American Journal of Respiratory and Critical Care Medicine

Rationale: Animal models demonstrate that aberrant gene expression in utero can result in abnormal pulmonary phenotypes.

Objectives: We sought to identify genes that are differentially expressed during in utero airway development and test the hypothesis that variants in these genes influence lung function in patients with asthma.

Methods: Stage 1 (Gene Expression): Differential gene expression analysis across the pseudoglandular (n = 27) and canalicular (n = 9) stages of human lung development was performed using regularized t tests with multiple comparison adjustments. Stage 2 (Genetic Association): Genetic association analyses of lung function (FEV1, FVC, and FEV1/FVC) for variants in five differentially expressed genes were conducted in 403 parent-child trios from the Childhood Asthma Management Program (CAMP). Associations were replicated in 583 parent-child trios from the Genetics of Asthma in Costa Rica study.

Measurements and Main Results: Of the 1,776 differentially expressed genes between the pseudoglandular (gestational age: 7–16 wk) and the canalicular (gestational age: 17–26 wk) stages, we selected 5 genes in the Wnt pathway for association testing. Thirteen single nucleotide polymorphisms in three genes demonstrated association with lung function in CAMP (P < 0.05), and associations for two of these genes were replicated in the Costa Ricans: Wnt1-inducible signaling pathway protein 1 with FEV1 (combined P = 0.0005) and FVC (combined P = 0.0004), and Wnt inhibitory factor 1 with FVC (combined P = 0.003) and FEV1/FVC (combined P = 0.003).

Conclusions: Wnt signaling genes are associated with impaired lung function in two childhood asthma cohorts. Furthermore, gene expression profiling of human fetal lung development can be used to identify genes implicated in the pathogenesis of lung function impairment in individuals with asthma.

Scientific Knowledge on the Subject

The trajectory of lung function growth appears to be set early in life. Animal models demonstrate that abnormal in utero expression of genes implicated in normal lung development can result in abnormal pulmonary phenotypes after birth.

What This Study Adds to the Field

Gene expression profiling of early human fetal lung development can be used to identify novel genes and pathways that influence lung function in subjects with asthma.

Asthma is a common chronic respiratory illness, affecting 22 million people in the United States alone (1). Despite advances in our understanding of asthma pathogenesis and treatment, it remains the most common cause of pediatric hospital admission and lost days of school and work each year in the United States (2). A substantial proportion of children with persistent asthma (including those with mild disease) has reduced lung function compared with age-matched healthy controls and often fail to attain their maximal predicted lung function (3). Pulmonary function is among the most important health indicators, being a strong predictor of long-term morbidity and mortality and a marker of disease severity in asthma (4). Although most young people with asthma have a normal or only mildly reduced FEV1, a substantial proportion have reductions in growth of FEV1 during childhood (5). Furthermore, sustained treatment of childhood asthma with inhaled corticosteroids at conventional doses does not appear to influence long-term lung function growth (6).

Heritability estimates of lung function in the general population suggest that genetic factors explain 25 to 37% of the between-subject variability in FEV1, FVC, and the ratio of FEV1/FVC (710). Twin studies in subjects with asthma suggest that within this susceptible population, genetic factors may explain an even greater proportion of altered lung function (77–91% for FEV1), even after accounting for smoking and the shared genetic effects of body size (11, 12). Although lung function has a substantial heritable component indicating a strong genetic contribution to this phenotype, only a small proportion of the genetic determinants of lung function have been identified.

Epidemiologic data demonstrate that lung function growth follows a set percentile curve over time, and that this trajectory appears to be established before age 6 years in most individuals (13). Furthermore, infants born to mothers who smoked throughout their pregnancy had significantly lower levels of lung function shortly after birth than individuals born to nonsmoking mothers (14). Previous work from the Tucson Childhood Respiratory Study has shown that infants with reduced lung function in early life were more likely to develop wheezing related to respiratory illness within the first year (15). Longitudinal follow-up of these children also showed that those with early transient wheezing or persistent wheeze were more likely to have diminished lung function at 6 years of age (16). Another study suggests that infants with reduced lung function within the first week of birth were more likely to have an asthma diagnosis at 10 years of age (17). These studies suggest that the genetic programming of lung development and in utero exposures have important implications for lung function later in life.

Previous work has demonstrated a link between developmentally regulated genes and disease susceptibility. For example, ADAM33, which was identified as a candidate gene in asthma by genome-wide linkage analysis of bronchial hyperresponsiveness (18), has been shown to surround developing bronchi and mesenchymal tissue in human fetal lung tissue from the early pseudoglandular stage of lung development (19). Although genetic association studies of ADAM33 with asthma susceptibility have been inconsistent, polymorphisms in the ADAM33 gene have been associated with reduced lung function between 3 and 5 years of age (20), suggesting the potential role for lung development genes in disease susceptibility. Furthermore, Demeo and colleagues previously demonstrated the ability to combine the gene expression signature of normal mouse lung development with existing human linkage studies to identify candidate genes for chronic obstructive pulmonary disease (COPD) (21). Previous genome-wide linkage analyses in extended pedigrees ascertained through subjects with severe, early-onset COPD participating in the Boston Early-Onset COPD Study demonstrated significant linkage on chromosome 2q to FEV1/FVC ratio (22, 23). Three genes mapping to this linkage region were found to be highly expressed during normal mouse lung development (24). Of these, SERPINE2 was found to be the most differentially expressed gene during murine alveologenesis (postnatal days 4–10) with a 4.5-fold change in expression across the developmental time series. SERPINE2 expression was also found to be inversely correlated with post-bronchodilator FEV1 in human lung microarray studies of patients with severe COPD (25), suggesting that increased expression of SERPINE2 was associated with reduced lung function in COPD. Sixteen single nucleotide polymorphisms (SNPs) in SERPINE2 demonstrated genetic association with FEV1 and FEV1/FVC in the Boston Early-Onset COPD cohort. Five of these SNPs demonstrated replicated association with lung function in a second, independent cohort of patients with COPD participating in the National Emphysema Treatment Trial (NETT) compared with control subjects from the Normative Aging Study (NAS) (21). These results demonstrate that combining genetic and genomic methodologies can facilitate the identification of candidate genes implicated in the pathogenesis of complex diseases.

