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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cardiovasc. Med.</journal-id>
<journal-title>Frontiers in Cardiovascular Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cardiovasc. Med.</abbrev-journal-title>
<issn pub-type="epub">2297-055X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcvm.2022.1027892</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cardiovascular Medicine</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The role of clopidogrel resistance-related genetic and epigenetic factors in major adverse cardiovascular events among patients with acute coronary syndrome after percutaneous coronary intervention</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name><surname>Giantini</surname> <given-names>Astuti</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x0002A;</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1972957/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Timan</surname> <given-names>Ina S.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/274005/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Dharma</surname> <given-names>Rahajuningsih</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Sukmawan</surname> <given-names>Renan</given-names></name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/1509904/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Setiabudy</surname> <given-names>Rianto</given-names></name>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Alwi</surname> <given-names>Idrus</given-names></name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Harahap</surname> <given-names>Alida R.</given-names></name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Listiyaningsih</surname> <given-names>Erlin</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2099729/overview"/>
</contrib>
<contrib contrib-type="author">
<name><surname>Partakusuma</surname> <given-names>Lia G.</given-names></name>
<xref ref-type="aff" rid="aff6"><sup>6</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Tansir</surname> <given-names>Arif R.</given-names></name>
<xref ref-type="aff" rid="aff7"><sup>7</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Sahar</surname> <given-names>Windy</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
</contrib>
<contrib contrib-type="author">
<name><surname>Hidayat</surname> <given-names>Rakhmad</given-names></name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
<xref ref-type="aff" rid="aff8"><sup>8</sup></xref>
<uri xlink:href="http://loop.frontiersin.org/people/2106442/overview"/>
</contrib>
</contrib-group>
<aff id="aff1"><sup>1</sup><institution>Clinical Pathology Department, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo National Public Hospital</institution>, <addr-line>Central Jakarta</addr-line>, <country>Indonesia</country></aff>
<aff id="aff2"><sup>2</sup><institution>Universitas Indonesia Hospital, Universitas Indonesia</institution>, <addr-line>Depok</addr-line>, <country>Indonesia</country></aff>
<aff id="aff3"><sup>3</sup><institution>Cardiology and Vascular Medicine Department, Faculty of Medicine, Universitas Indonesia, National Cardiovascular Center Harapan Kita</institution>, <addr-line>West Jakarta</addr-line>, <country>Indonesia</country></aff>
<aff id="aff4"><sup>4</sup><institution>Pharmacology and Therapeutics Department, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo National Public Hospital</institution>, <addr-line>Central Jakarta</addr-line>, <country>Indonesia</country></aff>
<aff id="aff5"><sup>5</sup><institution>Internal Medicine Department, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo National Public Hospital</institution>, <addr-line>Central Jakarta</addr-line>, <country>Indonesia</country></aff>
<aff id="aff6"><sup>6</sup><institution>National Cardiovascular Center Harapan Kita</institution>, <addr-line>West Jakarta</addr-line>, <country>Indonesia</country></aff>
<aff id="aff7"><sup>7</sup><institution>Faculty of Medicine, Universitas Indonesia</institution>, <addr-line>Central Jakarta</addr-line>, <country>Indonesia</country></aff>
<aff id="aff8"><sup>8</sup><institution>Neurology Department, Faculty of Medicine, Universitas Indonesia, Dr. Cipto Mangunkusumo National Public Hospital</institution>, <addr-line>Central Jakarta</addr-line>, <country>Indonesia</country></aff>
<author-notes>
<fn fn-type="edited-by"><p>Edited by: Tommaso Gori, Johannes Gutenberg University Mainz, Germany</p></fn>
<fn fn-type="edited-by"><p>Reviewed by: Mihaela Popescu, Carol Davila University of Medicine and Pharmacy, Romania; Carolina Dagli Hernandez, Independent Researcher, S&#x000E3;o Paulo, Brazil</p></fn>
<corresp id="c001">&#x0002A;Correspondence: Astuti Giantini &#x02709; <email>astutigiantini&#x00040;gmail.com</email></corresp>
<fn fn-type="other" id="fn001"><p>This article was submitted to Coronary Artery Disease, a section of the journal Frontiers in Cardiovascular Medicine</p></fn></author-notes>
<pub-date pub-type="epub">
<day>08</day>
<month>02</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>9</volume>
<elocation-id>1027892</elocation-id>
<history>
<date date-type="received">
<day>25</day>
<month>08</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>30</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x000A9; 2023 Giantini, Timan, Dharma, Sukmawan, Setiabudy, Alwi, Harahap, Listiyaningsih, Partakusuma, Tansir, Sahar and Hidayat.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Giantini, Timan, Dharma, Sukmawan, Setiabudy, Alwi, Harahap, Listiyaningsih, Partakusuma, Tansir, Sahar and Hidayat</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/"><p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p></license>
</permissions>
<abstract>
<p>Despite patients with acute coronary syndrome (ACS) undergoing percutaneous coronary intervention (PCI) and receiving clopidogrel therapy, some patients still experience major adverse cardiovascular events (MACEs). Clopidogrel resistance, which may be regulated by genetic and epigenetic factors, may play a role in MACEs. This study aimed to determine the association between genetic (<italic>CYP2C19</italic> and <italic>P2Y12</italic> polymorphisms) and epigenetic (DNA methylation of <italic>CYP2C19</italic> and <italic>P2Y12</italic> and miRNA-26a expression) factors and their effects on MACEs among post-PCI patients. Post-PCI patients who received a standard dosage of clopidogrel at Harapan Kita Hospital between September 2018 and June 2020 were included in this study. MACEs were observed in patients within 1 year after PCI. Platelet aggregation was assessed using light transmission aggregometry (LTA). DNA methylation of <italic>CYP2C19</italic> and <italic>P2Y12</italic> was assessed using the bisulfite conversion method. <italic>CYP2C19</italic> and <italic>P2Y12</italic> polymorphisms and miRNA-26a expression were evaluated using quantitative real-time polymerase chain reaction (qRT-PCR). Among a total of 201 subjects, 49.8% were clopidogrel-resistant, and 14.9% experienced MACEs within 1 year after PCI (death was 7.5%). Hypomethylation of <italic>CYP2C19</italic> (<italic>p</italic> = 0.037) and miRNA-26a upregulation (<italic>p</italic> = 0.020) were associated with clopidogrel resistance. CYP2C19<sup>&#x0002A;</sup>2/<sup>&#x0002A;</sup>3 polymorphisms (<italic>p</italic> = 0.047) were associated with MACEs in 1 year. This study demonstrated that hypomethylation of <italic>CYP2C19</italic> and miRNA-26a upregulation increased the risk of clopidogrel resistance in post-PCI patients, but there was no correlation between clopidogrel resistance and MACEs. However, CYP2C19<sup>&#x0002A;</sup>2/<sup>&#x0002A;</sup>3 polymorphisms were the factors that predicted MACEs within 1 year.</p></abstract>
<kwd-group>
<kwd>acute coronary syndrome</kwd>
<kwd>clopidogrel resistance</kwd>
<kwd>epigenetic factor</kwd>
<kwd>genetic factor</kwd>
<kwd>major adverse cardiovascular events</kwd>
</kwd-group>
<counts>
<fig-count count="1"/>
<table-count count="5"/>
<equation-count count="0"/>
<ref-count count="66"/>
<page-count count="12"/>
<word-count count="9088"/>
</counts>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1. Introduction</title>
<p>Coronary heart diseases (CHDs), which encompass acute coronary syndrome (ACS) and myocardial infarction (MI), continue to be a major global health problem and the leading cause of death worldwide, accounting for 16% of the 55.4 million total deaths worldwide in 2019 (<xref ref-type="bibr" rid="B1">1</xref>). Percutaneous coronary intervention (PCI) is a non-surgical revascularization method that is commonly performed to restore coronary blood flow (<xref ref-type="bibr" rid="B2">2</xref>). Patients undergoing PCI are still at risk of developing major adverse cardiac events (MACEs), such as recurrent angina pectoris, recurrent acute myocardial infarction (AMI), stroke, and death (<xref ref-type="bibr" rid="B3">3</xref>&#x02013;<xref ref-type="bibr" rid="B5">5</xref>). A combination of aspirin and clopidogrel (dual antiplatelet therapy) has become a standard pharmacotherapeutic modality to prevent the onset and recurrence of ischemic events, thereby reducing MACEs (<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B6">6</xref>). Inadequate clopidogrel response leads to decreased inhibition of platelets, a condition known as clopidogrel resistance, which is quite common (<xref ref-type="bibr" rid="B7">7</xref>). Studies in Asia showed that the prevalence of clopidogrel resistance was as high as 20&#x02013;65% according to the platelet aggregation test (<xref ref-type="bibr" rid="B8">8</xref>). Some studies have demonstrated the association between clopidogrel response and ischemic events (<xref ref-type="bibr" rid="B9">9</xref>, <xref ref-type="bibr" rid="B10">10</xref>). The clopidogrel resistance in-stent thrombosis (CREST) study has shown the association of clopidogrel resistance with in-stent thrombosis (<xref ref-type="bibr" rid="B9">9</xref>). In a case report, antiplatelet agent substitution guided by resistance information is shown to reduce the incidence of in-stent restenosis (<xref ref-type="bibr" rid="B10">10</xref>).</p>
<p>Clopidogrel is a prodrug activated by liver cytochrome P450, particularly <italic>CYP2C19</italic>. Clopidogrel inhibits adenosine diphosphate (ADP) <italic>P2Y12</italic> receptors on platelets (<xref ref-type="bibr" rid="B6">6</xref>). Clopidogrel response is regulated by several factors, such as drug interactions, compliance, comorbidities, and genetic and epigenetic factors (<xref ref-type="bibr" rid="B11">11</xref>&#x02013;<xref ref-type="bibr" rid="B19">19</xref>). <italic>CYP2C19</italic> polymorphisms marked by CYP2C19<sup>&#x0002A;</sup>2 and CYP2C19<sup>&#x0002A;</sup>3 loss-of-function alleles lead to decreased enzymatic activity related to the biotransformation of clopidogrel (<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>). The <italic>P2Y12</italic> polymorphism is also associated with an increased risk of clopidogrel resistance (<xref ref-type="bibr" rid="B13">13</xref>). Nowadays, epigenetic factors are known to be involved in the regulation of drug responses, degenerative disorders, and cancers (<xref ref-type="bibr" rid="B14">14</xref>). Two main mechanisms of epigenetic factors are deoxyribonucleic acid (DNA) methylation and micro-ribonucleic acid (miRNA). DNA methylation is a crucial marker in the regulation of gene expression. Because <italic>CYP2C19</italic> is the predominant isoenzyme in the biotransformation of clopidogrel and the <italic>P2Y12</italic> receptor is the target of clopidogrel, DNA methylation of <italic>CYP2C19</italic> and <italic>P2Y12</italic> may affect the risk of clopidogrel resistance (<xref ref-type="bibr" rid="B15">15</xref>). miRNA-26a expression regulates vasodilator-stimulated phosphoprotein (VASP) expression that controls actin, which plays a role in the mechanism of platelet aggregation (<xref ref-type="bibr" rid="B16">16</xref>). However, there is still limited evidence on the association between genetic and epigenetic factors and clopidogrel resistance. In addition, there are still limited studies that directly show the relationship between genetic and epigenetic factors with clinical outcomes. Because gene polymorphisms are hereditary and irreversible, their profile can be identified before the administration of antiplatelets (<xref ref-type="bibr" rid="B17">17</xref>). Therefore, the objective of this study was to determine the association between genetic and epigenetic factors, such as <italic>CYP2C19</italic> and <italic>P2Y12</italic> polymorphisms, DNA methylation of <italic>CYP2C19</italic> and <italic>P2Y12</italic>, and miRNA-26a expression with clopidogrel resistance, and MACEs among post-PCI patients in a 1-year observation.</p>
</sec>
<sec id="s2">
<title>2. Materials and methods</title>
<sec>
<title>2.1. Study population</title>
<p>This study was conducted between September 2018 and June 2020 at the National Cardiovascular Center Harapan Kita. Subjects were post-PCI patients who had ACS and received clopidogrel therapy, with a minimum sample size of 200 patients determined by the rule-of-thumb equation for 20 independent variables. Included designs were cross-sectional and prospective cohort for the clopidogrel resistance study and the MACE study, respectively. Inclusion criteria included (1) post-PCI patients who had ACS and received clopidogrel 75 mg daily at least 6 h after the loading dose (during hospitalization and later); (2) those taking clopidogrel regularly; and (3) those who had signed informed consent. Exclusion criteria included (1) thrombocytopenia; (2) thrombocytosis; (3) hemolytic, lipemic, or icteric blood samples; and (4) the presence of hemorrhagic manifestations. This study was approved by the Ethics Committee of the National Cardiovascular Center, Harapan Kita Hospital. Subjects were prospectively observed for 1 year through monthly telephonic interviews. Subjects were required to report to the National Cardiovascular Center, Harapan Kita, on a monthly basis after PCI for anamnesis, physical examination, and continuation of clopidogrel medication. Demographic data, cardiovascular risk factors, and laboratory results were obtained. Angina pain, recurrent acute myocardial infarction (AMI), stroke, or death within 1 year were recorded as MACEs. A subject who could not be reached after 1 year of observation was considered a dropout.</p>
</sec>
<sec>
<title>2.2. Blood sample and platelet aggregation test</title>
<p>Approximately 15 ml of venous blood was drawn from subjects. Then, 9 ml of blood was divided into three tubes with sodium citrate for a platelet aggregation test to determine clopidogrel resistance. Blood samples were centrifuged for the platelet aggregation test to obtain platelet-rich plasma (PRP). The agonist ADP 20 &#x003BC;M was added to PRP. Light transmission aggregometry (LTA) using the Agram aggregometer method was used for the platelet aggregation test, where platelet aggregation greater than 59% was defined as clopidogrel-resistant (<xref ref-type="bibr" rid="B20">20</xref>). A within-run accuracy test was performed on the platelet aggregation test. <italic>CYP2C19</italic> and <italic>P2Y12</italic> gene polymorphisms and miRNA-26a expression were evaluated using quantitative real-time polymerase chain reaction (qRT-PCR), and DNA methylation of <italic>CYP2C19</italic> and <italic>P2Y12</italic> genes was assessed using the bisulfite conversion method. The remaining 6 ml of blood were split into two tubes with ethylenediaminetetraacetic acid (EDTA) for the analysis of <italic>CYP2C19</italic> and <italic>P2Y12</italic> polymorphisms, DNA methylation of <italic>CYP2C19</italic> and <italic>P2Y12</italic>, and miRNA-26a expression.</p>
</sec>
<sec>
<title>2.3. Polymorphism assay</title>
<p>Single-nucleotide polymorphism (SNP) of CYP2C19 was identified as CYP2C19<sup>&#x0002A;</sup>2 (G681A; rs4244285) and CYP2C19<sup>&#x0002A;</sup>3 (G636A; rs4986893), while SNP of <italic>P2Y12</italic> was identified as the A57T polymorphism (rs3679479). First, peripheral blood mononuclear cells (PBMCs) were isolated from the blood sample. DNA was obtained by extracting PBMC using the QIAamp DNA mini kit. <italic>CYP2C19</italic> polymorphism assay was performed using the Taqman assay kit (ThermoFisher Scientific). The method used was qRT-PCR. If polymorphisms were identified, a mutant carrier of the <italic>CYP2C19</italic> polymorphism was determined.</p>
