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. 2015 Jun 3;21:1617–1624. doi: 10.12659/MSM.894402

Association between Interleukin-1β Gene −511C>T/+3954C>T Polymorphisms and Aggressive Periodontitis Susceptibility: Evidence from a Meta-Analysis

Yuan-Yuan Hu 1,B,D,E,F, Jun-Hua Liu 2,B,D,E,F, Guang-Bin Jiang 3,B,F, Rui-Xia Yuan 1,C,E, Yu-Ming Niu 1,A,E,G,✉, Ming Shen 4,A,E,G
PMCID: PMC4467605  PMID: 26038188

Abstract

Background

Interleukin-1β (IL-1β) is an important inflammatory cytokine. The associations between IL-1β gene −511C>T/+3954C>T polymorphisms and aggressive periodontitis (AgP) susceptibility have been conflicting. We therefore conducted a meta-analysis to investigate the association of IL-1β genetic polymorphisms with susceptibility to AgP.

Material/Methods

PubMed and Embase electronic databases were searched for relevant studies. Odds ratios (ORs) with 95% confidence interval (CIs) were used to assess the association between IL-1β polymorphisms and AgP risk. Heterogeneity, publication bias, and sensitivity analysis were performed to guarantee the statistical power.

Results

Twenty published studies involving 965 patients and 1234 control subjects were included. No significant association between IL-1β polymorphisms and AgP was found. For −511C>T (T vs. C: OR=0.966, 95%CI=0.696–1.341, P=0.869; CT vs. CC: OR=0.936, 95%CI=0.761–1.151; TT vs. CC: OR=0.892, 95%CI=0.464–1.715, P=0.719; CT+TT vs. CC: OR=1.026, 95%CI=0.795–1.323; TT vs. CC+CT: OR=0.864, 95%CI=0.436–1.713). For +3954C>T (T vs. C: OR=1.069, 95%CI=0.901–1.268; CT vs. CC: OR=0.921, 95%CI=0.699–1.212; TT vs. CC: OR=1.064, 95%CI=0.747–1.515; CT+TT vs. CC: OR=0.990, 95%CI=0.764–1.283; TT vs. CC+CT: OR=1.229, 95%CI=0.919–1.643). Subgroup analyses were conducted with HWE, ethnicity, and study design, and no significant association was detected.

Conclusions

These results demonstrate that IL-1β −511C>T and +3954C>T polymorphisms are not the risk factors for developing AgP.

Keywords: Aggressive Periodontitis; Interleukin-1; Polymorphism, Single Nucleotide

Background

Aggressive periodontitis (AgP) is a complex multifactorial infectious disease of tooth-supporting tissues. It is characterized by rapid progressive damage of tooth-supporting tissues, such as alveolar bone loss with pocket formation, gingival inflammation, and recession [1]. This disease is the major cause of tooth loss in populations worldwide. Current evidence indicates that the interactions among different risk factors, such as microbiological factors, immunological factors, life habits, and genetic factors, are critical during periodontitis development [2].

Interleukin-1 (IL-1) is a critical cytokine involved in most inflammatory responses, and it has been implicated in mediating acute and serious inflammatory diseases [3]. The IL-1 gene family includes 2 functionally similar types (IL-1α and IL-1β), which are located in a cluster of human chromosome 2q13 [4]. IL-1β is produced by many cell types, including macrophages, monocytes, and T cells. Many recent studies have proven that high expression of IL-1β may be associated with inflammatory diseases, such as arthritis and bowel inflammation, and cancer conditions, such as gastric and oral cancers [5–7]. IL-1β has been reported to be a central pro-inflammatory cytokine of the immune system, as well as an important mediator during the pathogenesis of periodontal diseases [8,9]. A number of molecular studies proved that the IL-1β levels of gingival crevicular fluid and gingival tissue are significantly higher in AgP subjects [10–12].

