Rationale: Airway inflammation is a central feature of chronic obstructive pulmonary disease (COPD). COPD exacerbations are often triggered by rhinovirus (RV) infection.
Objectives: We hypothesized that airway epithelial cells from patients with COPD maintain a proinflammatory phenotype compared with control subjects, leading to greater RV responses.
Methods: Cells were isolated from tracheobronchial tissues of 12 patients with COPD and 10 transplant donors. Eight patients with COPD had severe emphysema, three had mild to moderate emphysema, and one had no emphysema. All had moderate to severe airflow obstruction, and six met criteria for chronic bronchitis or had at least one exacerbation the previous year. Cells were grown at air–liquid interface and infected with RV serotype 39. Cytokine and IFN expression was measured by ELISA. Selected genes involved in inflammation, oxidative stress, and proteolysis were assessed by focused gene array and real-time polymerase chain reaction.
Measurements and Main Results: Compared with control subjects, cells from patients with COPD demonstrated increased mRNA expression of genes involved in oxidative stress and the response to viral infection, including NOX1, DUOXA2, MMP12, ICAM1, DDX58/RIG-I, STAT1, and STAT2. COPD cells showed elevated baseline and RV-stimulated protein levels of IL-6, IL-8/CXCL8, and growth-related oncogene-α/CXCL1. COPD cells demonstrated increased viral titer and copy number after RV infection, despite increased IL-29/IFN-λ1, IL-28A/IFN-λ2, and IFN-inducible protein-10/CXCL10 protein levels. Finally, RV-infected COPD cultures showed increased mRNA expression of IL28A/IFNλ2, IL29/IFNλ1, IFIH1/MDA5, DDX58/RIG-I, DUOX1, DUOX2, IRF7, STAT1, and STAT2.
Conclusions: Airway epithelial cells from patients with COPD show higher baseline levels of cytokine expression and increased susceptibility to RV infection, despite an increased IFN response.
Recent studies have documented an association between chronic obstructive pulmonary disease (COPD) exacerbations and rhinoviral (RV) infection.
This study demonstrates that primary airway epithelial cells from patients with COPD produce greater levels of proinflammatory cytokines and IFNs in response to RV infection. This in vitro human system provides a valuable tool to study the pathogenesis of RV-induced COPD exacerbations.
Rhinovirus (RV) is a positive, single-stranded RNA virus from the Picornaviridae family that is responsible for the majority of common colds and virus-induced COPD exacerbations (4, 6–8). Several studies attest to the ability of RV to infect the lower airways, supporting the notion of RV involvement in COPD exacerbations (9–11). RV readily infects airway epithelial cells from normal subjects in vitro, inducing the expression of such inflammatory mediators as IL-8, GRO-α, ENA-78, IL-6, and TNF-α (12–15). Nevertheless, little is known about the role that RV-infected epithelial cells play in inciting and maintaining inflammatory responses in COPD. We therefore tested the hypothesis that airway epithelial cells from patients with COPD produce an exaggerated inflammatory response to RV infection.
This study was approved by the University of Michigan Investigational Review Board. Airway epithelial cells were isolated from the tracheas or bronchi of 10 lung transplant donors, the bronchi of 11 patients with COPD who were transplant recipients, and the bronchus of 1 patient with COPD undergoing lobectomy. All patients underwent a standardized evaluation, including postbronchodilator spirometry, detailed assessment of respiratory symptoms and high-resolution computed tomography (www.ltrcpublic.com). The latter allowed a characterization of the population of patients with COPD, including the presence of emphysema versus a chronic bronchitic phenotype. In addition, self-reported exacerbation history was assessed. Characteristics of the patients with COPD are shown in Table 1. Cells were grown at the air–liquid interface in Transwell inserts (Corning, Lowell, MA) to promote differentiation to a mucociliary phenotype (15, 16). Additional details are provided in the online supplement.