</sec>
<sec>
<title>2.4. DNA methylation assay</title>
<p>DNA methylation of <italic>CYP2C19</italic> was found in the gene body, while DNA methylation of <italic>P2Y12</italic> was found in the promoter. 5&#x02032;-cytosine-phosphate-guanine-3&#x02032; (CpG) islands in the <italic>CYP2C19</italic> gene body and its primer design were identified using Methyl Primer Express and Refseq CYP2C19 software; three CpG islands were found. The P2Y12 primer was designed according to Li et al. (<xref ref-type="bibr" rid="B19">19</xref>) (<xref ref-type="table" rid="T1">Table 1</xref>). First, bisulfite conversion of DNA using EpiTech Bisulfite kits resulted in the deamination of unmethylated cytosines to uracils without changing methylated cytosines. Following that, qRT-PCR and high-resolution melting (HRM) analyses were performed. Then, the percentage of DNA methylation was obtained. Hypermethylation and hypomethylation of <italic>CYP2C19</italic> were defined as methylation levels greater and less than 50%, respectively.</p>
<table-wrap position="float" id="T1">
<label>Table 1</label>
<caption><p>Primer design.</p></caption>
<table frame="box" rules="all">
<thead><tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Gene</bold></th>
<th valign="top" align="left"><bold>Group</bold></th>
<th valign="top" align="left"><bold>Primer Sequence</bold></th>
</tr>
</thead>
<tbody>
<tr>
<td valign="top" align="left"><italic>CYP2C19</italic></td>
<td valign="top" align="left">Forward</td>
<td valign="top" align="left">5&#x02032; TTAGTGAGATTTCGTGGGC 3&#x02032;</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Reverse</td>
<td valign="top" align="left">5&#x02032; ATACGTACACCCTACGAAAACC 3&#x02032;</td>
</tr>
<tr>
<td valign="top" align="left"><italic>P2Y12</italic></td>
<td valign="top" align="left">Forward</td>
<td valign="top" align="left">5&#x02032;-TATTTGGAATTTATTTGGATGTGTG-3&#x02032;</td>
</tr>
<tr>
<td/>
<td valign="top" align="left">Reverse</td>
<td valign="top" align="left">5&#x02032;-AATTCAAAACCAACCTAACCAAAAT-3&#x02032;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>5&#x02032;-cytosisne-phosphate-guanine-3&#x02032; (CpG) islands in the <italic>CYP2C19</italic> gene body and its primer design were determined using Methyl Primer Express and Refseq CYP2C19 software; three CpG islands were found, and the <italic>P2Y12</italic> primer was designed according to Li et al. (<xref ref-type="bibr" rid="B19">19</xref>).</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>2.5. miRNA-26a expression assay</title>
<p>The first step in the miRNA-26a expression assay was miRNA isolation using the miRNeasy Mini kit Qiagen. Isolated miRNA was converted into complementary DNA (cDNA) using TaqMan miRNA reverse transcription. Then, cDNA qRT-PCR was performed. The analysis of miRNA-26a expression was determined by comparing its &#x00394;&#x00394;CT and positive control. miRNA-26a upregulation and downregulation were defined as high and low positive controls, respectively.</p>
</sec>
<sec>
<title>2.6. Statistical analysis</title>
<p>IBM SPSS Statistics 22.0 was used for statistical analysis. The chi-square or Fisher&#x00027;s exact test was used in a bivariate analysis between several factors and clopidogrel resistance. Logistic regression was used in a multivariate analysis of factors that contributed to clopidogrel resistance. A Cox regression was used in bivariate and multivariate analyses to find the association between several factors and MACEs in 1 year. Statistical significance was defined as a <italic>p-</italic>value of &#x0003C;0.05.</p>
</sec>
</sec>
<sec id="s3">
<title>3. Results</title>
<sec>
<title>3.1. Characteristics of subjects</title>
<p>Between September 2018 and June 2020, a total of 201 patients were included. Clopidogrel resistance was found in 49.8% of patients. Baseline characteristics of the subjects are presented in <xref ref-type="table" rid="T2">Table 2</xref> (overall and based on genetic factors), and laboratory parameters are presented in <xref ref-type="table" rid="T3">Table 3</xref>. Based on genetic and epigenetic factors, 45.8% were mutant carriers of CYP2C19<sup>&#x0002A;</sup>2/<sup>&#x0002A;</sup>3, 36.8% were mutant carriers of the <italic>P2Y12</italic> polymorphism, 80.1% had hypomethylation of <italic>CYP2C19</italic>, 10% had hypomethylation of <italic>P2Y12</italic>, and 66.2% had miRNA-26a upregulation. A within-run accuracy test of platelet aggregation found that the coefficient of variance (CV) in the clopidogrel resistance group and the non-clopidogrel resistance group was 2.02 and 7.45%, respectively. After 1 year of observation, 30 subjects (14.9%) developed MACEs; with deaths (7.5%) being the most frequent MACEs.</p>
<table-wrap position="float" id="T2">
<label>Table 2</label>
<caption><p>Subjects&#x00027; characteristics.</p></caption>
<table frame="box" rules="all">
<thead><tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left" rowspan="2"><bold>Variables</bold></th>
<th valign="top" align="center" colspan="5"><italic><bold>n</bold></italic> <bold>(%)</bold></th>
</tr>
<tr style="background-color:#919498;color:#ffffff">
<td valign="top" align="center"><bold>Overall</bold></td>
<td valign="top" align="center"><bold>CYP2C19 mutant carrier</bold></td>
<td valign="top" align="center"><bold>CYP2C19 wildtype</bold></td>
<td valign="top" align="center"><bold>P2Y12 mutant carrier</bold></td>
<td valign="top" align="center"><bold>P2Y12 wildtype</bold></td>
</tr>
</thead>
<tbody>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="6"><bold>Demographic factors (</bold><italic><bold>n</bold> =</italic> <bold>201)</bold><break/><bold>Sex</bold></td>
</tr>
<tr>
<td valign="top" align="left">Male</td>
<td valign="top" align="center">186 (92.5)</td>
<td valign="top" align="center">86 (46.2)</td>
<td valign="top" align="center">100 (53.8)</td>
<td valign="top" align="center">70 (37.6)</td>
<td valign="top" align="center">116 (62.4)</td>
</tr>
<tr>
<td valign="top" align="left">Female</td>
<td valign="top" align="center">15 (7.5)</td>
<td valign="top" align="center">6 (40)</td>
<td valign="top" align="center">9 (60)</td>
<td valign="top" align="center">4 (26.7)</td>
<td valign="top" align="center">11 (73.3)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="6"><bold>Age, y</bold></td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="6"><bold>Age group</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;60 y</td>
<td valign="top" align="center">54 (26.9)</td>
<td valign="top" align="center">28 (51.9)</td>
<td valign="top" align="center">26 (48.1)</td>
<td valign="top" align="center">18 (33.3)</td>
<td valign="top" align="center">36 (66.7)</td>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;60 y</td>
<td valign="top" align="center">147 (73.1)</td>
<td valign="top" align="center">64 (43.5)</td>
<td valign="top" align="center">83 (56.5)</td>
<td valign="top" align="center">56 (38.1)</td>
<td valign="top" align="center">91 (61.9)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="6"><bold>Nutritional status</bold></td>
</tr>
<tr>
<td valign="top" align="left">Obese</td>
<td valign="top" align="center">108 (53.7)</td>
<td valign="top" align="center">51 (47.2)</td>
<td valign="top" align="center">57 (52.8)</td>
<td valign="top" align="center">41 (38)</td>
<td valign="top" align="center">67 (62)</td>
</tr>
<tr>
<td valign="top" align="left">Overweight</td>
<td valign="top" align="center">43 (21.4)</td>
<td valign="top" align="center">18 (41.9)</td>
<td valign="top" align="center">25 (58.1)</td>
<td valign="top" align="center">13 (30.2)</td>
<td valign="top" align="center">30 (69.8)</td>
</tr>
<tr>
<td valign="top" align="left">Normoweight</td>
<td valign="top" align="center">50 (24.9)</td>
<td valign="top" align="center">23 (46)</td>
<td valign="top" align="center">27 (54)</td>
<td valign="top" align="center">20 (40)</td>
<td valign="top" align="center">60 (30)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="6"><bold>Cardiovascular risk factors (</bold><italic><bold>n</bold> =</italic> <bold>201)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hypertension</td>
<td valign="top" align="center">187 (93,0)</td>
<td valign="top" align="center">84 (44.9)</td>
<td valign="top" align="center">103 (55.1)</td>
<td valign="top" align="center">67 (35.8)</td>
<td valign="top" align="center">120 (64.2)</td>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus</td>
<td valign="top" align="center">79 (39,3)</td>
<td valign="top" align="center">32 (40.5)</td>
<td valign="top" align="center">47 (59.5)</td>
<td valign="top" align="center">34 (43)</td>
<td valign="top" align="center">45 (57)</td>
</tr>
<tr>
<td valign="top" align="left">Family history</td>
<td valign="top" align="center">25 (12,4)</td>
<td valign="top" align="center">11 (44)</td>
<td valign="top" align="center">14 (56)</td>
<td valign="top" align="center">7 (28)</td>
<td valign="top" align="center">18 (72)</td>
</tr>
<tr>
<td valign="top" align="left">Smoking</td>
<td valign="top" align="center">136 (67,7)</td>
<td valign="top" align="center">58 (42.6)</td>
<td valign="top" align="center">78 (57.4)</td>
<td valign="top" align="center">52 (38.2)</td>
<td valign="top" align="center">84 (61.8)</td>
</tr>
<tr>
<td valign="top" align="left">Dyslipidemia</td>
<td valign="top" align="center">48 (23,9)</td>
<td valign="top" align="center">24 (50)</td>
<td valign="top" align="center">24 (50)</td>
<td valign="top" align="center">23 (47.9)</td>
<td valign="top" align="center">25 (52.1)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left"><bold>MACEs (</bold><italic><bold>n</bold> =</italic> <bold>201)</bold></td>
<td valign="top" align="center"><bold>30 (14.9)</bold></td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Angina pectoris</td>
<td valign="top" align="center">7 (3.5)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Recurrent AMI</td>
<td valign="top" align="center">7 (3.5)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Stroke</td>
<td valign="top" align="center">1 (0.5)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Death</td>
<td valign="top" align="center">15 (7.5)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>AMI, acute myocardial infarction; MACEs, major adverse cardiovascular events.</p>
</table-wrap-foot>
</table-wrap>
<table-wrap position="float" id="T3">
<label>Table 3</label>
<caption><p>Laboratory parameters.</p></caption>
<table frame="box" rules="all">
<thead><tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold><italic>n</italic> (%)</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="2"><bold>Laboratory value (</bold><italic><bold>n</bold> =</italic> <bold>201)</bold><break/><bold>Total cholesterol</bold></td>
<td/>
</tr>
<tr>
<td valign="top" align="left">High</td>
<td valign="top" align="center">33 (16.4)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">168 (83.6)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="2"><bold>HDL</bold></td>
</tr>
<tr>
<td valign="top" align="left">Low</td>
<td valign="top" align="center">183 (91.0)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">18 (9.0)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="2"><bold>LDL</bold></td>
</tr>
<tr>
<td valign="top" align="left">High</td>
<td valign="top" align="center">132 (65.7)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">69 (34.3)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="2"><bold>Triglyceride</bold></td>
</tr>
<tr>
<td valign="top" align="left">High</td>
<td valign="top" align="center">50 (24.9)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">151 (75.1)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="2"><bold>Hemoglobin</bold></td>
</tr>
<tr>
<td valign="top" align="left">Low</td>
<td valign="top" align="center">31 (15.4)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">170 (84.6)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="2"><bold>Leukocyte</bold></td>
</tr>
<tr>
<td valign="top" align="left">High</td>
<td valign="top" align="center">171 (85.1)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">30 (14.9)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="2"><bold>eGFR</bold></td>
</tr>
<tr>
<td valign="top" align="left">Low</td>
<td valign="top" align="center">37 (18.4)</td>
</tr>
<tr>
<td valign="top" align="left">Normal</td>
<td valign="top" align="center">164 (81.6)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="2"><bold>Genetic factors (</bold><italic><bold>n</bold> =</italic> <bold>201)</bold><break/><bold>CYP2C19</bold><sup>&#x0002A;</sup><bold>2 and CYP2C19</bold><sup>&#x0002A;</sup><bold>3</bold></td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Mutant carrier</td>
<td valign="top" align="center">92 (45.8)</td>
</tr>
<tr>
<td valign="top" align="left">Homozygous wildtype</td>
<td valign="top" align="center">109 (54.2)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="2"><bold>Epigenetic factors (</bold><italic><bold>n</bold> =</italic> <bold>201)</bold><break/><bold>CYP2C19 DNA methylation</bold></td>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hypomethylation</td>
<td valign="top" align="center">161 (80.1)</td>
</tr>
<tr>
<td valign="top" align="left">Hypermethylation</td>
<td valign="top" align="center">40 (19.9)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="2"><bold>P2Y12 DNA methylation</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hypomethylation</td>
<td valign="top" align="center">20 (10.0)</td>
</tr>
<tr>
<td valign="top" align="left">Hypermethylation</td>
<td valign="top" align="center">181 (90.0)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="2"><bold>miRNA-26a expression</bold></td>
</tr>
<tr>
<td valign="top" align="left">Upregulated</td>
<td valign="top" align="center">133 (66.2)</td>
</tr>
<tr>
<td valign="top" align="left">Downregulated</td>
<td valign="top" align="center">68 (33.8)</td>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="2"><bold>Platelet aggregation test (clopidogrel resistance) (</bold><italic><bold>n</bold> =</italic> <bold>201)</bold></td>
</tr>
<tr>
<td valign="top" align="left">&#x02265;59% (resistance)</td>
<td valign="top" align="center">100 (49.8)</td>
</tr>
<tr>
<td valign="top" align="left">&#x0003C;59% (non-resistance)</td>
<td valign="top" align="center">101 (50.2)</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>Based on CYP2C19 polymorphism, 45.8% were mutant carriers of CYP2C19<sup>&#x0002A;</sup>2/<sup>&#x0002A;</sup>3 and clopidogrel resistance proportion was quite high (49.8%). eGFR, estimated glomerular filtration rate; HDL, high-density lipoprotein; LDL, low-density lipoprotein.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>3.2. Association between genetic and epigenetic factors and clopidogrel resistance</title>
<p>As presented in <xref ref-type="table" rid="T4">Table 4</xref>, DNA methylation of CYPC19 and miRNA-26a expression were associated with clopidogrel resistance. Hypomethylation of <italic>CYP2C19</italic> [odds ratio (OR) = 2.13, 95% confidence interval (CI) = 1.04&#x02013;4.37, <italic>p</italic>-value = 0.037] and miRNA-26a upregulation (OR = 2.03, 95%CI = 1.12&#x02013;3.68, <italic>p</italic>-value = 0.020) were associated with an increase in the risk of clopidogrel resistance. However, there was no association between other genetic and epigenetic factors and clopidogrel resistance. Logistic regression analysis was performed to identify clinical factors, laboratory parameters, and genetic and epigenetic factors. From the logistic regression analysis, DNA methylation of <italic>CYP2C19</italic> and miRNA-26a expression were found to be independent factors of clopidogrel resistance</p>
<table-wrap position="float" id="T4">
<label>Table 4</label>
<caption><p>The association between several factors and clopidogrel resistance.</p></caption>
<table frame="box" rules="all">
<thead><tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>LTA &#x02265;59% (Clopidogrel resistance) (<italic>n =</italic> 100)</bold></th>