Single-nucleotide polymorphism (SNP) is one of the most important types of gene mutation that influences gene transcription and translation, and it promotes the susceptibility of disease development [13,14]. IL-1β −511C>T and +3954C>T polymorphisms are the 2 most common loci that are thought to change the susceptibility of individuals to inflammation-induced periodontal diseases.

In 2002, Tai et al. [15] conducted the first study about the 2 polymorphisms of the IL-1β gene and AgP risk in a hospital-based Japanese study. As of this writing, several epidemiological studies have investigated the association between IL-1β −511C>T and +3954C>T polymorphisms and AgP susceptibility. In 2008, Nikolopoulos et al. [16] reported a recent meta-analysis that involved only 5–511C>T polymorphism and 16 +3954C>T polymorphism case-control studies. Several new studies had been published, but the results are still controversial. Considering the importance of IL-1β in the development of AgP, we conducted a meta-analysis of all relevant studies to clarify the association between IL-1β −511C>T and +3954C>T polymorphisms and AgP risk.

Material and Methods

All methods used in this meta-analysis were performed following the guidelines of Meta-analysis of Observational Studies in Epidemiology [17].

Search strategy

Two online electronic databases (PubMed and Embase) were searched using the terms “periodontitis,” “aggressive periodontitis,” “AgP,” “Interleukin-1,” “IL-1,” “polymorphism,” “variant,” and their combined phrases for all studies on the association between IL-1β polymorphisms and AgP risk, up to February 1, 2015. All selected studies satisfied the following inclusion criteria: (1) case-control or cohort design study on IL-1β polymorphisms and AgP; (2) focus on IL-1β −511C>T and +3954C>T polymorphisms; and (3) sufficient genotype frequency to estimate the odds ratio (OR) and 95% confidence interval (CI). Exclusion criteria included review articles, case reports, and animal models. The largest or most recently published studies were selected when similar or overlapping data were present.

Data extraction

Two reviewers (Hu and Liu) independently extracted the following information from all collected studies: the first author’s name, publication date, country and racial descent (categorized as either Asian or white), sources of controls, number of cases and controls with different genotypes, Hardy-Weinberg equilibrium (HWE), and minor allele frequency. A third reviewer (Niu) was introduced to adjudicate any discrepancies in each item for consistency.

Statistical analysis

ORs with 95% CIs were calculated to evaluate the strength of the association between the IL-1β polymorphisms and AgP risk. For IL-1β −511C>T and +3954C>T polymorphisms, the pooled ORs were obtained for allele contrast (T vs. C), co-dominant model (CT vs. CC and TT vs. CC), dominant model (CT+TT vs. CC), and recessive model (TT vs. CC+CT). In subgroup analysis, HWE, ethnicity, and study design were also analyzed statistically. Heterogeneity was calculated based on Cochran’s Q and I2 statistics [18]. ORs were estimated using a random-effects model (DerSimonian and Laird method) when I2 was greater than 50%; otherwise, a fixed-effects model (Mantel-Haenszel method) was used [19]. Cumulative meta-analyses and sensitivity analysis were conducted to evaluate the stability of the results by sequentially removing each study in each model. Potential publication bias was analyzed by Egger’s linear regression and Begg’s funnel plot [20]. Statistical analysis was performed using STATA version 11.0 (Stata Corporation, College Station, TX, USA), with 2-sided P values. P<0.05 considered significant.

Results

Study characteristics

A total of 342 articles were obtained through the literature search. The flow chart of study selection is shown in Figure 1. In the first step of title and duplicate screening, 288 studies were excluded. In the remaining 54 studies, 34 studies were excluded (5 were reviews, 7 focused on molecular research, 7 were about the research polymorphism locus, and 15 were not about the relevant gene and AgP risk). Twenty publications with sufficient data were collected in our meta-analysis [15,21–39]. Out of these 20 articles, 8 case-control studies with 522 cases and 683 controls described the association between IL-1β −511C>T polymorphism and AgP risk [15,23,25,27,30,32–34], and 22 case-control studies involving 965 cases and 1234 controls focused on the relationship of IL-1β +3954C>T polymorphism and AgP susceptibility [15, 21–39]. Only 2 studies deviated from the finding of HWE in IL-1β +3954C>T polymorphism [35,37]. The characteristics of the selected studies are summarized in Table 1.

