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<front>
<journal-meta>
<journal-id journal-id-type="nlm-ta">PLoS ONE</journal-id>
<journal-id journal-id-type="publisher-id">plos</journal-id>
<journal-id journal-id-type="pmc">plosone</journal-id>
<journal-title-group>
<journal-title>PLOS ONE</journal-title>
</journal-title-group>
<issn pub-type="epub">1932-6203</issn>
<publisher>
<publisher-name>Public Library of Science</publisher-name>
<publisher-loc>San Francisco, CA USA</publisher-loc>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.1371/journal.pone.0150500</article-id>
<article-id pub-id-type="publisher-id">PONE-D-15-42264</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Research Article</subject>
</subj-group>
<subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Genetics</subject><subj-group><subject>Heredity</subject><subj-group><subject>Genetic mapping</subject><subj-group><subject>Variant genotypes</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Cell biology</subject><subj-group><subject>Signal transduction</subject><subj-group><subject>Cell signaling</subject><subj-group><subject>Signaling cascades</subject><subj-group><subject>TGF-beta signaling cascade</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and health sciences</subject><subj-group><subject>Endocrinology</subject><subj-group><subject>Endocrine physiology</subject><subj-group><subject>Growth factors</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Physiology</subject><subj-group><subject>Endocrine physiology</subject><subj-group><subject>Growth factors</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and health sciences</subject><subj-group><subject>Physiology</subject><subj-group><subject>Endocrine physiology</subject><subj-group><subject>Growth factors</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and health sciences</subject><subj-group><subject>Surgical and invasive medical procedures</subject><subj-group><subject>Cardiovascular procedures</subject><subj-group><subject>Coronary stenting</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and health sciences</subject><subj-group><subject>Surgical and invasive medical procedures</subject><subj-group><subject>Stent implantation</subject><subj-group><subject>Coronary stenting</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and health sciences</subject><subj-group><subject>Surgical and invasive medical procedures</subject><subj-group><subject>Stent implantation</subject></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Molecular biology</subject><subj-group><subject>Molecular biology techniques</subject><subj-group><subject>Artificial gene amplification and extension</subject><subj-group><subject>Polymerase chain reaction</subject></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Molecular biology techniques</subject><subj-group><subject>Artificial gene amplification and extension</subject><subj-group><subject>Polymerase chain reaction</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Anatomy</subject><subj-group><subject>Cardiovascular anatomy</subject><subj-group><subject>Blood vessels</subject><subj-group><subject>Arteries</subject><subj-group><subject>Coronary arteries</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Medicine and health sciences</subject><subj-group><subject>Anatomy</subject><subj-group><subject>Cardiovascular anatomy</subject><subj-group><subject>Blood vessels</subject><subj-group><subject>Arteries</subject><subj-group><subject>Coronary arteries</subject></subj-group></subj-group></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Biology and life sciences</subject><subj-group><subject>Molecular biology</subject><subj-group><subject>Molecular biology techniques</subject><subj-group><subject>Genotyping</subject></subj-group></subj-group></subj-group></subj-group><subj-group subj-group-type="Discipline-v3"><subject>Research and analysis methods</subject><subj-group><subject>Molecular biology techniques</subject><subj-group><subject>Genotyping</subject></subj-group></subj-group></subj-group></article-categories>
<title-group>
<article-title>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</article-title>
<alt-title alt-title-type="running-head">Growth Factors Genes Polymorphisms and Restenosis</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes" xlink:type="simple">
<name name-style="western">
<surname>Osadnik</surname>
<given-names>Tadeusz</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
<xref ref-type="corresp" rid="cor001">*</xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Strzelczyk</surname>
<given-names>Joanna Katarzyna</given-names>
</name>
<xref ref-type="aff" rid="aff003"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Reguła</surname>
<given-names>Rafał</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Bujak</surname>
<given-names>Kamil</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Fronczek</surname>
<given-names>Martyna</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff002"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Gonera</surname>
<given-names>Małgorzata</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Gawlita</surname>
<given-names>Marcin</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Wasilewski</surname>
<given-names>Jarosław</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Lekston</surname>
<given-names>Andrzej</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Kurek</surname>
<given-names>Anna</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Gierlotka</surname>
<given-names>Marek</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Trzeciak</surname>
<given-names>Przemysław</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Hawranek</surname>
<given-names>Michał</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Ostrowska</surname>
<given-names>Zofia</given-names>
</name>
<xref ref-type="aff" rid="aff003"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Wiczkowski</surname>
<given-names>Andrzej</given-names>
</name>
<xref ref-type="aff" rid="aff003"><sup>3</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Poloński</surname>
<given-names>Lech</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author" xlink:type="simple">
<name name-style="western">
<surname>Gąsior</surname>
<given-names>Mariusz</given-names>
</name>
<xref ref-type="aff" rid="aff001"><sup>1</sup></xref>
</contrib>
</contrib-group>
<aff id="aff001"><label>1</label> <addr-line>Third Department of Cardiology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland</addr-line></aff>
<aff id="aff002"><label>2</label> <addr-line>Genomics Laboratory, Kardio-Med Silesia Science and Technology Park, Zabrze, Poland</addr-line></aff>
