Literature DB >> 29950127

Changes in Th1/Th2-producing cytokines during acute exacerbation chronic obstructive pulmonary disease.

Bing Wei1, Chun Sheng Li2.   

Abstract

Objective This study aimed to explore cytokine serum levels and the ratio of type 1 T helper (Th1)/Th2 cells in patients with acute exacerbation of chronic obstructive pulmonary disease (AECOPD). Methods A total 245 patients diagnosed with AECOPD and 193 patients who progressed to stable COPD after the initiation of treatment in hospital were selected, while a further 50 healthy individuals served as controls. All patients with COPD were diagnosed using Global Initiative for Chronic Obstructive Lung Disease criteria. Serum concentrations of interleukin (IL)-2, interferon (IFN)-γ, IL-4, IL-10, IL-17, and immunoglobulin (Ig)E were measured using enzyme-linked immunosorbent assays. Results AECOPD patients had higher levels of IL-2, IFN-γ, IL-4, IL-10, IL-17, and IgE than those with stable COPD or controls. Intriguingly, the ratios of Th1/Th2 and IL-17/IgE were lower in AECOPD patients compared with the other two groups. These data suggest that AECOPD patients produce more IgE and have more differentiated Th2 cells than other groups. Conclusion Our findings suggest that an imbalance of circulating CD4+ T cell subsets correlates with AECOPD, and that a shift of Th1/Th2 and IL-17/IgE ratios may be caused by increased Th2 cell production.

Entities:  

Keywords:  AECOPD; IL-17; IgE; Th1; Th2; correlation analysis; variation of function

Mesh:

Substances:

Year:  2018        PMID: 29950127      PMCID: PMC6136028          DOI: 10.1177/0300060518781642

Source DB:  PubMed          Journal:  J Int Med Res        ISSN: 0300-0605            Impact factor:   1.671


Introduction

Patients with chronic obstructive pulmonary disease (COPD) who show a sudden deterioration in lung function are said to suffer from acute exacerbation COPD (AECOPD). This is characterized by rapidly worsening respiratory symptoms that can have a negative effect on their quality of life and which are associated with an increased risk of mortality.[1] Patients with AECOPD are prone to develop respiratory failure and progressive chronic disease characterized by irreversible airway obstruction.[2] Infections, tobacco, toxic particle inhalation, and air pollution have all been reported to induce immune system malfunction and the over-secretion of cytokines and chemotactic factors that can destroy immunologic tolerance.[3-5] T lymphocytes, especially CD4+ T lymphocytes, play a central role in immune protection through their capacity to assist B cells.[6] Previous studies showed that type 1 T helper (Th1) and Th2 cells were increased in COPD patients compared with healthy controls.[7,8] Th1 cells mainly secrete interleukin (IL)-2 and interferon (IFN)-γ which mediate cellular immunity, while Th2 cells secrete IL-4 and IL-10 that mediate humoral immunity. Moreover, only IFN-γ/IL-4 and IFN-γ/IL-2 ratios have been compared between AECOPD and stable COPD patients,[9] while the relevance of changes in the Th1/Th2 ratio in AECOPD remains unclear. Besides Th1 and Th2 lymphocytes, Th17 cells, which produce IL-17, have recently been identified as a subset of CD4+ Th cells.[10] In animal experiments, Th-17 cells were shown to protect the host from respiratory infections by producing a variety of cytokines and chemokines.[11,12] Previous reports have shown that IL-17 levels are significantly increased in the bronchial submucosa of COPD patients.[13] However, the mechanism of action of IL-17 in AECOPD remains to be elucidated. A number of studies reported that patients with smoking-induced COPD have high serum immunoglobulin E (IgE) levels. This in turn was confirmed to be associated with the development of COPD.[14] Additionally, IgE has the capacity to induce the production of Th2-type cytokines and the development of airway inflammation and hyper-responsiveness in mice.[15-18] However, the role of IgE in AECOPD is still unclear. Therefore, the purpose of this study was to analyze levels of IL-2, IFN-γ, IL-4, IL-10, IL-17, and IgE in AECOPD and stable COPD patients to determine whether a correlation exists between Th1/Th2 and IL-17/IgE ratios in AECOPD.

