Skip to main content
British Journal of Clinical Pharmacology logoLink to British Journal of Clinical Pharmacology
. 2015 Apr 22;79(5):767–776. doi: 10.1111/bcp.12546

Characterization of the inflammatory response to inhaled lipopolysaccharide in mild to moderate chronic obstructive pulmonary disease

Vandana Gupta 1,, Antonia Banyard 1, Aoibheann Mullan 1, Srividya Sriskantharajah 2, Thomas Southworth 1, Dave Singh 1
PMCID: PMC4415713  PMID: 25377849

Abstract

Aims

Lipopolysaccharide (LPS) inhalation causes increased airway and systemic inflammation. We investigated LPS inhalation in patients with chronic obstructive pulmonary disease (COPD) as a model of bacterial exacerbations. We studied safety, changes in sputum and systemic biomarkers. We have also investigated interleukin (IL)-17 concentrations in this model.

Methods

Twelve COPD patients inhaled 5 μg LPS. Safety was monitored over 24 h. Sputum was induced at baseline, 6 and 24 h for cells and IL-8, IL-17, neutrophil elastase, monocyte chemoattractant protein-1 (MCP-1) and macrophage inflammatory protein-1β (MIP-1β) in supernatants. Serum was collected at baseline, 4, 8 and 24 h for IL-6, C-reactive protein (CRP) and Clara cell protein (CC-16) concentrations. Peripheral blood mononuclear cells (PBMCs) were isolated at baseline and 4 h for systemic IL-17 analysis.

Results

LPS 5 μg was well tolerated. The greatest FEV1 change was 11.7% (mean) at 1 h (95% CI 5.1–18.2%). There was a large range in maximal fall (2.5–37.7%). Total sputum cell count and neutrophil count significantly increased 6 and 24 h post-LPS. There was no change in sputum supernatant mediators. IL-6, CRP and CC-16 increased post-inhalation, with different temporal patterns. CD4+ and CD8+ cell associated IL-17 significantly increased at 4 h.

Conclusions

Inhaled LPS in COPD patients safely causes increased airway and systemic inflammation. This may be a model for studying COPD exacerbations.

Keywords: COPD, COPD exacerbations, IL-17, lipopolysaccharide, sputum neutrophils

What is Already Known about this Subject

  • Inhaled lipopolysaccharide (LPS) has been used safely in healthy subjects, asthmatics and smokers to induce increased neutrophilic inflammation and to assess the effects of novel drugs.

  • Chronic obstructive pulmonary disease (COPD) exacerbations are characterized by increased neutrophilic inflammation.

What this Study Adds

  • We performed LPS inhalation safely in 12 COPD patients.

  • Inhaled LPS in COPD patients increased airway and systemic inflammation; this appears to be a model that resembles COPD exacerbations and could be used to evaluate novel COPD therapies.

Introduction

Chronic obstructive pulmonary disease (COPD) patients suffer with progressive airflow obstruction 1. A hallmark feature of this condition is increased airway inflammation, involving neutrophils, macrophages and lymphocytes 2. A subgroup of COPD patients also have significant systemic inflammation 1. Exacerbations are defined as acute worsenings of COPD beyond the normal day to day variation 3. COPD patients who frequently exacerbate have increased mortality, accelerated decline in lung function and worse quality of life 3. Exacerbations may be caused by viral or bacterial infections, and are characterized by increased airway and systemic inflammation 4. There is a need to develop novel therapies to prevent exacerbations.

Lipopolysaccharide (LPS), also known as endotoxin, is a constituent of the outer cell membrane of gram negative bacteria and triggers an innate immune response after binding to Toll like receptor 4 (TLR4) 5. Inhaled LPS has been used experimentally in healthy subjects and patients with asthma to cause acute neutrophilic airway inflammation 6,7, which is accompanied by a short lived systemic immune response involving an increase in C-reactive protein (CRP) and interleukin 6 (IL-6) concentrations 6,8,9. This model has been used safely in healthy subjects in order to investigate the effects of anti-inflammatory drugs on neutrophilic airway inflammation 1012. Novel drugs in early clinical development for the treatment of COPD can be tested using this healthy volunteer model before proceeding to larger studies involving COPD patients.

A potential criticism of the LPS model in healthy non-smokers is that acute inflammation in healthy lungs does not resemble COPD lung inflammation. The numbers of airway neutrophils are increased in healthy smokers compared with healthy non-smokers 13 and are further increased in COPD patients 14. We have recently demonstrated that inhaled LPS causes an acute increase in airway neutrophil numbers in healthy smokers 15. This might more closely resemble the acute increase in airway neutrophil numbers that occurs on a background of chronic neutrophilic airway disease during COPD exacerbations 16. We were interested to develop this model further by characterizing the immune response to LPS in COPD patients. This could serve as a model of bacterial exacerbations in COPD patients, in order to test the efficacy of novel pharmacotherapies.

Recently, there has been much interest in COPD biomarkers that are secreted by the lung and measurable systemically. An example is CC-16 (Clara cell protein), which is produced by lung Clara cells and has anti-inflammatory actions 17. CC-16 concentrations are reduced in serum and sputum of COPD subjects compared with controls 17. There is also an increase in CC-16 concentrations in healthy non-smokers after inhalation of LPS and ozone 18,19 and healthy smokers after LPS inhalation 15. These findings suggest that CC-16 concentrations are increased by acute lung inflammation but decreased during the chronic inflammation that occurs in COPD.

LPS inhalation in COPD patients may serve as a model of COPD exacerbations that could be used to investigate the effects of novel pharmacotherapies in early phase clinical trials. The aims of this study were to examine the safety of LPS inhalation in mild to moderate COPD patients and to characterize changes in airway and systemic inflammation. We measured changes in sputum cellular counts, sputum supernatant IL-8, monocyte chemoattractant protein-1 (MCP-1) and macrophage inflammatory protein-1β (MIP-1β) concentrations, peripheral blood IL-6, CRP and CC-16 concentrations and IL-17 expression in the sputum and peripheral blood lymphocytes.

