Abstract
Ozone pollution is associated with adverse effects on respiratory health in adults and children but its effects on the neonatal lung remain unknown. This study was carried out to define the effect of acute ozone exposure on the neonatal lung and to profile the transcriptome response. Newborn mice were exposed to ozone or filtered air for 3h. Total RNA was isolated from lung tissues at 6 and 24h after exposure and was subjected to microarray gene expression analysis. Compared to filtered air-exposed littermates, ozone-exposed newborn mice developed a small but significant neutrophilic airway response associated with increased CXCL1 and CXCL5 expression in the lung. Transcriptome analysis indicated that 455 genes were down-regulated and 166 genes were up-regulated by at least 1.5-fold at 6h post-ozone exposure (t-test, p < .05). At 24h, 543 genes were down-regulated and 323 genes were up-regulated in the lungs of ozone-exposed, compared to filtered air-exposed, newborn mice (t-test, p < .05). After controlling for false discovery rate, 50 genes were identified as significantly down-regulated and only a few (RORC, GRP, VREB3, and CYP2B6) were up-regulated at 24h post-ozone exposure (q < .05). Gene ontology enrichment analysis revealed that cell cycle-associated functions including cell division/proliferation were the most impacted pathways, which were negatively regulated by ozone exposure, an adverse effect that was associated with reduced bromo-deoxyuridine incorporation. These results demonstrate that acute ozone exposure alters cell proliferation in the developing neonatal lung through a global suppression of cell cycle function.
Key Words: ozone, neonatal lung, gene expression.
Ozone (O3) is a common urban air pollutant generated through chemical reactions of nitrogen oxides and volatile organic compounds in the presence of heat and UV sunlight. O3 is a highly reactive and insoluble gas that can be inhaled from polluted air environment and causes many adverse effects on respiratory health, including alterations in the structure of the airway epithelium, increased sensitivity to inhaled allergens, increased airway inflammation, and altered lung function (Mar and Koenig, 2009; Romieu et al., 2002; Strickland et al., 2010).
Young children are particularly vulnerable to developing adverse respiratory health effects from O3 exposure due to higher ventilation rates, potentially leading to higher doses of inhaled O3 during exposure. Infants are also highly susceptible and at risk of developing respiratory symptoms even with low levels of O3 exposure, particularly if their mothers have asthma (Triche et al., 2006). In addition, their lungs are still incompletely developed, with up to 80% of alveolarization occurring after birth (Dietert et al., 2000; Pinkerton and Joad, 2000), and damage to the lung during this window of development may potentially have long-term negative impacts on their respiratory health. Differential sensitivity of developing lungs to environmental pollutants may also be explained by differences in the maturation of inflammatory and defense mechanisms, as indicated by experimental data from animal studies (Gabehart et al., 2011, Holladay and Smialowicz, 2000; Johnston et al., 2000a, 2004, 2006; Vancza et al., 2009).
In the pediatric population, high ambient O3 levels are widely associated with an increase in asthma-related emergency department visits (Babin et al., 2007; Strickland et al., 2011; White et al., 1994). Even mildly elevated O3 levels over longer periods can increase asthma exacerbation and attacks (Akinbami et al., 2010). Exposure to air pollution, especially during the postnatal lung development period can damage the airways which may subsequently lead to a deficit in lung function (Finkelstein and Johnston, 2004; Pinkerton and Joad, 2000; Plopper and Fanucchi, 2000). Epidemiological studies have demonstrated a correlation between high ambient O3 levels and lower lung function in young adults (Tager et al., 2005), but there remain conflicting results regarding long-term effects of O3 exposure. Intermittent, cyclical exposure to O3 was shown to alter the development of distal airways in infant rhesus monkeys (Fanucchi et al., 2006). Nonetheless, our understanding of the effects of O3 on the developing neonatal lung remains incomplete. This study was carried out to characterize the response of the newborn lung to acute O3 exposure and to profile the transcriptome response using whole-genome expression analysis. Acute O3 exposure induced a low-grade neutrophilic airway inflammation with limited tissue-damage in the neonatal mouse lung. Analysis of the lung transcriptome demonstrates that the most predominant impact of O3 on the developing neonatal lung was a global suppression of functional genes involved in cell cycle, cell division, cellular assembly and organization, an adverse effect that was associated with reduced cell proliferation in the lung.
MATERIALS AND METHODS
This study was carried out in accordance with the recommendations of the National Institutes of Health Guide for the Care and Use of Laboratory Animals. All experiments were carried out under a protocol approved by the Institutional Animal Care and Use Committee at National Jewish Health. All surgery was performed under terminal anesthesia with pentobarbital.
The microarray data from this study have been submitted to Gene Omnibus. Submission link: (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?token=vnanfmqkuwaqonc&acc=GSE45166).
General experimental design.
Three-day old BALB/c mice were exposed with their dams to 1000 ppb O3 for 3h. Because the lungs are growing rapidly during this early postnatal phase, littermates were used as controls for filtered air (FA) exposure to ensure similar postnatal development age for both groups. Thus, while half the litters were exposed with their dams to O3, the other half (age-matched controls) were fostered by other dams and exposed together to FA. Exposure of pups with nursing dams was designed to avoid potential effect of stress that could be caused by mother/infant separation during the exposure. Immediately after exposure, the FA pups were returned to their original dams to maintain the same nursing habits and to control for potential confounding effects of pups feeding from ozone-exposed dams. Samplings were carried out immediately after euthanasia, at 6 and 24h following completion of exposure. These time points were selected from preliminary experiments with adult (6-week old) BALB/c mice showing peak responses for neutrophilic influx at 6h and maximum albumin leakage at 24h following completion of 3h exposure to 1000 ppb (data not shown).
After euthanasia, the neonatal lungs were lavaged and processed for histology. Inflammation was examined by counting the number of inflammatory cells recovered in the bronchoalveolar lavage (BAL) fluid. Pulmonary injury was assessed by measuring the concentration of albumin in the recovered BAL fluids and by histological examination of airway tissue. Neutrophilic chemokine expression and antioxidant gene response were assessed by real-time quantitative polymerase chain reaction (rt-qPCR). Whole lungs without lavage were used for RNA isolation and transcriptome analysis. Changes in gene expression were confirmed by rt-qPCR for selected genes. In separate experiments, bromodeoxyuridine (BrdU) was injected to the animals 3h before euthanasia to assess the effect of O3 on cell proliferation in vivo, confirming that the global suppression of cell cycle genes detected by transcriptome analysis translated into a decrease in lung cell proliferation.
Animals.
Adult (6–8 weeks old) BALB/c mice were obtained from The National Cancer Institute Mouse Repository (Frederick, MD). BALB/c mice were shown to be one of the most sensitive strains to O3 (Vancza et al., 2009). Mice were bred and maintained under pathogen-free conditions at the Biological Resource Center of National Jewish Health. The study was under a protocol approved by the Institutional Animal Care and Use Committee at National Jewish Health.
Exposures.
Three-day old newborn BALB/c mice were exposed to 1000 ppb O3 or FA for 3h in stainless steel wire cages. O3 exposures were performed as previously described (Park et al., 2004). Cages were set inside a 240-l laminar flow inhalation chamber. HEPA-filtered room air was passed through the chamber at 100 l per min. O3 was generated by passing compressed medical-grade oxygen through an electrical discharge ozone generator (Sander Ozonizer, Model 25; Erwin Sander Elektroapparatebau GmbH, Uetze-Eltze, Germany). The O3-air mixture was metered into the inlet air stream with mass flow controllers (Model #1359C; MKS Instruments, Inc., Andover, MA). Ozone concentrations were continuously monitored within the chamber with a photometric ozone analyzer (Model 400A; Advanced Pollution Instrumentation, Inc., San Diego, CA) and were recorded on a strip-chart recorder. Calibration of the ozone analyzer was performed by the Colorado Department of Public Health and Environment (Denver, CO). Chamber temperature was maintained at 20–25°C.
BAL, cell counting and measurement of albumin levels.
BAL was performed at 6 and 24h after completion of exposure to O3 or FA. Mice were euthanized by intraperitoneal injection of pentobarbital (Nembutal, 100mg/kg body weight), the trachea was cannulated with a 25G blunt-end needle, and the lungs were lavaged via the cannula with 150 µl of phosphate-buffered saline (PBS). The recovered BAL fluids were centrifuged at 485 × g for 5min at 4°C. Supernatants were collected and stored at −80°C until needed for subsequent analyses. Cells in the pellet were suspended in 100 µl PBS and total numbers were determined by counting on ABC Vet hematology analyzer (Block Scientific, Bohemia, NY). Differential cell counts were determined by standard hematological procedures, counting different cell types on cytospin preparations of BAL cells stained with Leukostat (Fisher Diagnostics, Pittsburgh, PA). Albumin levels in the BAL fluids were quantified used a mouse-specific ELISA (Bethyl Laborotories, Montgomery, TX).