Fetal development of the respiratory tract begins at approximately 4 weeks of gestation as the laryngotracheal groove emerges from the floor of the primitive foregut. Although airway growth continues into the postnatal period, the pattern of airway branching is established in utero. Branching morphogenesis, the programmed process of airway development, extends from the early pseudoglandular stage (6th wk) into the early canalicular period (17th wk), and is characterized by a distinct proximal-distal pattern of genetically programmed epithelial and mesenchymal differentiation (26). Murine models of lung development demonstrate that disruption of critical gene expression during both the pseudoglandular and canalicular stages of airway development can lead to abnormal pulmonary phenotypes after birth (2730). Evidence suggests that the study of the molecular pathways that regulate lung development may provide important information regarding the pathogenesis of pulmonary disease. It is clear that the early stages of lung development are dependent on complex molecular pathways, and evidence suggests that these molecular pathways can be recapitulated in postnatal life resulting in the pathologic changes of complex respiratory diseases (31, 32).

Based on these observations, we hypothesized that genes integral to airway development in utero harbor common genetic variants that are implicated in the pathogenesis of impaired lung function in asthma. Combining genomic and genetic studies in human populations, we demonstrate evidence of genetic association between measures of lung function and polymorphisms for several differentially expressed genes during in utero airway development in two ethnically distinct populations of children with asthma, supporting an important role for lung development genes in the pathogenesis of abnormal pulmonary function in later life. Some of the results of these studies have been previously reported in the form of an abstract (33).

Stage 1: Gene Expression Profiling of Human Lung Development
Human Fetal Lung Tissue Samples.

Thirty-six de-identified, unpaired fetal lung tissue samples were acquired through the tissue retrieval program sponsored by the National Institute of Child Health and Development, the University of Maryland Brain and Tissue Bank for Developmental Disorders (Baltimore, MD), and the Center for Birth Defects Research (University of Washington, Seattle, WA). Phenotypic information for the fetal lung tissue samples is limited to their estimated gestational age. Therefore, underlying pathologic conditions in the fetus are unknown.

Human Fetal Lung Tissue mRNA Extraction.

Total mRNA from 36 human fetal lung tissue samples was isolated using the Illustra RNAspin mini RNA isolation kit (GE Healthcare, Piscataway, NJ) according to protocol. Sample quality was assessed by visualization on a 1% agarose gel and using the Agilent 2100 Bioanalyzer (Santa Clara, CA).

Genome-wide Gene Expression Profiles for Human Lung Development.

Genome-wide gene expression profiles of 22,177 probes representing more than 22,000 genes were generated using Illumina HumanRef8 v2 BeadChips (San Diego, CA) according to the manufacturer's protocol, as described here. Total RNA was used to generate cDNA by reverse transcription, followed by biotin-labeled cRNA synthesis using the MessageAmp kit (Ambion, Austin, TX) (34). Labeled cRNA was combined with formamide and hybridization buffer, followed by overnight hybridization to Human Ref8 v2 BeadChip arrays (eight samples per chip), with deliberate randomization of samples across chips and their chip positions to avoid batch effects (for example, correlation of gestational age and BeadChip). Following hybridization, chips were washed, blocked, stained with streptavidin-Cy3 dye, and scanned on the BeadArray scanner (Illumina) with images captured using the Illumina BeadStudio software with default setting and background correction.

Microarray Preprocessing.

All expression microarray analyses were performed in R 2.7/Bioconductor (35). Quantile normalization and log2 transformation were performed using the lumi package (36). Variance-based nonspecific filtering to remove uninformative probes was performed using the genefilter package, specifying a minimum interquartile range of 1 on the log2 scale, leaving 13,306 of the 22,000 genes represented on the microarray.

Statistical Analysis of Genome-wide Gene Expression of Human Lung Development.

Human fetal lung tissue samples were assigned to the pseudoglandular stage (gestational age <112 d, n = 29) or canalicular stage (gestational age >112 d, n = 9). Differential gene expression analysis was performed using the Significance Analysis of Microarray (SAM) test statistic as implemented in the siggenes package (37). SAM incorporates regularized t tests, which add a constant that determines the relative contribution of gene-specific and global variances to the denominator. The effect of this parameter is to smooth out the effect of underestimated variance and provide a more reliable assessment of whether a gene is differentially expressed (38, 39). An estimate of the number of differentially expressed genes across the two stages of lung development was derived using a false discovery rate of 0.10 (4042).

Gene Ontology Analysis.

Gene ontology (GO) pathway analysis was performed using the list of differentially expressed genes in the Safe package (43). GO is a structured vocabulary that classifies genes and gene products using a consistent description across databases. Because a gene or gene product may be active in one or more biological processes, GO analysis allows one to determine whether gene sets are enriched for certain biologic processes (more genes than would be expected by chance are from a given biologic pathway). GO can be used to narrow gene selection, when the testing of specific genes or gene products must limited.

Lung Development Candidate Gene Selection.

Using the list of differentially expressed genes and the GO pathway enrichment results, we sought consensus between two unblinded experts in lung development to select five lung development candidate genes from a single pathway. Genes in the Wnt pathway that were differentially expressed during early lung development were selected based on the known role of the pathway in lung development as demonstrated in animal models, its biologic plausibility for association with lung function impairment, and a lack of evidence in the literature demonstrating a role for the Wnt pathway in asthma pathogenesis. The five genes from the Wnt signaling pathway that were selected for follow-up genetic association testing were Wnt inhibitory factor 1 (WIF1), Wnt1-inducible signaling pathway protein 1 (WISP1), secreted frizzled-related protein 2 (sFRP2), sFRP5, and Dickkopf 1 (DKKI). To our knowledge, none of the genes chosen for association testing have been previously associated with impaired lung function in human populations.

Stage 2: Genetic Association Testing of Lung Development Candidate Genes with Lung Function in Asthma
Childhood Asthma Cohorts.