Methods

Patients

Twelve COPD patients with a forced expiratory volume in 1 s (FEV1) ≥70% and <100% predicted and a FEV1 : forced vital capacity (FVC) ratio <70% were recruited. Demographic details are shown in Table 1. Eight patients were taking inhaled corticosteroids. Patients were excluded if they had any other significant respiratory disease including asthma, any other inflammatory disease or an exacerbation within 6 weeks of screening. All patients were previously diagnosed with COPD by their primary care physician and the clinical history of COPD was checked by a physician at the research unit. In order to be eligible for the study patients had to produce an adequate sputum sample at the screening visit. All 12 patients produced adequate samples at subsequent visits. Written informed consent was obtained from all subjects and the study was approved by the Greater Manchester South ethics committee (reference 11/H1003/1).

Table 1.

A summary of baseline demographics of the 12 subjects

Age (years) 62.2 ± 4.6
M/F 10/2
FEV1 (l) 2.6 ± 0.7
FEV1 % predicted 85.3 ± 9.3
FEV1 : FVC 60.4 ± 6.3
BMI (kg m−2) 27.0 ± 3.2
Pack years 38.8 (11.4–122.2)*
ICS (Y/N) 8/4
LAMA (Y/N) 4/8
LABA (Y/N) 8/4
Current/Ex smoker 5/7
Chronic bronchitis (Y/N) 8/4
Number of exacerbations in previous 12 months 0 (0–2)*
FEV1 reversibility (ml) 219 ± 49.9
FEV1 reversibility (%) 9.6 ± 2.5
CAT score (n = 7) 17.9 ± 2.3
MMRC score (n = 7) 1 ± 0.2

All values are expressed as mean ± SD, apart from

*

expressed as median (range). BMI, body mass index; CAT, COPD assessment tool; FEV1, forced expiratory volume in 1 s post 200 μg inhaled salbutamol; FVC forced vital capacity; ICS inhaled corticosteroids; LABA long acting β-adrenoceptor agonist; LAMA long acting muscarinic antagonist; mMRC score Modified Medical Research Council score.

Study design

The protocol specified that the safety and effects of 5 μg and 30 μg LPS inhalation on systemic and airway inflammation in COPD patients would be assessed, with all patients completing the lower dose before proceeding to the higher dose. The patients underwent baseline sputum induction. After an interval of at least 48 h, an inhaled LPS challenge (Escherichia coli serotype 026:B6, Sigma-Aldrich, Gillingham, UK) was performed. LPS was reconstituted in 0.9% saline and delivered via a Mefar dosimeter (Markos Mefar, Bresica, Italy). Sputum induction was repeated at 6 and 24 h post-LPS inhalation. Pulse, blood pressure, oxygen saturations, temperature and spirometry (using Vitalograph, Buckinghamshire, UK) were performed pre-challenge, 5 and 30 min and then every hour for 8 h post-challenge, with the exception of spirometry, which stopped after sputum induction at 6 h when patients were administered salbutamol. Spirometry was also measured pre-sputum induction at 24 h. Patients were asked to report any new symptoms up to 24 h after LPS inhalation. Blood samples for biomarkers were collected pre-challenge and at 4, 8 and 24 h post-LPS challenge. Subjects were asked to refrain from smoking for at least 2 h prior to LPS inhalation.

Sputum supernatant and serum biomarkers

Sputum was induced and processed with dithiothreitol (DTT) using established methods 20. Further details are in the online supplement. Sputum supernatants were analyzed for IL-17A and IL-8 by ELISA, along with MCP-1 and MIP-1β by Luminex assay. Limits of detection are stated in the online supplement. The effect of DTT on IL-17, MCP-1 and MIP-1β recovery by immunoassay was assessed by reconstituting standards with and without 0.05% DTT. It is already known that DTT does not affect IL-8 recovery 21. Neutrophil elastase was quantified using Rhodamine. Full details are in the online supplement. Serum concentrations of IL-6 and CC-16 were measured by ELISA, while CRP was measured using an immunoturbidimetric technique. Full details are in the online supplement. All immunoassays were performed in triplicate. All values were required to be within 10% of each other. The mean of these triplicates was used.

Flow cytometry

Analysis of IL-17 positive lymphocytes from blood samples obtained from 11 patients before and 4 h post-LPS inhalation was carried out by flow cytometry. Further details are in the online supplement. Gating strategy is represented in Figure S1.

Statistical analysis

No formal sample size calculation was performed, as there are no previous LPS challenge data in COPD patients to perform such a calculation. A sample size of 12 was chosen based on previous studies with similar sample sizes that were able to 7,15 detect changes in FEV1 and sputum inflammatory markers.

Safety data were analyzed using one way anova with Bonferroni correction. Neutrophil and macrophage differential counts and serum CC-16 concentrations were normally distributed, with LPS effects analyzed by Student's paired t-tests. Other sputum cell counts, sputum supernatant measurements, and serum IL-6 and CRP were non-parametric, so were log transformed and then compared using Student's paired t-tests. Flow cytometry IL-17 concentrations were compared using a Wilcoxon matched paired test. P < 0.05 was considered significant. Two sputum slides obtained after LPS challenge from 10 patients were counted, in order to assess within sample repeatability; Bland−Altman analysis and intraclass correlation coefficients (ICC) were performed.

Results

Safety

Following inhalation of 5 μg LPS, five patients experienced minor symptoms of headache (n = 4) and mild cough (n = 1), which resolved at 24 h. Figure 1A shows there was a significant fall in FEV1 from 0.5 to 6 h after LPS inhalation, which returned to normal at 24 h. The greatest mean change in FEV1 was 11.7% at 1 h (95% CI 5.1, 18.2%). The maximal fall in FEV1 varied between patients (2.5% to 37.7%; Figure 1B), and occurred between 5 min and 5 h post-LPS inhalation (mean 155.4 ± 30.7 min). Given this large fall in FEV1 observed in some patients after inhalation of 5 μg LPS, the investigators decided that it was unsafe to proceed to inhalation of 30 μg. There were no significant relationships between smoking status or inhaled corticosteroid use and maximal fall in FEV1.

