Literature DB >> 28905013

Common rs5918 (PlA1/A2) polymorphism in the ITGB3 gene and risk of coronary artery disease.

Mehri Khatami1, Mohammad Mehdi Heidari1, Sorour Soheilyfar2.   

Abstract

INTRODUCTION: The T to C transition at nucleotide 1565 of the human glycoprotein IIIa (ITGB3) gene represents a genetic polymorphism (PlA1/A2) that can influence both platelet activation and aggregation and that has been associated with many types of disease. Here, we present a newly designed multiplex tetra-primer amplification refractory mutation system - polymerase chain reaction (T-ARMS-PCR) for genotyping a single nucleotide polymorphism (SNP) (dbSNP ID: rs5918) in the human ITGB3 gene.
MATERIAL AND METHODS: We set up T-ARMS-PCR for the rs5918 SNP in a single-step PCR and the results were validated by the PCR-RFLP method in 132 coronary artery disease (CAD) patients and 122 unrelated healthy individuals.
RESULTS: Full accordance was found for genotype determination by the PCR-RFLP method. The multiple logistic regression analysis showed a significant association of the rs5918 polymorphism and CAD according to dominant and recessive models (dominant model OR: 2.40, 95% CI: 1.33-4.35; p = 0.003, recessive model OR: 4.71, 95% CI: 1.32-16.80; p = 0.0067).
CONCLUSIONS: Our T-ARMS-PCR in comparison with RFLP and allele-specific PCR is more advantageous because this PCR method allows the evaluation of both the wild type and the mutant allele in the same tube. Our results suggest that the rs5918 (PlA1/A2) polymorphism in the ITGB3 gene may contribute to the susceptibility of sporadic Iranian coronary artery disease (CAD) patients.

Entities:  

Keywords:  T-ARMS-PCR; coronary artery disease; glycoprotein IIIa PlA1/A2 polymorphism; rs5918

Year:  2016        PMID: 28905013      PMCID: PMC5421535          DOI: 10.5114/amsad.2016.59587

Source DB:  PubMed          Journal:  Arch Med Sci Atheroscler Dis        ISSN: 2451-0629


Introduction

Coronary artery disease (CAD) is most commonly due to atherosclerotic occlusion of the coronary arteries and is the leading cause of death worldwide for both men and women [1]. Coronary artery disease occurs when plaque builds up inside the coronary arteries and can involve many blood vessels with a variety of presentations [2]. This can lead to coronary artery disease or heart failure and arrhythmias. The conventional risk factors for CAD such as elevated cholesterol, hypertension, obesity, and smoking were well associated with 30–40% increasing in mortality and morbidity [3]. Multiple epidemiological, family, and other factors have documented a genetic predisposition for CAD [4]. Most polygenic diseases such as CAD are due to several common genes and have their genetic predisposition transmitted by multiple genes [5]. In polygenic disorders many DNA markers and single nucleotide polymorphisms (SNPs) of unrelated individuals need to be analyzed by different methods. A greater frequency of a SNP in patients indicates the SNP is in close proximity to a genetic risk variant for the disease. These variants strongly show the importance of a genetic predisposition for CAD and also confirm that these SNPs are even more common than expected [6]. However, it is well recognized that certain genes will relate to plaque rupture and/or thrombosis, and the beginning of the process of atherosclerosis. Glycoprotein IIIa (GPIIIa) or the beta subunit of the platelet membrane adhesive protein receptor complex GP IIb/IIIa is coded by the ITGB3 gene, and is a surface protein found in various tissues, participating in cell-surface mediated signaling and cell adhesion [7]. The exons and introns of the entire ITGB3 gene have been demonstrated to contain many polymorphic regions, one of which was found to be associated with cardiovascular diseases. This common ITGB3 polymorphism at codon 33 of exon 2 (T1565C, dbSNP ID: rs5918) corresponds to the polymorphism of amino acid residues (leucine/proline) at position 33 (PlA1/A2) of the polypeptide chain. It has been reported that this SNP is a risk factor of many types of disease, such as myocardial infarction [8], coronary heart disease, type 2 diabetes, asthma [9, 10], many cancers including colon, non-Hodgkin lymphoma [11], breast [12-14] ovarian cancer [15] and kidney cancer [16]. It has also been documented that the platelets bearing the β3 subunit of integrin αIIbβ3 with a proline at position 33 are characterized by an increased risk for aggregation and immunogenic properties of platelets [3, 4]. Since the amount of platelet aggregates is increased in carriers of the PlA2 allele with CAD, it is of interest to determine whether this polymorphic variant is associated with this disease. The previous data on the association of the polymorphic marker PlA1/A2 of the ITGB3 gene with both arterial and venous thrombosis in various ethnic groups [5, 6] are contradictory [17, 18]. The presence of the PlA2 allele is associated with an increased binding affinity to fibrinogen as well as with platelet aggregability in response to epinephrine, adenosine diphosphate and collagen in vitro [19]. Several studies have suggested that the PlA2 allelic variant causes an altered sensitivity to aspirin and an increased sensitivity to platelet aggregation by various agonists [20, 21]. Single nucleotide polymorphism (SNP) genotyping has been done by PCR-RFLP, real time-PCR and direct sequencing methods [22-24]. These techniques have certain limitations and are relatively slow and very expensive, and fewer reactions are catalyzed per kit in comparison to the tetra primer-amplification refractory mutation system-PCR (T-ARMS-PCR). With this method, the genotyping could be done using only a thermocycler machine at the least time, and can be used to genotyping of essential SNPs in the entire genome. In conventional ARMS PCR, the amplification of the normal and mutant allele is done in two separate reactions, but in T-ARMS-PCR, we can amplify both the normal and mutant allele with a control fragment in a single reaction. In the T-ARMS-PCR method two outer, non-allele-specific primers and two inner, allele-specific primers in opposite orientation to each other are used. The outer primers amplify a large fragment of the target gene containing a variant nucleotide as a control fragment and smaller allele-specific amplicons with different sizes that can easily be discriminated in gel electrophoresis either as homozygous or heterozygous. A deliberate mismatch at position 2nd or 3rd nucleotide from the 3′ terminal end of the inner primers can improve allele specificity [25]. The results of a meta-analysis of research showed that the PlA2 variant was associated with an increased risk of coronary heart disease [26, 27]. Some reports suggest that PlA1/A2 heterozygotes are prone to thrombotic disease, whereas PlA1/A1 homozygotes may be prone to early atherosclerosis and more rapid progression of stable coronary artery disease [10]. Presently, we are developing a rapid single-step method using T-ARMS-PCR for detection of Leu33Pro (PlA1/A2), which is a possible SNP in cardiovascular diseases studies.

