Skip to main content
International Journal of Ophthalmology logoLink to International Journal of Ophthalmology
. 2015 Jun 18;8(3):603–607. doi: 10.3980/j.issn.2222-3959.2015.03.30

Meta-analysis of association between K469E polymorphism of the ICAM-1 gene and retinopathy in type 2 diabetes

Wen-Ying Fan 1, Ning-Pu Liu 1
PMCID: PMC4458671  PMID: 26086016

Abstract

AIM

To collectively evaluate the association of intercellular adhesion molecule-1 (ICAM-1) gene K469E polymorphism (rs5498) with diabetic retinopathy (DR) in patients with type 2 diabetic mellitus (T2DM).

METHODS

Overall review of available literatures relating K469E polymorphism to the risk of DR was conducted on 4 electronic databases. Meta-analysis was performed by Stata 12.0 to calculate pooled odds ratios (ORs). Potential sources of heterogeneity and bias were explored.

RESULTS

Seven studies with genotype frequency data including 1120 cases with DR and 956 diabetic controls free of DR were included. Meta-analysis did not show significant association of K469E polymorphism with DR (P>0.05). A statistically significant association was detected between the K469E polymorphism and proliferative diabetic retinopathy (PDR) in Asians only in dominant model (GG+AG vs AA) with pooled OR of 0.729 (95%CI: 0.564-0.942, P=0.016, Pheterogeneity=0.143), however, this association was not detected in recessive model (GA+AA vs GG; OR=1.178, 95%CI: 0.898-1.545, P=0.236, Pheterogeneity=0.248) or allelic model (G vs A; OR=0.769, 95% CI: 0.576-1.026, P=0.074, Pheterogeneity=0.094). No publication bias was found by Funnel plot, Begg's and Egger's test.

CONCLUSION

This research found no statistically significant association between ICAM-1 gene K469E polymorphism and DR in patients with T2DM, but showed significant association of the K469E polymorphism with PDR in Asian diabetic patients only in dominant model. Further investigation would be required to consolidate the conclusion.

Keywords: K469E polymorphism, rs5498, intercellular adhesion molecule-1, diabetic retinopathy, type 2 diabetes, Meta-analysis

INTRODUCTION

Diabetic retinopathy (DR), one of the most threatening microvascular complications in diabetic patients, leads to vision damages in approximately 75% of individuals with at least 15y of diabetic duration[1]. DR is characterized by loss of pericytes, endothelial cell dysfunction, blood-retinal barrier breakdown, capillary non-perfusion, microaneurysm, haemorrhage and neovascularization. Inflammation is believed to play an important role in the pathogenesis of DR[2].

Genetic factors were found to be responsible for nearly 20% development of DR besides duration of diabetics and bad control of blood glucose[3]. A number of genes had been observed to be the candidate genetic factors predisposing the development of DR[4],[5]. Published observation suggested a crucial role of intercellular adhesion molecule-1 (ICAM-1) in the development of DR by mediating inflammation process and endothelial cell function[6]. The K469E polymorphism (rs5498) of the ICAM-1 gene results in a non-conservative change from lysine to glutamic acid in the fifth immunoglobulin-like domain 5 which is important for the activity of the ICAM-1 protein[7].

A sum of studies reported the association between K469E polymorphism of ICAM-1 gene and DR in type 2 diabetics with controversial results[8][14]. There are studies suggesting the high frequency of AA genotype in DR[8],[11], whereas the others presented an opposite result with GG to be a risk factor for DR[9]. To understand the role of K469E polymorphism of ICAM-1 gene in the pathogenesis of DR, we conducted a Meta-analysis to summarize the results by calculating pooled ORs.

SUBJECTS AND METHODS

Search Strategy

We performed an overall literature review on four electronic databases: PubMed (National Center for Biotechnology Information), ISI (Web of Kowledge), Embase, CNKI (China National Knowledge Internet), and included related studies published in English and Chinese before November 2013. The key words were “diabetic retinopathy”, “diabetic complication”, “K469E”, “rs5498”, “ICAM-1”, “gene”, “genetic”, and “intercellular adhesion molecule-1”. Manual search was used to identify targets in references of related articles. Editorials, case reports and review articles were excluded. The process of literatures selection was shown in Figure 1.

Figure 1. Chart flow of publications selection process.

Figure 1

Inclusion Criteria

1) Case-control or cohort studies published about the relationship of K469E polymorphism of ICAM-1 gene and DR in patients with type 2 diabetic mellitus. 2) Determination of DR was made by ophthalmoscopy or fundus photography after pupil dilation. 3) Adequate information about the genotype and allele were available. 4) Languish in English or Chinese.