Lung development candidate gene association testing was performed in two populations: The Childhood Asthma Management Program (CAMP) and the Genetic Epidemiology of Asthma in Costa Rica cohort. Details regarding these cohorts have been previously described (6, 44, 45). CAMP participants had mild to moderate persistent asthma based on increased airway responsiveness (a methacholine provocative concentration causing a 20% decrease in FEV1 ≤12.5 mg/ml) and at least one of the following: asthma symptoms at least twice weekly, use of inhaled bronchodilator at least twice weekly, or use of daily asthma medication for at least 6 months in the year before screening. Participating children were followed for a mean time of 4.3 years in the randomized trial; lung function measurements were obtained at the time of randomization in the clinical trial (baseline), at 2 months, 4 months, and every 4 months thereafter throughout the clinical trial. Spirometry performance was required to meet American Thoracic Society criteria for acceptability and reproducibility. At least three spirometric maneuvers were performed, with at least two reproducible maneuvers required for each test. Post-bronchodilator spirometric values were obtained at least 15 minutes after the administration of two puffs of albuterol (90 μg/puff). DNA samples were obtained on 968 children, and 1,518 of their parents contributed DNA samples. Genome-wide SNP genotype data were generated using the Illumina Human Hap 550K SNP array by Illumina Inc. for 403 parent-child trios of self-reported non-Hispanic white ancestry with sufficient DNA for genome-wide studies (average genotyping completion rate was 99.75% per subject).

The Genetic Epidemiology of Asthma in Costa Rica cohort consists of 616 parent-child trios ascertained through children with asthma aged 6 to 14 years (a physician's diagnosis of asthma and two or more respiratory symptoms or asthma attacks in the previous year) and a high probability of having six or more great-grandparents born in the Central Valley of Costa Rica. All children included in the study completed a protocol including a questionnaire, pulmonary function testing, and methacholine challenge testing. Lung function–associated SNPs identified in CAMP (see below) were genotyped using the MassARRAY iPlex Gold platform (Sequenom, San Diego, CA) according to protocol.

Genetic Association Analysis.

From the Illumina Human Hap 550K SNP set genotyped in CAMP, we selected polymorphisms that mapped to within 25 kb of five lung development candidate genes identified in Stage 1 that were in the Wnt signaling pathway. Family-based tests of association were conducted using the PBAT program (v 5.3) as implemented in GoldenHelix (http://www.goldenhelix.com) (46). We tested for SNP associations with three highly correlated lung function phenotypes: post-bronchodilator FEV1, FVC, and FEV1/FVC. To decrease the number of statistical tests performed, only additive genetic models adjusted for age, sex, and height were considered. All SNPs that attained a nominal level of significance (P < 0.05) for association with lung function in CAMP were carried forward for replication testing in the Costa Rican cohort using identical statistical procedures. To account for multiple comparisons, results were considered statistically significant when identical associations (i.e., same allele, same phenotype, same direction of genetic effect) were identified in both populations with a P value less than 0.05 and a Fisher combined P value less than or equal to 0.0005 (i.e., 0.05/100), which conservatively accounts for the 79 markers tested for association in CAMP, 13 of which underwent replication testing in the Costa Rican cohort.

Informed Consent

Fetal lung tissue samples were acquired through tissue retrieval programs sponsored by National Child Health and Development, the University of Maryland Brain and Tissue Bank for Developmental Disorders (Baltimore, MD), and the Center for Birth Defects Research (University of Washington, Seattle, WA). The collection of these tissues has been designated an institutional review board (IRB)-exempt protocol by the University of Missouri–Kansas City Pediatric IRB. Approval for the genetic portion of this analysis was obtained from the IRB of each CAMP institution before study enrollment and from the IRB of the Hospital Nacional de Niños (San José, Costa Rica) for the Genetics of Asthma in Costa Rica Study. Informed consent was obtained from parents of participating children, and assent was obtained from each child before study enrollment.

Stage 1: Differential Gene Expression Analysis of Early Human Fetal Lung Development

Illumina HumanRef8 expression array profiles were generated for 36 human fetal lung samples ranging in gestational age from 53 to 153 days (27 pseudoglandular, 9 canalicular, Table 1). There were no systematic differences between the human fetal lung samples across chips, and there was a high degree of correlation between the 10% of samples that were run as technical replicates (r2 ≥ 0.9). Nonspecific filtering of the approximately 22,000 probes represented on the Illumina platform identified 13,306 genes demonstrating variable expression levels across samples, which were then considered for further analysis.

TABLE 1. HUMAN FETAL LUNG TISSUE SAMPLES


Developmental Stage

Gestational Age (d)

Count
Pseudoglandular (n = 27)51–602
61–702
71–806
81–905
91–1006
101–1126
Canalicular (n = 9)113–1253
126–1353
136–1452

146–155
1

Differential gene expression analysis across the pseudoglandular-to-canalicular transition was performed using the SAM statistic in Bioconductor. In total, 1,776 genes were identified as differentially expressed across the pseudoglandular and canalicular periods at a false discovery rate of 0.10. A SAM plot is shown in Figure 1, which illustrates the number of genes that deviate from the null expectation of no differential expression (gray diagonal line). The genes for which there is a difference in mean gene expression level across the pseudoglandular and canalicular stages of lung development are shown in gray. Genes differentially expressed across the pseudoglandular-to-canalicular transition of human lung development included the surfactant proteins, genes in the transforming growth factor-β pathway, and genes in the Wnt signaling pathway (see Table E1 in the online supplement ). For example, expression differences between the pseudoglandular and canalicular stages of lung development for the five Wnt genes selected for follow-up genetic association testing are shown in Figure 2.

GO analysis demonstrated enrichment of genes involved in several biologic processes, including neutral amino acid transport and spindle organization and biogenesis (both P < 0.01). Of note, biologic processes involving the Wnt signaling pathway were also significantly enriched in this analysis (Table 2).

TABLE 2. BIOLOGIC PROCESSES GENE ONTOLOGY PATHWAY ANALYSIS OF GENES DIFFERENTIALLY EXPRESSED DURING AIRWAY DEVELOPMENT


GO ID

GO Term

P Value
GO:0007051Spindle organization and biogenesis0.001
GO:0015804Neutral amino acid transport0.001
GO:0001936Regulation of endothelial cell proliferation0.002
GO:0006752Group transfer coenzyme metabolic process0.002
GO:0048015Phosphoinositide-mediated signaling0.002
GO:0016055Wnt receptor signaling pathway0.003
GO:0030111Regulation of Wnt receptor signaling pathway0.003
GO:0007017Microtubule-based movement0.005
GO:0007059Chromosome segregation0.007
GO:0000226
Microtubule cytoskeleton organization and biogenesis
0.008

Definition of abbreviation: GO = gene ontology.

