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International Journal of Clinical and Experimental Medicine logoLink to International Journal of Clinical and Experimental Medicine
. 2014 Oct 15;7(10):3795–3799.

IL6-174G/C polymorphism and fracture risk

Zhichang Zhang 1, Nengbin He 1, Tao Zhang 1
PMCID: PMC4238497  PMID: 25419434

Abstract

Several studies have examined the associations of polymorphism in interleukin-6 (IL6) with fracture risk. However, the results were conflicting. Thus, a meta-analysis was conducted to determine the relationship between IL6-174C/G polymorphism and risk of fracture. Databases including PubMed, EMBASE, Wanfang were searched. Summary odds ratios (ORs) and corresponding 95% confidence intervals (CIs) were estimated using random-effects models. Six studies were included in this meta-analysis. IL6-174C/G polymorphism was associated with a significantly increased risk of fracture (OR=1.32; 95% CI, 1.10-1.58; I2=11%; Figure 1). In the subgroup analysis according to gender, women (RR=1.26; 95% CI, 1.09-1.46; I2=0%) was significantly associated with risk of fracture. In the age subgroup analysis, old population (RR=1.27; 95% CI, 1.11-1.48; I2=0%) showed increased fracture risk. However, young population did show increased risk of fracture (RR=1.95; 95% CI, 0.70-5.47; I2=51%). Postmenopausal women also showed an increased fracture risks (RR=1.24; 95% CI, 1.08-1.44; I2=0%). This meta-analysis suggested that IL6-174C/G polymorphism contributed the development of fracture.

Keywords: Fracture, interleukin-6, meta-analysis, polymorphism

Introduction

Facture is a global public health concern. In the United States, 25% to 30% of hip fractures occur in men [1]. In 2004, femoral neck fractures occurred in 93,000 men older than 65 years compared to 236,000 in women. While hip fracture rates have decreased since 1995, the number of fractures continues to rise as the population ages, and it is estimated the number of hip fractures worldwide will increase from the 1.26 million in 1990 to 2.6 million in 2025 and 4.5 million in the 2050 [2].

Interleukin-6 (IL6) is a pleiotropic inflammatory cytokine that is important for immune responses, cell survival, proliferation and apoptosis [3]. Increased levels of IL-6 within the bone microenvironment promote the differentiation of osteoclast precursor cells into mature osteoclasts, which increase bone resorption [4]. It has been demonstrated that the levels of IL-6 increase during menopause in response to decreasing estradiol levels and osteoporosis in mice due to ovariectomy has been causally linked to IL-6 [5].

The best characterized genetic variants of IL6 is a G-to-C substitution at position -174, upstream of the transcription start site, which has been reported to influence IL6 levels in vitro and in vivo [6]. Therefore, we speculated that IL6-174C/G polymorphism could influence fracture risk. Some reports have established the association of IL6-174C/G polymorphism with fracture [7-12]. The IL6-174C/G polymorphism has been found to be associated with the development of fracture in some studies but with inconsistent results. In this study, we conducted a meta-analysis to estimate the association of IL6-174C/G polymorphism with risk of fracture.

Methods

Publication search

Online electronic databases (PubMed, EMBASE, and Wanfang database) was searched using the search terms: (“Interleukin-6” or IL6) and (polymorphism or variant or variation) and (“fracture” or “bone fracture”). Additional studies were identified by a hand search from reference of original studies or review articles on this topic. There was no language restriction.

Inclusion and exclusion criteria

The following inclusion criteria were used: (1) the study should have evaluated the association between the IL6-174C/G polymorphism and fracture risk; (2) the study should have a casecontrol or cohort design; (3) sufficient data should have been provided in order to calculate odds ratios (OR) and 95% confidence interval (CI). Studies were excluded if any of the following conditions applied: (1) only abstracts or reviews were available, without sufficient data; (2) animal studies; (3) studies were repeated or publications overlapped.

Data extraction and qualitative assessment

The following data was recorded from each article: first author, years of publication, ethnicity of participants, gender, age, menses, and numbers of subjects. The data were extracted by two of the authors independently. Discrepancies between these two authors were resolved by discussion.