Lung tissue processing for histology.
For histology, the lungs were inflated in situ with 4% paraformaldehyde in phosphate-buffered saline (PBS) administered through the tracheal cannula at a 20-cm static fluid pressure. Briefly, the trachea was cut open in the most proximal region close to the pharynx. The cannula, consisting of 25G blunt needle, was inserted into the trachea just enough (about 2–3mm deep) to secure it in place with a 4-0 silk suture (Kent scientific Corp., Torrington, CT). The fixative was placed in a 50-ml syringe, with a 30-cm long flexible tube (Tygon tubing, 2.4-mm internal diameter, Fisher Scientific) connecting the syringe to a 2-way stopcock. The fixative was allowed to flow through the tubing to remove air, after which the stopcock was closed and connected to the cannula. The syringe was then elevated so that the top level of the fixative inside the syringe is at a height of 20-cm above the level of the mouse trachea. Finally, the stopcock was opened allowing the fixative to fill the lung by static gravity. The instillation was maintained for 5min after which, the stopcock was closed, and the trachea was tied up and cut below the insertion position of the cannula. The lungs were removed and immersed in the same fixative for 24-h fixation at 4°C, followed by dehydration in graded ethanols, clearing in xylene and embedding in paraffin. Five-micron tissue sections were cut from the paraffin blocs, deparaffinized, rehydrated, and stained with hematoxylin and eosin.
Tissue processing for electron microscopy.
For electron microscopy, the trachea was dissected and fixed for 24h at 4°C with glutaraldehyde (1.5% in 0.1M cacodylate buffer, pH 7.2), washed in cacodylate buffer and post-fixed for 1h at room temperature in osmium tetroxide (1% in cacodylate buffer). The fixed tissues were then dehydrated, infiltrated with araldite and embedded in the same resin. Ultrathin tissue sections were cut on a LKB Ultramicrotome using a diamond knife. The sections were stained with uranyl acetate and contrasted with lead citrate. Sections were examined under JEOL 1200 transmission electron microscope.
Lung tissue harvest and mRNA extraction.
Mice exposed exclusively for microarray gene expression analyses were not subjected to bronchoalveolar lavage to avoid eliminating resident alveolar cells including alveolar macrophages and potentially detached epithelial cells, which may also express genes of interest. Mice were euthanized by intraperitoneal injection of pentobarbital (Nembutal, 150mg/kg body weight). Blood was drained by severing the aorta and whole lungs were collected, placed in RNAlater (Qiagen), and stored at 4°C until extraction. Total RNA was extracted using TRIzol RNA isolation reagent (Invitrogen, Carlsbad, CA) and cleaned up using miRCURY RNA Isolation Kit (Exiqon, Woburn, MA) following the manufacturers’ instructions. RNA concentration and purity were examined by spectrophotometry with a NanoDrop ND-100 Spectrophotometer (NanoDrop, Willington, DE). RNA quality was assessed using Agilent 2100 Bioanalyzer (Agilent Technologies, Santa Clara, CA). RNA integrity values ranged between 8.6 and 9.1, and 28S/18S ratios ranged between 1.0 and 1.4.
Gene expression microarrays.
Four individual lungs were randomly selected from each group (O3, FA) and time point (6h, 24h) for use in gene expression analysis. Processing of the microrrays and quality control tests were performed by the Center for Genes, Environment and Health, at National Jewish Health (Denver, CO). Microarray analysis was performed using Whole Mouse Genome Gene Expression 4X44K Microarrays (G2519F-014868, Agilent Technologies). Each array contains probes for 39,430 Entrez Gene RNAs. Labeling was performed using the Quick-Amp Labeling Kit (5190-0442, Agilent Technologies). For all samples, first strand cDNA was transcribed from 600 to 1000ng of total RNA using a T7-Oligo(dT) promoter primer. Subsequent synthesis of cRNA generated between 7.0 and 22.0ng of Cy-3 labeled cRNA. Unincorporated nucleotides were removed from the labeled cRNA using RNeasy spin columns (Qiagen). Quality control parameters (cRNA yield and specific activity of labeled RNA) were assessed using the NanoDrop 1000 (Thermo Scientific) as recommended by Agilent Technologies. Labeled cRNA was fragmented and 1.65 micrograms from each sample were hybridized to each array using the Hybridization Kit (Agilent Technologies). Hybridization was performed at 65°C for 17h with constant rotation. Arrays were washed in a two-step process using buffers from Agilent Technologies. Arrays were scanned in a G2505B scanner (Agilent Technologies) and images were processed using Agilent Feature Extraction software. All arrays passed QC as assessed by the manufacturer’s established metrics.
Gene expression analysis.
Analysis of datasets was performed using Partek Genomics Suite software (Partek, Inc., St Louis, MO). To minimize non-biological variability across and within array samples the raw data were log2 transformed and quantile normalized. Student’s t-test p-values were determined and multiple comparison error was corrected for using the Benjamini and Hochberg step-up procedure for multiple comparisons to determine significance at a false discovery rate of 5% (q < 0.05) (Benjamini and Hochberg, 1995).
Gene ontology enrichment analysis.
Functional analysis was performed by gene ontology (GO) enrichment using Partek Genomics Suite software. Molecules from the dataset were annotated with GO terms and statistical analysis of enriched biological function groups was determined with Fisher’s exact test.
Pathway analysis.
Gene expression pathways were analyzed and mapped using the Ingenuity Knowledge Base (Ingenuity Systems, www.ingenuity.com). The network molecules associated with biological functions in the Ingenuity Knowledge Base were considered for analysis. Functional analysis identified most significant biological functions within the network. Right-tailed Fisher’s exact test was used to determine the probability that each biological function assigned to a network is due to chance alone.
Real-time qPCR.
To confirm and further explore differential mRNA expression in the postnatal lung exposed to O3, rt-qPCR was performed for selected genes. RNA was converted to cDNA with M-MLV Reverse Transcriptase (Promega, Madison, WI). Taqman Gene Expression Assays for various genes and Taqman Universal PCR Master Mix (Life Technologies, Grand Island, NY) were used to perform rt-qPCR on an ABI Prism Model 7000 Real Time PCR machine.
Bromodeoxyuridine incorporation and analysis of cell proliferation.
To assess cell proliferation in the lung, mice were injected intraperitoneally with the thymidine analog bromodeoxyuridine (BrdU, 100mg/kg in 10 µl PBS/g of body weight) 3h prior to euthanasia. The lungs were inflated at 20cm pressure with 4% paraformaldehyde through a tracheal cannula, fixed at 4°C for 24h, and rinsed with PBS. The left lobe was rotated to a 90° angle relative to the right lobes, and the entire lung was embedded in 4% agarose with random positioning as described in Knust et al. (2009). The agarose-embedded lungs were then serially cut into 1.2-mm thick longitudinal slices. The slices were dehydrated, cleared and embedded in paraffin. Serial tissue sections were cut on the microtome at 5-µm thickness, deparaffinized and rehydrated. Bromodeoxyuridine was detected in tissue by immunohistochemistry as follows. After quenching endogenous peroxidase with 3% H2O2 for 10min, the sections were incubated in 2 N HCl for 30min at 37°C to denature DNA, followed by incubation with pepsin (Scytek Laboratories, Logan, UT) for 10min at 37°C to retrieve antigen and washed with 50mM Tris-buffered saline, pH 7.6 (TBS). After blocking non-specific background by 15-min incubation with 5% normal goat serum, the sections were incubated for 2h at 37°C with a mouse monoclonal anti-BrdU antibody (DAKO, Carpinteria, CA), washed with TBS and further incubated for 30min at room temperature with ImmPRESS Anti-Mouse Ig (peroxidase) Polymer Detection kit (Vector Laboratories, Burlingame, CA), followed by washing in TBS and development with DAB substrate. Stained serial tissue sections were scanned at 20× magnification on Aperio ScanScope XT slide scanner (Aperio, Vista, CA) and digital images were transferred to the computer for quantitative analysis of proliferating cells by unbiased stereology using Stereo Investigator Pulmonary Edition software (MBF Bioscience, Williston VT). Proliferating cells were identified as cells with BrdU-positive nuclei. Data are presented as numbers of BrdU-positive cells per volume of tissue analyzed.
Statistical analysis.
Microarray data were analyzed using Partek Genomics Suite software. Statistical differences in gene expression between ozone and filtered air groups were determined by Student’s t-test (p < .05). The Benjamini–Hochberg procedure was further applied to limit false discovery rate to 5% (q ≤ .05). For gene ontology and pathway analyses, statistical significance was determined with Fisher’s exact test (p ≤ .05). Data from BAL cell counts, ELISA, and RT-qPCR were analyzed using GrahPad Prism version 5.0 for Mac OS X (GraphPad Software, San Diego, CA). Difference between the groups was determined by Student’s t-test or Mann–Whitney U test. For more than two groups, one-way ANOVA was used followed by Tukey’s multiple comparisons to determine statistical difference. Statistical difference was defined by a p value <.05.
