Systemic Galectin-3 in Smokers with Chronic Obstructive Pulmonary Disease and Chronic Bronchitis: The Impact of Exacerbations.

PURPOSE: The carbohydrate-binding protein Galectin-3 is increased in several inflammatory diseases and has recently been forwarded as a systemic biomarker in chronic obstructive pulmonary disease (COPD). In this longitudinal study, we characterized the level of systemic Galectin-3 using blood from smokers with a history of COPD and chronic bronchitis (COPD-CB), during stable clinical conditions and exacerbations. PATIENTS AND METHODS: The study population comprised 56 long-term smokers with COPD-CB, 10 long-term smokers without lung disease (LTS) and 10 clinically healthy never-smokers (HNS). Blood samples were analyzed for levels of Galectin-3, leukocyte populations and C-reactive protein (CRP). In addition, sputum samples from the COPD-CB group were analyzed for bacterial growth.
RESULTS: When comparing stable clinical conditions and exacerbations in the COPD-CB group, we found that the level of Galectin-3, just like that of CRP, leukocytes and neutrophils, respectively, was increased during exacerbations. However, this exacerbation-associated increase of Galectin-3 was modest. During stable clinical conditions of COPD-CB, the level of Galectin-3 was not elevated in comparison with HNS or LTS. Nor did this level of Galectin-3 distinguish patients that remained in a clinically stable condition throughout the study to those that developed an exacerbation. In addition, neither during stable clinical conditions nor during exacerbations, did the presence of bacterial growth in sputum alter Galectin-3 levels. In contrast to Galectin-3, the level of CRP, leukocytes and neutrophils, respectively, were increased during clinical stable conditions in the COPD-CB group compared with the other groups and were further enhanced during exacerbations.
CONCLUSION: Systemic Galectin-3 is increased in a reproducible but modest manner during exacerbations in smokers with COPD-CB. During stable clinical conditions, the level of systemic Galectin-3 does not distinguish patients that remain clinically stable from those that develop exacerbations. This makes it less likely that systemic Galectin-3 may become a clinically useful biomarker in the current setting.

Introduction

Chronic obstructive pulmonary disease (COPD) is a burden to public health and a global killer, projected to soon become the third leading cause of disease-related death worldwide.1 According to the Global initiative for Chronic Obstructive Lung Disease (GOLD), COPD is characterized by persistent airflow limitation associated with a chronic inflammatory response that is caused by long-term exposure to noxious gases and/or toxic particles.2 The persistent airflow limitation is primarily caused by bronchiolitis that causes irreversible obstruction but it may be enhanced by parenchymal destruction (emphysema) and excessive mucus production (chronic bronchitis). Many patients with COPD suffer from repeated episodes of severely increased symptoms (exacerbations), characterized by even more pronounced local and systemic inflammation, leading to the transient deterioration of lung function, reduced quality of life, hospitalization, and risk for further disease progression.2 In the Western world, the most common cause of COPD is smoke from tobacco but smoke from other types of biomass may also increase the risk for COPD.3–5

From a clinical point-of-view, it seems critical to prevent exacerbations of COPD, in order to preserve lung function, for the sake of the patient and for the sake of the health economy.3 However, despite substantial research efforts to identify biomarkers in blood that can predict exacerbations,2,6–13 none have so far proven practically useful in the clinical setting for the general assessment of exacerbations in individual patients.

Galectin-3 (Mac-2) is a β-galactoside-binding protein produced by various tissues and cell types in humans,14–16 including monocytes and, even more so, macrophages.17 This is noteworthy given that the number of alveolar macrophages is enhanced in COPD.18,19 Interestingly, Galectin-3 has been implied as a key regulator of innate immunity,20 due to its ability to enhance phagocytosis,21–23 initiate the production of reactive oxygen species24,25 and promote cell adhesion.26,27 With reference to clinical pathology, previous studies have demonstrated enhanced systemic levels of Galectin-3 in patients with various types of cancer28–30 and heart failure,31,32 respectively. In terms of airway disease, one study has demonstrated an increased level of Galectin-3 locally in the airways during stable clinical conditions for very severe COPD and chronic bronchitis (CB), with all investigated patients being former smokers.33 Another study demonstrated that the systemic level of Galectin-3 in the blood is increased during exacerbations in patients with moderate to severe COPD.34 However, the described enhancement of Galectin-3 emerged as modest, possibly due to different confounders like the variation in pharmacotherapy and the exact timing of sampling. Additional confounders were evident as well, since the patients with COPD comprised both never-, ex- and current-smokers and it was unclear whether they suffered from CB.34 The latter might be important since CB is a comorbidity that increases the risk for exacerbations.35