No. | Age (Yr) | Sex | FEV1 (%) | Smoking History (Pack-Years) | Emphysema |
---|---|---|---|---|---|
COPD | |||||
1 | 62 | Male | 25 | 28 | Severe |
2 | 53 | Female | 13 | 70 | Severe |
3 | 59 | Male | 13 | 26 | Severe |
4 | 55 | Female | 56 | 27 | Mild |
5 | 50 | Female | 17 | 31 | Severe |
6 | 65 | Male | 15 | 120 | Severe |
7 | 58 | Female | 25 | 70 | Moderate |
8 | 53 | Female | 14 | 37.5 | Moderate |
9 | 59 | Male | 22 | 70 | Severe |
10 | 49 | Female | 13 | 136 | Severe |
11 | 55 | Male | 17 | 25 | Severe |
12 | 45 | Male | 17 | 31.25 | None |
Normal donors | |||||
1 | 54 | Female | — | — | — |
2 | 59 | Male | — | — | — |
3 | 47 | Male | — | — | — |
4 | 48 | Male | — | — | — |
5 | 41 | Female | — | — | — |
6 | 50 | Female | — | — | — |
7 | 40 | Male | — | — | — |
8 | 48 | Female | — | — | — |
9 | 46 | Male | — | — | — |
10 | 51 | Male | — | — | — |
RV39 was obtained from ATTC (Manassas, VA), and viral stocks generated by infecting HeLa cells, as previously described (15). Additional details for partial purification of the virus are provided in the online supplement. Virus was titered by agarose overlay plaque-forming assay. Briefly, HeLa monolayers were infected with serially diluted RV39 (10−5 to 10−10 from initial stock), and the number of plaque-forming units per milliliter determined 3 days after infection (17).
Primary mucociliary-differentiated airway epithelial cell cultures were shifted to hydrocortisone-free media and incubated for 24 hours. Cells were inoculated apically with 30 μl of either RV39 at a multiplicity of infection of 1.0 or ultraviolet (UV)-irradiated RV and incubated at 33°C for an additional 24–48 hours. Phosphate-buffered saline (PBS)–treated cells served as negative control.
Differentiated airway epithelial cell cultures were fixed, sectioned, stained with hematoxylin and eosin or periodic acid Schiff (PAS) reagent, and examined by light microscopy. To semiquantify goblet cells, PAS-positive cells in 10 random fields per culture were counted and expressed as the number of positive cells per 100 μM.
Conditioned medium was collected and IL-8/CXCL8, IL-6, GRO-α/CXCL1, IFN-inducible protein (IP)-10/CXCL10, IFN-β, IL-29/ IFN-λ1 and IL28A/IFN-λ2 protein levels detected by multiplex immune assay (Bio-Rad, Hercules, CA) or ELISA (R&D Systems, Minneapolis, MN).
The mRNA expression of 40 genes involved in inflammation, oxidative stress, and proteolysis was assessed by focused gene array (SA Biosciences, Frederick, MD; see Table E1 in the online supplement). The genes surveyed are listed in Table 2. In addition, quantitative polymerase chain reaction (PCR) was used to determine levels of TIMP1, HDAC2, HDAC4, SIRT1, and NCOR. All PCR reactions were performed on an Eppendorf Mastercycler (Eppendorf, Westbury, NY) comparing threshold cycle number for target gene with reference gene. The amplification efficiencies of all target genes and the reference gene glyceraldehyde 3-phosphate dehydrogenase were similar.