Materials and methods

Study subjects

A total of 245 patients diagnosed with AECOPD, 193 patients who progressed to stable COPD after the initiation of treatment, and 50 healthy controls were enrolled in this investigation. All patients were evaluated according to 2015 diagnostic criteria of the Global Initiative for Chronic Obstructive Lung Disease (GOLD) as follows: 1) COPD: patients with difficulty in breathing, with a cough, sputum, and pulmonary function testing showing a post-bronchodilator forced expiratory volume in 1 s (FEV1)/forced vital capacity ratio <70% and FEV1 <80%; 2) AECOPD: a sudden worsening of COPD symptoms (shortness of breath, quantity and color of phlegm) that typically last for several days; and 3) Controls: COPD-free individuals with normal pulmonary function. Airflow obstruction was determined by spirometry. Biological specimens and clinical datasets were obtained from patients with COPD and who were enrolled in the study. Each patient was given a COPD assessment test (CAT)[19] and a questionnaire with eight questions concerning the presence of coughing, sputum, chest distress, asthma, and activity limitations caused by COPD at home and outdoors. For each question, a score of 0–5 was selected by the patients. The total score (0–10: slight effect; 11–20: median effect; 21–30: severe effect; 31–40: extreme severe effect) was then calculated to determine the effect of COPD on the daily activity level. A modified UK Medical Research Council (mMRC)[20] evaluation was used to assess dyspnea levels in COPD patients. An mMRC score of ≥2 was considered to be an indication of severe dyspnea. Patients using oral steroids, with apparent infections (urinary tract infections or pneumonia) or signs of sepsis, or who had chronic diseases such as diabetes, renal failure, cancer, or any other respiratory diseases were excluded from the study. This study was approved by the human research ethics committee of Beijing Chaoyang Hospital affiliated with Capital Medical University (reference number: 2014-KE-124); consent forms were obtained from each patient upon admission to the emergency department.

Peripheral blood assays

Peripheral venous blood samples (5 ml) were collected from each patient when they were enrolled in the investigation. The blood was centrifuged at 724 × g for 20 min to separate the serum, which was stored at −80°C for subsequent analysis.

Cytokine enzyme-linked immunosorbent assay

Levels of IL-2, IFN-γ, IL-4, IL-10, IL-17, and IgE were determined by enzyme-linked immunosorbent assay according to the manufacturer’s recommendations (Cloud-Clone Corp., Houston, TX).

Statistical analysis

SPSS software (SPSS Inc., Chicago, IL, USA) was used to analyze data. Normally distributed data were expressed as means ± standard deviation, while those with a non-normal distribution were expressed as median values (with upper and lower quartiles). Comparisons were made by a rank-sum test (Kruskal–Wallis test). P values < 0.05 were considered statistically significant.

Results

Patient findings

A summary of patient demographics and clinical characteristics is shown in Table 1. All AECOPD and COPD patients were treated with aminophylline, ambroxol hydrochloride, long-acting anticholinergic drugs, and long-acting β2 receptor agonists. There was no significant difference in medicine dosage between the two groups. No significant difference in patient age was found between control and AECOPD groups. There were significantly more smokers in the AECOPD group compared with the control group (P=0.02; Table 1).
Table 1.

Patient demographic and clinical characteristics

Variable
Group
P-value
AECOPD (n=245)COPD (n=193)Control (n=50)
Age (years), mean ± SD60.21±11.1858.37±11.920.6321
Male/Female175/7028/220.0157
Smokers (%)169 (68.98)16 (32)0.0219
Obesity (BMI > 25) (%)39 (15.92)12 (24)0.3521
Ambroxol hydrochloride (mg/day)44.45±2.8244.32±3.110.3090
Aminophylline (g/day)0.59±0.120.58±0.120.1023
Budesonide/Formoterol60 µg/4.5 µg60 µg/4.5 µg
Tiotropium bromide, Spiriva Respimat®1 daily dose1 daily dose

AECOPD, acute exacerbation of chronic obstructive pulmonary disease; BMI, body mass index.

Patient demographic and clinical characteristics AECOPD, acute exacerbation of chronic obstructive pulmonary disease; BMI, body mass index. In AECOPD patients, pulmonary function deteriorated significantly compared with stable COPD patients (P<0.001; Table 2). Lung function in COPD patients was assessed using GOLD, CAT, and mMRC questionnaires. As shown in Figure 1, the higher the grade or score, the greater the deterioration in AECOPD patients.
Table 2.

