Research Article - (2014) Volume 5, Issue 5
Objectives: Circulating cytokines and genetic patterns may help to discriminate certain asthma phenotypes.
Methods: Eighty two uncontrolled asthmatic children and twenty controls were enrolled in the study. After validation of asthma symptoms, three proposed phenotypes were formed: cough, Shortness Of Breath (SOB), and cough with SOB. Measurement of pulmonary function tests, Fractional Exhaled Nitric Oxide (FENO), eosinophilic percentage, serum levels of total IgE, IL-17 and IL-9 were done. Two Single-Nucleotide Polymorphisms (SNPs) in IL4 and IL4RA were genotyped using PCR-RFLP method.
Results: Regarding SNP IL4RA-175V, cases showed heterozygous AG predominance whereas controls showed more homozygous GG genotype. Cough group showed significant decrease in both FEV1/FVC ratio in comparison to SOB and cough with SOB groups. Also, this group showed strong inverse relationship between FEV1 values and serum IL-9. In addition, there was significant increase in serum levels of IL-17 among homozygous CC compared to CT heterozygous patients of SNP IL-4C 590T in both cough group and SOB group. Cough with SOB group showed significant increase of serum levels of IL-9 when compared to cough group. Also, it showed elevated serum level of IL-9 compared to the other two phenotypes among individuals with IL4RA 175V AA and GG genotypes. SOB group showed higher prevalence of TT genotype of SNP IL-4C 590T in comparison to the cough group.
Conclusions: Our data show diversity in genotyping and cytokine profiles between asthma as a group and the proposed clinical phenotypes. This diversity clarifies the importance of classifying asthma depending on the proposed symptomatology.
Keywords: Asthma; Phenotypes; Cytokines; Polymorphism; Children; Clinical; Egyptian
Asthma is one of the most common chronic diseases in the world. It is estimated that around 300 million people suffer from asthma worldwide and there may be an additional 100 million persons with asthma by 2025 [1]. The prevalence of bronchial asthma in the Nile Delta region of Egypt was found to be 7.7% [2].
Clinical experience and new genetic data have proved that asthma is a heterogeneous clinical syndrome in which clinical cases emerge, proceed and respond to treatments differently [3]. Determination of serum cytokine levels in asthmatic patients could have potential utility in diagnosis of asthma and certain phenotypes, in prediction of attacks, and treatment choice [4].
In addition, asthma has a strong genetic component, and genome-wide association studies have identified variations in several genes that slightly increase the risk of disease [5]. Also, recent twin studies have investigated gene-enviromental interactions [6].The strength of applying specific phenotyping in the search for asthma susceptibility genes have been previously demonstrated [7]. However, the relative contribution of these genetic variants or Single Nucleotide Polymorphisms (SNPs) to clinical endpoints remains largely unknown [8].
The addition of a genetic or blood biomarker could move a phenotype towards the evolving term of “endotype”, defined as a subgrouping of disease associated with distinct functional or pathologic mechanisms [9]. Although there is a significant improvement in asthma treatment, the challenge remains to determine specific therapeutic strategy for appropriate phenotypes [10]. Thus, our hypothesis was to study the genotyping of asthmatic children with different clinical phenotypes and to evaluate the association of those genotypes with different airway inflammatory biomarkers aiming to characterize each phenotype.
This study is a cross-sectional, case-control study, comprising 20 controls (10 (7-14) years) and 82 uncontrolled atopic asthmatic children (9.5 (8-13) years). Cases and controls were recruited from Mansoura University Children Hospital, Mansoura, Egypt from 2010 to 2013. Asthma diagnosis and assessment of asthma control were done according to guidelines of global initiative for asthma management and prevention [11]. Informed consents for all participating children were obtained from their parents. The protocol of the study was approved by Ethical Committee of the Research of Mansoura Faculty of Medicine, Egypt.
The inclusion criteria for children to be part of the research were: presence of typical asthma symptoms (cough, shortness of breath, or wheezes), improvement with pre-bronchodilator FEV1 of ≥ 12% after nebulized salbutamol, Egyptian ethnic background in 3 generations, and absence of history of respiratory tract infection within 4 weeks of enrollment, absence of corticosteroid treatment within 4 weeks , absence of antihistamines treatment within 3 months, and absence of montelukast treatment within 2 weeks of enrollment. The criteria for healthy controls were: absence of the bronchial asthma, absence of allergic diseases in family medical records, absence of any chronic illness, serum level of common IgE<100 IU/ml, Egyptian ethnic background in 3 generations.
