Abstract
Rhinovirus (RV) exposure evokes exacerbations of asthma that markedly impact morbidity and mortality worldwide. The mechanisms by which RV induces airway hyperresponsiveness (AHR) or by which specific RV serotypes differentially evoke AHR remain unknown. We posit that RV infection evokes AHR and inflammatory mediator release, which correlate with degrees of RV infection. Furthermore, we posit that rhinovirus C–induced AHR requires paracrine or autocrine mediator release from epithelium that modulates agonist-induced calcium mobilization in human airway smooth muscle. In these studies, we used an ex vivo model to measure bronchoconstriction and mediator release from infected airways in human precision cut lung slices to understand how RV exposure alters airway constriction. We found that rhinovirus C15 (RV-C15) infection augmented carbachol-induced airway narrowing and significantly increased release of IP-10 (IFN-γ–induced protein 10) and MIP-1β (macrophage inflammatory protein-1β) but not IL-6. RV-C15 infection of human airway epithelial cells augmented agonist-induced intracellular calcium flux and phosphorylation of myosin light chain in co-cultured human airway smooth muscle to carbachol, but not after histamine stimulation. Our data suggest that RV-C15–induced structural cell inflammatory responses are associated with viral load but that inflammatory responses and alterations in agonist-mediated constriction of human small airways are uncoupled from viral load of the tissue.
Keywords: asthma, rhinovirus, bronchitis, wheezing, exacerbations
Rhinovirus (RV) exposure frequently evokes asthma exacerbations in adult and pediatric populations. Although it is well understood that airway hyperresponsiveness (AHR) is a key contributor to asthma exacerbations, the underlying mechanisms by which RV infection evokes AHR are undefined. Several model systems have been used to study the effects of RVs, including single-cell–type culture systems, co-culture systems of different cell types, murine model systems, and in vivo human studies of RV exposure (1–12).
RVs are single-stranded, positive sense RNA enteroviruses that for many years were classified on the basis of immunoreactivity to antibodies, and individual RVs were termed “serotypes.” Using whole-genome sequencing, we have now shown that RVs consist of over 160 genetically defined types within three species: RV-A, RV-B, and RV-C (13). These findings arose from studies in which sequencing approaches ascertained the complete genomes of all named RV serotypes, as well as field isolates, with subsequent phylogenetic relationships determined. Various studies suggest heterogeneity of the inflammatory or AHR phenotypes among different RVs (1, 3, 12, 14–23).
Recently, RV-C was identified in multiple field studies of wheezing children (13, 24, 25) and may be associated with severe disease (26, 27). Although RV-C strains are difficult to propagate in culture (2, 28–30), we have successfully grown and sequenced a representative strain termed “rhinovirus C15” (RV-C15) (24, 25, 30). Studies have shown that some RV species are most prevalent in children and adults during wheezing illnesses. For example, Xiao and colleagues demonstrated that RV-C, rather than RV-A or RV-B serotype, was most commonly present in nasopharyngeal aspirates of wheezing children (31). Given these data, we chose to study RV-C15 on the basis of associations with asthma exacerbations and human airway disease. We used human precision cut lung slices (hPCLS) to study the physiologic and biochemical responses after RV infection, and we cultured primary human airway epithelial cells (HAEC) and human airway smooth muscle cells (HASM) from the same donor to assess changes in agonist-induced contractile signaling after RV infection of the epithelium.