<th valign="top" align="center"><bold>LTA &#x0003C;59% (Clopidogrel non- resistance) (<italic>n =</italic> 101)</bold></th>
<th valign="top" align="center"><bold>OR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>Adjusted OR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="7"><bold>Demographic factors</bold></td>
</tr>
<tr>
<td valign="top" align="left">Male, <italic>n</italic> (%)</td>
<td valign="top" align="center">91 (49.9)</td>
<td valign="top" align="center">95 (51.1)</td>
<td valign="top" align="center">1.57 (0.54&#x02013;4.58)</td>
<td valign="top" align="center">0.409</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age &#x02265; 60 y, <italic>n</italic> (%)</td>
<td valign="top" align="center">30 (55.6)</td>
<td valign="top" align="center">24 (44.4)</td>
<td valign="top" align="center">1.38 (0.74&#x02013;2.57)</td>
<td valign="top" align="center">0.319</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Obese, <italic>n</italic> (%)</td>
<td valign="top" align="center">58 (53.7)</td>
<td valign="top" align="center">50 (46.3)</td>
<td valign="top" align="center">1.12 (0.80&#x02013;1.57)</td>
<td valign="top" align="center">0.553</td>
<td/>
<td/>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="7"><bold>Cardiovascular risk factors</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hypertension, <italic>n</italic> (%)</td>
<td valign="top" align="center">93 (49.7)</td>
<td valign="top" align="center">94 (50.3)</td>
<td valign="top" align="center">0.99 (0.33&#x02013;2.93)</td>
<td valign="top" align="center">0.985</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus, <italic>n</italic> (%)</td>
<td valign="top" align="center">41 (51.9)</td>
<td valign="top" align="center">38 (48.1)</td>
<td valign="top" align="center">1.15 (0.65&#x02013;2.03)</td>
<td valign="top" align="center">0.624</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Family history, <italic>n</italic> (%)</td>
<td valign="top" align="center">14 (56.0)</td>
<td valign="top" align="center">11 (44.0)</td>
<td valign="top" align="center">1.33 (0.57-3.10)</td>
<td valign="top" align="center">0.504</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Smoking, <italic>n</italic> (%)</td>
<td valign="top" align="center">57 (41.9)</td>
<td valign="top" align="center">79 (58.1)</td>
<td valign="top" align="center">0.37 (0.20&#x02013;0.68)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">0.36 (0.19&#x02013;0.67)</td>
<td valign="top" align="center">0.001</td>
</tr>
<tr>
<td valign="top" align="left">Dyslipidemia, <italic>n</italic> (%)</td>
<td valign="top" align="center">28 (58.3)</td>
<td valign="top" align="center">20 (41.7)</td>
<td valign="top" align="center">1.58 (0.82&#x02013;3.03)</td>
<td valign="top" align="center">0.173</td>
<td/>
<td/>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="7"><bold>Laboratory parameters</bold></td>
</tr>
<tr>
<td valign="top" align="left">High total cholesterol, <italic>n</italic> (%)</td>
<td valign="top" align="center">18 (54.5)</td>
<td valign="top" align="center">15 (45.5)</td>
<td valign="top" align="center">1.26 (0.60&#x02013;2.66)</td>
<td valign="top" align="center">0.547</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Low HDL, <italic>n</italic> (%)</td>
<td valign="top" align="center">89 (48.6)</td>
<td valign="top" align="center">94 (51.4)</td>
<td valign="top" align="center">0.60 (0.22&#x02013;1.62)</td>
<td valign="top" align="center">0.312</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">High LDL, <italic>n</italic> (%)</td>
<td valign="top" align="center">64 (48.5)</td>
<td valign="top" align="center">68 (51.5)</td>
<td valign="top" align="center">0.86 (0.48&#x02013;1.55)</td>
<td valign="top" align="center">0.619</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">High triglyceride, <italic>n</italic> (%)</td>
<td valign="top" align="center">28 (56.0)</td>
<td valign="top" align="center">22 (44.0)</td>
<td valign="top" align="center">1.40 (0.73&#x02013;2.66)</td>
<td valign="top" align="center">0.308</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Low hemoglobin, <italic>n</italic> (%)</td>
<td valign="top" align="center">19 (61.3)</td>
<td valign="top" align="center">12 (38.7)</td>
<td valign="top" align="center">1.74 (0.80&#x02013;3.81)</td>
<td valign="top" align="center">0.162</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">High leukocyte, <italic>n</italic> (%)</td>
<td valign="top" align="center">87 (50.9)</td>
<td valign="top" align="center">84 (49.1)</td>
<td valign="top" align="center">1.35 (0.62&#x02013;2.96)</td>
<td valign="top" align="center">0.446</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Low eGFR, <italic>n</italic> (%)</td>
<td valign="top" align="center">23 (62.2)</td>
<td valign="top" align="center">14 (37.8)</td>
<td valign="top" align="center">1.86 (0.89&#x02013;3.86)</td>
<td valign="top" align="center">0.095</td>
<td/>
<td/>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="7"><bold>CYP2C19 polymorphism</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hetero/homozygous <sup>&#x0002A;</sup>2 and/or <sup>&#x0002A;</sup>3</td>
<td valign="top" align="center">51 (55.4)</td>
<td valign="top" align="center">41 (44.6)</td>
<td valign="top" align="center">1.52 (0.87&#x02013;2.66)</td>
<td valign="top" align="center">0.139</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Homozygous wildtype</td>
<td valign="top" align="center">49 (45,0)</td>
<td valign="top" align="center">60 (55,0)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="7"><bold>CYP2C19 DNA methylation</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hypomethylation</td>
<td valign="top" align="center">86 (46.6)</td>
<td valign="top" align="center">75 (53.4)</td>
<td valign="top" align="center">2.13 (1.04&#x02013;4.37)</td>
<td valign="top" align="center">0.037</td>
<td valign="top" align="center">2.14 (1.01&#x02013;4.55)</td>
<td valign="top" align="center">0.048</td>
</tr>
<tr>
<td valign="top" align="left">Hypermethylation</td>
<td valign="top" align="center">14 (35.0)</td>
<td valign="top" align="center">26 (65.0)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="7"><bold>P2Y12 DNA methylation</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hypomethylation</td>
<td valign="top" align="center">12 (60.0)</td>
<td valign="top" align="center">8 (40.0)</td>
<td valign="top" align="center">1.59 (0.62&#x02013;4.06)</td>
<td valign="top" align="center">0.334</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Hypermethylation</td>
<td valign="top" align="center">88 (48.6)</td>
<td valign="top" align="center">93 (51.4)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="7"><bold>miRNA-26a expression</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Upregulated</td>
<td valign="top" align="center">74 (55.6)</td>
<td valign="top" align="center">59 (44.4)</td>
<td valign="top" align="center">2.03 (1.12&#x02013;3.68)</td>
<td valign="top" align="center">0.020</td>
<td valign="top" align="center">2.10 (1.13&#x02013;3.92)</td>
<td valign="top" align="center">0.020</td>
</tr>
<tr>
<td valign="top" align="left">Upregulated</td>
<td valign="top" align="center">26 (38.2)</td>
<td valign="top" align="center">42 (61.8)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>eGFR, estimated glomerular filtration rate; HDL, high-density lipoprotein; LDL, low-density lipoprotein; MACEs, major adverse cardiovascular events; OR, odds ratio.</p>
</table-wrap-foot>
</table-wrap>
</sec>
<sec>
<title>3.3. Association between genetic and epigenetic factors and MACEs</title>
<p>As shown in <xref ref-type="table" rid="T5">Table 5</xref>, the <italic>CYP2C19</italic> polymorphism was associated with MACEs in 1 year. The mutant carrier of CYP2C19<sup>&#x0002A;</sup>2/<sup>&#x0002A;</sup>3 [hazard ratio (HR) = 2.12, 95%CI = 1.01&#x02013;4.46, <italic>p</italic>-value = 0.047] was associated with an increase in MACEs in 1 year. However, there was no association between other genetic and epigenetic factors and MACEs. Gender and age were associated with MACEs in 1 year. Instead of the male gender, the female gender was associated with an increased risk of MACEs (HR = 2.73, 95%CI = 1.05&#x02013;7.14, <italic>p</italic>-value = 0.040). Age over 60 was also associated with an increased risk of MACEs (HR = 2.17, 95%CI = 1.06&#x02013;4.48, <italic>p</italic>-value = 0.035). The laboratory parameter associated with MACEs was the estimated glomerular filtration rate (eGFR). A low eGFR was associated with an increased risk of MACEs (HR = 3.29, 95%CI = 1.59&#x02013;6.84, <italic>p</italic>-value = 0.001). However, gender and age were not the factors that predicted MACEs in multivariate analysis. Although leukocytes were not associated with MACEs in bivariate analysis, the predictors of MACEs based on multivariate analysis were highly leukocytes, eGFR, and the <italic>CYP2C19</italic> polymorphism. <xref ref-type="fig" rid="F1">Figure 1</xref> shows a mutant carrier of CYP2C19<sup>&#x0002A;</sup>2/<sup>&#x0002A;</sup>3 that develops MACEs faster than the wildtype in a 1-year observation.</p>
<table-wrap position="float" id="T5">
<label>Table 5</label>
<caption><p>The association between several factors and MACEs in 1 year.</p></caption>
<table frame="box" rules="all">
<thead><tr style="background-color:#919498;color:#ffffff">
<th valign="top" align="left"><bold>Variables</bold></th>
<th valign="top" align="center"><bold>MACEs</bold><break/><bold>(<italic>n =</italic> 30)</bold></th>
<th valign="top" align="center"><bold>Non-MACEs (<italic>n =</italic> 171)</bold></th>
<th valign="top" align="center"><bold>HR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
<th valign="top" align="center"><bold>Adjusted HR (95% CI)</bold></th>
<th valign="top" align="center"><bold><italic>P</italic>-value</bold></th>
</tr>
</thead>
<tbody>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="7"><bold>Demographic Factors</bold></td>
</tr>
<tr>
<td valign="top" align="left">Female, <italic>n</italic> (%)</td>
<td valign="top" align="center">5 (33.3)</td>
<td valign="top" align="center">10 (66.7)</td>
<td valign="top" align="center">2.73 (1.05&#x02013;7.14)</td>
<td valign="top" align="center">0.040</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Age &#x02265; 60 y, <italic>n</italic> (%)</td>
<td valign="top" align="center">13 (24.1)</td>
<td valign="top" align="center">41 (75.9)</td>
<td valign="top" align="center">2.17 (1.06&#x02013;4.48)</td>
<td valign="top" align="center">0.035</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Obese, <italic>n</italic> (%)</td>
<td valign="top" align="center">17 (15.7)</td>
<td valign="top" align="center">91 (84.3)</td>
<td valign="top" align="center">0.92 (0.60&#x02013;1.40)</td>
<td valign="top" align="center">0.692</td>
<td/>
<td/>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="7"><bold>Cardiovascular risk factors</bold></td>
</tr>
<tr>
<td valign="top" align="left">Hypertension, <italic>n</italic> (%)</td>
<td valign="top" align="center">29 (15.5)</td>
<td valign="top" align="center">158 (84.5)</td>
<td valign="top" align="center">2.19 (0.30&#x02013;16.09)</td>
<td valign="top" align="center">0.440</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Diabetes mellitus, <italic>n</italic> (%)</td>
<td valign="top" align="center">12 (15.2)</td>
<td valign="top" align="center">67 (84.8)</td>
<td valign="top" align="center">1.05 (0.51&#x02013;2.18)</td>
<td valign="top" align="center">0.895</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Smoking, <italic>n</italic> (%)</td>
<td valign="top" align="center">17 (12.5)</td>
<td valign="top" align="center">119 (87.5)</td>
<td valign="top" align="center">0.61 (0.30&#x02013;1.25)</td>
<td valign="top" align="center">0.176</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Family history, <italic>n</italic> (%)</td>
<td valign="top" align="center">4 (16.0)</td>
<td valign="top" align="center">21 (84.0)</td>
<td valign="top" align="center">1.09 (0.38&#x02013;23.11)</td>
<td valign="top" align="center">0.878</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Dyslipidemia, <italic>n</italic> (%)</td>
<td valign="top" align="center">5 (10.4)</td>
<td valign="top" align="center">43 (89.6)</td>
<td valign="top" align="center">0.62 (0.24&#x02013;1.62)</td>
<td valign="top" align="center">0.331</td>
<td/>
<td/>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="7"><bold>Laboratory parameters</bold></td>
</tr>
<tr>
<td valign="top" align="left">High total cholesterol, <italic>n</italic> (%)</td>
<td valign="top" align="center">4 (12.1)</td>
<td valign="top" align="center">29 (87.9)</td>
<td valign="top" align="center">0.78 (0.27&#x02013;2.22)</td>
<td valign="top" align="center">0.637</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Low HDL, <italic>n</italic> (%)</td>
<td valign="top" align="center">29 (15.8)</td>
<td valign="top" align="center">154 (84.2)</td>
<td valign="top" align="center">2.91 (0.40&#x02013;21.38)</td>
<td valign="top" align="center">0.293</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">High LDL, <italic>n</italic> (%)</td>
<td valign="top" align="center">20 (15.2)</td>
<td valign="top" align="center">112 (84.8)</td>
<td valign="top" align="center">1.07 (0.50&#x02013;2.28)</td>
<td valign="top" align="center">0.871</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">High triglyceride, <italic>n</italic> (%)</td>
<td valign="top" align="center">10 (20.0)</td>
<td valign="top" align="center">40 (80.0)</td>
<td valign="top" align="center">1.57 (0.74&#x02013;3.36)</td>
<td valign="top" align="center">0.244</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">Low hemoglobin, <italic>n</italic> (%)</td>
<td valign="top" align="center">5 (16.1)</td>
<td valign="top" align="center">26 (83.9)</td>
<td valign="top" align="center">1.13 (0.43&#x02013;2.95)</td>
<td valign="top" align="center">0.803</td>
<td/>
<td/>
</tr>
<tr>
<td valign="top" align="left">High leukocyte, <italic>n</italic> (%)</td>
<td valign="top" align="center">29 (17.0)</td>
<td valign="top" align="center">142 (83.0)</td>
<td valign="top" align="center">5.37 (0.73&#x02013;39.43)</td>
<td valign="top" align="center">0.098</td>
<td valign="top" align="center">7.59 (1.03&#x02013;56.10)</td>
<td valign="top" align="center">0.047</td>
</tr>
<tr>
<td valign="top" align="left">Low eGFR, <italic>n</italic> (%)</td>
<td valign="top" align="center">12 (32.4)</td>
<td valign="top" align="center">25 (67.6)</td>
<td valign="top" align="center">3.29 (1.59&#x02013;6.84)</td>
<td valign="top" align="center">0.001</td>
<td valign="top" align="center">4.05 (1.94&#x02013;8.46)</td>
<td valign="top" align="center">0.000</td>
</tr>
<tr>
<td valign="top" align="left">Platelet aggregation test (clopidogrel<break/> resistance), <italic>n</italic> (%)</td>
<td valign="top" align="center">19 (19.0)</td>
<td valign="top" align="center">81 (81.0)</td>
<td valign="top" align="center">1.80 (0.86&#x02013;3.78)</td>
<td valign="top" align="center">0.121</td>
<td/>
<td/>
</tr>
<tr style="background-color:#e0e1e2">
<td valign="top" align="left" colspan="7"><bold>CYP2C19</bold><sup>&#x0002A;</sup><bold>2 and CYP2C19</bold><sup>&#x0002A;</sup><bold>3</bold>, <italic><bold>n</bold></italic> <bold>(%)</bold></td>
</tr>
<tr>
<td valign="top" align="left">Mutant carrier</td>
<td valign="top" align="center">19 (20.7)</td>
<td valign="top" align="center">73 (79.3)</td>
<td valign="top" align="center">2.12 (1.01&#x02013;4.46)</td>
<td valign="top" align="center">0.047</td>
<td valign="top" align="center">2.60 (1.23&#x02013;5.49)</td>
<td valign="top" align="center">0.012</td>
</tr>
<tr>
<td valign="top" align="left">Homozygous wildtype</td>
<td valign="top" align="center">11 (10.1)</td>
<td valign="top" align="center">98 (89.9)</td>
<td/>
<td/>
<td/>
<td/>
</tr>
</tbody>
</table>
<table-wrap-foot>
<p>eGFR, estimated glomerular filtration rate; HDL, high-density lipoprotein; HR, hazard ratio; LDL, low-density lipoprotein; MACEs, major adverse cardiovascular events.</p>
</table-wrap-foot>
</table-wrap>
<fig id="F1" position="float">
<label>Figure 1</label>
