Background

Cardiovascular diseases are known to be a leading disorder that embrace a wide range of specific diseases such as vascular disorders, Myocardial Infarction (MI), and congenital heart disease. In fact, such diseases involve disorders of the cardiovascular and blood circulation systems. Cardiovascular diseases are known to be a top cause of human mortality worldwide. Studies have shown that cardiovascular disorders are more likely to cause death in the general population than other diseases such as infectious diseases, maternal and infant diseases, nutritional disorders, and cancers [1,2,3,4]. The mortality rate from cardiovascular diseases is reported to be 45% [5]. The constant accumulation of fat, immune cells, and fibrous tissues in the lining of the arteries can block the arteries. This can lead to decreased alertness, decreased blood flow, and eventually a cardiovascular disease [17]. Extensive genomic studies demonstrate that genetic factors increase the chances of develo** CAD by 1.1 to 1.3 times [18]. It has also been shown that hereditary factors account for 30–60% of interpersonal differences in CAD [19]. The severity of the genetic effect depends on factors such as the age of the person at the onset point and also the type of disease [4].

The Interleukin-6 (IL-6) encoding gene is located on the 7P21 chromosome and contains 6 exons. Most studies have focused on the Interleukin-6 (IL-6) gene promoter region. This is because many single-nucleotide polymorphisms, such as IL-6-1744 G / C polymorphisms, IL-6 -572 C / G, and IL-6 -598, are located in this region [20]. Sie et al. (2006) argue that IL-6174 polymorphism is effective in transcribing the Interleukin-6 (IL-6) gene and, consequently, in the plasma level of IL-6 [21]. On the other hand, it is argued that there has been an association between the IL-6572 gene and the occurrence of atherosclerosis, coronary artery disease, and MI [22].

IL-6 is the main stimulus for the acute phase response and stimulates liver synthesis and enhances the C-reactive protein (CRP) [23]. This protein is a precursor to vascular atheromatobiotic disease and is involved in the pathogenesis of atherosclerosis. Elevated plasma levels of IL-6 and CRP increase the risk of death in the elderly. On the other hand, serum IL-6 levels are high in people with unstable angina, which is a symptom of coronary artery disease [23,24,25].

IL-6 is known as a cytotoxic polytropic. This protein is involved in activities such as activating macrophages, stimulating B and T cells, and thymocytes in the process of differentiation, regulating restorative activities, and replicating and inducing the activities of the immune system, and the cardiovascular and nervous systems. Interleukin-6 family of proteins include Leukemia Inhibitory Factor (LIF), cardiothropin-1 (CT-1), IL-6, and IL-11. Interleukin-6 is expressed by tissue immune cells. Cardiovascular cells such as endothelial cells, smooth muscle cells, and ischemic myocytes also play a part in the expression of IL-6 proteins [15, 16, 23, 26] (Fig. 1).

Fig. 1
figure 1

Immune cells, smooth muscle cells, and endothelial cells synthesize interleukin-6 from human 7th chromosome. In the liver, interleukin 6 binds to the IL-6 membrane receptor, activating gp130 and stimulating the classical signaling pathway

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IL-6 connects to its membrane receptor; This receptor consists of two sub-units IL-6 and gpl30. Once IL-6 is connected to IL-6R, it activates soluble IL-6R. The IL-6_SIL-6R complex as a potent agonist activates Glycoprotein 130 (a signal transmission component), and this process enhances the IL-6 mechanism. IL-6 plays an important role as a mediator of inflammation.

Due to the short half-life and high variability of Interleukin-6 (IL-6), limited studies have been performed on the association of serum levels of interleukin-6 with coronary artery disease [27]. Moreover, the interactions between cardiovascular risk factors, inflammatory mechanism and atheromatosis are complex [25]. Given the importance of recognizing people prone to heart disease, the risks associated with the disease and since the disease has a high mortality rate, Knowing the factors that affect its occurrence can be effective in macro-planning to control and prevent the occurrence of the disease and its complications in different populations. In this study, the relationship between IL-6 gene polymorphism and coronary artery disease is examined.

Methods

Search method

This study was performed to determine the relationship between cytokine gene polymorphism and cardiovascular disorders by systematic review and meta-analysis. To collect data in this study, Iranian and international databases of Embase, Scopus, Web of Science, PubMed, Science Direct, ProQuest, Google Scholar, SID, and Irandoc were searched. Search process in the above-mentioned databases were conducted using the keywords: (“Interleukin gene” OR “ Interleukin-6 (IL-6) gene” OR “IL-6 polymorphism” OR “IL-174G / C OR 572C / G OR 597G / A OR IL-6R OR RS1800795 OR RS1800796 OR RS1800797 OR “cytokine gene“) AND (“cardiovascular diseases“ OR CVD OR CHD OR CAD OR OR MI OR atherosclerosis OR “heart failure” OR “heart diseases“ myocery “OR“ coronary art infarction “OR“ angina pectoris “OR“ ischemic heart “). These keywords and their possible combination were searched in international databases, and for Persian databases the search was done using the Persian equivalent of the keywords expressed. Moreover, searches in Google Scholar were conducted separately both in English and in Persian, in order to identify gray literature. Assessment of relevant webpages, as well as analysing the references within collected sources were also conducted.

