Literature DB >> 27648002

Regulatory SNPs Alter the Gene Expression of Diabetic Retinopathy Associated Secretary Factors.

Chian-Feng Chen1, Shiow-Wen Liou2, Hsin-Han Wu1, Chin-Hui Lin1, Li-Shan Huang3, Lin-Chung Woung4, Ching-Yao Tsai5.   

Abstract

OBJECTIVES: Diabetic retinopathy (DR) is a common microvascular complication in both type I and type II diabetes. Several previous reports indicated the serum centration of some secretary factors were highly associated with DR. Therefore, we hypothesis regulatory SNPs (rSNPs) genotype in secretary factors may alter these gene expression and lead to DR.
METHODS: At first, pyrosequencing were applying to screen the SNPs which present allele frequency different in DR and DNR. Then individual genotyping was processed by Taqman assays in Taiwanese DR and DNR patients. To evaluate the effect of SNP allele on transcriptional activity, we measured promoter activity using luciferase reporter constructs.
RESULTS: We found the frequencies of the CC, CG, and GG genotype of the rs2010963 polymorphism were 15.09%, 47.14%, and 37.74% in DR and 12.90%, 19.35%, and 67.74% in DNR, respectively (p = 0.0205). The prevalence of DR was higher (p = 0.00793) in patients with the CC or CG genotype (62.26% and 32.26% for DR and DNR, respectively) compared with the patients with the GG genotype. To evaluate the effect of rs2010963-C allele on transcriptional activity, we measured promoter activity using luciferase reporter constructs. The rs2010963-C reporter showed 1.6 to 2-fold higher luciferase activity than rs2010963-G in 3 cell lines.
CONCLUSION: Our data proposed rs2010963-C altered the expression level of VEGFA in different tissues. We suggested small increase but long term exposure to VEGFA may lead to DR finally.

Entities:  

Keywords:  DR; SNP; VEGFA.

Mesh:

Substances:

Year:  2016        PMID: 27648002      PMCID: PMC5027191          DOI: 10.7150/ijms.16345

Source DB:  PubMed          Journal:  Int J Med Sci        ISSN: 1449-1907            Impact factor:   3.738


Introduction

Diabetic retinopathy (DR) is a common microvascular complication of diabetes and causes new cases of blindness among adults 1, 2. It begins with mild nonproliferative abnormalities, follows by moderate and severe nonproliferative DR (NDR), and finally progresses to proliferative DR (PDR) 1, 2. Almost all patients with type 1 diabetes and more than 60% of patients with type 2 diabetes are expected to develop retinopathy during the first decade of occurrence of diabetes 3, 4. With the incidence of diabetes increasing in the world, the incidence of DR is expected to rise to alarming levels 5. Diabetes duration, poor glycemic control, and hypertension are known as the primary risk factors for development of DR 5, 6. However, some patients were found in clinical observation that had poorly controlled or long lasting duration diabetes but did not develop retinopathy, whereas others even with relatively good glycemic control developed advanced retinopathy eventually 7. These clinical observations suggested there are other factors involved in the development of DR. Recent studies suggest that genetic factors are important for DR. For example, a family study of Mexican-Americans with type 2 diabetes found that severe retinopathy in the proband is significantly associated with severe retinopathy in siblings 8. A study of identical twins found a concordance for DR in 68% of type 1 and 95% of type 2 diabetes cases 9. To explore the candidate genes associated with DR, several genome-wide associated studies were conducted to detect potential regions involved in the etiology of DR 10, 11. By gene approach studies, several potential candidate genes in DR has been reported such as receptor for advanced glycation end products (RAGE) 12, 13, vascular endothelial growth factor (VEGF) 14-17, erythropoietin (EPO) 13, 18 and pigment epithelium derived factor (PEDF) 13. However, these studies were not reproduced in multiple populations and molecular mechanism still remain unconfirmed. Single nucleotide polymorphism (SNP) is a DNA sequence variation occurring commonly within a population. This change in the DNA sequence may affect the process of gene expression if they occur in the putative regulatory region 19, 20. In several previous reports, the serum centration of some DR associated genes were highly associated with DR 21-27. Therefore, we hypothesis regulatory SNPs (rSNPs) genotype may alter gene expression of DR associated secretary factors.