Comparison of pulmonary function in AECOPD and stable COPD

Variable
AECOPD (n=245)

Stable COPD (n=193)
χ2 P-value
SubjectsRatio (%)SubjectsRatio (%)
GOLD (grade)20.691<0.001
 141.6455.66
 24920.007337.72
 318274.2811455.91
 4104.0810.71
CAT (score)3.8480.05
 0–103715.102315.04
 11–205823.677034.69
 21–3013253.889849.13
 31–40187.3521.14
mMRC (score)26.517<0.001
 0–18333.8811354.29
 ≥216266.128045.71
Pulmonary function74.728<0.001
 A83.262516.57
 B6225.7110952.22
 C15964.495730.07
 D166.5321.14

AECOPD, acute exacerbation of chronic obstructive pulmonary disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease; CAT, COPD assessment test; mMRC, modified Medical Research Council. A, B, C, and D rank the lung function in patients with COPD, see Table 3.

Figure 1.

Comprehensive assessment of lung function in COPD patients. A, fewer symptoms and low risk; B, more symptoms and low risk; C, fewer symptoms and high risk; D, more symptoms and high risk.

Comparison of pulmonary function in AECOPD and stable COPD AECOPD, acute exacerbation of chronic obstructive pulmonary disease; GOLD, Global Initiative for Chronic Obstructive Lung Disease; CAT, COPD assessment test; mMRC, modified Medical Research Council. A, B, C, and D rank the lung function in patients with COPD, see Table 3.
Table 3.

Comparison of cytokines between AECOPD, stable COPD and control groups

VariableGroupMean conc. (pg/mL)Mean rank χ2 dfP-value
IL-295.172<0.001
Control541.0730.63
Stable COPD906.3597.33
AECOPD1086.65140.16
IFN-γ90.4172<0.001
Control570.4729.05
Stable COPD940.51104.13
AECOPD1067.38137.20
IL-4
97.2642<0.001
Control167.1527.23
Stable COPD310.09105.17
AECOPD354.24135.82
IL-1035.7822<0.001
Control186.2962.93
Stable COPD236.9497.06
AECOPD272.42128.82
IL-1730.0172<0.001
Control275.5962.23
Stable COPD338.24106.33
AECOPD361.75124.98
IgE120.8862<0.001
Control189.7923.93
Stable COPD355.9592.41
AECOPD445.77146.43

AECOPD, acute exacerbation of chronic obstructive pulmonary disease; Conc., concentration; df, degrees of freedom; IL, interleukin; IFN, interferon; Ig, immunoglobulin.

Comprehensive assessment of lung function in COPD patients. A, fewer symptoms and low risk; B, more symptoms and low risk; C, fewer symptoms and high risk; D, more symptoms and high risk.

IL-2, IFN-γ, IL-4, IL-10, IL-17 and IgE increase in COPD patients

The levels of cytokines IL-2, IL-4, IL-10, IL-17, IFN-γ, and IgE were significantly higher in AECOPD patients compared with stable COPD and control groups (all P<0.001; Table 3). Analysis of all data by rank sum test indicated that IgE increased obviously from A to D in the AECOPD group (Table 4). Gaussian distribution was used to show that the data were not normally distributed (Tables 5, and 6).
Table 4.

Gaussian distribution for the concentration of cytokines between severities of AECOPD

Variables
Central tendency and discrete tendency
Std. devMedianRangeP5–P95 Sk Ku
IL-2
 A204.43868.57399.83410.08 – 1425.731.023
 B216.051023.90834.03934.40 – 1105.330.551−0.373
 C212.371098.78966.181070.77 – 1173.580.057−0.518
 D67.871068.57205.831008.75 – 1134.280.4300.276
IFN-γ
 A32.591020.2464.9935.79 – 1097.72−0.475
 B209.171074.43823.34970.17 – 1135.66−0.008−0.542
 C198.221101.46957.941026.69 – 1121.92−0.061−0.258
 D285.661005.21834.96812.40 – 1340.800.6170.146
IL-4
 A61.23382.00119.83244.49 – 548.721.01
 B42.89358.00217.87343.20 – 377.130.4480.872
 C52.96350.59324.53339.97 – 365.81−0.4762.007
 D24.51330.1874.67303.51 – 348.86−0.5180.202
IL-10
 A35.48262.3670.47169.45 – 345.72−0.595
 B72.17260.16250.40239.99 – 297.090.574−0.643
 C62.12279.66305.19263.85 – 293.690.0940.042
 D75.80224.67204.53160.97 – 301.170.291−1.060
IL-17
 A210.90304.74400.71−143.12 – 904.701.412
 B77.20403.75304.50384.33 – 445.40−0.332−0.035
 C81.87417.78349.10379.05 – 418.38−0.274−0.398
 D80.33438.30250.09370.28 – 518.870.4260.533
IgE
 A18.65301.9234.89247.96 – 340.64−1.532
 B20.74346.2370.47333.80 – 350.200.082−1.049
 C42.38440.27159.11431.68 – 452.040.608−0.309
 D20.43545.9256.53536.35 – 574.141.7162.988

A, less symptoms and low risk; B, more symptoms and low risk; C, less symptoms and high risk; D, more symptoms and high risk. (As shown in the figure 1).