RESULTS
Effect of O3 Exposure on the Newborn Mouse Lung
Acute exposure of newborn mice to O3 for 3h resulted in the development of mild but significant airway neutrophilia that peaked at 6h after exposure (Fig. 1A). No significant change was observed in macrophage or lymphocyte numbers (Figs. 1B and 1C), and albumin levels in the recovered BAL fluid were not significantly altered after O3 exposure (Fig. 1D). Associated with the influx of neutrophils, there was a significant increase in mRNA expression for the neutrophilic chemokines CXCL1 and CXCL5 in the lung of O3-exposed mice (Figs. 1E and 1F), whereas CXCL2 mRNA expression was not altered (data not shown). O3 exposure also induced an antioxidant response in the newborn lung, as indicated by a significant increase in mRNA expression for metallothionein-1 (MT-1) and heme oxygenase-1 (Hmox-1) (Figs. 1G and 1H).
FIG. 1.
Effect of acute O3 exposure on neonatal lung. Newborn mice were exposed for 3h to FA or O3. Analyses were carried out at 6 and 24h after completion of exposure. Numbers of neutrophils (A), macrophages (B) and lymphocytes (C), and albumin levels (D) were determined in the BAL fluid. Expression of neutrophilic chemokines, CXCL-1 (E) and CXCL-5 (F), and antioxidant response genes, MT-1 (G) and Hmox-1 (H), were assessed in lung tissue by RT-qPCR.
Histological examination of paraffin-embedded lung tissue did not reveal any significant damage or loss of epithelial cells, as determined by lack of epithelial detachment or denudation, in the neonatal lungs after acute O3 exposure (Fig. 2B). However, when tracheal tissue was examined by electron microscopy (Figs. 2C–E), significant alterations in the epithelial structure were detected in O3-exposed newborn mice. Most notably, the intercellular space between epithelial cells was clearly enlarged especially in the baso-lateral side (Fig. 2D, arrows), and a complete gap could be observed between 2 adjacent epithelial cells in the trachea of O3-exposed mice (Fig. 2E, asterisk).
FIG. 2.
Histological appearance of newborn airway tissue after acute exposure to O3 and FA. Newborn lungs were examined 6h after exposure to FA or O3. A and B, Paraffin-embedded lung tissue sections from newborn mice exposed to FA (A) or O3 (B) were stained with hematoxylin and eosin. C and E, Electron microscopy photomicrographs showing the appearance of tracheal epithelium after acute exposure to FA (C) or O3 (D and E). Note the enlarged intercellular space (D, Arrows) and the open gap between adjacent epithelial cells (E, Asterisk) produced in the epithelium after O3 exposure.
Global Gene Expression Patterns in the Newborn Lung After O3 Exposure
In the postnatal period, the lung develops rapidly and changes in transcriptome are expected to occur in a short window of time. Accordingly, we carefully designed this study using age-matching littermates as controls for FA exposure to specifically identify the changes induced by O3, distinguishing them from those changes that occur naturally as result of normal lung development. When the effect of O3 exposure was analyzed, a 1.5-fold change in gene expression in the O3 group relative to the FA group was set as a cutoff value for identification of differentially expressed genes with a p-value of 0.05 (Student’s t-test). In total, 621 genes and 866 genes were differentially expressed at 6 and 24h, respectively, in the lungs of O3-exposed newborn mice compared with FA-exposed newborn mice. As illustrated in Venn diagrams, the total number of genes down-regulated by O3 was 455 at 6h and 543 at 24h after exposure (Fig 3A). Among these, 77 genes were down-regulated at both time points. In parallel, the total number of genes up-regulated by O3 was 166 at 6h and 323 at 24h after exposure; including 7 genes that were up-regulated at both time points (Fig. 3B).
FIG. 3.
Number of genes altered in the newborn lung after O3 exposure. Venn diagrams showing numbers of genes differentially expressed in the neonatal lung at 6h (left circle), 24h (right circle), or at both time points (intersection) following O3 exposure. A, Genes down-regulated in expression by at least 1.5-fold relative to FA controls (t-test, p < .05). B, Genes up-regulated in expression by at least 1.5-fold relative to FA controls (t-test, p < .05).
Top List of Differentially Expressed Genes
Based on Student’s t-test analysis, a total of 621 genes that were differentially expressed at 6h post exposure with a p-value of less than .05 in the O3 group. However, after controlling for false discovery rate (FDR) using the Benjamini–Hochberg procedure for multiple comparisons, none of these genes qualified as significantly altered in expression based on a conservative FDR set at 5% (q < .05). At best, only 40 genes were displayed with a less conservative FDR cutoff value of 15% (Table 1). Among these genes, 11 were up-regulated and 29 were down-regulated at 6h post O3 exposure (q < .15). Nevertheless, hierarchical clustering analysis performed with this probe set clearly distinguished O3-exposed from FA-exposed mice (Fig. 4A).
TABLE 1.
Top List of Genes Differentially Expressed in Newborn Lung at 6h After O3 Exposurea
| Agilent Probeset ID | Gene Name | Fold Change | p-Value | FDR |
|---|---|---|---|---|
| A_51_P318262 | HAO1 | 2.68 | 1.40E-04 | 0.129 |
| A_51_P333929 | COL25A1 | 2.00 | 5.20E-04 | 0.147 |
| A_51_P271200 | Slco1a5 | 1.98 | 2.30E-04 | 0.137 |
| A_52_P249965 | XDH | 1.84 | 7.50E-05 | 0.129 |
| A_52_P448045 | TSPAN18 | 1.68 | 1.10E-04 | 0.129 |
| A_51_P189361 | OSGIN1 | 1.68 | 5.30E-04 | 0.147 |
| A_51_P486810 | GPX2 | 1.60 | 2.60E-04 | 0.14 |
| A_51_P451574 | Acot1 | 1.56 | 2.20E-04 | 0.137 |
| A_51_P507359 | WBSCR27 | 1.52 | 4.00E-04 | 0.147 |
| A_52_P13109 | ALDH2 | 1.51 | 4.90E-04 | 0.147 |
| A_51_P351872 | SLC6A9 | 1.50 | 5.50E-04 | 0.148 |
| A_52_P27918 | ATAD5 | −1.50 | 9.80E-05 | 0.129 |
| A_51_P202857 | Cdca7 | −1.51 | 2.20E-05 | 0.114 |
| A_51_P116289 | FAM54A | −1.51 | 4.60E-04 | 0.147 |
| A_51_P107321 | OXCT1 | −1.52 | 2.90E-04 | 0.141 |
| A_51_P297968 | PDIA6 | −1.53 | 2.20E-05 | 0.114 |
| A_51_P424810 | NCAPG2 | −1.54 | 2.70E-04 | 0.14 |
| A_51_P213359 | HAS2 | −1.54 | 5.30E-04 | 0.147 |
| A_51_P475523 | BRCA1 | −1.57 | 2.80E-04 | 0.141 |
| A_51_P253904 | NME1 | −1.61 | 3.30E-04 | 0.147 |
| A_51_P396351 | PCNA | −1.63 | 5.00E-05 | 0.129 |
| A_52_P251703 | VCAN | −1.64 | 2.00E-04 | 0.135 |
| A_51_P466673 | SRSF7 | −1.66 | 1.30E-04 | 0.129 |
| A_51_P419286 | BATF3 | −1.69 | 1.30E-04 | 0.129 |
| A_51_P492830 | CENPH | −1.71 | 4.10E-04 | 0.147 |
| A_51_P397200 | C7orf10 | −1.71 | 3.90E-04 | 0.147 |
| A_52_P681930 | SLC22A6 | −1.77 | 8.60E-05 | 0.129 |
| A_52_P329197 | DHFR | −1.79 | 3.40E-04 | 0.147 |
| A_52_P381303 | GINS2 | −1.80 | 2.10E-04 | 0.137 |
| A_52_P655890 | WDHD1 | −1.82 | 1.60E-04 | 0.131 |
| A_51_P269687 | POLE2 | −1.84 | 4.50E-04 | 0.147 |
| A_52_P148553 | FIGNL1 | −1.87 | 3.20E-04 | 0.147 |
| A_51_P401451 | CDC45 | −1.95 | 1.40E-04 | 0.129 |
| A_51_P347240 | LRR1 | −1.97 | 2.00E-04 | 0.135 |
| A_51_P337083 | GINS1 | −1.99 | 3.90E-04 | 0.147 |
| A_52_P285722 | HELLS | −2.33 | 5.20E-04 | 0.147 |
| A_52_P655239 | RHOT1 | −2.51 | 1.80E-04 | 0.134 |
| A_52_P33097 | PRR11 | −2.62 | 2.70E-04 | 0.14 |
| A_52_P203316 | KCNF1 | −2.98 | 1.30E-04 | 0.129 |
| A_52_P271671 | CNTN4 | −3.51 | 5.60E-05 | 0.129 |
aIncluded are all genes altered by at least 1.5-fold in expression and detected with a FDR of less than 0.15.
