Background
CD14 is a pattern-recognition receptor and exists as two distinct forms: as a glycosyl-phosphatidylinositol (GPI) - anchored membrane protein on the surface of monocytes, macrophages and neutrophils and as a monocyte or liver-derived serum soluble protein (sCD14) lacking the GPI anchor [
1]. Soluble CD14 is an acute phase protein [
2], but is also found in normal serum at microgram concentrations [
3], and confers sensitivity to a gram-negative bacterial cell wall component, i.e. lipopolysaccharide (LPS), for cells lacking membrane CD14, such as endothelial and epithelial cells [
4]. Together with LPS and LPS-binding protein, CD14 forms a ligand that interacts with the toll-like receptor – 4 (TLR-4)/MD-2 receptor complex and leads to activation of innate host defense mechanisms, stimulating numerous Th
1 proinflammatory cytokines, including tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6) [
5]. Recently, it has been suggested that CD14 also can interact with other pathogen-associated molecular patterns (PAMPs) such as acylated lipoproteins and peptidioglycan from gram-positive bacteria, and can participate in the formation of multi-receptor complexes other than TLR-4, e.g. TLR-1, -2 and -6 [
6].
Farming environments are highly contaminated with airborne inhalable organic dust [
7,
8], which contains PAMPs, including gram-negative and gram-positive bacterial components [
9,
10]. Forty % of these dust particles are in the respirable range with a median diameter of 4 μm or less, which may be deposited at the level of the terminal bronchioles and alveoli [
7,
11]. Chronic inhalation of complex organic dust is implicated in respiratory disease development and severity, including rhinitis, sinusitis, asthma-like syndrome, organic dust toxic syndrome, chronic bronchitis, and chronic obstructive pulmonary disease (COPD) [
12]. Several studies associate LPS levels in the agricultural environment with adverse respiratory health outcomes. In healthy individuals, inhalation of purified LPS induces dose-related symptoms, a decrease in lung function and diffusion capacity, airway obstruction and both bronchial and systemic inflammation [
13‐
17].
While these studies suggest an important role of LPS in respiratory disease pathogenesis, the function of sCD14, a critical receptor for LPS, in host defense and respiratory disease among agricultural workers has not been defined. In fact, no large-scale comprehensive studies have examined the relationship of sCD14 concentrations with measures of lung function in occupationally- or non-occupationally- exposed individuals. The limited numbers of small studies in non-occupationally exposed adults have shown that sCD14 levels are elevated in ever smokers and COPD patients (LPS is a component of cigarette smoke), and humans experimentally exposed to LPS compared to healthy non-smokers [
14,
18].
Soluble CD14 levels also have been shown to be influenced by
CD14 polymorphisms in diverse populations such as infants, patients with cardiovascular disease, tuberculosis, periodontal disease and healthy persons [
14,
19‐
23]. Whether the association between sCD14 levels and lung function is modified by
CD14 polymorphisms has not been investigated.
As part of the present study, we utilized cross-sectional data from a well-characterized population of agricultural workers from the Midwest to determine if sCD14 concentration was associated with lung function. We hypothesized that circulating concentrations of sCD14 are elevated in agricultural workers with impaired lung function compared to those with higher lung function. We also examined whether well-characterized polymorphisms and haplotypes in the CD14 gene modify this association.
Methods
Study population and clinical assessments
This is a cross-sectional study of U.S veterans with agricultural exposure recruited from the outpatient clinics at the Omaha Veterans Affairs Medical Center. During a clinic visit, the veteran was asked the following question, “Have you worked on a farm for more than two years?”
