Skip to main content
PMC home page
International Journal of Environmental Research and Public Health logoLink to International Journal of Environmental Research and Public Health
. 2015 Jul 14;12(7):8023–8033. doi: 10.3390/ijerph120708023

Matrix Metalloproteinase 9 Gene Promoter (rs 3918242) Mutation Reduces the Risk of Diabetic Microvascular Complications

Zhongwen Zhang 1,2, Xiaoyun Wu 2, Tian Cai 2, Weiyi Gao 3, Xiaojun Zhou 2, Junyu Zhao 2, Jinming Yao 2, Hongxia Shang 2, Jianjun Dong 4,*, Lin Liao 2,*
Editor: Paul B Tchounwou
PMCID: PMC4515707  PMID: 26184271

Abstract

Background: Many studies have evaluated the association between matrix metalloproteinase 9 (MMP9) gene promoter polymorphism and diabetic microvascular complications. However, the results are conflicting and inconclusive. The aim of this meta-analysis was to evaluate the association more precisely. Materials and Methods: Studies were retrieved from the PubMed, Embase, Medline, China National Knowledge Infrastructure, Web of Science, and Cochrane databases. All statistical analyses were performed using Review Manager 5.2. Results: Data were abstracted from four case-control studies that included 446 patients with diabetic microvascular complications and 496 diabetic control subjects. The MMP9-1562 C/T genotype was significantly associated with the risk of diabetic nephropathy after stratification by specific type of microvascular complication (CT + TT vs. CC: OR = 0.42, 95% CI = 0.26–0.69, p = 0.0006; TT vs. CC + CT: OR = 0.37, 95% CI = 0.19–0.76, p = 0.006). Conclusions: This study adds to the evidence that MMP9-1562 T gene mutation might reduce the risk of diabetic nephropathy.

Keywords: matrix metalloproteinase 9, diabetes mellitus, meta-analysis

1. Introduction

Diabetic microvascular complications (DMI), mainly including diabetic retinopathy (DR) and diabetic nephropathy (DN), have been increasing steadily around the world [1,2,3,4,5]. Although the precise mechanisms for the pathogenesis of DMI are still undefined, many risk factors, such as the duration of diabetes and the degrees of glycemic and blood pressure control, are identified in the causation of DMI [6,7]. Additionally, several gene polymorphisms, such as superoxide dismutase (SOD), endothelial nitric oxide synthase (eNOS), suprachiasmatic nucleus 9A (SCN9A), vascular cell adhesion molecule-1(VCAM-1), vascular endothelial growth factor (VEGF), olfactory receptor 4K17 (OR4K17), apolipoprotein C1 (APOC1), basic fibroblast growth factor (bFGF), insulin-like growth factor (IGF), and matrix metalloproteinases (MMPs) [8,9,10,11,12,13,14,15,16,17,18] have been indicated as contributing factors in prior studies. Therefore, finding a genetic marker for DMI would be important in identifying patients who could benefit from preventive treatment.

Hyperglycemia-induced changes in microvascular wall structure contribute to the pathological process of DMI, which is characterized by thickening of the capillary basement membranes and increased deposition of extracellular matrix components (ECM), while loss of microvessels with subsequent neovascularization is predominant in the eye, kidney, and peripheral nerves [19]. Matrix metalloproteinase 9 (MMP9), a member of the gelatinase family of MMPs that degrade ECM proteins, plays an important role in microvascular remodeling. MMP9 expression is up-regulated in the lesions of the vascular wall during the process of DMI, and its high expression is associated with the recruitment of leukocytes to lesions and fibrosis of the microvascular wall [20,21]. Variants in the regulatory regions of MMP9 gene have been considered to be an important factor that influences MMP9 expression [22,23]. A number of epidemiological studies have evaluated the association between the genetic variants of the MMP9 gene and the risk of DMI [24,25,26]. The most common variant is MMP9-1562C/T promoter polymorphism (rs 3918242) [9,10,11]. However, the results were controversial. Some researchers have indicated that the functional -1562 C-to-T polymorphism in MMP9 gene promoter was associated with the risk of DMI [24,27,28]. Yet, the results have not been verified in other studies [26]. Since a single-case study may lack of the power to provide dependable conclusions, we carried out this meta-analysis to evaluate the exact effect of the MMP9-1562C/T gene promoter variant on the risk of DMI.