Material and methods

Patients and DNA extraction

This study was performed on 132 patients selected from 412 patients who referred to cardiac centers in Afshar Hospital (Yazd, Iran) due to symptoms of myocardial infarction between 2012 and 2015. Patients had major lesions (> 50% narrowing of luminal diameter) in one, two, or three vessels (LAD, LCX, and RCA) that were candidate vessels for coronary artery bypass graft surgery. CAD patients were identified according to the coronary angiography guidelines [28]. When up to 50% blockage was observed in the major epicardial coronaries and their branches associated with stenotic lesions, coronary arterial disease was considered to be present. We also chose 122 unrelated healthy individuals matched for age, sex, and ethnicity with normal or near-normal angiography reports (no lesion greater than 30%) as a control group (Table I). All of the patients and the control group were informed of the aims of the study and gave their informed consent for the genetic analysis. Genomic DNA was isolated from the peripheral blood samples using a DNA isolation kit (DNAfast Kit-Genfanavaran, Tehran, Iran).
Table I

Clinical characteristics of coronary atherosclerosis patients

ParameterPatients (n = 132)Controls (n = 122) P-value
Male gender (%)75710.670
Age [years]52.6 ±6.852.6 ±6.90.56
Smokers (%)28230.517
Body mass index [kg/m2]26.1 ±2.425.3 ±1.90.0012
Cholesterol [mg/dl]214.9 ±52.8181.1 ±36.80.001
LDL-C [mg/dl]128.7 ±43.4118.2 ±44.10.145
HDL-C [mg/dl]45.4 ±8.546.9 ±11.20.456
TGs [mg/dl]205.7 ±102.1153.4 ±96.10.014
Clinical characteristics of coronary atherosclerosis patients

Primer design and bioinformatics analysis

A common missense rs5918 (PlA1/A2) polymorphism in the ITGB3 gene was selected (http://www.ncbi.nlm.nih.gov/books/SNP). The four primers used in this research were designed by the online website Primer1: http://primer1.soton.ac.uk/primer1.html. The specificity of the primers was checked by the ‘BLAST’ program at http://www.ncbi.nlm.nih.gov/blast (Table II). To enhance the specificity of inner primers, at the 3rd nucleotide from the 3’-terminus changes to destabilizing mismatch.
Table II

PCR primers and conditions

ITGB3 (SNP ID: rs5918)Primer sequenceTemperature [ºC]Amplicon size
Fo: 5’-GGATTATCCCAGGAAAGACCAC66T allele (284 bp)C allele (179 bp)Control band (424 bp)
Ro: 5’-GACTTCCTCCTCAGACCTCCAC-3’70
Fi: 5’-TGTCTTACAGGCCCTGCCGCT-3’68
Ri: 5’-GGTCACAGCGAGGTGAGCACG-3’70
PCR primers and conditions SWISS-MODEL (http://swissmodel.expasy.org) was used for protein modeling of mutant protein. SWISS-MODEL is a fully automated protein structure homology-modeling server. The PyMol software was used for visualizing the effect of the altered residue on the protein structure.