Those who answered “yes” to this question and were between the ages of 40 and 80 years of age were eligible for the study. Based on self-report and medical chart confirmation, participants had no history of asthma, lung cancer, metastatic cancer to the lungs or interstitial lung diseases such pulmonary fibrosis, sarcoidosis or hypersensitivity pneumonitis. Atopy was not assessed in the participants. Those with a history of an infection or exacerbation within the previous three weeks were excluded from the study. Recruitment into the study began March 2008 and continued through December 2013, with a total 681 participants. Demographic information, smoking status and years worked on a farm were obtained by self-report at the time of enrollment. Smokers were defined as having smoked more than 100 cigarettes in their lifetime [
24]. Blood was obtained by venipuncture and used for cell differentials, serum sCD14 and genomic DNA isolation. All participants underwent spirometry with post-bronchodilator spirometry (0.083% albuterol) performed on veterans with a FEV
1/FVC < 0.70. COPD was defined by the Global Initiative for Chronic Obstructive Lung Disease (GOLD) classification criteria as FEV
1/FVC < 0.70 [
25]. The highest recorded FEV
1 and FVC were used to derive height-, weight-, age-, gender- and ethnic- adjusted values based on National Health and Nutrition Survey (NHANESIII) reference equations [
26]. The study was approved by the VA Institutional Review Board, and all participants signed a written informed consent document before enrollment.
Soluble CD14 ELISA
Soluble CD14 in serum was quantified using a commercially available kit (DuoSet ELISA development system, R & D Systems, Inc., Minneapolis, MN, USA) (Supplement Methods). The limit of detectability was 125 pg/ml.
Genetic analysis
The complete coding region of
CD14, intronic sequence, 6 kb of 5’ genomic and 2 kb of 3’ genomic DNA were analyzed, and tagging single nucleotide polymorphisms (SNPs) were chosen based on a minor allele frequency > 5% and linkage disequilibrium (LD) <0.8 [
27]. Additional SNPs were included based on their functional significance and relevant citations in the literature. The following SNPs were analyzed for this study, nomenclature relative to translation start site:
CD14/-2838, rs2569193;
CD14/-1720, rs2915863;
CD14/-651, rs5744455; and
CD14/-260, rs2569190. Aliases relative to the transcription start site are
CD14/-2737,
CD14/-1619,
CD14/-550, and
CD14/-159, respectively. Genomic DNA was isolated from whole blood using the QiaAMP DNA Blood and Tissue Mini Kit (Qiagen, Valencia, CA, USA). DNA samples were genotyped using matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF; Agena Bioscience, San Diego, CA, USA). Multiplex polymerase chain reaction assays and associated extension reactions were designed using SpectroDesigner software (Agena Bioscience). Primer extension products were loaded onto a 384-element chip with a nanoliter pipetting system (Agena Bioscience) and analyzed with a MassArray mass spectrometer (Bruker Daltonik GmbH, Bremen, Germany). The resulting mass spectra were analyzed for peak identification using SpectroTyperRT 4.0 software. For genotyping quality control, Hardy-Weinberg calculations were performed to ensure that each marker was within the expected allelic population equilibrium.
Statistical analyses
Continuous lung function variables (% predicted FEV1 and FEV1/FVC ratio) were compared by patient characteristics using t-test and ANOVA. Soluble CD14 levels were categorized at the median value (≤ median, > median) due to right-handed skew and bimodal distribution; therefore, a transformation would not be able to normalize the data. Because of the bimodal distribution, we felt it most appropriate to categorize soluble CD14 at the median. Associations with patient characteristics and lung function variables were assessed using chi-square and t-tests. Because smoking history and COPD are directly related to lung function, a combination variable (COPDsmoke) was made to assess the interaction between sCD14 and lung function. COPDsmoke contained 4 categories: 1) COPD, ever smoker, 2) COPD, never smoker, 3) no COPD, ever smoker, and 4) no COPD, never smoker. The effect of sCD14 (≤ median, > median) and COPDsmoke on lung function was examined in 2-way ANOVA models, with the lung function variable as the outcome, fixed effects for sCD14 (≤ median, > median) and COPDsmoke, and the sCD14 (≤ median, > median) x COPDsmoke interaction term included in the model. Multivariable linear regression models were examined considering the sCD14 (≤ median, > median) x COPDsmoke interaction on lung function, while adjusting for age, body mass index (BMI), education, sex, race and years worked on a farm. P-values for pairwise comparisons were adjusted with Tukey’s method, a standard technique that considers all possible pairwise differences of means at the same time.
