Increased MMP8 Levels in Atopic Chronic Obstructive Pulmonary Disease: A Study Testing Multiple Immune Factors in Atopic and Non-Atopic Patients

Abstract

Objective

The aim of this study was to analyse the level of serum matrix metalloproteinases (MMPs) in atopic and non-atopic COPD patients, providing guidance for clinical practice and theory for atopic COPD.

Methods

Blood samples from 50 adult male patients with COPD, including 17 atopic and 33 non-atopic patients, were submitted for detection of MMP8, MMP9, surfactant associated protein D (SPD), noradrenaline (NE), leukotriene (LT) B4, recombinant proteoglycan (PRG4), Phadiatop sIgE, and tIgE levels. Patients’ Modified Medical Research Council Dyspnea Scale (mMRC), COPD Assessment Test (CAT), pulmonary function test results, FeNO, blood cell ratio and induced sputum were collected.

Results

The level of serum tIgE in patients with atopic COPD [1876.00 kU/l (760.50, 5347.00)] was significantly higher than in patients with non-atopic COPD [377.00 kU/l (93.50, 581.50), P < 0.001]. The MMP8 levels in atopic COPD (1600 ± 1181 ng/mL) were significantly higher than in non-atopic COPD (973.3 ±921.5 ng/mL, P = 0.0494), but there was no significant difference in MMP9, SPD, NE, LTB4, and PRG4 levels between the two groups. In atopic COPD patients, the rate of leukocyte (r_s = 0.63, P < 0.001) and neutrophil (r_s = 0.54, P < 0.05) were positively correlated with MMP8 levels, while lymphocyte rate was negatively correlated with MMP8 (r_s = −0.70, P < 0.001) and MMP9 levels (r_s = −0.54, P < 0.05). Optimal scale analysis showed that NE was most closely related to the basophil rate from induced sputum and FeNO levels (Cronbach’s alpha = 85.1%). Interestingly, all atopic COPD patients with mMRC ≥2, CAT ≥ 10, and CCQ ≥16 exhibited MMP8 levels >1000 ng/mL.

Conclusion

In general, tIgE and MMP8 levels were higher in atopic COPD patients than in non-atopic patients. NE levels were closely correlated with the basophil rate of induced sputum and FeNO levels, which may play an important role in the pathogenesis and development of atopic COPD.

Keywords:

• chronic obstructive pulmonary disease
• atopy
• matrix metalloproteinases
• immunoglobulin E
• allergy

Introduction

Chronic obstructive pulmonary disease (COPD) is a common, preventable, and treatable disease, which is characterized by persistent airflow limitation and progressive respiratory symptoms associated with airway and/or alveolar abnormalities caused by continuous exposure to noxious particles or gases.¹ Worldwide, COPD is predicted to cause over 6 million deaths annually, and bring heavy medical burden to patients’ families.² Our previous study showed that 32.7% of the COPD cases were atopic, and atopens are one of the most important factors causing acute attack in COPD patients.³ Jin J et al found that COPD patients with increased total IgE (tIgE) levels have a longer dyspnea history and more serious symptoms than patients without this feature.⁴ Another study in Egypt revealed that atopic COPD patients had a longer history of illness, high smoking index, and a lower FEV₁.⁵ Therefore, it is very important to study the characteristics and pathogenesis of atopic COPD.

Matrix metalloproteinases (MMPs), a major group of enzymes that regulate cell–matrix composition, are zinc-dependent endopeptidases known for their ability to cleave one or several extracellular matrix constituents, as well as non-matrix proteins.⁶ MMPs are involved in a number of processes relevant to COPD, including growth factor, cytokine, and chemokine activity modulation; inflammatory cell migration; extracellular matrix turnover; and tissue remodeling.⁷ A study from Poland showed that COPD patients were predisposed to produce more MMP9 and MMP9/TIMP1 complexes compared to healthy individuals.⁸ Another study from Finland found a significant association between the levels of MMP8, neutrophil rate, and markers of their activation (lactoferrin and myeloperoxidase).⁹ As atopy involves migration of inflammatory cells and release of inflammatory factors, MMP8, MMP9, etc. inflammatory biomarkers may play an important role in atopic COPD.¹⁰ Meanwhile, previous research showed that surfactant associated protein D (SPD), noradrenaline (NE), leukotriene (LT) B4 and recombinant proteoglycan (PRG4) are also related to atopic diseases.^11–13 Unfortunately, studies comparing their levels in atopic and non-atopic COPD patients from southern China were not available. Consequently, this study assessed the levels of serum above immune factors in atopic and non-atopic COPD patients. The aim was to analyze the clinical characteristics and pathogenesis of the disease, providing guidance for clinical practice and theory of atopic COPD.