In the present study, we assessed systemic levels of Galectin-3 by sampling blood before and during exacerbations in patients with a confirmed history of COPD and CB (COPD-CB). We compared these systemic levels of Galectin-3 to those in matching samples collected from clinically healthy never-smokers (HNS) and to those in samples from long-term smokers (LTS) with normal lung function/spirometry and without COPD-CB. Notably, we confirmed a consistent status of current smoking among all included LTS and COPD-CB patients, by assessing the nicotine metabolite cotinine. Finally, we related Galectin-3 in the blood to the archetype marker of systemic inflammation in the blood, C-reactive protein (CRP), and to the detection of local bacterial pathogens in airway samples from the COPD-CB patients.

Patients and Methods

Study Population

The study subjects were recruited by advertisement in the newspaper or from the outpatient clinic at the Department of Respiratory Medicine at Sahlgrenska Hospital in Gothenburg, Sweden. The main study group included 56 long-term smokers (>10 pack-years) who were all current smokers (positive for cotinine) with a confirmed COPD diagnosis (Table 1). Among these 56 patients, 53 patients (95%) had a COPD diagnosis in their patient records prior to screening and three received the diagnosis during screening.36,37 For all these patients, the diagnosis of COPD was set by experienced clinicians.2 Thus, all included patients displayed spirometry results with an FEV1/FVC ratio (%) of less than 70% and GOLD-staging was performed based upon FEV1 (% predicted).38 The diagnosis “chronic bronchitis” was set after confirmation that the patient had a productive cough during at least 3 months per year for two subsequent years, in accordance with the classic criteria by Kim et al.39

Table 1

Clinical Characteristics of Study Subjects at Inclusiona

	HNS	LTS	COPD-CB
n	10	10	56
Sex (Male/Female)	3/7	2/8	23/33
Age (years)	68 (47–70)	50 (26–64)*(†,§)	63 (45–76)
Pack-years (range)	0 (0)	28 (13–43)	40 (14–156)
BMI (kg/m2)	25 (20–31)	26 (22–31)	26 (17–34)
FEV1 (% of predicted)	120 (97–137)	106 (83–119)	60 (29–97)*(†,‡)
FEV1/FVC (FEV%)	79 (73–84)	77 (73–84)	55 (28–68)*(†,‡)
DLCO (% of predicted)	98 (75–139)	87 (77–111)	70 (44–110)*(†,‡)
CRP (mg/L)	0.8 (0.2–5.7)	0.7 (0.2–5.8)	1.7 (0.3–15.0)*(†)
Leukocytes (x 109/L)	5.0 (4.0–7.6)	7.5 (4.2–12.5)	7.5 (3.9–14.6)*(†)
Medications (n)b
Untreated	–	–	4
Bronchodilator	–	–	44
Glucocorticoid	–	–	8
Combination	–	–	23
Mucolytics	–	–	18

Notes: Data is given as median (range minimum-maximum value) based on the total n in each group (HNS, n=10; LTS, n=10; COPD-CB, n=56) except for: pack-years, include nine LTS individuals; DLCO, include 54 COPD-CB patients; CRP, include 55 COPD-CB patients.

Statistical analysis: Mann–Whitney U test showed no statistical significant difference in pack-years between LTS and COPD-CB patients (p = 0.057); Kruskal–Wallis test followed by Dunn’s multiple comparison test revealed statistical significant lower age in LTS compared to both HNS (†) and COPD-CB patients (§), statistical significant lower FEV1, FEV1/FVC and DLCO values in the COPD-CB patients compared to both HNS and LTS (‡) and statistical significant higher CRP and leukocytes levels in the COPD-CB patients compared HNS (†). No statistical significant differences were found for BMI. Statistically significant differences are indicated as follows: (*) p-value <0.05. aSome parameters have been described in our previous publications.36,37 bAll medications were administered by inhalation, except mucolytics (N-acetylcysteine, oral intake). Bronchodilator include short- and long-acting anticholinergics and β2-agonists and combination include inhalers with a bronchodilator and a glucocorticoid.