Material and Methods

Sample collection

The study protocol was approved by the Research Ethics Committee of Taipei City Hospital (TCHIRB-990501, TCHIRB-1000103, and TCHIRB-1020404) and adhered to the tenets of the Declaration of Helsinki. Written informed consent was obtained from all participants before their enrollment. Eighty-four patients who had type 2 diabetes mellitus for more than 10 years (as defined by age of onset being later than 30 years of age) and exclusively used oral hypoglycemic agents were enrolled between time duration from the patient population of the Taipei City Hospital Zhongxing Branch. The criteria for diagnosis of diabetes were random blood sugars levels of over 150 mgs% and HbA1C levels of over 6%. A comprehensive ophthalmological examination included corrected visual acuity, slit-lamp biomicroscopy, and dilated fundus photography. Seven fields of 30°color fundus photographs with stereoscopic images of the optic disc and macula were taken through the dilated pupils of each patient, using a digital fundus camera (Kowa, Japan). Patients with no signs of diabetic retinopathy coupled with type 2 diabetes mellitus were assigned to the DNR study group. Patients with significant diabetic retinopathy as defined by eyes with definite neovascularization and/or vitreous/preretinal hemorrhages/microaneurysms were included in the DR study group.

Genotyping by Pyrosequencing

SNP screening analyses were performed by PSQ96MA System (Qiagen, Hilden, Germany) to determine the allele frequencies in DR and DNR population. Equal amount of genomic DNA (1ug/patient) from DR or DNR patients were equally mix as DR or DNR genomic DNA pools. Then the SNP containing DNA fragments were amplified by PCR. The internal pyrosequencing primer was designed and allele frequencies were analysis using PyroMark software (Qiagen, Hilden, Germany).

Individual Genotyping by TaqMan assays

Individual genotyping of SNPs in both DR and DNR was performed using TaqMan assays according to the manufacturer's instructions (Applied Biosystems, Foster City, CA). The DNA samples were extracted and purified from the peripheral lymphocytes according to the manufacture's protocol. The genotyping success rate was at least 98%.

Reporter Assay

We constructed four reporter plasmids encompassing - 1272 to - 225 bp of the VEGFA promoter (+1 relative to the first nucleotide of transcription start site) which could represent the genotypes of rs2010963. The rs2010963-C was obtained by PCR from using HEK293T cell DNA. The PCR products of the VEGFA promoter were ligated into pGL4 (Promega, Madison, WI). To avoid interference from other SNPs in the VEGFA promoter region, we constructed the rs2010963-G reporter vector using the point mutation kit (Agilent, Santa Clara, CA). After incubation for 24 h, cells which transfected with reporter plasmid were collected and analyzed for luciferase activity with Dual-Luciferase Reporter Assay System (Promega, Madison, WI).

Statistical analysis

We used the Golden Helix Package (Golden Helix, Inc., Bozeman, MT) for the statistical analysis of genotypes. The chi-square test was applied to compare discrete variables. The results were shown as hazard ratio and 95% confidence interval (CI). We considered P-values below 0.05 as statistically significant.

Results

Pyrosequencing for rSNPs Allele Frequencies in DR and DNR DNA Pools

We selected nine secretary factors as our candidates for their serum centration has been reported to associate with DR in previous reports 21-27. To explore the relation for the rSNP and the secretary factors, the SNPs which located on promoter region and minimal allele frequency > 10% in Mongoloid (information from dbSNP (http://www.ncbi.nlm.nih.gov/SNP/) were selected as screening candidates (Table 1). Pyrosequencing technology was applying for rSNP screening for it could determine the SNP allele frequencies in DNA pools 28. Taiwanese patients with type 2 diabetes and with or without any signs of DR were allocated to DR and DNR groups, respectively. Equal amount of genomic DNA from DR or DNR patients were equally mix as DR or DNR pools for pyrosequencing (Fig. 1A). We observed two SNPs (rs1570360 and rs2010963) presented about 10 % allele frequencies different between DR and DNR groups (Fig. 1B).
Table 1

rSNPs selection from 9 DR associated secretary factors.