2. Experimental Section

2.1. Search Strategy

We searched the following electronic databases: PubMed, Embase, Web of Science, China National Knowledge Infrastructure, Cochrane database, and the references list of relevant studies. We used these search terms: “Matrix metalloproteinase 9”, “MMP9”, or “rs3918242” in combination with “diabetes mellitus” or “diabetic microvascular complications” or "diabetic nephropathy" or “diabetes kidney disease” or “diabetic retinopathy” or “ diabetic dermopathy ” or “variant” or “mutation” or “single nucleotide polymorphism” or “SNP” or “polymorphism”. There was no restriction on language or whether or not the articles had been published.

2.2. Inclusion Criteria and Information Extracted

Eligible studies met the following criteria: (1) Case-control study, patients with diabetic microvascular complications as case group, diabetic patients without complications as control group; (2) Studies evaluating the association between the MMP9-1562C/T promoter polymorphism and the risk of DMI; (3) Studies with sufficient data for calculating odds ratios (ORs) and 95% confidence intervals (95% CIs). Exclusion criteria included: (1) Kidney damage due to diseases other than diabetes; (2) Animal studies.

2.3. Data Extraction

Two authors (ZWZ and JJD) independently screened abstracts and extracted data from included studies according to the standard technological procedure [8,29]. Table 1 lists the characteristics of the extracted data.

Table 1.

Main characteristics of the studies included in the meta-analysis.

First author Ethnicity Subjects, N cases/controls Mean age, y cases/controls Genotypes (CC/CT/TT) % of male (cases/controls) Test for HWE X2 P
cases/controls
ML Pang et al. (2010) Asian 150/52 57.4 ± 14.1/
58.7 ± 15.3		 77/30/43 24/6/22 52.5/22.4 29.3 p < 0.05
M Beránek et al. (2008) Caucasian 304/186 62.3 ± 0.7/
59.4 ± 0.9		 220/79/5 134/49/3 NA/NA 1.08 p = 0.29
K Singh et al. (2013) Caucasian 259/267 55.3 ± 8.9/
51.4 ± 10.5		 164/91/4 196/69/2 85.0/85.2 2.56 p = 0.10
KZ Liu et al. (2003) Asian 230/110 63.4 ± 9.2/
64.2 ± 11.0		 196/31/3 85/23/2 57.4/45.5 0.16 p = 0.68
Open in a new tab

N, Number of studies; NA, Not available; HWE: Hardy-Weinberg equilibrium.

2.4. Statistical Analysis

The strength of the association between MMP9 gene mutation and DMI was evaluated by ORs and their corresponding 95% CIs. If the association exhibited high heterogeneity (I2 > 25%), the random effects model was merged. Otherwise, the fixed effects model was used. The HWE was tested by the X2 test. The potential publication bias was estimated using funnel plots and Rosenthal's fail-safe number (Nfs). Rosenthal's fail safe number is calculated via the formula Nfs0.05 = (ΣZ/1.64)2 – k (k is the number of articles included in this study). The association between the MMP9-1562 C/T gene mutation and DMI was analyzed in the dominant model (T positive genotype) by CT + TT vs. CC; in the recessive model (T negative genotype), TT vs. CT + CC was used. The risk frequency of the T allele was calculated in these case-control groups. The ethnicity (Caucasians or Asians) and the specific type of microvascular complication (diabetic nephropathy, diabetic retinopathy or diabetic dermopathy) were selected for stratified analysis. All analyses were performed using Review Manager 5.2 (Cochrane Collaboration, Oxford, UK). In subgroup analyses p values were Bonferroni adjusted to account for multiple testing. If the corrected p-value is still below the error rate, the gene will be significant: Corrected p-value = p-value * n (number of groups in test) < 0.05.