Figure 1.

Figure 1

Safety assessments following LPS inhalation. (A) percentage change in FEV1, (B) maximal fall in FEV1 for each individual subject, (C) change in temperature and (D) change in pulse rate. All data points in (A), (C) and (D) represent mean and error bars SEM, (all n = 12). * indicates P ≤ 0.05 and ** indicates P ≤ 0.001 compared with baseline

There were no significant changes in the mean temperature and pulse after LPS inhalation (Figure 1C, D), or oxygen saturations and blood pressure (see Figure S2 for oxygen saturations; blood pressure data not shown). There was, however, a large range in observed changes in temperature and pulse post-LPS. Maximal increase in temperature and pulse varied between 0 and 1.1°C and 1 and 28 beats min−1, respectively.

Airway inflammation

Sputum cell counts

There were significant increases in total cell count g−1 of sputum at 6 and 24 h (2.5 and 2.7 fold respectively), and also total neutrophil count g−1 of sputum at 6 and 24 h (2.5 and 2.3 fold respectively; Table 2). There were no significant changes in sputum neutrophil % or the percentage or absolute number g−1 of any other cell type after LPS inhalation. There were few squamous cells present in the cytospins (mean 0.6%). There were no significant relationships between maximal fall in FEV1 and total neutrophil count g−1 sputum. There were also no significant relationships between smoking status or inhaled corticosteroid use and total neutrophil count g−1 sputum. The mean difference between neutrophil percentage between slides from the same patient sample was −1.8%, with limits of agreement −8.1 to 4.5%. ICC was 0.95, indicating excellent repeatability.

Table 2.

Sputum cell counts at baseline, 6 h and 24 h post-LPS inhalation

Baseline 6 h 24 h
Neutrophil % 72.0 (± 14.6) 78.5 (± 11.6) 76.6 (± 10.8)
Macrophage % 22.3 (± 11.0) 18.6 (± 10.9) 18.6 (± 10.4)
Eosinophil % 0.8 (0.3–13.5) 0.8 (0–3.3) 0.8 (0–11)
Lymphocyte % 0.0 (0–0.8) 0.0 (0.0–1.0) 0.0 (0–1.0)
Epithelial cell % 1.8 (0–9.8) 1.4 (0–4.8) 2.4 (0–5.7)
Total cell count (×106) per gram 2.1 (0.3–13.9) 5.2 (2.1–25.2)* 5.6 (1.9–17.3)*
Neutrophil cell count (×106) per gram 1.6 (0.3–11.3) 4.1 (1.1–22.4)* 3.7 (1.4–15.5)*
Macrophage cell count (×106) per gram 0.4 (0.1–4.4) 0.9 (0.2–2.7) 0.1 (0.0–1.8)
Eosinophil cell count (×106) per gram 0.04 (0.00–0.16) 0.04 (0.00–0.15) 0.04 (0–0.75)
Lymphocyte cell count (×106) per gram 0.00 (0.00–0.01) 0.00 (0.00–0.02) 0.00 (0.00–0.05)
Epithelial cell count (×106) per gram 0.06 (0.00–0.46) 0.07 (0.00–0.13) 0.11 (0.00–0.69)

Neutrophil and macrophage % are presented as mean (± SD) and results compared with baseline using Student's paired t-test. †Data are presented as median (range), (n = 12). These results have been natural log transformed and then compared using Student's paired t-test.

*

indicates P ≤ 0.05.

Sputum supernatant

There were no significant changes in NE activity, IL-8, MCP-1 or MIP-1β in sputum supernatants at 6 and 24 h post-LPS inhalation (Figure 2). IL-17 was not detected in sputum supernatants. The recovery rates of the standards after addition of 0.05% DTT (mean ± SD) were 83.6 ± 13.2% for MCP-1, 69.7 ± 4.3% for MIP-1β, and 24.8 ± 4.5% for IL-17.

Figure 2.

Figure 2

Changes in sputum supernatant IL-8 (A; n = 12), elastase activity (B; n = 10), MCP-1 (C; n = 8) and MIP-1β (D; n = 8) post- LPS inhalation. Individual data points are represented, and red lines represent median

Systemic inflammation

Serum biomarkers

Figure 3 shows a significant increase in CC-16 at 4 h after LPS inhalation, which then returned to below baseline levels at 24 h. IL-6 concentrations were increased at 4 and 8 h after inhalation, with CRP increased at 24 h after challenge.

Figure 3.

Figure 3

Changes in systemic biomarkers over time following LPS inhalation. (A) represents CC-16 concentrations post-challenge, (B) represents IL-6 concentrations post-challenge and (C) represents CRP concentrations post-challenge. (A) is presented as mean and error bars represent SEM. (B) and (C) are presented as median and error bars represent range, (all n = 12). * indicates P ≤ 0.05, ** indicates P ≤ 0.001

IL-17 concentrations

The expression of IL-17 positive CD4 and CD8 blood lymphocytes increased significantly 4 h post-LPS inhalation compared with baseline (Figure 4), with CD4+ IL-17+ cells increasing from a median of 0.3% to 3.75% (P = 0.004) and CD8+ IL-17+ cells increasing from 0.3% to 2.75% (P = 0.004). The percentage of lymphocytes staining for CD3, CD4 and CD8 did not differ between baseline and 4 h post-LPS inhalation.

Figure 4.

Figure 4

CD4 and CD8 IL-17 expression in peripheral blood mononuclear cells (PBMCs) 0 h and 4 h post-LPS inhalation expressed as a percentage of CD3 positive population (n = 11), * indicates P ≤ 0.05

Discussion

LPS administered to COPD patients increased the total number of sputum neutrophils, with associated changes in serum levels of CC16, IL-6 and CRP. IL-17 expression in peripheral blood CD4 and CD8 cells was also increased, implicating TH17 cells in the acute systemic response after pulmonary TLR4 activation. We have safely administered LPS to COPD patients and suggest that this is a model of COPD bacterial exacerbations that can be used to investigate disease mechanisms or the effects of new pharmacotherapies.

