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International Journal of Clinical and Experimental Pathology logoLink to International Journal of Clinical and Experimental Pathology
. 2015 Oct 1;8(10):13489–13494.

Association between IL-10 gene polymorphisms and the risk of ischemic stroke in a Chinese population

Wen He 1, Haiyan Song 1, Lihong Ding 2, Cunbao Li 3, Lina Dai 4, Shang Gao 4
PMCID: PMC4680507  PMID: 26722562

Abstract

We investigated the possible association between two SNPs of IL-10 (IL-10 -1082A/G and -819T/C) and the susceptibility to ischemic stroke. Patients with proven ischemic stroke and control subjects were recruited between March 2013 and May 2015. The IL-10 -1082A/G and -819T/C polymorphisms were assessed by polymerase chain reaction-restriction fragment length polymorphism (PCR-RFLP). Conditional logistic regression analyses revealed that the GA and the AA genotypes were associated with development of ischemic stroke, and the ORs (95% CI) for the GA and the AA genotypes of IL-10 -1082A/G were 1.49 (1.01-2.19) and 1.83 (1.02-3.29) compared with the GG genotype, respectively. In dominant model, the GA+AA genotype of IL-10 -1082G/A was correlated with increased risk of ischemic stroke compared to the GG genotype (OR=1.56, 95% CI=1.08-2.25). The GA+AA genotype was associated with moderately increased risk of ischemic stroke in smokers (OR=1.72, 95% CI=1.04-2.84). In conclusion, our study suggests that IL-10 gene polymorphisms contribute to the development of ischemic stroke, especially in tobacco smokers.

Keywords: IL-10, polymorphism, ischemic stroke

Introduction

Ischemic stroke is one of the leading causes of neuronal death in China, and the mortality of this disease shows an increasing trend recently. The development of ischemic stroke is involved in complex vascular and metabolic process, and many factors contribute to its process, such as type 2 diabetes, hypertension, arterial fibrillation, family history of ischemic stroke, sleep apnea syndrome, smoking and etc. [1]. However, not all the individuals who expose to similar risk factors of ischemic stroke would develop this disease, which led us to hypothesize that molecular factors might play a role in the susceptibility to ischemic stroke. Previous studies reported that genetic polymorphisms may influence the development of ischemic stroke, such as interleukin-6 (IL-6), IL-18, C-reaction protein, CYP4F2, COX-2, pre-microRNA-149, matrix metalloproteinase-9 and MTHFR genes [2-9].

Interleukin-10 (IL-10) is an immunoregulatory cytokine which is secreted mainly from Th2 cells, a new lineage of T cells, and monocytes. The encoding gene of IL-10 is located at 1q31-1q32 of chromosome 1. Previous experimental study have reported that IL-10 is an anti-inflammatory cytokine, and it could play an important role in preventing the synthesis of cytokines, including IL-6, IL-1β, IL-1α, and TNF-α in activated macrophage and IFNγ through T cells [10]. Previous studies have reported the association between IL-10 gene polymorphisms and development of ischemic stroke, but the results are inconclusive [11-14]. Therefore, we investigated the possible association between two SNPs of IL-10 (IL-10 -1082A/G and -819T/C) and the susceptibility to ischemic stroke.

Material and methods

Study subjects

Patients with proven ischemic stroke were recruited in our hospital between March 2013 and May 2015. The ischemic stroke was diagnosed by CT or MRI based on the diagnostic criteria of ischemic stroke from world Health Organization. Patients who presented transient ischemic attacks, intracranial hemorrhage, brain tumors, brain trauma, severe liver disease and renal failure as well as pregnancy were excluded from the present study. Finally, a total of 260 patients with ischemic stroke were included in our study.

A total of 260 controls were randomly selected from individuals who underwent a regular health examination in our hospital during the same period. The control subjects were age- and sex-matched with the patients with ischemic stroke. Control subjects were free of ischemic stroke.