Figure 1.

Figure 1

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Flow diagram of the study selection process.

Table 1.

Characteristics of case-control studies on IL-1β −511C>T and +3954C>T polymorphisms and AgP risk included in the meta-analysis.

First author Year Country Racial descent Source of controls Case Control Genotype distribution P for HWE* MAF
Case Control
C/C C/T T/T C/C C/T T/T
Tai 2002 Japan Asian Hospital control 47 97 13 25 9 31 51 15 0.425 0.418
Li 2004 China Asian Population controls 122 95 33 55 34 28 44 23 0.488 0.474
Scapoli 2005 Italian Caucasians Hospital control 39 96 13 23 3 38 51 7 0.068 0.339
Brett 2005 English Caucasians Population controls 50 100 23 21 6 51 39 10 0.533 0.295
Havemose-Poulsen 2007 Denmark. Caucasians Hospital control 44 25 15 19 11 11 13 1 0.233 0.300
Shete 2010 India Asian Population controls 54 101 9 15 30 9 43 49 0.921 0.698
Karasneh 2011 Jordan Caucasian Population controls 80 80 20 32 28 11 40 29 0.633 0.613
Schulz 2011 Germany Caucasian No available 86 89 37 36 13 36 40 13 0.728 0.371
C/C C/T T/T C/C C/T T/T
Tai 2002 Japan Asian Hospital control 47 97 45 2 0 88 8 0 0.670 0.042
Gonzales1 2003 European Caucasians Hospital control 28 33 15 10 3 17 12 4 0.424 0.303
Gonzales2 2003 American Caucasians Hospital control 16 14 10 4 2 9 3 2 0.109 0.250
Anusaksathien 2003 Thai Asian Hospital control 26 43 24 2 0 42 1 0 0.939 0.012
Quappe 2004 Chile Mixed Population controls 36 75 25 11 0 63 10 2 0.066 0.093
Scapoli 2005 Italian Caucasians Hospital control 40 96 24 15 1 42 43 11 0.999 0.339
Li 2004 China Asian Population controls 122 95 114 7 1 93 2 0 0.917 0.011
Moreira 2005 Brazilian Mixed Hospital control 46 31 34 12 0 24 7 0 0.479 0.113
Brett 3005 English Caucasians Population controls 49 98 28 9 12 58 32 8 0.246 0.245
Sakellari 2006 Greek Caucasians Hospital control 46 90 26 16 4 50 35 5 0.725 0.250
Droździk 2006 Poland Caucasians No available 20 52 15 5 0 31 19 2 0.662 0.221
Havemose-Poulsen1 2007 Denmark. Caucasians Hospital control 18 25 9 7 2 16 9 0 0.272 0.180
Havemose-Poulsen2 2007 Denmark. Caucasians Hospital control 27 25 19 7 1 16 9 0 0.272 0.180
Guzeldemir 2008 Turkey Caucasians Population controls 31 31 19 11 1 0 7 24 0.479 0.887
Shete 2010 India Asian Population controls 54 101 41 13 0 75 25 1 0.489 0.134
Karasneh 2011 Jordan Caucasian Population controls 80 80 45 32 3 41 33 6 0.856 0.281
Schulz 2011 Germany Caucasian No available 82 88 51 25 6 50 33 5 0.884 0.244
Shibani 2011 Syria Caucasian Hospital control 32 35 15 14 3 22 8 5 0.017 0.257
Masamatti 2012 Indian Asian Hospital control 30 30 19 10 1 21 7 2 0.227 0.183
Yücel 2013 Turkish Caucasian Hospital control 56 47 29 19 8 32 9 6 0.002 0.223
Ayazi 2013 Iran Caucasian Population controls 26 25 10 0 16 14 7 4 0.096 0.300
Ebadian 2013 Iran Caucasian Hospital control 53 48 32 21 0 24 20 4 0.954 0.292
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*

HWE in control; MAF – minor allele frequency in control group.

