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. 2013 Jul 13;22(5):469–474. doi: 10.1159/000349934

Surfactant Protein D, Soluble Intercellular Adhesion Molecule-1 and High-Sensitivity C-Reactive Protein as Biomarkers of Chronic Obstructive Pulmonary Disease

Sahar E El-Deek a, Hoda A Makhlouf b,*, Tahia H Saleem a, Manal A Mandour a, Nahed A Mohamed a
PMCID: PMC5586777  PMID: 23860258

Abstract

Objective

The aim of this study was to estimate the serum levels of surfactant protein D (SP-D), soluble intercellular adhesion molecule-1 (sICAM-1), and high-sensitivity C-reactive protein (hs-CRP) in patients with chronic obstructive pulmonary disease (COPD) and to assess the correlation of these indices with COPD severity.

Subjects and Methods

This analytic cross-sectional study was carried out on 64 COPD male patients, and 26 apparently healthy age-matched males as a control. Chest X-ray, spirometry and arterial blood gases were done for only COPD patients. Serum levels of SP-D, sICAM-1 and hs-CRP were determined by enzyme-linked immunosorbent assay in both patient and control groups.

Results

The serum levels of SP-D, sICAM-1 and hs-CRP were significantly higher in COPD patients than controls (p < 0.001 for each). Also, these biomarkers were significantly higher in stages III and IV compared to either stage I or II (p < 0.01 for each). SP-D was significantly positively correlated with sICAM-1 and hs-CRP (r = 515, p < 0.001; r = 501, p < 0.001, respectively) and negatively correlated with PaO2 (r = −0.651, p < 0.001) and all parameters of spirometry.

Conclusion

SP-D, sICAM and hs-CRP were significantly higher in COPD patients in comparison with controls. Moreover, SP-D, sICAM-1, and hs-CRP were significantly negatively correlated with FEV1%. Accordingly, estimation of these biochemical indices may be used as biomarkers for assessment of COPD severity.

Key Words: Chronic obstructive pulmonary disease, Surfactant protein D, Soluble intercellular adhesion molecule-1, High-sensitivity C-reactive protein

Introduction

Chronic obstructive pulmonary disease (COPD) is a leading cause of morbidity and mortality [1,2]. Tobacco smoking is considered the primary cause and the major risk factor for development of COPD. The prevalence of COPD is reported to be on the increase in most of the industrialized countries [3]. In Egypt, the prevalence of COPD is approximately 1.1% [4].

Pulmonary surfactant is a complex material that covers the alveolar surface of the lung; it reduces the surface tension at the air-liquid interface of the alveoli, thereby preventing alveolar collapse during expiration [5]. Surfactant protein D (SP-D) is a large hydrophilic, multimeric, collagenous glycoprotein that belongs to the family of collectins, which is a subgroup of C-type lectins. When lung injury occurs, SP-D may leak out from the lung compartment into the systemic circulation and can be detected in serum [6]. Cell adhesion molecules are defined as proteins located on the surface of the cell and involved with the binding with other cells or with the extracellular matrix called cell adhesion [7]. Soluble intercellular adhesion molecule-1 (sICAM-1) is expressed on vascular endothelium and on immune and inflammatory cells. It mediates the adhesion and transmigration of leukocytes to vascular endothelium [8]. The up-regulation of sICAM-1 in COPD remains uncertain because of conflicting findings [9,10,11].

High-sensitivity C-reactive protein (hs-CRP) is an acute-phase protein, which is strongly linked to airway inflammation and obstruction [12]. Elevated CRP has been used as a predictor of adverse events in pulmonary and cardiovascular diseases and as a marker of systemic inflammation in diverse conditions [13].

The objectives of this study were to estimate the serum levels of SP-D, sICAM-1, and hs-CRP in patients with COPD and the correlation of their serum levels with the severity of COPD as measured by pulmonary function tests.

