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The Relationships between Polymorphisms in Genes Encoding the Growth Factors TGF-β1, PDGFB, EGF, bFGF and VEGF-A and the Restenosis Process in Patients with Stable Coronary Artery Disease Treated with Bare Metal Stent

  • Tadeusz Osadnik ,

    tadeusz.osadnik@sccs.pl

    Affiliations Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland, Genomics Laboratory, Kardio-Med Silesia Science and Technology Park, Zabrze, Poland

  • Joanna Katarzyna Strzelczyk,

    Affiliation Department of Medical and Molecular Biology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • Rafał Reguła,

    Affiliation Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • Kamil Bujak,

    Affiliation Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • Martyna Fronczek,

    Affiliations Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland, Genomics Laboratory, Kardio-Med Silesia Science and Technology Park, Zabrze, Poland

  • Małgorzata Gonera,

    Affiliation Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • Marcin Gawlita,

    Affiliation Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • Jarosław Wasilewski,

    Affiliation Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • Andrzej Lekston,

    Affiliation Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • Anna Kurek,

    Affiliation Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • Marek Gierlotka,

    Affiliation Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • Przemysław Trzeciak,

    Affiliation Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • Michał Hawranek,

    Affiliation Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • Zofia Ostrowska,

    Affiliation Department of Medical and Molecular Biology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • Andrzej Wiczkowski,

    Affiliation Department of Medical and Molecular Biology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • Lech Poloński,

    Affiliation Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  •  [ ... ],
  • Mariusz Gąsior

    Affiliation Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland

  • [ view all ]
  • [ view less ]

Abstract

Background

Neointima forming after stent implantation consists of vascular smooth muscle cells (VSMCs) in 90%. Growth factors TGF-β1, PDGFB, EGF, bFGF and VEGF-A play an important role in VSMC proliferation and migration to the tunica intima after arterial wall injury. The aim of this paper was an analysis of functional polymorphisms in genes encoding TGF-β1, PDGFB, EGF, bFGF and VEGF-A in relation to in-stent restenosis (ISR).

Materials and Methods

265 patients with a stable coronary artery disease (SCAD) hospitalized in our center in the years 2007–2011 were included in the study. All patients underwent stent implantation at admission to the hospital and had another coronary angiography performed due to recurrence of the ailments or a positive result of the test assessing the coronary flow reserve. Angiographically significant ISR was defined as stenosis >50% in the stented coronary artery segment. The patients were divided into two groups–with angiographically significant ISR (n = 53) and without significant ISR (n = 212). Additionally, the assessment of late lumen loss (LLL) in vessel was performed. EGF rs4444903 polymorphism was genotyped using the PCR-RFLP method whilst rs1800470 (TGFB1), rs2285094 (PDGFB) rs308395 (bFGF) and rs699947 (VEGF-A) were determined using the TaqMan method.

Results

Angiographically significant ISR was significantly less frequently observed in the group of patients with the A/A genotype of rs1800470 polymorphism (TGFB1) versus patients with A/G and G/G genotypes. In the multivariable analysis, LLL was significantly lower in patients with the A/A genotype of rs1800470 (TGFB1) versus those with the A/G and G/G genotypes and higher in patients with the A/A genotype of the VEGF-A polymorphism versus the A/C and C/C genotypes. The C/C genotype of rs2285094 (PDGFB) was associated with greater LLL compared to C/T heterozygotes and T/T homozygotes.

Conclusions

The polymorphisms rs1800470, rs2285094 and rs6999447 of the TGFB1, PDGFB and VEGF-A genes, respectively, are associated with LLL in patients with SCAD treated by PCI with a metal stent implantation.

Background

After percutaneous coronary intervention (PCI), neutrophils and leukocytes accumulate in the arterial wall, and an increase in the levels of inflammatory response mediators is observed. Histological analyses have revealed that in patients with a metal stent implanted, during the first week after the procedure, the neointima consists of 60% smooth muscle cells (vascular smooth muscle cells [VSMCs]) and 30% neutrophils [1]. In successive weeks following the procedure, the neutrophil ratio decreases, and VSMCs represent over 90% of neointima cells [1]. Through a series of processes, mechanical injuries of vessel walls result in VSMC activation and proliferation and a phenotype change from contractile to proliferative and secretory [2]. The increase in VSMC proliferation leads to gradual narrowing of the vessel lumen (in-stent restenosis [ISR]). Growth factors, including transforming growth factor beta 1 (TGF-β1), platelet-derived growth factor beta (PDGFB) [3], epidermal growth factor (EGF) [4] and basic fibroblast growth factor (bFGF), play an important role in smooth muscle cell (SMC) proliferation and migration to the tunica intima [3]. Numerous studies of restenosis have also indicated a role of vascular endothelial growth factor A (VEGF-A) in this phenomenon [58].

The effects of TGF-β1 on VSMCs and its role in the restenosis process have been the subject of numerous studies [912]. Some reports indicate that TGF-β1 levels, and possibly activity, may depend on genetic factors [13], including the rs1800470 polymorphism. A recently published study examined the relationship between TGFB1 polymorphisms and restenosis in the Mestizo population [14].