The 5 μg inhaled LPS dose was symptomatically well tolerated, although there were large decreases in FEV1 in some patients. We therefore felt it unsafe to proceed to the higher LPS dose stated in the protocol. Previous studies involving healthy volunteers have administered inhaled LPS doses up to 300 μg 6,8,22,23, which have been associated with an increased incidence of side effects, such as decreases in lung function and flu-like symptoms. We used the same LPS serotype that we studied in healthy smokers, and observed that 5 μg caused greater decreases in FEV1 in some of the COPD patients compared with healthy smokers 15 where there was a mean maximal decrease in FEV1 of 8.2% (range 1.2−19.1%). This suggests that the presence of airflow obstruction in COPD predisposes to an increased tendency to bronchoconstriction after inhaled LPS. For this reason, we recommend that inhaled LPS challenges are only performed in patients with mild/moderate COPD. For safety reasons we included COPD patients with FEV1 ≥70% predicted. As with FEV1, there was a wide range in change in temperature (0–1.1°C) and pulse (1–28 beats min−1) again indicating significant variation in systemic LPS responses.

The large variation in the FEV1 response to inhaled LPS may be due to LPS tolerance 24, as the airways of some COPD patients are colonized with bacteria that stimulate TLR4 25. Current smoking status may also be important, as cigarette smoke contains LPS 26 and therefore could lead to tolerance. However, we did not find any relationship between current smoking status and response to LPS, although the numbers involved in this sub-analysis were small. Alternatively, genetic polymorphisms in the TLR4 receptor complex may be responsible for this diversity 27. Furthermore, although there was a standardized method of LPS inhalation, the delivered dose of LPS may have varied between patients.

Inhaled LPS increased the total sputum cell count and absolute number of neutrophils at 6 and 24 h post-inhalation. However, there was no change in sputum neutrophil percentage. This contrasts with studies in healthy non-smokers where inhaled LPS increased both the percentage and absolute number of sputum neutrophils 6,7,11,22. Healthy non-smokers have a neutrophil percentage that is generally <50%, affording an adequate ‘window’ for LPS to increase the neutrophil percentage 14. It is well known that healthy smokers have an increased neutrophil percentage caused by cigarette smoking, often in the range 50–70% 15. We have shown that inhaled LPS causes a further small increase in the neutrophil percentage in healthy smokers and also increases the total neutrophil cell count 15. The high pre-LPS challenge sputum neutrophil percentage in COPD patients (71%) prevented a statistically significant increase in this measurement being observed after LPS challenge. However, we were still able to observe >2-fold increases in the total neutrophil count g−1 of sputum. In addition, previous studies investigating sputum neutrophils in COPD exacerbations compared with stable patients have also found increased sputum neutrophil numbers but not percentages 2830. Thus the sputum changes seen in our model resemble those seen during exacerbations. Within sample repeatability of sputum neutrophil percentage was excellent in this study, with an ICC of 0.95. Furthermore, there are multiple reports demonstrating both short term 31,32 and long term 33 reproducibility of sputum cell counts. These results support the use of sputum neutrophils as a biomarker in COPD.

The majority of patients in this study (eight out of 12) were taking regular inhaled corticosteroids. A subgroup analysis showed no influence of inhaled corticosteroid use on the LPS response, although it is clear that the sample size for this analysis is small. It is unlikely that inhaled corticosteroids influenced the LPS response in this study, as oral corticosteroids do not affect LPS induced airway inflammation in healthy subjects 11.

Studies in healthy volunteers and patients with asthma have shown that inhaled LPS increases the concentrations of IL-8 and MCP-1 in induced sputum 7,22, while in bronchoalveolar lavage there is an increase in IL-8 and MIP-1 concentrations after LPS inhalation 10,34. We did not observe any changes in the levels of these proteins in induced sputum after LPS challenge. COPD patients have higher levels of IL-8 and MCP-1 14,35 in induced sputum compared with healthy controls, and perhaps the reason for a lack of induction of IL-8 in COPD patients was that the levels were already elevated before LPS inhalation. Another possible explanation for our finding is that we terminated the study after a low dose of LPS, while a higher LPS dose might have increased the levels of these proteins. However, the increased sputum neutrophil cell count caused by the low dose of LPS in the current study suggests that LPS increased neutrophilic chemokine levels in the airways of COPD patients. Perhaps our study was underpowered to detect such changes in the sputum supernatant.

Sputum NE activity has been shown to be elevated in subjects with COPD compared with controls 36 and is further increased during exacerbations, in particular bacterial exacerbations 37. There was no significant increase in NE activity post-LPS inhalation. Again, this may be due to a higher baseline in COPD subjects to begin with, and the low dose of LPS used.

LPS inhalation causes an acute increase in serum CC-16 concentrations in healthy smokers followed by a decrease to below pre-challenge levels by 24 h 15. The same pattern was observed in COPD patients in this study. In the stable state, it is known that smokers and COPD patients have lower concentrations of CC16 in serum and sputum compared with healthy non-smokers 17. This suggests that acute inflammation caused by TLR4 signalling in COPD causes an acute up-regulation of CC16 secretion, followed by chronic down-regulation.

Serum IL-6 and CRP concentrations are increased during exacerbations of COPD 4. Inhaled LPS increased serum IL-6 and CRP in COPD patients. This has also been observed in healthy volunteers 6,8,9. IL-6 regulates CRP production by the liver 38, explaining the temporal difference in the increase in these biomarkers. Although we detected an increase in CRP concentrations at 24 h only, this increase may have occurred at any time between the blood sampling times of 8 and 24 h. These changes in systemic inflammatory biomarkers indicate that the airway inflammatory changes caused by the low dose of LPS were associated with significant systemic inflammation. The airway and systemic inflammatory changes caused by LPS inhalation are similar to those observed during COPD exacerbations 4,37, and suggest that this model could be used to test the effects of novel drugs designed to prevent the inflammatory response during COPD exacerbations.

