Eicosanoids and Eosinophilic Inflammation of Airways in Stable COPD.

PURPOSE: Lipid mediators, particularly eicosanoids, are associated with airway inflammation, especially with the eosinophilic influx. This study aimed to measure lipid mediators and cells in induced sputum, that could possibly reflect the inflammatory process in the bronchial tree of COPD subjects. PATIENTS AND METHODS: Eighty patients diagnosed with COPD and 37 healthy controls participated in the study. Induced sputum samples were ascertained for differential cell count and induced sputum supernatant concentrations of selected eicosanoids by the means of gas chromatography/mass spectrometry and high-performance liquid chromatography/tandem mass spectrometry.
RESULTS: Increased sputum eosinophilia was associated with higher concentrations of selected proinflammatory eicosanoids. In COPD subjects prostaglandin D2 and 11-dehydro-thromboxane B2 correlated negatively with airway obstruction measured by FEV1 and FEV1/FVC values. COPD subjects with disease exacerbations during past 12 months had significantly higher concentrations of prostaglandin D2, 12-oxo-eicosatetraenoic acid and 5-oxo-eicosatetraenoic acid.
CONCLUSION: Stable COPD is often associated with eosinophil influx in the lower airways and elevated concentrations of eicosanoids that is reflected by some disease characteristics.

Introduction

As stated in the definition proposed by The Global Initiative for Obstructive Lung Disease (GOLD), chronic obstructive pulmonary disease (COPD) is characterized by a progressive airflow limitation triggered by the response in the airways and lung to noxious particles or fumes. Airway inflammation is one of the processes that drives airway limitation.1

Eosinophilic airway inflammation which is most commonly thought to play a vital role in asthma has also been described in patients with COPD. It has been demonstrated in up to 40% of stable COPD patients.2,3 Moreover, approximately 20% disease exacerbations are thought to be associated with eosinophil influx in the airways.4,5 Two previous studies: Genetic Epidemiology of COPD (COPDGene) study and the Evaluation of COPD Longitudinally to Identify Predictive Surrogate Endpoints (ECLIPSE) study, proved that the blood eosinophil count of 300 cells/µL or greater was associated with increased exacerbation risk.6,7

Both innate and adaptive immune response can start eosinophilic inflammation. Epithelium cells damaged by exposure to air pollution, irritants, microbes and allergens release cytokines: interleukin 33 (IL-33), IL-25 and thymic stromal lymphopoietin.8–10 In case of allergic triggers, dendritic cells stimulate naive T lymphocytes to differentiate to type 2 T helper cells (Th2) producing IL-4, IL-5 and IL-13, while non-allergen triggers initiate innate immune response via stimulation of type 2 innate lymphoid cells (ILC-2), which also leads to the production of Th2 type cytokines (IL-5 and IL-13).8,11 Eosinophils release mediators like eosinophilic cationic protein and eosinophil peroxidase that cause damage to bronchial epithelium and cytokines which sustain inflammation.

5-Lipoxygenase (5-LO) is the key enzyme in leukotriene synthesis transforming arachidonic acid (AA) into 5-hydroperoxyeicosatetraenoic acid (5-HpETE), a precursor of leukotriene A4 (LTA4). This intermediate can generate bioactive eicosanoids by hydrolysis into LTB4 or by conjugation with glutathione into LTC4. Next steps of extracellular metabolism produce LTD4 and LTE4. Cysteinyl leukotrienes (cys-LTs) are mediators of allergic inflammation potently contracting smooth muscles, causing vascular leak and mucus production, released mainly from eosinophils and mast cells.12 The intermediate product of 5-LO activity 55-HpETE is reduced and peroxidated to 5-hydroxyeicosatetraenoic acid (5-HETE). The activity of 12 and 15-LO leads to the generation of 12 and 15-HETE. HETEs play an important role in physiological functions such as regulating inflammation.13 Cyclooxygenase (COX) activity is at the beginning of the pathway leading to prostanoid generation, transforming AA into prostaglandins (PG) PGG2 and PGH2. Specific synthases convert cyclic endoperoxides of AA to prostaglandins: PGE2, PGD2, PGF2a, and prostanoids: thromboxane A2 (TXA2) and prostacyclin. Due to their short half-life, they act through auto and paracrine signaling and their biological effect is determined by density and type of receptors. Both PGD2 and PGF2a are potent bronchoconstrictors, while PGE2, via EP2 and EP4 receptors, is involved in bronchodilation, antifibrotic and anti-inflammatory effect.12,14 In asthma, overproduction of cys-LTs and PGD2 was linked with aspirin hypersensitivity but also with disease severity.15,16 Increased LTE4 to PGE2 ratio correlated with worse clinical course of aspirin exacerbated respiratory disease.