Materials and Methods

Ethical Approval

This study was reviewed and approved by the Ethics Committee of the First Affiliated Hospital of Guangzhou Medical University, with approval number: GYFYY-2016-73. Human serum samples were used in accordance with legislation in China and the wishes of donors, their legal guardians, or next of kin, where applicable, who had offered written informed consent to using the serum samples for future unspecified research purposes.

Patients

This cross-sectional study included a total of 50 adult male patients (>18 years old): 17 with atopic COPD and 33 with non-atopic COPD. Their data were obtained from the Allergy Information Repository of State Key Laboratory of Respiratory Disease (AIR-SKLRD) from January 2018 to January 2019, in south China. COPD was diagnosed by respiratory specialists using Guidelines for the Diagnosis and Treatment of Chronic Obstructive Pulmonary Disease (ie, evidence of irreversible obstructive impairment on spirometry, as defined by a post-bronchodilator FEV₁/FVC <70%).¹⁴ COPD patients who have (i) contact history with one or more common inhalant allergens (such as mites, pollen, animal dander, and fungi) and (ii) Phadiatop serum IgE ≥0.35 kU/l (ThermoFisher, Uppsala, Sweden) were defined as atopic COPD. Patients undergoing immunotherapy or with parasitic infection, food allergy, cancer, or other autoimmune diseases were excluded from this study. The patients’ sex, age, questionnaire information (including Modified Medical Research Council Dyspnea Scale [mMRC] and COPD Assessment Test [CAT]), pulmonary function test results (forced vital capacity [FVC], forced expiratory volume in 1 second [FEV₁]), fractional exhaled nitric oxide (FeNO), blood cell ratio, and induced sputum were collected by a skillful investigator (Chuanxu Cai) who was unaware of the Phadiatop test results. Exacerbation times were defined by patients’ history of acute attacks leading to hospitalization.

Detection of Serum IgE

Patient samples were obtained from the serum bank of the AIR-SKLRD. Around 5 mL of venous blood was taken and centrifuged at 3000 g for 10 minutes to prepare the supernatant, then stored at −80°C before detection. In this study, the Phadiatop sIgE (including fungi, pollen, insects, and dust mites) and tIgE levels of serum samples were assessed using the Phadia 1000 automatic allergy analyzer (ThermoFisher, Uppsala, Sweden) for in vitro diagnostic use. Samples with a Phadiatop sIgE concentration ≥0.35 kU/L were considered positive.

Detection of MMP8, MMP9, SPD, NE, LTB4, and PRG4

A total of 2 mL of venous blood was taken from the patients, and put into a test tube containing ethylenediaminetetraacetic acid (EDTA) as anticoagulant. After centrifuging at 1000 × g for 10 min, the upper plasma was taken for testing. The plasma levels of MMP8, MMP9, SPD, NE, LTB4, and PRG4 were detected using the ELISA kit (DRG Instruments GmbH, Germany). Results were reported in ng/mL.

Blood Cell Ratio Measurement

Peripheral blood was taken from patients and the ratios of leukocytes to blood cells, neutrophil, eosinophils, monocyte, lymphocyte, and basophil were measured using optical microscope.

Lung Function Measurement

Lung function parameters such as forced vital capacity (FVC), forced expiratory volume in 1 second (FEV₁), and maximum expiratory flow (MEF 25%, 50% and 75%) were assessed using spirometers (Jaeger, Germany) according to the recommendations of the American Thoracic Society/European Respiratory Society.