Table 5.

Gaussian distribution of cytokine concentrations in AECOPD, stable COPD, and control groups

Variable
Central tendency and discrete tendency
GroupSDMedianRangeP5–P95 Sk Ku
IL-2
AECOPD211.221070.81966.181045.78–1127.530.199−0.511
Stable COPD211.17897.50948.96854.44–958.260.6090.150
Control203.80540.57725.67475.89–606.250.195−0.914
IFN-γ
AECOPD202.801090.19967.311028.32–1106.440.055−0.274
Stable COPD239.74969.881465.15881.58–999.451.1523.609
Control164.35561.03716.49517.91–623.030.3510.1080
IL-4
AECOPD49.86351.61324.53344.54–363.94−0.0682.363
Stable COPD84.40311.72375.04289.36–330.36−0.189−0.267
Control59.46159.62255.28148.14–185.180.525−0.162
IL-10
AECOPD65.51275.18305.19259.80–285.030.199−0.289
Stable COPD56.30240.02350.46223.10–250.780.2581.474
Control77.35200.53283.60161.56–211.03−0.189−0.748
IL-17
AECOPD78.85358.37369.99346.71–376.790.087−0.574
Stable COPD81.04337.76322.23318.32–358.160.353−0.820
Control58.94285.70277.66256.74–294.44−1.0021.460
IgE
AECOPD64.97446.36294.92433.26–458.29−0.068−0.330
Stable COPD84.14336.01403.84335.26–376.630.5260.236
Control59.22184.77254.58170.85–208.730.6170.075

AECOPD, acute exacerbation of chronic obstructive pulmonary disease; IL, interleukin; IFN, interferon; Ig, immunoglobulin; Sk, skewness; Ku, kurtosis.

Table 6.

Comparison of cytokines between different grades of AECOPD

VariablesConcn. Mean (pg/mL)Mean Rankχ2df P-value
IL-26.0823>0.05
 A917.9130.67
 B1019.8643.43
 C1122.1857.93
 D1071.5251.57
IFN-γ0.7643>0.05
 A1016.7641.33
 B1052.9251.41
 C1074.3054.97
 D1076.6052.29
IL-45.7683>0.05
 A396.6173.33
 B360.1655.11
 C352.8952.93
 D326.1929.36
IL-103.2883>0.05
 A257.5846.33
 B268.5450.06
 C278.7856.82
 D231.0737.14
IL-172.3903>0.05
 A380.7940.67
 B414.8657.41
 C398.7251.30
 D444.5765.57
IgE74.2813<0.001
 A294.302.00
 B342.0017.00
 C441.8665.00
 D555.24103.00

A, less symptoms and low risk; B, more symptoms and low risk; C, less symptoms and high risk; D, more symptoms and high risk. (As shown in the figure 1).

Comparison of cytokines between AECOPD, stable COPD and control groups AECOPD, acute exacerbation of chronic obstructive pulmonary disease; Conc., concentration; df, degrees of freedom; IL, interleukin; IFN, interferon; Ig, immunoglobulin. Gaussian distribution for the concentration of cytokines between severities of AECOPD A, less symptoms and low risk; B, more symptoms and low risk; C, less symptoms and high risk; D, more symptoms and high risk. (As shown in the figure 1). Gaussian distribution of cytokine concentrations in AECOPD, stable COPD, and control groups AECOPD, acute exacerbation of chronic obstructive pulmonary disease; IL, interleukin; IFN, interferon; Ig, immunoglobulin; Sk, skewness; Ku, kurtosis. Comparison of cytokines between different grades of AECOPD A, less symptoms and low risk; B, more symptoms and low risk; C, less symptoms and high risk; D, more symptoms and high risk. (As shown in the figure 1).

Th1/Th2 and IL-17/IgE ratios in COPD patients

The Th1/Th2 ratio was calculated to determine the skew of Th1/Th2 cell polarity. The ratios of IFN-γ/IL-10 and IL-2/IL-10 in AECOPD patients were significantly lower than those in stable COPD patients and controls, while IFN-γ/IL-4 was lower than in controls. However, these ratios were not significantly different between stable COPD patients and controls. The IL-17/IgE ratio was significantly decreased (P<0.001) in AECOPD patients because of improved IgE levels (Tables 7, 8). Analysis of the correlation between cytokine ratios and clinical outcomes showed that AECOPD patients with IL-2/IL-10 ratios >4.18 and IL-17/IgE ratios <0.82 had more ICU admissions, longer hospital stays, higher mortality rates, and more readmissions in 30 and 90 days (Table 9).
Table 7.

