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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Pharmacol.</journal-id>
<journal-title>Frontiers in Pharmacology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Pharmacol.</abbrev-journal-title>
<issn pub-type="epub">1663-9812</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">738562</article-id>
<article-id pub-id-type="doi">10.3389/fphar.2021.738562</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Pharmacology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>The Dynamic Effect of Non-CYP3A4-Metabolized and CYP3A4-Metabolized Statins on Clopidogrel Resistance in Patients With Cerebral Infarction</article-title>
<alt-title alt-title-type="left-running-head">Shi et&#x20;al.</alt-title>
<alt-title alt-title-type="right-running-head">Statins in Cerebral Infarction</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Shi</surname>
<given-names>Hong Ting</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Chen</surname>
<given-names>Yong Yuan</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="fn" rid="fn1">
<sup>&#x2020;</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Li</surname>
<given-names>Xiao Ying</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Luo</surname>
<given-names>Jian Hua</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhong</surname>
<given-names>Guang Hong</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Hu</surname>
<given-names>Jia Jia</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Zhang</surname>
<given-names>Min</given-names>
</name>
<xref ref-type="aff" rid="aff7">
<sup>7</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zhou</surname>
<given-names>Bo Rong</given-names>
</name>
<xref ref-type="aff" rid="aff6">
<sup>6</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1401561/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<label>
<sup>1</sup>
</label>Department of Neurology, The Second Affiliated Hospital of Guangzhou Medical University, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff2">
<label>
<sup>2</sup>
</label>Department of Neurology, The Fifth Affiliated Hospital of Guangzhou Medical University, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff3">
<label>
<sup>3</sup>
</label>Department of Neurology, The Shunde Affiliated Hospital of Jinan University, <addr-line>Shunde</addr-line>, <country>China</country>
</aff>
<aff id="aff4">
<label>
<sup>4</sup>
</label>Department of Neurology, Yangchun People Hospital, <addr-line>Yangchun</addr-line>, <country>China</country>
</aff>
<aff id="aff5">
<label>
<sup>5</sup>
</label>Department of Neurology, Heyuan People Hospital, <addr-line>Heyuan</addr-line>, <country>China</country>
</aff>
<aff id="aff6">
<label>
<sup>6</sup>
</label>Department of Neurology, The Third Affiliated Hospital of Guangzhou Medical University, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<aff id="aff7">
<label>
<sup>7</sup>
</label>Department of Epidemiology and Health Statistics, Guangdong Pharmaceutical University, <addr-line>Guangzhou</addr-line>, <country>China</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/141609/overview">Yan Li</ext-link>, Auckland University of Technology, New&#x20;Zealand</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/164519/overview">Reza Nemati</ext-link>, Canterbury Health Laboratories, New&#x20;Zealand</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/44253/overview">Constantin Mircioiu</ext-link>, Carol Davila University of Medicine and Pharmacy, Romania</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Bo Rong Zhou, <email>zhoubromg@21cn.com</email>
</corresp>
<fn fn-type="equal" id="fn1">
<label>
<sup>&#x2020;</sup>
</label>
<p>These authors share first authorship</p>
</fn>
<fn fn-type="other">
<p>This article was submitted to Drug Metabolism and Transport, a section of the journal Frontiers in Pharmacology</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>06</day>
<month>10</month>
<year>2021</year>
</pub-date>
<pub-date pub-type="collection">
<year>2021</year>
</pub-date>
<volume>12</volume>
<elocation-id>738562</elocation-id>
<history>
<date date-type="received">
<day>05</day>
<month>08</month>
<year>2021</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>09</month>
<year>2021</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2021 Shi, Chen, Li, Luo, Zhong, Hu, Zhang and Zhou.</copyright-statement>
<copyright-year>2021</copyright-year>