Abbreviations: BMI, body mass index; CRP, C-reactive protein; DLCO, gas diffusion capacity for carbon monoxide; FEV1, forced expiratory volume in one second; FVC, forced vital capacity; HNS, healthy never smokers; LTS, long-term smokers without chronic obstructive pulmonary disease and chronic bronchitis (COPD-CB).

During the inclusion visit, we ascertained that all patients had been without clinical signs of infections during the four most recent weeks prior to inclusion. Other than CB, 43 out of the 56 patients (77%) suffered from comorbidities including osteoporosis, hypertension, diabetes and depression (Table 2), which are common amongst patients with COPD.40 The exclusion criteria in this COPD-CB group were as follows: i) long-term oxygen therapy, ii) regular use of oral glucocorticoids, iii) any additional lung disease other than COPD or CB (eg, pulmonary fibrosis, asbestosis, alpha-1 antitrypsin deficiency or sarcoidosis), iv) allergy, sensitization or asthma or v) other serious diseases (including congestive heart failure and ischemic heart disease, mental illness [apart from depression], malignancies and chronic inflammatory diseases such as rheumatoid arthritis and inflammatory bowel disease).

Table 2

Exacerbation Frequency and Comorbidities

Disease Severitya	Mild	Severe
n	39	17
Exacerbations prior study (n)b
Do not recall	10	3
0	5	3
1–2	19	7
≥ 3	5	4
Exacerbations during study (n)
0	16	6
1	13	6
2	7	2
3	3	3
Comorbidities (n)
None	8	5
Hypertension	8	3
Cardiac diseasec	3	1
Osteoporosis/Osteopenia	7	3
Hypercholesterolemia	8	1
Type 2 diabetes mellitus	3	–
Hypothyroidism	5	–
Sleep apnea	1	–
Depression/anxiety	14	4

Notes: aThe COPD-CB patients were classified according to the Global initiative for Chronic Obstructive Lung Disease (GOLD) criteria as of 201138; mild, COPD-CB corresponding to GOLD stage I and II; severe, COPD-CB corresponding to GOLD stage III and IV. bBased on the year prior study inclusion and estimated by a questionnaire consisting of five domains: number of exacerbations: 0; 1–2; 3; >3 or, do not recall/unsure. cCardiac disease includes atrial flutter, mechanical valve surgery, silent myocardial infarction and sinus tachycardia.

Two control groups were also recruited as follows: ten clinically healthy never-smokers (HNS; negative for cotinine) and ten long-term smokers (LTS) who were all current smokers (positive cotinine) but had normal lung function/spirometry. The latter group had no chronic bronchitis or other lung diseases, as judged from their history. The clinical characteristics of all study subjects/patients are summarized in Table 1. Of note, the original study population has been described in two previous publications, focusing on primary outcomes other than Galectin-3.36,37 Thus, beyond Galectin-3, certain clinical and laboratory data from the included study subjects have previously been utilized in a different scientific context.

Study Protocol

Briefly, before inclusion, all subjects were examined during stable clinical conditions and critically evaluated regarding the results of physical examination, lung function tests (spirometry, gas diffusion capacity), chest X-ray, and sputum, urine and blood samples, as previously described.37 Both blood and sputum samples (study material) were collected from the patients at the time of inclusion and blood samples were thereafter collected every 15th week during the following 60 weeks. If the patient experienced signs of an exacerbation, an extra visit was scheduled for the collection of blood and sputum samples, with the aim to obtain samples prior to any emergency medication was given because of the exacerbation.

Bacteria in Sputum Samples

Fresh sputum samples were collected from the COPD-CB group at the time of inclusion and during exacerbations. To assess whether the sputum samples were representative for the lower airways, all samples were evaluated for cell morphology before utilized for the culture of bacteria as previously described.36,37

Cotinine

Fresh urine samples collected at the time of inclusion were analyzed for cotinine, the major metabolite of nicotine. This analysis was performed using a visual one-step immunoassay for the qualitative detection of cotinine (One-Step Cotinine TestTM #008A086, Ulti Med Products, Ahrensburg, Germany), with a cut-off concentration of 200 ng/mL, according to manufacturer’s instructions.