Exclusion Criteria

1) Insufficient data in frequencies of genotype and allele. 2) Insufficient information about baseline characteristics of participants. 3) Language other than English and Chinese. 4) Genotype distribution deviates from the Hardy-Weinberg equilibrium (HWE) in the control group.

Data Extraction

For enrolled articles, the following information was extracted, including the author's last name, inclusion criteria of cases and controls, year of publication, ethnics, baseline characteristics of cases, genotype and allele frequencies of cases and controls.

Statistical Analysis

The distributions of the genotypes in the control groups of selected studies were examined using Pearson's Chi-square test, and P value >0.05 suggested accordance with the HWE. Software Stata 12.0 was used to perform Meta-analysis by calculating pooled ORs and 95% confidence interval (CI) in dominant (GG+AG vs AA), recessive (AG+AA vs GG) and allelic models (G vs A), respectively. Inter-group heterogeneity was evaluated by inconsistency index (I2) and Pheterogeneity. While Pheterogeneity <0.1, pooled odds ratio (OR) was estimated by using random-effect model otherwise using fix-effect model. Sensitivity analyses were performed by omitting each study to identify possible study contributing to the heterogeneity. Two-sided P value <0.05 means statistically significant. Funnel plot, Begg's and Egger's tests were applied to explore potential publication bias. A significance level of 0.05 was used as an indication for the presence of potential publication bias.

RESULTS

Figure 1 shows the process of literatures selection. In total, seven studies with genotype frequency data from 1120 cases of DR and 956 diabetic patients without retinopathy (DWR) were included, involving 6 Asian studies and 1 Caucasian study. Table 1 shows the baseline characteristics of patients enrolled in selected studies. The frequencies of genotypes in control groups were all in the HWE. The inclusion criteria of cases varied in different studies. Two of them included proliferative diabetic retinopathy (PDR)[9][10]. One included severe sight threatening diabetic retinopathy including severe non-proliferative diabetic retinopathy (NPDR), PDR or clinically significant macular edema[8], which was attributed into PDR subgroup in the following Meta-analysis. The remaining 4 studies involved both PDR and NPDR[11][14], and one of them had separate data for PDR and NPDR[11]. The genotype and allele information of cases and controls were shown in Table 2.

Table 1. Baseline characteristics of patients enrolled in selected studies.

No. Study Year Country Patients sources No. of case/control Age (a) BMI (kg/m2) Duration of T2DM (a) Sex (male) cases/controls HWE (P)
1 Vinita et al[8] 2012 India Hospital 199/157 58.81±8.63/64.32±9.01 23.79±5.36/25.33±7.78 17.74±5.45/18.44±6.18 128/98 >0.05
2 Balasubbu et al[10] 2010 India Hospital 345/359 57±9/59±11 - 14±9/14±9 242/208 >0.05
3 Zhou et al[13] 2010 China Hospital 102/120 55.6±8.8/56.3±9.4 - - 52/62 >0.05
4 Petrovic et al[9] 2008 Slovenia Hospital 195/143 65.2±9.9/66.9±11.5 28.1±4.4/27.7±4.4 19.2±8.6/16.5±6.6 91/57 >0.05
5 Chen and Yu[14] 2007 China Hospital 66/87 62.42±10.37/61.63±8.24 24.93±3.65/25.03±3.16 - 31/45 >0.05
6 Liu et al[11] 2006 China Hospital 132/40 PDR: 55.0±12.41 NPDR: 63.7±7.90 DWR: 61.5±11.53 - PDR: 14.7±3.48 NPDR: 12.9±2.61 NDR: 13.7±1.90 44/19 >0.05
7 Kamiuchi et al[12] 2002 Japan Hospital 81/50 64.3±8.9/64.1±9.1 - 17/16 35/24 >0.05

BMI: Body mass index; T2DM: Type 2 diabetic mellitus; HWE: Hardy-Weinberg equilibrium; PDR: Proliferative diabetic retinopathy; NPDR: Non-proliferative diabetic retinopathy; DWR: Diabetic patient without retinopathy; -: No data available.

Table 2. Genotype and allele frequencies of cases and controls.