<aff id="aff003"><label>3</label> <addr-line>Department of Medical and Molecular Biology, School of Medicine with the Division of Dentistry, Medical University of Silesia, Zabrze, Poland</addr-line></aff>
<contrib-group>
<contrib contrib-type="editor" xlink:type="simple">
<name name-style="western">
<surname>Wallace</surname>
<given-names>Graham R.</given-names>
</name>
<role>Editor</role>
<xref ref-type="aff" rid="edit1"/>
</contrib>
</contrib-group>
<aff id="edit1"><addr-line>University of Birmingham, UNITED KINGDOM</addr-line></aff>
<author-notes>
<fn fn-type="conflict" id="coi001">
<p>The authors have declared that no competing interests exist.</p>
</fn>
<fn fn-type="con" id="contrib001">
<p>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.</p>
</fn>
<corresp id="cor001">* E-mail: <email xlink:type="simple">tadeusz.osadnik@sccs.pl</email></corresp>
</author-notes>
<pub-date pub-type="epub">
<day>1</day>
<month>3</month>
<year>2016</year>
</pub-date>
<pub-date pub-type="collection">
<year>2016</year>
</pub-date>
<volume>11</volume>
<issue>3</issue>
<elocation-id>e0150500</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>9</month>
<year>2015</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>2</month>
<year>2016</year>
</date>
</history>
<permissions>
<copyright-year>2016</copyright-year>
<copyright-holder>Osadnik et al</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">
<license-p>This is an open access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by/4.0/" xlink:type="simple">Creative Commons Attribution License</ext-link>, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
</license>
</permissions>
<self-uri content-type="pdf" xlink:href="info:doi/10.1371/journal.pone.0150500"/>
<abstract>
<sec id="sec001">
<title>Background</title>
<p>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).</p>
</sec>
<sec id="sec002">
<title>Materials and Methods</title>
<p>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 &gt;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. <italic>EGF</italic> rs4444903 polymorphism was genotyped using the PCR-RFLP method whilst rs1800470 (<italic>TGFB1</italic>), rs2285094 (<italic>PDGFB</italic>) rs308395 (<italic>bFGF</italic>) and rs699947 (<italic>VEGF-A</italic>) were determined using the TaqMan method.</p>
</sec>
<sec id="sec003">
<title>Results</title>
<p>Angiographically significant ISR was significantly less frequently observed in the group of patients with the A/A genotype of rs1800470 polymorphism (<italic>TGFB1</italic>) 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 (<italic>TGFB1</italic>) versus those with the A/G and G/G genotypes and higher in patients with the A/A genotype of the <italic>VEGF-A</italic> polymorphism versus the A/C and C/C genotypes. The C/C genotype of rs2285094 (<italic>PDGFB</italic>) was associated with greater LLL compared to C/T heterozygotes and T/T homozygotes.</p>
</sec>
<sec id="sec004">
<title>Conclusions</title>
<p>The polymorphisms rs1800470, rs2285094 and rs6999447 of the <italic>TGFB1</italic>, <italic>PDGFB</italic> and <italic>VEGF-A</italic> genes, respectively, are associated with LLL in patients with SCAD treated by PCI with a metal stent implantation.</p>
</sec>
</abstract>
<funding-group>
<funding-statement>The study was financed by the National Science Centre (NCN), Poland (2011/01/D/NZ5/04387; 2014/13/B/NZ5/03166). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.</funding-statement>
</funding-group>
<counts>
<fig-count count="0"/>
<table-count count="6"/>
<page-count count="14"/>
</counts>
<custom-meta-group>
<custom-meta id="data-availability">
<meta-name>Data Availability</meta-name>
<meta-value>In the informed consent we have specifically written that laboratory and genetic results for each patient will be available only for people that were involved in the study. In the informed consent there was a list of researchers who had access to data, and information that in the case of publication no one will be able to identify patients who participated in the study. Theoretically a patient, based on the information chart that is given to him at the hospital discharge, can identify himself/herself based on the results of laboratory testing. Therefore, the way to request the anonymized data sets is to contact the corresponding author of this paper (Tadeusz Osadnik, MD, PhD).</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="sec005" sec-type="intro">
<title>Background</title>
<p>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 [<xref ref-type="bibr" rid="pone.0150500.ref001">1</xref>]. In successive weeks following the procedure, the neutrophil ratio decreases, and VSMCs represent over 90% of neointima cells [<xref ref-type="bibr" rid="pone.0150500.ref001">1</xref>]. 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 [<xref ref-type="bibr" rid="pone.0150500.ref002">2</xref>]. 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) [<xref ref-type="bibr" rid="pone.0150500.ref003">3</xref>], epidermal growth factor (EGF) [<xref ref-type="bibr" rid="pone.0150500.ref004">4</xref>] and basic fibroblast growth factor (bFGF), play an important role in smooth muscle cell (SMC) proliferation and migration to the tunica intima [<xref ref-type="bibr" rid="pone.0150500.ref003">3</xref>]. Numerous studies of restenosis have also indicated a role of vascular endothelial growth factor A (VEGF-A) in this phenomenon [<xref ref-type="bibr" rid="pone.0150500.ref005">5</xref>–<xref ref-type="bibr" rid="pone.0150500.ref008">8</xref>].</p>
<p>The effects of TGF-β1 on VSMCs and its role in the restenosis process have been the subject of numerous studies [<xref ref-type="bibr" rid="pone.0150500.ref009">9</xref>–<xref ref-type="bibr" rid="pone.0150500.ref012">12</xref>]. Some reports indicate that TGF-β1 levels, and possibly activity, may depend on genetic factors [<xref ref-type="bibr" rid="pone.0150500.ref013">13</xref>], including the rs1800470 polymorphism. A recently published study examined the relationship between <italic>TGFB1</italic> polymorphisms and restenosis in the Mestizo population [<xref ref-type="bibr" rid="pone.0150500.ref014">14</xref>].</p>