Galectin-3

Fresh blood samples were processed to obtain serum and were then frozen (−80°C). After thawing, Galectin-3 protein was quantified utilizing a commercial enzyme-linked immunosorbent assay (ELISA) on a microtiter platform with a measurement range of 1.4–94.8 ng/mL (BGM Galectin-3 Assay #12836, BG Medicine, Inc. Waltham, MA, USA), in accordance with the manufacturer’s instructions.

C-Reactive Protein (CRP)

The level of CRP was assessed in serum samples utilizing a particle-enhanced immunoturbidimetric assay in which human CRP agglutinate with latex particles coated with anti-CRP antibodies (Tina-quant C-reactive protein high-sensitive assayTM HS No 1972944001; Hoffmann-La Roche Ltd, Basel, Switzerland) at the Department of Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden, in accordance with the manufacturer’s instructions.

Leukocytes

The level (absolute concentration) of all (total) leukocytes and the respective subpopulation was quantified by hematology analysis (ADVIA 2120i Hematology systemTM; Siemens, Duisburg, Germany) at the Department of Clinical Chemistry, Sahlgrenska University Hospital, Gothenburg, Sweden, in accordance with the manufacturer’s instructions.

Statistical Analysis

Non-parametric statistical analyses were performed in Graph Pad Prism version 8.3.1 (GraphPad Software, San Diego, CA, USA) using a Mann–Whitney U test, Wilcoxon signed-rank test or Kruskal–Wallis test followed by Dunn’s multiple to evaluate differences between groups or Spearman’s rank correlation to evaluate correlations between Galectin-3 and CRP or leukocytes during exacerbations. The specific statistical tests applied are presented in the respective figure legend and table footnotes. A p-value of <0.05 was regarded as statistically significant and the p-value was indicated as follows: *) p<0.05; **) p<0.01; ***) p<0.001 and ****) p<0.0001.

Results

Characteristics of the Study Population

The clinical characteristics of the COPD-CB group and control groups (HNS and LTS) are described in Table 1. The spirometric parameters measured (FEV1, FEV1/FVC and DLCO) were all altered in a statistically significant and typical manner in the COPD-CB group as compared to both control groups. However, the historic tobacco load (number of pack-years) did not markedly differ between the COPD-CB and LTS group. In 52 (93%) of the patients in the COPD-CB group, inhalation (bronchodilators and/or glucocorticoids) and/or orally administered mucolytics were utilized by the patients during stable clinical conditions (Table 1). The patients in the COPD-CB group displayed severity corresponding to GOLD stage I, II, III and IV.38 As assessed by a questionnaire, 43 (77%) of the patients in the COPD-CB group recalled having exacerbations the last year preceding inclusion in the study. Throughout the study, 34 (61%) of the 56 patients in the COPD-CB group suffered from exacerbations (Table 2).

Galectin-3 During Stable Clinical Conditions

During the stable clinical conditions at the time of inclusion, the (median) level of Galectin-3 in serum was similar for the COPD-CB and the HNS and LTS control group, respectively (Figure 1A).

Figure 1

Serum levels of Galectin-3 during stable clinical conditions. (A) The level of Galectin-3 in serum from healthy never smoker (HNS; n=10, light grey dots) as well as from long-term smokers without (LTS; n=10, dark grey dots) and with chronic obstructive pulmonary disease and chronic bronchitis during stable clinical conditions at the time inclusion (COPD-CB inclusion; n=56, white dots). (B) The level of Galectin-3 and (C) the level of CRP in serum from COPD-CB patients at the time of inclusion that either remained in a stable clinical phase (remained stable; n=22 for both Galectin-3 and CRP) or developed an exacerbation (developed EXA; n=34 for Galectin-3, n=33 for CRP) during the course of the study. The data is presented as individual dots and median (bold line). Statistical analysis was performed using (A) a Kruskal–Wallis test followed by Dunn’s multiple comparison test or (B–C) a Mann–Whitney U test.