Quantitative analysis

For IL-1β −511C>T polymorphism

Eight related publications (522 cases and 683 controls) reported on the association between IL-1β −511C>T polymorphism and AgP risk [15,23,25,27,30,32–34]. Three studies described Asian populations [15,25,32], and 5 studies described white populations [23,27,30,33,34]. Overall, no significant association between IL-1β −511C>T polymorphism and AgP risk was found in this meta-analysis [T vs. C: OR=1.069, 95% CI=0.901–1.268, P=0.443, I2=0%; CT vs. CC: OR=0.921, 95% CI=0.699–1.212, P=0.556, I2=8.9%; TT vs. CC: OR=1.064, 95% CI=0.747–1.515, P=0.732, I2=5.6%; CT+TT vs. CC: OR=0.990, 95% CI=0.764–1.283, P=0.938, I2=3.9%; TT vs. CC+CT: OR=1.229, 95% CI=0.919–1.643, P=0.164, I2=0.0%]. In subsequent analysis without the 2 studies that deviated from the HWE, consistent results were found in all 5 genotype models. In the stratified analysis of ethnicity and study design, a similar lack of associations was found between IL-1β −511C>T polymorphism and AgP risk (Table 2).

Table 2.

Summary ORs and 95% CI of IL-1β −511C>T and +3954 C>T polymorphism and AgP risk.

−511C>T T vs. C CT vs. CC TT vs. CC CT+TT vs. CC TT vs. CC+CT
N* OR 95% CI P I2 (%) OR 95% CI P I2 (%) OR 95% CI P I2 (%) OR 95% CI P I2 (%) OR 95% CI P I2 (%)
Total 8 1.069 0.901 –1.268 0.443 0.0 0.921 0.699 –1.212 0.556 8.9 1.064 0.747 –1.515 0.732 5.6 0.990 0.764 –1.283 0.938 3.9 1.229 0.919 –1.643 0.164 0.0
Ethnicity
Asian 3 1.101 0.850 –1.428 0.465 0.0 0.907 0.577 –1.425 0.672 43.4 1.080 0.644 –1.811 0.770 0.0 0.997 0.653 –1.522 0.987 17.8 1.268 0.847 –1.900 0.249 0.0
Caucasian 5 1.045 0.833 –1.311 0.705 20.7 0.929 0.656 –1.314 0.676 3.3 1.050 0.646 –1.706 0.845 30.8 0.986 0.710 –1.369 0.932 17.5 1.188 0.782 –1.804 0.419 0.0
Design
HB 3 1.299 0.937 –1.800 0.117 0.0 1.202 0.730 –1.979 0.470 0.0 1.926 0.904 –4.102 0.089 11.9 1.331 0.822 –2.154 0.245 0.0 1.723 0.880 –3.374 0.112 28.2
PB 4 1.004 0.802 –1.259 0.970 0.0 0.797 0.541 –1.174 0.251 49.5 0.882 0.562 –1.385 0.586 3.5 0.865 0.603 –1.242 0.432 40.7 1.157 0.816 –1.641 0.413 0.0
+3954 C>T T vs. C CT vs. CC TT vs. CC CT+TT vs. CC TT vs. CC+CT
Total 22 0.966 0.696 –1.341 0.836 72.8 0.936 0.761 –1.151 0.531 24.4 0.892 0.464 –1.715 0.732 54.0 1.026 0.795 –1.323 0.845 32.9 0.864 0.436 –1.713 0.675 60.9
HWE 20 0.922 0.643 –1.32 0.659 74.3 0.852 0.685 –1.509 0.149 8.2 0.818 0.378 –1.770 0.610 59.0 0.866 0.707 –1.060 0.162 27.9 0.843 0.377 –1.886 0.796 65.1
Ethnicity
Asian 5 1.118 0.702 –1.780 0.639 9.7 1.199 0.713 –2.015 0.494 0.0 0.877 0.183 –4.205 0.870 0.0 1.174 0.706 –1.952 0.536 0.5 0.816 0.172 –3.878 0.799 0.0
Caucasian 15 0.870 0.576 –1.314 0.508 80.1 0.823 0.648 –1.045 0.109 22.0 0.885 0.416–1.883 0.752 63.5 0.931 0.686 –1.263 0.646 40.3 0.880 0.402 –1.927 0.749 68.9
Mixed 2 1.473 0.770 –2.818 0.242 0.0 1.875 0.911 –3.859 0.531 20.9 0.498 0.593 –1.179 0.656 NA 1.723 0.848 –3.501 0.133 0.0 0.403 0.019 –8.608 0.560 NA
Design
HB 13 0.971 0.777 –1.213 0.796 6.8 1.062 0.797 –1.415 0.681 0.0 0.843 0.495 –1.434 0.529 0.0 1.020 0.777 –1.339 0.886 0.0 0.795 0.471 –1.341 0.389 0.0
PB 7 0.966 0.386 –2.417 0.941 90.5 0.911 0.463 –1.792 0.787 59.6 0.678 0.129 –3.557 0.646 80.0 1.128 0.595 –2.137 0.712 66.4 0.764 0.136 –4.288 0.760 83.9
Other 2 0.798 0.510 –1.250 0.325 0.0 0.687 0.391 –1.210 0.194 24.4 0.981 0.318 –3.030 0.973 0.0 0.714 0.417 –1.225 0.221 0.0 1.117 0.367 –3.396 0.845 0.0
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*