The association of the rs2285094 polymorphism of the PDGFB gene, which is located in an intron near an mRNA splice site, with the development of type 1 diabetes [15], IgA nephropathy [16], and scleroderma [17] has been analysed. The rs308395 polymorphism within the bFGF gene promoter may influence transcription factors binding, and thus bFGF expression [18,19]. The rs4444903 polymorphism (A61G) within the EGF gene promoter region is associated with EGF levels and various neoplastic diseases [20,21]. The rs699947 polymorphism of the VEGF-A gene is associated with a higher risk of developing certain neoplastic diseases [22] and, in cardiology, with the development of collateral circulation [23] or a response to anti-hypertensive therapy [24]. Although the roles of these growth factors [38] in restenosis are known, only one paper has described the role of TGFB1 gene polymorphisms in restenosis, whereas the roles of functional polymorphisms in the genes encoding PDGFB, bFGF, EGF and VEGF-A in restenosis have not been studied. The aim of this paper was to analyse the relationship between polymorphisms in the TGFB1, PDGFB, bFGF, EGF and VEGF-A genes and ISR in patients with stable coronary artery disease (SCAD).

Materials and Methods

The methods were described previously [25]. Briefly, we enrolled 265 patients with 322 lesions subjected to implantation of at least one bare metal stent and who had subsequent coronary angiography performed because of the recurrence of angina symptoms or a positive result of non-invasive cardiac stress tests. Quantitative coronary angiography (QCA) was used to assess minimal lumen diameter, percent of lumen stenosis and vessel diameter before and after stent implantation and during subsequent coronary angiography. Significant restenosis was defined as the narrowing of the vessel lumen by >50% within or up to 5 mm of the previously implanted stent. Late lumen loss (LLL) was calculated by subtracting the diameter, in millimetres, of the stented segment measured in the follow-up coronary angiography from the vessel lumen measured directly after the stenting procedure. The cardiologists performing the QCA analyses were blinded to the results of the researchers performing the genotyping analysis and vice versa.

Genetic studies

DNA was extracted from blood samples using the GeneMatrix Quick Blood DNA Purification Kit (EURX, Poland) according to the manufacturer’s instructions. High-quality DNA was extracted from all samples, with an average yield of 51.7 μg (range 5–460 μg).

The EGF gene was genotyped using the PCR-RFLP (Polymerase Chain Reaction—Restriction Fragment Length Polymorphism) method, whereas the PDGFB, VEGF-A, TGFB1 and bFGF genes were genotyped using 5' exonuclease TaqMan genotyping assays.

Genotyping of the EGF gene using PCR-RFLP.

The EGF gene was genotyped using the PCR-RFLP method using the primers described by Shahbazi et al. [26].

PCR reaction mixtures with a final volume of 25 μl contained the following: 2 μl of genomic DNA, 0.2 μl of 25 mM dNTP Mix (containing dATP, dCTP, dGTP, and dTTP), 1.2 μl of 10 μM forward and reverse primers (Genomed, Poland), 2.5 μl of DyNAzyme Buffer (Thermo Scientific, USA), 0.3 μl of DyNAzyme II DNA Polymerase (2 U/μl; Thermo Scientific, USA) and 17.6 μl of molecular grade water (Qiagen, Germany). The following primers were used: 5'-TGTCACTAAAGGAAAGGAGGT-3' in the forward direction and 5'-TTCACAGAGTTTAACAGCCC-3’ in the reverse direction. The PCR reaction was performed in a Mastercycler Personal thermocycler (Eppendorf, Germany), and the conditions were 5 min of initial denaturation at 95°C, followed by 35 cycles of denaturation at 95°C for 45 s, annealing at 57°C for 45 s and extension at 72°C for 45 s and a final extension at 72°C for 10 min. The length of the amplified EGF fragment was 242 bp. The PCR product was digested by AluI to type the EGF 61A/G polymorphism by RFLP analysis. The PCR product was digested at 37°C for 12 h in a Mastercycler Personal thermocycler (Eppendorf, Germany) in a solution containing 5 μl of PCR product, 1 μl of AluI restriction enzyme (10 U/μL, Thermo Scientific, USA), 1 μl of 10X Buffer Tango (Thermo Scientific, USA), and 3 μl of molecular grade water (Qiagen, Germany) per reaction. Then, AluI was inactivated by incubation at 65°C for 20 min. The digestion products of EGF were separated on 2% agarose gel (Sigma, USA), stained with ethidium bromide (Serva, Germany), and photographed on a UV transilluminator. The sizes of the fragments were compared to the positions of the molecular weight marker (GeneRulerTM 100 bp DNA Ladder, MBI Fermentas, Lithuania). AluI cleaved the 242-bp PCR product into fragments of 15, 34 and 193 bp fragments for GG homozygotes and 15, 34, 91 and 102 bp for AA homozygotes.

Genotyping the PDGFB, bFGF, EGF and TGFB1 genes using the TaqMan assay.

To identify single nucleotide polymorphisms (SNPs) of the PDGFB, VEGF-A, bFGF, and TGFB1 genes, 5' exonuclease TaqMan genotyping assays on a 7300 Real-Time PCR System and SDS 1.4 Allelic Discrimination software (Applied Biosystems, USA) were used. The TaqMan genotyping assays used the 5’ nuclease analysis to amplify and detect specific SNP alleles. Each assay contained two primers and two TaqMan MGB probes to detect alleles. The MGB probes consisted of a reporter dye: VIC dye at the 5’ end of the allele 1 probe, 6FAM dye linked to the 5’ end of the allele 2 probe, a minor groove binder, and a non-fluorescent quencher (NFQ) at the 3’ end of each probe. During the data analysis, an increase in VIC dye fluorescence was observed for homozygosity of allele 1, whereas an increase in 6FAM dye fluorescence was observed for homozygosity of allele 2. High fluorescence of both dyes was observed when both alleles were heterozygous. The examined polymorphisms of the TGFB1, PDGFB, VEGF-A and bFGF genes are presented in Table 1.