Induced Sputum Measurement

Sputum was induced by ultrasonic atomization inhalation of hypertonic saline. After smear, the neutrophil, eosinophils, monocyte and lymphocyte of induced sputum were counted under an optical microscope.

Fractional Exhaled Nitric Oxide Measurement

Fractional exhaled nitric oxide (FeNO) measurements were performed in the morning prior to the lung function tests using a chemiluminescence analyzer (NIOX MINO, Aerocrine, Sweden), according to international guidelines. Results were reported in ppb.

Data Analysis

Statistical studies were conducted with SPSS 22.0 (Chicago, IL). Parametric quantitative data were presented as the mean ± standard deviation, and differences between the two groups were analyzed by T-test. Non-parametric quantitative data were presented as a median (25%, 75%), and the Mann–Whitney U-test was applied to compare two-group differences. Categorical data were reported as a percentage showing the proportion of positive results. Proportions were compared between groups with chi-square tests (χ2). Correlation analyses between non-parametric data were performed using Spearman’s tests, with the correlation coefficients presented as “r_s”. The correlation between immune factors, sputum induction, and FeNO was calculated with the optimal scale analysis. P-value <0.05 was considered to be statistically significant.

Results

Baseline Characteristics

A total of 50 male patients with COPD were included. Among them, 17 were diagnosed with atopic COPD, with an age range of 45–79 years (mean 63.76 ± 8.62 years), 93.8% of the patients had smoked, and 37.5% of them had at least one exacerbation of the disease. The remaining 33 were non-atopic COPD patients, with an age range of 43–79 years (mean 63.48 ± 7.27 years), 87.1% of them had smoked, and 27.5% of the patients had at least one exacerbation of the disease. The level of serum tIgE in patients with atopic COPD [1876.00 kU/l (760.50, 5347.00)] was significantly higher than that determined in patients with non-atopic COPD [377.00 kU/l (93.50, 581.50), P < 0.001]. (Table 1)

Table 1 Baseline of Atopic and Non-Atopic COPD Patients

Characteristics	Atopic COPD	Non-Atopic COPD	P
Total (N)	17	33	–
Age (years old)	63.76±8.62	63.48±7.27	0.904
Weight (kg)	58.79±13.97	57.98±11.83	0.834
Height (cm)	164.10±6.83	165.00±5.43	0.653
Smoke (%)	93.8	87.1	0.491
FeNO (ppb)	27.10±15.90	25.41±13.70	0.701
TIgE (kU/L)	1876.00 (760.50, 5347.00)	377.00 (93.50, 581.50)	0.000
Exacerbation times (%)
0	62.5	69.1	0.194
1	25.0	17.2	0.388
2	12.5	10.3	0.148
≥3	0.0	3.4	0.564
Pulmonary function (%)
FVC	67.3±12.1	71.4±16.7	0.390
FEV1	32.4±9.0	33.7±8.0	0.626
FEV1/FVC	37.7±7.1	37.9±8.3	0.913
MEF75%	9.4±4.6	12.1±4.9	0.196
MEF50%	8.5±3.5	9.4±3.2	0.342
MEF25%	12.1±5.4	12.1±3.9	0.674
Score
CCQ	17.63±5.28	17.19±6.19	0.813
CAT	9.31±4.70	9.36±5.46	0.979
mMRC	1.63±0.72	1.26±0.82	0.136
Blood cell ratio (%)
Leukocyte	7.6±2.7	7.0±2.2	0.342
Neutrophil	64.5±10.6	60.5±10.8	0.230
Lymphocyte	24.9±9.4	29.5±9.4	0.112
Monocyte	6.4±2.0	6.10±1.21	0.509
Eosinophils	3.8±2.8	3.4±3.3	0.630
Basophil	0.4±0.3	0.5±0.4	0.232
Induced sputum (%)
Neutrophil	89.7±10.7	86.0±18.4	0.521
Macrophage	3.3±6.5	2.2±3.5	0.517
Eosinophils	5.0±4.8	9.3±18.3	0.439
Basophil	1.8±1.2	1.9±2.2	0.845

Abbreviations: FVC, forced vital capacity; FEV₁, forced expiratory volume in 1 second; MEF, maximum expiratory flow; CCQ, Clinical COPD Questionnaire; CAT, COPD Assessment Test; mMRC, Modified Medical Research Council Dyspnea Scale.