All GO pathways enriched at P ≤ 0.01.

Stage 2: Genetic Association of Lung Development Candidate Genes with Lung Function in Asthma

The baseline characteristics of the index cases in both the CAMP and Costa Rican trios genotyped for this study are presented in Table 3. Despite the differences in geographic and ancestral origin and methods of sample ascertainment, the baseline characteristics of the CAMP and Costa Rican probands were similar. There were more boys in both cohorts, in keeping with the known increased prevalence of childhood asthma among boys in this age group. Lung function measurements were similar between the CAMP cohort and the children with asthma in the Costa Rican cohort.

TABLE 3. BASELINE PHENOTYPIC CHARACTERISTICS OF INDEX CHILDREN IN CHILDHOOD ASTHMA MANAGEMENT PROGRAM AND COSTA RICA


Variable

CAMP (n = 403)

Costa Rica (n = 583)
Age, years8.62 (6.97–10.44)8.84 (7.79–10.48)
Female sex148 (37%)235 (40%)
Baseline post-bronchodilator FEV1, L1.79 (1.45–2.08)1.74 (1.49–2.06)
Baseline post-bronchodilator FVC, L2.11 (1.64–2.47)2.05 (1.71–2.39)
Baseline post-bronchodilator FEV1/ FVC
86.0 (81.0–90.0)
86.41 (82.08–90.06)

Definition of abbreviation: CAMP = Childhood Asthma Management Program.

Median (interquartile range) or count (frequency) reported.

The initial genetic association screening was performed using high-quality genome-wide association data that were available on 403 parent-child trios in CAMP. Of 561,466 markers present on the BeadChip, 547,645 markers (97.54%) passed quality control measures. In total, 79 SNPs within 25 kb of the five Wnt pathway genes were tested for association with lung function in the CAMP cohort.

There was suggestive evidence of association of 13 SNPs from WIF1, WISP1, and SFRP5 with post-bronchodilator spirometric measurements of lung function in CAMP (P < 0.05), several of which were associated with two measures (Table E2). These 13 variants were therefore genotyped in the Costa Rican cohort. Of the 616 Costa Rican parent-child trios, 33 were excluded from this analysis because of Mendelian inconsistencies (n = 9) or inadequate genotypic data (n = 24), leaving 583 trios.

Variants in two genes demonstrated reproducible associations in both cohorts (Table 4). One variant (rs2929973), mapping approximately 1 kb downstream of the WISP1 gene, was strongly associated with FEV1 in both cohorts (P = 0.01 in CAMP, P = 0.005 in Costa Rica), with the G allele conferring lower FEV1 values (Fisher combined P = 0.0005). Furthermore, this variant was also associated with reduced FVC (P = 0.008 in CAMP, P = 0.005 in Costa Rica, Fisher combined P = 0.0004). Both of these associations were significant after correction for multiple comparisons.

TABLE 4. REPLICATED ASSOCIATIONS WITH LUNG FUNCTION IN THE CHILDHOOD ASTHMA MANAGEMENT PROGRAM AND COSTA RICAN COHORTS UNDER AN ADDITIVE GENETIC MODEL





CAMP

Costa Rica
Phenotype
Gene
dbSNP rs#
Allele
Allele Frequency
No. Informative Families
P Value
Allele
Allele Frequency
No. Informative Families
P Value
Fisher Combined P Value
FEV1WISP1rs2929973G0.141400.01↓G0.192380.005↓0.0005↓
FVCWIF1rs6581612C0.241830.01C0.273380.030.003
WISP1rs2929973G0.141400.008↓G0.192270.005↓0.0004↓
FEV1/ FVC
WIF1
rs1596725
C
0.39
267
0.01
C
0.29
339
0.04
0.003

Definition of abbreviations: CAMP = Childhood Asthma Management Program; WIF = Wnt inhibitory factor; WISP = Wnt1-inducible signaling pathway protein.

Lung function phenotypes are post-bronchodilator values. The downward arrow represents the direction of effect based on the value of the z-score, which means the transmission of the minor allele is associated with lower values of the spirometric value of lung function.

One variant (rs6581612) approximately 25 kb upstream of the WIF1 gene was associated with FVC in both CAMP (P = 0.01) and Costa Rica (P = 0.03). For this variant, the C allele was associated with a higher FVC in both populations (Fisher combined P = 0.003).

Another variant in the WIF1 gene (rs1596725), located approximately 22 kb upstream of the transcription start site, was associated with higher FEV1/FVC values in both childhood asthma cohorts (Fisher combined P = 0.003). Although these associations did not meet strict correction for multiple comparisons, the evidence of differential expression of the WIF1 gene during early lung development and the consistency of genetic association replication (same SNP, same phenotype, and the same direction of association) in two populations suggests that this gene warrants further follow-up.

Using gene expression profiling across the pseudoglandular and canalicular transition of human fetal airway development, we demonstrate enrichment of differentially expressed genes regulating the Wnt signaling pathway during the critical stages of airway branching morphogenesis. Although murine models of lung development have demonstrated a complex role for the Wnt pathway in airway branching morphogenesis, the precise role of the Wnt genes in human lung development has yet to be defined. Using gene expression patterns of early human fetal lung development and genetic association testing in childhood asthma cohorts, we have identified two genes in the Wnt pathway that harbor polymorphisms associated with impaired lung function in two well-characterized cohorts of childhood asthma. To our knowledge, this is the first report demonstrating both differential expression of genes in the Wnt signaling pathway during in utero airway development using human fetal lung tissue and an association between variants within the WISP1 and WIF1 genes with lung function in two asthma populations. Based on these results, we demonstrate that gene expression profiling in early human fetal lung development may help elucidate the molecular processes underlying lung function impairment in patients with asthma.