FIG. 4.
Hierarchical clustering of genes differentially expressed after O3 exposure. Heat maps of genes significantly altered in expression by at least 1.5-fold after 6h (A) and 24h (B) post-O3 exposure. FDR cutoff was 0.15 for 6h (A) and 0.05 for 24h (B).
At 24h following O3 exposure, 866 genes were differentially expressed based on Student’s t-test analysis (p < .05). Using the Benjamini–Hochberg procedure to control for false discovery rate, a total of 55 genes were identified as significantly altered in expression by at least 1.5-fold with a FDR set at 5% (q < .05). Of these genes, 50 were down-regulated and only 5 were up-regulated (Table 2). Hierarchical clustering analysis performed with this probe set revealed a clear pattern of expression distinguishing O3-exposed from FA-exposed mice (Fig. 4B).
TABLE 2.
Top List of Genes Differentially Expressed in Newborn Lung at 24h After O3 Exposurea
| Agilent Probeset ID | Gene Name | Fold Change | p-Value | FDR |
|---|---|---|---|---|
| A_52_P795929 | AK081614 | 2.16 | 1.10E-04 | 0.048 |
| A_52_P433847 | VPREB3 | 1.92 | 5.40E-05 | 0.043 |
| A_51_P282930 | RORC | 1.86 | 8.70E-06 | 0.022 |
| A_51_P356055 | GRP | 1.78 | 2.70E-05 | 0.035 |
| A_51_P182362 | CYP2B6 | 1.70 | 7.60E-05 | 0.044 |
| A_51_P500718 | DCK | −1.53 | 6.90E-05 | 0.043 |
| A_51_P407606 | TMEM48 | −1.53 | 2.60E-05 | 0.034 |
| A_52_P796682 | CCNE1 | −1.54 | 1.50E-05 | 0.027 |
| A_52_P252737 | CHADL | −1.54 | 6.40E-05 | 0.043 |
| A_51_P508775 | MMP17 | −1.56 | 2.30E-05 | 0.033 |
| A_52_P247927 | 2810442I21Rik | −1.58 | 7.10E-06 | 0.019 |
| A_51_P108767 | RAD54L | −1.59 | 5.40E-07 | 0.007 |
| A_52_P363039 | NCAPH | −1.61 | 3.30E-05 | 0.035 |
| A_52_P184149 | MTHFD2 | −1.63 | 4.60E-05 | 0.041 |
| A_52_P314705 | UHRF1 | −1.64 | 5.40E-05 | 0.043 |
| A_51_P401451 | CDC45 | −1.65 | 6.00E-05 | 0.043 |
| A_52_P364299 | MMS22L | −1.67 | 1.10E-04 | 0.048 |
| A_51_P314907 | DBF4 | −1.67 | 8.20E-05 | 0.044 |
| A_51_P459100 | STIL | −1.72 | 4.80E-05 | 0.042 |
| A_52_P304947 | CENPN | −1.73 | 1.90E-06 | 0.018 |
| A_51_P328333 | CCNF | −1.75 | 6.60E-05 | 0.043 |
| A_52_P255034 | PARPBP | −1.78 | 1.00E-04 | 0.047 |
| A_52_P4666 | CENPK | −1.80 | 2.30E-05 | 0.033 |
| A_51_P441843 | FANCI | −1.80 | 1.00E-05 | 0.024 |
| A_51_P303749 | DEPDC1B | −1.80 | 1.30E-04 | 0.049 |
| A_51_P110689 | RRM2 | −1.80 | 4.20E-05 | 0.04 |
| A_52_P220370 | ANKLE1 | −1.82 | 1.10E-04 | 0.048 |
| A_51_P475523 | BRCA1 | −1.82 | 4.90E-06 | 0.019 |
| A_51_P318123 | AK084660 | −1.82 | 5.50E-06 | 0.019 |
| A_51_P358633 | MELK | −1.87 | 1.20E-04 | 0.048 |
| A_51_P253808 | MKI67 | −1.88 | 8.10E-05 | 0.044 |
| A_52_P399584 | CKAP2L | −1.89 | 3.30E-05 | 0.035 |
| A_52_P211223 | CDCA2 | −1.89 | 7.00E-05 | 0.043 |
| A_52_P139399 | NCAPD2 | −1.89 | 1.60E-05 | 0.029 |
| A_51_P195034 | ESCO2 | −1.92 | 1.20E-04 | 0.048 |
| A_52_P75348 | CCDC99 | −1.93 | 1.00E-04 | 0.047 |
| A_52_P633714 | TROAP | −1.95 | 3.30E-05 | 0.035 |
| A_51_P254805 | KIF4A | −1.95 | 1.90E-05 | 0.027 |
| A_51_P220222 | TACC3 | −1.97 | 5.50E-05 | 0.043 |
| A_52_P584374 | KIAA1524 | −1.98 | 6.10E-06 | 0.019 |
| A_51_P481592 | CKAP2 | −1.98 | 1.00E-04 | 0.046 |
| A_51_P450033 | CDK1 | −1.98 | 7.90E-05 | 0.044 |
| A_51_P455897 | FAM64A | −1.99 | 1.00E-04 | 0.047 |
| A_51_P191649 | NDC80 | −2.03 | 8.30E-05 | 0.044 |
| A_52_P559748 | Hist1h2bq | −2.07 | 8.20E-05 | 0.044 |
| A_52_P411003 | DLGAP5 | −2.07 | 5.30E-06 | 0.019 |
| A_52_P1060609 | AK087779 | −2.08 | 1.00E-07 | 0.004 |
| A_52_P415229 | POLQ | −2.10 | 1.20E-05 | 0.025 |
| A_51_P294346 | MIS18BP1 | −2.10 | 7.90E-05 | 0.044 |
| A_52_P392544 | CDCA8 | −2.15 | 5.40E-05 | 0.043 |
| A_51_P490509 | BUB1B | −2.16 | 6.90E-05 | 0.043 |
| A_52_P556462 | FANCD2 | −2.21 | 1.10E-05 | 0.024 |
| A_51_P326769 | Gnas | −2.23 | 8.60E-05 | 0.045 |
| A_51_P127412 | KIF15 | −2.26 | 6.40E-05 | 0.043 |
| A_52_P227880 | CENPF | −2.28 | 1.10E-04 | 0.047 |
aIncluded are all genes altered by at least 1.5-fold in expression and detected with a FDR of less than 0.05.
Gene Functional Enrichment Analysis
Functional groups enriched 24h after O3 exposures were identified by Gene Ontology enrichment analysis using Partek Genomic Suite software (Table 3). All of the genes listed in Table 2, which were significantly changed in expression by at least 1.5-fold (q < .05) at 24h post-O3 exposure, were used for this analysis. Several of the functional genes identified were involved in cell cycle and cell division. More detailed description of these genes and their related function is presented in Supplementary Table E1. The highest enrichment score was obtained for the Cell Cycle functional group and involved 18 genes, all down-regulated after O3 exposure. Other differentially expressed genes associated with the functional groups cell division, cell cycle process, and cell proliferation, were also all down-regulated (Table 3).
TABLE 3.
Top List of Functional Groups Enriched by Genes Differentially Expressed in Newborn Lung at 24h After O3 Exposurea
| Functional Group | Enrichment Score | No. of Genes in Group |
|---|---|---|
| Cellular process | 12.14* | 27 |
| Cell cycle | 39.84* | 18 |
| Cell division | 20.91* | 10 |
| Cell cycle process | 16.03* | 9 |
| Microtubule-based process | 5.48* | 3 |
| Cell proliferation | 4.29* | 3 |
| Transmembrane transport | 1.06 | 1 |
| Cellular metabolic process | 1.03 | 10 |
| Cell communication | 0.81 | 1 |
| Response to stimulus | 3.73* | 9 |
| Cellular response to stimulus | 10.13* | 7 |
| Response to stress | 8.07* | 6 |
| Response to abiotic stimulus | 1.25 | 1 |
| Response to chemical stimulus | 1.08 | 2 |
| Cellular component organization | 3.14* | 6 |
| Organelle organization | 5.46* | 5 |
| Macromolecular complex assembly | 0.72 | 1 |
aGO enrichment was performed through Partek Genomic Suite Software.