No. Study Frequencies of genotype
GG
AG
AA
DR DWR DR DWR DR DWR
1 Vinita et al[8] 47 44 92 84 60 29
2 Balasubbu et al[10] 80 86 162 174 103 99
3 Zhou et al[13] 21 21 44 45 37 54
4 Petrovic et al[9] 52 22 96 77 47 44
5 Chen and Yu[14] 1 6 20 27 45 54
6 Liu et al[11] 11 9 40 15 81 16
7 Kamiuchi et al[12] 12 10 35 30 34 10

DR: Diabetic retinopathy (including PDR and NPDR); DWR: Diabetic patient without retinopathy.

In the Meta-analysis comparing DR with DWR, no association was found between the K469E polymorphism and DR (P>0.05; Table 3, Figure 2). Since there were 6 studies involving Asian, we performed subgroup analysis in Asians and found marginal associations of K469E polymorphism with DR in dominant model (P=0.059) and allelic model (P=0.053), and those associations were strengthened and became statistically significant in sensitivity analysis with Zhou's study removed (dominant model: P=0.006; allelic model: P=0.007; Table 3)[13].

Table 3. ORs and heterogeneity results in different models for DR vs DWR.

Model Groups Studies included Numbers of DR/DWR Calculating method Pooled OR (95%CI) P I2 (%) Pheterogeneity
Dominant model GG+AG vs AA Overall 7 1120/956 Random 0.767 (0.528-1.113) 0.162 69.4 0.003
Asian 6 925/813 Random 0.687 (0.466-1.014) 0.059 65.1 0.014
Asian sensitivity analysis 5 823/693 Random 0.603 (0.419-0.868) 0.006 50.9 0.086
Recessive model AG+AA vs GG Overall 7 1120/956 Random 1.120 (0.747-1.679) 0.583 61.1 0.017
Asian 6 925/813 Fixed 1.187 (0.934-1.508) 0.161 34.3 0.179
Asian sensitivity analysis 5 823/693 Fixed 1.253 (0.970-1.619) 0.085 36.2 0.180
Allelic modelG vs A Overall 7 1120/956 Random 0.840 (0.633-1.115) 0.227 76.3 0.000
Asian 6 925/813 Random 0.765 (0.583-1.004) 0.053 67.2 0.009
Asian sensitivity analysis 5 823/693 Random 0.696 (0.534-0.907) 0.007 58.0 0.049

Overall: All included studies; Asian: Studies in Asian; Asian sensitivity analysis: Sensitivity analysis of studies in Asians; DR: Diabetic retinopathy (including PDR and NPDR); DWR: diabetic patient without retinopathy; Fixed: Fixed effect model; Random: Random effect model; OR: Odds ratio; P: P value of Meta-analysis; I2: Inconsistency index; Pheterogeneity: P value of heterogeneity.

Figure 2. Forest plot for Meta-analysis comparing DR with DWR in dominant model (GG+AG vs AA).

Figure 2

Squares indicate the study-specific OR. Horizontal lines indicate 95%CIs. Diamonds indicate summary ORs with 95% CIs.

For Meta-analysis comparing PDR with DWR, three studies that did not separate PDR and NPDR[12][14] was excluded from the analysis. Available data from other studies suggested a statistical significant association between the K469E polymorphism and PDR in Asian subgroup with pooled OR of 0.729 (95%CI: 0.564-0.942, P=0.016) in the dominant model (Figure 3), however, no association was detected in recessive model (OR=1.178, 95%CI: 0.898-1.545, P=0.236) and allelic model (OR=0.769, 95%CI: 0.576-1.026, P=0.074) (Table 4).

Figure 3. Forest plot for Meta-analysis in Asians comparing PDR with DWR in dominant model (GG+AG vs AA).

Figure 3

Squares indicate the study-specific OR. Horizontal lines indicate 95%CIs. Diamonds indicate summary ORs with 95% CIs.

Table 4. ORs and heterogeneity results in different models for PDR vs DWR.

Model Groups Studies included Numbers of PDR/DWR Calculating method Pooled OR (95%CI) P I2 (%) Pheterogeneity
Dominant model GG+AG vs AA Overall 4 819/699 Random 0.799 (0.518-1.233) 0.310 67.6 0.026
Asian subgroup 3 624/556 Fixed 0.729 (0.564-0.942) 0.016 48.6 0.143
Recessive model AG+AA vs GG Overall 4 819/699 Random 1.038 (0.630-1.710) 0.885 70.7 0.017
Asian subgroup 3 624/556 Fixed 1.178 (0.898-1.545) 0.236 28.3 0.248
Allelic model G vs A Overall 4 819/699 Random 0.885 (0.627-1.249) 0.486 79.1 0.002
Asian subgroup 3 624/556 Random 0.769 (0.576-1.026) 0.074 57.7 0.094

Overall: All studies in PDR subgroup; Asian: Studies in PDR relevant to Asians; PDR: Proliferative diabetic retinopathy; DWR: Diabetic patient without retinopathy; Fixed: Fixed effect model; Random: Random effect model; OR: Odds ratio; P: P value of Meta-analysis; I2: inconsistency index; Pheterogeneity: P value of heterogeneity.

