TALDO1, MIF, and CLIC1, for closer examination because these proteins are involved in metabolism and inflammation (27, 42, 43). To determine whether the effect of TiO2 particles on expression of these proteins occurs at the level of transcription or translation, we performed semiquantitative RT-PCR to estimate mRNA levels. We found that levels of MIF mRNA were elevated by about 37-fold in TiO2-treated cells as compared with untreated cells (Fig. 3). This result agrees with our results from immunoblotting (Fig. 5) and 2-D electrophoresis. In contrast, mRNA levels for TALDO1 and CLIC1 did not vary with TiO2 treatment (Fig. 4), suggesting that the observed alterations in levels of the TALDO1 and CLIC1 proteins were caused by post-transcriptional changes in stability of TALDO1 and CLIC1 mRNA and/or protein.
Because MIF was reported to be a proinflammatory cytokine that counteracts the anti-inflammatory effect of endogenous glucocorticoids (42, 44), its role in human and experimental asthmatics has been demonstrated. MIF levels in the serum and sputum of human asthmatics were shown to significantly higher than those of age- and sex-matched control subjects (45, 46). In addition, in a genomics study of MIF, both the 173G/C and 794(CATT)58 repeat polymorphisms in the MIF promoter region were associated with altered levels of MIF gene transcription in vitro. Furthermore a case-controlled analysis demonstrated that these promoter polymorphisms exerted a genetic influence on the development of atopy and asthma in a Japanese population (47). Evidence that MIF plays a role in asthma development also has been obtained using ovalbumin-challenged allergic asthma models. Mice with an MIF deficiency caused by either genetic alteration or a neutralizing antibody exhibited less pulmonary inflammation, a lower Th2 immune response, and lower airway hyper-responsiveness than did those of genetically matched, wild-type controls (48, 49).
MIF was once thought to be expressed primarily in peripheral blood and airway eosinophils (45, 46). However, a recent immunohistochemical study revealed positive immunostaining for MIF in bronchial epithelium, even in non-sensitized rats, with enhanced MIF staining occurring after ovalbumin challenge (49). These data are in good agreement with ours in that they indicate that epithelial cells also express MIF. Interestingly MIF has been shown to regulate innate immune responses to endotoxin (50, 51) partly via modulation of toll-like receptor 4 expression (52).
The immunopathogenesis of the particulate model (innate) of airway inflammation has been considered to be quite different from that of the ovalbumin-challenged model (adaptive). To our knowledge, our results provide the first clear demonstration that MIF production in epithelial cells is induced by various kinds of particulates, including carbon black and diesel exhaust particles (Fig. 6). Our MIF data and that from ovalbumin-challenged models (49) suggests that MIF plays an important role as a common inducer of airway inflammation regardless of the type of airway injury.
In summary, we identified 20 proteins whose expression levels in the BEAS-2B cell line changed in response to TiO2 particle exposure. These proteins include defense-related, cell-activating, and cytoskeletal proteins implicated in the response to oxidative stress, and they can be classified into four groups according to the pattern of their TiO2-induced change in expression over time. One of these proteins, MIF, was induced at the transcriptional level by stimulation of cells with any one of three different particulate molecules, and expression of MIF protein was increased in the lungs of TiO2-instilled rats. These results indicate that some of these proteins may serve as mediators of, or markers for, airway disease caused by exposure to PM.
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FOOTNOTES |
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Received, June 21, 2006, and in revised form, August 16, 2006.
Published, MCP Papers in Press, October 6, 2006, DOI 10.1074/mcp.M600234-MCP200
1 The abbreviations used are: PM, particulate matter; TiO2, titanium dioxide; 2-D, two-dimensional; MIF, macrophage migration-inhibitory factor; IL, interleukin; ROS, reactive oxygen species; GAPDH, glyceraldehyde-3-phosphate dehydrogenase; EIA, enzyme immunoassay; PCNA, proliferating cell nuclear antigen; VIM, vimentin. 
2 M.-H. Cha, T. Rhim, K. H. Kim, A.-S. Jang, Y.-K. Paik, and C.-S. Park, unpublished data. 
* This study was supported by Grants 01-PJ10-PG601GN14-0003 and 03-PJ10-PG6-GP01-0002 from the Korean Health 21 Research and Development project of the Ministry of Health and Welfare, Republic of Korea and by Grant R01-2003-000-0041-0 from the Basic Research Program of the Korea Science and Engineering Foundation. The costs of publication of this article were defrayed in part by the payment of page charges. This article must therefore be hereby marked "advertisement" in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. 