Comparison of MMP8, MMP9, SPD, NE, LTB4, and PRG4 Levels Between Atopic and Non-Atopic COPD Patients

In atopic COPD, the average level of MMP8 was the highest (1600 ± 1181 ng/mL), followed by MMP9 (203.0 ± 305.6 ng/mL), and LTB4 (704.3 ± 1074 ng/mL). In non-atopic COPD, the average level of MMP8 was the highest (973.3 ±921.5 ng/mL), followed by LTB4 (361.8 ± 293.1 ng/mL), and MMP9 (205.9 ±395.6 ng/mL). The MMP8 levels in atopic COPD patients were significantly higher than those assessed in non-atopic COPD patients (z = 2.019, P = 0.0494), but there was no significant difference in the levels of MMP9, SPD, NE, LTB4, and PRG4 between the two groups. (Figure 1) Compared with non-atopic COPD patients (69.7%), 81.2% of the atopic COPD patients had FEV₁ < 40%. Interestingly, all atopic COPD patients exhibited MMP8 levels above 1000 ng/mL. In contrast, in non-atopic COPD patients, only patients with the FEV₁ below 40% had MMP8 levels above 1000 ng/mL, and there was no obvious trend in the levels of MMP9, SPD, NE, LTB4, and PRG4 (Table 2).

Table 2 Immune Factor Levels Between Different Pulmonary Function Groups in Atopic and Non-Atopic COPD Patients

Atopic COPD patients	FEV1	FVC	Concentration (ng/mL)
			MMP8	MMP9	SPD	NE	LTB4	PRG4
>80%	0.0%	12.5%	1376.71±1129.5	133.07±104.31	3.66±1.47	2.33±1.22	369.47±824.56	63.74±13.99
60–80%	0.0%	56.3%	1353.50±1148.11	254.44±421.83	11.81±6.43	1.21±0.55	714.28±1008.76	58.00±16.00
40–60%	18.8%	31.2%	1621.95±1328.95	127.15±51.47	8.58±8.92	1.21±0.55	602.56±1088.49	61.87±16.25
<40%	81.2%	0.0%	1761.39±1174.87	228.78±332.66	10.11±8.92	1.27±0.57	794.29±1140.21	58.05±12.16
Non-Atopic COPD patients
>80%	0.0%	21.2%	587.32±344.40	103.30±28.69	6.34±2.86	0.99±0.59	500.10±238.68	58.47±13.42
60–80%	0.0%	48.5%	954.05±876.50	313.40±555.77	15.29±11.50	1.81±1.40	362.52±359.13	58.18±12.45
40–60%	30.3%	30.3%	938.12±927.32	147.31±205.02	12.08±8.57	1.43±1.73	362.40±216.86	55.27±15.91
<40%	69.7%	0.0%	1140.40±1052.23	213.26±439.61	15.71±11.04	1.89±1.84	309.84±316.99	54.62±16.91

Note: Around 12.5% of patients had FVC>80% and MMP9 levels 133.07±104.31 ng/mL.

Abbreviations: FVC, forced vital capacity; FEV₁, forced expiratory volume in 1 second.

Figure 1 Levels of immune factors between atopic and non-atopic COPD patients. T test: *P<0.05. (A) Levels of MMP8 in atopic COPD patients were higher than in non-atopic COPD patients. But there were no significant difference in (B) MMP9; (C) SPD; (D) NE; (E) LTB4; and (F) PRG4 between atopic COPD patients and non- atopic COPD patients.