Gaussian distribution of Th1/Th2 ratio changes in AECOPD, stable COPD, and control groups

VariableGroup
Central tendency and discrete tendency
Std. devMedianRangeP5–P95 Sk Ku
IFN-γ/IL-10
AECOPD1.353.978.393.90–4.421.3474.112
Stable COPD1.513.7911.713.76–4.514.40225.886
Control4.182.7720.612.92–5.602.9679.541
IFN-γ/IL-4
AECOPD0.773.014.572.92–3.221.2272.895
Stable COPD1.262.946.062.97–3.591.1551.368
Control2.193.6310.143.28–4.681.4912.779
IL-2/IL-10
AECOPD1.214.036.103.94–4.421.0661.748
Stable COPD1.423.6110.693.65–4.353.79819.991
Control2.662.8612.582.77–4.472.3225.896
IL-2/IL-4
AECOPD0.853.096.552.97–3.302.12610.649
Stable COPD1.302.786.572.87–3.501.5773.178
Control1.513.186.053.01–3.970.8670.373
IL-17/IgE
AECOPD0.170.820.790.78–0.850.085−0.610
Stable COPD0.350.941.740.92–1.091.1831.732
Control0.391.441.531.40–1.650.709−0.076

AECOPD, acute exacerbation of chronic obstructive pulmonary disease; IL, interleukin; IFN, interferon; Ig, immunoglobulin.

Table 8.

Comparison of Th1/Th2 ratio changes in AECOPD, stable COPD, and control groups

VariablesGroupMeanMean rank χ2 dfP-value
IFN-γ/IL-1011.62120.003
Control4.2676.93
Stable COPD4.14111.00
AECOPD4.16114.86
IFN-γ/IL-44.33620.114[a]
Control3.98123.23
Stable COPD3.28103.45
AECOPD3.0799.98
IL-2/IL-1019.8442<0.001
Control3.6270.68
Stable COPD4.00103.53
AECOPD4.18121.01
IL-2/IL-41.45020.484
Control3.49113.00
Stable COPD3.1898.85
AECOPD3.13106.84
IL-17/IgE83.712<0.001
Control1.52180.95
Stable COPD1.00108.92
AECOPD0.8276.9

AECOPD, acute exacerbation of chronic obstructive pulmonary disease; df, degrees of freedom; IL, interleukin; IFN, interferon; Ig, immunoglobulin.

aP<0.05, AECOPD vs Control.

Table 9.

Correlation of cytokine ratios and clinical outcomes in AECOPD


AECOPD
IL-2/IL-10 < 4.18IL-2/IL-10 > 4.18
++
Clinical outcomeTotalIL-17/IgE > 0.82IL-17/IgE < 0.82P-value
ICU admission (%)24562 (25.31)183 (74.69)0.015
Length of stay in hospital (days)15.4±3.87.8±1.117.5±3.50.028
Length of stay in ICU (days)8.2±1.37.1±0.89.5±1.20.137
30-day mortality (%)18 (7.35)5 (27.78)13 (72.22)0.035
90-day mortality (%)31 (12.65)9 (29.03)22 (70.97)0.031
In hospital mortality52 (21.22)14 (26.92)38 (73.08)0.025
30-day readmission34 (13.88)11 (32.35)23 (67.65)0.037
90-day readmission10 (4.08)4 (40.00)6 (60.00)0.081

AECOPD, acute exacerbation of chronic obstructive pulmonary disease; ICU, intensive care unit; IL, interleukin; Ig, immunoglobulin.

Gaussian distribution of Th1/Th2 ratio changes in AECOPD, stable COPD, and control groups AECOPD, acute exacerbation of chronic obstructive pulmonary disease; IL, interleukin; IFN, interferon; Ig, immunoglobulin. Comparison of Th1/Th2 ratio changes in AECOPD, stable COPD, and control groups AECOPD, acute exacerbation of chronic obstructive pulmonary disease; df, degrees of freedom; IL, interleukin; IFN, interferon; Ig, immunoglobulin. aP<0.05, AECOPD vs Control. Correlation of cytokine ratios and clinical outcomes in AECOPD AECOPD, acute exacerbation of chronic obstructive pulmonary disease; ICU, intensive care unit; IL, interleukin; Ig, immunoglobulin.