24 h After Infection | 48 h After Infection | |||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Normal | COPD | Normal | COPD | |||||||||||
Symbol | UV-RV | RV | UV-RV | RV | UV-RV | RV | UV-RV | RV | ||||||
IFN genes | ||||||||||||||
IFNα1 | 1.48 | 1.53 | 1.15 | 1.30 | 1.43 | 1.09 | 0.78 | 1.3 | ||||||
IFNβ1 | 0.84 | 7.55 | 1.16 | 52.20* | 1.18 | 19.21 | 1.21 | 139.90* | ||||||
IFNγ | 0.68 | 0.87 | 0.89 | 0.95 | 0.85 | 1.31 | 0.76 | 0.95 | ||||||
IL28A/IFNλ2 | 1.24 | 37.35 | 1.25 | 14.49* | 1.19 | 54.37 | 1.09 | 253.22* | ||||||
IL29/IFNλ1 | 0.80 | 41.57 | 1.09 | 137.85* | 1.37 | 52.30 | 1.03 | 311.27* | ||||||
IFN-stimulated antiviral genes | ||||||||||||||
NOS2 | 1.19 | 1.92 | 1.43 | 6.52 | 0.98 | 1.22 | 0.85 | 7.46* | ||||||
MX1 | 0.85 | 4.75 | 0.89 | 12.02* | 0.86 | 6.37 | 0.75 | 23.94* | ||||||
MX2 | 1.00 | 7.97 | 0.84 | 19.35 | 0.96 | 8.35 | 0.78 | 48.40* | ||||||
ISG15 | 1.06 | 10.22 | 1.23 | 22.88 | 1.01 | 15.09 | 1.01 | 68.88* | ||||||
IFIT3 | 0.82 | 7.02 | 0.94 | 19.10 | 1.00 | 10.43 | 0.83 | 41.03* | ||||||
IFI16 | 0.91 | 1.61 | 0.90 | 2.32 | 0.85 | 1.63 | 0.96 | 3.48 | ||||||
IFI35 | 0.89 | 3.55 | 0.88 | 6.83 | 0.93 | 7.31 | 0.88 | 9.63* | ||||||
IFI44 | 0.87 | 2.80 | 0.96 | 4.70 | 1.02 | 4.23 | 0.98 | 8.60* | ||||||
IFIT1 | 0.66 | 17.41 | 0.91 | 57.66* | 0.89 | 25.46 | 0.64 | 122.12* | ||||||
IFIT2 | 0.84 | 6.71 | 0.85 | 22.30 | 0.98 | 9.77 | 0.79 | 56.30* | ||||||
RSAD2 | 0.45 | 14.23 | 0.77 | 76.77* | 0.60 | 36.61 | 0.62 | 180.07* | ||||||
OAS1 | 1.14 | 3.30 | 1.16 | 5.17 | 1.26 | 4.47 | 1.03 | 12.57* | ||||||
OASL | 0.98 | 41.31 | 0.89 | 53.18 | 0.88 | 49.01 | 0.80 | 124.28* | ||||||
Double-stranded RNA recognition receptors | ||||||||||||||
IFIH1/MDA5 | 1.16 | 1.19 | 1.14 | 4.47 | 1.13 | 2.90 | 1.05 | 9.76* | ||||||
DDX58/RIG-I | 0.90 | 3.79 | 0.89 | 8.03 | 1.02 | 5.29 | 0.88 | 13.37* | ||||||
DHX58 | 1.20 | 2.01 | 1.03 | 2.47 | 0.97 | 1.78 | 0.80 | 3.68* | ||||||
Oxidative stress | ||||||||||||||
NOX1 | 1.91 | 2.28 | 1.56 | 1.99 | 1.53 | 3.21 | 1.80 | 3.49 | ||||||
NOX5 | 0.91 | 1.28 | 0.96 | 0.79 | 0.84 | 1.12 | 0.59 | 0.59 | ||||||
DUOX1 | 1.51 | 1.93 | 1.47 | 2.10 | 1.57 | 1.91 | 1.43 | 4.18* | ||||||
DUOXA1 | 1.02 | 1.03 | 0.93 | 0.97 | 1.45 | 1.34 | 1.01 | 1.41 | ||||||
DUOX2 | 1.53 | 3.59 | 1.57 | 3.92 | 1.89 | 3.11 | 2.32 | 9.67* | ||||||
DUOXA2 | 4.16 | 9.32 | 3.77 | 10.85 | 3.51 | 10.82 | 3.62 | 28.73* | ||||||
Protease | ||||||||||||||
MMP12 | 1.43 | 2.12 | 1.61 | 2.25 | 1.29 | 1.03 | 1.21 | 1.74 | ||||||
Transcription factors | ||||||||||||||
IRF3 | 1.04 | 1.32 | 1.02 | 1.17 | 1.08 | 1.13 | 0.98 | 0.81 | ||||||
IRF7 | 1.21 | 3.48 | 1.02 | 5.45 | 1.16 | 5.14 | 0.97 | 10.54* | ||||||
STAT1 | 0.98 | 2.35 | 0.97 | 3.37 | 1.15 | 2.93 | 0.96 | 7.35* | ||||||
STAT2 | 0.91 | 1.36 | 0.90 | 1.48 | 1.00 | 1.39 | 0.80 | 2.49* | ||||||
Receptor proteins | ||||||||||||||
ICAM1 | 1.78 | 2.42 | 1.55 | 2.11 | 1.82 | 2.25 | 1.26 | 1.97 | ||||||
TREM1 | 0.72 | 1.36 | 1.01 | 1.70 | 1.19 | 2.03 | 1.30 | 2.55 | ||||||
PTAFR | 1.45 | 1.52 | 1.19 | 1.49 | 1.23 | 1.39 | 0.93 | 1.67 | ||||||
NLRP3 | 0.87 | 2.26 | 0.89 | 3.95 | 1.11 | 7.59 | 0.40 | 0.52 | ||||||
Other genes | ||||||||||||||
SOCS1 | 1.67 | 3.13 | 1.77 | 5.42 | 2.00 | 4.18 | 1.65 | 8.44 | ||||||
STAB1 | 1.28 | 2.15 | 1.04 | 0.94 | 1.84 | 1.36 | 2.10 | 0.66 | ||||||
CASP1 | 0.89 | 1.10 | 0.88 | 1.24 | 0.93 | 1.18 | 0.88 | 1.98* | ||||||
JAK2 | 0.97 | 1.30 | 1.04 | 1.58 | 1.33 | 1.32 | 1.06 | 2.24* |