Induced sputum (IS) is obtained by simple noninvasive procedure and has been validated for studies on inflammatory cells and mediators in the assessment of respiratory diseases.17 High-performance liquid or gas chromatography/mass spectrometry is a highly sensitive and specific method of quantification of eicosanoids in biological samples. We assumed that the lipid mediators and cells measured in the induced sputum would reflect the inflammation process in the bronchial tree that determines clinical characteristics of COPD patients. To address this goal, we analyzed a group of 80 COPD patients and 37 healthy individuals who underwent sputum induction.

Patients and Methods

Studied Subjects

In total, 80 patients diagnosed with COPD and 37 sex and age-matched healthy controls were enrolled to the study. Patients remained without any COPD exacerbation or respiratory tract infections during the 6 weeks preceding the study and received medications as currently prescribed. Clinical characteristics of study subjects is presented in Table 1.

Table 1

Clinical Characteristics of the COPD Cohort

Variables	COPD (n=76)	HC (n=37)	P
Male/female subjects, n (%)	54 (71)/22 (29)	23 (62)/14 (38)	NS
BMI, mean (min–max)	28.7 (17.7–45.8)	23.4 (19,3–31,5)	0.007
Age (y), mean±SD	66.8±8.3	62.5±11.7	NS
Age at COPD diagnosis (years), mean±SD	56.2±11.7	–
Post-bronchodilator FEV1% of predicted value, mean (min–max)	61 (29–124)	94 (75–115)	<0.001
Smoking status: current/ex/passive-smoker (%)	19 (25)/52 (68)/5 (7)	4 (10.8)/0/0	<0.001
Pack years, median (25th–75th pc)	30 (15–48)	–
CAT, median (25th–75th pc)	18 (11–24)	–
mMRC, median (25th–75th pc)	2 (1–3)	–
No. of exacerbations per year, median (min–max)	1 (0–12)	–
GOLD categories A/B/C/D (%)	11 (14)/40 (53)/5 (7)/20 (26)	–
ACO diagnosis, n (%)	17 (22%)	–
Blood eosinophil count, cells/µL, median (25th–75th pc)	297.6 (130–380)	140 (100–210)	0.01
Sputum eosinophilia,%, median (25th–75th pc)	1.25 (0.3–5.5)	0.27 (0–0.57)	<0.001
Sputum cell pattern, no. (%)			<0.001
Eosinophilic	21 (28)	2 (5)	0.005
Neutrohilic	25 (33)	7/19	NS
Mixed	6 (8)	1 (3)	NS
Paucigranulocytic	24 (32)	27 (73)	<0.001
Treatment of COPD, n (%)
ICS	37 (49)	–
LAMA	70 (92)	–
LABA	58 (76)	–

Abbreviations: NS, not significant; BMI, body mass index; FEV1, forced expiratory volume in 1 second; FVC, forced vital capacity; CAT, COPD Assessment Test; mMRC, modified Medical Research Council, ACO, asthma-COPD overlap, LAMA, long-acting muscarinic antagonists; LABA, long-acting beta agonists; ICS, inhaled corticosteroids.