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Table 1. The sequences of VIC and FAM probes used for polymorphism detection.

https://doi.org/10.1371/journal.pone.0150500.t001

The PCR reaction contained 5 ng of genomic DNA, 2x TaqMan Genotyping Master Mix (No AmpErase UNG), 900 nM of each primer and 200 nM of each probe (Applied Biosystems, USA). PCR was performed at 95°C for 10 min and for 40 cycles of 95°C for 15 s and 60°C for 60 s. All assays were performed in 96-well arrays, and each plate contained controls. After cycling, end-point fluorescence was measured on a Real-Time PCR instrument, and genotype was verified using the allelic discrimination analysis module. Genotyping of 10% of the samples was performed for quality control, with complete congruence. We established the genotypes of rs2285094 (TGFB1) for 259 (97.7%) patients, rs699947 (VEGF-A) and rs308395 (bFGF) for 264 patients (99.6%), and rs2285094 (PDGFB) and rs4444903 (EGF) for all patients.

Statistical analysis

Continuous and categorical variables were compared between the ISR and no-ISR groups using U-Mann-Whitney and Fisher’s exact tests, respectively. Continuous variables are presented as median and interquartile ranges. Categorical variables are presented as percentages. The Chi-square test was used to determine genotype consistency with the Hardy Weinberg Equilibrium (HWE). The associations between restenosis risk and the analysed polymorphisms were analysed using the following genetic models: dominant, recessive and log-additive for PDGFB, EGF, TGFB1 and VEGF-A and dominant only for bFGF due to the low number of minor homozygotes. Similar to the methodology used by us [25] and others [27,28], these models were used for patients (n = 265) and adjusted for clinical variables that reached a p-value of <0.3 when comparing patients with and without significant ISR (Table 2). Additionally, following the correction of angiographic data that reached p<0.3 in the group comparison (Table 3), the effect of the considered polymorphisms on LLL (a continuous variable) was analysed. p<0.05 was accepted as the threshold of statistical significance. Analyses were completed using NCSS (Number Crunching Statistical Systems, Kayasville USA) software [29] and with the SNPassoc package in the R environment [30].

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Table 2. Clinical characteristics of the study population.

https://doi.org/10.1371/journal.pone.0150500.t002

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Table 3. Angiographic characteristic of the coronary lesions treated (n = 322).

https://doi.org/10.1371/journal.pone.0150500.t003

The study was approved by the Ethics Committee of the Silesian Medical Chamber, Katowice, Poland. All patients gave their signed consent to participation.

Results

Clinical and angiographic characteristics

The ISR patients and no-ISR patients were similar in terms of age, sex, and comorbidities, with the exception of a more frequent history of myocardial infarction in the ISR group (Table 2). The treatment recommended on discharge was also similar in both groups. Post-stenting lesions in which angiographically significant ISR developed most frequently were complex lesions, according to the AHA/ACC classification [31]. Lesions in which ISR developed were also longer and more frequently located ostially, and the procedure itself was more frequently complicated by dissection. Despite more frequent ostial location, the vessels in which significant ISR developed were smaller in diameter than lesions in which significant ISR did not develop after stenting (Table 3).

Genetic analysis results

The observed frequencies of polymorphisms conformed to HWE for the PDGFB, bFGF, VEGF-A and TGFB1 genes, but a deviation from HWE was observed for the distribution of the polymorphism of the EGF gene (p = 0.007). Angiographically significant ISR was significantly less frequent in individuals with the A/A genotype of rs180047 (TGFB1) versus individuals with the A/G and G/G genotypes (Table 4). Restenosis frequency did not differ for individual genotypes of other analysed polymorphisms. The frequencies of rarer alleles of the analysed polymorphisms were similar to those observed in European populations (Table 4).

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Table 4. Distribution of the genotypes of the analysed polymorphisms and the frequency of restenosis in relation to genotypes in the analysed cohort.

https://doi.org/10.1371/journal.pone.0150500.t004

Angiographically significant ISR–multivariable analysis

The multivariable analysis that adjusted for clinical variables indicated that the A/A genotype of rs1800470 was related to a lower risk of significant ISR in the dominant model. Rs2285094 rs4444903, rs308395, and rs699947 were not associated with a risk of angiographically significant ISR (Table 5).

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Table 5. Association of genotype with angiographically significant restenosis.

https://doi.org/10.1371/journal.pone.0150500.t005

Late lumen loss–multivariable analysis

In the multivariable analysis, LLL was significantly lower in patients with the A/A genotype of rs1800470 (TGFB1) versus those with the A/G and G/G genotypes and higher in patients with the A/A genotype of the VEGF-A polymorphism versus the A/C and C/C genotypes. The C/C genotype of rs2285094 (PDGFB) was associated with higher lumen loss compared to C/T heterozygotes and T/T homozygotes (Table 6).

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Table 6. Genotype and late lumen loss in the analyzed population.

https://doi.org/10.1371/journal.pone.0150500.t006

Discussion

The migration of SMCs, which constitute more than 90% of neointima cells, from the tunica media through the damaged basal membrane and into the vessel lumen is stimulated by growth factors, mainly TGF-β1, PDGFB, bFGF, EGF and, to a lesser extent, VEGF-A. However, apart from one recent paper focusing on polymorphisms of the TGFB1 gene (14), genetic polymorphisms of the above growth factors have not been analysed. In view of the fact that at the time of selecting polymorphisms to be analysed there was no studies published regarding the relation of polymorphisms in the genes encoding growth factors to the process of restenosis, polymorphisms analysed in this study were selected on the basis of their functionality. Functionality was understood as the impact on the level of expression of a given gene and/or relation to the concentration of the given growth factor (rs1800470, rs4444903, rs699947) and finally the relation of the specific polymorphism to the occurrence of other conditions or prognosis in other diseases (rs1800470, rs4444903, rs699947, rs308395, rs2285094).