<caption><p>Kaplan-Meier curves of MACE in 1 year according to CYP2C19&#x0002A;2 and CYP2C19&#x0002A;3 polymorphisms. Mutant carrier of CYP2C19&#x0002A;2/&#x0002A;3 polymorphism resulted in developing MACE faster than wild type in 1 year of observation (HR = 2.12, 95%CI = 1.01&#x02013;4.46, <italic>P</italic>-value = 0.047). MACE, major adverse cardiovascular events.</p></caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcvm-09-1027892-g0001.tif"/>
</fig>
</sec>
</sec>
<sec id="s4">
<title>4. Discussion</title>
<sec>
<title>4.1. Association between several factors and clopidogrel resistance</title>
<p>In this study, men, obese patients, people with hypertension, smokers, and patients with low high-density lipoprotein (HDL) and high low-density lipoprotein (LDL) levels all had a higher risk of developing ACS (<xref ref-type="bibr" rid="B21">21</xref>). Our study showed a quite high proportion of CYP2C19<sup>&#x0002A;</sup>2/<sup>&#x0002A;</sup>3 mutant carriers. Collet et al. (<xref ref-type="bibr" rid="B22">22</xref>) (28%) and Amin et al. (<xref ref-type="bibr" rid="B23">23</xref>) (66.3%) found different proportions of CYP2C19<sup>&#x0002A;</sup>2 and CYP2C19<sup>&#x0002A;</sup>3 polymorphisms. According to a study by Sukmawan et al. (<xref ref-type="bibr" rid="B24">24</xref>), 11.5% of the subjects had methylation levels &#x0003C;50%. Almost all subjects had <italic>CYP2C19</italic> hypomethylation (80.1%), but only some had <italic>P2Y12</italic> hypomethylation (10%). In this study, the demographic, environmental, and diet factors of subjects could cause a higher proportion of <italic>CYP2C19</italic> hypomethylation (<xref ref-type="bibr" rid="B25">25</xref>). According to a study by Chen et al. (<xref ref-type="bibr" rid="B16">16</xref>), miRNA-26a expression was upregulated in 60.4% of subjects. Our study found that 49.8% of patients had clopidogrel resistance. Its proportion was higher in some European studies but still corresponded to clinical studies in Asia, which ranged from 20 to 65% (<xref ref-type="bibr" rid="B8">8</xref>).</p>
<p>In this study, the risk of clopidogrel resistance was lower in smokers than in non-smokers. Some studies found that the smoking habit gave an advantage known as the smoker&#x00027;s paradox (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). A CAPRIE <italic>post-hoc</italic> study by Ferreiro et al. (<xref ref-type="bibr" rid="B26">26</xref>) found a decrease in the incidence of ischemia among smokers treated with clopidogrel compared to non-smokers (HR = 0.76, 95%CI = 0.64&#x02013;0.90). <italic>CYP2C19</italic> and <italic>CYP3A4</italic> were the predominant enzymes in the biotransformation of clopidogrel. However, other isoenzymes, such as <italic>CYP1A2</italic> and <italic>CYP2B6</italic>, also contribute. Cigarette smoking is a potent inducer of <italic>CYP1A2</italic> (10% of CYP isoenzymes in the liver) and <italic>CYP2B6</italic> isoenzymes, which are involved in the first oxidative and final stages of the biotransformation of clopidogrel and increase the amount of its active metabolite (<xref ref-type="bibr" rid="B26">26</xref>, <xref ref-type="bibr" rid="B27">27</xref>). However, it is not recommended that post-PCI patients continue smoking due to the progression of atherosclerosis, an increase in inflammatory markers, an increased risk of death, and an increased incidence of MACEs (<xref ref-type="bibr" rid="B28">28</xref>).</p>
<p>This study showed that hypomethylation of the <italic>CYP2C19</italic> gene body increased the risk of clopidogrel resistance. This finding corresponded with a study by Sukmawan et al. (<xref ref-type="bibr" rid="B24">24</xref>) that <italic>CYP2C19</italic> with methylation &#x0003C;50% had a higher risk of clopidogrel resistance than &#x02265;50% methylated (OR = 3.1, 95%CI = 1.9&#x02013;6.9, <italic>p</italic>-value = 0.03). DNA methylation of a gene occurs at CpG in the gene body (intragenic) or a promotor. The methylation of CpG in the promotor inhibits gene expression. There are several mechanisms by which DNA methylation can decrease gene expression. Methylation silences repetitive DNA elements, inhibiting gene transcription. Methylation can also inhibit transcription from the internal promoter. Post-transcriptional regulation can also be induced by DNA methylation, for example, alternative messenger RNA (mRNA) splicing (<xref ref-type="bibr" rid="B29">29</xref>). However, in the gene body, methylated CpG activates its expression. This phenomenon is known as the methylation paradox (<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B30">30</xref>). Previous studies revealed that the CpG island (CGI) of <italic>CYP2C19</italic> is located in the gene body (<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B31">31</xref>). The expression of <italic>CYP2C19</italic> will increase if it is hypermethylated, and the expression will decrease if it is hypomethylated. Reduced <italic>CYP2C19</italic> expression results in a decreased active metabolite of clopidogrel, which leads to clopidogrel resistance.</p>
<p>There was an association between miRNA-26a upregulation and clopidogrel resistance. This finding was consistent with the findings of Syam et al. (<xref ref-type="bibr" rid="B32">32</xref>) who showed that high miRNA-26a expression was associated with decreased inhibition of platelets by clopidogrel (OR = 4.2, <italic>p</italic>-value &#x0003C; 0.01). Chen et al. (<xref ref-type="bibr" rid="B16">16</xref>) found a similar result, in which platelet miRNA-26a, miRNA-199, and miRNA-23a expression was associated with clopidogrel resistance. Platelet miRNA-26a expression was associated with an increased risk of clopidogrel resistance among post-PCI patients (<xref ref-type="bibr" rid="B16">16</xref>). miRNAs are small non-coding RNAs that regulate gene expression by interfering with transcription or translation, thereby participating in the biological signaling pathway. miRNAs are stably present in plasma, platelets, erythrocytes, nucleated blood cells, and urine and are degraded by endogenous RNA polymerase (<xref ref-type="bibr" rid="B33">33</xref>). Platelet miRNA-26a expression has been shown to regulate platelet aggregation. Increased miRNA-26a expression contributes to increased VASP gene transcription. Bioinformatic analysis of the 3&#x02032;-UTR region of VASP mRNA showed that miRNA-26a had a target on VASP mRNA. The western blotting results showed that the level of VASP protein and mRNA expression in platelets was significantly increased in clopidogrel resistance. VASP expression is a marker of ADP receptor activity. The active metabolite of clopidogrel blocks the ADP P2Y12 receptor, which lessens the inhibition of cyclic adenosine monophosphate- (cAMP-) dependent phosphorylation on VASP protein. High levels of VASP expression causes the protein to become more dephosphorylated, thereby triggering platelet aggregation (<xref ref-type="bibr" rid="B16">16</xref>).</p>
<p>CYP2C19<sup>&#x0002A;</sup>2/<sup>&#x0002A;</sup>3 causes the loss-of-function allele, which increases the risk of clopidogrel resistance. Clopidogrel is metabolized into active metabolites by various cytochromes in the liver, one of which is <italic>CYP2C19</italic>, which acts on two oxidative stages. <italic>CYP2C19</italic> is mainly influenced by the CYP2C19<sup>&#x0002A;</sup>2 polymorphism in exon 5, which results in protein aberrant splicing. A decrease in <italic>CYP2C19</italic> enzymatic activity causes a decrease in clopidogrel active metabolites, reducing the pharmacodynamic response (<xref ref-type="bibr" rid="B34">34</xref>). The CYP2C19<sup>&#x0002A;</sup>3 polymorphism is characterized by a point mutation in exon 4, resulting in a premature stop codon, rendering the protein formed non-functional (<xref ref-type="bibr" rid="B35">35</xref>). Su et al. (<xref ref-type="bibr" rid="B36">36</xref>) found an association between CYP2C19<sup>&#x0002A;</sup>2/<sup>&#x0002A;</sup>3 polymorphisms and an increased risk of clopidogrel resistance. The platelet aggregation method also uses a 20 &#x003BC;M ADP agonist, but the definition of clopidogrel resistance is different. Amin et al. (<xref ref-type="bibr" rid="B23">23</xref>) also showed that CYP2C19<sup>&#x0002A;</sup>2/<sup>&#x0002A;</sup>3 polymorphisms were associated with an increased risk of clopidogrel resistance when compared to the wild type.</p>
<p>The <italic>P2Y12</italic> gene encodes the ADP receptor on platelets so that the polymorphism of this gene may regulate platelet aggregation. The A57T (rs3679479) <italic>P2Y12</italic> polymorphism has never been associated with clopidogrel resistance. The <italic>P2Y12</italic> polymorphisms studied are C34T, G52T, and T744C. The A57T polymorphism is located in the intron of the <italic>P2Y12</italic> gene on chromosome 3, like the T744C polymorphism. Even though the location of the polymorphism is in the intron (not the part of the gene that is expressed), theory shows that the intron of a gene regulates transcription speed, chromatin modification, gene looping, mRNA stability, efficiency of mRNA translation, and regulation of splicing so that it modulates the expression of the <italic>P2Y12</italic> gene (<xref ref-type="bibr" rid="B37">37</xref>). According to a meta-analysis by Cui et al. (<xref ref-type="bibr" rid="B38">38</xref>), it was found that C34T and G52T polymorphisms of the <italic>P2Y12</italic> gene were associated with an increase in clopidogrel resistance. However, the T744C polymorphism did not give significant results. The T744C polymorphism also showed no association with clopidogrel resistance in studies in India and the USA (<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B39">39</xref>).</p>
<p>In this study, <italic>CYP2C19</italic> and <italic>P2Y12</italic> polymorphisms were not associated with clopidogrel resistance. These findings could be due to the fact that clopidogrel resistance in patients with ACS is influenced by many factors, not only by a receptor gene polymorphism but also by multiple factors. Clinical, laboratory, genetic, and epigenetic factors could affect clopidogrel resistance (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>). Legrand et al. (<xref ref-type="bibr" rid="B34">34</xref>) demonstrated a score that predicts the probability of clopidogrel resistance, called the Stent Thrombosis in Belgium (STIB) score. In the multivariate analysis, diabetes mellitus, hemoglobin &#x0003C;13.9 g/dl, and body mass index (BMI) &#x0003E; 28 kg/m<sup>2</sup> were independent predictors of clopidogrel resistance. Reed et al. (<xref ref-type="bibr" rid="B42">42</xref>) and Nakagawa et al. (<xref ref-type="bibr" rid="B43">43</xref>) found that smoking might be one of the predictors of clopidogrel resistance, besides diabetes mellitus, hypertension, BMI, and renal insufficiency. According to previous studies, diabetes and smoking were important predictors of clopidogrel resistance. Insulin resistance and an increased risk of renal dysfunction among patients with diabetes mellitus could lead to an increase in platelet aggregation through <italic>P2Y12</italic> receptors. The characteristics of the subjects in this study may also play a role. Many subjects who are carriers of CYP2C19<sup>&#x0002A;</sup>2/<sup>&#x0002A;</sup>3 polymorphism also smoke, thus resulting in the smoker&#x00027;s paradox.</p>
<p>DNA methylation of the <italic>P2Y12</italic> gene was not associated with clopidogrel resistance. These results are consistent with those of Syam et al. (<xref ref-type="bibr" rid="B32">32</xref>), who found that the methylation of the <italic>P2Y12</italic> gene promoter was not associated with clopidogrel resistance in patients with ACS after primary PCI. However, Li et al. (<xref ref-type="bibr" rid="B19">19</xref>) found an increased risk of clopidogrel resistance in the case of the occurrence of hypomethylation in the <italic>P2Y12</italic> gene promoter in patients with ischemic stroke. Su et al. (<xref ref-type="bibr" rid="B44">44</xref>) found that a non-clopidogrel response group had lower two CpG methylation at the promoter site than a clopidogrel responsive group. The locations of CGI are different from <italic>CYP2C19</italic>, which is in the promoter. In contrast to the methylation of <italic>CYP2C19</italic> in the gene body, hypomethylation of the <italic>P2Y12</italic> promoter increases ADP receptor expression, decreasing the inhibition of platelet aggregation. Thus, the results of this study were allowed to differ from those of previous studies. Several factors, including demography, nutrition, and environment, influence DNA methylation (<xref ref-type="bibr" rid="B45">45</xref>). The use of other drugs that cause interactions, such as Calcium Channel Blocker (CCB), Proton Pump Inhibitor (PPI), Selective Serotonin Reuptake Inhibitor (SSRI), and statin, is thought to decrease clopidogrel&#x00027;s action in inhibiting platelet aggregation (<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>, <xref ref-type="bibr" rid="B46">46</xref>). These drugs can be competitive inhibitors of clopidogrel because they use the same CYP isoenzymes in the liver. Drug pharmacokinetic effects, such as reduced bioavailability due to absorption, are thought to influence clopidogrel resistance. Other potential genes have been shown to be associated with clopidogrel resistance. The <italic>P2Y1</italic> gene was not investigated in this study, but it is essential because it functions as an ADP receptor, which triggers platelet aggregation (<xref ref-type="bibr" rid="B47">47</xref>). GPIIb/IIIa receptor polymorphisms, which play an essential role in the later stages of platelet aggregation, may regulate clopidogrel resistance (<xref ref-type="bibr" rid="B39">39</xref>).</p>
</sec>
<sec>
<title>4.2. Association between several factors and MACEs</title>
<p>The exact definition of MACEs is still uncertain. However, the main conditions included in the MACE studies were angina pectoris, recurrent AMI, stroke, and death. The proportion of MACEs in previous studies showed different results (<xref ref-type="bibr" rid="B3">3</xref>, <xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B48">48</xref>). Nafrialdi et al. (<xref ref-type="bibr" rid="B3">3</xref>) found a proportion of 29.3% in post-PCI patients in the 3 months of observation. Miao et al. (<xref ref-type="bibr" rid="B4">4</xref>) and Mrdovic et al. (<xref ref-type="bibr" rid="B48">48</xref>) demonstrated low proportions of 1.47 and 9.1% in 4 years and 30 days of observations, respectively. Study results could differ due to different sample sizes, subject characteristics, and follow-up periods.</p>
<p>In this study, women marginally have a higher risk of developing MACEs than men. The proportion of women (7.5%) was smaller than that of men (92.5%), resulting in a higher risk of MACEs for women. In addition, all the women in this study had hypertension, a higher proportion of diabetes, and a higher proportion of low GFR. Age was also associated with MACEs. The severity of CHD, comorbidities, and mortality risk could increase with age (<xref ref-type="bibr" rid="B49">49</xref>). In laboratory parameters, there was an association between low eGFR and MACEs. A global registry study showed that renal insufficiency was an independent predictor of mortality in patients with ACS (<xref ref-type="bibr" rid="B50">50</xref>). Renal dysfunctions were associated with low-grade inflammation and activation of the renin-angiotensin-aldosterone system (<xref ref-type="bibr" rid="B51">51</xref>). In a bivariate analysis, leukocytes were not associated with MACEs in 1 year. However, in multivariate analysis, leukocytes were considered the predictors of MACEs. The leukocyte count was considered a marker of inflammation. It has been recognized that inflammation promotes the development of MACEs, especially in the initiation and progression of atherothrombosis (<xref ref-type="bibr" rid="B52">52</xref>).</p>