The demographic characteristics of patients with ischemic stroke and control subjects were collected from a self-designed questionnaire, including sex, age, alcohol drinking, tobacco smoking, body mass indexes, type 2 diabetes, and hypertension. The clinical characteristics of patients with ischemic stroke and control subjects were collected from medical records, including total cholesterol (TC), triglyceride (TG), low density lipopolysaccharide cholesterol (LDL-c), and high density lipopolysaccharide cholesterol (HDL-c) levels.

Prior to participating into our study, each patient and control subjects signed a written informed consent. The protocol of study was previously approved by the Institutional Research Ethics Committee of our hospital.

DNA extraction and genotyping

For DNA extraction, 5 ml peripheral venous blood was collected from each participant, collected in ethylene diamine tetra-acetic acid (EDTA)-coated tubes, and stored at -20°C in non-anticoagulant. The DNA was extracted with the TIANamp Blood DNA Kit (Tiangen Biotech, Beijing, China) according to the manufacturer instructions. The IL-10 -1082A/G and -819T/C polymorphisms were assessed by polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP). The forward and reverse primers for IL-10 -1082A/G were 5’-TCATTCTATGTGCTATATGG-3’ and 5’-TGGTAAGTGAATAAGAGT-3’, respectively; and the forward and reverse primers for IL-10 -819T/C were 5’-TGTGCACTAGGTGACTAGC-3’ and 5’-CTACCTCACAGTGACGTCC-3’, respectively. The PCR conditions were set as follows: 95°C for 5 min, 30 cycles of 95°C for 30s, 63°C for 30 s, and 72°C for 30 s and a final extension step of 72°C for 10 min. The restriction enzymes for IL-10 -1082A/G and -819T/C were BseRI and MsII, respectively. The products of PCR were confirmed by a 2% agarose gel stained with ethidium bromide and ultraviolet light.

Statistical analysis

Demographic and clinical characteristics between patients with ischemic stroke and controls were analyzed by student t-test and χ2 test. The goodness-of-fit χ2-test was tested for deviation from the Hardy-Weinberg equilibrium (HWE) in control subjects. Association between IL-10 -1082A/G and -819T/C polymorphisms and ischemic stroke was calculated by computing the odds ratio (OR) and 95% confidence intervals (95% CI) from logistic regression analyses. A p-value less than 0.05 was considered statistically significant. SPSS software version 17.0 (SPSS, Chicago, IL, USA) was used to conduct the analyses.

Results

Demographic and clinical characteristics of the study subjects

The demographic and clinical characteristics of the study subjects are shown in Table 1. No significant difference was identified between the patients with ischemic stroke and control subjects in terms of sex, age, alcohol drinking, hypertension and diabetes (P<0.05). When compared with the control subjects, patients with ischemic stroke were more likely to have a higher BMI (χ2=25.93, P<0.001), have a habit of tobacco smoking (χ2=24.54, P<0.001), and have higher level of TC (t=1.92, P=0.03), LDL-c (t=9.34, P<0.001), HDL-c (t=4.01, P<0.001) and TG (t=3.95, P<0.001).

Table 1.

Demographic and clinical characteristics of patients with ischemic stroke and control subjects

Variables Patients % Controls % χ2-test or t-test P value
Age, year
    <60 149 57.31 146 56.15
    ≥60 111 42.69 114 43.85 0.07 0.79
Gender
    Females 188 72.31 188 72.31
    Males 72 27.69 72 27.69 0.00 1.00
Body Mass Index, kg/m2
    <24 95 36.54 153 58.85
    ≥24 165 63.46 107 41.15 25.93 <0.001
Alcohol drinking
    Never 121 46.54 132 50.77
    Ever 139 53.46 128 49.23 0.93 0.33
Tobacco smoking
    Never 85 32.69 141 54.23
    Ever 175 67.31 119 45.77 24.54 <0.001
Hypertension
    No 178 68.46 196 75.38
    Yes 82 31.54 64 24.62 3.09 0.08
Diabetes mellitus
    No 217 83.46 225 86.54
    Yes 43 16.54 35 13.46 0.97 0.33
TC, mmol/L 4.68 ± 1.06 4.51 ± 0.96 1.92 0.03
LDL-c, mmol/L 2.40 ± 0.52 2.18 ± 0.48 9.34 <0.001
HDL-c, mmol/L 1.29 ± 0.28 1.20 ± 0.23 4.01 <0.001
TG, mmol/L 2.51 ± 1.17 2.12 ± 1.08 3.95 <0.001

