The association of elevated circulating endocan levels with lung function decline in COPD patients.

BACKGROUND: Endocan is thought to be a novel inflammatory marker that is associated with a variety of inflammatory diseases. However, its role in the pathogenesis of COPD remains unclear. This study aims to explore the potential role of endocan in COPD.
METHODS: In total, 27 healthy volunteers, 55 COPD patients and 36 acute exacerbation of chronic obstructive pulmonary disease (AECOPD) patients were included in the study. Basic demographic characteristics, clinical features and blood samples were collected. Magnetic luminex screening assays were used to detect the concentration of endocan, Fas and Fas ligand (Fas-L) in plasma. Differences between groups were compared using an Independent sample t-test, Welch's t-test, chi-squared test and Wilcoxon rank sum test. The correlations of plasma endocan with lung function parameters, Fas and Fas-L were analyzed by Pearson's partial correlation test (adjusted for age, gender, body mass index and smoking history) and multiple linear regression.
RESULTS: Plasma endocan levels in COPD patients were significantly higher than those in healthy volunteers (509.7±18.25 pg/mL vs 434.8±18.98 pg/mL (P=0.0124)), and AECOPD patients had the highest levels of endocan (524.7±27.18 pg/mL). Correlation analysis showed that circulating endocan had a negative correlation to FEV1/FVC, FEV1/predictive and FVC (adjusted r=-0.213, P=0.03; adjusted r=-0.209, P=0.034; and adjusted r=-0.300, P=0.002, respectively), and had a positive correlation to Fas (adjusted r=0.280, P=0.004).
CONCLUSION: Our study shows that elevated circulating endocan levels are associated with reduced lung ventilation function in COPD and AECOPD patients. In addition, endocan may influence apoptosis in COPD, suggesting that endocan may play a role in COPD pathogenesis.

Introduction

COPD, a chronic disease that is characterized by airflow limitation and affects the airway and lung parenchyma, is a global disease closely related to smoking and is expected to become the fifth leading cause of disability.1,2 Acute exacerbation of COPD is very common and seriously affects quality of life and is the main cause of death in COPD patients.3,4 Pulmonary vascular endothelial cell damage and vascular inflammation are involved in the pathogenesis of COPD. Pulmonary inflammation can also spread to the systemic circulation and can increase the occurrence of cardiovascular events.5,6 Endothelial cells play an important role in acute inflammation related to COPD exacerbation.7–9 However, it is not yet clear what role endothelial cells play in COPD and what factors are involved.

Endocan, formerly known as endothelial cell-specific molecule 1 (ESM-1), is an endothelial-associated proteoglycan that is secreted mainly by activated endothelial cells. It is preferentially expressed in vascular endothelial cells in the lung and kidney, and its overexpression can be seen in some neonatal and proliferating tissues as well as some tumors.10,11

Recent studies have shown that endocan is associated with endothelial dysfunction and regulates inflammation in patients with inflammatory diseases, such as sepsis and chronic kidney disease.12,13 Thus, endocan is considered as a novel inflammation-related factor.14,15 The interaction of endocan with lymphocyte function-associated antigen-1 inhibits leukocytes from binding to the vascular endothelium.10,16 Multiple cytokines, including TNF-A, interleukin-1, microbial lipopolysaccharide and angiogenic factors can upregulate endocan expression, while interferon-γ seems to inhibit it.17,18 Endocan can relieve the apoptosis of lung epithelial cell in acute lung injury (ALI) by releasing over-activated mitochondrial unfolded protein response; endocan also promotes the differentiation and apoptosis of gastric adenocarcinoma cell by activating caspase- and p53-dependent apoptotic pathway.19,20

Therefore, we proposed that endocan may participate in the inflammatory activity and abnormal apoptosis of COPD. In this study, we aimed to evaluate the plasma levels of endocan in healthy subjects and patients with COPD, and to compare the correlation between endocan and changes in lung function and apoptosis.