Subjects and Methods

This analytic cross-sectional study was carried out on 64 COPD male patients who were selected from the Outpatient Clinic of the Department of Chest Diseases at Assiut University Hospital, Egypt. The patients with COPD were diagnosed and classified according to the Global Initiative for Chronic Obstructive Lung Disease (GOLD, 2007) [2]. In addition, 26 apparently healthy, age- and sex-matched individuals were included in this study as a control group. The control group was subclassified into nonsmokers (n = 14) and smokers (n = 12). Informed written consent was obtained from each subject and the study was approved by the Faculty of Medicine Ethics Committee, Assiut University, Egypt.

The following patients were excluded: patients who had other respiratory diseases, associated hepatic or renal diseases, recent surgery and malignancy and COPD exacerbation within 4 weeks of the study.

All the enrolled participants had their medical history taken, physical examination and chest X-ray. The diagnosis of COPD was made on the basis of clinical and radiological criteria, followed by spirometry (ZAN300, Oberthulba, Germany). Arterial blood gases in room air were obtained by blood sampling from a radial artery and analyzed using a blood gas analyzer (Rapid Lab 850; Chiron Diagnostics, Critical Care Systems). A 10-ml sample of venous blood was collected from both patient and control groups by venipuncture under completely aseptic conditions. The samples were collected in plain tubes and were allowed to clot at room temperature for at least 30 min, then centrifuged at 1,500 rpm for 15 min at room temperature. The serum was divided into three aliquots using a sterile plastic transfer pipette and frozen in −70°C until use. Serum SP-D was determined by using a Surfactant Protein D Human ELISA kit (BioVendor Laboratorni Medicina) according to the method described by Crouch [14]. The minimum detectable level and the intra-assay and interassay coefficients of the serum SP-D test were 0.2 ng/ml, 3.7 and 7.5%, respectively. Serum sICAM-1 was determined by using a Human sICAM-1 ELISA kit (Bender MedSystems GmbH, Campus Vienna Biocenter) according to the methods described by Adams et al. [15]. The minimum detectable level and the intra-assay and interassay coefficients of the serum sICAM-1 test were 2.2 ng/ml, 4.1 and 7.7%, respectively. Serum hs-CRP was determined by using an ELISA kit (Diagnostics Biochem, Canada), according to the methods described by Roberts et al. [16]. The minimum detectable level and the intra-assay and interassay coefficients of the serum hs-CRP test were 10 ng/ml, 8.3%, and 9.5%, respectively.

Statistical Analysis

Statistical analysis was performed using the Statistical Package for the Social Sciences (SPSS version 17) software. The results are expressed as means ± standard deviation or frequencies. One-way ANOVA was used for comparison of continuous variables between the four stages of COPD. Independent Student's t test was done for comparison between COPD and controls. Proportions were compared using χ2 tests. Pearson's correlation analysis was used to evaluate the correlations between different parameters in each group; p values <0.05 were considered significant. The threshold value for optimal sensitivity and specificity of the SP-D was determined by the receiver operating characteristics (ROC) curve.

Results

The demographic data are shown in table 1. Pulmonary function tests in stages III or IV were significantly lower than either in stage I or II (p < 0.001 for each). Moreover, FEV1 liters/s, FEV1% and FVC% in stage IV were significantly lower than those in stage III (p = 0.009, p < 0.001, p = 0.002, table 2). Regarding the arterial blood gases, PaO2 and O2 saturation (p < 0.001 for each) were significantly lower; PaCO2 and HCO3 were significantly higher in stage IV compared to stage I (p < 0.001), II (p < 0.001) or III (p = 0.004, p = 0.001, table 2).

Table 1.

Demographic data of the study group

Variable Control (n = 26) Patients with COPD
stage I (n = 10) stage II (n = 17) stage III (n = 17) stage IV (n = 20)
Age, years 57.96±7.09 53.9±8.45 59.0±11.55 64.18±6.11 59.5±7.16
Smoking habits
 Smokers 14 (53.8%) 10 (100%) 17 (100%) 17 (100%) 20 (100%)
 Nonsmokers 12 (46.2%) 0 (0%) 0 (0%) 0 (0%) 0 (0%)
Symptoms
 Cough 10 (100%) 17 (100%) 17 (100%) 20 (100%)
 Expectoration 9 (90%) 17 (100%) 17 (100%) 17 (100%)
 Dyspnea 10 (100%) 17 (100%) 17 (100%) 20 (100%)
 Chest wheezes 8 (80%)* 7 (41.2) 0 (0%) 0 (0%)

Data are expressed as mean ± SD or number (%). Significant compared to other groups: * p < 0.001.