Data Collection

A structured questionnaire was used to collect data including demography, smoking status, symptoms, number of COPD exacerbations and pharmacological treatment. COPD patients were classified into one of four GOLD 2019 categories, based on history of COPD exacerbations and intensity of respiratory symptoms using the modified Medical Research Council (mMRC) dyspnea scale and the COPD Assessment Test (CAT).1 Pre- and post-bronchodilator spirometry was performed using a flow-integrating computerized pneumotachograph (Pneumoscreen, Jaeger, Germany). Basic laboratory tests included peripheral blood eosinophils count.

Induced Sputum

All subjects underwent sputum induction. In COPD patients incapable to complete this procedure due to poor lung function spontaneous sputum samples were obtained. Induced sputum samples were investigated for sputum differential cell count and induced sputum supernatant concentrations of selected eicosanoids.

Sputum induction was performed by inhalation of hypertonic saline solution at concentrations increasing from 3% to 5%, using ultrasonic nebulizer (Ultraneb 2000; DeVilibiss, Somerset, PA, USA). Expectorated onto an ice-cooled Petri dish, sputum was transferred to the laboratory. After manual separation from saliva, mucus plugs were processed to obtain cytospin slides for differential cell count and supernatant for eicosanoid measurements. In short words, mucus plugs were incubated with Sputolysin reagent (EMD Millipore Merck, Darmstadt, Germany) at 1:4 weight/volume dilution for 1 hour at 37°C. The solubilized material was diluted 1:1 vol/vol in the phosphate-buffered saline (PBS), filtered through the filter (48 lm mesh), and separated by centrifugation at 700 g for 10 minutes. Cell counts were ascertained using May-Grunwald-stained cytospin preparations, while supernatant was aliquoted and stored in −70°C until analysis. Due to poor quality of sputum specimens collected from four COPD subjects, they were excluded from further analysis.

Differential count of sputum cells allowed for classification into the following inflammatory patterns: eosinophilic – defined as induced sputum eosinophilia ≥3%; neutrophilic – that is induced sputum neutrophilia ≥50%, mixed cellular with sputum eosinophilia ≥3% and neutrophilia ≥50%; and paucigranulocytic – when no predominant inflammatory cells were present.17,18

Sputum supernatant concentrations of eicosanoids were measured by the means of gas chromatography/mass spectrometry (GC-MS) for PGE2, PGD2, 8-iso-PGE2 and 8-iso-PGF2a and by high-performance liquid chromatography/tandem mass spectrometry (HPLC-MS/MS) for 5-HETE, 12-HETE, 15-HETE, 5-oxo-ETE, 12-oxo-ETE, 15-oxo-ETE, LTD4, LTE4, LTB4, PGA2, tetranor-PGE-M, tetranor-PGD-M and 11-dehydro-TXB2 as previously described.19 Briefly, organic-phase extraction was performed on samples acidified to pH 3.5 with acetic acid and spiked with chemically identical deuterated internal standards (500 pg each; Cayman Chemical Co., Ann Arbor, MI, USA). Concentrations of eicosanoids were calculated using a stable isotope dilution method from the area under the peak. Limits of quantification for eicosanoid measurements are presented in Table 2.

Statistical Analysis

Summary statistics were presented as the mean, standard deviation, median, 25th and 75th percentiles, and number in each category with the percentage of total. Normality was checked using the Shapiro–Wilk W-test. The nonparametric U-Mann–Whitney test was applied to analyze the differences between groups in quantitative data. Categorical data was analyzed using the x2 and Fisher exact tests. A P-value<0.05 was considered statistically significant. All the statistical analyses were performed with the use of Dell Statistica (v.13) and GraphPad Prism (v.8).