After infection, positive-strand viral copy number was determined by quantitative PCR, as previously described (18), and the viral titer of basolateral media, cells, and apical mucus was determined. Additional details on this method are provided in the online supplement.
Data are presented as geometric mean and range. Data were compared by an unpaired t test, Mann-Whitney test, or nonparametric analysis of variance with Dunn's post hoc test, as appropriate.
All 12 patients with COPD had moderate to severe airflow obstruction, 8 had severe emphysema, 2 had moderate emphysema, whereas 2 had mild or no emphysema. Three patients met symptomatic criteria for chronic bronchitis, whereas six had at least one symptomatic exacerbation in the previous year. Epithelial cells were isolated from tracheobronchial segments of 12 patients with COPD and 10 normal donors, and passage 1 cells were cultured at the air–liquid interface. Similar to normal cells, COPD cells polarized and showed a transepithelial resistance between 400 to 800 Ω·cm2. There was no difference in growth rate between COPD and normal cells. Histological examination of culture cross-sections indicated that both normal and COPD cells differentiated into a mucociliary phenotype. In addition, COPD cultures showed more PAS-positive cells than the normal cell cultures, suggesting goblet cell metaplasia (Figure 1).
COPD is characterized by chronic airway inflammation. To test whether a proinflammatory phenotype is maintained in cultured airway epithelial cells, basolateral media from control and COPD cultures was collected and assayed for cytokines by ELISA. Compared with normal, COPD cultures showed significantly increased levels of IL-6, IL-8/CXCL8, and GRO-α/CXCL1, indicating a persistence of certain proinflammatory changes (Figure 2). A similar pattern was found in the apical washes of these cultures, although the absolute levels of cytokines were lower (data not shown). The cytokine expression of individual cultures was independent of the history of patient-reported exacerbations. In addition, there was no correlation between emphysema score, age, or sex and basal levels of IL-8 protein, our primary outcome variable (data not shown). Finally, there were no changes in the protein secretion of IL-1β, TNF-α, IFN-γ, or IL-18 (data not shown), and IFN-α and -β levels were undetectable in both normal and COPD cultures.
Exacerbations of COPD are associated with elevated levels of proinflammatory cytokines in the airways (1–5), and RV is responsible for the majority of virus-induced exacerbations (4, 6–8). We therefore measured the cytokine response of mucociliary-differentiated airway epithelial cell cultures from normal subject and patients with COPD after inoculation with RV39, UV-irradiated, replication-deficient RV39, or PBS. Relative to their respective PBS-treated control cells, both normal and COPD cells showed two- to fourfold increases in IL-8/CXCL-8, IL-6, and GRO-α/CXCL-1 production in response to viral infection (Figure 2). In agreement with data from our laboratory (15, 18, 19) and from others (14, 20–22), UV-irradiated virus also elicited a brisk response, consistent with the notion that binding and endocytosis of the virus are sufficient for a subset of replication-independent RV responses. Finally, after infection, COPD cells showed higher absolute concentrations of all three cytokines than the normal cells (Figure 2).