<p>In this study, no relation between clopidogrel resistance and MACEs is found. Several studies have linked clopidogrel resistance to MACEs based on platelet reactivity. Frere et al. (<xref ref-type="bibr" rid="B53">53</xref>) showed that the clopidogrel-resistant group had an 8.62 times higher risk of experiencing MACEs than the clopidogrel-sensitive group (95%CI; 2.31&#x02013;32.15). Clopidogrel resistance was assessed using LTA with a 10-&#x003BC;M ADP agonist. Price et al. (<xref ref-type="bibr" rid="B54">54</xref>) also found a similar result that the clopidogrel-resistant group had a 7.17 times higher risk of experiencing MACEs (95%CI; 1.46&#x02013;35.17). However, clopidogrel resistance was determined using VerifyNow <italic>P2Y12</italic> with a Platelet Reactivity Unit (PRU) cut-off &#x0003E; 235. Gurbel et al. (<xref ref-type="bibr" rid="B20">20</xref>) showed the association between platelet reactivity and ADP, as measured using LTA with ischemic events (MACEs) within 2 years after primary PCI. The MACE group was found to have a higher percentage of aggregation value than the non-MACE group (46 &#x000B1; 14% vs. 30 &#x000B1; 17%; <italic>p</italic> &#x0003C; 0.001 to ADP 5 &#x003BC;M and 60 &#x000B1; 13% vs. 43 &#x000B1; 19%, <italic>p</italic> &#x0003C; 0.001 to ADP 20 &#x003BC;M).</p>
<p>Clopidogrel resistance results in decreased inhibition of platelet aggregation, so patients have a state of high thrombogenicity, which is part of the critical pathogenesis of MACEs. Clopidogrel response is multifactorial and can be influenced by drug interactions, drug doses, adherence to clopidogrel, and genetic and epigenetic profiles, as previously described. Aghajani et al. (<xref ref-type="bibr" rid="B55">55</xref>) in Iran found a similar relationship between clopidogrel resistance and MACEs in patients with ACS after primary PCI who were followed up for 1 month and 3 years. Factors such as loss of follow-up in 60% of patients with clopidogrel resistance, limited patient coverage at one facility, and small sample size may influence the results of this study (<xref ref-type="bibr" rid="B55">55</xref>). According to this study, the number of patients resistant to clopidogrel and who experienced MACEs were low enough to potentially mask its relationship with MACEs.</p>
<p>According to a meta-analysis by Xi et al. (<xref ref-type="bibr" rid="B56">56</xref>), an increased risk of MACEs was found in the group with the loss-of-function allele of the <italic>CYP2C19</italic> gene. As the <italic>CYP2C19</italic> polymorphism is an independent factor of MACEs in patients with ACS after primary PCI, the same was studied. However, in this study, as only miRNA-26a expression and hypomethylation of <italic>CYP2C19</italic> were associated with clopidogrel resistance, these two factors could influence MACEs. In addition to clopidogrel resistance, several factors, such as age, comorbidities like hypertension and diabetes mellitus, smoking, blood leukocyte count, and eGFR, may impact MACEs (<xref ref-type="bibr" rid="B57">57</xref>). The follow-up time of 1 year could also be a factor.</p>
<p>The results suggested that there was an association between <italic>CYP2C19</italic> polymorphisms and MACEs among post-PCI patients in 1 year. According to a meta-analysis by Biswas et al. (<xref ref-type="bibr" rid="B58">58</xref>), an increased risk of MACEs was cumulatively shown in 12&#x02013;24 months in the event of the occurrence of the <italic>CYP2C19</italic> polymorphism in an allele (either CYP2C19<sup>&#x0002A;</sup>2 or CYP2C19<sup>&#x0002A;</sup>3), and the risk was higher in the event of its occurrence in both alleles (OR = 2.22, 95%CI = 1.60&#x02013;3.09). According to a meta-analysis by Xi et al. (<xref ref-type="bibr" rid="B56">56</xref>), a similar result was obtained which included Chinese, Japanese, and Korean populations. There was an increased risk of MACEs in the <italic>CYP2C19</italic> polymorphism group from 6 to 30 months. Collet et al. (<xref ref-type="bibr" rid="B22">22</xref>) found that the CYP2C19<sup>&#x0002A;</sup>2 polymorphism was associated with MACEs (death, MI, and revascularization need) within 2 years. <italic>CYP2C19</italic> loss-of-function polymorphism is known to be one of the clopidogrel resistance risk factors. Clopidogrel is metabolized to active metabolites by several liver cytochromes P450, one of which is <italic>CYP2C19</italic>, which acts in two oxidative steps (<xref ref-type="bibr" rid="B15">15</xref>). CYP2C19<sup>&#x0002A;</sup>2 polymorphism is located at exon 5, resulting in abnormal splicing of the enzyme, while the CYP2C19<sup>&#x0002A;</sup>3 polymorphism is located at exon 4, resulting in a premature stop codon, rendering the protein formed non-functional (<xref ref-type="bibr" rid="B34">34</xref>, <xref ref-type="bibr" rid="B35">35</xref>). The decreased catalytic function of the enzyme results in fewer active metabolites, which reduces its capacity to inhibit platelet aggregation and increases the risk of MACEs.</p>
<p>However, in this study, it was found that clopidogrel resistance was not associated with MACEs. This phenomenon could be explained by the known mechanisms of the <italic>CYP2C19</italic> polymorphism increasing the risk of MACEs other than clopidogrel resistance. Increased inflammatory markers such as IL-6 and CRP are among them (<xref ref-type="bibr" rid="B22">22</xref>). Another reason is that cytochrome P450 epoxygenase is involved in the metabolism of xenobiotics. This system regulates oxidative stress, inflammation, vascular tone, hemostasis, and ischemia-reperfusion injury (<xref ref-type="bibr" rid="B59">59</xref>). One of the isoenzymes in this system is <italic>CYP2C19</italic> (<xref ref-type="bibr" rid="B60">60</xref>). CYP epoxygenase converts arachidonic acid into several regioisomers of epoxyeicosatrienoic acid (EET). EET has autocrine as well as paracrine effects. Endothelial EET causes vasodilation by relaxing the vascular muscles. EET is also anti-inflammatory in the vasculature and the kidneys. It stimulates angiogenesis, which protects against cardiac and brain ischemia (<xref ref-type="bibr" rid="B61">61</xref>). Impaired cytochrome epoxygenase enzymes are also known to promote the progression of metabolic disorders such as insulin resistance, lipid metabolism disorder, obesity, and diabetes, as well as their complications (<xref ref-type="bibr" rid="B62">62</xref>). If <italic>CYP2C19</italic> activity is reduced due to polymorphism, the protective mechanism against cardiac ischemia is also reduced. After all, MACEs are multifactorial and are influenced by clinical aspects, laboratory parameters, and genetic factors. According to previous studies, inflammation and oxidative stress are important basic mechanisms in MACEs (<xref ref-type="bibr" rid="B63">63</xref>&#x02013;<xref ref-type="bibr" rid="B65">65</xref>).</p>
<p>The <italic>P2Y12</italic> polymorphism, DNA methylation of the <italic>CYP2C19</italic> and <italic>P2Y12</italic>, and miRNA-26a expression were not associated with MACEs in 1 year. These findings were different from those of several studies. Li et al. (<xref ref-type="bibr" rid="B66">66</xref>) found a relationship between the <italic>P2Y12</italic> polymorphism (C34T and G52T) and MACEs. The <italic>P2Y12</italic> gene polymorphism analyzed in this study was A57T, which was never linked to MACEs. Sukmawan et al. (<xref ref-type="bibr" rid="B24">24</xref>) found that hypomethylation of <italic>CYP2C19</italic> was associated with suboptimal TIMI flow after primary PCI (<italic>p</italic> 0.020; OR 3.4 [95%CI 1.3&#x02013;8,7]). No previous studies have demonstrated the association between DNA methylation of <italic>CYP2C19</italic> and MACEs, such as recurrent angina, MI, stroke, or death. Li et al. (<xref ref-type="bibr" rid="B19">19</xref>) found the association between DNA methylation of <italic>P2Y12</italic> and MACEs (death, ischemic stroke, and MI). The <italic>P2Y12</italic> gene polymorphism and DNA methylation of <italic>P2Y12</italic> are related to the <italic>P2Y12</italic> ADP receptor, which is the target of clopidogrel, and changes in these genes can result in clopidogrel resistance. However, in this study, these two factors were not associated with clopidogrel resistance, and clopidogrel resistance was not associated with MACEs. DNA methylation of <italic>CYP2C19</italic> and miRNA26-26a expression were not associated with MACEs, which might be due to variable clopidogrel resistance unrelated to MACEs.</p>
<p>This is the first study to comprehensively evaluate clinical, laboratory, genetic, and epigenetic factors contributing to clopidogrel resistance, followed by MACEs in a 1-year observation. New findings reveal that DNA methylation of <italic>CYP2C19</italic> and miRNA-26a expression contribute to the development of clopidogrel resistance. Because the platelet aggregation test using LTA is quite economical, this examination is expected to be used in patient care. However, there are some limitations to this study, including the lack of attention to drug interaction and patient compliance, so further studies with a larger sample are needed to overcome these limitations. A high proportion of clopidogrel resistance in this study needs further platelet aggregation monitoring of patients. The follow-up period in this prospective cohort study may be insufficient, while some studies have lasted up to 3&#x02013;4 years. Based on the high probability of developing clopidogrel resistance in the event of hypomethylation of <italic>CYP2C19</italic> or miRNA-26a upregulation, the authors recommend the substitution of clopidogrel for antiplatelets like ticagrelor and prasugrel.</p>
</sec>
</sec>
<sec id="s5">
<title>5. Conclusion</title>
<p>One of the factors contributing to the development of MACEs among post-PCI patients with ACS is a decrease in response to clopidogrel, namely clopidogrel resistance. Genetic and epigenetic factors may regulate clopidogrel resistance. In this study, epigenetic factors such as DNA methylation of <italic>CYP2C19</italic> and miRNA-26a expression were associated with clopidogrel resistance. Hypomethylation of the <italic>CYP2C19</italic> gene body and miRNA-26a upregulation are associated with an increased risk of clopidogrel resistance. In this study, the authors found no association between clopidogrel resistance and MACEs; however, the CYP2C19<sup>&#x0002A;</sup>2/<sup>&#x0002A;</sup>3 genetic polymorphism could predict MACEs. Mutant carriers of CYP2C19<sup>&#x0002A;</sup>2/<sup>&#x0002A;</sup>3 polymorphisms are associated with an increased risk of MACEs in 1 year.</p>
<p>Further studies with a larger sample are required to understand genetic and epigenetic factors on clopidogrel resistance and MACEs. More research into the pathomechanisms of the <italic>CYP2C19</italic> polymorphism, with a focus on MACEs, is also needed. In this study, a high proportion of clopidogrel resistance requires monitoring of platelet aggregation among post-PCI patients. We also recommend the substitution of clopidogrel for ticagrelor and prasugrel in the event of hypomethylation of <italic>CYP2C19</italic> or miRNA-26a upregulation.</p>
</sec>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The data of this study are available from the corresponding author upon reasonable request.</p>
</sec>
<sec sec-type="ethics-statement" id="s7">
<title>Ethics statement</title>
<p>The studies involving human participants were reviewed and approved by National Cardiovascular Center Harapan Kita Hospital Ethics Committee. The patients/participants provided their written informed consent to participate in this study.</p>
</sec>
<sec sec-type="author-contributions" id="s8">
<title>Author contributions</title>
<p>AG, IT, RD, and RSu conceptualized and undertook this study. RSe, IA, and AT participated in the data analysis and interpretation. AH, EL, LP, WS, and RH contributed to the composing, criticizing, and operating of the laboratory procedure, especially in genetic profiling and detection of CYP2C19 polymorphism. All authors read, revised, and approved the manuscript and ensured the integrity of all aspects of this study.</p>
</sec>
</body>
<back>
<sec sec-type="funding-information" id="s9">
<title>Funding</title>
<p>This research was supported by the grant of Riset Unggulan Harapan Kita (RUHK) from the National Cardiovascular Center Harapan Kita.</p>
</sec>
<ack><p>The authors would like to express their sincere gratitude to the Head of Cardiology and Vascular Medicine Department, Faculty of Medicine Universitas Indonesia, National Cardiovascular Center Harapan Kita, who facilitated our study. The authors also express their gratitude to all the health workers who participated in this study, including those who interacted with the patients and performed laboratory procedures. The authors appreciate and thank all the patients who participated as subjects.</p>
</ack>
<sec sec-type="COI-statement" id="conf1">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x00027;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<ref-list>
<title>References</title>
<ref id="B1">
<label>1.</label>
<citation citation-type="web"><person-group person-group-type="author"><collab>World Health Organization</collab></person-group>. <article-title>The top 10 causes of death</article-title>. Available online at: <ext-link ext-link-type="uri" xlink:href="https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death">https://www.who.int/news-room/fact-sheets/detail/the-top-10-causes-of-death</ext-link> (accessed January 22, 2021).</citation>
</ref>
<ref id="B2">
<label>2.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Levine</surname> <given-names>GN</given-names></name> <name><surname>Bates</surname> <given-names>ER</given-names></name> <name><surname>Bittl</surname> <given-names>JA</given-names></name> <name><surname>Brindis</surname> <given-names>RG</given-names></name> <name><surname>Fihn</surname> <given-names>SD</given-names></name> <name><surname>Fleisher</surname> <given-names>LA</given-names></name> <etal/></person-group>. <article-title>2016 ACC/AHA guideline focused update on duration of dual antiplatelet therapy in coronary artery disease</article-title>. <source>JACC.</source> (<year>2016</year>) <volume>68</volume>:<fpage>108</fpage>&#x02013;<lpage>15</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2016.03.513</pub-id><pub-id pub-id-type="pmid">27036918</pub-id></citation></ref>
<ref id="B3">
<label>3.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nafrialdi</surname> <given-names>N</given-names></name> <name><surname>Handini</surname> <given-names>NM</given-names></name> <name><surname>Instiaty</surname> <given-names>I</given-names></name> <name><surname>Wijaya</surname> <given-names>IP</given-names></name> <name><surname>A</surname></name></person-group>. <article-title>cost-effectiveness and safety analysis of dual antiplatelet therapy comparing aspirin-clopidogrel to aspirin-ticagrelor in patients with acute coronary syndrome</article-title>. <source>Med J Indones.</source> (<year>2018</year>) <volume>27</volume>:<fpage>262</fpage>&#x02013;<lpage>70</lpage>. <pub-id pub-id-type="doi">10.13181/mji.v27i4.3024</pub-id></citation>
</ref>
<ref id="B4">
<label>4.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Miao</surname> <given-names>B</given-names></name> <name><surname>Hernandez</surname> <given-names>AV</given-names></name> <name><surname>Alberts</surname> <given-names>MJ</given-names></name> <name><surname>Mangiafico</surname> <given-names>N</given-names></name> <name><surname>Roman</surname> <given-names>YM</given-names></name> <name><surname>Coleman</surname> <given-names>CI</given-names></name></person-group>. <article-title>Incidence and predictors of major adverse cardiovascular events in patients with established atherosclerotic disease or multiple risk factor</article-title>. <source>J Am Heart Assoc.</source> (<year>2020</year>) <volume>9</volume>:<fpage>1014402</fpage>. <pub-id pub-id-type="doi">10.1161/JAHA.119.014402</pub-id><pub-id pub-id-type="pmid">31937196</pub-id></citation></ref>
<ref id="B5">
<label>5.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Poudel</surname> <given-names>I</given-names></name> <name><surname>Tejpal</surname> <given-names>C</given-names></name> <name><surname>Rashid</surname> <given-names>H</given-names></name> <name><surname>Jahan</surname> <given-names>N</given-names></name></person-group>. <article-title>Major adverse cardiovascular events: an inevitable outcome of ST-elevation myocardial infarction? A literature review</article-title>. <source>Cureus.</source> (<year>2019</year>) <volume>11</volume>:<fpage>e5280</fpage>. <pub-id pub-id-type="doi">10.7759/cureus.5280</pub-id><pub-id pub-id-type="pmid">31423405</pub-id></citation></ref>