IL-17 is released by a distinct CD4+ T-cell lineage called TH17 cells as well as CD8+ T cells. The expression of IL-17 is increased in the airways of COPD patients compared with controls 39,40. TH17 cell numbers are also increased in the peripheral blood of subjects with COPD 41. We observed that LPS inhalation increased the number of CD4+ and CD8+ cells expressing IL-17. Lymphocytes are usually activated by antigens processed by antigen presented cells and recognised by the T cell receptor (TCR) 42. However, lymphocytes can also be activated by non-TCR mediated mechanisms such as cytokine activation or through TLR receptors expressed on lymphocytes 43. Although we delivered LPS locally to the lungs, it is possible that some was absorbed into the systemic circulation and caused TLR mediated IL-17 production. Alternatively, cytokine activation of these peripheral lymphocytes is possible.

There is evidence that bacteria can activate lymphocytes in COPD. Non-typeable Haemophilus influenza induces more IL-13, IL-17 and TNF-α release from COPD lung CD4 and CD8 cells than controls 44. Our results further implicate bacterial antigens in the activation of lymphocytes in COPD.

The expression of TH17 cells during COPD exacerbations has not been studied. Our findings suggest that the fraction of IL-17 producing lymphocytes in the blood may be increased early during COPD exacerbations. IL-17 is known to promote neutrophilic inflammation 45 and, perhaps, pharmacological interventions designed to interfere with TH17 activity may reduce neutrophilic inflammation during COPD exacerbations.

IL-17 concentrations in sputum supernatants were all lower than the assay standards. A previous study also encountered low IL-17 concentrations in sputum supernatants, which were not detectable using ELISA, but could be measured using a high sensitivity immunoassay 46. A further problem that we encountered with IL-17 detection was the low recovery rate (mean 24.8%). These technical issues mean that we cannot be sure whether there was an increase in IL-17 concentrations in sputum. In contrast, recovery rates of approximately 70% or above for MCP-1 and MIP-1β were observed, which meet the standards of acceptability set out in guidelines for sputum supernatant analysis 47. We can conclude that there were no increases in the levels of these proteins.

There are other experimental human models of neutrophilic airway inflammation. Inhaled ozone challenge has been used to investigate the effects of novel anti-inflammatory drugs on neutrophilic airway inflammation in healthy volunteers 4850. In addition, inhaled platelet activating factor (PAF) 51 causes neutrophilic airway inflammation in asthmatics. Recently, experimental rhinovirus infection in COPD patients has been used as a model of COPD exacerbations, with increased sputum neutrophils observed 52.

A significant limitation of this study is that it was carried out in mild COPD patients (FEV >70%) and therefore the results may not be generalizable to patients with more severe disease. However, the FEV1 reductions observed in some patients raises safety issues if this model were to be used in patients with more severe COPD. Our study design involved unblinded challenges, without a placebo challenge. An alternative design would have involved randomized, placebo controlled challenges. However, it should be noted that inhaled challenges in clinical trials, including LPS, are performed in an unblinded manner 1012,4850. We did not investigate reproducibility of challenges performed on different days, although a previous similar study demonstrated good reproducibility in healthy smokers 15.

We have demonstrated increased systemic and airway inflammation which resembles COPD exacerbations, but did not observe increased airway IL-8 or sputum neutrophil percentage which are both known to be associated with exacerbations 16,37. Our study demonstrates initial safety data for using LPS challenges in COPD and the changes in IL-8 and neutrophil percentage could be addressed in further larger studies.

In conclusion, we have safely conducted inhaled LPS challenges using a low dose (5 μg), which increased neutrophilic airway inflammation in COPD patients. This was associated with changes in systemic inflammation and overall the inflammatory changes observed resembled those seen in COPD exacerbations. Inhaled LPS challenge in COPD patients can therefore be used as a model to evaluate novel anti-inflammatory drugs designed to prevent COPD exacerbations.

Competing Interests

All authors have completed the Unified Competing Interest form at http://www.icmje.org/coi_disclosure.pdf (available on request from the corresponding author) and declare SK had support from GlaxoSmithKline for the submitted work and DS reports grants and personal fees from Almirall, grants and personal fees from AstraZeneca, grants and personal fees from Boehringer Ingleheim, grants and personal fees from Chiesi, grants and personal fees from GlaxoSmithKline, grants and personal fees from Merck, grants and personal fees from Novartis, grants and personal fees from Pfizer, grants and personal fees from Takeda, personal fees from CIPLA, personal fees from Forest, personal fees from Genetech outside the submitted work. There are no other relationships or activities that could appear to have influenced the submitted work.

Supporting Information

Additional Supporting Information may be found in the online version of this article at the publisher's web-site:

Figure S1 The gating strategy for the quantification of CD4 and CD8 IL-17 from a CD3 positive lymphocyte population basally (A) and 4 h post-LPS inhalation (B) with their corresponding isotype controls

bcp0079-0767-sd1.tif (55.4KB, tif)

Figure S2 Changes in oxygen saturations post-LPS inhalation. All data points represent mean ± SEM

bcp0079-0767-sd2.tif (23.9KB, tif)