3. Results and Discussion

3.1. Study Characteristics

The study selection process is indicated in Figure 1. In brief, 839 records were identified by database searches and 2 through other sources, of which 791 were excluded after scanning the titles and abstracts.

Figure 1.

Figure 1

Open in a new tab

Flow diagram of paper selection for the meta-analysis.

Two investigators (Z.Z. and J.D.) reviewed the full articles of the remaining 50 abstracts and excluded 46 articles. Four original studies satisfied the selection criteria and were included in our meta-analysis. The main characteristics of the included studies are listed in Table 1. All the studies involved a hospital-based design. Two studies [24,26] investigated Caucasian population and two studied [27,28] Asians. The percentages of MMP9-1562 T allele carriers ranged from 4.6 % to 30.1% in DMI patients and 12.5% to 47.9 % in controls. Except for the Pang et al. study [28] (p < 0.05 for controls), the genotype distributions for both patients and controls were in HWE (p > 0.05).

3.2. Main Meta-Analysis Results

The fixed effects model was used because the heterogeneity of the data was less than 25%. It showed that the MMP9-1562 C/T genotype was significantly associated with the risk of diabetic nephropathy, after stratification by specific type of microvascular complication (dominant model: OR = 0.42, 95% CI = 0.26–0.69, p = 0.0006, Corrected p-value = 0.0018, heterogeneity: I2 = 6%; recessive model: OR = 0.37, 95% CI = 0.19–0.76, p = 0.006, Corrected p-value = 0.018, heterogeneity: I2 = 0%) (Figure 2).

Figure 2.

Figure 2

Open in a new tab

Forest plots of the meta-analysis for MMP9-1562C to T gene mutation (CT + TT vs. CC) associated with the subtypes of diabetic microvascular complications.

There was a significant association between MMP9-1562 C/T genotype and DMI in Asians (dominant model: OR = 0.42, 95% CI = 0.26–0.69, p = 0.0006, corrected p-value = 0.0012, heterogeneity: I2 = 6% for Asians; OR = 1.36, 95% CI = 0.95–1.95, p = 0.09, corrected p-value = 0.18, heterogeneity: I2 = 71% for Caucasians; recessive model: OR = 0.37; 95% CI = 0.19–0.76, p = 0.006, Corrected p-value = 0.018, heterogeneity: I2 = 0% for Asians; OR = 2.77, 95% CI = 0.69–11.18, p = 0.15, Corrected p-value = 0.30, heterogeneity: I2 = 0% for Caucasians). In addition, we calculated the ‘T’ allelic frequency of MMP9 -1562 C/T genotype in Asians and Caucasians. In the Caucasian population, the frequency of the ‘T’ allele in the case group was lower than that in control group (case group: mean = 0.150038, range = 0.145714–0.154362; control group: mean = 0.194098, range = 0.147287–0.240909). However, in the Asian population, the frequency of the ‘T’ allele in the case group was higher than that in control group (case group: mean = 0.3020835, range = 0.125–0.479167; control group: mean = 0.173718, range = 0.046154–0.301282).

3.3. Publication Bias

The publication bias was assessed by funnel plot and Nfs0.05. No significant publication bias was found (Figure 3). The Nfs0.05 value of each comparison was greater than the number of studies included in our meta-analysis.

Figure 3.

Figure 3

Open in a new tab

Funnel plot of publication bias for the association of MMP9 -1562C/T gene polymorphism with the risk of diabetic microvascular complications.

3.4. Sensitivity Analysis

In consideration of the fact that the controls in the study by Pang et al. were not in HWE [28], sensitivity analysis was performed to assess the impact of this study on the overall conclusions. As shown in Figure 4, the genotype distribution of the control groups of the Pang et al. study deviated significantly (p < 0.05) from HWE. The meta-analysis based on corrected estimates for the random effects OR (OR adjusted) for the dominant model for allele T produces an estimate of OR adjusted = 0.93 (0.77–1.12), whereas the raw overall analysis and the sensitivity analysis produce similar estimates: OR = 1.01 (0.81–1.26). The result indicated that the departure from HWE in Pang’s study has no major impact.

Figure 4.