Discussion

There are conflicting reports regarding changes in cytokines levels in COPD patients. However, systemic and local changes may be an indicator of disease severity. The rapid deterioration in lung function associated with AECOPD is, for the most part, associated with bacterial infections. Systemic inflammation is considered one of the major pathophysiological causes of AECOPD. In this study, we compared levels of cytokines and ratios of Th1/Th2 and IL-17/IgE between patients with AECOPD and those with stable COPD. Our results demonstrated that cytokine and IgE secretion from Th1, Th2, and Th17 cells is correlated with disease severity, as shown by mortality rates and hospital admissions. The ratios of Th1/Th2 and IL-17/IgE can be considered Th indexes that indicate the severity of AECOPD according to clinical outcome. We found that patients with AECOPD have low Th1/Th2 and IL-17/IgE ratios even though Th1, Th2, and Th17 cells and IgE levels were all increased during AECOPD. CD4+ T cells can differentiate into either Th1 or Th2 cells, depending on the type of cytokines they produce. Th1 cells mainly secrete IL-2, IFN-γ, and tumor necrosis factor (TNF)-β.[21] A previous study revealed an increased number of IFN-γ-producing lymphocytes and a stronger IFN-γ signal in the lungs of COPD patients.[22] A significant increase in IL-2 and IFN-γ levels was also observed in COPD patients in another investigation.[23] In the present study, abundant levels of IL-2 and IFN-γ were induced in AECOPD patients, which were significantly higher than in control and stable COPD groups. Additionally, IL-2 levels in AECOPD without viral infections were previously shown to be higher than in the control group.[24] These data indicate that the number or function of Th1 cells may be enhanced during AECOPD progression. Th2 cells mainly secrete IL-4, IL-10, and IL-6, which stimulate the proliferation of B lymphocytes to produce IgG and IgE, and mediate humoral immunization.[25] Additionally, high levels of IL-4 can aggravate COPD by activating invariant natural killer T cells.[26] IL-10 is a classical stimulator of B lymphocytes[27] that suppresses Th1 cells to produce TNF-α, IL-2, and IFN-γ by inhibiting the expression of nuclear factor-κB, which is a key inflammatory transcription factor. Our results showed that IL-4 and IL-10 levels were significantly higher in the AECOPD group than in stable COPD and control groups, though levels did not increase in line with the severity of AECOPD. Additionally, IL-4 was found to be dramatically increased in Mycoplasma pneumoniae-induced airway diseases, including AECOPD.[28] Moreover, Hackett et al.[29] demonstrated that IL-10 increased between 24–48 h after lipopolysaccharide was injected in an AECOPD model. These data indicate that cytokines secreted by Th2 cells play an important role in reducing inflammation. Previous studies reported increased IL-17 levels in AECOPD patients, which may lead to neutrophil recruitment and infiltration into inflammatory sites, finally aggravating AECOPD by stimulating lung microvascular endothelial cells to produce CXCL8 (IL-8), E-selectin, vascular cell adhesion molecule-1, and intercellular adhesion molecule-1. Thus, IL-17 is a key starter of neutrophilic inflammation.[30] In this study, we found that IL-17 was increased in AECOPD compared with stable COPD or control groups. These data suggested that IL-17 may induce acute inflammation, recruit Th17 cells, and activate Th1 cells to promote a cellular immune response, thus converting AECOPD to stable COPD. Because asthma and COPD share the same pathological characteristics,[31] we speculate that elevated serum IgE levels might result in more serious symptoms and reduced lung function. Previous studies confirmed that Th cells and their associated cytokines play an important role in IgE synthesis.[32] IL-4 increases the level of IgE, while IFN-γ inhibits it,[33] indicating that both Th1 and Th2 cells regulate the secretion of IgE. The balance of Th1/Th2 may therefore be the crucial factor in the regulation of IgE. In this study, we found that IgE, IL-4, and IL-10 increased in AECOPD, suggesting that the immune response in this case was predominantly caused by Th2 cells. Hyper-activated Th2 cells may secrete excess IL-4 and IL-10 cytokines, thus raising IgE levels[34] and leading to airway hyper-responsiveness. We also found that the levels of IL-17 and IgE increased and the IL-17/IgE ratio decreased in AECOPD patients, while IgE secretion remarkably increased from A to D in the AECOPD group; together these indicate that IgE is further induced in AECOPD. Generally, the Th1/Th2 ratio is maintained in a dynamic balance, but it becomes skewed and the polarity shifts to one side when the body reacts to foreign antigens.[35] Our results suggest that IL-4 activates Th2 cells and inhibits Th1 proliferation. Hence, Th2 cells had a greater influence than Th1 cells in shifting the Th1/Th2 ratio polarity to the Th2 side. Similar results were also observed by Tsoumakidou et al.[36] A possible explanation for the Th1/Th2 shift could be microbial infection, which induces Th2 cell activation and proliferation.[37,38] Th2 cells then enhance IgE secretion by activating B lymphocytes. Furthermore, the Th1/Th2 shift results in an increased IgE production and low IL-17/IgE ratio; hence, the ratios of Th1/Th2 (especially IL-2/IL-10) and IL-17/IgE might be considered a Th index that represents the severity of AECOPD. Our clinical outcome data showed that lower ratios of IL-2/IL-10 and IL-17/IgE aggravate AECOPD despite increased levels of IgE and Th1, Th2, and Th17 cells. However, a larger sample size is needed to support the viewpoint that the Th index could be used to assess AECOPD severity.