<p>The association of the rs2285094 polymorphism of the <italic>PDGFB</italic> gene, which is located in an intron near an mRNA splice site, with the development of type 1 diabetes [<xref ref-type="bibr" rid="pone.0150500.ref015">15</xref>], IgA nephropathy [<xref ref-type="bibr" rid="pone.0150500.ref016">16</xref>], and scleroderma [<xref ref-type="bibr" rid="pone.0150500.ref017">17</xref>] has been analysed. The rs308395 polymorphism within the <italic>bFGF</italic> gene promoter may influence transcription factors binding, and thus <italic>bFGF</italic> expression [<xref ref-type="bibr" rid="pone.0150500.ref018">18</xref>,<xref ref-type="bibr" rid="pone.0150500.ref019">19</xref>]. The rs4444903 polymorphism (A61G) within the <italic>EGF</italic> gene promoter region is associated with EGF levels and various neoplastic diseases [<xref ref-type="bibr" rid="pone.0150500.ref020">20</xref>,<xref ref-type="bibr" rid="pone.0150500.ref021">21</xref>]. The rs699947 polymorphism of the <italic>VEGF-A</italic> gene is associated with a higher risk of developing certain neoplastic diseases [<xref ref-type="bibr" rid="pone.0150500.ref022">22</xref>] and, in cardiology, with the development of collateral circulation [<xref ref-type="bibr" rid="pone.0150500.ref023">23</xref>] or a response to anti-hypertensive therapy [<xref ref-type="bibr" rid="pone.0150500.ref024">24</xref>]. Although the roles of these growth factors [<xref ref-type="bibr" rid="pone.0150500.ref003">3</xref>–<xref ref-type="bibr" rid="pone.0150500.ref008">8</xref>] in restenosis are known, only one paper has described the role of <italic>TGFB1</italic> 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 <italic>TGFB1</italic>, <italic>PDGFB</italic>, <italic>bFGF</italic>, <italic>EGF</italic> and <italic>VEGF-A</italic> genes and ISR in patients with stable coronary artery disease (SCAD).</p>
</sec>
<sec id="sec006" sec-type="materials|methods">
<title>Materials and Methods</title>
<p>The methods were described previously [<xref ref-type="bibr" rid="pone.0150500.ref025">25</xref>]. 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 &gt;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.</p>
<sec id="sec007">
<title>Genetic studies</title>
<p>DNA was extracted from blood samples using the GeneMatrix Quick Blood DNA Purification Kit (EUR<sub>X</sub>, 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).</p>
<p>The <italic>EGF</italic> gene was genotyped using the PCR-RFLP (<italic>Polymerase Chain Reaction—Restriction Fragment Length Polymorphism)</italic> method, whereas the <italic>PDGFB</italic>, <italic>VEGF-A</italic>, <italic>TGFB1</italic> and <italic>bFGF</italic> genes were genotyped using 5' exonuclease TaqMan genotyping assays.</p>
<sec id="sec008">
<title>Genotyping of the <italic>EGF</italic> gene using PCR-RFLP</title>
<p>The <italic>EGF</italic> gene was genotyped using the PCR-RFLP method using the primers described by Shahbazi et al. [<xref ref-type="bibr" rid="pone.0150500.ref026">26</xref>].</p>
<p>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 <italic>EGF</italic> fragment was 242 bp. The PCR product was digested by <italic>Alu</italic>I to type the <italic>EGF</italic> 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 <italic>Alu</italic>I 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, <italic>Alu</italic>I was inactivated by incubation at 65°C for 20 min. The digestion products of <italic>EGF</italic> 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 (GeneRuler<sup>TM</sup> 100 bp DNA Ladder, MBI Fermentas, Lithuania). <italic>Alu</italic>I 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.</p>
</sec>
<sec id="sec009">
<title>Genotyping the PDGFB, bFGF, EGF and TGFB1 genes using the TaqMan assay</title>
<p>To identify single nucleotide polymorphisms (SNPs) of the <italic>PDGFB</italic>, <italic>VEGF-A</italic>, <italic>bFGF</italic>, and <italic>TGFB1</italic> 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 <italic>TGFB1</italic>, <italic>PDGFB</italic>, <italic>VEGF-A</italic> and <italic>bFGF</italic> genes are presented in <xref ref-type="table" rid="pone.0150500.t001">Table 1</xref>.</p>
<table-wrap id="pone.0150500.t001" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0150500.t001</object-id>
<label>Table 1</label> <caption><title>The sequences of VIC and FAM probes used for polymorphism detection.</title></caption>
<alternatives>
<graphic id="pone.0150500.t001g" mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0150500.t001" xlink:type="simple"/>
<table>
<colgroup>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
</colgroup>
<thead>
<tr>
<th align="center">Gene</th>
<th align="center">Polymorphism</th>
<th align="center">Nucleotide base</th>
<th align="center">Context sequence [vic/fam]</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><italic>TGFB1</italic></td>
<td align="center">rs1800470</td>
<td align="center">A/G</td>
<td align="center">TAGCCACAGCAGCGGTAGCAGCAGC[A/G]GCAGCAGCCGCAGCCCGGAGGGCGG</td>
</tr>
<tr>
<td align="left"><italic>PDGFB</italic></td>
<td align="center">rs2285094</td>
<td align="center">T/C</td>
<td align="center">CAACCAATAGAGGGGCCAATAGAAC[T/C]GCCCAGCTGAGCCCAGTCAACCCCC</td>
</tr>
<tr>
<td align="left"><italic>bFGF</italic></td>
<td align="center">rs308395</td>
<td align="center">C/G</td>
<td align="center">CTCTTCTATGGCCTACTTTCTACTG[C/G]TATTTGTGTTACTCATGCTACCCAT</td>
</tr>
<tr>
<td align="left"><italic>VEGF-A</italic></td>
<td align="center">rs699947</td>
<td align="center">A/C</td>
<td align="center">GCCAGCTGTAGGCCAGACCCTGGCA[A/C]GATCTGGGTGGATAATCAGACTGAC</td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<fn id="t001fn001"><p>Abbreviations: <italic>TGFB1 –transforming growth factor beta 1</italic>, <italic>PDGFB—platelet-derived growth factor beta polypeptide</italic>, <italic>bFGF–basic fibroblast growth factor</italic>, <italic>VEGF-A–vascular endothelial growth factor A</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>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 (<italic>TGFB1</italic>) for 259 (97.7%) patients, rs699947 (<italic>VEGF-A</italic>) and rs308395 (<italic>bFGF</italic>) for 264 patients (99.6%), and rs2285094 (<italic>PDGFB</italic>) and rs4444903 (<italic>EGF</italic>) for all patients.</p>
</sec>
</sec>
<sec id="sec010">
<title>Statistical analysis</title>
<p>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 <italic>PDGFB</italic>, <italic>EGF</italic>, <italic>TGFB1</italic> and <italic>VEGF-A</italic> and dominant only for <italic>bFGF</italic> due to the low number of minor homozygotes. Similar to the methodology used by us [<xref ref-type="bibr" rid="pone.0150500.ref025">25</xref>] and others [<xref ref-type="bibr" rid="pone.0150500.ref027">27</xref>,<xref ref-type="bibr" rid="pone.0150500.ref028">28</xref>], these models were used for patients (n = 265) and adjusted for clinical variables that reached a p-value of &lt;0.3 when comparing patients with and without significant ISR (<xref ref-type="table" rid="pone.0150500.t002">Table 2</xref>). Additionally, following the correction of angiographic data that reached p&lt;0.3 in the group comparison (<xref ref-type="table" rid="pone.0150500.t003">Table 3</xref>), the effect of the considered polymorphisms on LLL (a continuous variable) was analysed. p&lt;0.05 was accepted as the threshold of statistical significance. Analyses were completed using NCSS (Number Crunching Statistical Systems, Kayasville USA) software [<xref ref-type="bibr" rid="pone.0150500.ref029">29</xref>] and with the SNPassoc package in the R environment [<xref ref-type="bibr" rid="pone.0150500.ref030">30</xref>].</p>