Methods
Materials
Carbachol (carbamoyl choline chloride [Cch]), histamine (histamine dihydrochloride [Hist]), and perchloric acid were purchased from Sigma-Aldrich. Antibodies for detection of phosphorylated Akt, pMLC (phosphorylated myosin light chain), and Akt were purchased from Cell Signaling Technology. Myosin light chain (MLC) antibody was purchased from EMD Millipore. Radioimmunoprecipitation assay buffer was purchased from Cell Signaling Technology. RV-C15 was produced by RNA transfection; clarified lysates were treated with RNase A; and virus was purified by ultracentrifugation through a 30% sucrose cushion.
hPCLS Preparation and Measurement of Bronchoconstriction
hPCLS were prepared as previously described (32). Human lung tissue from aborted lung transplants was obtained from anonymous donors according to procedures approved by the Rutgers University Institutional Review Board. The hPCLS were derived from nonasthma lung donors with no history of chronic disease or smoking, with donor demographics shown in Table E1 in the data supplement. Briefly, whole human lungs were dissected and inflated using 2% (wt/vol) low–melting-point agarose. Once the agarose was set, the lung lobes were sectioned, and cores of 8 mm diameter were made. The cores that contained a small airway by visual inspection were sliced at a thickness of 350 μm (VF300 Vibratome; Precisionary Instruments) and collected in wells containing supplemented Ham’s F-12 medium. Suitable airways (≤1-mm diameter) in slices were selected on the basis of the following criteria: presence of a full smooth muscle wall, presence of beating cilia, and unshared muscle walls at airway branch points to eliminate possible counteracting contractile forces. Slices were incubated at 37°C in a humidified air/CO2 (95%/5%) incubator and were rinsed with fresh media two or three times to remove agarose and endogenous substances released that variably confound the production of inflammatory mediators and/or alter airway tone. Slices were then incubated with diluent (dilution of 30% sucrose solution) or RV-C15 (105–107 plaque-forming unit (pfu), produced by reverse genetics [30]). hPCLS were exposed to RV (or diluent) at the indicated concentrations for 48 hours before the bronchoconstrictive response to Cch was tested. Slices were washed with media and then exposed to a dose response (10−8–10−4 M) of Cch, and the luminal area was measured to calculate bronchoconstriction compared with baseline.
Luminal area measurements were performed using methods previously described in detail (32). Briefly, lung slices were placed in a 12-well plate in media and held in place using a nylon weight with platinum attachments. The airway was located using a microscope (magnification, ×40; Nikon Eclipse, model no. TE2000-U; Nikon Instruments) connected to a live video feed (Evolution QEi, model no. 32-0074A-130 video recorder; MediaCybernetics). Airway luminal area was measured using Image-Pro Plus software (version 6.0; MediaCybernetics) and represented in units of square micrometers (33). The luminal area of each airway at baseline and at each Cch dose was calculated using Image-Pro Plus software, and percentage bronchoconstriction was plotted against increasing Cch concentrations and fit to a sigmoidal dose–response curve. Maximal bronchoconstriction, a measure of the sensitivity of the airways to Cch (log of the effective concentration to induce 50% bronchoconstriction [Log EC50]), and the integrated response to contractile agonist, defined as the area under the curve (AUC), were calculated from the dose–response curves generated using Prism software (version 5; GraphPad Software) and compared.
Isolation and Cultivation of HASM and HAEC
HASM cells were derived from tracheas obtained from the National Disease Research Interchange and from the International Institute for the Advancement of Medicine. HASM cell culture was performed as described previously (34). The cells were cultured in Ham’s F-12 medium supplemented with 10% FBS, 100 U/ml penicillin, 0.1 mg/ml streptomycin, and 2.5 mg/ml amphotericin B, and this medium was replaced every 72 hours. HASM cells in subculture during passages 1–5 were used, because these cells retain the expression of native contractile protein, as demonstrated by immunocytochemical staining for ACTA2 and myosin (34). HAEC were derived from the same tracheas from which the HASM were derived. The cells were cultured on Transwell inserts (Corning) and fed both apically and basally with Pneumacult-Ex Basal Media (STEMCELL Technologies) until confluent. The cells were then differentiated at the air–liquid interface (ALI) for 21 days before stimulation. The HASM and HAEC were derived from nonasthma donors, as shown in Table E1.