T-ARMS-PCR and PCR-RFLP analysis

Polymerase chain reaction was performed in a total volume of 12.5 µl containing 50 ng of template DNA, 250 nM of each primer, 250 µM dNTPs, 1.5 mM MgCl2, 1X buffer and 0.5 U of Taq polymerase (Yekta Tajhiz Azma, Tehran, Iran). PCR amplification (touchdown) was carried out at 95ºC for 2 min, followed by denaturation at 95ºC for 20 s, first annealing at 68ºC (10 cycles), further (25 cycles) annealing at 69ºC for 1 min and extension at 72ºC for 50 s, followed by a final extension for 5 min. Non-denaturation polyacrylamide gel electrophoresis (6%) and silver staining were used for detection of PCR products. This procedure rendered 2 bands in homozygotes (PlA1/A1 resulting in 424 and 285 bp, and PlA1/A1 resulting in 424 and 180 bp) and 3 bands in heterozygotes (424, 285 and 180 bp). Figure 1 shows the products of tetra-primer ARMS-PCR for 5 different genomic DNA samples.
Figure 1

A – Results of T-ARMS-PCR of ITGB3 polymorphism (rs5918); B – validation using PCR-RFLP by MspI restriction endonuclease

A – Results of T-ARMS-PCR of ITGB3 polymorphism (rs5918); B – validation using PCR-RFLP by MspI restriction endonuclease In this study, the concentration of PCR components such as primers, magnesium chloride, dNTP and Taq DNA polymerase were optimized. Beside PCR components, the PCR conditions were also optimized. The forward (Fo) and reverse (Ro) primers were used to amplify the 424-bp fragment. The 424-bp product was digested with 5U MspI restriction enzyme for 16 h. Fragments were separated by electrophoresis using 6% polyacrylamide gel electrophoresis. The resulting fragments were 332, 86 and 6 bp for the PlA1 allele and 173, 159, 86 and 6 bp for the PlA2 allele (Figure 1).

Statistical analysis

The SPSS software (IBM SPSS 22, SPSS Inc., Chicago, IL., USA) was used for statistical analysis. The association between two groups was examined by the χ2 goodness-of-fit test. Multiple logistic regression models (co-dominant, dominant and recessive) were employed to analysis the genetic data. Values of p < 0.05 were regarded as statistically significant.

Results

Total DNA samples analyzed with T-ARMS-PCR were re-evaluated by PCR-RFLP analysis using the restriction enzyme MspI. We obtained 100% accordance between both methods for genotype determination. Mean age (mean ± SD) was 53.9 ±6.8 and 52.6 ±6.9 years for patients and controls, respectively. Coronary angiography revealed 132 patients (CAD+ group) with one vessel (LAD) (n = 31), two vessels (LCX) (n = 51), or three vessels (RCA) (n = 49) that were candidate vessels for coronary artery bypass grafting (CABG) and 122 patients (CAD– group) with no angiographically identified narrowing. Genotype distributions and allelic frequencies of the ITGB3 polymorphism among CAD patients and controls are shown in Table III. The frequency of the ITGB3 C allele was significantly higher in the CAD patients than in the control group (p < 0.001).
Table III

Genotype and allele variant frequencies in patients and controls

ITGB3(rs5918)Patients (n = 132)Controls (n = 122)OR (95% CI) P-value
Codominant model:
 TT88 (66.67%)101 (85.2%)1
 TC30 (22.7%)18 (14.8%)0.523 (0.273–1.002)0.051
 CC14 (10.6%)3 (0.0%)0.187 (0.052–0.671)0.010
Dominant model:
 TT88 (66.7%)101 (82.8%)
 TC + CC44 (33.3%)21 (17.2%)2.40 (1.33–4.35)0.003
Recessive model:
 CC14 (10.6%)3 (2.5%)
 TC + TT118 (89.4%)119 (97.5%)4.71 (1.32–1.608)0.0067
Allele frequency:
 T206 (78.0%)220 (90.2%)
 C58 (22.00%)24 (9.8%)0.387 (0.232–0.644)< 0.001

OR – odds ratio, CI – confidence interval.