References

  1. 2011. www.gold.com Global strategy for the diagnosis, management and prevention of chronic obstructive pulmonary disease.
  2. O'Donnell R, Breen D, Wilson S, Djukanovic R. Inflammatory cells in the airways in COPD. Thorax. 2006;61:448–454. doi: 10.1136/thx.2004.024463. [DOI] [PMC free article] [PubMed] [Google Scholar]
  3. Hurst JR, Wedzicha JA. Management and prevention of chronic obstructive pulmonary disease exacerbations: a state of the art review. BMC Med. 2009;7:40. doi: 10.1186/1741-7015-7-40. [DOI] [PMC free article] [PubMed] [Google Scholar]
  4. Hurst JR, Perera WR, Wilkinson TM, Donaldson GC, Wedzicha JA. Systemic and upper and lower airway inflammation at exacerbation of chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2006;173:71–78. doi: 10.1164/rccm.200505-704OC. [DOI] [PubMed] [Google Scholar]
  5. Akira S, Uematsu S, Takeuchi O. Pathogen recognition and innate immunity. Cell. 2006;124:783–801. doi: 10.1016/j.cell.2006.02.015. [DOI] [PubMed] [Google Scholar]
  6. Michel O, Nagy AM, Schroeven M, Duchateau J, Neve J, Fondu P, Sergysels R. Dose-response relationship to inhaled endotoxin in normal subjects. Am J Respir Crit Care Med. 1997;156(4 Pt 1):1157–1164. doi: 10.1164/ajrccm.156.4.97-02002. [DOI] [PubMed] [Google Scholar]
  7. Aul R, Patel S, Summerhill S, Kilty I, Plumb J, Singh D. LPS challenge in healthy subjects: an investigation of neutrophil chemotaxis mechanisms involving CXCR1 and CXCR2. Int Immunopharmacol. 2012;13:225–231. doi: 10.1016/j.intimp.2012.04.008. [DOI] [PubMed] [Google Scholar]
  8. Kitz R, Rose MA, Borgmann A, Schubert R, Zielen S. Systemic and bronchial inflammation following LPS inhalation in asthmatic and healthy subjects. J Endotoxin Res. 2006;12:367–374. doi: 10.1179/096805106X153934. [DOI] [PubMed] [Google Scholar]
  9. Fouassier M, Souweine B, Sapin AF, Hashemzadeh A, Marques-Verdier A, Caillaud D. Increase in proinflammatory cytokines in peripheral blood without haemostatic changes after LPS inhalation. Thromb Res. 2009;124:584–587. doi: 10.1016/j.thromres.2009.06.014. [DOI] [PubMed] [Google Scholar]
  10. Maris NA, de Vos AF, Dessing MC, Spek CA, Lutter R, Jansen HM, van der Zee JS, Bresser P, van der Poll T. Antiinflammatory effects of salmeterol after inhalation of lipopolysaccharide by healthy volunteers. Am J Respir Crit Care Med. 2005;172:878–884. doi: 10.1164/rccm.200503-451OC. [DOI] [PubMed] [Google Scholar]
  11. Michel O, Dentener M, Cataldo D, Cantinieaux B, Vertongen F, Delvaux C, Murdoch RD. Evaluation of oral corticosteroids and phosphodiesterase-4 inhibitor on the acute inflammation induced by inhaled lipopolysaccharide in human. Pulm Pharmacol Ther. 2007;20:676–683. doi: 10.1016/j.pupt.2006.08.002. [DOI] [PubMed] [Google Scholar]
  12. Franciosi LG, Diamant Z, Banner KH, Zuiker R, Morelli N, Kamerling IM, de Kam ML, Burggraaf J, Cohen AF, Cazzola M, Calzetta L, Singh D, Spina D, Walker MJ, Page CP. Efficacy and safety of RPL554, a dual PDE3 and PDE4 inhibitor, in healthy volunteers and in patients with asthma or chronic obstructive pulmonary disease: findings from four clinical trials. Lancet Respir Med. 2013;1:714–727. doi: 10.1016/S2213-2600(13)70187-5. [DOI] [PubMed] [Google Scholar]
  13. Borrill ZL, Roy K, Vessey RS, Woodcock AA, Singh D. Non-invasive biomarkers and pulmonary function in smokers. Int J Chron Obstruct Pulmon Dis. 2008;3:171–183. doi: 10.2147/copd.s1850. [DOI] [PMC free article] [PubMed] [Google Scholar]
  14. Keatings VM, Collins PD, Scott DM, Barnes PJ. Differences in interleukin-8 and tumor necrosis factor-alpha in induced sputum from patients with chronic obstructive pulmonary disease or asthma. Am J Respir Crit Care Med. 1996;153:530–534. doi: 10.1164/ajrccm.153.2.8564092. [DOI] [PubMed] [Google Scholar]
  15. Aul R, Armstrong J, Duvoix A, Lomas D, Hayes B, Miller BE, Jagger C, Singh D. Inhaled LPS challenges in smokers: a study of pulmonary and systemic effects. Br J Clin Pharmacol. 2012;74:1023–1032. doi: 10.1111/j.1365-2125.2012.04287.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Papi A, Bellettato CM, Braccioni F, Romagnoli M, Casolari P, Caramori G, Fabbri LM, Johnston SL. Infections and airway inflammation in chronic obstructive pulmonary disease severe exacerbations. Am J Respir Crit Care Med. 2006;173:1114–1121. doi: 10.1164/rccm.200506-859OC. [DOI] [PubMed] [Google Scholar]
  17. Lomas DA, Silverman EK, Edwards LD, Miller BE, Coxson HO, Tal-Singer R. Evaluation of serum CC-16 as a biomarker for COPD in the ECLIPSE cohort. Thorax. 2008;63:1058–1063. doi: 10.1136/thx.2008.102574. [DOI] [PubMed] [Google Scholar]
  18. Blomberg A, Mudway I, Svensson M, Hagenbjork-Gustafsson A, Thomasson L, Helleday R, Dumont X, Forsberg B, Nordberg G, Bernard A. Clara cell protein as a biomarker for ozone-induced lung injury in humans. Eur Respir J. 2003;22:883–888. doi: 10.1183/09031936.03.00048203. [DOI] [PubMed] [Google Scholar]