Funnel plots showed a symmetry distribution. No publication bias were detected both in Begg's and Egger's test (P>0.05, Figure 4).

Figure 4. Funnel plot of publication bias for Meta-analysis in allelic model (G vs A). The funnel plot was symmetric and no significant publication bias was found in this Meta-analysis.

Figure 4

DISCUSSION

We didn't find a significant overall association between K469E polymorphism of ICAM-1 gene with DR in patients with type 2 diabetic mellitus. This is consistent with Su's Meta-analysis[15]. However, in their report only the studies published in English were enrolled, and this might lead to missing of studies published in other languages. In addition, Su didn't performed subgroup analysis with regards of the severity of DR (NPDR and PDR).

Although we showed no overall associations of K469E polymorphism with DR, we detected marginal associations of K469E polymorphism with DR in Asians, and those associations were strengthened and became statistically significant in sensitivity analysis with Zhou's study removed[13]. We revaluated the design, methodology, statistic evaluation of Zhou's study, and found no errors.

In PDR subgroup analysis, we also detected a statistically significant association of K469E polymorphism with PDR in Asian. Some factors might explain this inconsistence between overall and subgroup analysis results in our study. First, those relationships were all found in Asians, which indicated ethnicity is a possible factor for susceptibility to DR and the AA genotype seemed to be a risk factor for DR in Asian population. This is consistent with previous case-control study findings, which suggested a higher frequency of AA in Asian diabetic patients with DR but a higher frequency of GG in Caucasian[8][12]. In addition, PDR is the advanced stage of DR with typical manifestation of neovascularization and may have idiopathic pathogenesis compared with NPDR. Furthermore, in PDR subgroup, we didn't include the studies without separate published data for PDR and one study was included because its case group enrolled severe sight threatening DR that was more close to PDR, and this might influence the sample size and statistical power of Meta-analysis.

Heterogeneity is an important factor influencing the results of Meta-analysis. Although there is no absolute rule for when heterogeneity becomes important, Higgins tentatively suggested adjectives of low for I2 values between 25%-50%, moderate for 50%-75%, and high for >75%[16]. When compared with fixed model, random model incorporates an estimate of heterogeneity in the weighting and typically produces more conservative estimates of the significance of the effect, we therefore used random-effect model other than fix-effect model while I2 >50% and Pheterogeneity <0.1 to obtain relatively more reasonable results.

We performed funnel plot, Begg's and Egger's test and didn't find significant publication bias, which suggested the quality of this Meta-analysis is stable. However, it is still difficult to identify publication bias. We included Chen's study that was published in China Master's Theses Full-text Database (a sub-database of CNKI) to avoid false negative result[14].

We also noticed some limitations in the current study: first, we didn't enroll studies in other languages except for English and Chinese. Second, it's difficult to get unpublished separate information of NPDR and PDR in some papers, which might have some influences in subgroup analysis. Thirdly, some factors such as diabetic duration and BMI were not analyzed due to data limitations. Finally, we didn't enroll the results of unpublished studies.

In conclusion, this Meta-analysis showed no statistically significant association between ICAM-1 gene K469E polymorphism and DR in patients with type 2 diabetic mellitus, but showed significant association of the K469E polymorphism with PDR in Asian diabetic patients only in dominant model. Since K469E polymorphism locates at the coding area of ICAM-1 gene that causes missense residue change, even a moderate association of this spot with DR should cause more attentions. Further confirmation is required to verify these findings.

Acknowledgments

Conflicts of Interest: Fan WY, None; Liu NP, None.