Selection criteria, and article assessment

After the search process, all the articles were collected in the EndNote software,and the duplicate articles were deleted. Criteria for entering articles into the study were: 1- case control studies and 2- cohort research, and 3- studies that link the genes expressing cytokines and cardiovascular disorders; Criteria for excluding the studies were: 1- cross-sectional studies 2- case reports 3- interventional studies 4-letters to editor 5- studies where their full text were not available, and 6- studies in which the study population had an underlying disease.

Then, a list of article titles and abstracts was put together, and after redacting the details of the articles, their full texts were provided to the reviewers. Each article was independently reviewed by two reviewers, and any disagreement was then reviewed by a third reviewer.

For assessing the quality of the collected articles, STROBE checklist was used. This checklist includes 22 criteria, 18 of which are used publicly for all observational studies and 4 items are used exclusively based on the type of study. The checklist criteria include study objectives, determining the appropriate sample size, type of study, sampling method, research community, data collection method, defining variables and how to review the samples, study data collection tools, study objectives, the statistical test used, and the results of the study. The maximum score for articles could be 31, and articles with a score below 14 were excluded from the study. The studies were then meta-analysed using the four step of (i.e. identification of articles, screening, review of admission criteria, and finally articles submitted to meta-analysis) PRISMA 2009 process (Fig. 2).

Fig. 2
figure 2

PRISMA flow diagram illustrating the four step process for identifuing teh articles for meta-analysis

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Statistical analysis

In this study, the heterogeneity of studies was examined using the I2 test. In general, heterogeneity is classified into three categories, heterogeneity less than 25% (low heterogeneity), between 25 to 75% (medium heterogeneity) and above 75% (high heterogeneity). Data were meta-analysed using the Comprehensive Meta-analysis software (Biostat, Englewood, NJ, USA version 3).

Results

This study examined the relationship between IL-6572G> C and IL-6174 C> G gene polymorphism and coronary artery disease following a systematic review and meta-analysis. After searching various databases, 2619 articles were collected. 317 articles from EMBASE, 399 articles from ProQuest, 345 articles from PubMed, 149 articles from Science Direct, 313 articles from Scopus, 395 articles from Web of Science, 6 articles from SID, 10 articles from Irandoc. and 685 articles from Google Scholar. 786 duplicate articles were removed, and subsequently 1358 other articles were deleted after reviewing their title and abstract. 475 articles were then entered the secondary evaluation phase. By examining the full text of the articles in terms of relevance and quality, another 438 articles were excluded. and finally 37 articles entered the meta-analysis stage (Tables 1 and 2) [28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54,55,56,57,58,59,60,61].

Table 1 Characteristics of studies that entered the meta-analysis stage
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Table 2 Odds ration of studies that entered the meta-analysis stage (IL-6 -174 G>C and coronary and IL-6572 C>G and coronary artery disease)
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Gene Interleukin-6 (IL-6) 174G> C

Investigation of heterogeneity and publication bias (GG, CG, CC genotypes)

The heterogeneity of the studies was investigated using I2 test and based on this test, the heterogeneity in GG, CG and CC genotypes were calculated as I2 = 59.1%, I2 = 79.2%, and I2 = 70% respectively The results demonstrate a high level of heterogeneity among articles, and therefore the random effects model was used to amalgamate the results from these studies. The publication bias was calculated using the Egger’s test; the test did not find bias in any of the genotypes, since the results were not statistically significant (P> 0.05) (Table 3). One of the most important reasons for the high heterogeneity in the study is the difference in the volume of case and control samples in the studied studies. The number of samples in each study is adjusted according to the objectives of that study and as reported in Table 1 among all Studies are different.

Table 3 Heterogenity and publication bias in the studied genotypes
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Meta-analysis of genotype GG

The total number of samples entered in the study was 11,463 and 12,316 for the case and control groups respectively. The odds ratio of GG genotype in patients with coronary artery disease based on meta-analysis of 35 studies was 0.8 (95% CI:0.72–0.89), which tends to reduce the risk of CAD by 0.2, meaning that people with this genotype are 20% less likely than others to tends coronary artery disease (Fig. 3). Figure 3 illustrates the odds ratio based on the model of random effects. The black small rectangle is the odds ratio, and the length of the line on which the square is located, is a representative of the 95% significance level for each study. The diamond sign represents the odds ratio for all studies.

