Polymorphisms in the interleukin 4 promoter -589C/T gene and the risk of asthma: a systematic review and meta-analysis.

BACKGROUND: To identify the association between polymorphisms in the interleukin 4 (IL-4) promoter -589C/T gene and the risk of asthma.
METHODS: The databases of PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang, Chongqing VIP (CQVIP), and Chinese Biomedical Literature (CBM) were searched and appropriate journal articles on the association between polymorphisms in the IL-4 promoter -589C/T gene and the risk of asthma were retrieved from establishment of the database to April 2021. All relevant randomized controlled trials (RCTs) were included, to the exclusion of duplicate publications, studies with no whole composition, imperfect information or inability to extract data, animal experiments and reviews, and systematic reviews. The software Review manager 5.3 was used to analyze the data.
RESULTS: Literature search led to retrieving of 16 publications containing 3181 cases and 3786 controls. The results show that CT, CC, and T gene polymorphisms were risk factors for asthma [odds ratio (OR) =1.05, 95% confidence interval (CI): 0.89-1.24; OR =1.04, 95% CI: 0.85-1.27; OR =1.98, 95% CI: 1.54-2.53]. Ethnic subgroup analysis showed that genotype CT was associated with the risk of asthma in the Asian population (OR =1.75, 95% CI: 1.01-3.05). DISCUSSION: Through the study of IL-4 (C-590T) gene polymorphism, it was found that CT, TT, and T gene polymorphism were risk factors for asthma, and the results suggested that this locus polymorphism was related to the risk of asthma. The results of subgroup analysis showed that CC and T gene polymorphisms were risk factors for asthma. Thus, IL-4(C-590T) may be the susceptibility gene of asthma. 2021 Translational Pediatrics. All rights reserved.

Introduction

Bronchial asthma (asthma for short) is a chronic inflammatory disease of the airways characterized by respiratory obstruction caused by bronchial hyperresponsiveness. It is jointly involved in a variety of cells and cytokines, and is related to the T helper type 2 (Th2) immune response (1). In the development of the occurrence of asthma, Th1/Th2 imbalance denotes allergic asthma is an important mechanism of the disease. Interleukin 4 (IL-4) is a key factor in inducing differentiation of Th2 cells (2), which is produced by Th2, reacts toTh2, and plays a pro-inflammatory role in asthma. The IL-4 gene, located on the long arm of chromosome 5, is about 10 kb, and is one of the larger lymphocytes. The gene consists of 4 exons and 3 introns. 5q21-33, 6q21-23, 11ql3, 12q14-24 are important susceptible regions of asthma on human chromosome, and many genes related to the occurrence and expression of asthma are distributed in these regions. Among them, IL-4 and IL-13 genes are the two candidate genes that have attracted much attention in relevant studies at home and abroad. They are located on the same chromosome (5q3l-q33, 5q23-31, respectively), so they are closely related to each other. Moreover, they have the generation of cytokines and share certain same parts in function and structure.

The mutation C→T at the -590 site of the IL-4 gene promoter is associated with the development of asthma, and the T allele can cause the increase of total IgE in plasma. At the same time, EOS activation, proliferation, release a variety of pro-inflammatory mediators, cause chronic allergic reactions, and destroy their own tissues and functions. A number of studies have suggested that IL-4 gene polymorphism is closely related to bronchial asthma and respiratory hyperresponsiveness (3), but there have been some differences in the conclusions of recent studies, which have also involved small sample sizes (4). A number of studies have suggested that high expression of the IL-4-590C/T gene may be an important cause of the inducement of bronchial asthma (5,6). Results of different studies are uncertain and inconsistent due to differences in research methods, sample size, region and race. A single study may not provide reliable evidence. Therefore, in order to further clarify the relationship between IL-4 gene polymorphism and bronchial asthma, we conducted a systematic review and meta-analysis of the existing available evidence. We present the following article in accordance with the PRISMA reporting checklist (available at https://dx.doi.org/10.21037/tp-21-419).