The exclusion criteria were as follows: asthmatic patients with comorbidities such as gastro-esophageal reflux, chronic cardiopulmonary disease, concurrent pneumonia, nasal polyps, obesity and patients under immunotherapy.
After clinical examination, and validation of asthma symptoms [12,13], three groups were formed:
• First group included 20 asthmatic children (9.6 ± 1.6 years) presented solely with cough without other symptoms such as dyspnea (shortness of breath) and wheezes [14].
• Second group included 30 asthmatic children (10.2 ± 2.3 years) presented solely with shortness of breath (SOB) (defined by the patient or the caregiver as chest tightness, labored breathing, difficulty in drawing sufficient breath, heavy breath) [15].
• Third group included 32 asthmatic children (9.6 ± 1.9 years) presented with cough as a predominant symptom associated with shortness of breath.
• In each group of patients, the presenting clinical phenotype has to be persistent for 4 weeks and those who had variable clinical presentation were excluded (7 cases from cough group, 6 cases from SOB group, and 5 cases from cough with SOB group)
Patients and controls underwent the following:
a. Collection of relevant medical history
b. Skin prick tests (done only for cases) for house dust mites, cat and dog epithelial cells, mold and mixed pollen antigens (Omega, Canada), together with negative (saline) and positive (0.5% histamine HCl) controls.
c. Fractional exhaled nitric oxide (FENO) was measured during the study visits using the Nobreath nitric oxide breath monitor (Bedfont, Egypt) according to American Thoracic Society online measurement standards adapted for children [16].
d. Pulmonary function tests were measured by spirometry and pick flourometric test for reversibility of bronchial obstruction [17].
e. Total serum IgE and eosinophilic percentage.
Cytokine profile.
Peripheral blood was collected from fasting participants in the morning. Serum levels of IL-17 and IL-9 were determined by ELISA (ELISA Crokit ko13207p, South Korea).
Genotyping study
Deoxyribonucleic acid (DNA) was isolated from 2 ml EDTA blood using a DNA extraction and purification kit (Fermentas Lithuania). Two polymorphisms in promoter regions of the cytokines genes were analyzed (IL4 C-590T and IL4RA 175V) in the studied asthmatic children and controls. Genotyping was performed by Polymerase Chain Reaction (PCR) followed by restriction endonuclease cleavage (Figures 1 and 2). The reference sequence of SNP (rs), primers, restriction enzymes, and digested products length of each SNP are described in table 1 [18]. All primers and restriction enzymes were purchased from (Fermentas, Lithuania).
SNP name | Rs Number |
Primers | Restriction enzymes | Digested product length |
---|---|---|---|---|
IL4C–590T | 2243250 | Forward 5’>ACTAGGCCTCACCTGATACG<3’ Reverse 5’>GTTGTAATGCAGTCCTCCTG<3’ |
BsmFI | TT: 254 bp CC: 210 bp, 44 bp CT: 254 bp, 210 bp, 44 bp |
IL-4RA175V | 1805010 | Forward 5’>GGCAGGTGTGAGGAGCATCC<3’ Reverse 5’>GCCTCCGTTGTTCTCAGGTA<3’ |
Rsal | AA: 273 bp GG: 254 bp, 19 bp AG: 273 bp, 254 bp, 19 bp |
Table 1: Overview of the SNP [18].
Statistical analysis
Data were processed and analyzed using the Statistical Package of Social Science (Version 10.0; SPSS, Inc., Chicago, IL). The frequency of studied allelic polymorphisms among cases was compared with that of controls describing number and percent of each and tested for positive association using Fisher’s exact test (modified chi-square test) and odds ratio (OR) with a minimum level of significance of 0.05.
Normality tests were done using the Shapiro test. Non-parametric Mann-Whitney U test was applied to compare median values and parametric independent T test and one way ANOVA were used to compare mean values of the other quantitative values.
Our study revealed statistically significant peculiarities associated with different clinical asthma phenotypes.