Viral load was determined by measuring viral copy number by reverse transcriptase–PCR and the amount of infectious virus in cell lysates combined with basolateral media and apical washes. Importantly, COPD cells showed a significantly higher viral load than the normal cells at both time points (Figure 3). To assess whether the increased viral load was due to deficient production of IFN, we measured the levels of IFN-β, IFN-λ1, and IFN-λ2 after infection. Analogous to the cytokine data, both normal and COPD cells showed increased expression of IFN-λ1 and IFN-λ2 at 24 and 48 hours after infection compared with their respective PBS or UV-irradiated RV cells (Figure 4). IFN-β levels, on the other hand, were below the detection limit in both normal and COPD cells. Normal and COPD cultures also showed increased levels of IP-10/CXCL-10 in response to RV infection. In contrast to the IL-6, IL-8/CXCL-8 and GRO-α/CXCL-1 responses, IFN-λ1, IFN-λ2, and IP-10/CXCL-10 responses were replication dependent. Finally, 48 hours after infection, COPD cells showed higher absolute concentrations of IFN-λ1, IFN-λ2, and IP-10/CXCL-10 than the normal cells. These results do not support deficient IFN-λ1 or IFN-λ2 production as a cause of the increased viral load in cells from patients with COPD.
Total RNA was isolated from normal and differentiated COPD cultures and subjected to focused gene arrays. Fold changes in basal gene expression between normal and COPD cultures are shown in the online supplement (Table E2). Of the 45 genes tested, COPD cells showed significant increases in the mRNA expression of genes encoding matrix metalloproteinase (MMP) 12 and components of reduced nicotinamide adenine dinucleotide phosphate oxidase, including Nox1 and DuoxA2 (Figure 5). At the same time, mRNA expression of NOS2, the gene encoding induced nitric oxide (NO) synthase (NOS), was significantly decreased in COPD cells compared with normal cells. This pattern of gene expression is consistent with the increased oxidant and protease stress characteristic of COPD. We also observed increased levels of mRNAs encoding intercellular adhesion molecule (ICAM)–1, triggering receptor expressed on myeloid–1, retinoic acid–inducible gene (RIG)–I, IFN-α, 2′-5′ oligonucleotide synthase–like, and the transcription factors, signal transducer and activator of transcription (STAT)1 and STAT2 (Figure 6).
Increased production of proinflammatory cytokines and MMPs in COPD lungs and alveolar macrophages has been shown to be related to reduced HDAC2 expression (23–25). In cultured mucociliary-differentiated airway epithelial cells, however, there was no decrease in HDAC2 or HDAC4 expression at the mRNA level. Nonetheless, we did observe a tendency toward decreased expression of transcription repressors, SIRT1 and NCOR (Figure 7).
Through the use of the focused gene array, we also determined RV-induced changes in the mRNA expression of genes involved with inflammation, oxidative stress, and proteolysis 24 and 48 hours after infection. Both control and COPD cultures demonstrated increased expression of IFN and IFN-stimulated genes in response to RV infection, including IFNβ, IL28A/IFNλ2, and IL29/IFNλ1 (Table 2). Indeed, compared with normal cells, the response of COPD cultures to RV infection was increased at 48 hours for several genes, including the IFNs, IFIH1/MDA5, DDX58/RIG-I, Duox1, Duox2, IRF7, STAT1, and STAT2.