Table 2.

Pulmonary function tests and arterial blood gases of COPD patients

Variable Stage I (n = 10) Stage II (n = 17) Stage III (n = 17) Stage IV (n = 20)
Pulmonary function tests
FEV1, liters/s 2.83±0.22 1.9±0.45 0.98±0.29 0.72±0.13
 p1 <0.001* <0.001* <0.001*
 p2 <0.001* <0.001*
 p3 0.009*
FEV1, % 81.7±2.31 64.41±6.21 37.12±5.78 25.45±4.21
 p1 <0.001* <0.001* <0.001*
 p2 <0.001* <0.001*
 p3 <0.001*
FVC, liters/s 4.80±0.58 3.23±0.78 2.17±0.63 1.78±0.43
 p1 <0.001* <0.001* <0.001*
 p2 <0.001* <0.001*
 p3 0.058
FVC, % 113.8±12.66 87.06±12.23 63.47±15.22 50.3±9.85
 p1 <0.001* <0.001* <0.001*
 p2 <0.001* <0.001*
 p3 0.002*
FEV1/FVC% 59.42±6.08 59.71±9.04 45.44±4.68 41.2±6.68
 p1 0.917 <0.001* <0.001*
 p2 <0.001* <0.001*
 p3 0.066
FEF25–75, liters/s 1.95±0.52 1.14±0.51 0.42±0.14 0.29±0.05
 p1 <0.001* <0.001* <0.001
 p2 <0.001* <0.001
 p3 0.264
FEF25–75, % 48.6±11.35 33±10.64 13.59±3.43 8.9±1.48
 p1 <0.001* <0.001* 0.000*
 p2 <0.001* 0.000*
 p3 0.056

Arterial blood gases
 paO2, mm Hg 92.4±6.36 89.65±6.26 76.94±7.76 60.95±12.67
 p1 0.452 <0.001* <0.001*
 p2 <0.001* <0.001*
 p3 <0.001*
 paCO2, mm Hg 30.04±4.8 34.84±4.08 42.62±5.98 52.14±15.22
 p1 0.211 0.002* <0.001*
 p2 0.020* <0.001*
 p3 0.004*
 pH 7.44±0.03 7.42±0.04 7.41±0.07 7.42±0.05
 p1 0.315 0.168 0.452
 p2 0.658 0.739
 p3 0.429
HCO3, mmol/l 21.09±4.08 24.17±3.66 29.15±4.26 35.15±7.05
 p1 0.140 <0.001* <0.001*
 p2 0.007* <0.001*
 p3 0.001*
O2 Sat, % 97.54±0.71 95.57±5.85 95.42±3.59 88.32± 7.47
 p1 0.373 0.337 <0.001*
 p2 0.936 <0.001*
 p3 <0.001*

FEV1 = Forced expiratory volume in 1 s; FVC = forced vital capacity; FEF = forced expiratory flow; PaO2 = arterial partial pressure of oxygen; PaCO2 = arterial partial pressure of carbon dioxide; HCO3 = bicarbonate; O2 Sat = O2 saturation; p1 = versus stage I; p2 = versus stage II; p3 = versus stage III. Data expressed as mean ± SD; p values with an asterisk are significant.

The serum levels of SP-D were significantly higher in COPD patients (314.8 ± 103.0) than in controls (1,228 ± 31.9 ng/ml, p < 0.001). The SP-D levels in stages II, III and IV were significantly higher than those of controls (both nonsmokers and smokers, p < 0.001 for each), and also, in stage I compared to control nonsmokers or control smokers (p < 0.001 and p = 0.021, respectively). Moreover, significantly higher SP-D levels were observed in stages III and IV compared to either stage I or II (p < 0.001 for each). Also, there were significantly higher SP-D levels compared to stage III (p = 0.003, table 3).

Table 3.