<ref id="B6">
<label>6.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zhang YJ Li</surname> <given-names>MP</given-names></name> <name><surname>Tang</surname> <given-names>J</given-names></name> <name><surname>Chen</surname> <given-names>XP</given-names></name></person-group>. <article-title>Pharmacokinetic and pharmacodynamic responses to clopidogrel: evidences and perspectives</article-title>. <source>Int J Environ Res Public Health.</source> (<year>2017</year>) <volume>14</volume>:<fpage>1</fpage>&#x02013;<lpage>19</lpage>. <pub-id pub-id-type="doi">10.3390/ijerph14030301</pub-id><pub-id pub-id-type="pmid">28335443</pub-id></citation></ref>
<ref id="B7">
<label>7.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Farooq</surname> <given-names>V</given-names></name> <name><surname>Gogas</surname> <given-names>BD</given-names></name> <name><surname>Serruys</surname> <given-names>PW</given-names></name></person-group>. <article-title>Restenosis: delineating the numerous causes of drug-eluting stent restenosis</article-title>. <source>Circ Cardiovasc Interv.</source> (<year>2011</year>) <volume>4</volume>:<fpage>195</fpage>&#x02013;<lpage>205</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCINTERVENTIONS.110.959882</pub-id><pub-id pub-id-type="pmid">21505166</pub-id></citation></ref>
<ref id="B8">
<label>8.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hasan</surname> <given-names>MS</given-names></name> <name><surname>Basri</surname> <given-names>HB</given-names></name> <name><surname>Hin</surname> <given-names>LP</given-names></name> <name><surname>Stanslas</surname> <given-names>J</given-names></name></person-group>. <article-title>Genetic polymorphisms and drug interactions leading to clopidogrel resistance: why the asian population requires special attention</article-title>. <source>Int J Neurosci.</source> (<year>2012</year>) <volume>123</volume>:<fpage>143</fpage>&#x02013;<lpage>54</lpage>. <pub-id pub-id-type="doi">10.3109/00207454.2012.744308</pub-id><pub-id pub-id-type="pmid">23110469</pub-id></citation></ref>
<ref id="B9">
<label>9.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sambu</surname> <given-names>N</given-names></name> <name><surname>Radhakrishnan</surname> <given-names>A</given-names></name> <name><surname>Dent</surname> <given-names>H</given-names></name> <name><surname>Calver</surname> <given-names>AL</given-names></name> <name><surname>Corbett</surname> <given-names>S</given-names></name> <name><surname>Gray</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Personalised antiplatelet therapy in stent thrombosis: observations from the clopidogrel resistance in stent thrombosis (CREST) registry</article-title>. <source>Heart.</source> (<year>2012</year>) <volume>98</volume>:<fpage>706</fpage>&#x02013;<lpage>11</lpage>. <pub-id pub-id-type="doi">10.1136/heartjnl-2011-301164</pub-id><pub-id pub-id-type="pmid">22523055</pub-id></citation></ref>
<ref id="B10">
<label>10.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Rai</surname> <given-names>M</given-names></name> <name><surname>Gupta</surname> <given-names>A</given-names></name> <name><surname>McKay</surname> <given-names>RG</given-names></name> <name><surname>Hirst</surname> <given-names>J</given-names></name> <name><surname>Thompson</surname> <given-names>PD</given-names></name> <name><surname>Rua&#x000F1;o</surname> <given-names>G</given-names></name></person-group>. <article-title>CYP2C19 genotype-guided antiplatelet therapy in a patient with clopidogrel resistance</article-title>. <source>Conn Med.</source> (<year>2012</year>) <volume>76</volume>:<fpage>267</fpage>&#x02013;<lpage>72</lpage>. <pub-id pub-id-type="pmid">22685981</pub-id></citation></ref>
<ref id="B11">
<label>11.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Scott</surname> <given-names>S</given-names></name> <name><surname>Sangkuhl</surname> <given-names>K</given-names></name> <name><surname>Gardner</surname> <given-names>EE</given-names></name> <name><surname>Stein</surname> <given-names>CM</given-names></name> <name><surname>Hulot</surname> <given-names>JS</given-names></name> <name><surname>Johnson</surname> <given-names>JA</given-names></name> <etal/></person-group>. <article-title>Clinical pharmacogenetics implementation consortium: clinical pharmacogenetics implementation consortium guidelines for cytochrome P450-2C19 (CYP2C19) genotype and clopidogrel therapy</article-title>. <source>Clin Pharmacol Ther.</source> (<year>2011</year>) <volume>90</volume>:<fpage>328</fpage>&#x02013;<lpage>32</lpage>. <pub-id pub-id-type="doi">10.1038/clpt.2011.132</pub-id><pub-id pub-id-type="pmid">21716271</pub-id></citation></ref>
<ref id="B12">
<label>12.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Farre</surname> <given-names>AJL</given-names></name> <name><surname>Tamargo</surname> <given-names>J</given-names></name> <name><surname>Mateos-Caceres</surname> <given-names>PJ</given-names></name> <name><surname>Azcona</surname> <given-names>L</given-names></name> <name><surname>Macaya</surname> <given-names>C</given-names></name></person-group>. <article-title>Old and new molecular mechanisms associated with platelet resistance to antithrombotics</article-title>. <source>Pharm Res.</source> (<year>2010</year>) <volume>27</volume>:<fpage>2365</fpage>&#x02013;<lpage>73</lpage>. <pub-id pub-id-type="doi">10.1007/s11095-010-0209-4</pub-id><pub-id pub-id-type="pmid">20628791</pub-id></citation></ref>
<ref id="B13">
<label>13.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shalia</surname> <given-names>KK</given-names></name> <name><surname>Shah</surname> <given-names>VK</given-names></name> <name><surname>Pawar</surname> <given-names>P</given-names></name> <name><surname>Divekar</surname> <given-names>SS</given-names></name> <name><surname>Payannavar</surname> <given-names>S</given-names></name></person-group>. <article-title>Polymorphisms of MDR1, CYP2C19 and P2Y12 genes in indian population: effects on clopidogrel response</article-title>. <source>Indian Heart J.</source> (<year>2013</year>) <volume>65</volume>:<fpage>158</fpage>&#x02013;<lpage>67</lpage>. <pub-id pub-id-type="doi">10.1016/j.ihj.2013.02.012</pub-id><pub-id pub-id-type="pmid">23647895</pub-id></citation></ref>
<ref id="B14">
<label>14.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Moosavi</surname> <given-names>A</given-names></name> <name><surname>Ardekani</surname> <given-names>AM</given-names></name></person-group>. <article-title>Role of epigenetics in biology and human diseases</article-title>. <source>Iran Biomed J.</source> (<year>2016</year>) <volume>20</volume>:<fpage>246</fpage>&#x02013;<lpage>58</lpage>. <pub-id pub-id-type="pmid">27377127</pub-id></citation></ref>
<ref id="B15">
<label>15.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Burns</surname> <given-names>KE</given-names></name> <name><surname>Shepherd</surname> <given-names>P</given-names></name> <name><surname>Finlay</surname> <given-names>G</given-names></name> <name><surname>Tingle</surname> <given-names>MD</given-names></name> <name><surname>Helsby</surname> <given-names>NA</given-names></name></person-group>. <article-title>Indirect regulation of <italic>CYP2C19</italic> gene expression via DNA methylation</article-title>. <source>Xenobiotica.</source> (<year>2017</year>) <volume>1</volume>:<fpage>1</fpage>&#x02013;<lpage>12</lpage>. <pub-id pub-id-type="doi">10.1080/00498254.2017.1372648</pub-id><pub-id pub-id-type="pmid">28840784</pub-id></citation></ref>
<ref id="B16">
<label>16.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Chen</surname> <given-names>S</given-names></name> <name><surname>Qi</surname> <given-names>X</given-names></name> <name><surname>Chen</surname> <given-names>H</given-names></name> <name><surname>Li</surname> <given-names>M</given-names></name> <name><surname>Gu</surname> <given-names>J</given-names></name> <name><surname>Liu</surname> <given-names>C</given-names></name> <etal/></person-group>. <article-title>Expression of miRNA-26a in platelets is associated with clopidogrel resistance following coronary stenting</article-title>. <source>Exp Ther Med.</source> (<year>2016</year>) <volume>12</volume>:<fpage>518</fpage>&#x02013;<lpage>24</lpage>. <pub-id pub-id-type="doi">10.3892/etm.2016.3278</pub-id><pub-id pub-id-type="pmid">27347088</pub-id></citation></ref>
<ref id="B17">
<label>17.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Neki</surname> <given-names>NS</given-names></name></person-group>. <article-title>Clopidogrel resistance: current Issues</article-title>. <source>J Enam Med Coll.</source> (<year>2016</year>) <volume>6</volume>:<fpage>38</fpage>. <pub-id pub-id-type="doi">10.3329/jemc.v6i1.26381</pub-id></citation>
</ref>
<ref id="B18">
<label>18.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Zoheir</surname> <given-names>N</given-names></name> <name><surname>Elhamid</surname> <given-names>SA</given-names></name> <name><surname>Abulata</surname> <given-names>N</given-names></name> <name><surname>Sobky</surname> <given-names>ME</given-names></name> <name><surname>Khafagy</surname> <given-names>D</given-names></name> <name><surname>Mostafa</surname> <given-names>A</given-names></name></person-group>. <article-title>P2Y12 receptor gene polymorphism and antiplatelet effect of clopidogrel in patients with coronary artery disease after coronary stenting</article-title>. <source>Blood Coagul Fibrinolysis.</source> (<year>2013</year>) <volume>24</volume>:<fpage>525</fpage>&#x02013;<lpage>31</lpage>. <pub-id pub-id-type="doi">10.1097/MBC.0b013e32835e98bf</pub-id><pub-id pub-id-type="pmid">23751603</pub-id></citation></ref>
<ref id="B19">
<label>19.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>XG</given-names></name> <name><surname>Ma</surname> <given-names>N</given-names></name> <name><surname>Wang</surname> <given-names>B</given-names></name> <name><surname>Li</surname> <given-names>XQ</given-names></name> <name><surname>Mei</surname> <given-names>SH</given-names></name> <name><surname>Zhao</surname> <given-names>K</given-names></name> <etal/></person-group>. <article-title>The impact of P2Y12 promoter DNA methylation on the recurrence of ischemic events in chinese patients with ischemic cerebrovascular disease</article-title>. <source>Sci Rep.</source> (<year>2016</year>) <volume>6</volume>:<fpage>34570</fpage>. <pub-id pub-id-type="doi">10.1038/srep34570</pub-id><pub-id pub-id-type="pmid">27686864</pub-id></citation></ref>
<ref id="B20">
<label>20.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Gurbel</surname> <given-names>PA</given-names></name> <name><surname>Antonio</surname> <given-names>MJ</given-names></name> <name><surname>Bliden</surname> <given-names>KP</given-names></name> <name><surname>Dichiara</surname> <given-names>J</given-names></name> <name><surname>Suarez</surname> <given-names>TA</given-names></name> <name><surname>Singla</surname> <given-names>A</given-names></name></person-group>. <article-title>Platelet reactivity to adenosine diphosphate and long-term ischemic event occurence following percutaneous coronary intervention: a potential antiplatelet therapeutic target</article-title>. <source>Platelets.</source> (<year>2008</year>) <volume>19</volume>:<fpage>595</fpage>&#x02013;<lpage>604</lpage>. <pub-id pub-id-type="doi">10.1080/09537100802351065</pub-id><pub-id pub-id-type="pmid">19012177</pub-id></citation></ref>
<ref id="B21">
<label>21.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Hubacek</surname> <given-names>JA</given-names></name> <name><surname>Stanek</surname> <given-names>C</given-names></name> <name><surname>Gebauerova</surname> <given-names>M</given-names></name> <name><surname>Adamkova</surname> <given-names>V</given-names></name> <name><surname>Lesauskaite</surname> <given-names>V</given-names></name> <name><surname>Peksiene</surname> <given-names>DZ</given-names></name> <etal/></person-group>. <article-title>Traditional risk factors of acute coronary syndrome in four different male populations&#x02013;total cholesterol value does not seem to be relevant risk factor</article-title>. <source>Physiol Res.</source> (<year>2017</year>) <volume>66</volume>:<fpage>S121</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.33549/physiolres.933597</pub-id><pub-id pub-id-type="pmid">28379037</pub-id></citation></ref>
<ref id="B22">
<label>22.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Collet</surname> <given-names>JP</given-names></name> <name><surname>Hulot</surname> <given-names>JS</given-names></name> <name><surname>Pena</surname> <given-names>A</given-names></name> <name><surname>Villard</surname> <given-names>E</given-names></name> <name><surname>Esteve</surname> <given-names>JB</given-names></name> <name><surname>Silvain</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Cytochrome P450 2C19 polymorphism in young patients treated with clopidogrel after myocardial infarction: a cohort study</article-title>. <source>Lancet.</source> (<year>2009</year>) <volume>373</volume>:<fpage>309</fpage>&#x02013;<lpage>17</lpage>. <pub-id pub-id-type="doi">10.1016/S0140-6736(08)61845-0</pub-id><pub-id pub-id-type="pmid">19108880</pub-id></citation></ref>
<ref id="B23">
<label>23.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Amin</surname> <given-names>AA</given-names></name> <name><surname>Chin</surname> <given-names>LS</given-names></name> <name><surname>Noor</surname> <given-names>DAM</given-names></name> <name><surname>Mostada</surname> <given-names>H</given-names></name> <name><surname>Kader</surname> <given-names>MASKA</given-names></name> <name><surname>Hay</surname> <given-names>YK</given-names></name> <etal/></person-group>. <article-title>The effect of CYP2C19genetic polymorphism and non-genetic factors on clopidogrel platelets inhibition in East Asian coronary artery disease patients</article-title>. <source>Thrombosis Res.</source> (<year>2017</year>) <volume>158</volume>:<fpage>22</fpage>&#x02013;<lpage>4</lpage>. <pub-id pub-id-type="doi">10.1016/j.thromres.2017.07.032</pub-id><pub-id pub-id-type="pmid">28802144</pub-id></citation></ref>
<ref id="B24">
<label>24.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Sukmawan</surname> <given-names>R</given-names></name> <name><surname>Hoetama</surname> <given-names>E</given-names></name> <name><surname>Danny</surname> <given-names>SS</given-names></name> <name><surname>Giantini</surname> <given-names>A</given-names></name> <name><surname>Listianingsih</surname> <given-names>E</given-names></name> <name><surname>Rejeki</surname> <given-names>VG</given-names></name> <etal/></person-group>. <article-title>Increase in the risk of clopidogrel resistance and consequent TIMI flow impairment by DNA hypomethylation of CYP2C19 gene in STEMI patients undergoing primary percutaneous coronary intervention (PPCI)</article-title>. <source>Pharmacol Res Perspect.</source> (<year>2021</year>) 9:e00738 <pub-id pub-id-type="doi">10.1002/prp2.738</pub-id><pub-id pub-id-type="pmid">33641235</pub-id></citation></ref>
<ref id="B25">
<label>25.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Lim</surname> <given-names>U</given-names></name> <name><surname>Song</surname> <given-names>MA</given-names></name></person-group>. <article-title>Dietary and lifestyle factors of DNA methylation</article-title>. <source>Methods Mol Biol.</source> (<year>2012</year>) <volume>83</volume>:<fpage>357</fpage>&#x02013;<lpage>76</lpage>. <pub-id pub-id-type="doi">10.1007/978-1-61779-612-8_23</pub-id><pub-id pub-id-type="pmid">22359306</pub-id></citation></ref>
<ref id="B26">
<label>26.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Ferreiro</surname> <given-names>JL</given-names></name> <name><surname>Bhatt</surname> <given-names>DL</given-names></name> <name><surname>Ueno</surname> <given-names>M</given-names></name> <name><surname>Bauer</surname> <given-names>D</given-names></name> <name><surname>Angiolillo</surname> <given-names>DJ</given-names></name></person-group>. <article-title>Impact of smoking on long-term outcomes in patients with Atherosclerotic vascular disease treated with aspirin or Clopidogrel</article-title>. <source>JACC.</source> (<year>2014</year>) <volume>63</volume>:<fpage>769</fpage>&#x02013;<lpage>77</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2013.10.043</pub-id><pub-id pub-id-type="pmid">24239662</pub-id></citation></ref>