Two reviewers completed the quality assessment independently. The Newcastle-Ottawa Scale (NOS) was used to evaluate the methodological quality, which scored studies by the selection of the study groups, the comparability of the groups, and the ascertainment of the outcome of interest. We considered a study awarded 0-3, 4-6, or 7-9 as a low-, moderate-, or high-quality study, respectively. Discrepancies were resolved by consensus and discussion.

Statistical analysis

The strength of association between the IL6-17-4C/G polymorphism and fracture risk was assessed by calculating OR with 95% CI. The pooled ORs were performed for allele model since most of the studies reported the results of this genetic model. A statistical test for heterogeneity was performed based on the Q statistic. The P >0.10 of the Q-test indicated a lack of heterogeneity among studies. The summary OR estimate of each study was calculated by the random-effects model (the DerSimonian and Laird method). Stratified analysis was performed by gender, age, and menses, if possible. Potential publication bias was examined by Egger’s test [13]. All statistical tests were performed with the software STATA version 11.0 (Stata Corporation, College station, TX, USA). A P value <0.05 was considered statistically significant.

Results

Study characteristics

A total of 6 articles on IL6-174C/G polymorphism and fracture met the study inclusion criteria, and were included in the meta-analysis [7-12]. Finally, 5120 subjects were included in this meta-analysis. All of the included studies were performed in Caucasian populations. All studies were assessed by NOS. The quality scores ranged from 7 to 9, suggesting that the methodological quality was high. The characteristics of each case-control study are presented in Table 1.

Table 1.

Characteristics of the studies included in this meta-analysis

First author/Year Ethnicity Gender Age Menses status No. of subjects Quality score
Nordstrom/2004 Caucasian Female 75 Postmenopausal 964 9
Moffett/2004 Caucasian Female >65 Postmenopausal 3376 9
Dinçel/2008 Caucasian Mixed 73 NA 42 7
Breuil/2009 Caucasian Female 70 Postmenopausal 161 8
Korvala/2010 Caucasian Male 18-27 - 192 8
Yanovich/2012 Caucasian Mixed 18-32 - 385 7

Results of meta-analysis

The evaluations of the association between IL6-174C/G polymorphism and fracture risk are summarized in Table 2. IL6-174C/G polymorphism was associated with a significantly increased risk of fracture (OR=1.32; 95% CI, 1.10-1.58; I2=11%; Figure 1). In the subgroup analysis according to gender, women (RR=1.26; 95% CI, 1.09-1.46; I2=0%) was significantly associated with risk of fracture. In the age subgroup analysis, old population (RR=1.27; 95% CI, 1.11-1.48; I2=0%) showed increased fracture risk. However, young population did show increased risk of fracture (RR=1.95; 95% CI, 0.70-5.47; I2=51%). Postmenopausal women also showed an increased fracture risks (RR=1.24; 95% CI, 1.08-1.44; I2=0%).

Table 2.

Main result and subgroup analyses of this meta-analysis

No. of studies Test of association Heterogeneity


Characteristics OR (95% CI) Z P Value Model χ 2 P Value I 2 (%)
All studies 6 1.32 (1.10-1.58) 3.05 0.002 R 5.61 0.35 11
Female 3 1.26 (1.09-1.46) 3.05 0.002 R 1.23 0.54 0
Age ≤50 years 2 1.95 (0.70-5.47) 1.28 0.20 R 3.07 0.09 51
Age >50 years 4 1.27 (1.11-1.48) 3.09 0.002 R 1.26 0.74 0
Postmenopausal 3 1.24 (1.08-1.44) 3.05 0.002 R 1.23 0.54 0

OR, odds ratio; CI, confidence intervals; R, random effects model.

Figure 1.

Figure 1

Meta-analysis for the association between IL6-174C/G polymorphism and fracture risk.

As shown in Figure 2, significant associations were evident with each addition of more data over time. The results showed that the pooled ORs tended to be stable. A single study involved in the meta-analysis was deleted each time to reflect the influence of the individual data set to the pooled ORs, and the corresponding pooled ORs were not materially altered (Figure 3).