Subject characteristics
A total of 82 children with asthma were enrolled in this study. (Table 2) These included three groups
Cough group (n=20) | Shortness of breath group (n=30) | Cough and shortness of breath group (n=32) | P value | |
---|---|---|---|---|
Age in years | 9.6 ± 1.6 | 10.2 ± 2.3 | 9.6 ±1.9 | 0.8 |
Duration of asthma in years | 4.9±3.5 | 6.1±3.4 | 4.9±4 | 0.07 |
Sex | ||||
Male | 16(80%) | 16(53.3%) | 20 (62.5%) | 0.45 |
Female | 4(20%) | 14(46.7%) | 12(37.5%) | |
Residence | ||||
Rural | 16(80%) | 20(66.7%) | 25(78%) | 0.28 |
Urban | 4(20%) | 10(33.3%) | 7(22%) | |
Family history | ||||
Positive | 14(70%) | 22(73.3%) | 19(59.4%) | 0.61 |
Negative | 6(30%) | 8(26.7%) | 13(40.6%) | |
Allergic rhinitis | ||||
Positive | 7(35%) | 16(53.3%) | 17(53%) | 0.44 |
Negative | 13(65%) | 14(46.7%) | 15(47%) | |
Atopic dermatitis | ||||
Positive | 4(20%) | 7(23.3%) | 10(31%) | 0.64 |
Negative | 16(80%) | 23(76.7%) | 22(69%) | |
Parental smoking | ||||
Positive | 10(50%) | 14(46.7%) | 15(47%) | 0.7 |
Negative | 10(50%) | 16(53.3%) | 17(53%) | |
Consanguinity | ||||
Positive | 6(30%) | 10(33.3%) | 9 (28%) | 0.36 |
Negative | 14(70%) | 20(66.6%) | 23(72%) |
n=number of subjects. Data are expressed as mean ± standard deviation or number (percentage of total). P value assessed via one way ANOVA and Chi-square with Fisher's Exact for continuity correction. *Statistical significance was defined as P ≤ 0.05.
Table 2: Clinical characteristics of the studied asthmatic groups.
1- Cough phenotype group (number=20, mean age 9.6 ± 1.6). Duration of asthma symptoms was 4.9 ± 3.5 years. Eighty % of them were males and from rural areas, 70 % had positive family history of allergy, most of them had negative history of allergic rhinitis and atopic dermatitis (65% and 80% respectively), and 70% of them had negative consanguinity.
2- SOB phenotype group (number=20, mean age 10.2 ± 2.3). Duration of asthma symptoms was 6.1 ± 3.4 years, 66.7% of them were from rural areas, no specific sex predominance, and cases with positive allergic rhinitis were 53.3%.
3- Cough with SOB phenotype group (number=20, mean age 9.6 ± 1.9). Duration of asthma symptoms was 4.9±4 years and 78% of them were from rural areas.
Genotype and allele frequencies
IL-4RA 175 V polymorphism: IL-4RA AG at position 175 genotype in the patient group was significantly overrepresented in comparison with the control group (61.2% in patients vs. 35% in control, P=0.03) (Figure 3). In addition, this genotype was overrepresented in patients with positive family history of asthma (66.7% in patients vs. 35% in controls, P=0.01) and positive allergic rhinitis (61.2% in patients vs. 35% in control, P=0.02). In contrast, the frequency of IL-4RA GG at position 175 genotype in the patient group was significantly lower than the control group (7.5% in patients vs. 40% in controls, P=0.0007) (Table 3). Further, serum levels of IL-9 were found to be significantly elevated in cough with SOB phenotype group with IL-4RA AA and GG genotypes in comparison to the other three phenotypes with similar genotypes (Table 4).