Both authors contributed equally to this work. 
¶ To whom correspondence may be addressed: Div. of Allergy and Respiratory Medicine, Dept. of Internal Medicine, Soonchunhyang University Hospital, 1174 Jung-dong, Wonmi-gu, Bucheon-si, Gyeonggi-do 420-767, Republic of Korea. Tel.: 82-32-621-5105; Fax: 82-32-621-5018
** To whom correspondence may be addressed: Div. of Allergy and Respiratory Medicine, Dept. of Internal Medicine, Soonchunhyang University Hospital, 1174 Jung-dong, Wonmi-gu, Bucheon-si, Gyeonggi-do 420-767, Republic of Korea. Tel.: 82-32-621-5105; Fax: 82-32-621-5018; E-mail: mdcspark{at}unitel.co.kr
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REFERENCES
|
|---|
- Dockery, D. W., Pope, C. A., Sr., Xu, X., Spengler, J. D., Ware, J. H., Fay, M. E., Ferris, B. G., Jr., and Speizer, F. E.
(1993) An association between air pollution and mortality in six U.S. cities.
N. Engl. J. Med.
329, 1753
1759[Abstract/Free Full Text]
- Bell, M. L., Samet, J. M., and Dominici, F.
(2004) Time-series studies of particulate matter.
Annu. Rev. Public Health
25, 247
280[CrossRef][Medline]
- Pope, C. A., and Kanner, R. E.
(1993) Acute effects of PM10 pollution on pulmonary function of smokers with mild to moderate chronic obstructive pulmonary disease.
Am. Rev. Respir. Dis.
147, 1336
1340[Medline]
- Schwartz, J., Slater, D., Larson, T. V., Pierson, W. E., and Koenig, J. Q.
(1993) Particulate air pollution and hospital emergency room visits for asthma in Seattle.
Am. Rev. Respir. Dis.
147, 826
831[Medline]
- Schafer, T., and Ring, J.
(1997) Epidemiology of allergic diseases.
Allergy
52, (suppl.)14
22[Medline]
- Pagan, I., Costa, D. L., McGee, J. K., Richards, J. H., and Dye, J. A.
(2003) Metal mimic airway epithelial injury induced by in vitro exposure to Utah Valley ambient particulate matter extracts.
J. Toxicol. Environ. Health A
66, 1087
1112[Medline]
- Seaton, A., MacNee, W., Donaldson, K., and Godden, D.
(1995) Particulate air pollution and acute health effects.
Lancet
345, 176
178[CrossRef][Medline]
- Li, X. Y., Gilmour, P. S., Donaldson, K., and MacNee, W.
(1996) Free radical activity and pro-inflammatory effects of particulate air pollution (PM10) in vivo and in vitro.
Thorax
51, 1216
1222[Abstract]
- Templeton, D. M.
(1994) Titanium, in
Handbook on Metals in Clinical and Analytic Chemistry (Seiler, H. G., Siegel, A., and Siegel, H., eds) pp.627
30, Marcel Dekker, New York
- Garabrant, D. H., Fine, L. J., Oliver, C., Bernstein, L., and Peters, J. M.
(1987) Abnormalities of pulmonary function and pleural disease among titanium metal production workers.
Scand. J. Work Environ. Health
13, 47
51[Medline]
- Ahn, M. H., Kang, C. M., Park, C. S., Park, S. J., Rhim, T., Yoon, P. O., Chang, H. S., Kim, S. H., Kyono, H., and Kim, K. C.
(2005) Titanium dioxide particle-induced goblet cell hyperplasia: association with mast cells and IL-13.
Respir. Res.
6, 34[CrossRef][Medline]
- Kang, C. M., Jang, A. S., Ahn, M. H., Shin, J. A., Kim, J. H., Choi, Y. S., Rhim, T. Y., and Park, C. S.
(2005) Interleukin-25 and interleukin-13 production by alveolar macrophages in response to particles.
Am. J. Respir. Cell Mol. Biol.