Inflammatory Mediator Analysis
Tissue culture supernatants were obtained from the same slices that were used for the contractility experiments. Inflammatory mediator analysis was performed using single-analyte ELISAs (R&D Systems) for IL-6, MIP-1β (macrophage inflammatory protein-1β), and IP-10 (IFN-γ–induced protein 10) (n = 6 donors with ≥3 slices/condition). Data are expressed as picograms of mediator concentrations divided by total protein content of tissue culture supernatants, and as fold change of RV stimulated compared with diluent stimulated.
Detection of RV RNA
Slices were washed after the incubation with RV and processed for mRNA extraction. Briefly, hPCLS were pooled for each treatment, suspended in RNA lysis buffer, and lysed using a TissueLyser (Qiagen). Lysates were then run through a QIAshredder column before purification using the RNeasy kit (Qiagen). The mRNA isolated was converted to cDNA using the ThermoScript RT-PCR kit (Thermo Fisher Scientific). Viral load from the cDNA generated was assessed by qPCR using Power SYBR Green PCR Master Mix (Applied Biosystems) with the following primers: forward primer: 5′-CCTCCGGCCCCTGAAT-3′; reverse primer: 5′-AAACACGGACACCCAAAGTAGT-3′. Viral load was expressed both as raw numbers (pfu of replicates run) and as fold change of RV stimulated compared with diluent stimulated, because some tissue may already have been exposed to other types of RV. (Baseline concentrations of RV were detected in some samples.)
Immunoblot Analysis
Confluent ALI-differentiated HAEC plated on Transwell inserts were exposed to RV-C15 (106 pfu = multiplicity of infection ∼1; 48 h) with HASM medium cultured under the insert. HAEC-conditioned medium was transferred to serum-starved HASM cells for 48 hours. Cells were then stimulated with Cch (10 μM; 10 min) or Hist (1 μM; 10 min). Cells were then treated with 500 μM perchloric acid; plates were scraped; and cells were pelleted. Pellets were solubilized in radioimmunoprecipitation assay buffer before being subjected to SDS-PAGE and transferred to nitrocellulose membranes, as previously described (35). pMLC (Cell Signaling Technology) and pAkt (Cell Signaling Technology) were assessed, and band densities were normalized to total MLC (anti-MLC-2; EMD Millipore) and Akt (Cell Signaling Technology).
Intracellular Calcium Flux Measurement
[Ca2+]i was measured using the Fluo-8 Calcium Flux Assay Kit (Abcam). Confluent HASM cells were incubated with Fluo-8 dye for 1 hour at 37°C. After Fluo-8 incubation, fluorescence intensity was measured using the CLARIOstar microplate reader (BMG LABTECH). Baseline fluorescence intensity was measured for 10 seconds; Cch (10 μM final; Sigma-Aldrich) was autoinjected into the well; and fluorescence intensity was measured for 160 seconds. [Ca2+]i fluorescence intensity was normalized to baseline fluorescence intensity.
Statistical Analysis
GraphPad Prism software was used to determine normality of the distribution of the data (raw values as well as fold change compared with control buffer) and statistical significance. Normality was assessed via D’Agostino and Pearson omnibus normality test before either t test or ANOVA. Statistical significance (both compared with buffer control, as well as between the conditions for a given experiment) was evaluated via unpaired Student’s t tests for two-group comparisons or ANOVA for multiple-group comparisons with either Bonferroni’s or Dunn’s posttest, depending on the normality of the distribution of the data for the hPCLS data. For the HASM data, paired Student’s t tests for two-group comparisons were used to assess significance. P values less than 0.05 were considered significant. Associations between parameters were assessed using linear regression analysis, with R2 and P values reported in the text and Table 1.
Table 1.