<copyright-holder>Shi, Chen, Li, Luo, Zhong, Hu, Zhang and Zhou</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&#x20;terms.</p>
</license>
</permissions>
<abstract>
<p>
<bold>Objective:</bold> To explore the treatment effect of statins used together with clopidogrel on cerebral infarction&#x20;(CI).</p>
<p>
<bold>Methods:</bold> One hundred and thirty non-clopidogrel resistant patients were divided into a dynamic clopidogrel resistant (DCR) group and a continuous Non clopidogrel resistance (NCR) group. Patients were randomly assigned to AC group (atorvastatin 40&#xa0;mg/d &#x2b; clopidogrel, 51 patients) and RC group (rosuvastatin 20&#xa0;mg/d &#x2b; clopidogrel, 47 patients). The patient&#x2019;s platelet aggregation rate (PAR) was measured on visit 0 (baseline), visit 1 (1&#xa0;week after clopidogrel alone treatment), and visits 2 to 4 (one, three, and 6&#xa0;months after clopidogrel plus statins treatment). The platelet reactivity index (PRI) was assessed on visits 0, 2, and 4, and clopidogrel thiol metabolite (H4) levels was measured on visits 2 and 4. DNA sequencing was used to determine <italic>CYP3A4</italic>, <italic>CYP2C9</italic>, and <italic>CYP2C19</italic> genotypes in all patients.</p>
<p>
<bold>Results:</bold> PAR, PRI, and H4 levels, DCR ratio, and the genotype frequencies of <italic>CYP2C9&#x2a;3&#x3b5;C</italic>, <italic>CYP2C19&#x2a;2&#x3b5;A</italic>, and <italic>CYP2C19&#x2a;3&#x3b5;A</italic> of both groups were similar (<italic>p</italic>&#x20;&#x3e; 0.05). <italic>CYP2C19&#x3b5;A</italic> &#x2a;2 and &#x2a;3 were independent risk factors for DCR (<italic>p</italic>&#x20;&#x3c;&#x20;0.05).</p>
<p>
<bold>Conclusion:</bold> Clopidogrel combined with atorvastatin does not affect platelet inhibition and does not increase the incidence of DCR. The incidence of DCR in the Chinese population is high and is related to <italic>CYP2C19&#x3b5;A.</italic>
</p>
</abstract>
<kwd-group>
<kwd>dynamic changes</kwd>
<kwd>CYP3A4-metabolized</kwd>
<kwd>clopidogrel resistance</kwd>
<kwd>statins</kwd>
<kwd>clopidogrel thiol metabolite (H4)</kwd>
<kwd>cerebral infarction</kwd>
</kwd-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Highlights</title>
<p>
<list list-type="simple">
<list-item>
<p>1) The patient&#x2019;s platelet aggregation rate, platelet reactivity index, and clopidogrel thiol metabolite levels of AC group (atorvastatin 40&#xa0;mg/d &#x2b; clopidogrel, 51 cases) and an RC group (rosuvastatin 20&#xa0;mg/d &#x2b; clopidogrel, 47 cases) were similar (<italic>p</italic>&#x20;&#x3e;&#x20;0.05).</p>
</list-item>
<list-item>
<p>2) Compared with the AC group, the dynamic clopidogrel resistant ratio of the RC group and the genotype frequencies of <italic>CYP2C9&#x2a;3&#x3b5;C</italic>, <italic>CYP2C19&#x2a;2&#x3b5;A</italic>, and <italic>CYP2C19&#x2a;3&#x3b5;A</italic> were not significantly different (<italic>p</italic>&#x20;&#x3e; 0.05). <italic>CYP2C19&#x3b5;A</italic> &#x2a;2 and &#x2a;3 were independent risk factors for DCR (<italic>p</italic>&#x20;&#x3c;&#x20;0.05).</p>
</list-item>
<list-item>
<p>3) Clopidogrel combined with atorvastatin (CYP3A4-metabolized) does not affect platelet inhibition by clopidogrel and does not increase the incidence of DCR. The incidence of DCR in the Chinese population is high and is related to <italic>CYP2C19&#x3b5;A.</italic>
</p>
</list-item>
</list>
</p>
</sec>
<sec id="s2">
<title>1 Introduction</title>
<p>Clopidogrel is a common antiplatelet agent and clinical trials have shown that long-term use of clopidogrel can effectively reduce serious cerebrovascular events (<xref ref-type="bibr" rid="B19">Levine et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B1">Amelia et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B20">Ma et&#x20;al., 2019</xref>). However, due to individual differences, cardiovascular and cerebrovascular events still occur in some patients despite regular long-term use of clopidogrel, a phenomenon known as Clopidogrel resistance (CR) (<xref ref-type="bibr" rid="B42">Yi et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B15">Karaz&#xb4;niewicz-&#x141;ada et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B29">Sofi et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B41">Yi et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B44">Zhou et&#x20;al., 2013</xref>). The incidence of CR ranges from 16.8 to 21%, and can reach 44% in TIA and stroke. The results of our previous study showed that the incidence of CR in patients with ischemic stroke was 30.6% (<xref ref-type="bibr" rid="B42">Yi et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B15">Karaz&#xb4;niewicz-&#x141;ada et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B29">Sofi et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B41">Yi et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B44">Zhou et&#x20;al., 2013</xref>).</p>