Rs1800470 (TGFB1)

The role of TGF-β1 in restenosis appears to be confirmed, but its underlying mechanism has not been fully explained due to the complex role of TGF-β1. TGF-β1 has an antiproliferative effect because it inhibits cell proliferation at the G1 stage [33]; however, at levels exceeding 1–2 fg/cell, TGF-β1 may stimulate proliferation of SMCs, fibroblasts and chondrocytes [11]. TGF-β1 is secreted locally by arterial wall fibroblasts, where it has a paracrine effect on SMCs, endothelial cells and macrophages migrating to a site injured after PCI. Additionally, platelets participating in parietal thrombus formation after an arterial wall injury release significant quantities of TGF-β1 [34]. TGF-β1 is also found in blood serum, and its levels may also depend on genetic factors. Some researchers have associated the C alleles with higher TGF-β1 levels [3537], whereas other authors postulated higher levels in T/T homozygotes [38].

However, the role of TGF-β1 in restenosis is not a simple function of its serum levels. In studies conducted at our centre, we did not observe a relationship between TGF-β1 serum levels and restenosis history, recurring restenosis or first restenosis [39,40]. In the first paper on the role of rs1800470, Fragoso et al. demonstrated that, in the Mestizo population, the T allele of rs1800470 is associated with a higher risk of restenosis [14]. Our results for the Polish population indicate that the A allele (the T allele on the complementary strand) is associated with a lower risk of restenosis. However, aside from different ethnic backgrounds, our study group differs from that of Fragoso et al. in the type of implanted stent. In Fragoso et al., patients were implanted with either an antimitotic stent or a metal stent, which may affect the results because the restenosis mechanisms for these two types of stents differ [41]. Ethnicity, the type of implanted stents, and the fact that our population comprised patients with SCAD, whereas the population studied by Fragoso et al. also included patients with acute coronary syndromes, could account for the discrepancy in the relationship between the T and C alleles of rs1800470 and restenosis in the Polish and Mestizo populations [14]. These differences, although difficult to explain, are common in terms of the analysis of the already mentioned relationship between TGFB1 polymorphisms and TGF-β1 serum levels and between rs1800470 and other cardiovascular diseases. For example, in a population of Italian and German patients, the C/C genotype was associated with a higher risk of myocardial infarction [42,43]. However, Yokota et al. and Cruz et al. demonstrated that, in Japanese and Mexican populations, respectively, the T allele is associated with a higher risk of myocardial infarction [35,44]. In an European population, T allele carriers with rheumatoid arthritis more frequently suffered from hypertension [45]. One study implied a higher risk of IgA nephropathy development in T allele carriers [46], whereas another study did not confirm this relationship [47]. It would be difficult to postulate a mechanism for a role of rs1800470 in restenosis intensification due to the large number of signalling pathways and processes controlled by TGF-β1. However, the role of this polymorphism may depend on other genetic, environmental, or patient-dependent (e.g., severity of coronary artery atherosclerosis) factors, which could also explain the different between the results obtained by Fragoso et al. and our results concerning the relationship between restenosis risk and the T allele of rs1800470.

Rs2285094 of the PDGFB gene

PDGFB is a growth factor for cells of mesenchymal origin, including SMCs, and supports their migration to the lumen of an injured vessel. PDGFB is released from platelets forming a parietal thrombus and from activated macrophages migrating to an injury in the arterial wall [48,49]. PDGFB receptor kinase inhibitors inhibit neointima formation in an experimental model [48]. Rs2285094 is located in an intron near a splice site. This polymorphism has been associated with a risk of scleroderma development [17]. No relationship was observed between the risk of type 1 diabetes and IgA nephropathy development and the rs2285094 genotype [15,16]. In our analysis, we observed higher LLL in the C/C homozygote group, even after correction for angiographic variables, suggesting that this result is not an artefact.

Polymorphisms of the EGF, bFGF and VEGF-A genes

Damage to the layer of SMCs results in the release of preformed growth factors, including bFGF and EGF [50]. Under experimental conditions, mitogen activity in the medium in which SMCs were immersed decreased by 34% following administration of anti-EGF antibodies [50]. EGF may influence restenosis primarily through SMC migration to the vessel lumen because an EGF receptor antagonist inhibited SMC migration but not proliferation [51]. A relationship between rs4444903 and a risk of development and malignancy of numerous neoplastic diseases was demonstrated [20,52,53], thus confirming its “functionality”. Our study is the first to examine the relationship between this polymorphism and restenosis, but no relationship between rs4444903 and the intensity of this process was identified.