We also evaluated whether the level of Galectin-3 during stable clinical conditions (at the time of inclusion) predicts an upcoming exacerbation in the COPD-CB group. We did this by comparing the level for the 22 (39%) patients that remained in a clinically stable condition throughout the study, with that of the 34 (61%) that developed an exacerbation during the study. However, we detected no substantial difference in the level of Galectin-3 during stable clinical conditions for these two sub-groups (Figure 1B). In addition, we analyzed if the level of Galectin-3 during stable clinical conditions (at the time of inclusion) correlated with the number of exacerbations in the patients from the COPD-CB group that experienced this condition during the study. However, there was no statistically significant correlation in this respect (Spearman’s Rho = −0.15, 95% confidence interval −0.40–0.13, number of exacerbations are shown in Table 2).

For comparison to Galectin-3, we also determined the level of the acute phase reactant CRP.5,41–43 Here, the level of CRP was increased in the COPD-CB group at the time of inclusion, as compared to the HNS and LTS control group, respectively. However, just like the case for Galectin-3, the level of CRP was not markedly different for the COPD-CB patients with and without exacerbations, respectively (Figure 1C).

Galectin-3 During Exacerbations

Galectin-3 in serum was also quantified in 29 (85%) of the 34 patients in the COPD-CB group that suffered from exacerbations during the 15-month course of the study. For all these 29 patients, blood and sputum samples were collected prior to the administration of emergency medication. By comparing the level of Galectin-3 at the last regular visit prior to the exacerbation (during stable clinical conditions) with that obtained during the exacerbation, a statistically significant increase in the level of Galectin-3 was detected (Figure 2A). Here, the median (range) time from a prior visit to exacerbation was 12.5 (2.7–15.5) weeks. Similar to Galectin-3, CRP displayed an increased level during an exacerbation, as compared to the most recent regular visit prior to the exacerbation (Figure 2B).

Figure 2

Serum levels of Galectin-3 during exacerbations. The levels of (A) Galectin-3 (n=29) and (B) CRP (n=34) were measured in serum within each patient with chronic obstructive pulmonary disease and chronic bronchitis (COPD-CB) during stable clinical conditions at the most recent visit prior to an exacerbation (pre-EXA; white squares) and during the exacerbation (EXA; grey squares). Certain patients suffered from an exacerbation within the first 15 weeks of the 15 months’ course of the study, hence the inclusion sample constitute 11 of the 29 pre-EXA samples in (A) and 14 of the 34 pre-EXA samples in (B). The data is presented as individual dots and median (bold line). Statistical analysis was performed using Wilcoxon signed-rank test. Statistically significant differences are indicated as follows: *p-value <0.05; ***p-value <0.001.

Galectin-3 in Relation to Bacteria in Sputum Samples

We also evaluated whether the level of Galetin-3 in the COPD-CB group was different for the patients with the growth of oropharyngeal flora, common respiratory pathogens or opportunistic pathogens. However, we detected no reproducible difference for these sub-groups, neither during stable clinical conditions (at the time of inclusion) nor during exacerbations (Figure 3A and B).

Figure 3

Serum levels of Galectin-3 in relation to bacterial growth in sputum samples. Sputum samples were obtained from patients with chronic obstructive pulmonary disease and chronic bronchitis (COPD-CB) during (A) stable clinical conditions at the time of inclusion (n=36, white dots) and (B) and during exacerbation (EXA; n=19, grey squares) and the data show the level of Galectin-3 in serum in relation to the type of bacterial growth of oropharyngeal flora (inclusion, n=18, EXA n=7), common respiratory pathogens (inclusion, n=14, EXA n=12), and opportunistic pathogens (inclusion, n=4). The data is presented as individual dots and median (bold line). Statistical analysis was performed using (A), a Kruskal–Wallis test followed by Dunn’s multiple comparison test or (B), a Mann–Whitney U test.

Leukocytes During Exacerbations

We compared the levels (absolute concentration) of total leukocytes, as well as the subpopulations, monocytes and neutrophils, in blood from the COPD-CB group in samples obtained at the most recent visit prior to the exacerbation (during stable clinical conditions) to the one obtained during exacerbations. Here, we detected a statistically significant increase in the level of total leukocytes and neutrophils during exacerbations (Figure 4A and B). For monocytes, there was a trend towards a similar increase (Figure 4C).