Results

Clinical Characteristics of the COPD Cohort

Mean age of COPD subjects was 66.8±8.3 years and mean age of COPD diagnosis was 56.2±11.7 years. Patients were predominantly males (71%) and ex-smokers (68%) with a median smoking burden of 30 pack years. COPD severity as described by GOLD categories was: 11 (14%) subjects A, 40 (53)% as B, five (7%) as C, and 20 (26%) as category D. Forty-two (56%) subjects presented disease exacerbations in the past 12 months, while 18 (23.7%) had severe exacerbations requiring hospitalization. Severe or very severe airway obstruction (FEV1<50% pred.) was observed in 21 (28%) subjects. Asthma-COPD overlap (ACO) was diagnosed in 17 (22%) patients. In almost half of the patients (49%), COPD treatment included inhaled corticosteroids. Clinical characteristics for the COPD cohort are presented in Table 1.

Induced Sputum Cells and Eicosanoids

In COPD subjects, increased sputum eosinophilia was found in 27 (35%) subjects, while among healthy controls in three (8%) subjects. Median blood eosinophilia was higher in COPD compared to healthy control subjects. More detailed characteristics of inflammatory patterns can be found in Table 1.

Induced sputum eosinophilia was strongly positively correlated with blood eosinophilia (ρ=0.84; P<0.001). There was a significant positive correlation between sputum eosinophilia and induced sputum concentrations of LTE4 (ρ=0.47; P<0.001), LTD4 (ρ=0.29; P=0.002), PGE2 (ρ=0.26; P=0.004) 8-iso-PGE2 (ρ=0.41; P<0.001), 5-HETE (ρ=0.34; P<0.001), 5-oxo-ETE (ρ=0.2; P=0.01), PGD2 (ρ=0.36; P<0.001), and 11-dehydro-TBX2 (ρ=0.24; P=0.01), while for prostaglandin metabolites tetranor-PGE-M and tetranor-PGD-M, the correlation was negative (ρ=−0.28; P=0.003 and ρ =−0.37; P<0.001, respectively).

Induced sputum concentrations of LTE4, LTD4, PGD2, PGE2, 8-iso-PGE2, 8-iso-PGF2a, 5-oxo-ETE, 12-oxo-ETE, and 11-dehydro-TBX2 were significantly higher in COPD subjects compared to healthy controls whereas concentrations of tetranor-PGE-M and tetranor-PGD-M were lower (Table 2). Figure 1 presents differences in concentrations of selected eicosanoids between healthy controls, COPD subjects without and with sputum eosinophilia.

Table 2

Concentrations of Eicosanoids in Induced Sputum in COPD and Healthy Controls

Metabolite [pg/mL]Median (IQR)MethodLLOQ	COPD (n=76)	HC (n=37)	P
LTE4HPLC-MS/MS3.22	49.4 (20.5–102.2)	6.3 (3.2–10.5)	<0.001
LTD4HPLC-MS/MS2.85	18.9 (6.7–56.1)	8.2 (3.1–16.9)	0.003
LTB4HPLC-MS/MS2.96	300.1 (81–896.3)	348.5 (117.2–1269)	NS
PGE2GC-MS1.62	92 (33.8–252.9)	46.2 (34–64.8)	0.002
Tetranor-PGE-MHPLC-MS/MS1.45	4.4 (3.2–6.1)	31.4 (27–34.3)	<0.001
PGA2HPLC-MS/MS12	13.8 (7.9–23)	14.4 (9.4–17.7)	NS
PGD2GC-MS2.09	37.9 (19.3–77.2)	19.4 (10.3–33)	<0.001
Tetranor-PGD-MHPLC-MS/MS1.55	1.8 (1.3–2.5)	6.2 (10.3–33)	<0.001
8-izo-PGE2GC-MS1.65	18.5 (11.9–36.9)	9.6 (6.1–13.7)	<0.001
8-izo-PGF2aGC-MS0.63	17.8 (6.6–50)	9.4 (5.5–15)	0.006
5-HETEHPLC-MS/MS0.82	493.6 (150.6–1039.7)	245.6 (42.2–1127.5)	NS
5-oxo-ETEHPLC-MS/MS5.3	198.3 (138.4–279.7)	114.1 (62.1–252.4)	0.006
12-HETEHPLC-MS/MS0.63	1241.8 (690–2240)	1652.2 (995.3–2.744.7)	NS
12-oxo-ETEHPLC-MS/MS10	212.9 (90.7–511.9)	61.6 (34.1–86.9)	<0.001
15-HETEHPLC-MS/MS2.16	481.7 (690–2240.8)	495.6 (155.2–922.7)	NS
15-oxo-ETEHPLC-MS/MS5	126.1 (30.5–323.7)	215 (56.2–330.8)	NS
11-dehydro-TBX2HPLC-MS/MS1.84	26.7 (14–48.6)	19.3 (15–23.3)	0.043