* Enrichment p-value < .05
Gene Expression Pathway Analysis
Network analysis of genes significantly altered in expression by at least 1.5-fold (q < .05) at 24h post-O3 exposure identified two major networks with 24 and 15 identified focus molecules and corresponding enrichment scores of 55 and 30 (Table 4, Figs. 5 and 6). Both networks involve Cell Cycle, Cellular Assembly and Organization, DNA Replication, Recombination, and Repair. All these focus genes were down-regulated including the prototypic marker of cell proliferation MKI67, indicating a general suppression of cell proliferation in the newborn lung after acute O3 exposure.
TABLE 4.
Top Networks of Genes Differentially Expressed in Newborn Lung at 24h After O3 Exposure
| Functions | Molecules in Network | Score | Focus Molecules |
|---|---|---|---|
| Cell cycle, cellular assembly and organization, DNA replication, recombination, and repair | APC (complex), BRCA1, BUB1B, CCNE1, CCNF, CD3, CDC45, CDCA2, CDK1, CENPF, CKAP2, Cyclin A, DBF4, DLGAP5, E2f, FANCD2, FANCI, Histone H1, Histone h3, Histone h4, KIF15, MELK, MKI67, MTHFD2, NCAPD2, NCAPH, NDC80, NFkB (complex), Rb, RNA polymerase II, RRM2, STIL, TACC3, UHRF1, Vegf | 55 | 24 |
| Cell cycle, cellular assembly and organization, DNA replication, recombination, and repair | ANKLE1, ARNT, BYSL, CCDC99, CDA, CENPK, CENPN, CHADL, CKAP2L, DCK, DDX19B, DEPDC1B, ESCO2, GK, GOLM1, GPS2, KIAA1524, KNTC1, MAPRE3, MIS18BP1, NUP155, PARPBP, PPME1, PPP2R5D, RAD54L, RANBP1, SAE1, SPAG5, TMEM48, TRO, TROAP, UBA2, UBC, ZW10, ZWILCH | 30 | 15 |
Network analyses were generated through the use of Ingenuity Systems software. Focus molecules are highlighted with bold character.
FIG. 5.
Top ranked network of genes altered in the newborn lung at 24h post-O3 exposure. The gene network was generated with Ingenuity Pathway Analysis software using dataset of genes significantly altered by at least 1.5-fold (FDR, q < .05). This network had the highest enrichment score of 55 and contained 24 identified genes, all down-regulated by 24h after O3 exposure. The network is a graphical representation of knowledge-based functional relationships between molecules. Molecules are represented as nodes, and the biological relationship between two nodes is represented as a line. All relationships are supported by at least one reference from the literature stored in the Ingenuity Knowledge Base.
FIG. 6.
Second ranked network of genes altered in the newborn lung at 24h post-O3 exposure. The gene network was generated with Ingenuity Pathway Analysis software using dataset of genes significantly altered by at least 1.5-fold (FDR, q < .05). This network has a score of 30 and contained 15 focus genes, all down-regulated by 24h after O3 exposure.
Figure 7 illustrates the results of rt-qPCR validating the differential expression of selected genes identified by microarray analysis. The results confirmed the down-regulation of mRNA expression seen on the microarrays for MKI67, CDK1, and BRCA, at 24h post-O3 exposure. These results also demonstrated that CDK1 and BRCA were significantly down-regulated at 6h post-O3 exposure, confirming the trend of decreased expression for these genes on the microarrays, at this early time point. In addition, the results of rt-qPCR also confirmed the increased mRNA expression of RORC and GRP detected after O3 exposure on the microarrays.
FIG. 7.
Validation of differential expression for selected genes by RT-qPCR. Changes in gene expression were validated by RT-qPCR, confirming the results of microarrays for the same selected genes (MKI67, CDK1, BRCA, RORC, GRP). *Significant statistical difference (p < .01), when compared to FA.
Effect of O3 Exposure on Cell Proliferation in the Neonatal Lung
To determine if the suppression of cell cycle function-associated genes detected by microarray analysis impacted cell proliferation in the lung of O3-exposed neonatal mice, we performed in vivo labeling of proliferating cells with the thymidine analogue bromo-deoxyuridine (BrdU). The results were analyzed using quantitative stereology. Proliferating cells were identified by immunohistochemistry as cells positively labeled with BrdU, which incorporated into DNA during synthesis (S-phase) and localized to the nucleus (Figs. 8A and 8B). Quantitative analysis of BrdU-labeled cells revealed that cell proliferation was indeed reduced following acute O3 exposure in the neonatal lung (Fig. 8C). These findings further demonstrate that the O3-mediated suppression of cell cycle resulted in reduced cell proliferation in the developing neonatal lung.
FIG. 8.
Effect of acute O3 exposure on cellular proliferation in the newborn lung. Lung tissues were collected at euthanasia, 24h after exposure to FA (A) or O3 (B). BrdU was administered by injection 3h before euthanasia and was detected in lung tissue sections by immunohistochemistry (dark nuclei). Number of proliferating (BrdU-labeled) cells were determined by quantitative stereology (C). *: Significant statistical difference (p < .5), when compared to FA.
DISCUSSION
The overall objective of this study was to define the effects of acute O3 exposure on the developing neonatal mouse lung at the transcriptome level. To the best of our knowledge, this is the first study to profile the transcriptome response of the newborn lung to O3 exposure using genome-wide gene expression microarray analysis. The results identified novel genes and molecular pathways never associated before with O3 exposure. This study was carefully designed with age-matched littermate controls for FA-exposure to identify the changes that are due to O3 exposure among those naturally occurring during normal development. This is important because the lung is developing rapidly during the neonatal period, and significant changes in lung transcriptome can occur within a short window of time as result of normal development irrespective of O3 exposure. Thus, independent of these development-related changes, O3 altered the expression of several genes in the neonatal lung. Of the entire mouse genome analyzed, 621 genes were significantly altered (166 up- and 455 down-regulated) by 6h and 866 genes were altered (323 up- and 543 down-regulated) by 24h in the neonatal lung following acute O3 exposure, when compared with filtered air exposure (Student’s t test, p < .05). However, using the Benjamini–Hochberg step-wise procedure for multiple comparisons (Benjamini and Hochberg, 1995), a more stringent statistical analysis that controls for false discovery rate, 55 genes were definitely identified as significantly altered at 24h after acute O3 exposure (FDR, q < .05).
Previous studies that examined the effect of O3 exposure on gene expression in the lung of adult animals indicate that injury-associated inflammation and tissue repair processes were the most predominant pathways altered by O3 in fully developed lungs (Gohil et al., 2003; Hicks et al., 2010; Nadadur et al., 2005; Williams et al., 2007). In the present study, using the dataset of 55 genes differentially expressed at 24h post-O3 exposure with an FDR set at 5%, it was mainly cell cycle-associated functions including cell division/proliferation that were altered after acute O3 exposure in the developing neonatal lung. This is illustrated by a large set of functional genes that were significantly down-regulated by 24h after acute O3 exposure in the newborn lung. It is noteworthy that most of the genes down-regulated at 6h post O3 are also associated with cell cycle function, suggesting that this negative impact of O3 on cell division/proliferation may have been initiated early but did not reach statistical significance at 5% FDR until 24h post exposure. The decreased expression of cell cycle function genes suggested a decrease in cell division/proliferation. Analysis of BrdU incorporation further demonstrated that this suppression of the cell cycle was associated with reduced cell proliferation in the lung of O3-exposed neonatal mice.
The postnatal period is characterized by rapid growth and alveolarization of the developing lung. Differences exist between rodents and human in lung development stages. In human, alveolarization begins shortly before birth, whereas in mice it begins postnatally within two days after birth (Pinkerton and Joad, 2000). Nonetheless, in both cases, the postnatal lungs are developing rapidly and cell division/proliferation is a major component of this postnatal development phase. Therefore, it is conceivable that similar adverse effects of O3 exposure on cell proliferation may also occur in the developing postnatal human lung. Alveolarization is a complex process coordinated by multiple interactions involving paracrine mechanisms between fibroblasts, epithelial cells, extracellular matrix, and vascular compartments of the lung. In the present study, none of the growth/differentiation factors, transcription factors or extracellular matrix components, previously shown to play a critical role in alveologenesis (Bourbon et al., 2005; Maeda et al., 2007; Mariani et al., 2002) was significantly altered at 6 or 24h after acute O3 exposure. This suggests that alveolarization may not be affected at least in the short term by acute O3 exposure. However, altered proliferation consistent with decreased expression of cyclin and Cdk in type-II alveolar epithelial cells has been associated with altered alveolar development in the premature baboon model of bronchopulmonary dysplasia (Das and Ravi, 2004). Whether altered alveolar cell proliferation may persist in the developing postnatal lung leading to altered alveolar development after chronic O3 exposure needs to be determined.