<table-wrap id="pone.0150500.t002" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0150500.t002</object-id>
<label>Table 2</label> <caption><title>Clinical characteristics of the study population.</title></caption>
<alternatives>
<graphic id="pone.0150500.t002g" mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0150500.t002" xlink:type="simple"/>
<table>
<colgroup>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
</colgroup>
<thead>
<tr>
<th align="center">Variable</th>
<th align="center">Without ISR, n = 212</th>
<th align="center">With ISR, n = 53</th>
<th align="center">P value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Age [years]</td>
<td align="center">64 [57–71]</td>
<td align="center">61 [56–69]</td>
<td align="center">0.29</td>
</tr>
<tr>
<td align="left">Male sex</td>
<td align="center">145 (68.4)</td>
<td align="center">40 (75.5)</td>
<td align="center">0.32</td>
</tr>
<tr>
<td align="left">Hypertension</td>
<td align="center">145 (68.4)</td>
<td align="center">33(62.3)</td>
<td align="center">0.52</td>
</tr>
<tr>
<td align="left">Heart Failure</td>
<td align="center">48 (22.6)</td>
<td align="center">14 (26.4)</td>
<td align="center">0.56</td>
</tr>
<tr>
<td align="left">Atrial fibrillation</td>
<td align="center">35 (16.5)</td>
<td align="center">8 (15.1)</td>
<td align="center">0.80</td>
</tr>
<tr>
<td align="left">Hypercholesterolemia</td>
<td align="center">112 (52.8)</td>
<td align="center">30 (56.6)</td>
<td align="center">0.62</td>
</tr>
<tr>
<td align="left">Previous MI</td>
<td align="center">111 (52.4)</td>
<td align="center">37 (69.8)</td>
<td align="center">0.02</td>
</tr>
<tr>
<td align="left">Previous CABG</td>
<td align="center">20 (9.4)</td>
<td align="center">8 (15.1)</td>
<td align="center">0.23</td>
</tr>
<tr>
<td align="left">Previous cardiac arrest</td>
<td align="center">7 (3.3)</td>
<td align="center">2 (3.8)</td>
<td align="center">0.99</td>
</tr>
<tr>
<td align="left">Diabetes</td>
<td align="center">61 (28.8)</td>
<td align="center">12 (22.6)</td>
<td align="center">0.37</td>
</tr>
<tr>
<td align="left">Peripheral Vascular Disease</td>
<td align="center">12 (5.7)</td>
<td align="center">4 (7.6)</td>
<td align="center">0.85</td>
</tr>
<tr>
<td align="left">Previous Stroke</td>
<td align="center">6 (2.8)</td>
<td align="center">2 (3.8)</td>
<td align="center">0.99</td>
</tr>
<tr>
<td align="left">COPD</td>
<td align="center">15 (7.1)</td>
<td align="center">2 (3.8)</td>
<td align="center">0.38</td>
</tr>
<tr>
<td align="left">Family History of CHD</td>
<td align="center">17 (8.0)</td>
<td align="center">5 (9.4)</td>
<td align="center">0.49</td>
</tr>
<tr>
<td align="left">Current Smoker</td>
<td align="center">20 (9.4)</td>
<td align="center">2 (3.8)</td>
<td align="center">0.66</td>
</tr>
<tr>
<td align="left">Previous Smoker</td>
<td align="center">67 (31.6)</td>
<td align="center">23 (43.4)</td>
<td align="center">0.11</td>
</tr>
<tr>
<td align="left">Ejection Fraction [%]</td>
<td align="center">48 [40–55]]</td>
<td align="center">49 [34–51]</td>
<td align="center">0.17</td>
</tr>
<tr>
<td align="left">Creatinine [μmol/l]</td>
<td align="center">81 [67–94]</td>
<td align="center">76 [67–85]</td>
<td align="center">0.16</td>
</tr>
<tr>
<td align="left">Hemoglobin [mmol/l]</td>
<td align="center">8.7 [8.1–9.2]</td>
<td align="center">8.9 [8.1–9.6]</td>
<td align="center">0.07</td>
</tr>
<tr>
<td align="left">Aspirin</td>
<td align="center">207 (97.6%)</td>
<td align="center">53 (100)</td>
<td align="center">0.57</td>
</tr>
<tr>
<td align="left">Thienopirydynes</td>
<td align="center">212 (100)</td>
<td align="center">53 (100)</td>
<td align="center">-</td>
</tr>
<tr>
<td align="left">Beta blocker</td>
<td align="center">201 (94.8)</td>
<td align="center">51 (96.2)</td>
<td align="center">0.94</td>
</tr>
<tr>
<td align="left">ACE-i/ARB</td>
<td align="center">198 (93.4)</td>
<td align="center">50 (94.3)</td>
<td align="center">0.99</td>
</tr>
<tr>
<td align="left">Statins</td>
<td align="center">200 (94.3)</td>
<td align="center">49 (92.5)</td>
<td align="center">0.85</td>
</tr>
<tr>
<td align="left">Time to coronary angiography [days]</td>
<td align="center">659 [170–1286]</td>
<td align="center">444 [140–1055]</td>
<td align="center">0.25</td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<fn id="t002fn001"><p>Continuous variables are presented as median [interquartile range]. Dichotomic variables are presented as number of patients (percentage).</p></fn>
<fn id="t002fn002"><p>Abbreviations: MI–myocardial infarction, CABG–coronary artery bypass graft surgery, COPD–chronic obstructive pulmonary disease, ACE-I–angiotensin converting enzyme inhibitors, ARB–angiotensin receptor blockers.</p></fn>
</table-wrap-foot>
</table-wrap>
<table-wrap id="pone.0150500.t003" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0150500.t003</object-id>
<label>Table 3</label> <caption><title>Angiographic characteristic of the coronary lesions treated (n = 322).</title></caption>
<alternatives>
<graphic id="pone.0150500.t003g" mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0150500.t003" xlink:type="simple"/>
<table>
<colgroup>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
</colgroup>
<thead>
<tr>
<th align="center">Variable</th>
<th align="center">Without ISR, n = 267</th>
<th align="center">With ISR, n = 55</th>
<th align="center">P Value</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left">Artery treated</td>
<td align="center"/>
<td align="center"/>
<td align="center">0.08</td>
</tr>
<tr>
<td align="left">LM</td>
<td align="center">8 (3.0)</td>
<td align="center">2 (3.64)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">LAD/D1</td>
<td align="center">82 (30.7)</td>
<td align="center">17 (30.9)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Cx/OM/IM</td>
<td align="center">91 (34.1)</td>
<td align="center">10 (18.2)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">RCA/PDA/PLA</td>
<td align="center">86 (32.2)</td>
<td align="center">26 (47.3)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Lesion length [mm]</td>
<td align="center">9.5 [7.1–14.1]</td>
<td align="center">12.9 [8.1–19.2]</td>
<td align="center">0.01</td>
</tr>
<tr>
<td align="left">Total stent length per lesion [mm]</td>
<td align="center">16 [13–22]</td>
<td align="center">20 [15–29]</td>
<td align="center">0.002</td>
</tr>
<tr>
<td align="left">Lesion type</td>
<td align="center"/>
<td align="center"/>
<td align="center">0.03</td>
</tr>
<tr>
<td align="left">A/B1</td>
<td align="center">183 (68.5)</td>
<td align="center">29 (52.3)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">B2/C</td>