TC, total cholesterol; LDL-c, low density lipopolysaccharide cholesterol; HDL-c, high density lipopolysaccharide cholesterol; TG, triglyceride.

Association between IL-10 gene polymorphisms and development of ischemic stroke

The genotype distributions of IL-10 -1082G/A and -819T/C confirmed with the HWE in the control subjects, and the P-values were 0.47 and 0.42, respectively (Table 2). By χ2-test, there was significant difference between genotype distributions of IL-10 -1082G/A2=0.03, P value=0.47). Conditional logistic regression analyses revealed that the GA and the AA genotypes were associated with development of ischemic stroke, and the ORs (95% CI) for the GA and the AA genotypes of IL-10 -1082A/G were 1.49 (1.01-2.19) and 1.83 (1.02-3.29) compared with the GG genotype, respectively. In dominant model, the GA+AA genotype of IL-10 -1082G/A was correlated with increased risk of ischemic stroke compared to the GG genotype (OR=1.56, 95% CI=1.08-2.25). However, we did not find any significant association between the IL-10 -819T/C gene polymorphism and risk of ischemic stroke.

Table 2.

Association between the IL-10 -1082A/G and -819T/C gene polymorphisms and the risk of ischemic stroke

IL-10 gene Patients % Controls % χ2-test P value P for HWE OR (95% CI)1 P value
-1082G/A
    Codominant
        GG 95 36.54 123 47.31 1.0 (Ref.) -
        GA 124 47.69 108 41.54 1.49 (1.01-2.19) 0.04
        AA 41 15.77 29 11.15 6.76 0.03 0.47 1.83 (1.02-3.29) 0.03
    Dominant
        GG 95 36.54 123 47.31 1.0 (Ref.) -
        GA + AA 165 63.46 137 52.69 6.19 0.01 1.56 (1.08-2.25) 0.01
    Recessive
        GG+GA 219 84.23 231 88.85 1.0 (Ref.) -
        AA 41 15.77 29 11.15 2.38 0.12 1.49 (0.87-2.58) 0.12
-819T/C
    Codominant
        TT 104 40.00 116 44.62 1.0 (Ref.) -
        TC 113 43.46 111 42.69 1.14 (0.77-1.68) 0.5
        CC 43 16.54 33 12.69 1.99 0.37 0.42 1.45 (0.83-2.55) 0.16
    Dominant
        TT 104 40.00 116 44.62 1.0 (Ref.) -
        TC+CC 156 60.00 144 55.38 1.13 0.28 1.21 (0.84-1.74) 0.29
    Recessive
        TT+TC 217 83.46 227 87.31 1.0 (Ref.) -
        CC 43 16.54 33 12.69 1.54 0.21 1.36 (0.81-2.30) 0.21
1

Adjusted for sex, age, BMI, tobacco smoking, TC, LDL-c, HDL-c and TG.

HWE, Hardy-Weinberg equilibrium; OR, Odd’s ratio; CI, confidence interval.

Stratification analysis by sex, age, BMI and tobacco smoking

The association between IL-10 -1082G/A gene polymorphisms and the development of ischemic stroke was stratified based on sex, age, BMI and tobacco smoking (Table 3). The GA+AA genotype was associated with moderately increased risk of ischemic stroke in smokers (OR=1.72, 95% CI=1.04-2.84). Moreover, we did not find significant interaction between IL-10 -1082A/G polymorphism and TC, LDL-c, HDL-c and TG in the risk of ischemic stroke.