Methods

Search strategy

We systematically searched the databases of PubMed, Embase, Cochrane Library, China National Knowledge Infrastructure (CNKI), Wanfang, Chongqing VIP (CQVIP), and Chinese Biomedical Literature (CBM) from establishment of the database to April 2021. The following search terms were used: wheezing OR asthma. We checked the list of references to relevant articles to see if these references included other research reports that might be included in the review.

Literature inclusion and exclusion criteria

Articles were selected for inclusion if they met all the following criteria: (I) study type was randomized controlled trial (RCT) study, (II) language was limited to Chinese and English, (III) outcome of interest was wheezing/asthma (diagnosed by doctor or retrieved from Medicare database), (IV) measures of association [odds ratio (OR), hazard ratio (HR), or relative risk (RR)] and their 95% confidence interval (CI). If a study had several periods of follow-up, we used the values from the longest follow-up.

The exclusion criteria were as follows: repeated publication; research without full text, incomplete information or inability to conduct data extraction; animal experiments; reviews and systematic reviews. Unpublished or grey literature data (for example, in terms of conference abstracts, dissertations, or editorials) were not considered. The studies were selected by 2 reviewers independently, and any discrepancies were resolved by discussion, with adjudication from a third reviewer where necessary.

Literature screening and data extraction

The literature search, screening, and information extraction were completed independently by 2 researchers. In the event of doubts or disagreements, consensus was reached after discussion or consultation with a third party. The data extraction included the author, year, study type, number of cases, and outcome measures.

Literature quality assessment

Literature quality evaluation was independently conducted by 2 researchers, using the software Review Manager 5.3 (RevMan, Copenhagen: The Nordic Cochrane Center, The Cochrane Collaboration, 2014) risk assessment tool. According to the Cochrane risk assessment scale, allocation hiding, blinding, random sequence generation, whether the research results were blindly evaluated, and the result data were complete, the included studies were evaluated based on gender, choice of research report results, other biases, and so on. Any disagreements between researchers were reconciled through discussion or consultation with a third party. This meta-analysis was performed based on the related items of the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) statement.

Data synthesis and statistical analysis

The software RevMan 5.3 was used to analyze the data. We used RR (95% CI) as the binary variable, and standardized mean difference [SMD (95% CI)] combined effect size was used as the continuous variable. Heterogeneity was evaluated using I2. If the heterogeneity test revealed P≥0.1 and I2≤50%, homogeneity between studies was inferred, and the fixed effects model is used for combined analysis; if P<0.1 and I2>50%, it indicated heterogeneity between studies, and sensitivity analysis or subgroup analysis was conducted to investigate the source of heterogeneity. If the heterogeneity was still large, the random effects model was used, or combined results were relinquished and descriptive analysis was used instead. A funnel plot was used to analyze publication bias.

Results

Literature search results

A total of 1,359 citations were identified: 240 from PubMed, 648 from Embase, 5 from Cochrane, 108 from CNKI, 101 from CBM, and 257 from Wanfang. Of these, 573 were excluded as duplicates and 93 were excluded after the first screening based on abstracts or titles, leaving 693 articles for full-text review. A further 612 were excluded that did not match the research content by reading the abstract, leaving 81 articles for screening based on title and abstract. A total of 59 articles that did not conform to the end point effect size or could not deliver the effect size data and experimental design were excluded after reading of full texts, leaving 22 full articles for review. An additional 6 were excluded due to unavailability of full text and literature data, leaving 16 articles for final inclusion in meta-analysis in .

Figure 1

Flow diagram of identifying relevant studies. *, consider, if feasible to do so, reporting the number of records identified from each database or register searched (rather than the total number across all databases/registers); **, if automation tools were used, indicate how many records were excluded by a human and how many were excluded by automation tools. From: Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 2021;372:n71. doi: 10.1136/bmj.n71. For more information, visit: http://www.prisma-statement.org/.

Baseline characteristics and quality assessment of the included studies

Baseline characteristics

The baseline characteristics and quality assessment of the included studies are shown in .