Figure 4

Open in a new tab

The sensitivity analysis for the association of MMP9-1562C/T gene polymorphism with risk of diabetic microvascular complications.

3.5. Discussion

To the best of our knowledge, this is first meta-analysis examining the relationship between MMP9-1562 C/T gene mutation and DMI susceptibility. Our subtype analyses found a significant association between the MMP9-1562 T gene mutation and the risk of diabetic nephropathy in Asians.

Previous studies have suggested that microvascular remodeling might affect the development of diabetic nephropathy by degradation products of extracellular matrix proteins in the mesangium and basement membrane of the glomerulus [30]. MMP9, a major regulator of the extracellular matrix, is capable of degrading the extracellular matrix proteins. In a previous preliminary study, Uemura et al. [31] reported a significant correlation between MMP9 and diabetic vascular disease. Liu et al. [27] suggested MMP9 as an indicator of renal microvascular remodeling in patients with diabetic nephropathy. Polymorphisms in the promoter of the MMP9 gene have been shown to significantly affect the transcriptional activity and the release of MMP9. For example, the -1562C/T polymorphism is associated with an increased transcriptional activity and high expression of MMP9. Thus, the -1562C/T polymorphism of MMP9 gene may represent a candidate to identify genetic risk factors for diabetic nephropathy. In this meta-analysis, a total of four studies, including 446 DMI cases and 496 diabetic controls, were collected to evaluate the association between MMP9-1562C/T gene promoter polymorphism and the risk of DMI. Disappointedly, there was no significant association between MMP9-1562C/T gene promoter polymorphism and the risk of DMI under dominant and recessive models. However, in the subtype analysis by the specific type of microvascular complication, a significant association was found between MMP9-1562C/T gene polymorphism and the risk of diabetic nephropathy under dominant and recessive models. Since only a few of these studies are available, these conclusions have to be confirmed further by large population studies.

Some limitations should be considered in this meta-analysis. First, the number of subjects is relatively small, and additional case-control studies are needed to confirm the conclusion. Second, the DN study populations were Asians, and study populations from other ethnic groups did not exist. Therefore, more studies should be conducted in other ethnic groups to increase the statistical power. Third, the MMP9 gene is just one of a host of genetic risk factors for DN; other MMP genes, such as MMP2, MMP8, and MMP10 may also participate in the pathogenesis of DN. Moreover, considering that positive results are much more likely to be published, negative findings in research may be suppressed [32]. Although no evidence of publication bias was found, the number of meta-analysis studies was small and inter-study heterogeneity was observed. The heterogeneity could be due to differences in several factors such as the duration of diabetes, subtype of diabetes mellitus and the type of microvascular complication. In addition, DMI involves combined effects of multiple genetic and environmental factors and different ethnic populations have different genetic backgrounds, which may affect DMI susceptibilities [8,33]. In our study, after excluding the trials of Beránek [26] and Singh [24], the heterogeneity was reduced (dominant models: I2 = 6%, recessive models: I2 = 0%) and a significant association was found between MMP9-1562C/T gene polymorphism and the risk of DN. In addition, the heterogeneity was reduced after excluding the Caucasian population. These results indicated that the type of microvascular complication and ethnicity were correlated with heterogeneity. However, all of the Asian studies involved diabetic nephropathy instead of diabetic retinopathy or diabetic dermopathy. It is unclear whether the existence of heterogeneity is due to the differences in the type of microvascular complications or ethnicity and additional studies should be performed in the future to dismiss the confounding factors before arriving at conclusions.

4. Conclusions

In summary, our study provided potential evidence of the association between MMP9-1562C/T gene promoter polymorphism and the risk of DMI, and supported the hypothesis that the MMP9-1562 T allele variant might be a genetic marker for the risk of DN. Since the sample size of MMP9 polymorphism studies is relatively small, additional case-control studies with large sample sizes are required to validate our findings. In addition, further studies concerning other single nucleotide polymorphisms in the MMP9 gene and DMI susceptibility are also encouraged to clarify the role of the MMP9 gene in DMI.