Associations between sCD14 (≤ median, > median) and CD14 polymorphisms were assessed using chi-square tests. The effect of CD14 polymorphisms on lung function was assessed with univariate ANOVA and multivariable linear regression. Multiplicative interactions of CD14 polymorphisms x sCD14 (≤ median, > median) or CD14 polymorphisms x COPDsmoke on lung function were tested, and neither were found to be statistically significant. Multivariable models were adjusted for age, BMI, education, sex, COPD status, race and years worked on a farm.
CD14 haplotypes were constructed using Haploview software, and haplotype blocks were estimated using the confidence interval for R2 values. Haplotypes were defined as CD14/-2838, CD14/-1720, CD14/-651 and CD14/-260. The association between sCD14 and CD14 haplotypes was tested using the R function haplo.score. The effect of a multiplicative interaction of sCD14 (≤ median, > median) x CD14 haplotypes on lung function was also evaluated in regression models, assuming an additive model for the haplotypes. The interaction between COPDsmoke x CD14 haplotypes was not significant and removed from the models. Modelling the effect of haplotypes was conducted with the R package haplo.stats and the haplo.glm and haplo.score functions. Haplo.glm fits multivariable linear regressions of lung function on haplotype, allowing for ambiguous haplotypes, interactions and covariates. This method performs an iterative two-step expectation-maximization (EM) algorithm, with the posterior probabilities as weights to update the regression coefficients, and the regression coefficients are used to update the posterior probabilities . Models that do not include haplotype information were fit using SAS 9.3 (SAS Institute Inc., Cary, NC, USA).
Discussion
CD14 is an acute phase protein involved in LPS signaling and therefore is essential for interfacing the innate immune system with PAMPs. Studies have found that airway inflammation and decreased pulmonary function are common among farmers, and these findings are linked to the presence of LPS in inhaled organic dust [
12]. The importance of CD14 in inflammatory processes is underscored by its association with a multitude of diseases, including sepsis, cardiovascular disease, periodontitis, tuberculosis and atopic asthma [
29‐
33]. CD14 represents an important mediator of lung function, as we have shown previously that
CD14 haplotypes (
CD14/-1720G or
CD14/-260A) are associated with decreased lung function among those exposed to agricultural environments [
34]. The current study presents new evidence for the relationship between sCD14 levels and pulmonary function among agricultural workers and haplotype x sCD14 interaction with lung function.
Specifically we found that sCD14 levels were inversely related to % predicted FEV
1 and FEV
1/FVC; however, this association was found only in COPD patients that were ever smokers compared to those without COPD (ever/never smokers). Though there have been no studies investigating the association between sCD14 levels and lung function, in a case-control study of nine never smokers, 10 healthy smokers and 10 COPD patients, Reguiro et al. showed that sCD14 levels in the bronchoalveolar lavage fluid were elevated among healthy smokers and patients with COPD compared to never-smokers [
18]. We found a similar but non statistically significant relationship in our agriculturally-exposed population. This discrepancy is most likely due to measurement of sCD14 levels in two different compartments, the bronchoalveolar lavage fluid of the lung and blood serum.
The reasons for the association between sCD14 concentration and reduced pulmonary function among those with COPD are not fully understood, but several mechanisms may be involved. Reduced lung function among COPD patients may be responsible, in part, for the observed systemic inflammation as measured by sCD14. Inflammatory lung or pulmonary epithelial cells have been shown to express IL-6. IL-6 may reach the liver via the bloodstream, stimulating the acute phase response and production of sCD14 by the liver and sequentially activating pulmonary inflammatory cells during transit through the pulmonary circulation. An alternative mechanism -reverse causation- cannot be excluded: high levels of cytokines and acute phase reactants in the peripheral circulation as a consequence of cigarette smoking may be a cause rather than a consequence of poor lung function. Persistence of elevated sCD14 concentration and systemic inflammation may result in damage to the airways, and lower FEV1 of COPD patients.