Abbreviations: NS, not significant; COPD, chronic obstructive pulmonary disease; HC, healthy controls; GC-MS, gas chromatography/mass spectrometry; HPLC-MS/MS, high-performance liquid chromatography/tandem mass spectrometry; LLOQ, lowest limit of quantification; LTE4, leukotriene E4; LTD4, leukotriene D4; LTB4, leukotriene B4; PGE2, prostaglandin E2; PGD2, prostaglandin D2; PGA2, prostaglandin A2; tetranor-PGE-M, tetranor-prostaglandin E metabolite; tetranor-PGD-M, tetranor-prostaglandin D metabolite; 8-iso-PGE2, 8-iso-prostaglandin E2; 8-iso-PGF2a, 8-iso-prostaglandin F2a, 5-HETE, 5-hydroxyeicosatetraenoic acid; 5-oxo-ETE, 5-oxo-eicosatetraenoic acid; 12-HETE, 12-hydroxyeicosatetraenoic acid; 12-oxo-ETE, 12-oxo-eicosatetraenoic acid; 15-HETE, 15-hydroxyeicosatetraenoic acid; 15-oxo-ETE, 15-oxo-eicosatetraenoic acid; 11-dehydro-TBX2, 11-dehydro-thromboxane B2.

Figure 1

Heat map presenting concentrations of selected eicosanoids.

Induced Sputum Inflammatory Markers and COPD Course

Among induced sputum eicosanoids in COPD subjects, PGD2 and 11-dehydro-TBX2 correlated negatively with airway obstruction measured by FEV1 (ρ=−0.25; P=0.04 and ρ=−0.3; P=0.015, respectively) and FEV1/FVC (ρ=−0.28; P=0.028 and ρ=−0.33; P=0.006) values. COPD subjects that experienced any disease exacerbations during the past 12 months had significantly lower FEV1 (mean 58.1±27 vs 75.5+23.5, P=0.02) values, higher blood and sputum eosinophilia, yet statistical significance was reached only for blood eosinophilia (median=310, IQR=170–410 cells/µL vs no exacerbations: median=185, IQR=110–300, P=0.02). In this group, significantly higher concentrations of PGD2 (median=51, IQR=25.9–120 pg/mL vs median=25.2, IQR=19.1–55.8, P=0.025) and 12-oxo-ETE (median=320.9, IQR=126.1–557.1 pg/mL vs median=117.1, IQR=78.7–238.7, P=0.022) and 5-oxo-ETE (median=160.8 IQR=51–361 pg/mL vs median=75.8, IQR=20.2–163.1, P=0.042) were observed (see ). Figure 2 presents correlations between PGD2 in induced sputum and both FEV1 and sputum eosinophilia. When ACO subjects were compared to the rest of the COPD cohort no differences in eicosanoid profile were observed (see ). ACO subjects had significantly higher blood (310 cells/µL median, 220–460 cells/µL IQR vs 210 cells/µL median, 110–370 cells/µL IQR, P=0.039) but not sputum eosinophilia. No differences in induced sputum eicosanoids nor eosinophilia were observed when COPD subjects treated with ICS were compared with subjects receiving only bronchodilators.