Mean serum levels of SP-D, sICAM-1 and hs-CRP in patients with COPD and controls

Groups/variables Control (n = 26)
COPD patients (n = 64)
control nonsmokers (n = 12) control smokers (n = 14) stage I (n = 10) stage II (n = 17) stage III (n = 17) stage IV (n = 20)
SP-D, ng/ml 97.45±14.21 144.44±26.14 199.63±45.18 241.29±42.72 348.59±77.22 406.01±77.89
 p1 0.038* <0.001* <0.001* <0.001* <0.001*
 p2 0.021* <0.001* <0.001* <0.001*
 p3 0.068 <0.001* <0.001*
 p4 <0.001* <0.001*
 p5 0.003*

sICAM-1, ng/ml 99.65±2.36 103.42±1.66 116.55±16.60 122.36±9.08 163.74±46.29 173.38±34.92
 p1 0.714 0.244 0.029* <0.001* <0.001*
 p2 0.148 0.056 <0.001* <0.001*
 p3 <0.001* <0.001*
 p4 <0.001* <0.001*
 p5 0.382

hs-CRP, ng/ml 3626.36±355.55 4370.47±761.64 4,822.10±769.61 5,203.58±772.77 5,883.70±726.66 6,297.81±398.94
 p1 0.005* <0.001* <0.001* <0.001* <0.001*
 p2 0.096 0.001* <0.001* <0.001*
 p3 0.143 <0.001* <0.001*
 p4 <0.001* <0.001*
 p5 0.003* 0.056

p1 = vs. control nonsmokers; p2 = vs. control smokers; p3 = vs. stage I; p4 = vs. stage II; p5 = vs. stage III. Data are expressed as mean ± SD; p values with an asterisk are significant.

Serum levels of sICAM-1 were significantly higher in COPD patients than in the control group (148.4 ± 39.7 vs. 101.7 ± 2.8 ng/ml, p < 0.001). A significantly higher mean level of sICAM-1 was noticed in stages III and IV compared to either controls (both nonsmokers and smokers), stage I or stage II (p < 0.001 for each), and in stage II compared to control nonsmokers (p = 0.029, table 3).

There was a significantly higher serum level of hs-CRP in COPD patients compared to the control group (5,666.6 ± 853.6 vs. 4,027.0 ± 707.4 ng/ml, p < 0.001). Also, the hs-CRP levels were significantly higher in stages I-IV in comparison with control nonsmokers (p < 0.001 for each), and also in stages II-IV compared to control smokers (p = 0.001, p < 0.001 and p < 0.001, respectively) and in control smokers compared to control nonsmokers (p = 0.005). Significantly higher hs-CRP levels in stages III and IV compared to either stage I (p < 0.001) or II (p = 0.003, p < 0.001, table 3).

There were significantly negative correlations between serum levels of SP-D, sICAM-1, and hs-CRP with all parameters of pulmonary function tests including FEV1% (p < 0.001). Serum levels of SP-D, sICAM-1, and hs-CRP were significantly negatively correlated with PaO2(p < 0.001) and significantly positively correlated with PaCO2(p < 0.001; p = 0.006; p = 0.004) and HCO3-(p < 0.001, p < 0.001, p < 0.001, table 4). There were significant positive correlations between SP-D and sICAM-1 (r = 515, p < 0.001), and SP-D and hs-CRP(r = 501, p < 0.001). Using the ROC curve of serum SP-D, the best cutoff value was 186.14 ng/ml; sensitivity was 90.60%, specificity 100%, and area under the ROC curve 0.954.

Table 4.

Correlation coefficients of various markers studied, pulmonary function tests and arterial blood gases of COPD patients

Variable SP-D sICAM-1 hs-CRP
Pulmonary function tests
FEV1, liters/s
 r −0.727 −0.541 −0.541
 p value <0.001* <0.001* <0.001*
FEV1, %
 r −0.775 −0.577 −0.590
 p value <0.001* <0.001* <0.001*
FVC, liters/s
 r −0.714 −0.492 −0.481
 p value <0.001* <0.001* <0.001*
FVC, %
 r −0.759 -0.485 −0.508
 p value <0.001* <0.001* <0.001*
FEV1/FVC%
 r −0.528 −0.465 −0.481
 p value <0.001* <0.001* <0.001*
FEF25–75, liters/s
 r −0.666 −0.486 −0.466
 p value <0.001* <0.001* <0.001*
FEF25–75, %
 r −0.711 −0.521 −0.472
 p value <0.001* <0.001* <0.001*