Table 1

Characteristics of studies included in meta-analysis

Author	Year	Selection	Comparability	Exposure	Score
Cao et al. (7)	2012	☆☆	☆☆	☆☆☆	7
Liang et al. (8)	2014	☆☆	☆☆	☆☆☆	7
Wang et al. (9)	2012	☆☆	☆☆	☆☆	6
Chiang et al. (3)	2007	☆☆☆	☆☆	☆☆	7
Sandford et al. (10)	2000	☆☆☆	☆☆	☆☆	7
Mak et al. (11)	2007	☆☆☆	☆☆	☆☆☆	8
Narożna et al. (12)	2016	☆☆☆	☆☆	☆☆☆	8
Zhorina et al. (13)	2019	☆☆	☆☆	☆☆☆	7
Li et al. (14)	2016	☆☆☆	☆☆	☆☆☆	8
Dahmani et al. (15)	2016	☆☆	☆☆	☆☆☆	7
Kabesch et al. (16)	2006	☆☆	☆☆	☆☆☆	7
Wu et al. (17)	2010	☆☆☆	☆☆	☆☆☆	8
Daneshmandi et al. (18)	2012	☆☆☆	☆☆	☆☆☆	8
Huang et al. (6)	2012	☆☆☆	☆☆	☆☆☆	8
Micheal et al. (19)	2013	☆☆	☆☆	☆☆☆	7
Li et al. (20)	2014	☆☆☆	☆☆	☆☆	7

The offset risk of 9 references in this study was evaluated according to the NOS. The basic score was 7 stars or above, and only one was 6 points, so the overall quality was high. NOS, Newcastle-Ottawa Scale.

Quality assessment of the included studies

The quality assessment of the included studies was as follows:

Results of meta-analysis

A total of 1,359 citations were identified: 240 from PubMed, 648 from Embase, 5 from Cochrane, 108 from CNKI, 101 from CBM, and 257 from Wanfang. Of these, 786 were excluded as duplicate; 93 were excluded for being systematic evaluations, reviews, and animal studies; 612 were excluded for containing inconsistent research content as detected by reading the abstract. A further 59 were excluded for literature that did not conform to the endpoint effect size or the inability to obtain the effect size data and did not conform to the experimental design by reading the full text, leaving 22 articles for full-text review. An additional 6 articles were excluded due to the unavailability of full text and literature data. A total of 16 references were included in the meta-analysis.

Meta-analysis of the effect of CT, CC, TT, C, and T polymorphism on asthma

The 16 included literatures were combined and analyzed by RevMan 5.5.3 software, the results were as follows: CT, CC, and T gene polymorphisms were risk factors for asthma (OR =1.05, 95% CI: 0.89–1.24; OR =1.04, 95% CI: 0.85–1.27; OR =1.98, 95% CI: 1.54–2.53, respectively) (). The TT and C gene polymorphisms were not risk factors for asthma (OR =0.71, 95% CI: 0.33–1.52; OR =0.95, 95% CI: 0.76–1.19) (). The funnel plot is shown in . It can be seen that the funnel plot is mainly meristic, this indicate that there was no obvious publication bias in this study.

Figure 2

Forest plot of between CT polymorphism and asthma. CI, confidence interval; SE, standard error.

Figure 3

Forest plot of between CC polymorphism and asthma. CI, confidence interval; SE, standard error.

Figure 4

Forest plot of between T polymorphism and asthma. CI, confidence interval; SE, standard error.

Figure 5

Forest plot of between TT polymorphism and asthma. CI, confidence interval; SE, standard error.

Figure 6

Forest plot of between C polymorphism and asthma. CI, confidence interval; SE, standard error.

Subgroup analysis

CT subgroups

Ethnic subgroup analysis showed that genotype CT was associated with the risk of asthma in the Asian population (OR =1.75, 95% CI: 1.01–3.05). However, the OR in the children group was 0.95 (95% CI: 0.79–1.14), indicating that CT gene polymorphism was not a risk factor for asthma. In the mixed group, the OR =1.38 (95% CI: 0.85–2.26), indicating that CT gene polymorphism is a risk factor for asthma ().