Methods

Inclusion and exclusion criteria

The research protocol complied with the principles of the Declaration of Helsinki and was approved by the Ethics Committee of the West China Hospital of Sichuan University of the People’s Republic of China. All subjects provided written informed consent. From January to December 2016, the healthy volunteers, COPD patients and those with exacerbation of COPD were recruited at the hospital outpatient and inpatient departments of West China Hospital of Sichuan University. All patients were previously diagnosed with COPD based on GOLD documents. All subjects were asked about their medical history in detail, and chest CTs from the most recent year were reviewed. Exclusion criteria were as follows: 1) suffering from diseases other than COPD or acute exacerbation of chronic obstructive pulmonary disease (AECOPD), 2) unable or unwilling to cooperate with a doctor, 3) unable or unwilling to perform lung function tests, and 4) suffering from pulmonary diseases (acute respiratory distress syndrome [ARDS], asthma and lung cancer) or other diseases known to affect plasma endocan (including tumors, atherosclerosis and chronic kidney disease).

Collection of demographic and clinical characteristics

Basic information such as name, gender, ethnicity, age and smoking history was collected for all subjects. All the subjects underwent lung function test, administered by professionals, in the pulmonary function room, and the function data were collected. To avoid bias, the researchers who conducted spirometry testing did not know the patient’s enrollment beforehand.

Measurement of endocan, Fas and Fas ligand

Blood samples were collected from subjects the morning after enrollment. All subjects fasted from 9:00 pm the night before. Venous blood was collected from the median cubital vein and plasma was separated and stored immediately at −80°C until analysis. The endocan, Fas and Fas ligand (Fas-L) levels in the plasma were measured using the Magnetic Luminex Screening Assay (R&D Systems, Minneapolis, MN, USA) on a Bio-Plex 200 (Bio-Rad, Hercules, CA, USA) in the Division of Laboratory of West China Hospital. The detection sensitivity of endocan, Fas and Fas-L were 1.08 pg/mL, 3.23 pg/mL and 1.23 pg/mL, respectively.

Statistical analysis

All data were analyzed using SPSS 22.0 for Windows (IBM, Chicago, IL, USA) and figures were created using GraphPad Prism 6.01 for Windows (GraphPad Software Inc, La Jolla, CA, USA). For quantitative data, Shapiro–Wilk tests were used to determine whether they obey the normal distribution. Differences between groups were analyzed by independent sample t-test, t’ test, chi-squared test or Wilcoxon rank sum test. The correlations between plasma biomarkers and lung function parameters were analyzed using the Pearson’s partial correlation test to correct for age, gender, body mass index (BMI) and smoking history. Multiple linear regression analysis was conducted to confirm the aforementioned relationships. All data are presented as mean ± SD, and P-values <0.05 were considered statistically significant.

Results

Subject characteristics

In total, 118 subjects including 27 healthy controls, 55 COPD patients and 36 AECOPD patients with available lung function parameters and endocan levels were enrolled in the study. Among the 27 healthy controls, 55 COPD patients and 36 AECOPD patients, 8, 43 and 20 had a history of smoking, respectively. We applied the Global Initiative for Chronic Obstructive Lung Disease (GOLD) to grade airflow limitation in patients. In total, 19 subjects were classified as GOLD 1, 40 as GOLD 2, 23 as GOLD 3 and 9 as GOLD 4. There were no statistical differences in gender, BMI or number of current smokers and previous smokers between the three groups; however, healthy controls were younger than the COPD and AECOPD groups (P<0.05). Compared with healthy controls, FVC, FEV1, FEV1/Predictive FEV1 (FEV1/Pre) and FEV1/FVC were significantly lower in COPD and AECOPD patients (P<0.05). Table 1 shows the characteristics of these three groups.