<p>The incidence of clopidogrel resistance is high and there are many influencing factors (<xref ref-type="bibr" rid="B42">Yi et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B15">Karaz&#xb4;niewicz-&#x141;ada et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B29">Sofi et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B41">Yi et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B44">Zhou et&#x20;al., 2013</xref>). Related studies have shown that in addition to genetic factors, clopidogrel resistance is related to the basis of disease (atherosclerosis, diabetes) and drug combination (<xref ref-type="bibr" rid="B42">Yi et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B15">Karaz&#xb4;niewicz-&#x141;ada et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B29">Sofi et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B41">Yi et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B44">Zhou et&#x20;al., 2013</xref>). In the primary and secondary prevention of cardio-cerebrovascular stroke events, the combination of antiplatelet aggregation drugs and statins has become a fixed combination, and the combination rate is higher than that of antihypertensive drugs and hypoglycemic drugs (<xref ref-type="bibr" rid="B42">Yi et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B15">Karaz&#xb4;niewicz-&#x141;ada et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B29">Sofi et&#x20;al., 2010</xref>; <xref ref-type="bibr" rid="B41">Yi et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B44">Zhou et&#x20;al., 2013</xref>).</p>
<p>Clopidogrel is a drug precursor that is oxidized by CYP450 line (mainly CYP3A4 and CYP3A5) into active metabolites, which irreversibly bind with ADP receptor P2Y12 located on platelets, thus playing an anti-platelet aggregation role (<xref ref-type="bibr" rid="B19">Levine et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B20">Ma et&#x20;al., 2019</xref>). Statins, reductase inhibitors of hydroxymethyl glutaryl Coenzyme A (HMG-COA), It can effectively reduce low density lipoproteins (LDL) and Total cholesterol (TC), and reduce Triglyceride (TG) to a certain extent (<xref ref-type="bibr" rid="B23">Pelliccia et&#x20;al., 2014a</xref>; <xref ref-type="bibr" rid="B17">Kei et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B22">Pan et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B38">Xingyang et&#x20;al., 2018a</xref>; <xref ref-type="bibr" rid="B39">Xingyang et&#x20;al., 2018b</xref>; <xref ref-type="bibr" rid="B36">Xi et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B28">Si et&#x20;al., 2020</xref>). Clinical studies routinely divide statins into those metabolized by CYP3A4 (such as atorvastatin) and those metabolized by non-CYP3A4 (such as rosuvastatin).</p>
<p>Antiplatelet therapy that combines statins has become standard in patients with MACCE. In China, clopidogrel is often used, but physicians have not paid much attention to the drug&#x2013;drug interaction between statins and clopidogrel due to the lack of Chinese data. Therefore, combination therapy with CI patients, using statins and clopidogrel, needs further exploration.</p>
<p>Static clopidogrel resistance refers to clopidogrel resistance that occurs after taking clopidogrel for 1&#xa0;week; dynamic clopidogrel resistance refers to clopidogrel resistance that does not occur after taking clopidogrel for 1&#xa0;week, and clopidogrel resistance occurs after continuing to take the drug. In a previous study, (<xref ref-type="bibr" rid="B44">Zhou et&#x20;al., 2013</xref>) we reported that dynamic CR (DCR) may occur after CI, probably due to the atorvastatin&#x2013;clopidogrel interaction. However, this was only an observation study, and the aim was not to compare the drug&#x2013;drug interactions between different metabolized statins and clopidogrel. Therefore, it has been necessary to design a prospective study to identify the different drug&#x2013;drug interactions between CYP3A4-metabolized and not CYP3A4-metabolized statins and clopidogrel in CI patients. This paper focuses on the dynamic changes of non-CYP3A4-metabolized and CYP3A4-metabolized statins and CR in patients with&#x20;CI.</p>