Figure 2

Correlations between PGD2 and sputum eosinophilia (A) and post-bronchodilator FEV1 (B).

Discussion

In this study, we investigated concentrations of selected eicosanoids in bronchial secretions and inflammatory cell patterns of COPD patients. A highly sensitive and specific high-performance liquid or gas chromatography/mass spectrometry method of quantification of eicosanoids was used.19

The eosinophil count and percentage vary among different respiratory compartments, with sputum eosinophilia usually defined as 3% or more eosinophils of all non-epithelial sputum cells.20,21 Eosinophilic airway inflammation, perceived as a typical feature of asthma, has also been found in COPD patients. Frequency of eosinophilic pattern in COPD in our sample was comparable to other studies reporting numbers from 32–40%.2,3,22–25 Median sputum eosinophila was comparable with a study analyzing pure COPD patients by Zahraei et al,26 while blood eosinophilia was higher, possibly due to the fact that our study included ACO. In our COPD cohort sputum eosinophilia correlated positively with blood eosinophilia. This observation is well documented in several studies on asthma.18,27,28 In COPD, on the other hand, the existing data on that correlation are unclear. In studies that included patients with pure COPD, the presence and strength of correlation seem to be dependent on the severity of the disease. In stable mild-to-moderate COPD, no such correlation was observed, while in moderate-to-severe disease a weak correlation was found, and peripheral eosinophils could not predict sputum eosinophilia.24,27,29,30 Despite these rather poor correlations in stable COPD, blood eosinophil counts have been proposed as a marker to guide ICS treatment.1 The eosinophilic pattern in COPD patients results either from co-existing asthma or poorly understood mechanisms that may lead to airway eosinophilia in COPD patients without any asthmatic features. It is thought either Th2 cells or ILC2 produce cytokines that promote recruitment and activation of eosinophils and lead to tissue eosinophilia.30 Studies in asthmatics have shown that cys-LTs and PGD2 released by mast cells recruit and activate the ILC2 cells.31 By measurement of ISS, we confirmed that eosinophilic inflammation in COPD patients was associated with overproduction of cys-LTs: LTD4 and LTE4, lipoxygenation products HETEs: 5-HETE and 5-oxo-ETE and prostanoids: PGD2, PGE2, 8-izo-PGE2, 11-dehydro-TBX2 in the bronchial compartment. A study by Sanak et al32 has proved that asthmatics compared to healthy controls present increased concentrations of 5-HETE, 12-HETE, and 15-HETE, LTC4, LTD4, and LTE4, metabolites of PGD2, PGE2, PGF2a, 8-iso-PGF2a, and 11-dehydro-TXB2 in exhaled breath condensate (EBC). Imbalance between pro- and anti-inflammatory compounds is important in the pathogenesis of airway inflammation in asthma. Decreased synthesis of lipoxines and PGE2 accompanied by overproduction of proinflammatory cys-LTs and PGD2 was linked with nonsteroidal antiinflammatory drug exacerbated respiratory disease and disease severity.32–36 Studies investigating eicosanoids in induced sputum have shown increased concentrations of cys-LTs and PGD2 to result from eosinophil influx of the bronchial tree.15,18 Concentrations of tetranor-PGE-M and tetranor-PGD-M in ISS were lower along with higher concentrations of initial compounds PGE2 and PGD2 in COPD compared to healthy controls. Higher PGE2 with lower metabolite concentrations in ISS were previously observed in a subtype of severe asthma with impaired lung function characterized by neutrophil and mixed cellular patterns in a study by Mastalerz et al. A possible explanation for that may lay in the altered metabolism of prostaglandins or imbalance between different PGE2 receptor types.