Conclusion

In this study, we investigated cytokines secreted by Th1, Th2, and Th17 cells in COPD patients, and found that IL-2, IFN-γ, IL-4, IL-10, IL-17, and IgE were all increased in AECOPD patients compared with stable COPD and control groups. Moreover, a high IL-2/IL-10 ratio and low IL-17/IgE ratio were closely correlated with the severity of AECOPD. Click here for additional data file. Supplemental material for Changes in Th1/Th2-producing cytokines during acute exacerbation chronic obstructive pulmonary disease by Bing Wei, Chun Sheng Li in Journal of International Medical Research
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1.  Cutting edge: roles of Toll-like receptor 4 and IL-23 in IL-17 expression in response to Klebsiella pneumoniae infection.

Authors:  Kyle I Happel; Mingquan Zheng; Erana Young; Lee J Quinton; Euan Lockhart; Alistair J Ramsay; Judd E Shellito; Jill R Schurr; Gregory J Bagby; Steve Nelson; Jay K Kolls
Journal:  J Immunol       Date:  2003-05-01       Impact factor: 5.422

2.  CD4-regulatory cells in COPD patients.

Authors:  Lucy J C Smyth; Cerys Starkey; Jorgen Vestbo; Dave Singh
Journal:  Chest       Date:  2007-05-15       Impact factor: 9.410

3.  IL-4 inhibits the synthesis of IFN-gamma and induces the synthesis of IgE in human mixed lymphocyte cultures.

Authors:  D Vercelli; H H Jabara; R P Lauener; R S Geha
Journal:  J Immunol       Date:  1990-01-15       Impact factor: 5.422

4.  A Tale of 2 Tails: The Interpretation of Changes in Allergen-Specific IgE Following Incidental Allergen Exposure.

Authors:  Rob C Aalberse; Theo Rispens
Journal:  J Allergy Clin Immunol Pract       Date:  2016 Mar-Apr

5.  Alterations of plasma inflammatory biomarkers in the healthy and chronic obstructive pulmonary disease patients with or without acute exacerbation.

Authors:  Hong Chen; Yaoli Wang; Chunxue Bai; Xiangdong Wang
Journal:  J Proteomics       Date:  2012-02-10       Impact factor: 4.044

Review 6.  T helper cells plasticity in inflammation.

Authors:  Lorenzo Cosmi; Laura Maggi; Veronica Santarlasci; Francesco Liotta; Francesco Annunziato
Journal:  Cytometry A       Date:  2013-09-05       Impact factor: 4.355

7.  Expression of interleukin (IL)-10, IL-17A and IL-22 in serum and sputum of stable chronic obstructive pulmonary disease patients.

Authors:  Li Zhang; Zhenshun Cheng; Weimin Liu; Kaisong Wu
Journal:  COPD       Date:  2013-03-28       Impact factor: 2.409

Review 8.  IL-23 and IL-17 in tuberculosis.

Authors:  Shabaana A Khader; Andrea M Cooper
Journal:  Cytokine       Date:  2008-01-22       Impact factor: 3.861

9.  Mycoplasma pneumoniae modulates STAT3-STAT6/EGFR-FOXA2 signaling to induce overexpression of airway mucins.

Authors:  Yonghua Hao; Zhizhou Kuang; Jia Jing; Jinfeng Miao; Li Yu Mei; Ryan J Lee; Susie Kim; Shawn Choe; Duncan C Krause; Gee W Lau
Journal:  Infect Immun       Date:  2014-10-06       Impact factor: 3.441

10.  Phenotypic characterisation of T-lymphocytes in COPD: abnormal CD4+CD25+ regulatory T-lymphocyte response to tobacco smoking.