</sec>
<sec id="s3">
<title>2.Subjects and Methods</title>
<sec id="s3-1">
<title>2.1 Study Design</title>
<p>This randomized, open-label, single-center study aimed to investigate the different drug&#x2013;drug interactions between different metabolized statins and clopidogrel in patients with CI. Some research data (<xref ref-type="bibr" rid="B41">Yi et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B22">Pan et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B38">Xingyang et&#x20;al., 2018a</xref>) has shown that static CR is mainly attributed to genetic polymorphisms, especially receptor gene CYP2C19. Our previous research also (<xref ref-type="bibr" rid="B44">Zhou et&#x20;al., 2013</xref>) demonstrated that the DCR phenomenon occurs as well as static CR. Thus, in this study, static CR was excluded to minimize the influence of genetic factors on CR in CI. 160 Patients with CI received clopidogrel 75&#xa0;mg/day (Sanofi). Their platelet aggregation function was tested using a PL series platelet function analyzer (PL-11) at baseline (pre-therapy) and 1&#xa0;week after clopidogrel treatment, and the platelet aggregation rates (PARs) were calculated. The 30 patients who showed CR were eliminated. The 130&#x20;non-clopidogrel resistant (NCR) patients were randomly given either atorvastatin 40&#xa0;mg/d (Pfizer) plus clopidogrel, or rosuvastatin 20&#xa0;mg/d (AstraZeneca) plus clopidogrel in a 1:1 ratio, and were further divided into a DCR and a continuous NCR (CNCR) group, according to their PAR results at one, three, and 6&#xa0;months. All the subjects were followed up for 6&#xa0;months. If CR occurred with the co-administration of atorvastatin and clopidogrel (the AC group), the subject was switched to rosuvastatin. However, if CR occurred with the co-administration of rosuvastatin and clopidogrel (the RC group), the treatment was withdrawn, and the patients were given aspirin instead, and any major adverse cardiovascular and cerebrovascular events were recorded at 6&#xa0;months (see <xref ref-type="fig" rid="F1">Figure&#x20;1</xref> for the study design). 130 Patients were followed up by telephone or a return visit to ensure compliance with the secondary prevention of CI guidelines in 2011. (<xref ref-type="bibr" rid="B21">Naylor, 2011</xref>).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Study design.</p>
</caption>
<graphic xlink:href="fphar-12-738562-g001.tif"/>
</fig>
<sec id="s3-1-1">
<title>2.1.1 Subjects</title>
<p>All the subjects were recruited at the Third Affiliated Hospital of Guangzhou Medical University between March 2015 and September 2017. The genic and H4 data of all the subjects were completed in May 2018. During this period, 160 patients with various types of CI, who were stable after suffering an acute CI, were recruited. The clinical diagnosis of CI was made in accordance with standards established by the World Health Organization. (<xref ref-type="bibr" rid="B35">The World Health Organiza, 1988</xref>). One week after clopidogrel treatment, 30 cases (18.75%) showed CR and were eliminated from the study, and, thus, 130 cases with NCR remained. During the observation period, 2 cases (1.5%) withdrew due to an allergy, and 30 cases (23%) withdrew because of the financial burden or settlement abroad, so 98 cases (75%) completed all the observations.</p>
<p>A total of 130 patients with first or second onset of acute ischemic stroke hospitalized in the Department of Neurology of the Third Affiliated Hospital of Guangzhou Medical University from March 2015 to September 2017 were selected continuously, and 98 patients (75%) were finally observed. During the observation period, 2 patients (1.5%) withdrew from the observation due to drug allergy. Thirty patients (23%) withdrew from the study due to economic burden and settlement in other places. Inclusion criteria for the ischemic stroke group were as follows: the diagnosis was confirmed by computed tomography (CT) or 3.0T magnetic resonance imaging (MRI) in accordance with the world Health Organization standards. This study was approved by the Ethics Committee of the Third Affiliated Hospital of Guangzhou Medical University, and all patients or their families signed informed consent. 1) All patients with cerebral infarction met the criteria revised by the National Cerebrovascular Disease Conference. 