Acknowledgments

This work was funded by National Natural Science Foundation of China Grants (81070637), Shandong Provincial Natural Science Foundation of China Grants (No. Y2006C76, ZR2010HM044), Shandong Provincial Science & Technology Development Program, China (2009GGB14001), Fund for the Returned Oversea Scholars Sponsored by National Ministry of Personnel (2008, No. 102), Grant for Excellent Young, and Middle-aged Scientists of Shandong Province (No. 2004BS02016).

Author Contributions

Zhongwen Zhang and Jianjun Dong conceptualized the study, Weiyi Gao, Xiaojun Zhou, Tian Cai, Xiaoyun Wu, Junyu Zhao, Jinming Yao, and Hongxia Shang performed the search, collected, interpreted, and analyzed data and drafted the article; Lin Liao analyzed data and critically revised the article.

Conflicts of Interest

The authors declare no conflict of interest.

References

  • 1.Nathan D.M. Navigating the choices for diabetes prevention. New Engl. J. Med. 2010;362:1533–1535. doi: 10.1056/NEJMe1002322. [DOI] [PubMed] [Google Scholar]
  • 2.Li S., Guo S., He F., Zhang M., He J., Yan Y., Ding Y., Zhang J., Liu J., Guo H., et al. Prevalence of diabetes mellitus and impaired fasting glucose, associated with risk factors in rural Kazakh adults in Xinjiang, China. Int. J. Environ. Res. Public Health. 2015;12:554–565. doi: 10.3390/ijerph120100554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Reusch J.E. Diabetes, microvascular complications, and cardiovascular complications: What is it about glucose? J. Clin. Invest. 2003;112:986–988. doi: 10.1172/JCI200319902. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 4.Rosenson R.S., Fioretto P., Dodson P.M. Does microvascular disease predict macrovascular events in type 2 diabetes? Atherosclerosis. 2011;218:13–18. doi: 10.1016/j.atherosclerosis.2011.06.029. [DOI] [PubMed] [Google Scholar]
  • 5.Estacio R.O., Dale R.A., Schrier R., Krantz M.J. Relation of reduction in urinary albumin excretion to ten-year cardiovascular mortality in patients with type 2 diabetes and systemic hypertension. Am. J. Cardiol. 2012;109:1743–1748. doi: 10.1016/j.amjcard.2012.02.020. [DOI] [PubMed] [Google Scholar]
  • 6.Adler A.I., Stratton I.M., Neil H.A., Yudkin J.S., Matthews D.R., Cull C.A., Wright A.D., Turner R.C., Holman R.R. Association of systolic blood pressure with macrovascular and microvascular complications of type 2 diabetes (UKPDS 36): Prospective observational study. BMJ. 2000;321:412–419. doi: 10.1136/bmj.321.7258.412. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.Raman R., Gupta A., Krishna S., Kulothungan V., Sharma T. Prevalence and risk factors for diabetic microvascular complications in newly diagnosed type II diabetes mellitus. Sankara Nethralaya diabetic retinopathy epidemiology and molecular genetic study (SN-Dreams, report 27) J. Diabetes Complication. 2012;26:123–128. doi: 10.1016/j.jdiacomp.2012.02.001. [DOI] [PubMed] [Google Scholar]
  • 8.Zhang Z., Liu J., Wang H., Wu H., Wu X., Dong J., Liao L. Association between chemokine receptor 5 (CCR5) Delta32 gene variant and atherosclerosis: A meta-analysis of 13 studies. Int. J. Clin. Exp. Med. 2015;8:658–665. [PMC free article] [PubMed] [Google Scholar]