Correlations Between MMP8, MMP9, SPD, NE, LTB4, PRG4, tIgE Levels and White Blood Cell Rate in Atopic and Non-Atopic COPD Patients

In atopic COPD patients, the rate of leukocyte (r_s = 0.63, P < 0.001) and neutrophil (r_s = 0.54, P < 0.05) positively correlated with MMP8 levels, while the lymphocyte rate negatively correlated with the levels of MMP8 (r_s = −0.70, P < 0.001) and MMP9 (r_s = −0.54, P < 0.05). PRG4 levels negatively correlated with the rate of monocyte (r_s = −0.54, P < 0.05), but positively correlated with tIgE levels (r_s =0.63, P <0.001). In non-atopic COPD patients, NE levels negatively correlated with the rate of neutrophil (r_s = −0.35, P < 0.05), but positively correlated with the lymphocyte rate (r_s = 0.41, P < 0.05). Interestingly, there was a positive correlation between NE and MMP9 levels (r_s = 0.59, P < 0.05) in atopic COPD, but the two were negatively correlated in non-atopic COPD (r_s = −0.33, P >0.05). In addition, there was a negative correlation between the rate of MMP8 and PRG4 (Atopic COPD: r_s = −0.44, P > 0.05; Non-atopic COPD: r_s = −0.39, P < 0.05). (Figure 2).

Figure 2 Correlations between the levels of immune factors, tIgE and the rate of white blood cells. Spearman correlation analysis: *P<0.05; **P<0.001. The strongest correlation was between the levels of tIgE and PRG4 in non-atopic COPD patients (r_s = 0.63, P <0.05).

Comparison of Clinical Characteristics Between Atopic and Non-Atopic COPD Patients

In the COPD group, 8 cases exhibited mMRC ≥ 2, 6 cases presented CAT ≥ 10, and 9 cases showed CCQ ≥ 16. Among them, 3 cases were complicated with mMRC ≥ 2, CAT ≥ 10, and CCQ ≥ 16, and their MMP8 levels were over 1000 ng/mL. In the non-atopic COPD group, 9 cases showed mMRC ≥ 2, 13 cases presented CAT ≥ 10, 19 cases exhibited CCQ ≥ 16, and 6 cases were complicated with mMRC ≥ 2, CAT ≥ 10, and CCQ ≥ 16, but only 1 case had MMP8 levels over 1000 ng/mL (Figure 3). The optimal scale analysis showed that NE levels were most closely related to induced sputum’s basophil rate and FeNO levels (Cronbach’s alpha = 85.1%) (Figure 4).

Figure 3 Levels of immune factors in patients with mMRC≥2, CAT≥10, and CCQ≥16. CCQ, Clinical COPD Questionnaire; CAT, COPD Assessment Test; mMRC, Modified Medical Research Council Dyspnea Scale. (A) In atopic COPD patients, there were 3 patients with mMRC≥2, CAT≥10, and CCQ≥16 in the COPD group, and all of them had MMP8 levels ≥1000 ng/mL. (B) In non-atopic COPD patients, 6 cases were complicated with mMRC ≥ 2, CAT ≥ 10, and CCQ ≥ 16, but only 1 case had MMP8 levels ≥1000 ng/mL.

Figure 4 Correlations between immune factor levels, sputum induction, and FeNO. The distance from the point represents their relationship. Optimal scaling analysis showed that there was a correlation between NE levels, basophil rate, and FeNO levels (Cronbach’s alpha = 85.1%).

Discussion

Allergens play an important role in the pathogenesis of COPD.¹⁵ Our previous studies have shown that about 32.7% of COPD patients are atopic. There are various differences in the pathogenesis, symptoms, and pulmonary function of atopic vs non-atopic COPD patients. In this study, by evaluating the serum levels of MMP8, MMP9, SPD, NE, LTB4, and PRG4 in 17 cases of atopic COPD and 33 cases of non-atopic COPD, it was found that both serum tIgE and MMP8 levels were higher in patients with atopic COPD than in patients with non-atopic COPD. MMP8, which is involved in many pathological processes such as arthritis, cancer, and autoimmune disease, is a zinc- and calcium-dependent endopeptidase that can degrade all components of the extracellular matrix, and the atopy observed in COPD patients may be related to MMP8.¹⁶ In addition, MMP9 is the main member of the MMPs family involved in the degradation of collagen from the vascular basement membrane, which causes vascular remodeling by changing the structure and composition of the vascular basement membrane.¹⁷ SPD is mainly secreted by type II alveolar cells and regulates immunity and inflammation,¹¹ while LTB4 is a powerful neutrophil chemotactic factor which triggers the accumulation of neutrophils in the airway tissue in COPD patients.¹² PRG4 is an extracellular matrix protein and has been identified to act as macrophage growth-stimulating factor and joint synovial glycoprotein.¹³ However, we found no difference in the levels of MMP9, SPD, NE, LTB4, and PRG4 between atopic and non-atopic COPD patients. But a meta-analysis showed that MMP9 rs3918242 C > T significantly correlated with increased susceptibility to COPD.¹⁸