GeneSNPLocationGenotype
CRPC-reactive proteinrs30930595' near geneA/G
rs27945215' near geneC/T
rs30912445' near geneA/C/T
HGFhepatocyte growth factorrs37355205' near geneA/G
IL6interleukin 6rs1800796intron 1C/G
PGFplacental growth factorrs7410955' near geneA/G
rs20058635' near geneG/T
SERPINF1serpin peptidase inhibitor, clade F, member 1rs129483855' near geneA/G
rs66498906intron 1A/G
rs62088170intron 1C/T
rs34107519intron 1A/G
rs72822439intron 1C/T
rs59409453intron 1A/G
rs62088172intron 1C/T
rs12450371intron 1C/T
TNFtumor necrosis factorrs17999645' near geneC/T
rs18006305' near geneA/C
rs17997245' near geneC/T
rs1800610intron 1A/G
VEGFAvascular endothelial growth factor Ars6999475' near geneA/C
rs10052305' near geneC/T
rs132073515' near geneA/G
rs15703605' near geneA/G
rs2010963exon 1 5'UTRC/G
rs25648exon 1C/G/T
VEGFBvascular endothelial growth factor Brs350909035' near geneC/T
VWFvon Willebrand factorrs79548555' near geneC/T
rs79654135' near geneC/T
rs2286608intron 1A/G
Figure 1

Allele frequency determine in DNA pool by pyrosequencing. A) The workflow of allele frequency determination in DNA pools by pyrosequencing. B) Minor allele frequency for 29 SNPs in DR and DNR pools.

Individual genotyping for rs1570360 and rs2010963 in patients

Both rs1570360 and rs2010963 were processed individual genotyping analysis by Taqman assays. There was no genotype different for rs1570360 in DR and DNR. However, the CC, CG, and GG genotypes of the rs2010963 polymorphism were 15.09%, 47.14%, and 37.74% in DR and 12.90%, 19.35%, and 67.74%, in DNR, respectively (p=0.0205) (Table 2). The prevalence of DR was higher (p=0.00793) in subjects with the CC or CG genotype (62.26% and 32.26% for DR and DNR) compared with that in patients careering with the GG genotype (Table 3). These results suggest that the C allele of the rs2010963 is dominant relative to the G allele.
Table 2

Genotype distribution of rs1570360 and rs2010963 in DR and DNR groups.

GeneSNPGenotypeDR(n=53)DNR(n=31)p-value
VEGFArs1570360GG3362.26%2064.52%
AG1833.96%1032.26%0.9757
AA23.78%13.22%
VEGFArs2010963GG2037.74%2167.74%0.0205
CG2547.17%619.35%
CC815.09%412.90%
Table 3

Dominant and recessive model analysis of rs2010963 in DR and DNR groups.

Genotypeodds ratio (95% CI)p-value
rs1570360AAAG+GG
DR (n=53)23.78%5196.22%1.1765 (0.1023~13.5314)0.8962
DNR(n=31)13.23%3096.77%
GGAG+AA
DR (n=53)3362.26%2037.74%0.9075 (0.361~2.2814)0.8365
DNR(n=31)2064.52%1135.48%
rs2010963CCCG+GG
DR (n=53)815.09%4584.91%1.2 (0.3298~4.3664)0.782
DNR(n=31)412.90%2787.10%
GGCG+CC
DR (n=53)2037.73%3362.26%0.2886 (0.1132~0.7357)0.0092
DNR(n=31)2167.74%1032.26%