Table 1

Characteristics of healthy volunteers and patients

Characteristics	Healthy controls		Healthy controls N=27	COPD		COPD N=55	AECOPD		AECOPD N=36
	Nonsmokers (9)	Smokers (8)		Nonsmokers (12)	Smokers (43)		Nonsmokers (16)	Smokers (20)
Age, years	46.05±2.714	46.50±3.765	46.19±2.173	64.25±3.045	65.44±1.348	65.18±1.233*,a	65.38±2.238	66.65±2.145	66.08±1.530*,a
Sex, male/female	77/12	8/0	15/12	4/8	41/2	45/10c	9/7	19/1	28/8c
BMI, kg/m2	25.09±0.8715	25.34±0.8241	25.16±0.6517	24.04±0.4470	24.00±0.3695	24.01±0.3032b	24.84±0.9521	23.55±0.8631	24.12±0.6396a
Pack-years for ever-smoker	NA	11.40±2.290	11.40±2.290	NA	39.15±4.306	39.15±4.306d	NA	12.06±1.081	12.06±1.081a
FEV1, L	3.123±0.2508	3.430±0.1999	3.214±0.1860	1.173±0.121	1.443±0.08433	1.384±0.07216*,b	2.632±0.2619	2.368±0.2217	2.485±0.1685*,a
FVC, L	3.309±0.2053	4.219±0.2505	3.579±0.1794	2.139±0.2090	2.890±0.1297	2.726±0.1181*,a	3.053±0.1456	645±0.1883	2.826±0.1261*,a
FEV1/FVC, %	89.24±1.495	87.21±3.177	88.64±1.388	53.92±3.179	49.58±1.831	50.52±1.596*,b	65.04±4.567	67.55±4.303	66.43±3.099*,b
FEV1/Pre	96.53±3.712	102.0±3.704	98.07±2.871	58.79±4.115	72.70±6.463	56.18±3.444*,a	56.95±6.982	72.70±6.463	65.70±4.862*,b
Fas, pg/mL	3,749±215.1	3,502±278.4	3,675±170.9	4,345±326.6	4,416±144.6	4,401±132.2*,a	4,421±309.6	4,915±268.8	4,696±204.4*,a
Fas-L, pg/mL	28.64±2.005	30.43±4.718	29.17±1.939	17.57±1.985	16.21±0.8628	16.51±0.7960b	23.42±2.503	23.98±1.802	23.73±1.475a
Endocan, pg/mL	447.0±23.58	405.8±30.82	434.8±18.98	517.2±45.03	507.6±19.97	509.7±18.25b	509.1±40.78	537.2±37.16	524.7±27.18b

Notes:

Independent sample t-test,

Welch’s t-test,

Chi-squared test and

Wilcoxon rank sum test were used to analyze the difference between two groups, respectively.

significant differences in these characteristics compared to the healthy controls (P<0.05). Data are presented as mean ± SD or number. P<0.05 was considered to be statistically significant.

Abbreviations: AECOPD, acute exacerbation of chronic obstructive pulmonary disease; BMI, body mass index; Fas-L, Fas ligand; pre, predicted; NA, not applicable.

Increased plasma endocan levels in patients with COPD and AECOPD

Our analyses showed that endocan levels in COPD patients (509.7±18.25 pg/mL) and AECOPD patients (524.7±27.18 pg/mL) were higher than those in healthy controls (434.8±18.98 pg/mL) (P=0.0124 and P=0.0139, respectively, Figure 1A). No statistical difference was found between COPD patients and AECOPD patients. The average endocan level was 447.0±23.58 pg/mL (n=19) for healthy nonsmokers, 405.8±30.82 pg/mL (n=8) for healthy smokers, 517.2±45.03 pg/mL (n=12) for COPD nonsmokers, 507.6±19.97 pg/mL (n=43) for COPD smokers, 509.1±40.78 pg/mL (n=16) for AECOPD nonsmokers and 537.2±37.16 pg/mL (n=20) for AECOPD smokers. Endocan levels in COPD and AECOPD smokers were higher than those in healthy smokers (P=0.0405 and P=0.0449, respectively, Figure 1B). AECOPD smokers had significantly elevated endocan levels when compared with healthy nonsmokers (P=0.049, Figure 1B).