Arterial blood gases
PaO2, mm Hg
 r −0.651 −0.538 −0.545
 p value <0.001* <0.001* <0.001*
PaCO2, mm Hg
 r 0.597 0.341 0.356
 p value <0.001* <0.006* 0.004*
pH
 r −0.114 0.018 0.143
 p value 0.371 0.888 0.259
HCO3, mmol/l
 r 0.593 0.450 0.453
 p value <0.001* <0.001* <0.001*
O2 Sat, %
 r −0.406 −0.342 −0.220
 p value 0.001* 0.006* 0.081

FEV1 = Forced expiratory volume in 1 s; FVC = forced vital capacity; FEF = forced expiratory flow; PaO2 = arterial partial pressure of oxygen; PaCO2 = arterial partial pressure of carbon dioxide; HCO3 = bicarbonate; O2 Sat = O2 saturation; r = correlation coefficient; p values with an asterisk are significant.

Discussion

In the current study, the mean serum levels of SP-D were significantly higher in COPD patients compared to the control group. The SP-D levels in stages III and IV were significantly higher than in other stages. Moreover, the SP-D levels in control smokers were significantly higher than in control nonsmokers. In addition, there were significantly negative correlations between serum levels of SP-D with pulmonary function tests including FEV1% and PaO2 and significantly positive correlation with PaCO2. These data suggest that elevated serum SP-D is a good marker of reduced lung function and thus serum SP-D is a promising biomarker for tracking COPD progression.

These results are in agreement with previous studies l [17,18] that reported overexpression of SP-D in patients with COPD. In concordance to our study, Laniado-Laborin [19] and Lomas et al. [6] detected a difference in serum SP-D between smokers and nonsmokers. Moreover, Sin et al. [20] found that SP-D was significantly inversely correlated with pulmonary function tests including FEV1, which is in agreement with the present study. In addition, Ju et al. [21] concluded that SP-D can reflect the overall COPD severity. On the other hand, Cazzola and Novelli [22] demonstrated that serum SP-D levels were not associated with COPD severity as defined by the GOLD status.

The following findings confirmed previous studies: serum sICAM-1 levels were higher in COPD patients as compared to control groups, in stages III and IV as compared to other groups, and had significantly negative correlation with pulmonary function tests and PaO2 and a significantly positive correlation with PaCO2 [10,11,23]. sICAM-1 is important in the recruitment and migration of leukocytes from the circulation to inflammatory tissues [8].

Hs-CRP is an acute-phase protein, which plays a pathogenic role in airway inflammation [12]. In the current study, the mean serum levels of hs-CRP were significantly higher in COPD patients compared to the control group and in stages III and IV compared to other groups. Also, the mean serum levels of hs-CRP were significantly higher in control smokers compared to control nonsmokers. There was a significantly negative correlation between hs-CRP and pulmonary function tests and PaO2. These results were in agreement with previous studies [24,25,26,27]. The finding that hs-CRP was significantly positively correlated with sICAM-1 confirmed the study by Walter et al. [28]. This may be due to the effects of cigarette smoking, which confirms the role of systemic inflammation in the pathogenesis of COPD.

There are some limitations to this study. First, the sample size is not large. Second, being a cross-sectional study, we cannot take into account the temporal sequence of events, i.e. it cannot be determined whether the exposure preceded the measured outcome. Third, it is not a follow-up study, thus remote effects could not be studied. Fourth, we did not do multivariable analysis in this study.

Conclusion

SP-D, sICAM-1 and hs-CRP were significantly higher in COPD patients in comparison with controls. Moreover, SP-D, sICAM-1, and hs-CRP were significantly negatively correlated with FEV1%. Accordingly, estimates of these biochemical indices may be used as biomarkers for the assessment of COPD severity.

Acknowledgments

The authors thank all the nursing staff in the Chest Outpatient Clinic and the technicians in the Medical Biochemistry Laboratory, Assiut University Hospital, Egypt, for their help during the study period.

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