Studies from this laboratory (Gabehart et al., 2011) and others (Johnston et al., 2000a, 2006; Vancza et al., 2009) clearly indicate that the magnitude of the lung response to O3 exposure is much smaller in the early age than in adults. Therefore, it is possible that some of the O3 response genes may not be detected on the microarrays due to low expression levels below the sensitivity of detection by this method. Using rt-qPCR to confirm the microarray data, we found that some of the genes (eg, CDK1, BRCA, RORC) were significantly altered at 6h after O3 exposure (Fig. 7), even though they were eliminated in the microarray analysis based on the Benjamini–Hochberg multiple comparison tests. Similarly, other genes (eg, CXCL-1, Hmox-1, MT-1) known to be induced after acute O3 exposure (Johnston et al., 2000b; Takahashi et al., 1997; Valacchi et al., 2004) were also up-regulated in the newborn lung as detected by rt-qPCR (Fig. 1) but were filtered out in the microarray analysis based on a FDR cutoff value of 5%.
O3 is highly reactive but poorly soluble in water; hence it damages lung tissue indirectly by reacting with unsaturated fatty acids and other components in the epithelial lining fluid to create reactive oxygen radicals (Kennedy et al., 1992; Pryor, 1992; Pryor and Church, 1991). Our microarray data indicate that O3 induced OSGIN1 and GPX2 expression at 6h in the newborn mouse lung (Table 1). OSGIN1 (also called OKL38) is an oxidative stress response gene stimulated by oxidized phospholipids that may regulate the differentiation and proliferation of cells through regulation of cell death (Li et al., 2007). GPX2 is a selenium-dependent glutathione peroxidase that could play a role against toxicity of hydroperoxides and mediated inflammation (Esworthy et al., 2005). The antioxidants MT-1 and Hmox-1 were also induced in our newborn mouse model of O3 exposure (Fig. 1). MT-1 scavenges hydroxyl radicals to protect DNA from oxidative damage (Chubatsu and Meneghini, 1993), and acts as a zinc donor for DNA-repair enzymes (Sato and Bremmer, 1993). MT-1 could play a protective role against O3-mediated lung inflammation via the regulation of pulmonary epithelial barrier and its anti-oxidative property (Inoue et al., 2008). In the present study, albumin levels were not increased significantly in the BAL fluid of newborn mice following acute O3 exposure and no obvious alteration in airway tissue or epithelial cell detachment could be detected under light microscopy. However, examination by electron microscopy showed clear alterations in the epithelial structure with enlarged intercellular space and disrupted junctions between adjacent cells in the tracheas of O3 exposed newborn mice. This is in contrast to previous studies in adult rats where epithelial damage tended to occur more in distal airways than in the proximal airways after 8h of exposure to 1000 ppb O3 (Oslund et al., 2009). This apparent difference may be due to differences in the age of animals and duration of O3 exposure.
The first week of postnatal development is also a critical window of immune development in mice, in human this window extends to 1 year after birth (Dietert et al., 2000), and an inappropriate response during this window may result in the development of aberrant responses on subsequent re-exposures. Previous studies have shown that infection of neonatal mice with respiratory syncytial virus during the first week of life predisposes to the development of an asthma-like phenotype characterized by a Th2 response and eosinophilc inflammation on subsequent re-infection at an older age, an aberrant response that did not develop in mice initially infected as weanling adults (Dakhama et al., 2005). Subsequent studies further demonstrated that this aberrant response was due to a deficient interferon-γ production characterizing the immature response of newborn mice to RSV (Lee et al., 2008). A recent study, using an infant rhesus monkey model, suggested that the immaturity of the immune system also could be a factor that determined the development of eosinophilic airway inflammation after repeated O3 exposures (Maniar-Hew et al., 2011). In the present study, no significant eosinophilic response was detected in the neonatal mouse lung after acute O3 exposure; however, this may be due to the single exposure nature of our model. Future studies of chronic exposure during postnatal development in the neonatal mouse model may be necessary to further characterize this response and define underlying mechanisms.
At this early age, the innate immune system still generally favors a Th17 type response and a curtailed Th1 type response (Corbett et al., 2010). The development of Th17 is critically dependent on the transcription factor retinoid-related orphan receptor (ROR)γt (Ivanov et al., 2006). Our data showing increased expression of RORC, the gene encoding for RORγt, suggests that O3 exposure may promote the development of Th17 cells in the neonatal mouse lung. Additionally, the gene transcript for pre-B lymphocyte 3 (VPREB3) was also increased in the neonatal lung after O3 exposure, suggesting potential B cell involvement in the neonatal response to O3.
Neutrophil recruitment to the lungs is a characteristic response to acute O3 exposure in both human and animal models (Hollingsworth et al., 2007; Mudway and Kelly, 2004), including newborn mice, as shown in the present study. Neonates have been shown to have an immature and attenuated neutrophil response to sepsis in both human and animal models (Melvan et al., 2010). Our data demonstrate that neonates also develop an attenuated neutrophil response to O3 exposure, most likely due to their immature innate immunity. Our rt-qPCR results demonstrate that this neutrophilic response is associated with increased expression of the neutrophilic chemokines CXCL-1 and CXCL-5 in the lungs of O3-exposed newborn mice. Unlike in adult mice, CXCL-2 expression was not increased in the newborn lung after O3 exposure in our study (data not shown). Ozone-mediated CXCL-1 expression has been reported previously in the lungs of juvenile mice (Johnston et al., 2000a, 2004), but not CXCL-5, which was increased earlier in response to O3 exposure in the newborn mouse lung in the present study. This suggests that CXCL-5 might play an important role in early recruitment of neutrophils to the lung after O3 exposure.
Neurogenic function may also play an important role in airway response to O3 exposure. Acute inhalation of O3 induced rapid shallow breathing and bronchoconstriction through afferent vagal C-fibers (Schelegle et al., 1993; Taylor-Clark and Undem, 2010). Activation of sensory C fibers can lead to the release of CGRP and other neuropeptides in the airways. In our newborn mouse model, the results of rt-qPCR showed that CGRP mRNA expression was increased significantly (1.92±0.16-fold) but transiently at 6h post-O3 exposure. CGRP may play a role in epithelial injury and repair after O3 exposure as recently suggested (Oslund et al., 2009). Our results also demonstrate increased expression of the neuropeptide GRP at 24h post-O3 exposure. GRP is expressed by neuro-epithelial cells and may play a role in lung alveolarization (Degan et al., 2008; Subramaniam et al., 2007).
Overall, the results of this study identify few similarities and major differences in the effects of O3 exposure in the developing postnatal lung compared to fully developed lungs. As in fully developed lungs, O3 inhalation triggers an antioxidant response and a neutrophilic airway inflammation in the developing postnatal lung, albeit of smaller magnitude. Of major significance in this study is the finding that O3 mediated a global suppression of several genes involved in cell cycle and proliferation in the developing postnatal lung. Because cell proliferation is critical to lung tissue repair, development and growth, a deficit in cell proliferation during postnatal lung development may potentially impact subsequent lung development, structure and function growth. There is evidence to suggest that chronic O3 exposure during active lung development may lead to altered airway structure and lung function (Evans et al., 2004; Fanucchi et al., 2006; Gauderman et al., 2002; Kajekar et al., 2007). Chronic exposure to O3 has also been associated with significant reduction in lung function growth in young children (Frischer et al., 1999; Ihorst et al., 2004; Rojas-Martinez et al., 2007), perhaps due to some extent to altered cell proliferation and growth. A potential limitation in our study is that a single O3 exposure does not mimic the chronic exposure in human. Nonetheless, our data provide an important insight into the early effects of O3 exposure on the developing lung. Whether similar effects can be sustained during chronic exposure and lead to alteration in structure and function of the lung need to be further explored and defined.
SUPPLEMENTARY DATA
Supplementary data are available online at http://toxsci.oxfordjournals.org/.
FUNDING
This work was supported by the National Institutes of Health [P01 ES018181 and R01 HD053557 to A.D.].
Supplementary Material
ACKNOWLEDGMENTS
The authors thank Dr Daniel Laflamme (Center for Genes, Environment and Health, National Jewish Health) for performing RNA labeling and hybridization on microarrays and the Biological Resource Center personnel for assistance with animal handling and care.