Figure 7

Forest plot of between CT subgroups polymorphism and asthma. CI, confidence interval; SE, standard error.

CC subgroups

Ethnic subgroup analysis showed that genotype CC was associated with the risk of asthma in the Asian population (OR =1.09, 95% CI: 0.86–1.39). The OR was 1.1 (95% CI: 0.84–1.44) and 1.06 (95% CI: 0.63–1.79) in the children group and the mixed group, respectively, indicating that CC gene polymorphism is a risk factor for asthma ().

Figure 8

Forest plot of between CC subgroups polymorphism and asthma. CI, confidence interval; SE, standard error.

C subgroups

Ethnic subgroup analysis showed that genotype C was not associated with the risk of asthma in the Asian population (OR =0.91, 95% CI: 0.72–1.16). The OR was 0.93 (95% CI: 0.69–1.25) and 0.84 (95% CI: 0.46–1.55) in the children group and the adult group, respectively, indicating that C gene polymorphism was not a risk factor for asthma ().

Figure 9

Forest plot of between C subgroups polymorphism and asthma. CI, confidence interval; SE, standard error.

T subgroups

Ethnic subgroup analysis showed that genotype C was associated with the risk of asthma in the Asian population (OR =1.98, 95% CI: 1.54–2.53). The OR was 2.22 (95% CI: 1.53–3.24) and 1.81 (95% CI: 1.3–2.51) in the adult group and the children group, respectively, indicating that T gene polymorphism was a risk factor for asthma ().

Figure 10

Forest plot of between T subgroups polymorphism and asthma. CI, confidence interval; SE, standard error.

Publication bias

The funnel plot is shown in . It can be seen that the funnel plot is mainly meristic, this indicate that there was no significant publication bias in this study.

Figure 11

Funnel plot for assessing publication bias.

Sensitivity analysis

Sensitivity analysis was conducted by eliminating each included study individually, and conducting a summary analysis of the remaining studies to assess whether any single included study had an extreme impact on the results of the whole meta-analysis. None of the studies had a significant impact on the results of the meta-analysis, pointing that the results of the other studies were steady and reliable.

Discussion

Mechanisms of asthma

Asthma is a respiratory disease characterized by recurrent airway obstruction, respiratory hyper responsiveness, and chronic bronchial inflammation. Adult asthma is more likely to develop into persistent asthma, the severity of such asthma is gradually worsening, and the prognosis is poor. The severity of asthma is an important factor affecting the number of acute attacks, duration of symptoms, and the treatment effect of patients (21-23). One of the core factors of asthma attack is the high activation of Th2, and IL-4 plays an important role as the key component of Th2 activation. The function of IL-4 is related to multiple factors, among which the -589C/T polymorphism has been widely studied (24).

Relationship between IL-4 gene polymorphism and asthma

The main reasons for the increased risk of asthma caused by the mutation of the IL-4 gene promoter site are as follows: the mutation of the base in the IL-4 gene promoter region may increase the production of IL-4 in human body, thus leading to the occurrence of asthma; Secondly, IL-4 has many roles in the body, mainly producing a variety of biological activities in the human body, so it plays a very important role in the occurrence and development of asthma. When the body is stimulated by inflammation, IL-4 binds to its receptor to promote the differentiation of Th0 into Th2 cells and produce a large number of cytokines. On the other hand, it prevents the transformation of Th0 into Th1 and inhibits the function of Th1. In addition, IL-4 can also promote the expression of MHCII class antigen CD40 in B lymphocytes, so that B cells proliferate and produce more IgE. At the same time, the expression of CD23 and FcεRI amplifies and enhances the production and effect of IgE. IL-4 also prevents the death of B cells and enhances the expression of human IgE Fc receptor II by B cells and the transcription of FCCR mRNA, promoting the synthesis of SFCCR Cin, and thereby elevating the IgE level in the body. In addition, IL-4 can also increase the proliferation of vascular endothelium and increase the expression of vascular cell adhesion molecule 21 (VCAM21) by endothelial cells, which plays a role in the development of asthma.