  19. Michel O, Murdoch R, Bernard A. Inhaled LPS induces blood release of Clara cell specific protein (CC16) in human beings. J Allergy Clin Immunol. 2005;115:1143–1147. doi: 10.1016/j.jaci.2005.01.067. [DOI] [PubMed] [Google Scholar]
  20. Pizzichini E, Pizzichini MM, Efthimiadis A, Evans S, Morris MM, Squillace D, Gleich GJ, Dolovich J, Hargreave FE. Indices of airway inflammation in induced sputum: reproducibility and validity of cell and fluid-phase measurements. Am J Respir Crit Care Med. 1996;154(2 Pt 1):308–317. doi: 10.1164/ajrccm.154.2.8756799. [DOI] [PubMed] [Google Scholar]
  21. Woolhouse IS, Bayley DL, Stockley RA. Effect of sputum processing with dithiothreitol on the detection of inflammatory mediators in chronic bronchitis and bronchiectasis. Thorax. 2002;57:667–671. doi: 10.1136/thorax.57.8.667. [DOI] [PMC free article] [PubMed] [Google Scholar]
  22. Nightingale JA, Rogers DF, Hart LA, Kharitonov SA, Chung KF, Barnes PJ. Effect of inhaled endotoxin on induced sputum in normal, atopic, and atopic asthmatic subjects. Thorax. 1998;53:563–571. doi: 10.1136/thx.53.7.563. [DOI] [PMC free article] [PubMed] [Google Scholar]
  23. Rylander R, Bake B, Fischer JJ, Helander IM. Pulmonary function and symptoms after inhalation of endotoxin. Am Rev Respir Dis. 1989;140:981–986. doi: 10.1164/ajrccm/140.4.981. [DOI] [PubMed] [Google Scholar]
  24. de Vos AF, Pater JM, van den Pangaart PS, de Kruif MD, van 't Veer C, van der Poll T. In vivo lipopolysaccharide exposure of human blood leukocytes induces cross-tolerance to multiple TLR ligands. J Immunol. 2009;183:533–542. doi: 10.4049/jimmunol.0802189. [DOI] [PubMed] [Google Scholar]
  25. Sethi S, Maloney J, Grove L, Wrona C, Berenson CS. Airway inflammation and bronchial bacterial colonization in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2006;173:991–998. doi: 10.1164/rccm.200509-1525OC. [DOI] [PMC free article] [PubMed] [Google Scholar]
  26. Hasday JD, Bascom R, Costa JJ, Fitzgerald T, Dubin W. Bacterial endotoxin is an active component of cigarette smoke. Chest. 1999;115:829–835. doi: 10.1378/chest.115.3.829. [DOI] [PubMed] [Google Scholar]
  27. Schmitt C, Humeny A, Becker C-M, Brune K, Pahl A. Polymorphisms of TLR4: rapid genotyping and reduced response to lipopolysaccharide of TLR4 mutant alleles. Clin Chem. 2002;48:1661–1667. [PubMed] [Google Scholar]
  28. Bathoorn E, Liesker JJ, Postma DS, Koeter GH, van der Toorn M, van der Heide S, Ross HA, van Oosterhout AJ, Kerstjens HA. Change in inflammation in out-patient COPD patients from stable phase to a subsequent exacerbation. Int J Chron Obstruct Pulmon Dis. 2009;4:101–109. doi: 10.2147/copd.s4854. [DOI] [PMC free article] [PubMed] [Google Scholar]
  29. Caramori G, Romagnoli M, Casolari P, Bellettato C, Casoni G, Boschetto P, Chung KF, Barnes PJ, Adcock IM, Ciaccia A, Fabbri LM, Papi A. Nuclear localisation of p65 in sputum macrophages but not in sputum neutrophils during COPD exacerbations. Thorax. 2003;58:348–351. doi: 10.1136/thorax.58.4.348. [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Fujimoto K, Yasuo M, Urushibata K, Hanaoka M, Koizumi T, Kubo K. Airway inflammation during stable and acutely exacerbated chronic obstructive pulmonary disease. Eur Respir J. 2005;25:640–646. doi: 10.1183/09031936.05.00047504. [DOI] [PubMed] [Google Scholar]
  31. Purokivi M, Randell J, Hirvonen MR, Tukiainen H. Reproducibility of measurements of exhaled NO, and cell count and cytokine concentrations in induced sputum. Eur Respir J. 2000;16:242–246. doi: 10.1034/j.1399-3003.2000.16b10.x. [DOI] [PubMed] [Google Scholar]
  32. Peleman RA, Rytila PH, Kips JC, Joos GF, Pauwels RA. The cellular composition of induced sputum in chronic obstructive pulmonary disease. Eur Respir J. 1999;13:839–843. doi: 10.1034/j.1399-3003.1999.13d24.x. [DOI] [PubMed] [Google Scholar]
  33. Boorsma M, Lutter R, van de Pol MA, Out TA, Jansen HM, Jonkers RE. Repeatability of inflammatory parameters in induced sputum of COPD patients. COPD. 2007;4:321–329. doi: 10.1080/15412550701597720. [DOI] [PubMed] [Google Scholar]
  34. Jagielo PJ, Thorne PS, Watt JL, Frees KL, Quinn TJ, Schwartz DA. Grain dust and endotoxin inhalation challenges produce similar inflammatory responses in normal subjects. Chest. 1996;110:263–270. doi: 10.1378/chest.110.1.263. [DOI] [PubMed] [Google Scholar]
  35. Traves SL, Culpitt SV, Russell RE, Barnes PJ, Donnelly LE. Increased levels of the chemokines GROalpha and MCP-1 in sputum samples from patients with COPD. Thorax. 2002;57:590–595. doi: 10.1136/thorax.57.7.590. [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Simpson JL, McDonald VM, Baines KJ, Oreo KM, Wang F, Hansbro PM, Gibson PG. Influence of age, past smoking, and disease severity on TLR2, neutrophilic inflammation, and MMP-9 levels in COPD. Mediators Inflamm. 2012;2013:1–13. doi: 10.1155/2013/462934. [DOI] [PMC free article] [PubMed] [Google Scholar]
  37. Sethi S, Wrona C, Eschberger K, Lobbins P, Cai X, Murphy TF. Inflammatory profile of new bacterial strain exacerbations of chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2008;177:491–497. doi: 10.1164/rccm.200708-1234OC. [DOI] [PubMed] [Google Scholar]