REFERENCES

  • 1.Klein R, Klein BE, Moss SE, Davis MD, DeMets DL. The Wisconsin epidemiologic study of diabetic retinopathy. II. Prevalence and risk of diabetic retinopathy when age at diagnosis is less than 30 years. Arch Ophthalmol. 1984;102(4):520–526. doi: 10.1001/archopht.1984.01040030398010. [DOI] [PubMed] [Google Scholar]
  • 2.Shah CA. Diabetic retinopathy: a comprehensive review. Indian J Med Sci. 2008;62(12):500–519. [PubMed] [Google Scholar]
  • 3.Doria A. Genetics of Diabetes Complications. Curr Diab Rep. 2010;10(6):467–475. doi: 10.1007/s11892-010-0147-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Abhary S, Burdon KP, Gupta A, Lake S, Selva D, Petrovsky N, Craig JE. Common Sequence Variation in the VEGFA Gene Predicts Risk of Diabetic Retinopathy. Invest Ophthalmol Vis Sci. 2009;50(12):5552–5558. doi: 10.1167/iovs.09-3694. [DOI] [PubMed] [Google Scholar]
  • 5.Hu C, Zhang R, Yu W, Wang J, Wang C, Pang C, Ma X, Bao Y, Xiang K, Jia W. CPVL/CHN2 genetic variant is associated with diabetic retinopathy in chinese type 2 diabetic patients. Diabetes. 2011;60(11):3085–3089. doi: 10.2337/db11-0028. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Kern TS. Contributions of inflammatory processes to the development of the early stages of diabetic retinopathy. Exp Diabetes Res. 2007;2007:95103. doi: 10.1155/2007/95103. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Joussen AM, Poulaki V, Le ML, Koizumi K, Esser C, Janicki H, Schraermeyer U, Kociok N, Fauser S, Kirchhof B, Kern TS, Adamis AP. A central role for inflammation in the pathogenesis of diabetic retinopathy. FASEB J. 2004;18(12):1450–1452. doi: 10.1096/fj.03-1476fje. [DOI] [PubMed] [Google Scholar]
  • 8.Vinita K, Sripriya S, Prathiba K, Vaitheeswaran K, Sathyabaarathi R, Rajesh M, Amali J, Umashankar V, Kumaramanickavel G, Pal SS, Raman R, Sharma T, SNDREAMS project ICAM-1 K469E polymorphism is a genetic determinant for the clinical risk factors of T2D subjects with retinopathy in Indians: a population-based case-control study. BMJ Open. 2012;2(4):pii:e001036. doi: 10.1136/bmjopen-2012-001036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Petrovic MG, Osredkar J, Saraga-Babić M, Petrovic D. K469E polymorphism of the intracellular adhesion molecule 1 gene is associated with proliferative diabetic retinopathy in Caucasians with type 2 diabetes. Clin Experiment Ophthalmol. 2008;36(5):468–472. doi: 10.1111/j.1442-9071.2008.01785.x. [DOI] [PubMed] [Google Scholar]
  • 10.Balasubbu S, Sundaresan P, Rajendran A, Ramasamy K, Govindarajan G, Perumalsamy N, Hejtmancik JF. Association analysis of nine candidate gene polymorphisms in Indian patients with type 2 diabetic retinopathy. BMC Med Genet. 2010;11:158. doi: 10.1186/1471-2350-11-158. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Liu L, Yu Q, Wang H, Zhang SX, Huang C, Chen X. Association of intercellular adhesion molecule 1 polymorphisms with retinopathy in Chinese patients with type 2 diabetes. Diabet Med. 2006;23(6):643–648. doi: 10.1111/j.1464-5491.2006.01884.x. [DOI] [PubMed] [Google Scholar]
  • 12.Kamiuchi K, Hasegawa G, Obayashi H, Kitamura A, Ishii M, Yano M, Kanatsuna T, Yoshikawa T, Nakamura N. Intercellular adhesion molecule-1 (ICAM-1) polymorphism is associated with diabetic retinopathy in Type 2 diabetes mellitus. Diabet Med. 2002;19(5):371–376. doi: 10.1046/j.1464-5491.2002.00694.x. [DOI] [PubMed] [Google Scholar]
  • 13.Zhou YL, Fu P, Fu XY. Study on the gene polymorphism of intercellular adhesion molecule-1 in type 2 diabetes mellitus patients with retinopathy. Journal of Chinese Practical Diagnosis and Therapy. 2010;24(1):29–31. [Google Scholar]
  • 14.Chen HX, Yu DM. Study on the relationship between ICAM-1 gene polymorphism and the microvascular complications of type 2 diabetes. China Master's Theses Full-text Database. 2007 [Google Scholar]
  • 15.Su X, Chen X, Liu L, Chang X, Yu X, Sun K. Intracellular adhesion molecule-1 K469E gene polymorphism and risk of diabetic microvascular complications: a meta-analysis. PLoS One. 2013;8(7):e69940. doi: 10.1371/journal.pone.0069940. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. BMJ. 2003;327(7414):557–560. doi: 10.1136/bmj.327.7414.557. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from International Journal of Ophthalmology are provided here courtesy of Press of International Journal of Ophthalmology

RESOURCES