Figure 2.

Figure 2

Cumulative meta-analysis for the association between IL6-174C/G polymorphism and fracture risk.

Figure 3.

Figure 3

Sensitivity meta-analysis for the association between IL6-174C/G polymorphism and fracture risk.

Funnel plot was performed to assess the publication bias of literatures. The shape of the funnel plot showed asymmetry (Figure 4). Egger’s test found the evidence of publication bias (P=0.452).

Figure 4.

Figure 4

Funnel plot for the association between IL6-174C/G polymorphism and fracture risk.

Discussion

This meta-analysis of six studies systematically evaluated the association between IL6-174C/G polymorphism and fracture risk. The results indicated that IL6-174C/G polymorphism was a risk factor for developing fracture in the Caucasians. There was no study investigated the association between IL6-174C/G polymorphism and fracture risk in Asians. Thus, more studies with Asians are needed in the future. Interestingly, we found that women with IL6-174C/G polymorphism were significantly associated with fracture risk. Only one study assessed the association between IL6-174C/G polymorphism and fracture risk in male population. Thus, more studies with large sample sizes are needed to further identify the association among male population. Results from this meta-an-alysis showed that old population with IL6-174C/G polymorphism were significantly associated with fracture risk. However, young population with this polymorphism were not significantly associated with fracture risk. We also found that postmenopausal women with this polymorphism had increased fracture risk.

IL-6 is a mediator of estrogen-deficient bone loss. Estrogen represses the induction of IL-6 associated with osteoblast activation, and suppresses the expression of RANKL, and thus helps to maintain BMD [14]. IL-6 is also a candidate cytokine that has been implicated in enhanced osteoclastogenesis, bone resorption, and accelerated bone loss. Previous studies showed that the -174 C/C genotype is associated with lower biochemical indices of bone resorption and with higher BMD [15]. In addition, The G allele is associated with increased promoter activity and increased IL-6 levels [6]. Thus, IL6-174C/G polymorphism might increase fracture risk.

Heterogeneity and publication bias, which may influence the results of meta-analysis, should be addressed in the meta-analysis. We did not detect a significant publication bias in this meta-analysis, suggesting the reliability of our results. Significant heterogeneity was also not observed in this meta-analysis.

Some limitations should be taken into account. First, there was no study investigated the association of IL6-174C/G polymorphism with fracture risk in Asians. Therefore, more studies are needed to further identify the association among Asians. Second, lack of the original data of the reviewed studies limited our further evaluation of potential interactions, because the interactions between gene-to-gene and gene-to-environment may modulate lung cancer risk. These gene-to-gene and gene-to-environment interactions should be further evaluated. Third, due to the lack of sufficient and uniform information in original studies, data were not stratified by other factors.

In summary, results from this meta-analysis indicated that IL6-174C/G polymorphism was significantly associated with fracture risk. Further studies considering gene-gene and gene-environment interaction should be conducted to confirm the association.

Disclosure of conflict of interest

None.