Effect of the rs2010963 polymorphism on transcriptional activity

In previous studies of the VEGFA promoter, the rs2010963-G allele was suggested to generate the potential SP1 binding site 29, while the rs2010963-C generate potential GAPBα and the IRF1, 2 binding sites 30, 31. To indicate the polymorphism of rs2010963 alter the VEGFA transcriptional activity, we generated two luciferase reporter vectors of identical sequences except for rs2010963, spanning -1272 to -225 bp of the VEGFA promoter region (Fig.2A). The rs2010963-C reporter showed 1.61, 1.8, and 2-fold higher luciferase activity compared with rs2010963-G in A549, SW480, and SNU398 (Fig.2B). Our results suggest rs2010963-C produce more VEGFA in the cell lines from different tissues.
Figure 2

Effects of the rs2010963 variants on luciferase reporter expression. A) The construction map of pGL4 luciferase reporter containing VEGF promoter sequence with the allele C or G allele at SNP rs2010963. B) The reporter vector with the allele C or G allele at SNP rs2010963 were transfected into A549, sw480 and SNU398 cells.

Discussion

In this study, we analyzed the association of 29 rSNPs which selected from 9 DR associated secretary factors in an independent cohort of Taiwanese patients with type two diabetes. At first, pyrosequencing analysis the allele frequency showed rs1570360 and rs2010963 present about 10% different allele frequency between DR and DNR pools. Individual genotyping of all our patients indicated rs2010963-C allele significant association with DR. Furthermore, our luciferase reporter assay showed the rs2010963-C allele could enhance the expression of VEGFA. VEGF encompasses wide family of growth factors including VEGF-A,-B,-C,-D,-E, and placental growth factor (PGF) 32. The best known and most widely used in clinical practice is VEGFA. VEGFs promote angiogenesis, cause the breakdown of the blood retinal barrier, stimulate the growth of endothelial cell, induce neovascularization, and increase vascular permeability in the ischemic retina 6, 33, 34. Increased expression levels of VEGF and its receptors have been observed in DR patients 35, 36. Therefore, several anti-VEGF agents are developed to treat DR such as pegaptanib, ranibizumab, and bevacizumab 37-39. For the expression of VEGFA is important for the progression of DR, SNPs of VEGFA have been analyzed in several associated studies 14, 16, 34, 36, 40. Chromatin immunoprecipitation followed by sequencing (ChIP-seq) is an effective method to analyze the interaction of protein and DNA. The Encyclopedia of DNA Elements (ENCODE) project (https://genome.ucsc.edu/ENCODE/) has performed more than 500 ChIP-seq experiments for hundreds transcription factors in several cell lines. Base on the CHIP-seq data from ENCODE project, 12 transcription factors binding fragments were crossed the region of rs2010963 (sup Fig.1). One of the transcription factors, TBP (TATA box binding protein), has been indicated to correlate with the expression of VEGFA in previous report 41. In addition, our luciferase reporter assay provides direct evidence that rs2010963-C altered the expression level of VEGFA in 3 cell lines from different tissues. As we know VEGFA is a secreted factor and expressed in almost all the tissues 42. Even though our data showed that rs2010963-C increase 1.6 to 2 folds relative to rs2010963-G, it still could be possible to lead to DR by long term exposure. In summary, our study suggests that rs2010963 is an important genetic marker for DR in Taiwanese patients with type two diabetes. Moreover, our experiments provide a direct association between rs2010963-C and serum levels of VEGFA.
  42 in total

1.  Role of intravitreal inflammatory cytokines and angiogenic factors in proliferative diabetic retinopathy.

Authors:  Jinzi Zhou; Shuhong Wang; Xiaobo Xia
Journal:  Curr Eye Res       Date:  2012-03-12       Impact factor: 2.424

Review 2.  Diabetic retinopathy.

Authors:  David A Antonetti; Ronald Klein; Thomas W Gardner
Journal:  N Engl J Med       Date:  2012-03-29       Impact factor: 91.245

3.  Genome-wide meta-analysis for severe diabetic retinopathy.

Authors:  Michael A Grassi; Anna Tikhomirov; Sudha Ramalingam; Jennifer E Below; Nancy J Cox; Dan L Nicolae
Journal:  Hum Mol Genet       Date:  2011-03-26       Impact factor: 6.150

4.  A functional variant of vascular endothelial growth factor is associated with severe ischemic complications in giant cell arteritis.