Variables Plotted (Fold Change vs. Control) | R2 Value | P Value |
---|---|---|
IP-10 release vs. RV-C15 detected | 0.28 | 0.36 |
IL-6 release vs. RV-C15 detected | 0.22 | 0.42 |
MIP-1β vs. RV-C15 detected | 0.96 | 0.003 |
Change in sensitivity (Log EC50) vs. RV-C15 detected | 0.29 | 0.35 |
Change in total response (AUC) vs. RV-C15 | 0.03 | 0.79 |
IP-10 release vs. change in total response (AUC) | 0.14 | 0.53 |
IL-6 release vs. change in total response (AUC) | 0.86 | 0.02 |
MIP-1β vs. change in total response (AUC) | 0.05 | 0.71 |
Change in sensitivity (Log EC50) vs. IL-6 release | 0.01 | 0.87 |
Change in sensitivity (Log EC50) vs. IP-10 release | 0.06 | 0.69 |
Change in sensitivity (Log EC50) vs. MIP-1β release | 0.45 | 0.45 |
Definition of abbreviations: AUC = area under the curve; IP-10 = IFN-γ–induced protein 10; Log EC50 = log of effective concentration to induce 50% bronchoconstriction; MIP-1β = macrophage inflammatory protein-1β; RV-C15 = rhinovirus C15.
Data represent n = 5 separate donors.
Results
RV-C15 Infection Increased Sensitivity to Cch-induced Bronchoconstriction
hPCLS were prepared from nonasthma lung donors and infected with RV-C15 (105–107 pfu) for 48 hours. Bronchoconstriction in response to Cch, a muscarinic receptor agonist, was assessed in slices and compared with that treated with diluent. With diluent alone (no virus; control), the EC50 for Cch-mediated constriction was approximately 3 μM. As shown in Figure 1, RV-C15 exposure induced a 100-fold leftward shift in the cumulative response curve for Cch with an EC50 of approximately 0.03 μM. In addition, the AUC at this concentration of virus increased by approximately 40% compared with diluent. The maximal constriction was unaffected. Interestingly, although studies show that RV-A and RV-C serotypes are associated with more severe asthma exacerbations, many RV-A strains had little effect on airway responsiveness to Cch (Figure E1). These data are consistent with our previous observations (5). Taken together, these results suggest that RV-C15 enhanced Cch-mediated airway constriction by increasing the sensitivity of the airways to a contractile agonist, as well as by increasing the overall response, represented by the AUC.
RV-C15 Infects hPCLS and Elicits Mediator Release, whereas Viral Load Correlates with Levels of MIP-1β, IL-6, and Cch-induced Bronchoconstriction
RV-C15 RNA was detected at concentrations significantly above control buffer–stimulated tissue, but the fold increase between doses of RV-C15 was similar over the dose response (Figure 2). We found that RV-C15 increased supernatant concentrations of IP-10, IL-6, and MIP-1β, but there was little difference in release among doses of RV-C15 (Figure 3). Interestingly, exposure to RV-C15 had little effect on concentrations of TNF-α, IL-1β, IL-33, TGF-β (transforming growth factor-β), or IL-13 (Table E2), cytokines or growth factors known to induce AHR in hPCLS or augment agonist-induced contractile signaling in HASM (32, 33, 36–40). After exposure to RV-C15, a correlation was found between viral load (at 107 pfu treatment condition/control buffer) and MIP-1β release (R2 = 0.96; P = 0.003) (Table 1). To determine if there were any associations between RV-C15–induced AHR, mediator release, and viral load, we used linear regression analysis of the following parameters: changes in sensitivity of the airways to Cch; the magnitude of the response (AUC); viral load; and release of IP-10, IL-6, or MIP-1β. IP-10, IL-6, or MIP-1β concentrations served as surrogates of RV-induced inflammatory markers. Our data show that increased MIP-1β or IP-10 concentrations were poorly correlated with changes in sensitivity of the airways or total response, but that IL-6 correlated with change in total response to Cch-induced bronchoconstriction (R2 = 0.86; P = 0.02) (Table 1).