Number of comparisons; PB – population based; HB – hospital based.

Sensitivity and cumulative analyses showed that no single study qualitatively changed the pooled ORs, indicating that the results of this meta-analysis were highly stable. Funnel plot and Egger’s test were performed to estimate publication bias, and no asymmetrical evidence was revealed. The results were further supported by data analysis using Egger’s test [T vs. C: P=0.10; CT vs. CC: P=0.23; TT vs. CC: P=0.17; CT+TT vs. CC: P=0.61; TT vs. CC+CT: P=0.10].

For IL-1β +3954C>T polymorphism

The 20 articles included 22 case-control studies (965 cases and 1234 controls) focused on IL-1β +3954C>T polymorphism [15,21–39]. Five studies focused on Asian populations [15,22,25,32,36], and 15 studies described white populations [21,23,27–31,33–35,37–39], and 2 studies assessed mixed populations [24,26]. No significant associations were found in any of the 5 models [T vs. C: OR=0.966, 95% CI=0.696–1.341, P=0.836, I2=72.8%; CT vs. CC: OR=0.936, 95% CI=0.761–1.151, P=0.531, I2=24.4%; TT vs. CC: OR=0.892, 95% CI=0.464–1.715, P=0.732, I2=54.0%; CT+TT vs. CC: OR=1.026, 95% CI=0.795–1.323, P=0.845, I2=32.9% (Figure 2); TT vs. CC+CT: OR=0.864, 95% CI=0.436–1.713, P=0.675, I2=60.9%] (Table 2). Further stratified and subgroup analyses according to ethnicity and control design were conducted, and no significant association was found. Heterogeneities were observed in the following 3 models: T vs. C, TT vs. CC, and TT vs. CC+CT. Meta-regression analyses were conducted, and no significant key factors for heterogeneity were identified. However, subgroup analysis by ethnicity and control design revealed the heterogeneities in some models.

Figure 2.

Figure 2

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OR and 95% CIs for the association between IL-1β +3954 C>T polymorphism and AgP risk in CT+TT vs. CC model.

Sensitivity and publication bias were also determined. No conspicuous changes in the pooled ORs (Figure 3 for CT+TT vs. CC model) were detected, and publication bias was not observed [T vs. C: P=0.96; CT vs. CC: P=0.90; TT vs. CC: P=0.96; CT+TT vs. CC: P=0.05 (Figure 4); TT vs. CC+CT: P=0.10].

Figure 3.