REFERENCES
- Akinbami L. J., Lynch C. D., Parker J. D., Woodruff T. J. (2010). The association between childhood asthma prevalence and monitored air pollutants in metropolitan areas, United States, 2001–2004. Environ. Res. 110(3), 294–301 [DOI] [PubMed] [Google Scholar]
- Babin S. M., Burkom H. S., Holtry R. S., Tabernero N. R., Stokes L. D., Davies-Cole J. O., DeHaan K., Lee D. H. (2007). Pediatric patient asthma-related emergency department visits and admissions in Washington, DC, from 2001–2004, and associations with air quality, socio-economic status and age group. Environ. Health 6, 9. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Benjamini Y., Hochberg Y. (1995). Controling the false discovery rate: A practical and powerful approach to multipul testing. J. Royal Stat. Soc. B 57, 289–300 [Google Scholar]
- Bourbon J., Boucherat O., Chailley-Heu B., Delacourt C. (2005). Control mechanisms of lung alveolar development and their disorders in bronchopulmonary dysplasia. Pediatr. Res. 57(5), 38R–46R [DOI] [PubMed] [Google Scholar]
- Chubatsu L.S., Meneghini R. (1993). Metallothionein protects DNA from oxidative damage. Biochem. J. 291, 193–198 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Corbett N. P., Blimkie D., Ho K. C., Cai B., Sutherland D. P., Kallos A., Crabtree J., Rein-Weston A., Lavoie P. M., Turvey S. E., et al. (2010). Ontogeny of Toll-like receptor mediated cytokine responses of human blood mononuclear cells. PLoS ONE 5(11), e15041. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Dakhama A., Park J. W., Taube C., Joetham A., Balhorn A., Miyahara N., Takeda K., Gelfand E. W. (2005). The enhancement or prevention of airway hyperresponsiveness during reinfection with respiratory syncytial virus is critically dependent on the age at first infection and IL-13 production. J. Immunol. 175(3), 1876–1883 [DOI] [PubMed] [Google Scholar]
- Das K. C., Ravi D. (2004). Altered expression of cyclins and cdks in premature infant baboon model of bronchopulmonary dysplasia. Antioxid. Redox Signal. 6:117–127 [DOI] [PubMed] [Google Scholar]
- Degan S., Lopez G. Y., Kevill K., Sunday M. E. (2008). Gastrin-releasing peptide, immune responses, and lung disease. Ann. N. Y. Acad. Sci. 1144, 136–147 [DOI] [PubMed] [Google Scholar]
- Dietert R. R., Etzel R. A., Chen D., Halonen M., Holladay S. D., Jarabek A. M., Landreth K., Peden D. B., Pinkerton K., Smialowicz R. J., et al. (2000). Workshop to identify critical windows of exposure for children’s health: Immune and respiratory systems work group summary. Environ. Health Perspect. 108(Suppl. 3), 483–490 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Esworthy R. S., Yang L., Frankel P. H., Chu F. F. (2005). Epithelium-specific glutathione peroxidase, Gpx2, is involved in the prevention of intestinal inflammation in selenium-deficient mice. J. Nutr. 135(4), 740–745 [DOI] [PubMed] [Google Scholar]
- Evans M. J., Fanucchi M. V., Baker G. L., Van Winkle L. S., Pantle L. M., Nishio S. J., Schelegle E. S., Gershwin L. J., Miller L. A., Hyde D. M., et al. (2004). The remodelled tracheal basement membrane zone of infant rhesus monkeys after 6 months of recovery. Clin. Exp. Allergy 34(7), 1131–1136 [DOI] [PubMed] [Google Scholar]
- Fanucchi M. V., Plopper C. G., Evans M. J., Hyde D. M., Van Winkle L. S., Gershwin L. J., Schelegle E. S. (2006). Cyclic exposure to ozone alters distal airway development in infant rhesus monkeys. Am. J. Physiol. Lung Cell. Mol. Physiol. 291(4), L644–L650 [DOI] [PubMed] [Google Scholar]
- Finkelstein J. N., Johnston C. J. (2004). Enhanced sensitivity of the postnatal lung to environmental insults and oxidant stress. Pediatrics 113(4 Suppl.), 1092–1096 [PubMed] [Google Scholar]
- Frischer T., Studnicka M., Gartner C., Tauber E., Horak F., Veiter A., Spengler J., Kuhr J., Urbanek R. (1999). Lung function growth and ambient ozone: A three-year population study in school children. Am. J. Respir. Crit. Care Med. 160(2), 390–396 [DOI] [PubMed] [Google Scholar]
- Gabehart K., Correll K. A., Yang J., Collins M. L., Loader J. E., White C. W., Dakhama A. (2011). Effect of postnatal ozone exposure on the developing lung. Am. J. Respir. Crit. Care Med. 183, A3242 [Google Scholar]
- Gauderman W. J., Gilliland G. F., Vora H., Avol E., Stram D., McConnell R., Thomas D., Lurmann F., Margolis H. G., Rappaport E. B., et al. (2002). Association between air pollution and lung function growth in southern California children: Results from a second cohort. Am. J. Respir. Crit. Care Med. 166(1), 76–84 [DOI] [PubMed] [Google Scholar]
- Gohil K., Cross C. E., Last J. A. (2003). Ozone-induced disruptions of lung transcriptomes. Biochem. Biophys. Res. Commun. 305(3), 719–728 [DOI] [PubMed] [Google Scholar]
- Hicks A., Kourteva G., Hilton H., Li H., Lin T. A., Liao W., Li Y., Wei X., March T., Benson J., et al. (2010). Cellular and molecular characterization of ozone-induced pulmonary inflammation in the Cynomolgus monkey. Inflammation 33(3), 144–156 [DOI] [PubMed] [Google Scholar]
- Holladay S. D., Smialowicz R. J. (2000). Development of the murine and human immune system: Differential effects of immunotoxicants depend on time of exposure. Environ. Health Perspect. 108(Suppl. 3), 463–473 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Hollingsworth J. W., Kleeberger S. R., Foster W. M. (2007). Ozone and pulmonary innate immunity. Proc. Am. Thorac. Soc. 4(3), 240–246 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Ihorst G., Frischer T., Horak F., Schumacher M., Kopp M., Forster J., Mattes J., Kuehr J. (2004). Long- and medium-term ozone effects on lung growth including a broad spectrum of exposure. Eur. Respir. J. 23(2), 292–299 [DOI] [PubMed] [Google Scholar]
- Inoue K., Takano H., Kaewamatawong T., Shimada A., Suzuki J., Yanagisawa R., Tasaka S., Ishizaka A., Satoh M. (2008). Role of metallothionein in lung inflammation induced by ozone exposure in mice. Free Radic. Biol. Med. 45(12), 1714–1722 [DOI] [PubMed] [Google Scholar]
- Ivanov II, McKenzie B. S., Zhou L., Tadokoro C. E., Lepelley A., Lafaille J. J., Cua D. J., Littman D. R. (2006). The orphan nuclear receptor RORgammat directs the differentiation program of proinflammatory IL-17+ T helper cells. Cell 126(6), 1121–1133 [DOI] [PubMed] [Google Scholar]
- Johnston C. J., Oberdorster G., Gelein R., Finkelstein J. N. (2000a). Newborn mice differ from adult mice in chemokine and cytokine expression to ozone, but not to endotoxin. Inhal. Toxicol. 12(3), 205–224 [DOI] [PubMed] [Google Scholar]
- Johnston C. J., Reed C. K., Avissar N. E., Gelein R., Finkelstein J. N. (2000b). Antioxidant and inflammatory response after acute nitrogen dioxide and ozone exposures in C57Bl/6 mice. Inhal. Toxicol. 12(3), 187–203 [DOI] [PubMed] [Google Scholar]
- Johnston C. J., Holm B. A., Finkelstein J. N. (2004). Differential proinflammatory cytokine responses of the lung to ozone and lipopolysaccharide exposure during postnatal development. Exp. Lung Res. 30(7), 599–614 [DOI] [PubMed] [Google Scholar]
- Johnston C. J., Holm B. A., Gelein R., Finkelstein J. N. (2006). Postnatal lung development: Immediate-early gene responses post ozone and LPS exposure. Inhal. Toxicol. 18(11), 875–883 [DOI] [PubMed] [Google Scholar]
- Kajekar R., Pieczarka E. M., Smiley-Jewell S. M., Schelegle E. S., Fanucchi M. V., Plopper C. G. (2007). Early postnatal exposure to allergen and ozone leads to hyperinnervation of the pulmonary epithelium. Respir. Physiol. Neurobiol. 155(1), 55–63 [DOI] [PubMed] [Google Scholar]
- Kennedy C. H., Hatch G. E., Slade R., Mason R. P. (1992). Application of the EPR spin-trapping technique to the detection of radicals produced in vivo during inhalation exposure of rats to ozone. Toxicol. Appl. Pharmacol. 114(1), 41–46 [DOI] [PubMed] [Google Scholar]
- Knust J., Ochs M., Gundersen H. J., Nyengaard J. R. (2009). Stereological estimates of alveolar number and size and capillary length and surface area in mice lungs. Anat. Rec. (Hoboken) 292(1), 113–122 [DOI] [PubMed] [Google Scholar]