Researchers have found a number of polymorphisms in the IL-4 gene that are associated with a variety of asthma phenotypes. Wang et al. (26) found that gene polymorphism at locus 589 in the promoter region of IL-4 gene can affect the degree of airway obstruction in asthmatic patients and may be related to the severity of asthma attack. Sandford et al. (10) also showed that the 589T allele was associated with asthma, while Hijazi (27) found that the C590T polymorphism of IL-4 gene was weakly correlated with the incidence of asthma.

Principal findings

It was found that CT, TT, and T gene polymorphisms were risk factors of asthma, and CC and T gene polymorphisms were risk factors of asthma by subgroup analysis. This meta-analysis on 16 studies provided considerable evidence indicating that IL-4-589C/T gene -589C/T polymorphism is associated with the risk of asthma. Nie et al. (25) investigate the association between polymorphism in the IL-4 and asthma susceptibility fond that the IL-4 -589C/T polymorphism was a risk factor of asthma. Compared with the findings of Nie et al., the susceptibility of asthma with IL-4-589C/T polymorphism in adults, children and mixed population was studied in this study, and the grouping was more reasonable. The researchers found a number of polymorphisms in the IL-4 gene that are associated with a variety of asthma phenotypes. Wang et al. (26) found that gene polymorphism at locus 589 in the promoter region of IL-4 gene can affect the degree of airway obstruction in asthmatic patients, and may be related to the severity of asthma attack. Sandford et al. (10) also showed that the 589T allele was associated with asthma, while Hijazi et al. (27) found that the C590T polymorphism of IL-4 gene was weakly correlated with the incidence of asthma. However, Cui et al. found no correlation between IL-4-589C/T and allergic asthma in Chinese people (28). The reason for this difference may be due to heterogeneity of races and regions, the distribution of gene polymorphisms may also vary greatly. A subgroup analysis was conducted, and it was found that this locus had a certain correlation with asthma. However, as this study was only conducted between children and adults, and there was a small amount of literature, further study is needed to determine whether the study results are generalizable to the whole population.

IL-4-589C/T polymorphism and other diseases

Sivangala et al. through the study of cytokine gene polymorphisms in patients with tuberculosis and their household contacts found that IL-4 (-589C/T) gene polymorphisms may be associated with TB susceptibility (29). However, in the study on the correlation between Graves’ hyperthyroidism and IL-4 promoter (-590C/T) gene polymorphism, Lv et al. (30) found that there was no correlation between GD hyperthyroidism and IL-4 (-590) gene polymorphism in Tianjin Han population. Also Dai et al. (31) on IL-4 gene promoter -590C>T was found in the study of the correlation between T polymorphism and HCV chronic infection in Yunnan Han population. T polymorphism has no correlation with HCV chronic infection in Yunnan Han population.

Limitations

There were some noteworthy limitations to this study: (I) it was not possible to analyze gene-gene and gene-environment interactions; (II) there were differences in age and gender among literatures; (III) the number of included literatures in this study was small, and different regions used different detection methods in the process of sample collection; (IV) the language of literature was limited to Chinese and English, and articles in other languages and unpublished articles were not included. The above limitations may have led to bias of the results to some extent.

Conclusions

In conclusion, through the study of IL-4(C-590T) gene polymorphism, it was found that CT, TT, and T gene polymorphism were risk factors for asthma, and the results suggested that this locus polymorphism was related to the risk of asthma. The results of subgroup analysis showed that CC and T gene polymorphisms were risk factors for asthma. Thus, IL-4 (C-590T) may be the susceptibility gene of asthma. Further functional studies with large samples and multiple loci are needed to investigate whether the IL-4 gene plays a role in susceptibility to asthma.

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