33, 290
296[Abstract/Free Full Text]
- Schapira, R. M., Ghio, A. J., Effros, R. M., Morrisey, J., Almagro, U. A., Dawson, C. A., and Hacker, A. D.
(1995) Hydroxyl radical production and lung injury in the rat following silica or titanium dioxide instillation in vivo.
Am. J. Respir. Cell Mol. Biol.
12, 220
226[Abstract]
- Warheit, D. B., Hansen, J. F., Yuen, I. S., Kelly, D. P., Snajdr, S. I., and Hartsky, M. A.
(1997) Inhalation of high concentrations of low toxicity dusts in rats results in impaired pulmonary clearance mechanisms and persistent inflammation.
Toxicol. Appl. Pharmacol.
145, 10
22[CrossRef][Medline]
- Becker, S., Soukup, J. M., Gilmour, M. I., and Devlin, R. B.
(1996) Stimulation of human and rat alveolar macrophages by urban air particulates: effects on oxidant radical generation and cytokine production.
Toxicol. Appl. Pharmacol.
141, 637
648[CrossRef][Medline]
- Fujii, T., Hayashi, S., Hogg, J. C., Vincent, R., and Van Eeden, S. F.
(2001) Particulate matter induces cytokine expression in human bronchial epithelial cells.
Am. J. Respir. Cell Mol. Biol.
25, 265
271[Abstract/Free Full Text]
- Hamilton, R. F., Jr., Holian, A., and Morandi, M. T.
(2004) A comparison of asbestos and urban particulate matter in the in vitro modification of human alveolar macrophage antigen-presenting cell function.
Exp. Lung Res.
30, 147
162[Medline]
- Blackford, J. A., Jr., Jones, W., Dey, R. D., and Castranova, V.
(1997) Comparison of inducible nitric oxide synthase gene expression and lung inflammation following intratracheal instillation of silica, coal, carbonyl iron, or titanium dioxide in rats.
J. Toxicol. Environ. Health
51, 203
218[CrossRef][Medline]
- Li, X. Y., Gilmour, P. S., Donaldson, K., and MacNee, W.
(1997) In vivo and in vitro proinflammatory effects of particulate air pollution (PM10).
Environ. Health Perspect.
105, Suppl. 5,1279
1283
- Churg, A., Gilks, B., and Dai, J.
(1999) Induction of fibrogenic mediators by fine and ultrafine titanium dioxide in rat tracheal explants.
Am. J. Physiol.
277, L975
L982
- van Eeden, S. F., Tan, W. C., Suwa, T., Mukae, H., Terashima, T., Fujii, T., Qui, D., Vincent, R., and Hogg, J. C.
(2001) Cytokines involved in the systemic inflammatory response induced by exposure to particulate matter air pollutants (PM(10)).
Am. J. Respir. Crit. Care Med.
164, 826
830[Abstract/Free Full Text]
- Xiao, G. G., Wang, M., Li, N., Loo, J. A., and Nel, A. E.
(2003) Use of proteomics to demonstrate a hierarchical oxidative stress response to diesel exhaust particle chemicals in a macrophage cell line.
J. Biol. Chem.
278, 50781
50790[Abstract/Free Full Text]
- Shevchenko, A., Wilm, M., Vorm, O., and Mann, M.
(1996) Mass spectrometric sequencing of proteins in silver-stained polyacrylamide gels.
Anal. Chem.
68, 850
858[Medline]
- Towbin, H., Staehelin, T., and Gordon, J.
(1979) Electrophoretic transfer of proteins from polyacrylamide gels to nitrocellulose sheets: procedure and some applications.
Proc. Natl. Acad. Sci. U. S. A.
76, 4350
4354[Abstract/Free Full Text]
- Li, N., Wang, M., Oberley, T. D., Sempf, J. M., and Nel, A. E.
(2002) Comparison of the pro-oxidative and proinflammatory effects of organic diesel exhaust particle chemicals in bronchial epithelial cells and macrophages.
J. Immunol.
169, 4531
4541[Abstract/Free Full Text]
- Bowler, R. P., and Crapo, J. D.
(2002) Oxidative stress in allergic respiratory diseases.
J. Allergy Clin. Immunol.
110, 349
356[CrossRef][Medline]
- Banki, K., Hutter, E., Gonchoroff, N. J., and Perl, A.