<ref id="B27">
<label>27.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Edem</surname> <given-names>E</given-names></name> <name><surname>Kirdok</surname> <given-names>AH</given-names></name> <name><surname>Kinay</surname> <given-names>AO</given-names></name> <name><surname>Tekin</surname> <given-names>UI</given-names></name></person-group>. <article-title>Does &#x0201C;smoker&#x00027;s paradox&#x0201D; exist in clopidogrel-treated Turkish patients with acute coronary syndrome</article-title>. <source>Platelets.</source> (<year>2015</year>) <volume>27</volume>:<fpage>1</fpage>&#x02013;<lpage>5</lpage>. <pub-id pub-id-type="doi">10.3109/09537104.2015.1083544</pub-id><pub-id pub-id-type="pmid">26367336</pub-id></citation></ref>
<ref id="B28">
<label>28.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nakanishi</surname> <given-names>R</given-names></name> <name><surname>Berman</surname> <given-names>DS</given-names></name> <name><surname>Budoff</surname> <given-names>MJ</given-names></name> <name><surname>Gransar</surname> <given-names>H</given-names></name> <name><surname>Achenbach</surname> <given-names>S</given-names></name> <name><surname>Al-Mallah</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Current but not past smoking increases the risk of cardiac events: insights from coronary computed tomographic angiography</article-title>. <source>Eur Heart J.</source> (<year>2015</year>) <volume>36</volume>:<fpage>1031</fpage>&#x02013;<lpage>40</lpage>. <pub-id pub-id-type="doi">10.1093/eurheartj/ehv013</pub-id><pub-id pub-id-type="pmid">25666322</pub-id></citation></ref>
<ref id="B29">
<label>29.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shenker</surname> <given-names>N</given-names></name> <name><surname>Flanagan</surname> <given-names>JM</given-names></name></person-group>. <article-title>Intragenic DNA methylation: implications of this epigenetic mechanism for cancer research</article-title>. <source>Br J Cancer.</source> (<year>2012</year>) <volume>106</volume>:<fpage>248</fpage>&#x02013;<lpage>53</lpage>. <pub-id pub-id-type="doi">10.1038/bjc.2011.550</pub-id><pub-id pub-id-type="pmid">22166804</pub-id></citation></ref>
<ref id="B30">
<label>30.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Bibikova</surname> <given-names>M</given-names></name> <name><surname>Barnes</surname> <given-names>B</given-names></name> <name><surname>Tsan</surname> <given-names>C</given-names></name> <name><surname>Ho</surname> <given-names>V</given-names></name> <name><surname>Klotzle</surname> <given-names>B</given-names></name> <name><surname>Le</surname> <given-names>JM</given-names></name> <etal/></person-group>. <article-title>High density DNA methylation array with single CpG site resolution</article-title>. <source>Genomics.</source> (<year>2011</year>) <volume>98</volume>:<fpage>288</fpage>&#x02013;<lpage>95</lpage>. <pub-id pub-id-type="doi">10.1016/j.ygeno.2011.07.007</pub-id><pub-id pub-id-type="pmid">21839163</pub-id></citation></ref>
<ref id="B31">
<label>31.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tang</surname> <given-names>X</given-names></name> <name><surname>Ge</surname> <given-names>L</given-names></name> <name><surname>Chen</surname> <given-names>Z</given-names></name></person-group>. <article-title>Methylation of the constitutive androstane receptor is involved in the suppression of CYP2C19 in hepatitis B virus-associated hepatocellular carcinoma</article-title>. <source>Drug Metab Dispos.</source> (<year>2016</year>) <volume>44</volume>:<fpage>1643</fpage>&#x02013;<lpage>52</lpage>. <pub-id pub-id-type="doi">10.1124/dmd.116.070243</pub-id><pub-id pub-id-type="pmid">27440862</pub-id></citation></ref>
<ref id="B32">
<label>32.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Syam</surname> <given-names>H</given-names></name> <name><surname>Sukmawan</surname> <given-names>R</given-names></name> <name><surname>Dharma</surname> <given-names>S</given-names></name> <name><surname>Alaztha</surname> <given-names>G</given-names></name> <name><surname>Giyantini</surname> <given-names>A</given-names></name> <name><surname>Prakoso</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Epigenetic interaction of miRNA-26a and P2Y12 gene DNA methylation on platelet reactivity under clipodiogrel and their impact to coronary flow after primary PCI in STEMI</article-title>. <source>Eur Heart J.</source> (<year>2020</year>) <volume>41</volume>:<fpage>ehaa946</fpage>.1547. <pub-id pub-id-type="doi">10.1093/ehjci/ehaa946.1547</pub-id></citation>
</ref>
<ref id="B33">
<label>33.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Berezikov</surname> <given-names>E</given-names></name> <name><surname>Cuppen</surname> <given-names>E</given-names></name> <name><surname>Plasterk</surname> <given-names>RHA</given-names></name></person-group>. <article-title>Approaches to microRNA discovery</article-title>. <source>Nat Genet.</source> (<year>2006</year>) <volume>38</volume>:<fpage>S2</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1038/ng1794</pub-id><pub-id pub-id-type="pmid">16736019</pub-id></citation></ref>
<ref id="B34">
<label>34.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Legrand</surname> <given-names>D</given-names></name> <name><surname>Barbato</surname> <given-names>E</given-names></name> <name><surname>Chenu</surname> <given-names>P</given-names></name> <name><surname>Magne</surname> <given-names>J</given-names></name> <name><surname>Vrolix</surname> <given-names>M</given-names></name> <name><surname>Wijns</surname> <given-names>W</given-names></name> <etal/></person-group>. <article-title>The STIB score: a simple clinical test to predict clopidogrel resistance</article-title>. <source>Acta Cardiol.</source> (<year>2015</year>) <volume>70</volume>:<fpage>516</fpage>&#x02013;<lpage>21</lpage>. <pub-id pub-id-type="doi">10.1080/AC.70.5.3110511</pub-id><pub-id pub-id-type="pmid">26567810</pub-id></citation></ref>
<ref id="B35">
<label>35.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dehbozorgi</surname> <given-names>M</given-names></name> <name><surname>Kamalidehghan</surname> <given-names>B</given-names></name> <name><surname>Hosseini</surname> <given-names>I</given-names></name> <name><surname>Dehghanfard</surname> <given-names>Z</given-names></name> <name><surname>Sangtarash</surname> <given-names>MH</given-names></name> <name><surname>Firoozi</surname> <given-names>M</given-names></name> <etal/></person-group>. <article-title>Prevalence of the CYP2C19<sup>&#x0002A;</sup>2 (681 G&#x0003E;A), <sup>&#x0002A;</sup>3 (636 G&#x0003E;A) and <sup>&#x0002A;</sup>17 (-806 C&#x0003E;T) alleles among an Iranian population of different ethnicities</article-title>. <source>Mol Med Rep.</source> (<year>2018</year>) <volume>17</volume>:<fpage>41955</fpage>&#x02013;<lpage>202</lpage>. <pub-id pub-id-type="doi">10.3892/mmr.2018.8377</pub-id><pub-id pub-id-type="pmid">29328413</pub-id></citation></ref>
<ref id="B36">
<label>36.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Su</surname> <given-names>Q</given-names></name> <name><surname>Li</surname> <given-names>J</given-names></name> <name><surname>Tang</surname> <given-names>Z</given-names></name> <name><surname>Yang</surname> <given-names>S</given-names></name> <name><surname>Xing</surname> <given-names>G</given-names></name> <name><surname>Liu</surname> <given-names>T</given-names></name></person-group>. <article-title>Association of CYP2C19 polymorphism with clopidogrel resistance in patients with acute coronary syndrome in china</article-title>. <source>Med Sci Monit.</source> (<year>2019</year>) <volume>25</volume>:<fpage>7138</fpage>&#x02013;<lpage>48</lpage>. <pub-id pub-id-type="doi">10.12659/MSM.915971</pub-id><pub-id pub-id-type="pmid">31543510</pub-id></citation></ref>
<ref id="B37">
<label>37.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shaul</surname> <given-names>O</given-names></name></person-group>. <article-title>How introns enhance gene expression</article-title>. <source>Int J Biochem Cell Biol.</source> (<year>2017</year>) <volume>91</volume>:<fpage>145</fpage>&#x02013;<lpage>55</lpage>. <pub-id pub-id-type="doi">10.1016/j.biocel.2017.06.016</pub-id><pub-id pub-id-type="pmid">28673892</pub-id></citation></ref>
<ref id="B38">
<label>38.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cui</surname> <given-names>G</given-names></name> <name><surname>Zhang</surname> <given-names>S</given-names></name> <name><surname>Zou</surname> <given-names>J</given-names></name> <name><surname>Chen</surname> <given-names>Y</given-names></name> <name><surname>Chen</surname> <given-names>H</given-names></name></person-group>. <article-title>P2Y12 receptor gene polymorphism and the risk of resistance to clopidogrel: A meta-analysis and review of the literature</article-title>. <source>Adv Clin Exp Med.</source> (<year>2017</year>) <volume>26</volume>:<fpage>343</fpage>&#x02013;<lpage>49</lpage>. <pub-id pub-id-type="doi">10.17219/acem/63745</pub-id><pub-id pub-id-type="pmid">28791856</pub-id></citation></ref>
<ref id="B39">
<label>39.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Angiolillo</surname> <given-names>DJ</given-names></name> <name><surname>Fernandez-Ortiz</surname> <given-names>A</given-names></name> <name><surname>Bernardo</surname> <given-names>E</given-names></name> <name><surname>Ramirez</surname> <given-names>C</given-names></name> <name><surname>Cavallari</surname> <given-names>U</given-names></name> <name><surname>Trabetti</surname> <given-names>E</given-names></name> <etal/></person-group>. <article-title>Lack of association between the P2Y12 receptor gene polymorphism and platelet response to clopidogrel in patients with coronary artery disease</article-title>. <source>Thromb Res.</source> (<year>2005</year>) <volume>116</volume>:<fpage>491</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/j.thromres.2005.03.001</pub-id><pub-id pub-id-type="pmid">16181985</pub-id></citation></ref>
<ref id="B40">
<label>40.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Cardoso</surname> <given-names>RN</given-names></name> <name><surname>Benjo</surname> <given-names>AM</given-names></name> <name><surname>DiNicolantonio</surname> <given-names>JJ</given-names></name> <name><surname>Garcia</surname> <given-names>DC</given-names></name> <name><surname>Macedo</surname> <given-names>FYB</given-names></name> <name><surname>El-Hayek</surname> <given-names>G</given-names></name> <etal/></person-group>. <article-title>Incidence of cardiovascular events and gastrointestinal bleeding in patients receiving clopidogrel with and without proton pump inhibitors: an updated meta-analysis</article-title>. <source>Open Heart.</source> (<year>2015</year>) <volume>2</volume>:<fpage>e000248</fpage>. <pub-id pub-id-type="doi">10.1136/openhrt-2015-000248</pub-id><pub-id pub-id-type="pmid">26196021</pub-id></citation></ref>
<ref id="B41">
<label>41.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Feher</surname> <given-names>G</given-names></name> <name><surname>Feher</surname> <given-names>A</given-names></name> <name><surname>Pusch</surname> <given-names>G</given-names></name> <name><surname>Koltai</surname> <given-names>K</given-names></name> <name><surname>Tibold</surname> <given-names>A</given-names></name> <name><surname>Gasztonyi</surname> <given-names>B</given-names></name> <etal/></person-group>. <article-title>Clinical importance of aspirin and clopidogrel resistance</article-title>. <source>World J Cardiol.</source> (<year>2010</year>) <volume>2</volume>:<fpage>171</fpage>&#x02013;<lpage>86</lpage>. <pub-id pub-id-type="doi">10.4330/wjc.v2.i7.171</pub-id><pub-id pub-id-type="pmid">21160749</pub-id></citation></ref>
<ref id="B42">
<label>42.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Reed</surname> <given-names>GW</given-names></name> <name><surname>Cannon</surname> <given-names>CP</given-names></name> <name><surname>Waalen</surname> <given-names>J</given-names></name> <name><surname>Teirstein</surname> <given-names>PS</given-names></name> <name><surname>Tanguay</surname> <given-names>JF</given-names></name> <name><surname>Berger</surname> <given-names>PB</given-names></name> <etal/></person-group>. <article-title>Influence of smoking on the antiplatelet effect of clopidogrel differs according to clopidogrel dose:insights from the GRAVITAS Trial</article-title>. <source>Catheter Cardiovasc Interv.</source> (<year>2017</year>) <volume>89</volume>:<fpage>190</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1002/ccd.26428</pub-id><pub-id pub-id-type="pmid">26909669</pub-id></citation></ref>
<ref id="B43">
<label>43.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nakagawa</surname> <given-names>I</given-names></name> <name><surname>Park</surname> <given-names>HS</given-names></name> <name><surname>Yokoyama</surname> <given-names>S</given-names></name> <name><surname>Wada</surname> <given-names>T</given-names></name> <name><surname>Hironaka</surname> <given-names>Y</given-names></name> <name><surname>Motoyama</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Influence of diabetes mellitus and cigarette smoking on variability of the clopidogrel-induced antiplatelet effect and efficacy of active management of the target P2Y12 reaction unit range in patients undergoing neurointerventional procedures</article-title>. <source>J Stroke Cerebrovasc Dis.</source> (<year>2016</year>) <volume>25</volume>:<fpage>16</fpage>&#x02013;<lpage>71</lpage>. <pub-id pub-id-type="doi">10.1016/j.jstrokecerebrovasdis.2015.09.010</pub-id><pub-id pub-id-type="pmid">26493334</pub-id></citation></ref>
<ref id="B44">
<label>44.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Su</surname> <given-names>J</given-names></name> <name><surname>Li</surname> <given-names>X</given-names></name> <name><surname>Yu</surname> <given-names>Q</given-names></name> <name><surname>Liu</surname> <given-names>Y</given-names></name> <name><surname>Wang</surname> <given-names>Y</given-names></name> <name><surname>Song</surname> <given-names>H</given-names></name> <etal/></person-group>. <article-title>Association of P2Y12 gene promoter DNA methylation with the risk of clopidogrel resistance in coronary artery disease patients</article-title>. <source>BioMed Res Int.</source> (<year>2014</year>) <volume>2014</volume>:<fpage>1</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1155/2014/450814</pub-id><pub-id pub-id-type="pmid">24745016</pub-id></citation></ref>
<ref id="B45">
<label>45.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>El-Maarri</surname> <given-names>O</given-names></name> <name><surname>Becker</surname> <given-names>T</given-names></name> <name><surname>Junen</surname> <given-names>J</given-names></name> <name><surname>Manzoor</surname> <given-names>SS</given-names></name> <name><surname>Diaz-Lacava</surname> <given-names>A</given-names></name> <name><surname>Schwaab</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Gender specific differences in levels of DNA methylation at selected loci from human total blood: a tendency toward higher methylation levels in males</article-title>. <source>Hum Genet.</source> (<year>2007</year>) <volume>122</volume>:<fpage>505</fpage>&#x02013;<lpage>14</lpage>. <pub-id pub-id-type="doi">10.1007/s00439-007-0430-3</pub-id><pub-id pub-id-type="pmid">17851693</pub-id></citation></ref>
<ref id="B46">
<label>46.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Pedersen</surname> <given-names>F</given-names></name> <name><surname>Butrymovich</surname> <given-names>V</given-names></name> <name><surname>Kelbaek</surname> <given-names>H</given-names></name> <name><surname>Wachtell</surname> <given-names>K</given-names></name> <name><surname>Helqvist</surname> <given-names>S</given-names></name> <name><surname>Katrup</surname> <given-names>J</given-names></name> <etal/></person-group>. <article-title>Short and long therm cause of death in patients treated with primary PCI for STEMI</article-title>. <source>JACC.</source> (<year>2014</year>) <volume>64</volume>:<fpage>2101</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1016/j.jacc.2014.08.037</pub-id><pub-id pub-id-type="pmid">25457398</pub-id></citation></ref>