The Wnt signaling pathway constitutes a large family of highly conserved, secreted glycoproteins, which function as growth factors that are essential to organogenesis. The canonical Wnt proteins bind to frizzled receptors, causing β-catenin inhibition and subsequent transcription of TCF/LEF target genes (47). Genes in the Wnt signaling pathway regulate cell fate and differentiation during embryogenesis, modulate cell proliferation, and are involved in homeostatic functions in adult tissues (4850). To date, 19 Wnt proteins have been identified in humans with a vast array of biologic functions allowing for redundancy in the pathway with compensation for the loss of certain Wnt ligands by other genes in the pathway (51). Furthermore, the Wnt signaling pathway is highly regulated by Wnt inhibitors, including the sFRPs and WIF. Branching morphogenesis in fetal lung development is mediated by a complex interaction between the epithelium and its surrounding mesenchyme during early lung development (49, 52). Genes in the Wnt signaling pathway are expressed in the developing lung at sites of critical epithelial–mesenchymal interactions that involve cell–cell and cell–matrix interactions that are essential for normal lung development (28, 5153). Murine models have shown that deletion of β-catenin signaling in the epithelium during early lung development results in profound perturbations of the normal epithelial and mesenchymal compartments resulting in decreased secondary and tertiary branching (54). Furthermore, studies have shown that Wnt signaling is critical to the proliferation and survival of airway submucosal gland progenitor cells. Alterations of Wnt signaling have been associated with pathologic alterations, including hypertrophy and hyperplasia of submucosal glands (55), which are common pathologic changes found in the airway wall of individuals with asthma. Thus, murine models suggest a plausible role for the Wnt genes in the pathogenesis of lung function impairment in the susceptible host.

Differential expression in human fetal lung tissue during the period of branching morphogenesis was a prerequisite for our considering a gene for genetic association testing. We were thus able to identify two genes (WISP1 and WIF1) that are associated with both intrauterine airway development and lung function impairment in susceptible populations. Neither WISP1 nor WIF1 has been previously implicated in the pathogenesis of obstructive airway diseases. However, recent work has demonstrated a role for the Wnt signaling pathway at sites of tissue injury and repair. Colston and colleagues demonstrated a role for WISP1 in postinfarction cardiac remodeling, by demonstrating the proliferative effect of WISP1 on fibroblasts (56). Aberrant Wnt signaling has also been implicated as a profibrotic mechanism underlying the pathogenesis idiopathic pulmonary fibrosis (IPF) (5759). Specifically, WISP1 expression was increased in alveolar epithelial cells in both in vitro models and in vivo studies (60). In addition, WISP1 showed the greatest difference in expression between lung tissue of normal control subjects and in patients with IPF (60). Treatment with exogenous WISP1 resulted in increased type II cell proliferation, increased extracellular matrix deposition from lung fibroblasts, and increased fibrosis. Furthermore, depletion of WISP1 using neutralizing antibodies in a bleomycin-induced murine model of IPF resulted in a marked attenuation of lung fibrosis, decreased extracellular matrix deposition, partial restoration of pulmonary function assessed by lung compliance measures, and improved survival (60). Although WISP1 has not been specifically studied in asthma, the profibrotic effect of WISP1 may explain some of the characteristic changes of airway remodeling that occur in asthma, which includes subepithelial fibrosis, neovascularization, and increased smooth muscle deposition. These histopathologic changes may explain why variants in this gene are associated with lower levels of lung function in children with asthma. Further investigation of the functional role of this gene in asthma is warranted.

WIF1 acts as an inhibitor of Wnt signaling by directly binding to Wnt ligands, thus disrupting their ability to bind to the Wnt/frizzled receptor (48). Decreased WIF1 expression in human disease states, including lung cancer, has been related to hypermethylation of the promoter region of the gene (61). Sun and colleagues have previously shown that abrogation of Alk3-mediated bone morphogenetic protein (BMP) signaling in lung epithelial cells during early lung development (E16.5 in the murine model) disrupts cell differentiation and proliferation resulting in abnormal lung branching morphogenesis (62). Their murine model demonstrates that changes in BMP signaling subsequently cause respiratory distress syndrome in the early postnatal period. Analysis of the lung tissue of the Alk3 conditional knock-out mouse demonstrate that decreased BMP signaling is associated with increased canonical Wnt signaling activity as demonstrated by increased phosphorylation of the Wnt coreceptor LRP6 and activation of downstream β-catenin (62). Of note, WIF1 expression in the Alk-3 conditional knock-out mouse was reduced in the perinatal lung tissue, suggesting both a role for WIF1 in abnormal airway branching and the development of impaired lung function in later life. Although increased WIF1 expression may explain why variants in the WIF1 gene are associated with increased lung function in patients with childhood asthma, functional validation of these variants is necessary to further elucidate their mechanistic function. Furthermore, investigation of genotype-specific differences in the expression of Wnt signaling genes in lung tissue specimens from patients with asthma would help to further elucidate the role of both WISP1 and WIF1 in asthma pathogenesis.

We performed an extensive search of the medical literature for abstracts involving each of the 1,776 differentially expressed genes to identify those genes that were previously associated with abnormal lung pathology, as evidenced by (1) murine models demonstrating an association with abnormal pulmonary phenotypes, (2) implication of the gene in lung development, or (3) human data demonstrating gene associations with lung disease. Of the 1,776 differentially expressed genes, only 102 met at least one of these criteria, suggesting the usefulness of gene expression profiling in early human lung development to identify genes and molecular pathways that may have a novel biologic role in the pathogenesis of airflow obstruction in susceptible individuals. Furthermore, although the Wnt signaling pathway has been implicated in murine lung development, the role for the WISP1 and WIF1 genes in the pathobiology of asthma in human populations has not been identified to date. The current data suggest an association of genes within this pathway with lung function in human populations. However, further molecular characterization of the genetic variants within these genes is required to determine their precise role in the pathogenesis of impaired lung function.

Several limitations of our genomic analysis must be addressed. Our genome-wide gene expression analysis of lung development was limited to fetal lung tissue samples from the pseudoglandular and canalicular stages of development. Therefore, we are not able to determine the changes in gene expression profile that occur during the later stages of gestation. Although we acknowledge that investigation of gene expression patterns during the later stages of development during which the airway size increases may allow us to gain further insights into the pathogenesis of lung function impairment, the use of early developmental expression patterns is scientifically justified based on what we have already learned from genetic manipulation of mice wherein interval sacrifice throughout development is possible. It is quite well established that the same genes that are identified as having key functions in early embryonic lung development are reused during later fetal development, postnatal alveolarization, and response to injury (28, 59). In addition to its scientific merit, using the early fetal lung to do a genome-wide expression screen is also feasible because of the limits imposed by our ability to obtain fetal tissue during the later stages of gestation.