This analysis of inflammatory mediator expression in cultured mucociliary-differentiated airway epithelial cells from patients with COPD, and their response to RV39 infection, reveals several novel findings. Compared with control cells from lung transplant donors, we found that basal levels of the C-X-C chemokines, IL-8/CXCL8 and GRO-α/CXCL1, as well as the cytokine, IL-6, were elevated in airway epithelial cells from patients with COPD. These findings demonstrate a persistent proinflammatory phenotype in COPD airway epithelial cells, and are consistent with the previously reported increases in IL-8/CXCL8, GRO-α/CXCL1, TNF-α, IL-1β, and MCP-1/CCL2 in the sputum and lung tissue of patients with COPD (26–28). However, we show, for the first time, that this proinflammatory phenotype is maintained in early passage airway epithelial cells. In addition, COPD airway epithelial cells produced increased amounts of the same inflammatory mediators after RV infection. The finding that RV-infected airway epithelial cells from patients with COPD showed increased levels of IL-8/CXCL8, GRO-α/CXCL1, and IL-6 compared with infected control cells is consistent with observed cytokine profiles in patients experiencing COPD exacerbations (1–5). After RV infection, COPD cultures showed higher viral titers and viral RNA copy number, despite greater production of IFN λ1 and IFN-λ2. Finally, mRNA expression of genes involved with oxidative stress and the response to viral infection were significantly elevated in COPD cells. In addition to defining several factors that could contribute to the exaggerated lung inflammation suffered by patients with COPD during RV infection, this cell culture model may facilitate future studies examining mechanisms of airway inflammation in vivo.
Oxidative stress appears to be a major factor in the development of airway inflammation in COPD. Exhaled breath hydrogen peroxide levels (29) and plasma lipid peroxidation products (30) are increased in patients with COPD. Oxidative stress, in turn, may activate the inflammatory response via redox regulation of the inhibitor(I)-κB/nuclear factor (NF)–κB signaling pathway. Increased expression and nuclear localization of NF-κB has been noted in the airway epithelium of smokers and patients with COPD (31). In our study, mucociliary-differentiated airway epithelial cells isolated form patients with COPD exhibited elevated mRNA expression of the hydrogen peroxide–generating enzymes, DUOX1 and DUOX2, consistent with the notion that oxidative stress is increased in the airway epithelium of patients with COPD. These enzymes are important sources of hydrogen peroxide production, and play a role in airway host defense. Our results differ from those of a recent study, which demonstrated that mRNA expression of DUOX1 was down-regulated, and DUOX2 up-regulated, in current smokers, whereas both were down-regulated in patients with mild/moderate COPD (32). The discrepancy between our results and those of the latter study may be due to differences in disease severity, as the majority of epithelial isolates in our study were taken from patients with severe COPD.
Cigarette smoke has been shown to oxidize and inactivate HDAC2, allowing proinflammatory NF-κB transcriptional complexes to bind to DNA, thereby increasing the transcription of genes encoding proinflammatory cytokines. HDAC2 activity is decreased in bronchoalveolar lavage macrophages and biopsies of smokers and patients with COPD, and HDAC2 levels inversely correlate with inflammatory gene expression (23–25). We did not note differences in HDAC expression between airway epithelial cells isolated from control subjects and patients with COPD, perhaps because our patients, all but one of whom underwent lung transplantation, stopped smoking at least 6 months before surgery. However, we also monitored the mRNA expression of another histone deacetylase enzyme, SIRT1, which regulates the expression of proinflammatory genes via the NF-κB pathway, and is reduced in the lungs of patients with COPD (33). There was a trend toward reduced SIRT1 expression in cultures from patients with COPD.
The elevated MMP12 mRNA expression in cultures from patients with COPD is noteworthy, given the important role that proteases has been posited to play in the development both of emphysema and of peribronchial fibrosis. MMP12 is increased in the sputum of patients with COPD (34). Although MMP12 is generally considered to be principally a macrophage product, epithelial cells are clearly capable of MMP12 production and secretion (35). In addition, we saw a reduction in expression of the nuclear receptor corepressor (NCoR), NCoR1. NCoR1 has been shown to repress the activation of a battery of AP-1–regulated proinflammatory genes—among them, MMP12 (36).