There are conflicting data on the potential differences in clinical characteristics of COPD patients with eosinophilic and non-eosinophilic airway inflammation. In some studies, there were no differences in the severity of airway obstruction between eosinophilic and non-eosinophilic patients, while other authors reported higher post-bronchodilator FEV1 in non-eosinophilic patients.23,24,29,37 In our study there was no relationship between blood or sputum eosinophilia and basal lung function measured by FEV1. Similar findings concerning airway and blood eosinophilia support the hypothesis that there might be some dissociation between the lung function in terms and eosinophils in COPD.24,38 Yet in our sample eicosanoids PGD2 and 11-dehydro-TBX2 correlated negatively with airway obstruction measured by FEV1. The negative correlation between eicosanoid metabolites HETEs and HpETEs measured in serum and FEV1/FVC ratio was observed by Cai et al.39 Prospective studies have shown that COPD patients with increased baseline blood eosinophil levels (≥300 cells/µL) were at a greater risk of disease exacerbations.7,40 COPD subjects in our study that experienced any disease exacerbations during the past 12 months had significantly higher blood eosinophilia and concentrations of PGD2, 12-oxo-ETE and 5-oxo-ETE measured in ISS. The percentage of our patients who experienced COPD exacerbation seems to be relatively high compared to the rates observed in published studies.41,42 A possible explanation might be the fact that our study subjects were recruited in an academic center where patients with more severe clinical course of COPD are referred. Moreover, in some cases, patients were referred to our center after an exacerbation requiring hospitalization in the previous year.

Numerous studies have investigated eosinophilic airway inflammation in COPD as a promising target for inhaled corticosteroid (ICS) therapy. It has been demonstrated that in patients with COPD, ICS titration to normalize sputum eosinophil count resulted in a reduction of a severe exacerbation rate.4 In our sample we did not document any differences in eicosanoid concentrations or sputum eosinophilia between patients treated and not treated with ICS. None of the study subjects had an ICS dose titrated based on sputum eosinophilia. Studies on asthma patients have shown no correlation between glucocorticosteroid treatment and eicosanoids in EBC.32 Also high concentrations of proinflammatory eicosanoids in ISS were observed in eosinophilic asthma subjects treated with high glucocorticosteroid regimens.15

A study by Cai et al39 that investigated serum eicosanoids has shown that certain HETEs differed between ACO and pure COPD. In our study, no differences in eicosanoid profile in bronchial compartment were observed. ACO subjects had significantly higher blood but not sputum eosinophilia compared to other COPD subjects. There are many reports in the literature where, compared to COPD patients, ACO patients are characterized not only by higher eosinophilia in peripheral blood but also in sputum.43–46 In this study we used the diagnostic criteria presented in the GOLD and GINA reports, in which ACO is defined as persistent airflow limitation with several features usually associated with asthma and several usually associated with COPD.1,47 However, many other criteria (Soler-Cataluna or Rhee criteria) include sputum eosinophilia as one of the ACO diagnostic criteria.48,49 Therefore, it is not surprising that many publications have shown higher sputum eosinophilia in ACO subjects compared to COPD patients.

We are aware of the limitations of our study. The study sample is limited and some analyses, e.g., comparison between GOLD A-D groups, could not be performed. In some patients, due to poor lung function, a spontaneous sputum sample was taken. What is more, a large number of patients with severe COPD were included in this study, as it was performed in a tertiary center which could possibly bias the results. It might be questioned if a measurement of local production of eicosanoids fully reflects the complexity of inflammation and its relationship with clinical course of COPD. It also is known that inflammatory patterns of influx cells in the airways may change over time.

Conclusion

This study provides information on patterns of inflammatory cells and profiles of eicosanoids measured in induced sputum in stable COPD compared to healthy controls. Stable COPD is often associated with eosinophil influx in the lower airways and elevated concentrations of eicosanoids that are reflected by some disease characteristics.