2) Age &#x3e;45 and &#x3c;85; 3) NIHSS score &#x2264;23; 4) Platelet count &#x3e;150 &#xd7; 109/L and &#x3c;500 &#xd7; 109/L; 5) Taking clopidogrel for the first time, or taking aspirin, dipyriddamole, clopidogrel and other antiplatelet aggregation drugs before but stopping for at least 2&#xa0;weeks; 6) did not take statins or had stopped taking statins for 2&#xa0;weeks; 7) The patient and his/her family have informed consent and can adhere to the medication and cooperate with the visitors. Exclusion criteria 1) Patients allergic to clopidogrel, rosuvastatin and atorvastatin; 2) Patients with NIHSS score &#x3e;23 or NIHSS scale problem 1A score of 2 or above are excluded; 3) Patients with atrial fibrillation and ventricular septal defect; 4) Severe damage of heart, liver and kidney function or complicated with hemorrhage, tumor, immune system, respiratory system and other diseases; 5) Patients who have recently taken a proton pump inhibitor. 6) Recent major surgery or serious external injuries; 7) Patients who cannot receive regular outpatient follow-up or patients with poor compliance.</p>
<p>The protocol was approved by the Ethics Committee of the Third Hospital affiliated to Guangzhou Medical University. All the participants provided written informed consent prior to participating in the&#x20;study.</p>
</sec>
<sec id="s3-1-2">
<title>2.1.2 Platelet Function</title>
<p>Blood samples were collected using the double-syringe technique, in which the first 4&#xa0;ml of blood was discarded to avoid spontaneous platelet activation. The platelet function was measured using a PL-11 analyzer (SINNOWA Medical Science &#x26;Technology Co., Nanjing, China) (<xref ref-type="bibr" rid="B37">Xiao et&#x20;al., 2019</xref>) and a flow cytometer (BD Biosciences, USA) (<xref ref-type="bibr" rid="B16">Karina et&#x20;al., 2019</xref>). The PL-11 analyzer system calculated the maximal platelet aggregation rate (PAR) according to the following formula: PAR max (%) &#x3d;(the baseline platelet count&#x2014;the lowest platelet count)/the baseline platelet count &#xd7; 100%. CR was defined as being present when the maximal PAR was &#x2265;55%. A platelet reactivity index (PRI) was calculated using MFIc in the presence of PGE1 alone (PGE1) or PGE1 &#x2b; ADP according to the following calculation: PRI &#x3d; [(MFIc PGE1&#x2014;MFIc (PGE1 &#x2b; ADP) ]/MFIc PGE1 x 100. CR was defined as: post therapy PRI &#x3e; (pretherapy mean PRI&#x2014;at 2 standard deviation).</p>
<p>Principle and method of pl-11 multiparameter platelet multifunction analyzer to detect platelet aggregation function.</p>
<sec id="s3-1-2-1">
<title>The Principle of Measurement</title>
<p>Pl-11 multiparameter Platelet multifunction analyzer mainly measures Platelet aggregation function according to SPCM (continuous Counting Method). The instrument continuously counted the number of platelets in patients before and after the addition of ADP reagent, and evaluated the platelet aggregation function by comparing the change of platelet number and the rate of platelet decline before and after the addition of ADP reagent. MAR Max Aggregation Ratio (%) &#x3d; (original platelet count -- number of aggregated platelets)/original platelet count &#xd7;100%.</p>
</sec>
<sec id="s3-1-2-2">
<title>Operation Steps</title>
<p>
<list list-type="simple">
<list-item>
<p>1) Open the power button of pl-11 multiparameter platelet multifunction analyzer, and the instrument will automatically enter the state of cleaning and self-test for about one minute; After the test is complete, wait until the word &#x201c;Ready&#x201d; is displayed at the top of the screen to start the&#x20;test.</p>
</list-item>
<list-item>
<p>2) Turn on the power button of the thermostatic mixer and adjust the temperature to 37&#xb0;C.</p>
</list-item>
<list-item>
<p>3) Sample preparation: during the test, the indoor temperature should not be lower than 22&#xb0;C, and the test can be started only after mixing samples with a constant temperature blender for 5&#x2013;10&#xa0;min, and the thermostat should be set to 25&#xb0;C. New blood was extracted with 1:9 anticoagulant tube of citrate, and the test was completed within 2&#xa0;h after blood collection. When transferring the sample, you need to handle it gently and do not shake it forcibly.</p>
</list-item>
<list-item>