After RV infection, viral titer and copy number were significantly increased in airway epithelial cells from patients with COPD, suggesting that these cells are somewhat more susceptible to RV infection. At first blush, our data are consistent with findings from airway epithelial cells isolated from patients with asthma, another chronic airways disease. Viral replication was significantly increased in cells from subjects with asthma infected with RV16 ex vivo (37, 38). Asthmatic airway epithelial cells also showed reduced levels of IFN-β, -λ1, and -λ2,3 production. In contrast, we found increased IL-29/IFN-λ1 and IL-28/IFN-λ2 responses in the cells of patients with COPD. We also found increased protein expression of IP-10/CXCL10, an IFN-inducible monokine. Taken together, these data suggest that, in airway epithelial cells from patients with COPD, increased viral load leads to enhanced type III IFN responses. Interestingly, two recent reports have shown no difference in IFN response between RV-infected airway epithelial cells from control subjects and those with asthma (39, 40).
Although IL-29/IFN-λ1 mRNA and protein levels were increased in RV-infected COPD epithelial cells, we could not detect IFN-β protein in conditioned medium, despite the higher levels of IFNβ mRNA in COPD cells. One possible explanation for this discrepancy is the inefficient translation of host proteins in RV-infected cells. RV and other picornaviruses have been shown to inhibit or shut down host protein synthesis by cleaving elongation initiation factor 4G in susceptible cells (41, 42).
Another host mediator that regulates RV replication is NO. Expression of induced NOS (iNOS) or NOS2 is up-regulated during RV infection both in vitro and in vivo (43). Expression of iNOS correlates with exhaled NO levels, which in turn correspond to increased viral clearance and lower symptom scores in experimentally infected subjects (44). In the present study, we found that, although COPD cells expressed significantly less NOS2 mRNA than normal cells under unstimulated conditions, they expressed nearly identical levels of NOS2 after RV infection. Despite similar levels of NOS2 and increased levels of IFN, RV replication was increased in COPD cells compared with normal cells. These data suggest that other antiviral mechanisms, in addition to NOS2 and IFNs, regulate RV replication in infected epithelial cells. In support of this, our recent studies indicate that Toll-like receptor 3 knockout mice clear RV as efficiently as wild-type mice, despite decreased IFN responses (M.B.H., unpublished data). The observed susceptibility of COPD airway epithelial cells may be explained by increased mRNA expression of ICAM1, a receptor for binding of most RV isolates. High levels of ICAM-1 expression could also lead to increased cytokine responses (45). Increased ICAM-1 expression has been noted in pulmonary fibroblasts of patients with COPD (46).
A limitation of the current study is the absence of data verifying reduced protein expression of nonsecreted proteins, such as NOX1, DUOXA2, NOS2, RIG-I, SIRT1, and NCoR1. Samples of airway tissue are extremely difficult to obtain, and limited numbers of passage 1 mucociliary-differentiated cells can be grown from each sample. We were therefore forced to limit our studies to cellular mRNA and supernatant protein levels. We have attempted to verify our results in later-passage, nondifferentiated cells, but the differences were less robust. We are currently defining the culture conditions needed to maintain the altered epithelial cell phenotype. It would not be surprising if the phenotype diminished with repeated passages, as the original stimulus, be it oxidative stress, proteases, or chronic infection, is not maintained ex vivo.
An additional limitation of the current study is the sampling of a cohort of patients with COPD with predominantly severe airflow obstruction. However, we found no correlation between emphysema score and basal levels of IL-8 protein (our primary outcome) or RV-induced IL-28 and IL-29A levels, suggesting that the proinflammatory phenotype is not strictly limited to patients with severe disease. On the other hand, it is this population that is generally afflicted with a higher frequency and severity of clinical exacerbations.
Finally, we acknowledge that, in many cases, there was a significant overlap in gene expression between control and COPD cultures. This overlap suggests that the phenotypic changes observed in patients with COPD are not uniform across the patient population. The observed heterogeneity likely results from differences in airway bacterial colonization, exposure to tobacco smoke and other environmental factors, and differences in genetic background.
In conclusion, airway epithelial cells from patients with COPD exhibit a proinflammatory phenotype and altered responses to RV infection. Furthermore, COPD cultures showed increased susceptibility to viral infection, despite increases in IFN expression. This cell culture model may facilitate future studies examining the underlying biochemical mechanisms responsible for airway inflammation in COPD, as well as the susceptibility of these patients to viral-induced exacerbations.
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