Genotypes | Alleles | ||||
---|---|---|---|---|---|
GG N (%) |
AG N (%) |
AA N (%) |
G N (%) |
A N (%) |
|
Control (20) | 8 (40%) | 7 (35%) | 5 (25%) | 23 (57.5%) | 17 (42.5%) |
Asthmatics (80) | 6 (7.5%) | 49 (61.2%) | 25 (31.3%) | 61 (38%) | 99 (62%) |
P | 0.0007* | 0.03* | 0.5 | 0.02* | 0.02* |
OR (95%CI) |
0.12 (0.03-0.4) |
2.9 (1.1-8.1) |
1.4 (0.4-4.2) |
0.4 (0.2-0.9) |
2.2 (1.1-4.4) |
Positive family history (54) | 4 (7.4%) | 36 (66.7 %) | 14 (25.9%) | 44 (40.8%) | 64 (59.2%) |
P | 0.002* | 0.01* | 0.9 | 0.07 | 0.07 |
OR (95%CI) |
0.1 (0.03-0.5) |
3.7 (1.3-11) |
1.05 (0.3-3.4) |
0.5 (0.2-1.1) |
1.9 (0.9-4.1) |
Positive allergic rhinitis (39) | 3 (7.7%) | 26 (66.7%) | 10 (25.6%) | 32 (41%) | 46 (59%) |
P | 0.005* | 0.02* | 0.9 | 0.09 | 0.09 |
OR (95%CI) |
0.1 (0.02-0.5) |
3.7 (1.2-11.5) |
1 (0.3-3.6) |
0.5 (0.2-1.1) |
1.9 (0.9-4.2) |
Positive eczema (21) | 2 (9.5%) | 13 (61.9%) | 6 (28.6%) | 17 (40.5%) | 25 (59.5%) |
P | 0.03* | 0.08 | 0.7 | 0.1 | 0.1 |
OR (95%CI) |
0.1 (0.02-0.9) |
3 (0.8-11) |
1.2 (0.3-5) |
0.5 (0.2-1.2) |
2 (0.8-4.8) |
Significance using fisher's exact test. *Statistical significance was defined as P ≤0.05
Table 3: Frequency of IL-4RA 175V genotype and allelic polymorphisms among asthmatic cases compared to controls.
Cough group | SOB group | Cough with SOB group | Control | |||||
---|---|---|---|---|---|---|---|---|
IL4RA175V | IL-9 | IL4RA175V | IL-9 | IL4RA175V | IL-9 | IL4RA175V | IL-9 | |
G/G (n=3) | 29±3 | G/G (n=0) | G/G (n=3) | 88±58 | G/G (n=8) | 18±4.7 | P=0.009* | |
A/G (n=12) | 25 ± 11 | A/G (n=18) | 35±17 | A/G (n=20) | 39±29 | A/G (n=7) | 34±14 | P=0.1 |
A/A (n=5) | 28±17 | A/A (n=12) | 29±11 | A/A (n=9) | 85 ± 65 | A/A (n=5) | 42± 15 | P=0.05* |
P=0.8 | P=0.7 | P=0.3 | P=0.4 | |||||
IL4C-590T | IL-17 | IL4C-590T | IL-17 | IL4C-590T | IL-17 | IL4C-590T | IL-17 | |
C/C (n=3) | 267 ± 109 | C/C (n=3) | 263 ± 240 | C/C (n=3) | 65 ± 50 | C/C (n=4) | 79 ± 7.1 | P=0.2 |
C/T (n=15) | 120 ± 88 | C/T (n=17) | 108 ± 72 | C/T (n=24) | 154 ± 146 | C/T (n=14) | 88 ± 15 | P=0.3 |
T/T (n=2) | 57 ± 28 | T/T (n=10) | 129 ± 73 | T/T (n=5) | 137 ± 65 | T/T (n=2) | 103 ± 38 | P=0.5 |
P=0.06 P∏=0.04* |
P=0.5 | P=0.3 | P=0.5 |
Results are expressed as mean ± Standard deviation.P value based on one way ANOVA, and independent sample T test *Statistical significance was defined as P ≤ 0.05. PΠ for difference between CC, CT is significant (0.04*)
Table 4: Serum levels of IL-9 and IL-17 cytokines (pg/ml) in individuals with different genotypes of the IL-4RA 175V and IL-4C-590T genes in the three asthmatic phenotypes.
IL-4 C-590T polymorphism: IL-4C -590TT genotype was found to be increased in patients compared to controls (21.3% in patients vs. 10% in controls) but the recessive genetic model (genotype CC vs. genotype CT+TT) demonstrated insignificant association of the CT+TT genotype with asthma. In addition, our study illustrated the high incidence of the -590CT heterozygote genotype (67.5% in asthmatics and 70% in controls) (Figure 4). This CT heterozygote genotype was significantly overrepresented among male patients (P=0.01, OR=3.3, CI=1.2-8.9), and the TT homozygote variant was significantly overrepresented among female patients (P=0.02, OR=0.3, CI=0.1-0.8).