  38. Kishimoto T. The biology of interleukin-6. Blood. 1989;74:1–10. [PubMed] [Google Scholar]
  39. Di Stefano A, Caramori G, Gnemmi I, Contoli M, Vicari C, Capelli A, Magno F, D'Anna SE, Zanini A, Brun P, Casolari P, Chung KF, Barnes PJ, Papi A, Adcock I, Balbi B. T helper type 17-related cytokine expression is increased in the bronchial mucosa of stable chronic obstructive pulmonary disease patients. Clin Exp Immunol. 2009;157:316–324. doi: 10.1111/j.1365-2249.2009.03965.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  40. Eustace A, Smyth LJ, Mitchell L, Williamson K, Plumb J, Singh D. Identification of cells expressing interleukin-17A and F in the lungs of COPD patients. Chest. 2011;139:1089–1100. doi: 10.1378/chest.10-0779. [DOI] [PubMed] [Google Scholar]
  41. Vargas-Rojas MI, Ramírez-Venegas A, Limón-Camacho L, Ochoa L, Hernández-Zenteno R, Sansores RH. Increase of Th17 cells in peripheral blood of patients with chronic obstructive pulmonary disease. Respir Med. 2011;105:1648–1654. doi: 10.1016/j.rmed.2011.05.017. [DOI] [PubMed] [Google Scholar]
  42. Brownlie RJ, Zamoyska R. T cell receptor signalling networks: branched, diversified and bounded. Nat Rev Immunol. 2013;13:257–269. doi: 10.1038/nri3403. [DOI] [PubMed] [Google Scholar]
  43. Kulkarni R, Behboudi S, Sharif S. Insights into the role of Toll-like receptors in modulation of T cell responses. Cell Tissue Res. 2011;343:141–152. doi: 10.1007/s00441-010-1017-1. [DOI] [PubMed] [Google Scholar]
  44. King PT, Lim S, Pick A, Ngui J, Prodanovic Z, Downey W, Choong C, Kelman A, Baranyai E, Francis M, Moshinsky R, Bardin PG, Holmes PW, Holdsworth SR. Lung T-cell responses to nontypeable Haemophilus influenzae in patients with chronic obstructive pulmonary disease. J Allergy Clin Immunol. 2013;131:1314–21.e14. doi: 10.1016/j.jaci.2012.09.030. [DOI] [PubMed] [Google Scholar]
  45. Linden A, Laan M, Anderson GP. Neutrophils, interleukin-17A and lung disease. Eur Respir J. 2005;25:159–172. doi: 10.1183/09031936.04.00032904. [DOI] [PubMed] [Google Scholar]
  46. Doe C, Bafadhel M, Siddiqui S, Desai D, Mistry V, Rugman P, McCormick M, Woods J, May R, Sleeman MA, Anderson IK, Brightling CE. Expression of the T helper 17-associated cytokines IL-17A and IL-17F in asthma and COPD. Chest. 2010;138:1140–1147. doi: 10.1378/chest.09-3058. [DOI] [PMC free article] [PubMed] [Google Scholar]
  47. Kelly LotWGMM, Group. Mot W, Keatings V, Leigh R, Peterson C, Shute J, Venge P, Djukanović R. Analysis of fluid-phase mediators. Eur Respir J. 2002;20(37 suppl):24s–39s. [PubMed] [Google Scholar]
  48. Kirsten A, Watz H, Kretschmar G, Pedersen F, Bock D, Meyer-Sabellek W, Magnussen H. Efficacy of the pan-selectin antagonist Bimosiamose on ozone-induced airway inflammation in healthy subjects–a double blind, randomized, placebo-controlled, cross-over clinical trial. Pulm Pharmacol Ther. 2011;24:555–558. doi: 10.1016/j.pupt.2011.04.029. [DOI] [PubMed] [Google Scholar]
  49. Lazaar AL, Sweeney LE, MacDonald AJ, Alexis NE, Chen C, Tal-Singer R. SB-656933, a novel CXCR2 selective antagonist, inhibits ex vivo neutrophil activation and ozone-induced airway inflammation in humans. Br J Clin Pharmacol. 2011;72:282–293. doi: 10.1111/j.1365-2125.2011.03968.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. Holz O, Khalilieh S, Ludwig-Sengpiel A, Watz H, Stryszak P, Soni P, Tsai M, Sadeh J, Magnussen H. SCH527123, a novel CXCR2 antagonist, inhibits ozone-induced neutrophilia in healthy subjects. Eur Respir J. 2010;35:564–570. doi: 10.1183/09031936.00048509. [DOI] [PubMed] [Google Scholar]
  51. Echazarreta AL, Gomez FP, Ribas J, Achaval M, Barbera JA, Roca J, Chung KF, Rodriguez-Roisin R. Effects of inhaled furosemide on platelet-activating factor challenge in mild asthma. Eur Respir J. 1999;14:616–621. doi: 10.1034/j.1399-3003.1999.14c22.x. [DOI] [PubMed] [Google Scholar]
  52. Mallia P, Footitt J, Sotero R, Jepson A, Contoli M, Trujillo-Torralbo MB, Kebadze T, Aniscenko J, Oleszkiewicz G, Gray K, Message SD, Ito K, Barnes PJ, Adcock IM, Papi A, Stanciu LA, Elkin SL, Kon OM, Johnson M, Johnston SL. Rhinovirus infection induces degradation of antimicrobial peptides and secondary bacterial infection in chronic obstructive pulmonary disease. Am J Respir Crit Care Med. 2012;186:1117–1124. doi: 10.1164/rccm.201205-0806OC. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Figure S1 The gating strategy for the quantification of CD4 and CD8 IL-17 from a CD3 positive lymphocyte population basally (A) and 4 h post-LPS inhalation (B) with their corresponding isotype controls

bcp0079-0767-sd1.tif (55.4KB, tif)

Figure S2 Changes in oxygen saturations post-LPS inhalation. All data points represent mean ± SEM

bcp0079-0767-sd2.tif (23.9KB, tif)

Articles from British Journal of Clinical Pharmacology are provided here courtesy of British Pharmacological Society

RESOURCES