Table 3.

Association between IL-10 -1082A/G polymorphism and development of ischemic stroke stratified by demographic characteristics

Variables Patients Controls OR (95% CI) P value

GG GA+AA GG GA+AA
Age, year
    <60 55 94 69 77 1.53 (0.94-2.51) 0.07
    ≥60 40 71 54 60 1.60 (0.90-2.82) 0.08
Gender
    Females 72 116 89 99 1.45 (0.94-2.23) 0.03
    Males 23 49 34 38 1.91 (0.92-3.97) 0.08
Body Mass Index, kg/m2
    <24 35 60 73 80 1.56 (0.90-2.74) 0.06
    ≥24 60 105 50 57 1.54 (0.91-2.59) 0.09
Tobacco smoking
    Never 34 51 66 75 1.32 (0.74-2.37) 0.09
    Ever 61 114 57 62 1.72 (1.04-2.84) 0.03

Discussion

Genetic susceptibility to diseases has attracted growing attention to the study of gene polymorphisms involved in several kinds of diseases. Previous studies have reported that cytokines could maintain the balance between pro-inflammatory and anti-inflammatory stimuli in the process of cerebrovascular disease [14,15]. In our study, we investigated the influence of IL-10 -1082A/G and -819T/C gene polymorphisms on the development of ischemic stroke. We found that the GA and the AA genotypes of IL-10 -1082A/G were associated with the risk of ischemic stroke, and had interaction with tobacco smoking.

The IL-10 gene plays an important role in regulate the complex network of reactions in the process of cerebrial ischemia. The level of IL-10 gene production with neurological deterioration and functional polymorphisms could alter the anti-infolammatory process. Previous studies have reported the association between IL-10 gene polymorphisms and development of stroke [12-15]. Xie et al. conducted a study in a Chinese population, and they found that rs1800872 and rs1554286 were associated with the development of ischemic stroke [14]. Park et al. conducted a study in a Korean population, and they found that IL-10 gene polymorphism would contribute to the development of ischemic stroke with hypertension [15]. Another study reported that IL-10 -1082A/G gene variant was significant associated with ischemic stroke in the south Indian population, and hypertensive and diabetic individuals had interaction with IL-10 gene polymorphism in the stroke risk [12]. However, several previous studies reported inconsistent results [16,17]. Two previous studies did not find an association between IL-10 -1082A/G gene polymorphisms and risk of ischemic stroke [16,17]. One previous meta-analysis pooled with five case-control studies, and it showed that IL-10 -1082A/G gene polymorphism was associated with the risk of ischemic stroke [18]. In our study, we found that the GA and the AA genotypes of IL-10 -1082A/G were associated with the risk of ischemic stroke. Such discrepancy between above mentioned studies may be attributed to ethnic variations, differences in the source of patients and sample size.

Our study found that IL-10 -1082A/G gene polymorphism had interaction with tobacco smoking in the risk of ischemic stroke. Previous studies have reported that IL-10 -1082A/G have associated with tobacco smoking related diseases [19,20]. Further studies have greatly needed to confirm the association between IL-10 -1082A/G gene polymorphism and tobacco smoking in the development of ischemic stroke.

Two limitations should be considered in our study. First, the control subjects were selected from one hospital, which suggests that the selected subjects could not well represent the general population, and thus selection bias may not be avoided in this study. Second, other polymorphisms may influence the development of ischemic stroke except for IL-10 gene polymorphism. Third, the sample size of our study is relatively small, which may limit the statistical power to find the difference between groups, and could explain our failure in finding an association with the IL-10 -819T/C polymorphisms.

In conclusion, our study suggests that IL-10 gene polymorphism contribute to the development of ischemic stroke, especially in tobacco smokers. Further studies using larger sample sizes are greatly needed to confirm our finding.

Disclosure of conflict of interest

None.

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