bFGF is a growth factor influencing both smooth muscle and endothelial cells. Rs308395 is located within the bFGF gene promoter region; thus, it may influence the binding of transcription factors and bFGF expression [18,19]. A relationship was observed between this polymorphism and the prognosis of patients with non-Hodgkin lymphoma. Patients with the C/C genotype were more frequently diagnosed with an aggressive form of this disease compared to G allele carriers [19]. Experimental studies have demonstrated that bFGF levels increase in the first hours after balloon angioplasty or stent implantation, which may be related to intensified inflammatory response [54], whereas SMC proliferation after arterial wall injury is inhibited by antibodies directed against bFGF [55]. However, in dogs undergoing iliac artery angioplasty, bFGF infusion restored endothelium-dependent and -independent relaxation of the arterial wall and reduced LLL [56]. As bFGF stimulates endothelial cell proliferation, thereby accelerating stent endothelialisation, bFGF was proposed as a possible substance for stent coating [57]. Similar studies are in progress for VEGF-A, which also stimulates endothelial cell proliferation [58]. Furthermore, higher VEGF-A levels after PCI are related to restenosis in stents coated with an antimitotic drug [5,59]. Rs699947 has been widely studied in autoimmune and neoplastic diseases. Lower levels of this cytokine are observed in individuals with Kawasaki disease and A/A and A/C genotypes [60]. Additionally, a higher risk of colon cancer and osteosarcoma was identified in carriers of the A allele [61]. Relationships have also been identified between VEGF-A polymorphisms and the development of collateral circulation in individuals with coronary artery disease [23], the risk of coronary artery disease in the general population [62], and myocardial infarction in patients with rheumatoid arthritis [63]. Although VEGF-A stimulates stent re-endothelialisation and SMC migration and rs699947 has been previously associated with coronary artery disease, our study is the first to examine this polymorphism in terms of restenosis and identify an association with LLL.

Study strengths and limitations

The strengths of this study include the first (with the exception of the TGFB1 gene) polymorphism analysis of genes encoding growth factor proteins with confirmed roles in restenosis. Polymorphisms of the TGFB1, VEGF-A, bFGF and EGF genes are functional polymorphisms that affect the levels of these growth factors and are associated with numerous, mainly neoplastic, diseases. Another strength of this study is the fact that the number of patients enrolled was sufficient to detect, with a power of 80%, the differences in LLL in a vessel below 0.05 mm, assuming a standard deviation of 0.1 mm under the dominant or recessive model for each polymorphism studied. However, the size of the study group was sufficient to detect a 15% or greater difference in the incidence of significant angiographic restenosis for the dominant/recessive model for all examined polymorphisms which was a limitation of the study. Limitations of this study include also different time to next coronary angiography for patients enrolled, which resulted both from the time of the onset of symptoms and from the various waiting period for an elective procedure, ethnically homogenous study population and small number of homozygotes for the rs308395 polymorphism of the bFGF gene.

Conclusions

The polymorphisms rs1800470, rs2285094 and rs6999447 of the TGFB1, PDGFB and VEGF-A genes, respectively, are associated with LLL in patients with SCAD treated by PCI with a metal stent implantation.

Acknowledgments

We would like to thank Mr Andrzej Szafranek for help in managing patients’ electronic history database.

Author Contributions

Conceived and designed the experiments: TO JKS LP AL. Performed the experiments: TO JKS RR KB MF M. Gonera M. Gawlita AK MH PT ZO AW. Analyzed the data: TO JKS JW M. Gierlotka ZO AW. Contributed reagents/materials/analysis tools: TO JKS MF JW M. Gąsior ZO AW. Wrote the paper: TO JKS RR KB JW M. Gierlotka ZO AW LP M. Gąsior.