Figure 3

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Sensitivity analysis through deleting each study to reflect the influence of the individual dataset to the pooled ORs in CT+TT vs. CC model of IL-1β +3954 C>T polymorphism and AgP risk.

Figure 4.

Figure 4

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Funnel plot analysis to detect publication bias for CT+TT vs. CC model of IL-1β +3954 C>T polymorphism and AgP risk.

Discussion

In 1999, the new criteria for classification of periodontal disease were published. AgP is a type of periodontal disease that includes 2 severe subvarieties: generalized aggressive periodontitis and localized aggressive periodontitis. Sometimes, AgP exhibits the following features: patients are always young people with rapid loss of attachment and bone destruction, and familial association. A number of etiology studies have shown that the occurrence of AgP mainly includes 2 aspects: (1) microbial factors, particularly Actinobacillus actinomycetemcomitans infection, which is a critical pathogen in AgP patients; and (2) human immunity defects, which are often associated with AgP risk. In past years, the differences in periodontitis among individuals were not always interpreted to oral hygiene status. Currently, genetic factors are considered strong determinants of this disease. Gene mutation, particularly SNPs, may change the expression level of a protein and then alter the immune response, thereby influencing patients’ susceptibility to AgP development.

IL-1, with its proinflammatory properties, has been implicated in the pathogenesis of periodontitis. Moreover, it is involved in inflammation during AgP development. In 2002, Tai et al. [15] reported the first negative result about the association between IL-1β −511C>T or +3954C>T polymorphism and AgP risk. Since then, a substantial number of studies on the association between IL-1β −511C>T or +3954C>T polymorphism and AgP risk have been published, but the results were inconsistent. Quappe et al. [24] found that the T allele of IL-1β +3954C>T polymorphism is significantly associated with AgP in Chilean patients (OR=2.86, 95% CI=1.06–7.71, P=0.03). Similar results were also revealed in English patients with IL-1β +3954C>T polymorphism[23]. Furthermore, the IL-1β −511 CT heterozygote exhibited a significantly positive association in a male Chinese AgP group (OR=3.16, 95% CI=1.01–9.89, P=0.048) [25]. However, numerous studies obtained negative results.

In our meta-analysis, no significant association between IL-1β −511C>T or +3954C>T polymorphism and AgP risk was found in overall pools. Further analyses on gene models and groups stratified by ethnicity and control design were conducted to obtain more precise results. This investigation could provide a useful summary of the relationship between IL-1β −511C>T or +3954C>T polymorphism and AgP risk, and help improve clinical understanding needed to construct a molecular basis for the diagnosis and treatment of AgP.

However, some limitations should be addressed. First, the sample size was still relatively small for each polymorphism, particularly for IL-1β −511C>T locus, which decreased the statistical power of results or resulted in a different conclusion. Second, a certain degree of heterogeneity existed in the IL-1β +3954C>T locus in the 4 genetic models. Subgroup analyses indicated that this heterogeneity could be explained by ethnicity and control design. Other factors, such as environment, living habits, and age, might contribute to heterogeneity, but these interactions were not investigated in this study because of unavailable data. Third, only 2 polymorphisms were analyzed in our meta-analysis. Haplotype analyses of the 2 polymorphisms were not conducted because of insufficient haplotype data from the included reports, although haplotype analysis may be more precise and credible. Despite these limitations, no qualitative changes were found in sensitivity and publication bias in this meta-analysis, thereby indicating that the results on the possible association between IL-1β −511C>T or +3954C>T polymorphism and AgP risk were statistically robust.

Conclusions

The results of this meta-analysis suggest that IL-1β −511C>T and +3954C>T polymorphisms are not key factors in AgP development. Considering the importance of IL-1β during AgP progression, more large-scale case-control studies are necessary to explore the association and potential haplotype and gene − environment interactions between IL-1β polymorphisms and AgP risk.

Footnotes

Source of support: Grant No. D20142102 from Ministry of Education of Hubei Province

Conflicts of interest

No additional external funding was received for this study. No competing financial interests exist.

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