  • 9.McDonough C.W., Bostrom M.A., Lu L., Hicks P.J., Langefeld C.D., Divers J., Mychaleckyj J.C., Freedman B.I., Bowden D.W. Genetic analysis of diabetic nephropathy on chromosome 18 in African Americans: Linkage analysis and dense SNP mapping. Hum. Genet. 2009;126:805–817. doi: 10.1007/s00439-009-0732-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Tian C., Fang S., Du X., Jia C. Association of the c47t polymorphism in SOD2 with diabetes mellitus and diabetic microvascular complications: A meta-analysis. Diabetologia. 2011;54:803–811. doi: 10.1007/s00125-010-2004-5. [DOI] [PubMed] [Google Scholar]
  • 11.Abhary S., Hewitt A.W., Burdon K.P., Craig J.E. A systematic meta-analysis of genetic association studies for diabetic retinopathy. Diabetes. 2009;58:2137–2147. doi: 10.2337/db09-0059. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Petrovic D. Candidate genes for proliferative diabetic retinopathy. Bio. Med. Res. Int. 2013;2013:540416. doi: 10.1155/2013/540416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Lauria G., Ziegler D., Malik R., Merkies I.S., Waxman S.G., Faber C.G., group P.S. The role of sodium channels in painful diabetic and idiopathic neuropathy. Cur. Diabetes Rep. 2014;14:538. doi: 10.1007/s11892-014-0538-5. [DOI] [PubMed] [Google Scholar]
  • 14.Bour-Jordan H., Thompson H.L., Giampaolo J.R., Davini D., Rosenthal W., Bluestone J.A. Distinct genetic control of autoimmune neuropathy and diabetes in the non-obese diabetic background. J. Autoimmun. 2013;45:58–67. doi: 10.1016/j.jaut.2013.06.005. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Makuc J., Petrovic D. A review of oxidative stress related genes and new antioxidant therapy in diabetic nephropathy. Cardiovasc. Hematol. Agents. Med. 2011;9:253–261. doi: 10.2174/187152511798120949. [DOI] [PubMed] [Google Scholar]
  • 16.McAuley A.K., Wang J.J., Dirani M., Connell P.P., Lamoureux E., Hewitt A.W. Replication of genetic loci implicated in diabetic retinopathy. Invest. Ophthalmol. Visual Sci. 2014;55:1666–1671. doi: 10.1167/iovs.13-13559. [DOI] [PubMed] [Google Scholar]
  • 17.McKnight A.J., Currie D., Patterson C.C., Maxwell A.P., Fogarty D.G., Warren 3/UK GoKinD Study Group Targeted genome-wide investigation identifies novel snps associated with diabetic nephropathy. HUGO J. 2009;3:77–82. doi: 10.1007/s11568-010-9133-2. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.McKnight A.J., Maxwell A.P., Fogarty D.G., Sadlier D., Savage D.A., Warren 3/UK GoKinD Study Group Genetic analysis of coronary artery disease single-nucleotide polymorphisms in diabetic nephropathy. Nephrol. Dialysis Transplant. 2009;24:2473–2476. doi: 10.1093/ndt/gfp015. [DOI] [PubMed] [Google Scholar]
  • 19.Pfeiffer A., Schatz H. Diabetic microvascular complications and growth factors. Exp. Clin. Endocrinol. Diabetes. 1995;103:7–14. doi: 10.1055/s-0029-1211323. [DOI] [PubMed] [Google Scholar]
  • 20.Zhang Z., Dong J., Lobe C.G., Gong P., Liu J., Liao L. Ccr5 facilitates endothelial progenitor cell recruitment and promotes the stabilization of atherosclerotic plaques in APOE(-/-) mice. Stem Cell Res. Ther. 2015;6:36. doi: 10.1186/s13287-015-0026-0. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Van Gieson E.J., Skalak T.C. Chronic vasodilation induces matrix metalloproteinase 9 (MMP-9) expression during microvascular remodeling in rat skeletal muscle. Microcirculation. 2001;8:25–31. doi: 10.1080/713774014. [DOI] [PubMed] [Google Scholar]
  • 22.Chen D., Wang Q., Ma Z.W., Chen F.M., Chen Y., Xie G.Y., Wang Q.T., Wu Z.F. MMP-2, MMP-9 and TIMP-2 gene polymorphisms in Chinese patients with generalized aggressive periodontitis. J. Clin. Periodontol. 2007;34:384–389. doi: 10.1111/j.1600-051X.2007.01071.x. [DOI] [PubMed] [Google Scholar]