References

  1. 1. Kollum M, Kaiser S, Kinscherf R, Metz J, Kübler W, Hehrlein C. Apoptosis after stent implantation compared with balloon angioplasty in rabbits. Role of macrophages. Arterioscler Thromb Vasc Biol. 1997 Nov;17(11):2383–8. pmid:9409205
  2. 2. Weintraub WS. The pathophysiology and burden of restenosis. Am J Cardiol. 2007 Sep;100(5A):3K–9K. pmid:17719351
  3. 3. Schwartz SM. Perspectives series: cell adhesion in vascular biology. Smooth muscle migration in atherosclerosis and restenosis. J Clin Invest. 1997 Jun;99(12):2814–6. pmid:9185501
  4. 4. Sanchez-Guerrero E, Jo SR, Chong BH, Khachigian LM. EGFR and the complexity of receptor crosstalk in the cardiovascular system. Curr Mol Med. 2013 Jan;13(1):3–12. pmid:23116266
  5. 5. Katsaros KM, Kastl SP, Krychtiuk KA, Hutter R, Zorn G, Maurer G, et al. An increase of VEGF plasma levels is associated with restenosis of drug-eluting stents. EuroIntervention. 2014 Jun;10(2):224–30. pmid:24168783
  6. 6. Ohtani K, Egashira K, Hiasa K, Zhao Q, Kitamoto S, Ishibashi M, et al. Blockade of vascular endothelial growth factor suppresses experimental restenosis after intraluminal injury by inhibiting recruitment of monocyte lineage cells. Circulation. 2004 Oct;110(16):2444–52. pmid:15477409
  7. 7. Khurana R, Zhuang Z, Bhardwaj S, Murakami M, De Muinck E, Yla-Herttuala S, et al. Angiogenesis-dependent and independent phases of intimal hyperplasia. Circulation. 2004 Oct;110(16):2436–43. pmid:15477408
  8. 8. Hutter R, Carrick FE, Valdiviezo C, Wolinsky C, Rudge JS, Wiegand SJ, et al. Vascular endothelial growth factor regulates reendothelialization and neointima formation in a mouse model of arterial injury. Circulation. 2004 Oct;110(16):2430–5. pmid:15477421
  9. 9. Hegedűs P, Korkmaz S, Radovits T, Schmidt H, Li S, Yoshikawa Y, et al. Bis (Aspirinato) Zinc (II) Complex Successfully Inhibits Carotid Arterial Neointima Formation after Balloon-injury in Rats. Cardiovasc Drugs Ther. 2014 Aug;28(6):533–9. pmid:25129612
  10. 10. Shi X, DiRenzo D, Guo LW, Franco SR, Wang B, Seedial S, et al. TGF-β/Smad3 stimulates stem cell/developmental gene expression and vascular smooth muscle cell de-differentiation. PLoS One. 2014 Jan;9(4):e93995. pmid:24718260
  11. 11. Kajdaniuk D, Marek B, Borgiel-Marek H, Kos-Kudła B. Transforming growth factor β1 (TGFβ1) in physiology and pathology. Endokrynol Pol. 2013 Jan;64(5):384–96. pmid:24186596
  12. 12. Araújo PV, Ribeiro MS, Dalio MB, Rocha LA, Viaro F, Joviliano RD, et al. Inteleukins and inflammatory markers in in-stent restenosis after femoral percutaneous transluminal angioplasty. Ann Vasc Surg. 2015 Feb;29(4):731–7. pmid:25725274
  13. 13. Grainger DJ, Heathcote K, Chiano M, Snieder H, Kemp PR, Metcalfe JC, et al. Genetic control of the circulating concentration of transforming growth factor type beta1. Hum Mol Genet. 1999 Jan;8(1):93–7. pmid:9887336
  14. 14. Fragoso JM, Zuñiga-Ramos J, Arellano-González M, Alvarez-León E, Villegas-Torres BE, Cruz-Lagunas A, et al. The T29C (rs1800470) polymorphism of the transforming growth factor-β1 (TGF-β1) gene is associated with restenosis after coronary stenting in Mexican patients. Exp Mol Pathol. 2015 Mar;98(1):13–7. pmid:25449332
  15. 15. Ewens KG, George RA, Sharma K, Ziyadeh FN, Spielman RS. Assessment of 115 Candidate Genes for Diabetic Nephropathy by Transmission/Disequilibrium Test. Diabetes. 2005 Oct;54(11):3305–18. pmid:16249459
  16. 16. Bicanski B, Wenderdel M, Mertens PR, Senderek J, Panzer U, Steinmetz O, et al. PDGF-B gene single-nucleotide polymorphisms are not predictive for disease onset or progression of IgA nephropathy. Clin Nephrol. 2007 Feb;67(2):65–72. pmid:17338425
  17. 17. Arora-Singh RK, Gourh P, Tan F, Perry M, Mayes MD. PDGFB Gene Polymorphisms are Associated with Scleroderma in Caucasians from the Scleroderma Registry. 2006. Available: https://acr.confex.com/acr/2006/webprogram/Paper5284.html. Accesed 9 August 2015.
  18. 18. Beránek M, Tschöplová S, Kaňková K, Kuhrová V ěr., Vácha J iř. Genetic variation in the promoter region of the basic fibroblast growth factor gene. Hum Immunol. 2003 Mar;64(3):374–7. pmid:12590983
  19. 19. Wróbel T, Mazur G, Dzietczenia J, Gębura K, Kuliczkowski K, Bogunia-Kubik K. VEGF and bFGF gene polymorphisms in patients with non-Hodgkin’s lymphoma. Biomed Res Int. 2013 Jan;2013:159813. pmid:23998120
  20. 20. Jiang G, Yu K, Shao L, Yu X, Hu C, Qian P, et al. Association between epidermal growth factor gene +61A/G polymorphism and the risk of hepatocellular carcinoma: a meta-analysis based on 16 studies. BMC Cancer. 2015 Jan;15(1):314.
  21. 21. Lanuti M, Liu G, Goodwin JM, Zhai R, Fuchs BC, Asomaning K, et al. A functional epidermal growth factor (EGF) polymorphism, EGF serum levels, and esophageal adenocarcinoma risk and outcome. Clin Cancer Res. 2008 May;14(10):3216–22. pmid:18483390