Like other intermediate asthma phenotypes, lung function is likely to be a complex process, resulting from the interplay of both genetic and environmental factors. We have previously shown that of early life exposures (including intrauterine tobacco smoke exposure) influence early postnatal lung function (14). Because our fetal lung tissue samples are de-identified samples obtained from a national tissue repository, we do not have access to maternal information. Therefore, we are unable to assess the effect that in utero exposures may have on gene expression patterns, which would result in a source of misclassification that would bias our results toward the null hypothesis. Despite this limitation, our results suggest that we can use gene expression profiling to investigate the genes and pathways that influence in utero lung development, which may help define the molecular processes involved in the pathogenesis of impaired lung function in the susceptible host.

We also recognize that the use of gene expression profiling of early lung development to identify genes associated with lung function may have broader implications in terms of lung function in both health and disease. Recent work has suggested a role for Wnt signaling genes in the pathogenesis of idiopathic pulmonary fibrosis and pulmonary arterial hypertension (59, 63); genetic association testing of variants in Wnt genes in these diseases should be considered.

Genetic association studies of lung function in obstructive airways diseases have yielded inconsistent findings. In addition to differences in linkage disequilibrium (LD) patterns, gene-by-gene, or gene-by-environment interactions among study populations, potential explanations for these discrepant results include differences in statistical power, failure to control for multiple testing, and (for case-control studies) population stratification. Our study had adequate statistical power to detect associations of relatively large magnitude, and we have reduced the potential for false-positive results by replicating our findings in two family-based studies, which are not susceptible to population stratification. We recognize that some of our nonreplicated results at the SNP level may be due to underlying differences between our study populations (e.g., ancestral history, LD, and environmental exposures). However, based on recent work from Rogers and colleagues, the Illumina genome-wide genotyping platform also provides variable coverage across genetic loci (64). Studies with sample sizes similar to ours can detect associations with relatively large effect size (odds ratios ≥1.5), but are underpowered to detect genes with small effect sizes, which may be expected for complex traits like lung function. Furthermore, important genetic variation (functional or regulatory) may not have been genotyped as part of the HumanHap550 platform. Therefore, sequencing and functional validation studies for the lung development candidate gene set identified in this study are still required.

In summary, genes in the Wnt signaling pathway are associated with impaired lung function in two ethnically distinct cohorts of childhood asthma. Furthermore, in concordance with previous experimental animal data, we have demonstrated that genes in critical lung development pathways influence lung function later in life. Our findings provide evidence that genome-wide gene expression profiles of lung development using human fetal lung tissue can be used to elucidate candidate genes involved in the pathogenesis of impaired lung function in children with asthma.

The authors thank all subjects for their ongoing participation in both the CAMP study and the Genetics of Asthma in Costa Rica study. They also thank the CAMP investigators and research team, supported by NHLBI, for collection of CAMP Genetic Ancillary Study data. All work on data collected from the CAMP Genetic Ancillary Study was conducted at the Channing Laboratory of the Brigham and Women's Hospital under appropriate CAMP policies and human subject protections.