Figure 4

Alterations in total white blood cells and neutrophils during exacerbations. The absolute counts (x109/L) of (A) leukocytes, (B) neutrophils and (C) monocytes were analyzed in blood from the same patients with chronic obstructive pulmonary disease and chronic bronchitis (COPD-CB) during stable clinical conditions at the most recent visit prior to an exacerbation (pre-EXA; n=34, white squares) and during the exacerbation (EXA; n=34, grey squares). Certain patients suffered from an exacerbation within the first 15 weeks of the 15 months’ course of the study, hence the inclusion sample constitute 14 of the 34 pre-EXA samples in (A–C). The data is presented as individual dots and median (bold line). Statistical analysis was performed using Wilcoxon signed-rank test. Statistically significant differences are indicated as follows: **p-value <0.01; ***p-value <0.001.

Galectin-3 in Relation to CRP and Leukocytes During Exacerbations

We observed no correlation between the levels of Galectin-3 and CRP during exacerbations, even though the level of both these proteins increased during these events (Figure 5A). We next examined if the increased level of Galectin-3 correlated with the increased level of total leukocytes, neutrophils or monocytes during exacerbations. However, no statistically significant correlation was detected (Figure 5B–D).

Figure 5

Galectin-3 versus CRP, white blood cells, neutrophils and monocytes during exacerbations. Correlations between the level of (A) CRP (measured in serum), and absolute counts of (B) leukocytes, (C) neutrophils and (D) monocytes (measured in blood) and the level of Galectin-3 (measured in serum) from patients with chronic obstructive pulmonary disease and chronic bronchitis (COPD-CB) during exacerbations (n=29). Statistical analysis was performed using Spearman’s rank correlation (the rho- and p-values are shown in each figure).

Discussion

In this longitudinal study, we characterized the level of Galectin-3 protein in serum samples from well-characterized patients with a history of COPD and CB and a confirmed status of current as well as historic smoking. Our results disclose that there is a reproducible but modest increase in the systemic levels of Galectin-3 during exacerbations. By optimizing the timing of sample collection during exacerbations, we avoided the confounding influence of emergency medication. Moreover, we investigated smokers with COPD-CB, being prone to exacerbations,35 and we ascertained that all of these patients were current smokers. In contrast, in the preceding study on systemic Galectin-3 by Feng et al patients with COPD were investigated without information about CB, with inconsistent smoking status and uncertainties regarding sampling in relation to emergency medication.34 However, despite these differences in design, the study by Feng et al and our study show results along the same line, making it likely that systemic Galectin-3 is not very sensitive to common therapy against exacerbations.

We found that the average level of Galectin-3 in serum from the group of COPD-CB patients was indeed quite similar to the level in the HNS and LTS control group during stable clinical conditions. Indeed, our findings are corroborated by those in a previous study on plasma levels of Galectin-3 in patients with severe COPD without a diagnosis of CB, and inconsistent smoking status, in comparison with healthy controls.44 Interestingly, a study on the local level of Galectin-3, assessed in bronchoalveolar lavage fluid, suggests a decrease in COPD patients compared to healthy controls during clinical stable conditions, suggesting a compartmental difference for systemic and local Galectin-3.45 Moreover, our current observations were made despite the detection of bacterial pathogens in certain patients with COPD and CB; the presence of bacteria was not associated with increased Galectin-3 neither during exacerbations nor during stable clinical conditions. Tentatively, it seems as if local bacteria in the airways do not markedly alter systemic levels of Galectin-3 in smokers with COPD and CB.