Genotype and allele variant frequencies in patients and controls OR – odds ratio, CI – confidence interval. The multiple logistic regression analysis showed a significant association of the rs5918 polymorphism and CAD according to dominant and recessive models (dominant model OR: 2.40, 95% CI: 1.33–4.35; p = 0.003, recessive model OR: 4.71, 95% CI: 1.32–16.80; p = 0.0067) (Table III).

Discussion

So far, several variants of the ITGB3 gene have been described [27]. The correlation of the rs5918 polymorphism with the incidence of CAD was first reported by Marian et al. [29]. In the present study, the allele and genotype frequencies of the polymorphic marker PlA1/A2 of the ITGB3 gene were determined in a group of patients with CAD and control subjects. Weiss et al. demonstrated the association of the PlA2 allele with the risk of cardiovascular diseases [30]. PlA2 allele frequency was significantly higher in CAD patients than in control subjects. The frequency distributions of different genotypes and alleles using techniques for detection of the ITGB3 gene in other population studies are described in Table IV [22, 24, 31–33].
Table IV

Distribution of ITGB3 polymorphism in current study in comparison with previously published data

StudyPopulationNGenotype (%)Allele (%)Genotyping platform
(rs5918 SNP)TTTCCCTC
Our studyIranian25474.418.96.783.916.1T-ARMS-PCR
Torabi et al. Iranian2007014167723PCR-RFLP
Nikolajevic-Starcevic et al. Slovenia3424736.816.265.534.5PCR-RFLP
Zhang et al. Chinese6229640982High-resolution melting analysis (HRM)
Yilmaz et al. Turkish18483.7133.390.29.8PCR-RFLP
Bianconi et al. Austrian10979.817.42.888.511.5PCR-RFLP
Distribution of ITGB3 polymorphism in current study in comparison with previously published data Protein modeling based on human ITGB3 protein structure (pdb id: 4g1m) shows that L33 is located on the beta strand of the extracellular domain. ITGB3 is a heterodimer composed of noncovalently associated a and b subunits. These subunits have a large extracellular domain, a single transmembrane region, and a short cytoplasmic domain [12, 33]. The L33P change lies in the N-terminal of ITGB3. An analysis of the ITGB3 wild-type and L33P mutant-derived protein structure using the SWISS-MODEL server indicates that three-dimensional structure of the protein is disrupted in the mutant (Figure 2).
Figure 2

Molecular model of human ITGB3 protein base in PDB file 4g1m showing close-up of the L33 (A) and P 33 residues (B) using PyMol

Molecular model of human ITGB3 protein base in PDB file 4g1m showing close-up of the L33 (A) and P 33 residues (B) using PyMol In general, the allele and genotype frequency distributions in the Iranian population were similar to those in other populations. Thus, the results of our study suggest that the polymorphic variant PlA1/A2 is associated with CAD in the Iranian population. The common ITGB3 studies have utilized MspI digestion to identify the rs5918 polymorphism. Because this polymorphism is a risk factor in many diseases including cardiovascular diseases and cancers, here we developed a rapid, sensitive and one-step tetra-primer PCR-ARMS method for detection of the rs5918 polymorphism. The most critical step for successful development of the new multiplex tetra-primer amplification refractory mutation system-PCR method is the primer design. In this study, the primers for amplification of ITGB3 rs5918 were designed using the online website Primer1: http://primer1.soton.ac.uk/primer1.html. Both the outer primers were designed with 21 base pairs (bp) in length and the inner primers were designed with 22 bp with a guanine and adenine located at the 3rd nucleotide from the 3’-terminus for forward (wild type allele) and reverse (mutant allele) primers to increase their specificity for the template DNA. Our T-ARMS-PCR in comparison with RFLP and allele-specific PCR is more advantageous because this PCR method allows the evaluation of both the wild type and mutant allele in the same tube. This assay is a reproducible and stable single-tube reaction. In conclusion, our T-ARMS-PCR needs only a small amount of traditional PCR reagents, without special equipment. Our results suggest that the rs5918 (PlA1/A2) polymorphism in the ITGB3 gene may contribute to the susceptibility to sporadic CAD. Therefore, this procedure could be used in most clinical diagnostic laboratories.
  33 in total

1.  Increased risk of ovarian cancer in integrin beta3 Leu33Pro homozygotes.

Authors:  S E Bojesen; S K Kjaer; E V S Høgdall; B L Thomsen; C K Høgdall; J Blaakaer; A Tybjaerg-Hansen; B G Nordestgaard
Journal:  Endocr Relat Cancer       Date:  2005-12       Impact factor: 5.678