1. Masoli M, Fabian D, Holt S, Beasley R. The global burden of asthma: executive summary of the GINA dissemination committee report. Allergy 2004;59:469–478.
2. Mannino DM, Homa DM, Pertowski CA, Ashizawa A, Nixon LL, Johnson CA, Ball LB, Jack E, Kang DS. Surveillance for asthma–United States, 1960–1995. MMWR CDC Surveill Summ 1998;47:1–27.
3. Strunk RC, Weiss ST, Yates KP, Tonascia J, Zeiger RS, Szefler SJ. Mild to moderate asthma affects lung growth in children and adolescents. J Allergy Clin Immunol 2006;118:1040–1047.
4. Tockman MS, Comstock GW. Respiratory risk factors and mortality: longitudinal studies in Washington County, Maryland. Am Rev Respir Dis 1989;140:S56–S63.
5. Weiss ST, Tosteson TD, Segal MR, Tager IB, Redline S, Speizer FE. Effects of asthma on pulmonary function in children. A longitudinal population-based study. Am Rev Respir Dis 1992;145:58–64.
6. The Childhood Asthma Management Program Research Group. Long-term effects of budesonide or nedocromil in children with asthma. N Engl J Med 2000;343:1054–1063.
7. Redline S, Tishler PV, Rosner B, Lewitter FI, Vandenburgh M, Weiss ST, Speizer FE. Genotypic and phenotypic similarities in pulmonary function among family members of adult monozygotic and dizygotic twins. Am J Epidemiol 1989;129:827–836.
8. Joost O, Wilk JB, Cupples LA, Harmon M, Shearman AM, Baldwin CT, O'Connor GT, Myers RH, Gottlieb DJ. Genetic loci influencing lung function: a genome-wide scan in the Framingham study. Am J Respir Crit Care Med 2002;165:795–799.
9. Wilk JB, Djousse L, Arnett DK, Rich SS, Province MA, Hunt SC, Crapo RO, Higgins M, Myers RH. Evidence for major genes influencing pulmonary function in the NHLBI family heart study. Genet Epidemiol 2000;19:81–94.
10. Coultas DB, Hanis CL, Howard CA, Skipper BJ, Samet JM. Heritability of ventilatory function in smoking and nonsmoking New Mexico hispanics. Am Rev Respir Dis 1991;144:770–775.
11. Hubert HB, Fabsitz RR, Feinleib M, Gwinn C. Genetic and environmental influences on pulmonary function in adult twins. Am Rev Respir Dis 1982;125:409–415.
12. Hankins D, Drage C, Zamel N, Kronenberg R. Pulmonary function in identical twins raised apart. Am Rev Respir Dis 1982;125:119–121.
13. Wang X, Dockery DW, Wypij D, Fay ME, Ferris BG Jr. Pulmonary function between 6 and 18 years of age. Pediatr Pulmonol 1993;15:75–88.
14. Hanrahan JP, Tager IB, Segal MR, Tosteson TD, Castile RG, Van Vunakis H, Weiss ST, Speizer FE. The effect of maternal smoking during pregnancy on early infant lung function. Am Rev Respir Dis 1992;145:1129–1135.
15. Martinez FD, Morgan WJ, Wright AL, Holberg CJ, Taussig LM. Diminished lung function as a predisposing factor for wheezing respiratory illness in infants. N Engl J Med 1988;319:1112–1117.
16. Martinez FD, Wright AL, Taussig LM, Holberg CJ, Halonen M, Morgan WJ. Asthma and wheezing in the first six years of life. The group health medical associates. N Engl J Med 1995;332:133–138.
17. Haland G, Carlsen KC, Sandvik L, Devulapalli CS, Munthe-Kaas MC, Pettersen M, Carlsen KH. Reduced lung function at birth and the risk of asthma at 10 years of age. N Engl J Med 2006;355:1682–1689.
18. Van Eerdewegh P, Little RD, Dupuis J, Del Mastro RG, Falls K, Simon J, Torrey D, Pandit S, McKenny J, Braunschweiger K, et al. Association of the ADAM33 gene with asthma and bronchial hyperresponsiveness. Nature 2002;418:426–430.
19. Haitchi HM, Powell RM, Shaw TJ, Howarth PH, Wilson SJ, Wilson DI, Holgate ST, Davies DE. ADAM33 expression in asthmatic airways and human embryonic lungs. Am J Respir Crit Care Med 2005;171:958–965.
20. Simpson A, Maniatis N, Jury F, Cakebread JA, Lowe LA, Holgate ST, Woodcock A, Ollier WE, Collins A, Custovic A, et al. Polymorphisms in a disintegrin and metalloprotease 33 (ADAM33) predict impaired early-life lung function. Am J Respir Crit Care Med 2005;172:55–60.
21. Demeo DL, Mariani TJ, Lange C, Srisuma S, Litonjua AA, Celedon JC, Lake SL, Reilly JJ, Chapman HA, Mecham BH, et al. The serpine2 gene is associated with chronic obstructive pulmonary disease. Am J Hum Genet 2006;78:253–264.
22. Silverman EK, Mosley JD, Palmer LJ, Barth M, Senter JM, Brown A, Drazen JM, Kwiatkowski DJ, Chapman HA, Campbell EJ, et al. Genome-wide linkage analysis of severe, early-onset chronic obstructive pulmonary disease: airflow obstruction and chronic bronchitis phenotypes. Hum Mol Genet 2002;11:623–632.
23. Palmer LJ, Celedon JC, Chapman HA, Speizer FE, Weiss ST, Silverman EK. Genome-wide linkage analysis of bronchodilator responsiveness and post-bronchodilator spirometric phenotypes in chronic obstructive pulmonary disease. Hum Mol Genet 2003;12:1199–1210.
24. Mariani TJ, Reed JJ, Shapiro SD. Expression profiling of the developing mouse lung: insights into the establishment of the extracellular matrix. Am J Respir Cell Mol Biol 2002;26:541–548.
25. Spira A, Beane J, Pinto-Plata V, Kadar A, Liu G, Shah V, Celli B, Brody JS. Gene expression profiling of human lung tissue from smokers with severe emphysema. Am J Respir Cell Mol Biol 2004;31:601–610.
26. Torday JS, Rehan VK. The evolutionary continuum from lung development to homeostasis and repair. Am J Physiol Lung Cell Mol Physiol 2007;292:L608–L611.
27. Khoor A, Stahlman MT, Gray ME, Whitsett JA. Temporal-spatial distribution of SP-B and SP-C proteins and mRNAs in developing respiratory epithelium of human lung. J Histochem Cytochem 1994;42:1187–1199.
28. De Langhe SP, Sala FG, Del Moral PM, Fairbanks TJ, Yamada KM, Warburton D, Burns RC, Bellusci S. Dickkopf-1 (DKK1) reveals that fibronectin is a major target of Wnt signaling in branching morphogenesis of the mouse embryonic lung. Dev Biol 2005;277:316–331.
29. De Langhe SP, Carraro G, Warburton D, Hajihosseini MK, Bellusci S. Levels of mesenchymal FGFR2 signaling modulate smooth muscle progenitor cell commitment in the lung. Dev Biol 2006;299:52–62.
30. Shi W, Chen H, Sun J, Chen C, Zhao J, Wang YL, Anderson KD, Warburton D. Overexpression of Smurf1 negatively regulates mouse embryonic lung branching morphogenesis by specifically reducing Smad1 and Smad5 proteins. Am J Physiol Lung Cell Mol Physiol 2004;286:L293–L300.
31. Gross TJ, Hunninghake GW. Idiopathic pulmonary fibrosis. N Engl J Med 2001;345:517–525.
32. Selman M, Pardo A, Kaminski N. Idiopathic pulmonary fibrosis: aberrant recapitulation of developmental programs? PLoS Med 2008;5:e62.