<td align="center">84 (31.5)</td>
<td align="center">26 (47.7)</td>
<td align="center"/>
</tr>
<tr>
<td align="left">Vessel diameter [mm]</td>
<td align="center">2.8 [2.4–3.2]</td>
<td align="center">2.5 [2.1–2.8]</td>
<td align="center">0.0001</td>
</tr>
<tr>
<td align="left">Vessel diameter &lt;2.5mm</td>
<td align="center">87 (32.6)</td>
<td align="center">29 (52.7)</td>
<td align="center">0.01</td>
</tr>
<tr>
<td align="left">Stent underexpansion</td>
<td align="center">4 (1.5)</td>
<td align="center">1 (1.82)</td>
<td align="center">0.86</td>
</tr>
<tr>
<td align="left">Dissection</td>
<td align="center">9 (3.4)</td>
<td align="center">6 (10.9)</td>
<td align="center">0.02</td>
</tr>
<tr>
<td align="left">Ostial lesion</td>
<td align="center">7(2.62)</td>
<td align="center">7(12.7)</td>
<td align="center">0.01</td>
</tr>
<tr>
<td align="left">Bifurcation</td>
<td align="center">23 (8.6)</td>
<td align="center">7 (12.7)</td>
<td align="center">0.34</td>
</tr>
<tr>
<td align="left">Predilatation</td>
<td align="center">142 (53.2)</td>
<td align="center">42 (73.4)</td>
<td align="center">0.002</td>
</tr>
<tr>
<td align="left">Postdilatation</td>
<td align="center">24 (9.0)</td>
<td align="center">4 (7.3)</td>
<td align="center">0.68</td>
</tr>
<tr>
<td align="left">Percent lumen stenosis [%]</td>
<td align="center">91 [85–95]</td>
<td align="center">92 [86–97]</td>
<td align="center">0.14</td>
</tr>
<tr>
<td align="left">Minimal Lumen Diameter (post stent) [mm]</td>
<td align="center">2.8 [2.5–3.1]</td>
<td align="center">2.5 [2.3–2.8]</td>
<td align="center">0.001</td>
</tr>
<tr>
<td align="left">Minimal Lumen Diameter (follow up) [mm]</td>
<td align="center">2.5 [2.1–2.9]</td>
<td align="center">0.5 [0.3–0.9]</td>
<td align="center">&lt;0.0001</td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<fn id="t003fn001"><p>Continuous variables are presented as median [interquartile range]. Dichotomic variables are presented as number of patients (percentage).</p></fn>
<fn id="t003fn002"><p>Abbreviations: LM–Left main, LAD–left anterior descending artery, D1 – 1<sup>st</sup> diagonal branch, Cx–circumflex artery, OM–obtuse marginal branch, IM–intermediate branch, RCA–right coronary artery, PDA–posterior descending artery, PLA–posterolateral artery.</p></fn>
</table-wrap-foot>
</table-wrap>
<p>The study was approved by the Ethics Committee of the Silesian Medical Chamber, Katowice, Poland. All patients gave their signed consent to participation.</p>
</sec>
</sec>
<sec id="sec011" sec-type="results">
<title>Results</title>
<sec id="sec012">
<title>Clinical and angiographic characteristics</title>
<p>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 (<xref ref-type="table" rid="pone.0150500.t002">Table 2</xref>). 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 [<xref ref-type="bibr" rid="pone.0150500.ref031">31</xref>]. 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 (<xref ref-type="table" rid="pone.0150500.t003">Table 3</xref>).</p>
</sec>
<sec id="sec013">
<title>Genetic analysis results</title>
<p>The observed frequencies of polymorphisms conformed to HWE for the <italic>PDGFB</italic>, <italic>bFGF</italic>, <italic>VEGF-A</italic> and <italic>TGFB1</italic> genes, but a deviation from HWE was observed for the distribution of the polymorphism of the <italic>EGF</italic> gene (p = 0.007). Angiographically significant ISR was significantly less frequent in individuals with the A/A genotype of rs180047 (<italic>TGFB1</italic>) versus individuals with the A/G and G/G genotypes (<xref ref-type="table" rid="pone.0150500.t004">Table 4</xref>). 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 (<xref ref-type="table" rid="pone.0150500.t004">Table 4</xref>).</p>
<table-wrap id="pone.0150500.t004" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0150500.t004</object-id>
<label>Table 4</label> <caption><title>Distribution of the genotypes of the analysed polymorphisms and the frequency of restenosis in relation to genotypes in the analysed cohort.</title></caption>
<alternatives>
<graphic id="pone.0150500.t004g" mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0150500.t004" xlink:type="simple"/>
<table>
<colgroup>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
</colgroup>
<thead>
<tr>
<th align="center">Gene/Polymorphism</th>
<th align="center"/>
<th align="center">Homozygous major</th>
<th align="center">Heterozygous</th>
<th align="center">Homozygous minor</th>
<th align="center">P value</th>
<th align="center">MAF</th>
<th align="center">MAF EU population [<xref ref-type="bibr" rid="pone.0150500.ref032">32</xref>]</th>
</tr>
</thead>
<tbody>
<tr>
<td align="center"><italic>TGFB1</italic> (rs1800470)</td>
<td align="center">Genotype frequency, n(%)</td>
<td align="center">83 (32)</td>
<td align="center">122 (47.1)</td>
<td align="center">54 (20.9)</td>
<td align="center"/>
<td align="center">44%</td>
<td align="center">38%</td>
</tr>
<tr>
<td align="left"/>
<td align="center">Restenosis, n (%)</td>
<td align="center">11 (13.3)</td>
<td align="center">31 (25.4)</td>
<td align="center">10 (18.5)</td>
<td align="center">0.09</td>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="center"><italic>PDGFB</italic> (rs2285094)</td>
<td align="center">Genotype frequency, n (%)</td>
<td align="center">37 (14.0)</td>
<td align="center">124 (46.8)</td>
<td align="left">104 (39.2)</td>
<td align="left"/>
<td align="center">47%</td>
<td align="center">46%</td>
</tr>
<tr>
<td align="left"/>
<td align="center">Restenosis, n (%)</td>
<td align="center">10 (27.0)</td>
<td align="center">21 (16.9)</td>
<td align="center">22 (21.2)</td>
<td align="center">0.38</td>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="center"><italic>EGF</italic> (rs4444903)</td>
<td align="center">Genotype frequency, n(%)</td>
<td align="center">94 (35.5)</td>
<td align="center">109 (41.1)</td>
<td align="center">62 (23.4)</td>
<td align="center"/>
<td align="center">44%</td>
<td align="center">39%</td>
</tr>
<tr>
<td align="left"/>
<td align="center">Restenosis, n (%)</td>
<td align="center">19 (19.1)</td>
<td align="center">22 (20.2)</td>
<td align="center">13 (21.0)</td>
<td align="center">0.98</td>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="center"><italic>bFGF</italic> (rs308395)</td>
<td align="center">Genotype frequency, n(%)</td>
<td align="center">210 (79.5)</td>
<td align="center">51 (19.3)</td>
<td align="center">3 (1.2)</td>
<td align="center"/>
<td align="center">11%</td>
<td align="center">16%</td>
</tr>
<tr>
<td align="left"/>
<td align="center">Restenosis, n (%)</td>
<td align="center">42 (20.0)</td>
<td align="center">10 (19.6)</td>
<td align="center">1 (33.3)</td>