In cough phenotype group and SOB phenotype group, serum IL-17 levels were found to be significantly elevated among patients with -590CC genotype as compared to those with -590CT genotype (P=0.05,0.03 respectively) (Table 5). In SOB phenotype group, we observed an increase of the -590TT genotype in comparison to the cough group, although not reaching the statistical significance (P= 0.07).
Genotypes | Alleles | ||||
---|---|---|---|---|---|
CC N (%) |
CT N (%) |
TT N (%) |
C N (%) |
T N (%) |
|
Family history | |||||
Positive (54 ) | 7 (13%) | 38 (70.4%) | 9 (16.7%) | 52/108 (48.1%) | 56/108 (51.8%) |
Control (20) | 4 (20%) | 14 (70%) | 2 (10%) | 22/40 (55%) | 18/40 (45%) |
P | 0.45 | 0.9 | 0.4 | 0.4 | 0.4 |
OR,(95%CI) | 0.59 (0.15-2.3) |
1.01 (0.3-3.1) |
1.8 (0.3-9.1) |
0.76 (0.3-1.6) |
1.3 (0.6-2.7) |
Allergic rhinitis | |||||
Positive (39 ) | 3 (7.7%) | 28 (71.8%) | 8 (20.5%) | 34/78(43.5%) | 44/78(56.4%) |
Control (20) | 4 (20%) | 14 (70%) | 2 (10%) | 22/40 (55%) | 18/40 (45%) |
P | 0.2 | 0.8 | 0.3 | 0.24 | 0.24 |
OR,(95%CI) | 0.3 (0.06-1.6) |
1.1 (0.3-3.5) |
2.3 (0.4-12.1) |
0.6 (0.3-1.4) |
1.6 (0.7-3.4) |
Eczema | |||||
Positive (21) | 2 (9.5%) | 15 (71.4%) | 4 (19%) | 19/42(45.2%) | 23/42 (54.7%) |
Control (20) | 4 (20%) | 14 (70%) | 2 (10%) | 22/40 (55%) | 18/40 (45%) |
P | 0.3 | 0.9 | 0.4 | 0.37 | 0.37 |
OR,(95%CI) | 0.4 (0.06-2.6) |
1.1 (0.3-4.1) |
2.1 (0.3-13) |
0.67 (0.3-1.6) |
1.4 (0.6-3.5) |
Allergic march | |||||
Positive (17) | 1 (5.9%) | 12 (70.6%) | 4 (23.5%) | 14/34(41.2%) | 20/34 (58.8%) |
Control (20) | 4 (20%) | 14 (70%) | 2 (10%) | 22/40 (55%) | 18/40 (45%) |
P | 0.2 | 0.9 | 0.3 | 0.23 | 0.23 |
OR,(95%CI) | 0.25 (0.02-2.4) |
1.02 (0.2-4.2) |
2.7 (0.4-17.4) |
0.57 (0.2-1.4) |
1.7 (0.7-4.4) |
Parental smoking | |||||
Positive (38) | 4 (10.5%) | 26 (68.4%) | 8 (21.1%) | 34/76(44.7%) | 42/76 (55.3%) |
Control (20) | 4 (20%) | 14 (70%) | 2 (10%) | 22/40 (55%) | 18/40 (45%) |
P | 0.3 | 0.9 | 0.3 | 0.3 | 0.3 |
OR,(95%CI) | 0.47 (0.1-2.1) |
0.9 (0.3-3) |
2.4 (0.4-12.5) |
0.6 (0.3-1.4) |
1.5 (0.7-3.2) |
Significance using fisher's exact test *Statistical significance was defined as P ≤ 0.05.
Table 5: Frequency of IL-4 C-590T genotype and allelic polymorphisms among asthmatic cases compared to controls with their statistical significance.