<ref id="B47">
<label>47.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Kar</surname> <given-names>R</given-names></name> <name><surname>Meena</surname> <given-names>A</given-names></name> <name><surname>Yadav</surname> <given-names>BK</given-names></name> <name><surname>Yadav</surname> <given-names>R</given-names></name> <name><surname>Kar</surname> <given-names>SS</given-names></name> <name><surname>Saxena</surname> <given-names>R</given-names></name></person-group>. <article-title>Clopidogrel resistance in North Indian patients of coronary artery disease and lack of its association with platelet ADP receptors P2Y1 and P2Y12 gene polymorphisms</article-title>. <source>Platelets.</source> (<year>2012</year>) <volume>24</volume>:<fpage>297</fpage>&#x02013;<lpage>302</lpage>. <pub-id pub-id-type="doi">10.3109/09537104.2012.693992</pub-id><pub-id pub-id-type="pmid">22721490</pub-id></citation></ref>
<ref id="B48">
<label>48.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mrdovic</surname> <given-names>I</given-names></name> <name><surname>Savic</surname> <given-names>L</given-names></name> <name><surname>Krljanac</surname> <given-names>G</given-names></name> <name><surname>Asamin</surname> <given-names>M</given-names></name> <name><surname>Perunicic</surname> <given-names>J</given-names></name> <name><surname>Lasica</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Predicting 30-day major adverse cardiovascular events after primary percutaneous coronary intervention the RISK-PCI score</article-title>. <source>Int J Cardiol.</source> (<year>2013</year>) <volume>162</volume>:<fpage>220</fpage>&#x02013;<lpage>7</lpage>. <pub-id pub-id-type="doi">10.1016/j.ijcard.2011.05.071</pub-id><pub-id pub-id-type="pmid">21663982</pub-id></citation></ref>
<ref id="B49">
<label>49.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Nakazato</surname> <given-names>R</given-names></name> <name><surname>Arsanjani</surname> <given-names>R</given-names></name> <name><surname>Achenbach</surname> <given-names>S</given-names></name> <name><surname>Gransar</surname> <given-names>H</given-names></name> <name><surname>Cheng</surname> <given-names>VY</given-names></name> <name><surname>Dunning</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Age-related risk ofmajor adverse cardiac event risk and coronary artery disease extent and severity by coronary CT angiography: results from 15 187 patients from the International Multisite CONFIRM Study</article-title>. <source>Eur Heart J.</source> (<year>2014</year>) <volume>15</volume>:<fpage>586</fpage>&#x02013;<lpage>94</lpage>. <pub-id pub-id-type="doi">10.1093/ehjci/jet132</pub-id><pub-id pub-id-type="pmid">24714312</pub-id></citation></ref>
<ref id="B50">
<label>50.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Santopinto</surname> <given-names>JJ</given-names></name> <name><surname>Fox</surname> <given-names>KA</given-names></name> <name><surname>Goldberg</surname> <given-names>RJ</given-names></name> <name><surname>Budaj</surname> <given-names>A</given-names></name> <name><surname>Pi&#x000F1;ero</surname> <given-names>G</given-names></name> <name><surname>Avezum</surname> <given-names>A</given-names></name> <etal/></person-group>. <article-title>Creatinine clearance and adverse hospital outcomes in patients with acute coronary syndromes: findings from the global registry of acute coronary events (GRACE)</article-title>. <source>Heart.</source> (<year>2003</year>) <volume>89</volume>:<fpage>1003</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.1136/heart.89.9.1003</pub-id><pub-id pub-id-type="pmid">12923009</pub-id></citation></ref>
<ref id="B51">
<label>51.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Anavekar</surname> <given-names>NS</given-names></name> <name><surname>Solomon</surname> <given-names>SD</given-names></name> <name><surname>McMurray</surname> <given-names>JJ</given-names></name> <name><surname>Maggioni</surname> <given-names>A</given-names></name> <name><surname>Rouleau</surname> <given-names>JL</given-names></name> <name><surname>Califf</surname> <given-names>R</given-names></name> <etal/></person-group>. <article-title>Comparison of renal function and cardiovascular risk following acute myocardial infarction in patients with and without diabetes melitus</article-title>. <source>Am J Cardiol.</source> (<year>2008</year>) <volume>101</volume>:<fpage>925</fpage>&#x02013;<lpage>9</lpage>. <pub-id pub-id-type="doi">10.1016/j.amjcard.2007.11.037</pub-id><pub-id pub-id-type="pmid">18359309</pub-id></citation></ref>
<ref id="B52">
<label>52.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Libby</surname> <given-names>P</given-names></name></person-group>. <article-title>Inflammation in atherosclerosis</article-title>. <source>Nature.</source> (<year>2002</year>) <volume>420</volume>:<fpage>868</fpage>&#x02013;<lpage>74</lpage>. <pub-id pub-id-type="doi">10.1038/nature01323</pub-id><pub-id pub-id-type="pmid">12490960</pub-id></citation></ref>
<ref id="B53">
<label>53.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Frere</surname> <given-names>C</given-names></name> <name><surname>Cuisset</surname> <given-names>T</given-names></name> <name><surname>Quilici</surname> <given-names>J</given-names></name></person-group>. <article-title>ADP-induced platelet aggregation and platelet reactivity index VASP are good predictive markers for clinical outcomes in nonST elevation acute coronary syndrome</article-title>. <source>Thromb Haemost.</source> (<year>2007</year>) <volume>98</volume>:<fpage>838</fpage>&#x02013;<lpage>43</lpage>. <pub-id pub-id-type="doi">10.1160/TH07-04-0296</pub-id></citation>
</ref>
<ref id="B54">
<label>54.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Price</surname> <given-names>MJ</given-names></name> <name><surname>Endemamm</surname> <given-names>S</given-names></name> <name><surname>Gollapudi</surname> <given-names>RR</given-names></name></person-group>. <article-title>Prognostic significance of postclopidogrel platelet reactivity assessed by a point-of-care assay on thrombotic events after drug-eluting stent implantation</article-title>. <source>Eur Heart J.</source> (<year>2008</year>) <volume>29</volume>:<fpage>992</fpage>&#x02013;<lpage>1000</lpage>. <pub-id pub-id-type="doi">10.1093/eurheartj/ehn046</pub-id><pub-id pub-id-type="pmid">18263931</pub-id></citation></ref>
<ref id="B55">
<label>55.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Aghajani</surname> <given-names>MH</given-names></name> <name><surname>Kobarfard</surname> <given-names>F</given-names></name> <name><surname>Shojaei</surname> <given-names>SP</given-names></name> <name><surname>Ahmadour</surname> <given-names>F</given-names></name> <name><surname>Safi</surname> <given-names>O</given-names></name> <name><surname>Kazemina</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>The impact of clopidogrel resistance on clinical outcome of iranian patients undergoing percutaneous coronary intervention</article-title>. <source>Iran J Pharmacol Res.</source> (<year>2018</year>) <volume>17</volume>:<fpage>1099</fpage>&#x02013;<lpage>104</lpage>. <pub-id pub-id-type="pmid">30127832</pub-id></citation></ref>
<ref id="B56">
<label>56.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xi</surname> <given-names>Z</given-names></name> <name><surname>Fang</surname> <given-names>F</given-names></name> <name><surname>Wang</surname> <given-names>J</given-names></name> <name><surname>AlHelal</surname> <given-names>J</given-names></name> <name><surname>Zhou</surname> <given-names>Y</given-names></name> <name><surname>Liu</surname> <given-names>W</given-names></name></person-group>. <article-title>CYP2C19 genotype and adverse cardiovascular outcomes after stent implantation in clopidogrel-treated Asian populations: A systematic review and meta-analysis</article-title>. <source>Platelets.</source> (<year>2019</year>) <volume>30</volume>:<fpage>229</fpage>&#x02013;<lpage>40</lpage>. <pub-id pub-id-type="doi">10.1080/09537104.2017.1413178</pub-id><pub-id pub-id-type="pmid">29257922</pub-id></citation></ref>
<ref id="B57">
<label>57.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Huang</surname> <given-names>JC</given-names></name> <name><surname>Kuo</surname> <given-names>IC</given-names></name> <name><surname>Tsai</surname> <given-names>YC</given-names></name> <name><surname>Lee</surname> <given-names>JJ</given-names></name> <name><surname>Lim</surname> <given-names>LM</given-names></name> <name><surname>Chen</surname> <given-names>SC</given-names></name> <etal/></person-group>. <article-title>Variability Predicts Major Adverse Cardiovascular Events and Hospitalization in Maintenance Hemodialysis Patients</article-title>. <source>Kidney Blood Press Res.</source> (<year>2017</year>) <volume>42</volume>:<fpage>76</fpage>&#x02013;<lpage>88</lpage>. <pub-id pub-id-type="doi">10.1159/000469716</pub-id><pub-id pub-id-type="pmid">28315879</pub-id></citation></ref>
<ref id="B58">
<label>58.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Biswas</surname> <given-names>M</given-names></name> <name><surname>Kali</surname> <given-names>SK</given-names></name></person-group>. <article-title>Association of CYP2C19 loss-of-function alleles with major adverse cardiovascular events of clopidogrel in stable coronary artery disease patients undergoing percutaneous coronary intervention: meta-analysis</article-title>. <source>Cardiovasc Drugs Ther.</source> (<year>2021</year>). <pub-id pub-id-type="doi">10.1007/s10557-021-07142-w</pub-id><pub-id pub-id-type="pmid">33523336</pub-id></citation></ref>
<ref id="B59">
<label>59.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Jeong</surname> <given-names>YH</given-names></name> <name><surname>Tantry</surname> <given-names>US</given-names></name> <name><surname>Kim</surname> <given-names>IS</given-names></name> <name><surname>Koh</surname> <given-names>JS</given-names></name> <name><surname>Kwon</surname> <given-names>TJ</given-names></name> <name><surname>Park</surname> <given-names>Y</given-names></name> <etal/></person-group>. <article-title>Effect of CYP2C19<sup>&#x0002A;</sup>2 and <sup>&#x0002A;</sup>3 loss-of-function alleles on platelet reactivity and adverse clinical events in east asian acute myocardial infarction survivors treated with clopidogrel and aspirin</article-title>. <source>Circ Cardiovasc Interv.</source> (<year>2011</year>) <volume>4</volume>:<fpage>585</fpage>&#x02013;<lpage>94</lpage>. <pub-id pub-id-type="doi">10.1161/CIRCINTERVENTIONS.111.962555</pub-id><pub-id pub-id-type="pmid">22045970</pub-id></citation></ref>
<ref id="B60">
<label>60.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Shahabi</surname> <given-names>P</given-names></name> <name><surname>Siest</surname> <given-names>G</given-names></name> <name><surname>Meyer</surname> <given-names>UA</given-names></name> <name><surname>Visvikis-Siest</surname> <given-names>S</given-names></name></person-group>. <article-title>Human cytochrome P450 epoxygenases: Variability in expression and role in inflammation-related disorders</article-title>. <source>Pharmacol Ther.</source> (<year>2014</year>) <volume>144</volume>:<fpage>134</fpage>&#x02013;<lpage>61</lpage>. <pub-id pub-id-type="doi">10.1016/j.pharmthera.2014.05.011</pub-id><pub-id pub-id-type="pmid">24882266</pub-id></citation></ref>
<ref id="B61">
<label>61.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Spector</surname> <given-names>AA</given-names></name> <name><surname>Kim</surname> <given-names>HY</given-names></name></person-group>. <article-title>Cytochrome P450 epoxygenase pathway of polyunsaturated fatty acid metabolism</article-title>. <source>Biochim Biophys Acta.</source> (<year>2015</year>) <volume>1851</volume>:<fpage>356</fpage>&#x02013;<lpage>65</lpage>. <pub-id pub-id-type="doi">10.1016/j.bbalip.2014.07.020</pub-id><pub-id pub-id-type="pmid">25093613</pub-id></citation></ref>
<ref id="B62">
<label>62.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Xu</surname> <given-names>X</given-names></name> <name><surname>Li</surname> <given-names>R</given-names></name> <name><surname>Hoopes</surname> <given-names>SL</given-names></name> <name><surname>Zeldin</surname> <given-names>DC</given-names></name> <name><surname>Wang</surname> <given-names>DW</given-names></name></person-group>. <article-title>The role of cytochrome P450 epoxygenases, soluble epoxide hydrolase, and epoxyeicosatrienoic acids in metabolic diseases</article-title>. <source>Adv Nutr.</source> (<year>2016</year>) <volume>7</volume>:<fpage>1122</fpage>&#x02013;<lpage>8</lpage>. <pub-id pub-id-type="doi">10.3945/an.116.012245</pub-id><pub-id pub-id-type="pmid">28140329</pub-id></citation></ref>
<ref id="B63">
<label>63.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Dharma</surname> <given-names>S</given-names></name> <name><surname>Hapsari</surname> <given-names>R</given-names></name> <name><surname>Siswanto</surname> <given-names>BB</given-names></name> <name><surname>Laarse</surname> <given-names>A</given-names></name></person-group>. <article-title>Blood leukocyte count on admission predicts cardiovascular events in patients with acute non-ST elevation myocardial infarction</article-title>. <source>Int J Angiol.</source> (<year>2015</year>) <volume>24</volume>:<fpage>127</fpage>&#x02013;<lpage>32</lpage>. <pub-id pub-id-type="doi">10.1055/s-0035-1544178</pub-id><pub-id pub-id-type="pmid">26060384</pub-id></citation></ref>
<ref id="B64">
<label>64.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Mohammad</surname> <given-names>AM</given-names></name> <name><surname>Al-Allawi</surname> <given-names>NAS</given-names></name></person-group>. <article-title>CYP2C19 genotype is an independent predictor of adverse cardiovascular outcome in Iraqi patients on clopidogrel post percutaneous coronary intervention</article-title>. <source>J Cardiovasc Pharmacol.</source> (<year>2017</year>) <volume>71</volume>:<fpage>347</fpage>&#x02013;<lpage>51</lpage>. <pub-id pub-id-type="doi">10.1097/FJC.0000000000000577</pub-id><pub-id pub-id-type="pmid">29554005</pub-id></citation></ref>
<ref id="B65">
<label>65.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Tsai</surname> <given-names>IT</given-names></name> <name><surname>Wang</surname> <given-names>CP</given-names></name> <name><surname>Lu</surname> <given-names>YC</given-names></name> <name><surname>Hung</surname> <given-names>WC</given-names></name> <name><surname>Wu</surname> <given-names>CC</given-names></name> <name><surname>Lu</surname> <given-names>LF</given-names></name> <etal/></person-group>. <article-title>The burden of major adverse cardiac events in patients with coronary artery disease</article-title>. <source>BMC Cardiovasc Disord.</source> (<year>2017</year>) <volume>17</volume>:<fpage>1</fpage>&#x02013;<lpage>13</lpage>. <pub-id pub-id-type="doi">10.1186/s12872-016-0436-7</pub-id><pub-id pub-id-type="pmid">28052754</pub-id></citation></ref>
<ref id="B66">
<label>66.</label>
<citation citation-type="journal"><person-group person-group-type="author"><name><surname>Li</surname> <given-names>M</given-names></name> <name><surname>Wang</surname> <given-names>H</given-names></name> <name><surname>Xuan</surname> <given-names>L</given-names></name> <name><surname>Shi</surname> <given-names>X</given-names></name> <name><surname>Zhou</surname> <given-names>T</given-names></name> <name><surname>Zhang</surname> <given-names>N</given-names></name> <etal/></person-group>. <article-title>Associations between P2RY12 gene polymorphisms and risks of clopidogrel resistance and adverse cardiovascular events after PCI in patients with acute coronary syndrome</article-title>. <source>Medicine (Baltimore).</source> (<year>2017</year>) <volume>96</volume>:<fpage>1</fpage>&#x02013;<lpage>6</lpage>. <pub-id pub-id-type="doi">10.1097/MD.0000000000006553</pub-id><pub-id pub-id-type="pmid">28383427</pub-id></citation></ref>
</ref-list>
</back>
</article>