The marginal associations between
CD14 genotypes and sCD14 concentrations may not be surprising, given the equivocal results reported to date. While some studies have shown significant association of the same tagging polymorphisms examined in our study with sCD14 concentration, others failed to show any associations [
14,
19,
20,
35‐
38]. These inconsistencies may be driven by the complex gene-environment interactions of CD14 expression as well as the use of relatively healthy versus diseased subjects where any genetic influences on sCD14 are simply overshadowed by other inflammatory stimuli. The masking of the polymorphism-protein signal via inflammation was convincingly reported by measuring sCD14 levels pre- and post- endotoxin inhalation;
CD14/-260 and
CD14/-1720 were associated with sCD14 levels pre-inhalation yet not post-inhalation [
14]. Recently, it has been shown that the association between
CD14 polymorphisms and sCD14 levels decreases from birth to 10 years of age and that this lack of association is paralleled with a significant increase in
CD14 methylation. Importantly,
CD14 methylation levels were inversely associated with sCD14 levels. Further studies are necessary to understand the impact of agricultural exposure and
CD14 methylation on sCD14 levels in this population [
38].
There have been a limited number of studies in adults showing an association between
CD14 polymorphisms and several lung phenotypes such as asthma and allergy [
39,
40], wheeze [
41], pulmonary tuberculosis [
42] and pulmonary function [
41,
43‐
45]. While the results of the present study show a weak association between
CD14 polymorphisms and lung function, we found a significant interaction between
CD14 haplotypes and sCD14 levels on lung function. Many multiplicative interactions have been found with
CD14 polymorphisms and environmental exposures. In a study of Dutch farmers and agriculture industry workers, increased environmental exposure to endotoxin in those with the
CD14/-1720 T or
CD14/-260G allele was associated with lower FEV
1 values compared to those homozygous for the C or A allele [
41]. In contrast, in a study of laboratory animal workers, those with high endotoxin exposure and the
CD14/-1720C allele had significantly lower lung function than workers with the TT genotype [
43]. In another study of adults, pack-years of smoking was found to modify the association between
CD14/-260 and lung function (FEV
1 or FEV
1/FVC) [
45]. In this study, the
CD14/-260AA genotype was associated with lower lung function in moderate smokers, while heavy smokers with the CC genotype had decreased lung function [
45]. These disparate results underscore the complex nature of the CD14 gene and the importance of integrating genetic, epigenetic and environmental exposures for understanding determinants of the outcome.
A strength of this study is that rather than selecting only polymorphisms with known biologic function, our approach involved the use of tagging polymorphisms with the broader goal of capturing the overall polymorphic nature of the gene. Therefore it is possible that the haplotypes examined in this study and shown to interact with sCD14 may have little functional biologic consequence. For instance, the haplotype GTTG was shown to interact with serum sCD14 levels. Each polymorphism in this haplotype is found in the promoter region of the
CD14 gene, yet only one locus has been shown to be functional,
CD14/-260 [
36]. It is possible that the
CD14/-2838,
CD14/-1720 and
CD14/-651 are not functional but are merely in LD with other regions of the gene. The
CD14/-260 polymorphism has been shown to be functional via modifying the transcriptional activity via SP transcription factors, with the A allele having more gene expression than the G allele [
36].
To our knowledge, this is the first study to show an association between sCD14 levels, CD14 haplotypes and lung function in an occupationally-exposed population. However the question remains as to whether agricultural exposure plays a role in our findings. Replication of this study in participants without agricultural exposure would be necessary to address this issue. A limitation of using an exposed population is that a “healthy worker effect” may have resulted in bias towards the null, because individuals with respiratory problems may avoid agricultural jobs with the highest exposures. Due to the cross-sectional nature of this study, we were unable to account for this type of bias. Furthermore, we were unable to measure LPS in the occupational setting to determine whether the association between sCD14 and lung function was modified by LPS exposure intensity, an area that warrants further study. In addition our population was composed of mostly Caucasian males and additional population studies with other ancestries would be important information.
Acknowledgments
We would like to acknowledge the hard work by the study coordinators Robin Zotti-Pierce, Eric Chickris and Kelsey Palm.