Laboratory biomarkers and PFTs
The median serum levels of IL-17, IL-9, total IgE, and peripheral eosinophilic percentage were significantly elevated in patients in comparison to controls (P=0.03, 0.003, <0.0001, <0.0001 respectively). The cough with SOB group showed significant increase in serum IL-9 and peripheral eosinophilic percentage compared to cough group (P=0.02, and 0.002 respectively) (Table 6). As regard the cough group, significant decrease in FEV1/FVC ratio was noticed when compared to the other two groups (P=0.01). Finally, the SOB group showed significant increase in FENO values in comparison to the other groups (P<0.0001). In addition, it showed more frequent association with allergic rhinitis (60%) and atopic dermatitis (35%) compared to the other groups (Table 2).
Cough group | Cough and SOB group | P value | |
---|---|---|---|
Serum IL-17 (pg/ml) | 99 (74-167) | 117 (83-160) | 0.84 |
Serum IL-9(pg/ml) | 26.1 ± 11.9 | 50± 43 | 0.02* |
Serum IgE (IU/ml) | 293 (100-605) | 241 (97-512) | 0.9 |
Eosinophilic % | 1 (1-2) | 3 (2-4) | 0.002* |
SOB: Shortness of breath; IL: Interleukin; pg: Picogram; IgE: Immunoglobulin E. Data are expressed as median (range) and mean ± standard deviation P value based on Mann-Whitney test and independent T-test *Statistical significance was defined as P ≤ 0.05
Table 6: Biochemical markers of cough group versus cough and shortness of breath group.
We previously hypothesized that the response of asthmatic patients to montelukast and fluticasone vary considerably according to the clinical phenotypes of the asthmatic patients [13]. Based on this, we are trying to delineate the cytokine and genotypic pattern of the different clinical asthma phenotypes in the present study
Numerous studies suggested that genetic factors may mediate a large part of heterogeneity in response to asthma medications among asthmatics [19]. Several genes have been associated with asthma and related phenotypes, including those related to Th2 pathways (interleukin IL-4, IL-13, IL-4RA) [20]. In the view of diversity of these genes, we chose IL4C-590T and IL4RA-175V to evaluate different clinical asthma phenotypes (based on symptomatology) among Egyptian children correlating their clinical and genotyping profiles with airway inflammatory biomarkers. IL-4 and IL-4RA are from the most common candidate asthma genes, positively associated with asthma in many independent studies and were thus highly implicated as true susceptibility genes for asthma-related phenotypes [21,22]. In addition, to the best of our knowledge, no previous studies were done to analyze these two SNPs in Egyptian asthmatic children.
IL-4 is a Th2 cytokine that plays an essential role in IgE regulation [23]. IL-4 acts through the IL-4 receptor (IL-4R) that consists of two subunits, α chain (IL-4Rα) and the γ chain (γc). IL-4Rα is a component of both the IL-4 and the IL-13 receptor complexes [24].
Cytokine gene polymorphisms were found to affect the serum levels of cytokines by influencing transcriptional regulation [25]. In the present study, statistically significant differences were found between the proposed asthma phenotypes in cytokine profile and genotyping distribution of IL4RA-175V and IL4C-590T. Further a different genotyping was noticed when dealing with asthma as a group and after its clinical phenotyping.
The study of -175V IL4RA polymorphism showed significant higher incidence of GG heterozygosity genotype in controls, whereas asthmatic cases as a group showed AG heterozygosity genotype. Also, asthmatic children with positive family history of allergy and positive allergic rhinitis showed significant higher prevalence of the AG heterozygosity genotype when compared to controls. This could suggest that the patient carrying the A allele of IL-4RA-175V had an increased risk for asthma. This data is consistent with previous studies [24,26]. Nevertheless, other studies showed insignificant association of this polymorphism with asthma risk [18]. On the other aspect, Cough with SOB group showed significant increase of serum levels of IL-9 among asthmatics with -175V AA homozygosity genotype and -175V GGhomozygosity genotype of IL4RA gene in comparison to other phenotypes of similar genotype. Thus, asthma as a group showed AG heterozygosity genotype, whereas cough with SOB group showed AAand GG homozygosity genotype. In turn, phenotyping based on symptomatology makes a sense in endotyping of asthma, which may have a reflection on heterogeneity in response to asthma medications.