Authors:  B Barceló; J Pons; J M Ferrer; J Sauleda; A Fuster; A G N Agustí
Journal:  Eur Respir J       Date:  2007-12-05       Impact factor: 16.671

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  20 in total

1.  FIZZ2 as a Biomarker for Acute Exacerbation of Chronic Obstructive Pulmonary Disease.

Authors:  Ying Zhou; Yingying Qiao; Ian M Adcock; Jun Zhou; Xin Yao
Journal:  Lung       Date:  2021-10-22       Impact factor: 2.584

2.  Immunophenotype in acute exacerbation of chronic obstructive pulmonary disease: a cross-sectional study.

Authors:  Xiao-Feng Xiong; Min Zhu; Hong-Xia Wu; Li-Li Fan; De-Yun Cheng
Journal:  Respir Res       Date:  2022-05-28

3.  Zhuye Shigao Decoction Combined with Qingqi Huatan Pills in Alleviating the Acute Exacerbation of Chronic Obstructive Pulmonary Disease (Phlegm-Heat Stagnating in the Lungs) via the IL-6-Mediated JAK1/STAT3 Signaling Pathway.

Authors:  Yunkun Chen; Wenbin Zhang
Journal:  Evid Based Complement Alternat Med       Date:  2022-05-06       Impact factor: 2.650

4.  An Insight into COPD Morphopathogenesis: Chronic Inflammation, Remodeling, and Antimicrobial Defense.

Authors:  Zane Vitenberga; Māra Pilmane; Aurika Babjoniševa
Journal:  Medicina (Kaunas)       Date:  2019-08-17       Impact factor: 2.430

5.  Nasal Cytokine Profiles of Patients Hospitalised with Respiratory Wheeze Associated with Rhinovirus C.

Authors:  Chisha T Sikazwe; Ingrid A Laing; Allison Imrie; David W Smith
Journal:  Viruses       Date:  2019-11-07       Impact factor: 5.048

Review 6.  [Research Progress of Treg/Th17 in the Treatment of Chronic Obstructive Pulmonary Disease with Lung Cancer].

Authors:  Jinhua Zhou; Wei Wang; Ruijuan Liu
Journal:  Zhongguo Fei Ai Za Zhi       Date:  2019-12-20

Review 7.  Immunomodulatory Effects of Hydrolyzed Seawater Pearl Tablet (HSPT) on Th1/Th2 Functionality in a Mice Model of Chronic Obstructive Pulmonary Disease (COPD) Induced by Cigarette Smoke.

Authors:  Zhenxing Chen; Qiangqiang Yan; Zhongmin Zhang; Taijin Lan; Peng Liu; Siyin Han; Yong Lin; Jiang Lin
Journal:  Evid Based Complement Alternat Med       Date:  2020-11-18       Impact factor: 2.629

8.  Dual interleukin-17A/F deficiency protects against acute and chronic response to cigarette smoke exposure in mice.

Authors:  Hiroo Wada; Masuo Nakamura; Shin-Ichi Inoue; Akihiko Kudo; Tomoko Hanawa; Yoichiro Iwakura; Fumie Kobayashi; Hiroshi Kamma; Shigeru Kamiya; Kazuhiro Ito; Peter J Barnes; Hajime Takizawa
Journal:  Sci Rep       Date:  2021-06-01       Impact factor: 4.379

9.  Impact of a Positive Viral Polymerase Chain Reaction on Outcomes of Chronic Obstructive Pulmonary Disease (COPD) Exacerbations.

Authors:  Kulothungan Gunasekaran; Mudassar Ahmad; Sana Rehman; Bright Thilagar; Kavitha Gopalratnam; Sathish Ramalingam; Vijayakumar Paramasivam; Ashish Arora; Arul Chandran
Journal:  Int J Environ Res Public Health       Date:  2020-11-02       Impact factor: 3.390

10.  Distribution of COPD Comorbidities and Creation of Acute Exacerbation Risk Score: Results from SCICP.

Authors:  Haiyan Ge; Xuanqi Liu; Wenchao Gu; Xiumin Feng; Fengying Zhang; Fengfeng Han; Yechang Qian; Xiaoyan Jin; Beilan Gao; Li Yu; Hong Bao; Min Zhou; Shengqing Li; Zhijun Jie; Jian Wang; Zhihong Chen; Jingqing Hang; Jingxi Zhang; Huili Zhu
Journal:  J Inflamm Res       Date:  2021-07-15
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