RV-C15 Infection Enhances Agonist-induced Intracellular Calcium Flux and pMLC but Not pAkt
To address the molecular mechanisms by which RV-C15 promotes AHR, we used a media transfer model of an RV-C15–infected, ALI-differentiated HAEC to HASM. To date, few studies have used a co-culture model of HAEC with HASM to interrogate interactions between these cell types after RV-A16 exposure (10, 41). Given the hyperresponsiveness observed after RV-C15 exposure of hPCLS, we hypothesized that exposure of HAEC to RV-C15 would enhance agonist-induced contractile pathways in HASM to induce AHR. We stimulated HAEC (106 pfu; 48 h) and measured agonist-induced calcium flux and pMLC and Akt (pAkt) in HASM after media transfer from the HAEC to the HASM. We demonstrate that after HAEC exposure to RV-C15, Cch- but not Hist-induced intracellular calcium flux in HASM was augmented compared with buffer control stimulation of HAEC (Figure 4). Cch and Hist alone induced pMLC, but only Cch- and not Hist-induced pMLC in HASM was augmented after HAEC exposure to RV-C15 (Figure 5). We previously demonstrated that Cch-induced activation of PI3K p110δ induced and maintained pMLC. To ascertain whether RV-C15 exposure was inducing augmented pMLC through this pathway, we examined agonist-induced Akt phosphorylation (pAkt, a surrogate readout of PI3K activation) in HASM in the absence and presence of RV-C15 exposure of HAEC. We show that Cch, but not Hist, induces pAkt. Unlike pMLC, Cch-induced pAkt phosphorylation is not augmented by exposure to RV-C15 (Figure 6). Given that RV-A and RV-C serotypes have been postulated to induce severe asthma exacerbations, we next examined whether RV-A16 exposure of HAEC altered agonist-induced calcium concentrations in HASM. We demonstrate that unlike exposure to RV-C15, HAEC exposure to RV-A16 had little effect on Cch-induced calcium mobilization in HASM (Figure E2). Taken together, our findings suggest that RV-C15 exposure of HAEC modulates muscarinic receptor–induced contractile signaling in HASM through calcium mobilization pathways to enhance potential contraction through actin–myosin cross-bridging.
Discussion
RV infection represents the leading cause of exacerbations of underlying airway diseases and has been postulated to be important in the development of asthma. In vitro studies have mainly focused on RV-A and RV-B serotype exposure of single cells, with few using an integrated cell- or tissue-based platform. A number of groups have examined whether the RV-A or RV-C serotype elicits greater inflammation and symptoms. Nakagome and colleagues demonstrated that exposure of ALI-differentiated epithelial cells to RV-A, RV-B, and RV-C serotypes elicited inflammatory mediator release that was equivalent among RV-A and RV-C serotypes, but RV-B serotypes elicited diminished concentrations, which was attributed to slower rates of replication of RV-B serotypes (8). In children and adults, RV-A and RV-C serotypes were commonly identified in clinical samples from subjects, and wheezing in subjects was more often associated with the presence of RV-A and RV-C rather than RV-B (42). Our studies used hPCLS and HAEC/HASM co-cultures derived from non-diseased donors to examine the effects of RV-C15 exposure on structural cells of the airways, inflammatory mediator concentrations, and alterations in contractility of the airways. We used small airways and structural cells isolated from human lungs infected with RV-C15 for 48 hours to examine all of our parameters, physiologic and inflammatory, on the basis of two lines of evidence: 1) clinical observations by other investigators after RV exposure and 2) our own studies showing that amplification of contractile agonist–induced bronchoconstriction and mediator concentrations are augmented consistent with a late-phase response to virus (data not shown). We found that RV-C15 augmented Cch-induced bronchoconstriction in hPCLS (Figure 1). Although numerous studies demonstrate that RV-A and RV-C serotypes are associated with severe asthma exacerbations, we did not observe increased airway responsiveness to many RV-A strains (Figure E1), which is consistent with our previous observations (5).