In clinical manifestations, 37.5% of patients with atopic COPD had at least one exacerbation of the disease, while only 27.5% of patients with non-atopic COPD had at least one exacerbation of the disease. This may be due to the fact that patients with atopic COPD are more susceptible to the influence of allergens in the air, which can cause acute exacerbation due to the stimulation of allergens.¹⁹ In addition, there is a positive correlation between neutrophil rate and MMP8 levels in patients with atopic COPD, which may suggest that neutrophil are involved in the allergic process of airway in these patients. In the case of LPS and Th17 immune response, neutrophil from the lung can be activated, and then activate MMP8 to stimulate an inflammatory response in patients with atopic COPD.²⁰

Interestingly, there is a positive correlation between NE and MMP9 levels in atopic COPD, but the two negatively correlated in non-atopic COPD patients. NE is mainly synthesized and secreted by sympathetic postganglionic neurons and adrenergic neurons from the brain.²¹ It has obvious vasoconstrictor effects, which can increase peripheral resistance and arterial blood pressure. A study from Poland has shown that the levels of IL-6, MMP9, and NE were higher in COPD patients than in asthmatics.²²

In atopic COPD, 47.1% of the patients had a poor mMRC score, compared with the non-atopic group (27.3%), suggesting that patients with atopic COPD had more severe dyspnea than non-atopic COPD patients, while there was no significant difference in the CCQ and CAT scores between atopic and non-atopic COPD patients. Surprisingly, all atopic COPD patients with mMRC ≥ 2, CAT ≥ 10, and CCQ ≥ 16 exhibited MMP8 levels over 1000 ng/mL, contrasting to non-atopic COPD patients, among which only one case presented MMP8 levels over 1000 ng/mL. There is a relationship between MMP8 levels and the mMRC score of atopic COPD patients, which might arise due to allergens in the air affecting these COPD patients; following allergen stimulation, MMP8 mediates the inflammatory response, which renders patients more prone to acute attacks and dyspnea. Harper JI et al showed that MMP8 dominated a mixture of MMPs that are detectable on the skin surface in acute atopic dermatitis.²³

Finally, the optimal scale analysis showed that NE was most closely related to the rate of basophils from induced sputum and FeNO levels. Airway basophils participate in local atopic response, whereas the level of FeNO can reflect the severity of airway inflammation, suggesting that there is a close relationship between atopy and airway inflammation, which corroborates with a previous American study.²⁴

However, the small sample size was the main limitation of this study, which needs further research increasing the sample size to verification. Meanwhile, this study didn’t consider the atopic patients who will develop into COPD, and only analyzed the immune factors between atopic COPD patients and non-atopic COPD patients, MMP8 were likely to play an important role in the development of atopic COPD. It needs to be supplemented by longitudinal research in the future.

Conclusion

Generally, the levels of serum tIgE and MMP8 in patients with atopic COPD were higher than those observed in patients with non-atopic COPD. The rate of neutrophil in patients with atopic COPD positively correlated with MMP8 levels, and dyspnea was more severe in patients with atopic COPD. NE levels were closely related to the rate of basophil from induced sputum and FeNO levels, which may play an important role in the pathogenesis and development of atopic COPD.

Data Sharing Statement

The data that support these findings are available on reasonable request from the corresponding author BQS. Data are not publicly available due to concerns regarding research participant privacy.

Ethics Approval and Consent to Participate

This study was conducted in accordance with the Declaration of Helsinki. Approval was obtained from the ethic committee of The First Affiliated Hospital of Guangzhou Medical University (Reference number: GYFYY-2016-73).

Disclosure

The authors declare that they have no competing interests.

Acknowledgments

We thank everyone involved in the collection, detection, and date management of the serum samples. We would like to thank Editage for English language editing.