- Lee Y. M., Miyahara N., Takeda K., Prpich J., Oh A., Balhorn A., Joatham A., Gelfand E. W., Dakhama A. (2008). IFN-gamma production during initial infection determines the outcome of reinfection with respiratory syncytial virus. Am. J. Respir. Crit. Care Med. 177(2), 208–218 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Li R., Chen W., Yanes R., Lee S., Berliner J. A. (2007). OKL38 is an oxidative stress response gene stimulated by oxidized phospholipids. J. Lipid Res. 48(3), 709–715 [DOI] [PubMed] [Google Scholar]
- Maeda Y., Davé V., Whitsett J. A. (2007). Transcriptional control of lung morphogenesis. Physiol. Rev. 87, 219–244 [DOI] [PubMed] [Google Scholar]
- Maniar-Hew K., Postlethwait E. M., Fanucchi M. V., Ballinger C. A., Evans M. J., Harkema J. R., Carey S. A., McDonald R. J., Bartolucci A. A., Miller L. A. (2011). Postnatal episodic ozone results in persistent attenuation of pulmonary and peripheral blood responses to LPS challenge. Am. J. Physiol. Lung Cell. Mol. Physiol. 300(3), L462–L471 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mar T. F., Koenig J. Q. (2009). Relationship between visits to emergency departments for asthma and ozone exposure in greater Seattle, Washington. Ann. Allergy Asthma Immunol. 103(6), 474–479 [DOI] [PubMed] [Google Scholar]
- Mariani T. J., Reed J. J., Shapiro S. D. (2002). Expression profiling of the developing mouse lung. Insights into the establishment of the extracellular matrix. Am. J. Respir. Cell. Mol. Biol. 26, 541–548 [DOI] [PubMed] [Google Scholar]
- Melvan J. N., Bagby G. J., Welsh D. A., Nelson S., Zhang P. (2010). Neonatal sepsis and neutrophil insufficiencies. Int. Rev. Immunol. 29(3), 315–348 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Mudway I. S., Kelly F. J. (2004). An investigation of inhaled ozone dose and the magnitude of airway inflammation in healthy adults. Am. J. Respir. Crit. Care Med. 169(10), 1089–1095 [DOI] [PubMed] [Google Scholar]
- Nadadur S. S., Costa D. L., Slade R., Silbjoris R., Hatch G. E. (2005). Acute ozone-induced differential gene expression profiles in rat lung. Environ. Health Perspect. 113(12), 1717–1722 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Oslund K. L., Hyde D. M., Putney L. F., Alfaro M. F., Walby W. F., Tyler N. K., Schelegle E. S. (2009). Activation of calcitonin gene-related peptide receptor during ozone inhalation contributes to airway epithelial injury and repair. Toxicol. Pathol. 37(6), 805–813 [DOI] [PubMed] [Google Scholar]
- Park J. W., Taube C., Joetham A., Takeda K., Kodama T., Dakhama A., McConville G., Allen C. B., Sfyroera G., Shultz L. D., et al. (2004). Complement activation is critical to airway hyperresponsiveness after acute ozone exposure. Am. J. Respir. Crit. Care Med. 169(6), 726–732 [DOI] [PubMed] [Google Scholar]
- Pinkerton K. E., Joad J. P. (2000). The mammalian respiratory system and critical windows of exposure for children’s health. Environ. Health Perspect. 108(Suppl. 3), 457–462 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Plopper C. G., Fanucchi M. V. (2000). Do urban environmental pollutants exacerbate childhood lung diseases? Environ. Health Perspect. 108(6), A252–A253 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Pryor W. A., Church D. F. (1991). Aldehydes, hydrogen peroxide, and organic radicals as mediators of ozone toxicity. Free Radic. Biol. Med. 11(1), 41–46 [DOI] [PubMed] [Google Scholar]
- Pryor W. A. (1992). How far does ozone penetrate into the pulmonary air/tissue boundary before it reacts? Free Radic. Biol. Med. 12(1), 83–88 [DOI] [PubMed] [Google Scholar]
- Rojas-Martinez R., Perez-Padilla R., Olaiz-Fernandez G., Mendoza-Alvarado L., Moreno-Macias H., Fortoul T., McDonnell W., Loomis D., Romieu I. (2007). Lung function growth in children with long-term exposure to air pollutants in Mexico City. Am. J. Respir. Crit. Care Med. 176(4), 377–384 [DOI] [PubMed] [Google Scholar]
- Romieu I., Sienra-Monge J. J., Ramirez-Aguilar M., Tellez-Rojo M. M., Moreno-Macias H., Reyes-Ruiz N. I., del Rio-Navarro B. E., Ruiz-Navarro M. X., Hatch G., Slade R., et al. (2002). Antioxidant supplementation and lung functions among children with asthma exposed to high levels of air pollutants. Am. J. Respir. Crit. Care Med. 166(5), 703–709 [DOI] [PubMed] [Google Scholar]
- Roy M. G., Rahmani M., Hernandez J. R., Alexander S. N., Ehre C., Ho S. B., Evans C. M. (2011). Mucin production during prenatal and postnatal murine lung development. Am. J. Respir. Cell Mol. Biol. 44(6), 755–760 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Sato M., Bremmer I. (1993). Oxygen free radicals and metallothionein. Free Radic. Biol. Med. 14, 325–337 [DOI] [PubMed] [Google Scholar]
- Schelegle E. S., Carl M. L., Coleridge H. M., Coleridge J. C., Green J. F. (1993). Contribution of vagal afferents to respiratory reflexes evoked by acute inhalation of ozone in dogs. J. Appl. Physiol. 74(5), 2338–2344 [DOI] [PubMed] [Google Scholar]
- Strickland M. J., Darrow L. A., Klein M., Flanders W. D., Sarnat J. A., Waller L. A., Sarnat S. E., Mulholland J. A., Tolbert P. E. (2010). Short-term associations between ambient air pollutants and pediatric asthma emergency department visits. Am. J. Respir. Crit. Care Med. 182(3), 307–316 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Strickland M. J., Darrow L. A., Mulholland J. A., Klein M., Flanders W. D., Winquist A., Tolbert P. E. (2011). Implications of different approaches for characterizing ambient air pollutant concentrations within the urban airshed for time-series studies and health benefits analyses. Environ. Health 10, 36. [DOI] [PMC free article] [PubMed] [Google Scholar]
- Subramaniam M., Bausch C., Twomey A., Andreeva S., Yoder B. A., Chang L., Crapo J. D., Pierce R. A., Cuttitta F., Sunday M. E. (2007). Bombesin-like peptides modulate alveolarization and angiogenesis in bronchopulmonary dysplasia. Am. J. Respir. Crit. Care Med. 176(9), 902–912 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Tager I. B., Balmes J., Lurmann F., Ngo L., Alcorn S., Kunzli N. (2005). Chronic exposure to ambient ozone and lung function in young adults. Epidemiology 16(6), 751–759 [DOI] [PubMed] [Google Scholar]
- Takahashi Y., Takahashi S., Yoshimi T., Miura T., Mochitate K., Kobayashi T. (1997). Increases in the mRNA levels of gamma-glutamyltransferase and heme oxygenase-1 in the rat lung after ozone exposure. Biochem. Pharmacol. 53(7), 1061–1064 [DOI] [PubMed] [Google Scholar]
- Taylor-Clark T. E., Undem B. J. (2010). Ozone activates airway nerves via the selective stimulation of TRPA1 ion channels. J. Physiol. 588(Pt 3), 423–433 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Triche E. W., Gent J. F., Holford T. R., Belanger K., Bracken M. B., Beckett W. S., Naeher L., McSharry J. E., Leaderer B. P. (2006). Low-level ozone exposure and respiratory symptoms in infants. Environ. Health Perspect. 114(6), 911–916 [DOI] [PMC free article] [PubMed] [Google Scholar]
- Valacchi G., Pagnin E., Corbacho A. M., Olano E., Davis P. A., Packer L., Cross C. E. (2004). In vivo ozone exposure induces antioxidant/stress-related responses in murine lung and skin. Free Radic. Biol. Med. 36(5), 673–681 [DOI] [PubMed] [Google Scholar]
- Vancza E. M., Galdanes K., Gunnison A., Hatch G., Gordon T. (2009). Age, strain, and gender as factors for increased sensitivity of the mouse lung to inhaled ozone. Toxicol. Sci. 107(2), 535–543 [DOI] [PMC free article] [PubMed] [Google Scholar]
- White M. C., Etzel R. A., Wilcox W. D., Lloyd C. (1994). Exacerbations of childhood asthma and ozone pollution in Atlanta. Environ. Res. 65(1), 56–68 [DOI] [PubMed] [Google Scholar]
- Williams A. S., Issa R., Leung S. Y., Nath P., Ferguson G. D., Bennett B. L., Adcock I. M., Chung K. F. (2007). Attenuation of ozone-induced airway inflammation and hyper-responsiveness by c-Jun NH2 terminal kinase inhibitor SP600125. J. Pharmacol. Exp. Ther. 322(1), 351–359 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.