References

  • 1.Orwig DL, Chan J, Magaziner J. Hip fracture and its consequences: differences between men and women. Orthop Clin North Am. 2006;37:611–22. doi: 10.1016/j.ocl.2006.08.003. [DOI] [PubMed] [Google Scholar]
  • 2.Gullberg B, Johnell O, Kanis JA. World-wide projections for hip fracture. Osteoporos Int. 1997;7:407–13. doi: 10.1007/pl00004148. [DOI] [PubMed] [Google Scholar]
  • 3.Kishimoto T. Interleukin-6: from basic science to medicine--40 years in immunology. Annu Rev Immunol. 2005;23:1–21. doi: 10.1146/annurev.immunol.23.021704.115806. [DOI] [PubMed] [Google Scholar]
  • 4.Ishimi Y, Miyaura C, Jin CH, Akatsu T, Abe E, Nakamura Y, Yamaguchi A, Yoshiki S, Matsuda T, Hirano T, et al. IL-6 is produced by osteoblasts and induces bone resorption. J Immunol. 1990;145:3297–303. [PubMed] [Google Scholar]
  • 5.Jilka RL, Hangoc G, Girasole G, Passeri G, Williams DC, Abrams JS, Boyce B, Broxmeyer H, Manolagas SC. Increased osteoclast development after estrogen loss: mediation by interleukin-6. Science. 1992;257:88–91. doi: 10.1126/science.1621100. [DOI] [PubMed] [Google Scholar]
  • 6.Fishman D, Faulds G, Jeffery R, Mohamed-Ali V, Yudkin JS, Humphries S, Woo P. The effect of novel polymorphisms in the interleukin-6 (IL-6) gene on IL-6 transcription and plasma IL-6 levels, and an association with systemic-onset juvenile chronic arthritis. J Clin Invest. 1998;102:1369–76. doi: 10.1172/JCI2629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Nordström A, Gerdhem P, Brändström H, Stiger F, Lerner UH, Lorentzon M, Obrant K, Nordström P, Akesson K. Interleukin-6 promoter polymorphism is associated with bone quality assessed by calcaneus ultrasound and previous fractures in a cohort of 75-year-old women. Osteoporos Int. 2004;15:820–6. doi: 10.1007/s00198-004-1610-9. [DOI] [PubMed] [Google Scholar]
  • 8.Moffett SP, Zmuda JM, Cauley JA, Stone KL, Nevitt MC, Ensrud KE, Hillier TA, Hochberg MC, Joslyn G, Morin P, Cummings SR SOF Research Group. Association of the G-174C variant in the interleukin-6 promoter region with bone loss and fracture risk in older women. J Bone Miner Res. 2004;19:1612–8. doi: 10.1359/JBMR.040707. [DOI] [PubMed] [Google Scholar]
  • 9.Dinçel E, Sepici-Dinçel A, Sepici V, Ozsoy H, Sepici B. Hip fracture risk and different gene polymorphisms in the Turkish population. Clinics (Sao Paulo) 2008;63:645–50. doi: 10.1590/S1807-59322008000500013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Breuil V, Quincey D, Testa J, Roux CH, Albert C, Mroueh Z, Chami-Stemman H, Brocq O, Grisot C, Euller-Ziegler L, Carle GF. Gene polymorphisms and osteoporotic fractures: a study in postmenopausal French women. Joint Bone Spine. 2009;76:317–9. doi: 10.1016/j.jbspin.2008.09.016. [DOI] [PubMed] [Google Scholar]
  • 11.Korvala J, Hartikka H, Pihlajamäki H, Solovieva S, Ruohola JP, Sahi T, Barral S, Ott J, Ala-Kokko L, Männikkö M. Genetic predisposition for femoral neck stress fractures in military conscripts. BMC Genet. 2010;11:95. doi: 10.1186/1471-2156-11-95. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Yanovich R, Friedman E, Milgrom R, Oberman B, Freedman L, Moran DS. Candidate gene analysis in israeli soldiers with stress fractures. J Sports Sci Med. 2012;11:147–55. [PMC free article] [PubMed] [Google Scholar]
  • 13.Egger M, Smith GD, Schneider M, Minder C. Bias in meta-analysis detected by a simple, graphical test. BMJ. 1997;315:629–34. doi: 10.1136/bmj.315.7109.629. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 14.Poli V, Balena R, Fattori E, Markatos A, Yamamoto M, Tanaka H, Ciliberto G, Rodan GA, Costantini F. Interleukin-6 deficient mice are protected from bone loss caused by estrogen depletion. EMBO J. 1994;13:1189–96. doi: 10.1002/j.1460-2075.1994.tb06368.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Garnero P, Borel O, Sornay-Rendu E, Duboeuf F, Jeffery R, Woo P, Delmas PD. Association between a functional interleukin-6 gene polymorphism and peak bone mineral density and postmenopausal bone loss in women: the OFELY study. Bone. 2002;31:43–50. doi: 10.1016/s8756-3282(02)00810-4. [DOI] [PubMed] [Google Scholar]

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