(1998) Molecular ordering in HIV-induced apoptosis. Oxidative stress, activation of caspases, and cell survival are regulated by transaldolase.
J. Biol. Chem.
273, 11944
11953[Abstract/Free Full Text]
- Nishi, T., and Forgac, M.
(2002) The vacuolar (H+)-ATPasesnatures most versatile proton pumps.
Nat. Rev. Mol. Cell. Biol.
3, 94
103[CrossRef][Medline]
- Alexandrov, P. N., Zhao, Y., Pogue, A. I., Tarr, M. A., Kruck, T. P., Percy, M. E., Cui, J. G., and Lukiw, W. J.
(2005) Synergistic effects of iron and aluminum on stress-related gene expression in primary human neural cells.
J. Alzheimers Dis.
8, 117
127[Medline]
- Pfister, G., Stroh, C. M., Perschinka, H., Kind, M., Knoflach, M., Hinterdorfer, P., and Wick, G.
(2005) Detection of HSP60 on the membrane surface of stressed human endothelial cells by atomic force and confocal microscopy.
J. Cell Sci.
118, 1587
1594[Abstract/Free Full Text]
- Poppek, D., and Grune, T.
(2006) Proteasomal defense of oxidative protein modifications.
Antioxid. Redox Signal.
8, 173
184[CrossRef][Medline]
- Yao, T., and Cohen, R. E.
(2002) A cryptic protease couples deubiquitination and degradation by the proteasome.
Nature
419, 403
407[CrossRef][Medline]
- Potter, D. A., Tirnauer, J. S., Janssen, R., Croall, D. E., Hughes, C. N., Fiacco, K. A., Mier, J. W., Maki, M., and Herman, I. M.
(1998) Calpain regulates actin remodeling during cell spreading.
J. Cell Biol.
141, 647
662[Abstract/Free Full Text]
- Eckes, B., Colucci-Guyon, E., Smola, H., Nodder, S., Babinet, C., Krieg, T., and Martin, P.
(2000) Impaired wound healing in embryonic and adult mice lacking vimentin.
J. Cell Sci.
113, 2455
2462[Abstract]
- Machesky, L. M., Reeves, E., Wientjes, F., Mattheyse, F. J., Grogan, A., Totty, N. F., Burlingame, A. L., Hsuan, J. J., and Segal, A. W.
(1997) Mammalian actin-related protein 2/3 complex localizes to regions of lamellipodial protrusion and is composed of evolutionarily conserved proteins.
Biochem. J.
328, 105
112
- Dalle-Donne, I., Rossi, R., Milzani, A., Di Simplicio, P., and Colombo, R.
(2001) The actin cytoskeleton response to oxidants: from small heat shock protein phosphorylation to changes in the redox state of actin itself.
Free Radic. Biol. Med.
31, 1624
1632[CrossRef][Medline]
- Wojcik, S. M., Bundman, D. S., and Roop, D. R.
(2000) Delayed wound healing in keratin 6a knockout mice.
Mol. Cell. Biol.
20, 5248
5255[Abstract/Free Full Text]
- Zneimer, S. M., Crawford, D., Schneider, N. R., and Beutler, B.
(1990) Mapping of the human ribonuclease inhibitor gene (RNH) to chromosome 11p15 by in situ hybridization.
Genomics
8, 175
178[CrossRef][Medline]
- Cho, S. G., Bhoumik, A., Broday, L., Ivanov, V., Rosenstein, B., and Ronai, Z.
(2001) TIP49b, a regulator of activating transcription factor 2 response to stress and DNA damage.
Mol. Cell. Biol.
21, 8398
8413[Abstract/Free Full Text]
- Tsao, C. C., Geisen, C., and Abraham, R. T.
(2004) Interaction between human MCM7 and Rad17 proteins is required for replication checkpoint signaling.
EMBO J.
23, 4660
4669[CrossRef][Medline]
- Nothwang, H. G., Kim, H. G., Aoki, J., Geisterfer, M., Kubart, S., Wegner, R. D., van Moers, A., Ashworth, L. K., Haaf, T., Bell, J., Arai, H., Tommerup, N., Ropers, H. H., and Wirth, J.
(2001) Functional hemizygosity of PAFAH1B3 due to a PAFAH1B3-CLK2 fusion gene in a female with mental retardation, ataxia and atrophy of the brain.