2.  Platelet glycoprotein IIIa PlA polymorphism and myocardial infarction.

Authors:  A J Marian; R Brugada; N S Kleiman
Journal:  N Engl J Med       Date:  1996-10-03       Impact factor: 91.245

3.  Genetic variation in platelet integrin alphabeta (GPIIb/IIIa) and the metastatic potential of renal cell carcinoma.

Authors:  Jukka P Kallio; Jussi Mikkelsson; Teuvo L J Tammela; Pekka J Karhunen; Pirkko Kellokumpu-Lehtinen
Journal:  BJU Int       Date:  2006-07       Impact factor: 5.588

4.  Meta-analysis of the association of platelet glycoprotein IIIa PlA1/A2 polymorphism with myocardial infarction.

Authors:  M M Zhu; J Weedon; L T Clark
Journal:  Am J Cardiol       Date:  2000-11-01       Impact factor: 2.778

5.  A1/A2 polymorphism of the glycoprotein IIIa gene and diabetic retinopathy in Caucasians with type 2 diabetes.

Authors:  Jovana Nikolajević-Starčević; Mojca Globočnik Petrovič; Daniel Petrovič
Journal:  Clin Exp Ophthalmol       Date:  2011-04-04       Impact factor: 4.207

6.  Changing patterns of ST elevation myocardial infarction epidemiology.

Authors:  Leonardo Bolognese
Journal:  Am Heart J       Date:  2010-12       Impact factor: 4.749

Review 7.  Genetic and environmental factors modulating serum concentrations and activities of the antioxidant enzyme paraoxonase-1.

Authors:  Sara P Deakin; Richard W James
Journal:  Clin Sci (Lond)       Date:  2004-11       Impact factor: 6.124

Review 8.  The genetic basis of coronary artery disease: from candidate genes to whole genome analysis.

Authors:  Massimo Franchini; Flora Peyvandi; Pier Mannuccio Mannucci
Journal:  Trends Cardiovasc Med       Date:  2008-07       Impact factor: 6.677

9.  A polymorphism of a platelet glycoprotein receptor as an inherited risk factor for coronary thrombosis.

Authors:  E J Weiss; P F Bray; M Tayback; S P Schulman; T S Kickler; L C Becker; J L Weiss; G Gerstenblith; P J Goldschmidt-Clermont
Journal:  N Engl J Med       Date:  1996-04-25       Impact factor: 91.245

10.  Genetic variation of ITGB3 is associated with asthma in Chinese Han children.

Authors:  Yan Zhang; Yuling Han; Liang Dong; Huafeng Yu; Lu Cheng; Xiuxia Zhao; Mingjie Ding
Journal:  PLoS One       Date:  2013-02-22       Impact factor: 3.240

View more
  4 in total

1.  Genetic risk score (GRS) constructed from polymorphisms in the PON1, IL-6, ITGB3, and ALDH2 genes is associated with the risk of coronary artery disease in Pakistani subjects.

Authors:  N A Shabana; Sana Ashiq; Anam Ijaz; Fizah Khalid; Istabsar Ul Saadat; Kahkashan Khan; Sumbal Sarwar; Saleem Ullah Shahid
Journal:  Lipids Health Dis       Date:  2018-09-27       Impact factor: 3.876

2.  A Signature for Smoking Status of Coronary Heart Disease Patients through Weighted Gene Coexpression Network Analysis.

Authors:  Zhenglu Shang; Jiashun Sun; Jingjiao Hui; Yanhua Yu; Xiaoyun Bian; Bowen Yang; Kewu Deng; Li Lin
Journal:  Comput Math Methods Med       Date:  2022-01-18       Impact factor: 2.238

3.  The association between two genetic polymorphisms in ITGB3 and increase risk of venous thromboembolism in cancer patients in Eastern Province of Saudi Arabia.

Authors:  Asma Y Alsulaim; Faisal Azam; Tunny Sebastian; Fathelrahman Mahdi Hassan; Sayed AbdulAzeez; J Francis Borgio; Faisal M Alzahrani
Journal:  Saudi J Biol Sci       Date:  2021-08-27       Impact factor: 4.219

4.  Prevalence of CYP2C19 and ITGB3 polymorphisms among Bangladeshi patients who underwent percutaneous coronary intervention.

Authors:  Md Rabiul Islam; Tasnova Tasnim Nova; Nam Momenuzzaman; Sikder Nahidul Islam Rabbi; Ishrat Jahan; Thomas Binder; Mohammad Safiqul Islam; Abul Hasnat; Zabun Nahar
Journal:  SAGE Open Med       Date:  2021-08-26
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.