Authors:  Blanca Rueda; Miguel A Lopez-Nevot; Maria J Lopez-Diaz; Carlos Garcia-Porrua; Javier Martín; Miguel A Gonzalez-Gay
Journal:  J Rheumatol       Date:  2005-09       Impact factor: 4.666

5.  Serum fetuin-A levels are independently correlated with vascular endothelial growth factor and C-reactive protein concentrations in type 2 diabetic patients with diabetic retinopathy.

Authors:  Zhong-Wei Zhou; Hui-Xiang Ju; Ming-Zhong Sun; Qing-Ping Fu; Hong-Mei Chen; Hong-Bin Ji; Fei Ji; Dong-Mei Jiang
Journal:  Clin Chim Acta       Date:  2016-02-04       Impact factor: 3.786

Review 6.  Pharmacotherapy for diabetic retinopathy.

Authors:  Grant M Comer; Thomas A Ciulla
Journal:  Curr Opin Ophthalmol       Date:  2004-12       Impact factor: 3.761

7.  Vascular endothelial growth factor up-regulates the expression of intracellular adhesion molecule-1 in retinal endothelial cells via reactive oxygen species, but not nitric oxide.

Authors:  Xiao-ling Zhang; Liang Wen; Yan-jiong Chen; Yi Zhu
Journal:  Chin Med J (Engl)       Date:  2009-02-05       Impact factor: 2.628

8.  Promoter polymorphism of the erythropoietin gene in severe diabetic eye and kidney complications.

Authors:  Zongzhong Tong; Zhenglin Yang; Shrena Patel; Haoyu Chen; Daniel Gibbs; Xian Yang; Vincent S Hau; Yuuki Kaminoh; Jennifer Harmon; Erik Pearson; Jeanette Buehler; Yuhong Chen; Baifeng Yu; Nicholas H Tinkham; Norman A Zabriskie; Jiexi Zeng; Ling Luo; Jennifer K Sun; Manvi Prakash; Rola N Hamam; Stephen Tonna; Ryan Constantine; Cecinio C Ronquillo; SriniVas Sadda; Robert L Avery; John M Brand; Nyall London; Alfred L Anduze; George L King; Paul S Bernstein; Scott Watkins; Lynn B Jorde; Dean Y Li; Lloyd Paul Aiello; Martin R Pollak; Kang Zhang
Journal:  Proc Natl Acad Sci U S A       Date:  2008-05-05       Impact factor: 11.205

9.  Association analysis of nine candidate gene polymorphisms in Indian patients with type 2 diabetic retinopathy.

Authors:  Suganthalakshmi Balasubbu; Periasamy Sundaresan; Anand Rajendran; Kim Ramasamy; Gowthaman Govindarajan; Namperumalsamy Perumalsamy; J Fielding Hejtmancik
Journal:  BMC Med Genet       Date:  2010-11-10       Impact factor: 2.103

10.  Placental growth factor contributes to micro-vascular abnormalization and blood-retinal barrier breakdown in diabetic retinopathy.

Authors:  Laura Kowalczuk; Elodie Touchard; Samy Omri; Laurent Jonet; Christophe Klein; Fatemeh Valamanes; Marianne Berdugo; Pascal Bigey; Pascale Massin; Jean-Claude Jeanny; Francine Behar-Cohen
Journal:  PLoS One       Date:  2011-03-07       Impact factor: 3.240

View more
  2 in total

Review 1.  Genetics of Diabetic Retinopathy.

Authors:  Jonathan Han; Leonardo Lando; Dorota Skowronska-Krawczyk; Daniel L Chao
Journal:  Curr Diab Rep       Date:  2019-07-29       Impact factor: 5.430

2.  IGF1 gene polymorphisms associated with diabetic retinopathy risk in Chinese Han population.

Authors:  Jian Zhang; Xiao Chen; Like Zhang; Yi Peng
Journal:  Oncotarget       Date:  2017-09-28
  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.