Figure 1

Plasma endocan levels in healthy, COPD and AECOPD groups.

Notes: (A) Compared with healthy subjects, endocan levels were significantly elevated in COPD and AECOPD patients (P=0.0124 and P=0.0139, respectively). (B) Endocan levels in COPD and AECOPD smokers were higher than those in healthy smokers (P=0.0405 and P=0.0449, respectively). AECOPD smokers had a significantly elevated endocan levels when compared with healthy nonsmokers. The difference between healthy smokers and COPD smokers as well as the difference between healthy smokers and AECOPD smokers was analyzed by independent sample t-test, and the rest is Welch’s t’ test. (P=0.049) (*P<0.05). Independent sample t-test and Welch’s t’ test were used.

Abbreviation: AECOPD, acute exacerbation of chronic obstructive pulmonary disease.

Correlations between endocan and pulmonary function parameters, Fas and Fas-L

After adjusting for age, gender, BMI and smoking history, we found that plasma endocan in all healthy people and COPD patients was negatively correlated with FEV1/FVC (adjusted r=−0.251, P=0.036, Figure 2A), FEV1/Pre (adjusted r=−0.244, P=0.042, Figure 2B) and FVC (adjusted r=−0.263, P=0.028, Figure 2C). We also found that endocan levels were positively correlated with Fas (adjusted r=0.318, P=0.007, Figure 2D); however, there was no obvious correlation between endocan and Fas-L (adjusted r=0.101, P=0.404). In addition, endocan in all subjects was correlated with FEV1/FVC (adjusted r=−0.213, P=0.03, Figure 3A), FEV1/Pre (adjusted r=−0.209, P=0.034, Figure 3B), FVC (adjusted r=−0.300, P=0.002, Figure 3C) and Fas (adjusted r=0.280, P=0.04, Figure 3D), and the correlation between endocan with Fas-L was not found (adjusted r=0.146, P=0.140).

Figure 2

Correlations between plasma levels of endocan with FEV1/FVC, FEV1/Pre, FVC and Fas in healthy and COPD groups.

Notes: After adjusting for age, gender, BMI and smoking history, endocan was negatively correlated with FEV1/FVC (adjusted r=−0.251, P=0.036) (A); FEV1/Pre (adjusted r=−0.244, P=0.042) (B); FVC (adjusted r=−0.263, P=0.028) (C); and positively correlated with Fas (adjusted r=0.318, P=0.007) (D).

Abbreviations: AECOPD, acute exacerbation of chronic obstructive pulmonary disease; BMI, body mass index; pre, predicted.

Figure 3

Correlations between plasma levels of endocan with FEV1/FVC, FEV1/Pre, FVC and Fas in healthy, COPD and AECOPD groups.

Notes: After adjusting for age, gender, BMI and smoking history, endocan was negatively correlated with FEV1/FVC (adjusted r=−0.213, P=0.03) (A); FEV1/Pre (adjusted r=−0.209, P=0.034) (B); FVC (adjusted r=−0.300, P=0.002) (C); and positively correlated with Fas (r=0.280, P=0.004) (D).

Abbreviations: AECOPD, acute exacerbation of chronic obstructive pulmonary disease; BMI, body mass index; pre, predicted.

Multiple linear regression analysis

Multiple linear regression analysis showed that age, BMI, gender, smoking history, FEV1/FVC, Fas and Fas-L were the independent parameters associated with endocan (Table 2), and age, FEV1/FVC, Fas and Fas-L were statistically significant in this model (P<0.05).

Table 2

Multiple linear regression analysis for circulating endocan levels

Parameter	β	P-value	Tolerance	VIF
Age	0.250	0.013*	0.770	1.299
BMI	0.086	0.341	0.929	1.077
Sex	−0.065	0.543	0.648	1.542
Smoking history	−0.100	0.350	0.661	1.514
FEV1/FVC	−0.271	0.006*	0.787	1.271
Fas	0.261	0.005*	0.887	1.128
Fas-L	0.251	0.013	0.763	1.311

Notes: Age, BMI, gender, smoking history, FEV1/FVC, Fas and Fas-L were the independent parameters associated with endocan. The value of β represents standard regression coefficient.