  • 23.Schveigert D., Valuckas K.P., Kovalcis V., Ulys A., Chvatovic G., Didziapetriene J. Significance of MMP-9 expression and MMP-9 polymorphism in prostate cancer. Tumori. 2013;99:523–529. doi: 10.1177/030089161309900414. [DOI] [PubMed] [Google Scholar]
  • 24.Singh K., Agrawal N.K., Gupta S.K., Singh K. A functional single nucleotide polymorphism -1562c > t in the matrix metalloproteinase-9 promoter is associated with type 2 diabetes and diabetic foot ulcers. Int. J. Lower Extremity Wounds. 2013;12:199–204. doi: 10.1177/1534734613493289. [DOI] [PubMed] [Google Scholar]
  • 25.Ahluwalia T.S., Khullar M., Ahuja M., Kohli H.S., Bhansali A., Mohan V., Venkatesan R., Rai T.S., Sud K., Singal P.K. Common variants of inflammatory cytokine genes are associated with risk of nephropathy in type 2 diabetes among Asian Indians. PLoS ONE. 2009;4:e5168. doi: 10.1371/journal.pone.0005168. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Beranek M., Kolar P., Tschoplova S., Kankova K., Vasku A. Genetic variations and plasma levels of gelatinase a (matrix metalloproteinase-2) and gelatinase b (matrix metalloproteinase-9) in proliferative diabetic retinopathy. Mol. Vis. 2008;14:1114–1121. [PMC free article] [PubMed] [Google Scholar]
  • 27.Liu K.Z., Chen Y.J., Wang Z.J., Li Y.K., Wen J.K. Association of matrix metalloproteinase-9 gene polymorphism to angiopathy in type 2 diabetes mellitus. Chin. J. Endocrinol. Metab. 2003;19:442–444. [Google Scholar]
  • 28.Pang M.L., Zhang X.M., Sun W.H., Xu H.B., Shi Z.M., Tian G. Study on the relationship between matrix metalloproteinase-9 gene-1562C/T polymorphism and diabetic nephropathy. Tianjin Med. J. 2010;38:644–647. [Google Scholar]
  • 29.Hao P.P., Chen Y.G., Wang J.L., Wang X.L., Zhang Y. Meta-analysis of aldehyde dehydrogenase 2 gene polymorphism and Alzheimer's disease in East Asians. Can. J. Neurol. Sci. 2011;38:500–506. doi: 10.1017/S0317167100011938. [DOI] [PubMed] [Google Scholar]
  • 30.Khairoun M., de Koning E.J., van den Berg B.M., Lievers E., de Boer H.C., Schaapherder A.F., Mallat M.J., Rotmans J.I., van der Boog P.J., van Zonneveld A.J., et al. Microvascular damage in type 1 diabetic patients is reversed in the first year after simultaneous pancreas-kidney transplantation. Am. J. Transplant. 2013;13:1272–1281. doi: 10.1111/ajt.12182. [DOI] [PubMed] [Google Scholar]
  • 31.Uemura S., Matsushita H., Li W., Glassford A.J., Asagami T., Lee K.H., Harrison D.G., Tsao P.S. Diabetes mellitus enhances vascular matrix metalloproteinase activity: Role of oxidative stress. Circ. Res. 2001;88:1291–1298. doi: 10.1161/hh1201.092042. [DOI] [PubMed] [Google Scholar]
  • 32.Salanti G., Sanderson S., Higgins J.P. Obstacles and opportunities in meta-analysis of genetic association studies. Genet. Med. 2005;7:13–20. doi: 10.1097/01.GIM.0000151839.12032.1A. [DOI] [PubMed] [Google Scholar]
  • 33.Mooyaart A.L., Valk E.J., van Es L.A., Bruijn J.A., de Heer E., Freedman B.I., Dekkers O.M., Baelde H.J. Genetic associations in diabetic nephropathy: A meta-analysis. Diabetologia. 2011;54:544–553. doi: 10.1007/s00125-010-1996-1. [DOI] [PMC free article] [PubMed] [Google Scholar]

Articles from International Journal of Environmental Research and Public Health are provided here courtesy of Multidisciplinary Digital Publishing Institute (MDPI)

RESOURCES