The idea that increased viral load equates to greater symptom burden has been fairly widely accepted until relatively recently. Kennedy and colleagues demonstrated in a cohort exposed to RV-A16 that there were no differences in viral load in children and adults with and without asthma and that atopic status had no bearing on viral load detected (6). Another study suggested that viral infection is critical to the enhancement of mediator release and airway inflammation (43). A study of a pediatric population with asthma found that RV was associated with asthma exacerbations, but that type III IFN-λ1 concentrations measured were a strong predictor of wheezing, regardless of the presence of RV in the samples. Interestingly, of the children with detectable RV, the viral load measured was not different between those who were wheezing and those who were not (44). These investigators showed little association among inflammatory mediators released after RV exposure and wheezing. In pediatric and adult subjects after RV infection, greater than 105 RNA copies per milliliter (considered to be high amounts of virus detected) manifested upper and lower respiratory symptoms, but the viral load was poorly correlated with the kinetics of the clinical symptoms (45). In our ex vivo hPCLS system, we found that RV-C15 viral load correlated with RV-C15–induced concentrations of MIP-1β and in part concentrations of IL-6. However, we showed no association between viral load and increased AHR after RV-C15 infection. Our data suggest that viral load is uncoupled from AHR and that our measured inflammatory responses to virus are not associated with AHR. Viral load, however, correlated with increased concentrations of MIP-1β and IL-6. Further studies are needed to characterize whether donor and underlying disease states modulate viral responses and AHR.
Studies in our laboratory and others have noted that inflammatory mediators enhance responses to contractile agonists. Therefore, we hypothesized that after RV-C15 exposure of HAEC, HASM exposed to HAEC-conditioned media would show augmented contractile signaling. The enhancement of contractile signaling we observed in the hPCLS would therefore be mimicked in an in vitro cell system. To test this, we examined intracellular calcium flux, pMLC, and activation of PI3K (pAkt), markers of contractile signaling in HASM, some of which are augmented after exposure to inflammatory mediators (32, 39). We demonstrate that Cch-induced intracellular calcium flux and pMLC, but not pAkt, are augmented after RV-C15 exposure. Stimulation with Hist demonstrated that the augmentation of agonist-mediated calcium flux and pMLC is agonist selective after RV-C15 exposure. These data suggest that RV-C15–dependent augmentation of Cch-induced HASM contraction occurs through calcium-dependent mechanisms. In other cell types, changes in intracellular calcium flux mediate processes such as viral entry into the cell, activation of cell stress and apoptosis, propagation of the virus, and modulation of an inflammatory response (46–48), with there being a direct interaction between RV and different cell types, including immunocytes and epithelial cells. Our system, however, shows that, in the absence of direct cell contact between RV-C15 and HASM, exposure of HAEC to RV-C15 elicits greater Cch-induced intracellular calcium flux in HASM, suggesting that release of a soluble mediator(s) from HAEC may modulate the augmented contractility of the HASM that we observed. Accordingly, we sought to identify whether mediators that we and others have shown to induce AHR in hPCLS or in HASM (32, 33, 36–40) were increased by RV-C15 exposure in hPCLS or HAEC. Exposure to RV-C15 had little effect on TNF-α, IL-1β, IL-33, TGF-β, or IL-13 release (Table E2). Because RV-A and RV-C serotypes have been postulated to precipitate severe asthma exacerbations, we next examined the effect of RV-A16 exposure of HAEC on agonist-induced calcium flux in HASM. We demonstrated that, unlike exposure to RV-C15, HAEC exposure to RV-A16 had little effect on Cch-induced intracellular calcium flux in HASM (Figure E2). Our studies also show that structural cells of the airways are the likely targets that respond to RV to evoke AHR, because our observations occur in the absence of inflammatory cells. To our knowledge, our study is the first to show that RV exposure of airway cells modulates contractility of the airways via augmentation of calcium-dependent signaling in HASM.