<td align="center">0.71</td>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="center"><italic>VEGF-A</italic> (rs699947)</td>
<td align="center">Genotype frequency, n(%)</td>
<td align="center">77 (29.2)</td>
<td align="center">123 (46.6)</td>
<td align="center">64 (24.2)</td>
<td align="center"/>
<td align="center">48%</td>
<td align="center">50%</td>
</tr>
<tr>
<td align="left"/>
<td align="center">Restenosis, n (%)</td>
<td align="center">19 (24.7)</td>
<td align="center">22 (17.9)</td>
<td align="center">12 (18.8)</td>
<td align="center">0.48</td>
<td align="center"/>
<td align="center"/>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<fn id="t004fn001"><p>Abbreviations: EU–European, <italic>TGFB1 –transforming growth factor beta 1</italic>, <italic>PDGFB—platelet-derived growth factor beta polypeptide</italic>, <italic>EGF–epidermal growth factor</italic>, <italic>bFGF–basic fibroblast growth factor</italic>, <italic>VEGF-A–vascular endothelial growth factor A</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec014">
<title>Angiographically significant ISR–multivariable analysis</title>
<p>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 (<xref ref-type="table" rid="pone.0150500.t005">Table 5</xref>).</p>
<table-wrap id="pone.0150500.t005" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0150500.t005</object-id>
<label>Table 5</label> <caption><title>Association of genotype with angiographically significant restenosis.</title></caption>
<alternatives>
<graphic id="pone.0150500.t005g" mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0150500.t005" xlink:type="simple"/>
<table>
<colgroup>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
</colgroup>
<thead>
<tr>
<th align="center">Gene/Polymorphism</th>
<th align="center">Dominant Model; OR (95% CI)</th>
<th align="center">P</th>
<th align="center">Recessive Mode; OR (95% CI)</th>
<th align="center">P</th>
<th align="center">Log additive model; OR (95% CI)</th>
<th align="center">P</th>
</tr>
</thead>
<tbody>
<tr>
<td align="left"><bold><italic>TGFB1</italic> genotype</bold></td>
<td align="center"><bold>A/A (ref.) vs. (A/G + G/G)</bold></td>
<td align="center"/>
<td align="center"><bold>(A/A + A/G) (ref.) vs. G/G</bold></td>
<td align="center"/>
<td align="center"><bold>Per each G allele</bold></td>
<td align="center"/>
</tr>
<tr>
<td align="left">OR unadjusted</td>
<td align="center">1.99 (0.96–4.10)</td>
<td align="center">0.05</td>
<td align="center">0.88 (0.41–1.90)</td>
<td align="center">0.75</td>
<td align="center">1.25 (0.82–1.91)</td>
<td align="center">0.30</td>
</tr>
<tr>
<td align="left">OR adjusted</td>
<td align="center">2.27 (1.06–4.87)</td>
<td align="center">0.03</td>
<td align="center">0.94 (0.42–2.08)</td>
<td align="center">0.87</td>
<td align="center">1.35 (0.86–2.10)</td>
<td align="center">0.19</td>
</tr>
<tr>
<td align="left"><bold><italic>PDGFB</italic> genotype</bold></td>
<td align="center"><bold>T/T (ref.) vs. (T/C + C/C)</bold></td>
<td align="center"/>
<td align="center"><bold>(T/T + T/C) (ref.) vs. (C/C)</bold></td>
<td align="center"/>
<td align="center"><bold>Per each C allele</bold></td>
<td align="center"/>
</tr>
<tr>
<td align="left">OR unadjusted</td>
<td align="center">0.89 (0.48–1.64)</td>
<td align="center">0.71</td>
<td align="center">1.59 (0.72–3.54)</td>
<td align="center">0.26</td>
<td align="center">1.07 (0.69–1.66)</td>
<td align="center">0.75</td>
</tr>
<tr>
<td align="left">OR adjusted</td>
<td align="center">0.87 (0.46–1.64)</td>
<td align="center">0.67</td>
<td align="center">1.44 (0.63–3.30)</td>
<td align="center">0.40</td>
<td align="center">1.03 (0.66–1.62)</td>
<td align="center">0.89</td>
</tr>
<tr>
<td align="left"><bold><italic>EGF</italic> genotype</bold></td>
<td align="center"><bold>A/A (ref.) vs. (A/G + G/G)</bold></td>
<td align="center"/>
<td align="center"><bold>(A/A + A/G) (ref.) vs. G/G</bold></td>
<td align="center"/>
<td align="center"><bold>Per each G allele</bold></td>
<td align="center"/>
</tr>
<tr>
<td align="left">OR unadjusted</td>
<td align="center">1.09 (0.58–2.05)</td>
<td align="center">0.80</td>
<td align="center">1.08 (0.54–2.18)</td>
<td align="center">0.83</td>
<td align="center">1.06 (0.71–1.57)</td>
<td align="center">0.78</td>
</tr>
<tr>
<td align="left">OR adjusted</td>
<td align="center">1.02 (0.53–1.97)</td>
<td align="center">0.94</td>
<td align="center">0.94 (0.45–1.95)</td>
<td align="center">0.86</td>
<td align="center">0.99 (0.66–1.49)</td>
<td align="center">0.95</td>
</tr>
<tr>
<td align="left"><bold><italic>bFGF</italic> genotype</bold></td>
<td align="center"><bold>C/C (ref.) vs. (C/G + G/G)</bold></td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="left">OR unadjusted</td>
<td align="center">1.02 (0.49–2.15)</td>
<td align="center">0.95</td>
<td align="center"><xref ref-type="table-fn" rid="t005fn001">*</xref></td>
<td align="center"><xref ref-type="table-fn" rid="t005fn001">*</xref></td>
<td align="center"><xref ref-type="table-fn" rid="t005fn001">*</xref></td>
<td align="center"><xref ref-type="table-fn" rid="t005fn001">*</xref></td>
</tr>
<tr>
<td align="left">OR adjusted</td>
<td align="center">1.29 (0.59–2.81)</td>
<td align="center">0.53</td>
<td align="center"><xref ref-type="table-fn" rid="t005fn001">*</xref></td>
<td align="center"><xref ref-type="table-fn" rid="t005fn001">*</xref></td>
<td align="center"><xref ref-type="table-fn" rid="t005fn001">*</xref></td>
<td align="center"><xref ref-type="table-fn" rid="t005fn001">*</xref></td>
</tr>
<tr>
<td align="left"><bold><italic>VEGF-A</italic> genotype</bold></td>
<td align="center"><bold>A/A (ref.) vs. (A/C + C/C)</bold></td>
<td align="center"/>
<td align="center"><bold>(A/A + A/C) vs. C/C</bold></td>
<td align="center"/>
<td align="center"><bold>Per each C allele</bold></td>
<td align="center"/>
</tr>
<tr>
<td align="left">OR unadjusted</td>
<td align="center">0.68 (0.36–1.28)</td>
<td align="center">0.24</td>
<td align="center">0.89 (0.44–1.83)</td>
<td align="center">0.76</td>
<td align="center">0.82 (0.54–1.25)</td>
<td align="center">0.35</td>
</tr>
<tr>
<td align="left">OR adjusted</td>
<td align="center">0.69 (0.36–1.34)</td>
<td align="center">0.28</td>
<td align="center">0.96 (0.46–2.00)</td>
<td align="center">0.91</td>
<td align="center">0.85 (0.55–1.30)</td>
<td align="center">0.45</td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<fn id="t005fn001"><p>* not calculated because of low number of minor homozygotes.</p></fn>
<fn id="t005fn002"><p>The models were adjusted for clinical variables that reached p value of &lt;0.3 in the comparison of patients with and without significant ISR.</p></fn>