P<0.05. When the tolerance closes to 0 or VIF ≥10, serious multicollinearity can be considered.

Abbreviations: BMI, body mass index; Fas-L, Fas ligand; VIF, variance inflation factor.

Discussion

This study was the first to explore the role of endocan in COPD. We found that endocan levels in COPD and AECOPD patients were significantly higher than those in healthy controls. Endocan level was negatively correlated with FEV1/FVC, FEV1/Pre and FVC, and was positively correlated with Fas, suggesting that endocan may be a useful biomarker for COPD.

We found that the endocan levels of COPD patients were significantly higher than those of healthy controls. While changes in pulmonary vascular structure and function are involved in the pathophysiological changes of COPD,21 the specific mechanism underlying the changes remains unclear. Endocan is a soluble dermatan sulfate proteoglycan produced by activation of the endothelium. It regulates cell proliferation, differentiation, migration and adhesion through various means and is a novel inflammatory marker.18 Endocan can influence the development of ALI and ARDS and may play an important role in predicting the prognosis of ARDS patients.22–24 Our work shows that endocan may also play a role in the inflammatory response of COPD.

In addition, our results show that endocan levels are negatively correlated with FEV1/FVC, FEV1/Pre and FVC. Endocan is mainly expressed in the pulmonary microcirculation where it plays an important role in the maintenance of endothelial homeostasis and is closely related to inflammation.17 Elevation of COPD airway inflammatory factors may be associated with endothelial dysfunction, and endothelial damage is proportional to the severity of bronchial obstruction.32,33 Our study demonstrates that endocan links airway obstruction with endothelial system changes. Thus, endocan can be used as a simple indicator of FEV1/FVC, FEV1/Pre and FVC in patients with COPD or AECOPD, especially under circumstances in which lung function tests cannot be performed.

Endocan was also positively correlated with Fas. Fas is a type I transmembrane glycoprotein belonging to the tumor necrosis factor receptor and the nerve growth factor receptor superfamily. When Fas binds to the Fas-L, it recruits several adapter proteins and forms the death-inducing signaling complex, eventually activating caspase-3, 6, 7 and inducing apoptosis.20,34,35 Previous studies have shown that endocan can be involved in cell apoptosis through mitochondrial unfolded protein response and caspase- and p53-dependent apoptotic pathway.19,20 Abnormal structural cell apoptosis in COPD leads to destruction of terminal airways, alveolar walls and pulmonary capillary beds, and is an important mechanism involved in the development of COPD.36 Therefore, we speculated that endocan may be involved in abnormal cell apoptosis in COPD, with abnormal apoptosis leading to damage and remodeling of the lung structure, which in turn affects ventilatory function in COPD.

There are several limitations to this study to be noted. First, because of the strict inclusion and exclusion criteria, we recruited only 118 subjects. The limited number of patients may affect the P-value of the correlation analysis and may result in false-negative correlations between endocan and other pulmonary function parameters. Endocan levels in AECOPD patients were higher than those in COPD patients; however, there was no statistical significance. Perhaps, there will be more discoveries as we expand the sample size. Second, the subjects included in the healthy control group were younger than those in COPD and AECOPD groups. However, we adjusted for age during the analysis and there are no studies showing that age has an important relationship with endocan expression. Ultimately, our study only shows that endocan may be related to COPD, but the specific mechanism remains unknown. Future studies should expand the sample size and focus on the mechanism by which endocan affects COPD.

Conclusion

Overall, our findings indicate that endocan may be associated with a decrease in ventilatory function in COPD and may be related to apoptosis of structural pulmonary cells, revealing that endocan may play an important role in the pathogenesis of COPD. This work provides new insights into COPD pathogenesis.