  22. 22. Tu J, Wang S, Zhao J, Zhu J, Sheng L, Sheng Y, et al. rs833061 and rs699947 on promoter gene of vascular endothelial growth factor (VEGF) and associated lung cancer susceptibility and survival: a meta-analysis. Med Sci Monit. 2014 Jan;20:2520–6. pmid:25468805
  23. 23. Lin T-H, Wang C-L, Su H-M, Hsu P-C, Juo S-HH, Voon W-C, et al. Functional vascular endothelial growth factor gene polymorphisms and diabetes: effect on coronary collaterals in patients with significant coronary artery disease. Clin Chim Acta. 2010 Nov;411(21–22):1688–93. pmid:20621071
  24. 24. Oliveira-Paula GH, Lacchini R, Fontana V, Silva PS, Biagi C, Tanus-Santos JE. Polymorphisms in VEGFA gene affect the antihypertensive responses to enalapril. Eur J Clin Pharmacol. 2015 May;71(8):949–57. pmid:26002049
  25. 25. Osadnik T, Strzelczyk J, Bujak K, Reguła R, Wasilewski J, Fronczek M, et al. Functional polymorphism rs710218 in the gene coding GLUT1 protein is associated with in-stent restenosis. Biomark Med. 2015 Aug;9(8):743–50. pmid:26050557
  26. 26. Shahbazi M, Pravica V, Nasreen N, Fakhoury H, Fryer AA, Strange RC, et al. Association between functional polymorphism in EGF gene and malignant melanoma. Lancet. 2002 Feb;359(9304):397–401. pmid:11844511
  27. 27. Martínez-Ríos MA, Alvarez-León E, Totomoch A, Angeles J, Peña-Duque MA, Delgadillo-Rodríguez H, et al. Haplotypes of the angiotensin-converting enzyme (ACE) gene are associated with coronary artery disease but not with restenosis after coronary stenting. Exp Mol Pathol. 2014 Aug;97(1):166–70. pmid:24995885
  28. 28. Miranda-Malpica E, Martínez-Rios MA, Fragoso JM, Delgadillo-Rodríguez H, Rodríguez-Pérez JM, González-Quesada C, et al. The interleukin 1B-511 polymorphism is associated with the risk of developing restenosis after coronary stenting in Mexican patients. Hum Immunol. 2008 Feb;69(2):116–21. pmid:18361937
  29. 29. NCSS 10 Statistical Software (2015). NCSS, LLC. Kaysville, Utah, USA. www.ncss.com/software/ncss
  30. 30. Gonzalez JR, Armengol L, Sole X, Guino E, Mercader JM, Estivill X, et al. SNPassoc: an R package to perform whole genome association studies. Bioinformatics. 2007 Jan;23(5):654–5. pmid:17267436
  31. 31. Ryan TJ, Bauman WB, Kennedy JW, Kereiakes DJ, King SB, McCallister BD, et al. Guidelines for percutaneous transluminal coronary angioplasty. Circulation. 1993 Dec;88(6):2987–3007. pmid:8252713
  32. 32. Ensemble. Available: www.ensemble.org. Accessed 14 January 2016.
  33. 33. Blobe GC, Schiemann WP, Lodish HF. Role of transforming growth factor beta in human disease. N Engl J Med. 2000 May;342(18):1350–8. pmid:10793168
  34. 34. Grainger DJ, Wakefield L, Bethell HW, Farndale RW, Metcalfe JC. Release and activation of platelet latent TGF-beta in blood clots during dissolution with plasmin. Nat Med. 1995 Sep;1(9):932–7. pmid:7585220
  35. 35. Suthanthiran M, Li B, Song JO, Ding R, Sharma VK, Schwartz JE, et al. Transforming growth factor-beta 1 hyperexpression in African-American hypertensives: A novel mediator of hypertension and/or target organ damage. Proc Natl Acad Sci U S A. 2000 Mar;97(7):3479–84. pmid:10725360
  36. 36. Yokota M, Ichihara S, Lin TL, Nakashima N, Yamada Y. Association of a T29—>C polymorphism of the transforming growth factor-beta1 gene with genetic susceptibility to myocardial infarction in Japanese. Circulation. 2000 Jun;101(24):2783–7. pmid:10859282
  37. 37. Pooja S, Francis A, Rajender S, Tamang R, Rajkumar R, Saini KS, et al. Strong Impact of TGF-β1 Gene Polymorphisms on Breast Cancer Risk in Indian Women: A Case-Control and Population-Based Study. PLoS One. 2013 Jan;8(10):e75979. pmid:24146803
  38. 38. Xu S, Yang S, Sun G, Huang W, Zhang Y. Transforming Growth Factor-Beta Polymorphisms and Serum Level in the Development of Osteosarcoma. DNA Cell Biol. 2014 Nov;33(11):802–6. pmid:25098449
  39. 39. Hudzik B, Szkodzinski J, Romanowski W, Wilczek K, Wojnar R, Lekston A, et al. No predictive value of serum interleukin-6 and transforming growth factor-beta1 in identifying patients with a first restenosis, recurrent restenosis or a history of restenosis. Eur Cytokine Netw. 2009 Sep;20(3):135–9. pmid:19825523
  40. 40. Szkodzinski J, Blazelonis A, Wilczek K, Hudzik B, Romanowski W, Gasior M, et al. The role of interleukin-6 and transforming growth factor-β1 in predicting restenosis within stented infarct-related artery. Int J Immunopathol Pharmacol. 2009 Jan;22(2):493–500. pmid:19505401
  41. 41. Minha S, Pichard AD, Waksman R. In-stent restenosis of drug-eluting stents. Future Cardiol. 2013 Sep;9(5):721–31. pmid:24020673
  42. 42. Crobu F, Palumbo L, Franco E, Bergerone S, Carturan S, Guarrera S, et al. Role of TGF-beta1 haplotypes in the occurrence of myocardial infarction in young Italian patients. BMC Med Genet. 2008 Jan;9:13. pmid:18312614
  43. 43. Koch W, Hoppmann P, Mueller JC, Schömig A, Kastrati A. Association of transforming growth factor-beta1 gene polymorphisms with myocardial infarction in patients with angiographically proven coronary heart disease. Arterioscler Thromb Vasc Biol. 2006 May;26(5):1114–9. pmid:16543493