Fig. 3
figure 3

The odds ratio of GG genotype in patients with coronary artery disease

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Meta-analysis of genotype CG

The total number of samples entered in the study was 11,463 and 12,316 for the case and control groups respectively. The odds ratio of CG genotype in patients with coronary artery disease based on meta-analysis of 35 studies by 1.16 (95% CI:1.02–1.32), which indicates the increasing effect of CG genotype with 0.16, meaning that people with this genotype are 16% more likely than others to have coronary artery disease (Fig. 4). Figure 4 illustrates the odds ratio based on the model of random effects. The black small rectangle is the odds ratio, and the length of the line on which the square is located, is a representative of the 95% significance level for each study. The diamond sign represents the odds ratio for all studies.

Fig. 4
figure 4

The odds ratio of CG genotype in patients with coronary artery disease

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Meta-analysis of genotype CC

The total number of samples entered in the study was 11,104 and 11,890 for the case and control groups respectively. The odds ratio of CC genotype in patients with coronary artery disease based on meta-analysis of 33 studies was 1.48 (95% CI:1.21–1.91), which indicates the increasing effect of CC genotype by 0.48, meaning that people with this genotype are 48% more likely than others to have coronary artery disease (Fig. 5). Figure 5 illustrates the odds ratio based on the model of random effects. The black small rectangle is the odds ratio, and the length of the line on which the square is located, is a representative of the 95% significance level for each study. The diamond sign represents the odds ratio for all studies.

Fig. 5
figure 5

The odds ratio of CC genotype in patients with coronary artery disease

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Gene Interleukin-6 (IL-6) 572C> G

Investigation of heterogeneity and publication bias (GG, CG, CC genotypes)

The heterogeneity of the studies was investigated using I2 test and based on this test, the heterogeneity in GG, CG and CC genotypes were calculated as I2 = 59.6%, I2 = 62.4%, and I2 = 87.7% respectively The results demonstrate a high level of heterogeneity among articles, and therefore the random effects model was used to amalgamate the results from these studies. The publication bias was calculated using the Egger’s test; the test did not find bias in any of the genotypes, since the results were not statistically significant (P> 0.05) (Table 4).

Table 4 Heterogenity and publication bias in the studied genotypes
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Meta-analysis of genotype GG

The total number of samples entered in the study was 4663 and 7801 for the case and control groups respectively. The odds ratio of GG genotype in patients with coronary artery disease based on meta-analysis of 16 studies was 1.27 (95% CI:1.05–1.55), which indicates the increasing effect of GG genotype by 0.27, meaning that people with this genotype are 27% more likely than others to have coronary artery disease (Fig. 6). Figure 6 illustrates the odds ratio based on the model of random effects. The black small rectangle is the odds ratio, and the length of the line on which the square is located, is a representative of the 95% significance level for each study. The diamond sign represents the odds ratio for all studies.

Fig. 6
figure 6

The odds ratio of GG genotype in patients with coronary artery disease

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Meta-analysis of genotype CG

The total number of samples entered in the study was 4663 and 6615 for the case and control groups respectively. The odds ratio of CG genotype in patients with coronary artery disease based on meta-analysis of 16 studies was 1.21 (95% CI:1.04–1.41), which indicates the increasing effect of CG genotype by 0.21, meaning that people with this genotype are 21% more likely than others to have coronary artery disease (Fig. 7). Figure 7 illustrates the odds ratio based on the model of random effects. The black small rectangle is the odds ratio, and the length of the line on which the square is located, is a representative of the 95% significance level for each study. The diamond sign represents the odds ratio for all studies.

Fig. 7
figure 7

The odds ratio of CG genotype in patients with coronary artery disease

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Meta-analysis of genotype CC

The total number of samples entered in the study was 4165 and 7801 for the case and control groups respectively. The odds ratio of CC genotype in patients with coronary artery disease based on meta-analysis of 16 studies was 0.85 (95% CI:0.61–1.18), which tends to reduce the risk of CAD by 0.15, meaning that people with this genotype are 15% less likely than others to tends coronary artery disease (Fig. 8). Figure 8 illustrates the odds ratio based on the model of random effects. The black small rectangle is the odds ratio, and the length of the line on which the square is located, is a representative of the 95% significance level for each study. The diamond sign represents the odds ratio for all studies.