<fn id="t005fn003"><p>Abbreviations: <italic>TGFB1 –transforming growth factor beta 1</italic>, <italic>PDGFB—platelet-derived growth factor beta polypeptide</italic>, <italic>EGF–epidermal growth factor</italic>, <italic>bFGF–basic fibroblast growth factor</italic>, <italic>VEGF-A–vascular endothelial growth factor A</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="sec015">
<title>Late lumen loss–multivariable analysis</title>
<p>In the multivariable analysis, LLL was significantly lower in patients with the A/A genotype of rs1800470 (<italic>TGFB1</italic>) versus those with the A/G and G/G genotypes and higher in patients with the A/A genotype of the <italic>VEGF-A</italic> polymorphism versus the A/C and C/C genotypes. The C/C genotype of rs2285094 (<italic>PDGFB</italic>) was associated with higher lumen loss compared to C/T heterozygotes and T/T homozygotes (<xref ref-type="table" rid="pone.0150500.t006">Table 6</xref>).</p>
<table-wrap id="pone.0150500.t006" position="float">
<object-id pub-id-type="doi">10.1371/journal.pone.0150500.t006</object-id>
<label>Table 6</label> <caption><title>Genotype and late lumen loss in the analyzed population.</title></caption>
<alternatives>
<graphic id="pone.0150500.t006g" mimetype="image" position="float" xlink:href="info:doi/10.1371/journal.pone.0150500.t006" xlink:type="simple"/>
<table>
<colgroup>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
<col align="left" valign="middle"/>
</colgroup>
<thead>
<tr>
<th align="center">Gene/Polymorphism</th>
<th align="center" colspan="2">Dominant Model (mean ± standard error)</th>
<th align="center">P</th>
<th align="center" colspan="2">Recessive Model (mean ± standard error)</th>
<th align="center">P</th>
<th align="center">Log additive</th>
<th align="center">P</th>
</tr>
<tr>
<th align="center"/>
<th align="center" colspan="2">Genotypes</th>
<th align="center"/>
<th align="center" colspan="2">Genotypes</th>
<th align="center"/>
<th align="center">Difference per minor allele (95%CI)</th>
<th align="center"/>
</tr>
</thead>
<tbody>
<tr>
<td align="center"><bold><italic>TGFB1</italic></bold>(rs1800470)</td>
<td align="center">A/A (ref.)</td>
<td align="center">A/G + G/G</td>
<td align="center"/>
<td align="center">A/A + A/G (ref.)</td>
<td align="center">G/G</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="center"/>
<td align="center">0.495 ± 0.069</td>
<td align="center">0.658 ± 0.054</td>
<td align="center">0.008</td>
<td align="center">0.621 ± 0.049</td>
<td align="center">0.547 ± 0.084</td>
<td align="center">0.59</td>
<td align="center">0.07 (-0.032 ÷ 0.184)</td>
<td align="center">0.17</td>
</tr>
<tr>
<td align="center"><bold><italic>PDGFB</italic></bold> (rs2285094)</td>
<td align="center">T/T (ref.)</td>
<td align="center">T/C + C/C</td>
<td align="center"/>
<td align="center">T/T + T/C (ref.)</td>
<td align="center">C/C</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="center"/>
<td align="center">0.578 ± 0.067</td>
<td align="center">0.615 ± 0.054</td>
<td align="center">0.14</td>
<td align="center">0.57 ± 0.042</td>
<td align="center">0.80 ± 0.154</td>
<td align="center">0.03</td>
<td align="center">0.127 (0.012 ÷ 0.242)</td>
<td align="center">0.03</td>
</tr>
<tr>
<td align="center"><bold><italic>EGF</italic></bold> (rs4444903)</td>
<td align="center">A/A (ref.)</td>
<td align="center">A/G + G/G</td>
<td align="center"/>
<td align="center">A/A + A/G (ref.)</td>
<td align="center">G/G</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="center"/>
<td align="center">0.56 ± 0.07</td>
<td align="center">0.623 ± 0.05</td>
<td align="center">0.68</td>
<td align="center">0.576 ± 0.047</td>
<td align="center">0.684 ± 0.092</td>
<td align="center">0.99</td>
<td align="center">-0.013 (-0.116 ÷ 0.089)</td>
<td align="center">0.80</td>
</tr>
<tr>
<td align="center"><bold><italic>bFGF</italic></bold> (rs308395)</td>
<td align="center">C/C (ref.)</td>
<td align="center">C/G + G/G</td>
<td align="center"/>
<td align="center">C/C + C/G (ref.)</td>
<td align="center">G/G</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="center"/>
<td align="center">0.591 ± 0.046</td>
<td align="center">0.65 ± 0.102</td>
<td align="center">0.48</td>
<td align="center"><xref ref-type="table-fn" rid="t006fn001">*</xref></td>
<td align="center"><xref ref-type="table-fn" rid="t006fn001">*</xref></td>
<td align="center"/>
<td align="center"><xref ref-type="table-fn" rid="t006fn001">*</xref></td>
<td align="center"/>
</tr>
<tr>
<td align="center"><bold><italic>VEGF-A</italic></bold> (rs699947)</td>
<td align="center">A/A (ref.)</td>
<td align="center">A/C + C/C</td>
<td align="center"/>
<td align="center">A/A + A/C (ref.)</td>
<td align="center">C/C</td>
<td align="center"/>
<td align="center"/>
<td align="center"/>
</tr>
<tr>
<td align="center"/>
<td align="center">0.678 ± 0.083</td>
<td align="center">0.57 ± 0.049</td>
<td align="center">0.03</td>
<td align="center">0.579 ± 0.047</td>
<td align="center">0.692 ± 0.098</td>
<td align="center">0.47</td>
<td align="center">-0.057 (-0.165 ÷ 0.051)</td>
<td align="center">0.30</td>
</tr>
</tbody>
</table>
</alternatives>
<table-wrap-foot>
<fn id="t006fn001"><p>* not calculated because of low number of minor homozygotes.</p></fn>
<fn id="t006fn002"><p>The models were adjusted for angiographic variables that reached p value of &lt;0.3 in the comparison of patients with and without significant ISR.</p></fn>
<fn id="t006fn003"><p>Abbreviations: <italic>TGFB1 –transforming growth factor beta 1</italic>, <italic>PDGFB—platelet-derived growth factor beta polypeptide</italic>, <italic>EGF–epidermal growth factor</italic>, <italic>bFGF–basic fibroblast growth factor</italic>, <italic>VEGF-A–vascular endothelial growth factor A</italic>.</p></fn>
</table-wrap-foot>
</table-wrap>
</sec>
</sec>
<sec id="sec016" sec-type="conclusions">
<title>Discussion</title>
<p>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 <italic>TGFB1</italic> 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).</p>
<sec id="sec017">
<title>Rs1800470 (<italic>TGFB1</italic>)</title>
<p>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 [<xref ref-type="bibr" rid="pone.0150500.ref033">33</xref>]; however, at levels exceeding 1–2 fg/cell, TGF-β1 may stimulate proliferation of SMCs, fibroblasts and chondrocytes [<xref ref-type="bibr" rid="pone.0150500.ref011">11</xref>]. 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 [<xref ref-type="bibr" rid="pone.0150500.ref034">34</xref>]. 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 [<xref ref-type="bibr" rid="pone.0150500.ref035">35</xref>–<xref ref-type="bibr" rid="pone.0150500.ref037">37</xref>], whereas other authors postulated higher levels in T/T homozygotes [<xref ref-type="bibr" rid="pone.0150500.ref038">38</xref>].</p>