  44. 44. Cruz M, Fragoso JM, Alvarez-León E, Escobedo-de-la-Peña J, Valladares A, Juárez-Cedillo T, et al. The TGF-B1 and IL-10 gene polymorphisms are associated with risk of developing silent myocardial ischemia in the diabetic patients. Immunol Lett. 2013 Jan;156(1–2):18–22. pmid:24060592
  45. 45. Panoulas VF, Douglas KMJ, Smith JP, Stavropoulos-Kalinoglou A, Metsios GS, Nightingale P, et al. Transforming growth factor-beta1 869T/C, but not interleukin-6 -174G/C, polymorphism associates with hypertension in rheumatoid arthritis. Rheumatology (Oxford). 2009 Feb;48(2):113–8.
  46. 46. Vuong MT, Lundberg S, Gunnarsson I, Wramner L, Seddighzadeh M, Hahn-Zoric M, et al. Genetic variation in the transforming growth factor-beta1 gene is associated with susceptibility to IgA nephropathy. Nephrol Dial Transplant. 2009 Oct;24(10):3061–7. pmid:19258388
  47. 47. Vuong MT, Gunnarsson I, Lundberg S, Svenungsson E, Wramner L, Fernström A, et al. Genetic risk factors in lupus nephritis and IgA nephropathy—no support of an overlap. PLoS One. 2010 Jan;5(5):e10559. pmid:20479942
  48. 48. Levitzki A. PDGF receptor kinase inhibitors for the treatment of restenosis. Cardiovasc Res. 2005 Feb;65(3):581–6. pmid:15664384
  49. 49. Kenagy RD, Hart CE, Stetler-Stevenson WG, Clowes AW. Primate smooth muscle cell migration from aortic explants is mediated by endogenous platelet-derived growth factor and basic fibroblast growth factor acting through matrix metalloproteinases 2 and 9. Circulation. 1997 Nov;96(10):3555–60. pmid:9396455
  50. 50. Crowley ST, Ray CJ, Nawaz D, Majack RA, Horwitz LD. Multiple growth factors are released from mechanically injured vascular smooth muscle cells. Am J Physiol. 1995 Nov;269(5 Pt 2):H1641–7. pmid:7503260
  51. 51. Trieu VN, Narla RK, Myers DE, Uckun FM. EGF-genistein inhibits neointimal hyperplasia after vascular injury in an experimental restenosis model. J Cardiovasc Pharmacol. 2000 Apr;35(4):595–605. pmid:10774791
  52. 52. Yang P-W, Hsieh M-S, Huang Y-C, Hsieh C-Y, Chiang T-H, Lee J-M. Genetic variants of EGF and VEGF predict prognosis of patients with advanced esophageal squamous cell carcinoma. PLoS One. 2014 Jan;9(6):e100326. pmid:24945674
  53. 53. Chen X, Yang G, Zhang D, Zhang W, Zou H, Zhao H, et al. Association between the epidermal growth factor +61 G/A polymorphism and glioma risk: a meta-analysis. PLoS One. 2014 Jan;9(4):e95139. pmid:24740103
  54. 54. Kollum M, Hoefer I, Schreiber R, Bode C, Hehrlein C. Systemic application of anti-ICAM-1 monoclonal antibodies to prevent restenosis in rabbits: an anti-inflammatory strategy. Coron Artery Dis. 2007 Mar;18(2):117–23. pmid:17301603
  55. 55. Lindner V, Reidy MA. Proliferation of smooth muscle cells after vascular injury is inhibited by an antibody against basic fibroblast growth factor. Proc Natl Acad Sci U S A. 1991 May;88(9):3739–43. pmid:2023924
  56. 56. Ran F, Liu C, Liu Z, Shang T, Zhou M, Qiao T. Preventive effects of basic fibroblast growth factor on vascular restenosis after balloon angioplasty. Exp Ther Med. 2014 Feb;7(5):1193–6. pmid:24940410
  57. 57. Kitamura N, Hasebe T, Matsumoto T, Hotta A, Suzuki T, Yamagami T, et al. Basic fibroblast growth factor as a potential stent coating material inducing endothelial cell proliferation. J Atheroscler Thromb. 2014 Jan;21(5):477–85. pmid:24366328
  58. 58. Takabatake S, Hayashi K, Nakanishi C, Hao H, Sakata K, Kawashiri M- A, et al. Vascular endothelial growth factor-bound stents: application of in situ capture technology of circulating endothelial progenitor cells in porcine coronary model. J Interv Cardiol. 2014 Feb;27(1):63–72. pmid:24383571
  59. 59. Kazmierczak E, Grajek S, Kowal J, Chmara E, Grygier M, Pyda M, et al. Prognostic usefulness of IL-6 and VEGF for the occurrence of changes in coronary arteries of patients with stable angina and implanted stents. Eur Rev Med Pharmacol Sci. 2014 Jan;18(15):2169–75. pmid:25070823
  60. 60. Breunis WB, Biezeveld MH, Geissler J, Ottenkamp J, Kuipers IM, Lam J, et al. Vascular endothelial growth factor gene haplotypes in Kawasaki disease. Arthritis Rheum. 2006 May;54(5):1588–94. pmid:16645995
  61. 61. Zhou LP, Luan H, Dong XH, Jin GJ, Man DL, Shang H. Vascular endothelial growth factor gene polymorphisms and colorectal cancer risk: a meta-analysis. Genet Mol Res. 2011 Jan;10(4):3674–88. pmid:22058001
  62. 62. Cui QT, Li Y, Duan CH, Zhang W, Guo XL. Further evidence for the contribution of the vascular endothelial growth factor gene in coronary artery disease susceptibility. Gene. 2013 Jun;521(2):217–21. pmid:23545315
  63. 63. Chen Y, Dawes PT, Packham JC, Mattey DL. Interaction between smoking and polymorphism in the promoter region of the VEGFA gene is associated with ischemic heart disease and myocardial infarction in rheumatoid arthritis. J Rheumatol. 2011 May;38(5):802–9. pmid:21362767