Fig. 8
figure 8

The odds ratio of CC genotype in patients with coronary artery disease

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Fig. 9
figure 9

The relationship between IL-6, CRP and cardiovascular disease: Interleukin 6 affects CID and causes CRP and fibrinogen production. These two substances cause the formation of fibrosis plaque in the coronary arteries. Furthermore, the effect of ischemic myocardial infarction on IL-6 production and the role of IL-6 in cardiovascular disease has been shown to be two-sided

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Discussion

Cardiovascular disorders, including coronary artery disease, have a very complex etiology. However, the impact of environmental and genetic factors on the occurance of these diseases has been verified. Factors influencing the incidence of this disease are divided into two categories: modifiable and unmodifiable [62, 63]. In other words, factors such as diabetes, smoking, obesity, blood pressure and stress are among the factors that can be corrected. Genetics, age and gender are considered as unmodifiable factors. Known genetic factors slightly increase the risk of coronary artery disease. However, genetic patterns that greatly increase the risk of CAD are still unknown [38, 64]. However, genetic susceptibility that exposes individuals to abnormal levels of atherosclerosis also intensified the risk of develo** CAD [62,63,64,65].

The development of techniques in the field of biomolecules has made it possible to conduct comrehensive studies on polymorphisms. Examination of the polymorphism of cytokine genes, including interleukin-6, has shown that the production of these proteins varies from one person to another. It has also been shown that different pathways of Interleukin-6 (IL-6) protein expression have specific biological roles in the development of CAD susceptibility [50].

In this study, the relationship between two different polymorphisms of the Interleukin-6 (IL-6) gene was investigated by a systematic review and meta-analysis. After analyzing data related to Interleukin-6 (IL-6) 174G> C polymorphism and its relationship to CAD, it was highlighted that CC genotype has a more increasing effect (with 48% higher likelihood) than other genotypes. The heterozygous genotype also increases the chances of develo** CAD by 16%, whereas the GG genotype offers a 20% protective effect; in other words, the risk of develo** CAD in carriers of this genotype is 20% lower than others. It has been observed that in this polymorphism, allele C acts as a risk factor for coronary artery disease. Moreover, by analyzing the information related to Interleukin-6 (IL-6) -572C> G polymorphism, it was found that CC genotype exerts its protective effect by 15% in this polymorphism, whereas CG and GG genotypes increase the risk of develo** CAD by 21 and 27% respectively. In this polymorphism, allele G increases the risk of CAD and is considered as a risk factor [50,51,52,53,54,55].

A study by González-Castro et al. (2019) demonstrated that the Interleukin-6 (IL-6) 174 gene was associated with CAD, highlighting that the homozygous genotype and the heterogeneous genotype increased the risk of develo** CAD by up to 50 and 10% respectively. According to this study, dominance will increase the risk of CAD by 23%. This gene also generally increases the risk of cardiovascular disease [74]. Studies show that IL-6 is a biomarker with better sensitivity and characteristics than CRP for the diagnosis of cardiovascular disease [75]. A study by Lindmark et al. (2001) argue that IL-6 levels also play a role in mortality from heart disease, in orther words, the higher the plasma levels of this substance, the higher the mortality rate (Fig. 9) [76].

As mentioned earlier, CAD lesions are caused by fibrous plaques surrounded by lipids. Early atherosclerotic plaques are composed of CRP that may be similar to monocytes over time. In other words, the expression of CRP and adhesion molecules can stimulate chemokines and co-activate endothelial cells with lipopolysaccharides. Adhesive molecules are known to mediate T cells that are involved in creating immune responses to inflammation [38, 77].

Existing research works demonstrate that Interleukin-6 (IL-6) gene polymorphisms affect plasma levels of hsCRP and fibrinogen (47). High levels of CRP are known to be a risk factor for development of CAD. Moreover, risks associated with other various factors such as obesity and high blood pressure are seen in these people [65]. One common approach is to measure serum concentrations of anti-inflammatory agents such as hs CRP and interleukin 6. Both substances are considered as a risk factor for development of heart disease, and assessment of their levels are commonly used to determine the risk of inflammation [78]. Klimushina et al. (2019) argued that women carrying the GL Interleukin-6 (IL-6) 174 polymorphism had higher serum hsCRP levels than the CC genotype [73]. A study by Champan et al. (2003) which was conducted in Australia found that CG and CC genotypes increased the probability of develo** fibroid plaques in the Australian population by 1.39 and 2.22 times respectively [78].

Limitations

One of the limitations of this study was the lack of access to the full text of a number of studies; moreover, articles which were in a language other than English or Persian were considered for this systematic review and meta-analysis.

Conclusions

This study demonstrated that there is an association between IL-6174 and IL-6572 genes and the occurrence of coronary artery disease. According to the analyses conducted in this work, the protective effect of GG genotype in IL-6174 gene and CC genotype in IL-6572 gene were illustrated. It was also stated that the CG and CC genotypes of the IL-6174 gene have an increasing effect on coronary artery disease. Furthermore, it was observed that CG and GG genotypes in the IL-6572 gene increase the probability of develo** CAD. And in general, people with the CC genotype of the IL-6174 gene are more at risk of develo** CAD than others. In future studies, we can compare the plasma levels of interleukin-6 with each polymorphism and the risk of develo** CAD.