<p>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 [<xref ref-type="bibr" rid="pone.0150500.ref039">39</xref>,<xref ref-type="bibr" rid="pone.0150500.ref040">40</xref>]. 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 [<xref ref-type="bibr" rid="pone.0150500.ref014">14</xref>]. 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 [<xref ref-type="bibr" rid="pone.0150500.ref041">41</xref>]. 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 [<xref ref-type="bibr" rid="pone.0150500.ref014">14</xref>]. These differences, although difficult to explain, are common in terms of the analysis of the already mentioned relationship between <italic>TGFB1</italic> 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 [<xref ref-type="bibr" rid="pone.0150500.ref042">42</xref>,<xref ref-type="bibr" rid="pone.0150500.ref043">43</xref>]. 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 [<xref ref-type="bibr" rid="pone.0150500.ref035">35</xref>,<xref ref-type="bibr" rid="pone.0150500.ref044">44</xref>]. In an European population, T allele carriers with rheumatoid arthritis more frequently suffered from hypertension [<xref ref-type="bibr" rid="pone.0150500.ref045">45</xref>]. One study implied a higher risk of IgA nephropathy development in T allele carriers [<xref ref-type="bibr" rid="pone.0150500.ref046">46</xref>], whereas another study did not confirm this relationship [<xref ref-type="bibr" rid="pone.0150500.ref047">47</xref>]. 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.</p>
</sec>
<sec id="sec018">
<title>Rs2285094 of the <italic>PDGFB</italic> gene</title>
<p><italic>PDGFB</italic> 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 [<xref ref-type="bibr" rid="pone.0150500.ref048">48</xref>,<xref ref-type="bibr" rid="pone.0150500.ref049">49</xref>]. PDGFB receptor kinase inhibitors inhibit neointima formation in an experimental model [<xref ref-type="bibr" rid="pone.0150500.ref048">48</xref>]. Rs2285094 is located in an intron near a splice site. This polymorphism has been associated with a risk of scleroderma development [<xref ref-type="bibr" rid="pone.0150500.ref017">17</xref>]. No relationship was observed between the risk of type 1 diabetes and IgA nephropathy development and the rs2285094 genotype [<xref ref-type="bibr" rid="pone.0150500.ref015">15</xref>,<xref ref-type="bibr" rid="pone.0150500.ref016">16</xref>]. 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.</p>
</sec>
<sec id="sec019">
<title>Polymorphisms of the <italic>EGF</italic>, <italic>bFGF</italic> and <italic>VEGF-A</italic> genes</title>
<p>Damage to the layer of SMCs results in the release of preformed growth factors, including bFGF and EGF [<xref ref-type="bibr" rid="pone.0150500.ref050">50</xref>]. Under experimental conditions, mitogen activity in the medium in which SMCs were immersed decreased by 34% following administration of anti-EGF antibodies [<xref ref-type="bibr" rid="pone.0150500.ref050">50</xref>]. EGF may influence restenosis primarily through SMC migration to the vessel lumen because an EGF receptor antagonist inhibited SMC migration but not proliferation [<xref ref-type="bibr" rid="pone.0150500.ref051">51</xref>]. A relationship between rs4444903 and a risk of development and malignancy of numerous neoplastic diseases was demonstrated [<xref ref-type="bibr" rid="pone.0150500.ref020">20</xref>,<xref ref-type="bibr" rid="pone.0150500.ref052">52</xref>,<xref ref-type="bibr" rid="pone.0150500.ref053">53</xref>], 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.</p>
<p>bFGF is a growth factor influencing both smooth muscle and endothelial cells. Rs308395 is located within the <italic>bFGF</italic> gene promoter region; thus, it may influence the binding of transcription factors and <italic>bFGF</italic> expression [<xref ref-type="bibr" rid="pone.0150500.ref018">18</xref>,<xref ref-type="bibr" rid="pone.0150500.ref019">19</xref>]. 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 [<xref ref-type="bibr" rid="pone.0150500.ref019">19</xref>]. 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 [<xref ref-type="bibr" rid="pone.0150500.ref054">54</xref>], whereas SMC proliferation after arterial wall injury is inhibited by antibodies directed against bFGF [<xref ref-type="bibr" rid="pone.0150500.ref055">55</xref>]. However, in dogs undergoing iliac artery angioplasty, bFGF infusion restored endothelium-dependent and -independent relaxation of the arterial wall and reduced LLL [<xref ref-type="bibr" rid="pone.0150500.ref056">56</xref>]. As bFGF stimulates endothelial cell proliferation, thereby accelerating stent endothelialisation, bFGF was proposed as a possible substance for stent coating [<xref ref-type="bibr" rid="pone.0150500.ref057">57</xref>]. Similar studies are in progress for VEGF-A, which also stimulates endothelial cell proliferation [<xref ref-type="bibr" rid="pone.0150500.ref058">58</xref>]. Furthermore, higher VEGF-A levels after PCI are related to restenosis in stents coated with an antimitotic drug [<xref ref-type="bibr" rid="pone.0150500.ref005">5</xref>,<xref ref-type="bibr" rid="pone.0150500.ref059">59</xref>]. 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 [<xref ref-type="bibr" rid="pone.0150500.ref060">60</xref>]. Additionally, a higher risk of colon cancer and osteosarcoma was identified in carriers of the A allele [<xref ref-type="bibr" rid="pone.0150500.ref061">61</xref>]. Relationships have also been identified between <italic>VEGF-A</italic> polymorphisms and the development of collateral circulation in individuals with coronary artery disease [<xref ref-type="bibr" rid="pone.0150500.ref023">23</xref>], the risk of coronary artery disease in the general population [<xref ref-type="bibr" rid="pone.0150500.ref062">62</xref>], and myocardial infarction in patients with rheumatoid arthritis [<xref ref-type="bibr" rid="pone.0150500.ref063">63</xref>]. 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.</p>
</sec>
<sec id="sec020">
<title>Study strengths and limitations</title>
<p>The strengths of this study include the first (with the exception of the <italic>TGFB1</italic> gene) polymorphism analysis of genes encoding growth factor proteins with confirmed roles in restenosis. Polymorphisms of the <italic>TGFB1</italic>, <italic>VEGF-A</italic>, <italic>bFGF</italic> and <italic>EGF</italic> 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 <italic>bFGF</italic> gene.</p>
</sec>
</sec>
<sec id="sec021" sec-type="conclusions">
<title>Conclusions</title>
<p>The polymorphisms rs1800470, rs2285094 and rs6999447 of the <italic>TGFB1</italic>, <italic>PDGFB</italic> and <italic>VEGF-A</italic> genes, respectively, are associated with LLL in patients with SCAD treated by PCI with a metal stent implantation.</p>
</sec>
</body>
<back>
<ack>
<p>We would like to thank Mr Andrzej Szafranek for help in managing patients’ electronic history database.</p>
</ack>
<ref-list>
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