Hum. Mol. Genet.
10, 797
806[Abstract/Free Full Text]
- Bernhagen, J., Calandra, T., Mitchell, R. A., Martin, S. B., Tracey, K. J., Voelter, W., Manogue, K. R., Cerami, A., and Bucala, R.
(1993) MIF is a pituitary-derived cytokine that potentiates lethal endotoxaemia.
Nature
365, 756
759[CrossRef][Medline]
- Valenzuela, S. M., Martin, D. K., Por, S. B., Robbins, J. M., Warton, K., Bootcov, M. R., Schofield, P. R, Campbell, T. J., and Breit, S. N.
(1997) Molecular cloning and expression of a chloride ion channel of cell nuclei.
J. Biol. Chem.
272, 12575
12582[Abstract/Free Full Text]
- Calandra, T., Bernhagen, J., Metz, C. N., Spiegel, L. A., Bacher, M., Donnelly, T., Cerami, A., and Bucala, R.
(1995) MIF as a glucocorticoid-induced modulator of cytokine production.
Nature
377, 68
71[CrossRef][Medline]
- Rossi, A. G., Haslett, C., Hirani, N., Greening, A. P., Rahman, I., Metz, C. N., Bucala, R., and Donnelly, S. C.
(1998) Human circulating eosinophils secrete macrophage migration inhibitory factor (MIF). Potential role in asthma.
J. Clin. Investig.
101, 2869
2874[Medline]
- Yamaguchi, E., Nishihira, J., Shimizu, T., Takahashi, T., Kitashiro, N., Hizawa, N., Kamishima, K., and Kawakami, Y.
(2000) Macrophage migration inhibitory factor (MIF) in bronchial asthma.
Clin. Exp. Allergy
30, 1244
1249[CrossRef][Medline]
- Hizawa, N., Yamaguchi, E., Takahashi, D., Nishihira, J., and Nishimura, M.
(2004) Functional polymorphisms in the promoter region of macrophage migration inhibitory factor and atopy.
Am. J. Respir. Crit. Care Med.
169, 1014
1018[Abstract/Free Full Text]
- Mizue, Y., Ghani, S., Leng, L., McDonald, C., Kong, P., Baugh, J., Lane, S. J., Craft, J., Nishihira, J., Donnelly, S. C., Zhu, Z., and Bucala, R.
(2005) Role for macrophage migration inhibitory factor in asthma.
Proc. Natl. Acad. Sci. U. S. A.
102, 14410
14415[Abstract/Free Full Text]
- Kobayashi, M., Nasuhara, Y., Kamachi, A., Tanino, Y., Betsuyaku, T., Yamaguchi, E., Nishihira, J., and Nishimura, M.
(2006) Role of macrophage migration inhibitory factor in ovalbumin-induced airway inflammation in rats.
Eur. Respir. J.
27, 726
734[Abstract/Free Full Text]
- Roger, T., David, J., Glauser, M. P., and Calandra, T.
(2001) MIF regulates innate immune responses through modulation of toll-like receptor 4.
Nature
414, 920
924[CrossRef][Medline]
- Poltorak, A., He, X., Smirnova, I., Liu, M. Y., Huffel, C. V., Du, X., Birdwell, D., Alejos, E., Silva, M., Galanos, C., Freudenberg, M., Ricciardi-Castagnoli, P., Layton, B., and Beutler, B.
(1998) Defective LPS signaling in C3H/HeJ and C57BL/10ScCr mice: mutations in Tlr4 gene.
Science
282, 2085
2088[Abstract/Free Full Text]
- Qureshi, S. T., Lariviere, L., Leveque, G., Clermont, S., Moore, K. J., Gros, P., and Malo, D.
(1999) Endotoxin-tolerant mice have mutations in Toll-like receptor 4 (Tlr4).
J. Exp. Med.
189, 615
625[Abstract/Free Full Text]
- Giegerich, R., Meyer, F., and Schleiermacher, C.
(1996) GeneFishersoftware support for the detection of postulated genes.
Proc. Int. Conf. Intell. Syst. Mol. Biol.
4, 68
77[Medline]
- Li, C., and Wong, W. H.
(2001) Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection.
Proc. Natl. Acad. Sci. U. S. A.
98, 31
36[Abstract/Free Full Text]

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