We included measurements of CRP in serum as a reference biomarker in the current study, since this protein is regarded as a “golden standard” to assess systemic inflammation in patients with COPD.3,46 We found that CRP was clearly and reproducibly increased during exacerbations but this increase was modest; thereby confirming previous studies and suggesting a limited practical utility of CRP as a general biomarker for the exacerbation per se in the individual patient. In this respect, the scope of our current study is very different from that of the study from Butler et al, who examined and proved the utility of CRP as a tool for rational prescription of antibiotics to COPD patients with exacerbations.13 Because of the exacerbation-related association of CRP and Galectin-3 that we observed, we investigated whether these two outcomes correlated but they did not. Possibly, this relates to that CRP and Galectin-3 have different cellular origins and release mechanisms. Along these lines, even though CRP may be synthesized by several cell types, the main bulk of CRP is produced by hepatocytes,47 whereas the main expression of Galectin-3 relates to myeloid cells.15,48 Such differences may explain why CRP displayed a consistent increase in smokers with COPD and CB even during stable clinical conditions37 whereas Galectin-3 in the same group was similar to that in LTS and HNS.

We compared the level of Galectin-3 in serum during stable clinical conditions in patients with COPD and CB who developed exacerbations with those who did not. Notably, this comparison did not indicate any clear difference and the level of Galectin-3 in serum during stable clinical conditions did not correlate with the number of exacerbations. Thus, although the sample size was moderate and there is a certain risk for type II error, it is fair to state that our study failed to generate evidence in favor of Galectin-3 possessing potential as a predictive biomarker for future exacerbations.

The included patients with COPD and CB had a record of historic exacerbations and displayed characteristic signs of systemic inflammation during exacerbations, beyond the enhanced CRP level. These signs included enhanced total levels of leukocytes including neutrophils, as previously reported.37 Moreover, the included patients had a substantial tobacco load and the severity of COPD ranged from stage I to IV as defined by GOLD in 2011.38 Our current study material was larger than that investigated by Feng et al and, just like these authors, we excluded patients treated with oral or intravenous glucocorticoids, to avoid iatrogenic impact on immunological outcomes. Given these facts, we think that our study material is at least as relevant and representative as that studied by Feng et al.34

With reference to comorbidities other than chronic bronchitis, hypertension, osteoporosis, diabetes, hypothyroidism, sleep apnea, depression and anxiety, we interviewed the study subjects, checked their medical records, performed chest X-ray and tested lung function to exclude lung disease other than COPD-CB. With this approach, we also excluded severe congestive heart failure, ischemic heart disease, chronic inflammatory disease and malignancies. In a similar manner, Feng et al interviewed the study subjects, checked their medical records, performed chest X-ray and tested lung function to exclude lung disease other than COPD-CB as well as ischemic heart disease, diabetes, autoimmune disease, chronic kidney disease and malignancies.34 Thus, in terms of the potentially confounding influence of comorbidities, this influence is likely to be modest in our study and in that by Feng et al.34

The actual levels (concentrations) of Galectin-3 protein detected in our current study cannot strictly be compared with those reported by Feng et al.34 This is because the referred authors utilized an ELISA to quantify Galectin-3 that was different from the one we utilized. However, it is interesting to note that the average increase during exacerbations was of a similar magnitude in both studies (~10% of the level during stable clinical conditions). Notably, the ELISA that we utilized has previously been used to quantify the level of Galectin-3 in a population of healthy humans encompassing more than one thousand subjects.49,50 The median level was then 10.9 ng/mL (interquartile range [IQR] 9.0–13.1 ng/mL)50 whereas it was 13.5 ng/mL (IQR 10.9–15.7 ng/mL) during stable clinical conditions in our current study. In other words, the levels of Galectin-3 in the COPD-CB patients that we investigated are quite similar to those previously detected in healthy subjects, presumably because patients with severe comorbidities were excluded.49,50

Conclusions

Our longitudinal study on long-term smokers with a history of COPD and CB demonstrates a reproducible increase in the level of Galectin-3 in serum during exacerbations. However, the modest magnitude of this increase makes it less likely that systemic Galectin-3 will be clinically useful as a biomarker for exacerbations in this setting. Moreover, our study failed to provide evidence that Galectin-3 in serum distinguishes the patients who are prone to exacerbations from those who are not. Furthermore, our study indicates that the level of Galectin-3 in serum during stable clinical conditions is quite similar to that in LTS or HNS, suggesting that systemic Galectin-3 is not pathogenically involved under these conditions in patients with COPD-CB. Although these results argue against Galectin-3 as a useful biomarker in these patients, the potential clinical utility of targeting systemic Galectin-3 for detecting cardiovascular comorbidities remains to be addressed in this setting.