Although our system has the advantage of being intact lung tissue and a complex multicellular system, our model has limitations. hPCLS lacks circulating immune cells, and therefore our findings need to be interpreted within this context. However, the integrated hPCLS model contains cells, including epithelial cells and airway smooth muscle cells, providing intact cell layers that would be among the first cell types to be exposed to inhaled RV. In addition, the presence of small airways within each lung slice allows us to measure both inflammatory mediator release and contractile responses of the airways from structural cells in their native state in the lungs. Our studies were performed in lungs procured from subjects without asthma. Clinical studies have noted that exposure to a single RV-A strain elicited increased symptoms in subjects with asthma compared with subjects without asthma (6, 12, 43, 49, 50). Recently, we demonstrated that there was an increase in responsiveness to a single dose of Cch after exposure to RV-A39 in hPCLS derived from subjects with mild to moderate asthma. Similar to the clinical studies, we found that exposure to RV-A39 failed to elicit enhanced responsiveness of the airways to Cch (5). In contrast to RV-A39, our data show that RV-C15 exposure induces AHR in a non-diseased lung. We and others have demonstrated that HASM derived from subjects with asthma exhibits a hypercontractile phenotype (32, 51–56), so using lungs and tissue from subjects with asthma may make it difficult to ascertain the effects of RV-C exposure on airway contractility, owing to an already hypercontractile system. Concentrations of IL-6 correlated with increased responsiveness of the airways to contractile agonist (Table 1). However, we demonstrate that there is no significant induction of IL-6 in response to RV-C15 exposure. IL-6 is reportedly a nonselective stress/inflammatory signal that is elicited by a number of different factors. It is conceivable that RV-C15 is incapable of inducing IL-6 to concentrations greater than what is observed at baseline, because the process of tissue slicing induces injury that increases basal concentrations of IL-6 in hPCLS.
Our data demonstrate that an integrated model of human lung provides an effective platform to predict RV-A and RV-C serotype–mediated AHR and structural cell responses, even in the absence of circulating immune cells. Our findings also support the hypothesis that infection/viral load is uncoupled from inflammatory mediator release and the responsiveness of the airways to contractile agonist–induced bronchoconstriction.
Supplementary Material
Acknowledgments
Acknowledgment
The authors thank Gaoyuan Cao and Brian Deeney for expert technical assistance.
Footnotes
Supported by National Institutes of Health (NIH) grants P01-HL114471-03 (S.B.L. and C.J.K.-W.); NIH UL1TR003017 (C.J.K.-W.); 1K08A1121345-01A1, KL2TR000063, UL1TR000039, P20GM121293, and P20GM103625 (J.L.K.); and U19 AI104317 and P01 HL070831 (Y.A.B. and J.E.G.).
Author Contributions: V.P.: study design, data acquisition, data analysis and interpretation, drafting and editing of the manuscript, and final approval of publication. J.S.: study design, data acquisition, data analysis and interpretation, editing of the manuscript, and final approval of publication. R.P.: data acquisition, data analysis and interpretation, drafting and editing of the manuscript, and final approval of publication. C.C.: data acquisition, data analysis and interpretation, drafting and editing of the manuscript, and final approval of publication. D.L.: data acquisition, data analysis and interpretation, drafting and editing of the manuscript, and final approval of publication. Y.A.B.: study design, data interpretation, drafting and editing of the manuscript, and final approval of publication. J.L.K.: study design, drafting and editing of the manuscript, and final approval of publication. R.C.K.: study design, drafting and editing of the manuscript, and final approval of publication. S.B.L.: study design, drafting and editing of the manuscript, and final approval of publication. J.E.G.: study design, drafting and editing of the manuscript, and final approval of publication. C.J.K.-W.: study design, data acquisition, data analysis and interpretation, drafting and editing of the manuscript, and final approval of publication.
This article has a data supplement, which is accessible from this issue’s table of contents at www.atsjournals.org.
Originally Published in Press as DOI: 10.1165/rcmb.2019-0004OC on September 18, 2019
Author disclosures are available with the text of this article at www.atsjournals.org.
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