The study of C-590T IL4 polymorphism showed none statistically significant differences between Egyptian asthmatic children and the control group as regard genotype and allelic frequency. However, the prevalence of the mutant variant genotype TT was minimal in the control group and more common in the affected children. Previous reports have shown that IL-4 C-589T polymorphism influences asthma risk in a most probable dominant model, i.e., one -589T allele has adequate capacity to enhance the asthma risk of susceptible individuals [23]. Also, a previous meta-analysis observed the association between −589C/T polymorphism and asthma among Asians and Caucasians but not among African Americans [26]. Our results go hand in hand with this trend. Nevertheless, the difference was not statistically significant. This may be related to different genetic and environmental backgrounds in populations of different nationalities.
Interestingly, cough group and SOB group revealed significant increase in serum levels of IL-17 among patients with CC homozygote variant of IL-4C 590T compared to patients with CT heterozygote variant. Whereas, non significant association was found between IL-4 polymorphism at position C-590 and asthma as a group. In addition, the SOB group showed higher prevalence of the mutant variant genotype TT in comparison to the cough group, although, not reaching the statistical significance. The study of C-590T IL4 polymorphism also showed the high incidence of the CT heterozygote variant (67.5% in asthmatics and 70% in controls). This is consistent with previous study done by Amirzargar et al., [25]. However, Smolnikova et al., 2013 found higher incidence of the CC homozygote variant [27]. Regarding gender, there was significant higher frequency of the CT heterozygote variant among male Egyptian asthmatic patients and significant higher frequency of the TT homozygote variant among female patients. To the best of our knowledge, this is the first study that analyzes IL4C-590T and IL4RA-175V gene polymorphisms among Egyptian asthmatic children.
Cough with SOB group showed significant increase in both serum IL-9 levels and peripheral eosinophilic percentage when compared to cough phenotype group. Also, this phenotype showed a strong significant positive relationship between eosinophilic percentage and FENO values (P=0.02). In addition, in this group eosinophilic percentage was positively associated with IL-9, however, not reaching the statistical significance (P=0.08). IL-9 appears to carry on a major role in mediating mast cells survival and function [28]. Further, SNPs in IL4RA were found to be associated with severe asthma exacerbations, lower lung function, and increased mast cell-related tissue inflammation [20].
Mast cells may influence the development of airway remodeling in asthma by releasing large amounts of plasminogen activator inhibitor type 1. Also, many studies have suggested that IL-9 may play an important role in airway remodeling in asthma especially in the early initiation of this remodeling, but other cell types likely contribute later. It was speculated that susceptibility to exacerbation may be mediated partly by developed airway remodeling in subgroup of patients with asthma [29].
In addition to the known inhibitory effect of long acting β2 agonists (LABA) on mast cell proliferation [30], many studies have highlighted the importance of them in suppressing collagen deposition, and reducing airway remodeling with enhanced effect in combination with inhaled corticosteroids [31]. Thus, cough with SOB phenotype characterized by raised serum IL-9 levels, which is inversely correlated to FEV1 values, and in turn increased mast cell activation, IgE production, and airway hyperresponsiveness, denotes severity of the patient presentation, and increased risk to recurrent acute exacerbations. The characteristics of the cough with SOB phenotype group described in the present study could have potential clinical and therapeutic implications. It could be logic to postulate that this phenotype is at risk of frequent exacerbations and sounding airway remodeling. Thus, the use of LABA as an add-on therapy when needed in this phenotype may have an upper hand than other therapeutic options. Thus, it seems reasonable to hypothesize that each presenting clinical symptom in asthmatic patients has its own cytokine pathway and its specific genetic makeup.
The SOB phenotype group showed significant increase in FENO when compared to the other two studied phenotypes. Also, they showed more frequent association with allergic rhinitis (60%) and atopic dermatitis (35%) compared to the other groups. This may highlight the feature of allergic march in this phenotype.
In conclusion, our proposed clinical asthma phenotypes express a significant value in detection of specific cytokine and genotype profiles for asthma; hence this may help in prediction and diagnosis of clinical asthma phenotypes which might have a potential value in tailoring asthma therapies.
We used costly investigations and that has limited the number of studied patients. Nevertheless, our future genetic studies are going to include larger sample size.
Magdy Zedan and Amal Osman: Design and final revision of data and article
Hussam Zaghloul: Laboratory analysis and results discussion
Ashraf Bakr, Basma Shouman, Mohammad Al-Haggar and Mohamed Zedan: Statistical analysis and final revision of article.