33. Sharma S, Tantisira K, Carey V, Murphy A, Lasky-Su J, Celedón J, Lazarus R, Klanderman B, Rogers A, Soto-Quirós M, et al. Wnt-signaling genes in the pathogenesis of impaired lung function in asthma [abstract]. International Conference of the American Thoracic Society. San Diego, California; May 15–20, 2009.
34. Pabon C, Modrusan Z, Ruvolo MV, Coleman IM, Daniel S, Yue H, Arnold LJ Jr. Optimized t7 amplification system for microarray analysis. Biotechniques 2001;31:874–879.
35. Gentleman RC, Carey VJ, Bates DM, Bolstad B, Dettling M, Dudoit S, Ellis B, Gautier L, Ge Y, Gentry J, et al. Bioconductor: open software development for computational biology and bioinformatics. Genome Biol 2004;5:R80.
36. Du P, Kibbe WA, Lin SM. lumi: A pipeline for processing Illumina microarray. Bioinformatics 2008;24:1547–1548.
37. Tusher VG, Tibshirani R, Chu G. Significance analysis of microarrays applied to the ionizing radiation response. Proc Natl Acad Sci USA 2001;98:5116–5121.
38. Baldi B, Long AD. A Bayesian framework for the analysis of microarray expression data: regularized t test and statistical inferences of gene changes. Bioinformatics 2001;17:509–519.
39. Kim RD, Park PJ. Improving identification of differentially expressed genes in microarray studies using information from public databases. Genome Biology 2004;5:R70–70.10.
40. Benjamini Y, Drai D, Elmer G, Kafkafi N, Golani I. Controlling the false discovery rate in behavior genetics research. Behav Brain Res 2001;125:279–284.
41. Benjamini Y, Yekutieli D. The control of the false discovery rate in multiple testing under dependency. Ann Stat 2001;29:1165–1188.
42. Schwender H. Assessing the false discovery rate in a statistical analysis of gene expression data [diploma thesis]. Department of Statistics, University of Dortmund, Dortmund, Germany; 2003.
43. Barry WT, Nobel AB, Wright FA. Significance analysis of functional categories in gene expression studies: a structured permutation approach. Bioinformatics 2005;21:1943–1949.
44. Childhood Asthma Management Program Research Group. The Childhood Asthma Managment Program (CAMP): design, rationale, and methods. Control Clin Trials 1999;20:91–20.
45. Hunninghake GM, Soto-Quiros ME, Avila L, Su J, Murphy A, Demeo DL, Ly NP, Liang C, Sylvia JS, Klanderman BJ, et al. Polymorphisms in IL13, total IgE, eosinophilia, and asthma exacerbations in childhood. J Allergy Clin Immunol 2007;120:84–90.
46. Lange C, DeMeo D, Silverman EK, Weiss ST, Laird NM. PBAT: tools for family-based association studies. Am J Hum Genet 2004;74:367–369.
47. Seto ES, Bellen HJ. The ins and outs of wingless signaling. Trends Cell Biol 2004;14:45–53.
48. Van Scoyk M, Randall J, Sergew A, Williams LM, Tennis M, Winn RA. Wnt signaling pathway and lung disease. Transl Res 2008;151:175–180.
49. Shannon JM, Hyatt BA. Epithelial-mesenchymal interactions in the developing lung. Annu Rev Physiol 2004;66:625–645.
50. Moon RT. Wnt/β-catenin pathway. Sci STKE 2005;271:cm1.
51. Konigshoff M, Eickelberg O. Wnt signaling in lung disease: a failure or a regeneration signal? Am J Respir Cell Mol Biol 2010;42:21–31.
52. Dean CH, Miller LA, Smith AN, Dufort D, Lang RA, Niswander LA. Canonical Wnt signaling negatively regulates branching morphogenesis of the lung and lacrimal gland. Dev Biol 2005;286:270–286.
53. Tebar M, Destree O, de Vree WJ, Ten Have-Opbroek AA. Expression of Tcf/Lef and sFrp and localization of beta-catenin in the developing mouse lung. Mech Dev 2001;109:437–440.
54. Mucenski ML, Nation JM, Thitoff AR, Besnard V, Xu Y, Wert SE, Harada N, Taketo MM, Stahlman MT, Whitsett JA. Beta-catenin regulates differentiation of respiratory epithelial cells in vivo. Am J Physiol Lung Cell Mol Physiol 2005;289:L971–L979.
55. Driskell RR, Goodheart M, Neff T, Liu X, Luo M, Moothart C, Sigmund CD, Hosokawa R, Chai Y, Engelhardt JF. Wnt3a regulates Lef-1 expression during airway submucosal gland morphogenesis. Dev Biol 2007;305:90–102.
56. Colston JT, de la Rosa SD, Koehler M, Gonzales K, Mestril R, Freeman GL, Bailey SR, Chandrasekar B. Wnt-induced secreted protein 1 is a prohypertrophic and profibrotic growth factor.Am J Physiol Heart Circ Physiol 2007;293:H1839–H1846.
57. Konigshoff M, Balsara N, Pfaff EM, Kramer M, Chrobak I, Seeger W, Eickelberg O. Functional Wnt signaling is increased in idiopathic pulmonary fibrosis. PLoS One 2008;3:e2142.
58. Vuga LJ, Ben-Yehudah A, Kovkarova-Naumovski E, Oriss T, Gibson KF, Feghali-Bostwick C, Kaminski N. Wnt5a is a regulator of fibroblast proliferation and resistance to apoptosis. Am J Respir Cell Mol Biol 2009;41:583–589.
59. Chilosi M, Poletti V, Zamo A, Lestani M, Montagna L, Piccoli P, Pedron S, Bertaso M, Scarpa A, Murer B, et al. Aberrant Wnt/beta-catenin pathway activation in idiopathic pulmonary fibrosis. Am J Pathol 2003;162:1495–1502.
60. Konigshoff M, Kramer M, Balsara N, Wilhelm J, Amarie OV, Jahn A, Rose F, Fink L, Seeger W, Schaefer L, et al. Wnt1-inducible signaling protein-1 mediates pulmonary fibrosis in mice and is upregulated in humans with idiopathic pulmonary fibrosis. J Clin Invest 2009;119:772–787.
61. Ai L, Kim WJ, Kim TY, Fields CR, Massoll NA, Robertson KD, Brown KD. Epigenetic silencing of the tumor suppressor cystatin m occurs during breast cancer progression. Cancer Res 2006;66:7899–7909.
62. Sun J, Chen H, Chen C, Whitsett JA, Mishina Y, Bringas P Jr, Ma JC, Warburton D, Shi W. Prenatal lung epithelial cell-specific abrogation of alk3-bone morphogenetic protein signaling causes neonatal respiratory distress by disrupting distal airway formation. Am J Pathol 2008;172:571–582.
63. Laumanns IP, Fink L, Wilhelm J, Wolff JC, Mitnacht-Kraus R, Graef-Hoechst S, Stein MM, Bohle RM, Klepetko W, Hoda MA, et al. The noncanonical Wnt pathway is operative in idiopathic pulmonary arterial hypertension. Am J Respir Cell Mol Biol 2009;40:683–691.
64. Rogers AJ, Raby BA, Lasky-Su JA, Murphy A, Lazarus R, Klanderman BJ, Sylvia JS, Ziniti JP, Lange C, Celedon JC, et al. Assessing the reproducibility of asthma candidate gene associations using genome-wide data. Am J Respir Crit Care Med 2009;12:1084–1090.
Correspondence and requests for reprints should be addressed to Sunita Sharma, M.D., Channing Laboratory, 181 Longwood Avenue, Boston, MA 02115. E-mail:

Related

No related items
American Journal of Respiratory and Critical Care Medicine
181
4

Click to see any corrections or updates and to confirm this is the authentic version of record