<p>4) Start testing: The samples shaken by the constant temperature blender are divided into 0.5&#xa0;ml sample tubes with pipette gun, and then open the sample door of the instrument and place the sample tube in the sample position. Press the instrument start button and the instrument starts to operate. The multiparameter platelet analyzer will automatically perform two platelet counts, after which the screen will appear indicating the addition of ADP attractant. At this time, the sample site door will be opened again, and 40&#xa0;ul ADP attractant will be added into the sample tube with a micropipette gun. Attention should be paid to this operation: the sample tube should not be taken out to add inducer. After adding the post-inducer on the tip of the micropipette gun, it should be sucked back and forth 2&#x2013;3&#x20;times to make the inducer fully mixed with the blood sample, and the tip of the micropipette gun should be kept below the blood sample when it is sucked back and forth. The preceding procedure needs to be completed within 1&#xa0;min. After adding inducer, close the side door, press [OK] button, and then press no. 1 button, the instrument will automatically measure 3 times, then the instrument will automatically stop, and the test results will be displayed on the screen. When the words &#x201c;Waiting for test&#x201d; and &#x201c;Ready&#x201d; are displayed again at the top of the screen, the next test can be performed.</p>
</list-item>
</list>
</p>
</sec>
</sec>
<sec id="s3-1-3">
<title>2.1.3 The Assessment of Clinical Characteristics</title>
<p>After admission, the patient&#x2019;s gender, age, and blood pressure were recorded, and the patient&#x2019;s past history, personal history, medication history and family history were carefully questioned. All patients received the National Institutes of Health Stroke Scale (NIHSS) score immediately after admission, and underwent brain CT or MRI examination on the same day. Blood routine examination, coagulation routine examination, biochemical routine examination, blood lipid routine examination, hBA1C and blood glucose examination were performed the next day. Platelet aggregation rates were evaluated before clopidogrel administration (interview 0), 1&#xa0;week after clopidogrel administration (interview 1), 1&#xa0;month after statin administration (interview 2), 3&#xa0;months after statin administration (interview 3), and 6&#xa0;months after statin administration (interview&#x20;4).</p>
<p>All patients were monitored with cranial magnetic resonance imaging scans and routine blood tests (platelet counts, international standardized ratios, glucose and lipid analyses). Hypertension was defined as systolic blood pressure &#x2265;140&#xa0;mmHg and/or diastolic blood pressure &#x2265;90&#xa0;mmHg, and/or the use of antihypertensive drugs. Diabetes was defined as fasting blood glucose &#x2265;7.0&#xa0;mmol/L, or hemoglobin a1c &#x2265; 6.0% and/or a history of diabetes. Hyperlipidemia was defined as total cholesterol &#x2265;5.0&#xa0;mmol/L and low density lipoprotein &#x2265;3.5&#xa0;mmol/L.</p>
</sec>
<sec id="s3-1-4">
<title>2.1.4 Genetic Analysis</title>
<p>All subjects were genotyped for CYP3A4 receptor genes, CYP2C9, and CYP2C19. The reference sequence was found in the National Center for Biotechnology Information, and DNA was extracted from the whole blood samples with a TIANamp Blood DNA Kit (Sigma Corporation, USA) according to the manufacturer&#x2019;s instructions. The primer sequences can be seen in <xref ref-type="table" rid="T1">Table&#x20;1</xref> and the PCR amplification products map in <xref ref-type="fig" rid="F2">Figure&#x20;2</xref>.</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>The primers of&#x20;genes.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Genes</th>
<th align="center">Primers</th>
<th align="center">Product length</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">CYP2C9&#x2a;2</td>
<td align="left">F: CCCTCCTAGTTTCGTTT</td>
<td align="left"/>
</tr>
<tr>
<td align="left">rs1799853</td>
<td align="left">R:GCACAATCATGCCTGTA</td>
<td align="center">376&#xa0;bp</td>
</tr>
<tr>
<td align="left">CYP2C9&#x2a;3</td>
<td align="left">F:TGTCTTATCAGCTAAAGTCCAGG</td>
<td align="center">286&#xa0;bp</td>
</tr>
<tr>
<td align="left">rs1057910</td>
<td align="left">R:CCCGGTGATGGTAGAGGTTT</td>
<td align="left"/>
</tr>
<tr>
<td align="left">CYP2C19&#x2a;2</td>
<td align="left">F:AAAGCAGGTATAAGTC</td>
<td align="center">494&#xa0;bp</td>
</tr>
<tr>
<td align="left">rs4244285</td>
<td align="left">R:CATCCGTAGTAAACAC</td>
<td align="left"/>
</tr>
<tr>
<td align="left">CYP2C19&#x2a;3</td>
<td align="left">F:CACTTTCATCCTGGGCTGTG</td>
<td align="center">292&#xa0;bp</td>
</tr>
<tr>
<td align="left">rs4986893</td>
<td align="left">R:TCTTTTCCAGATATTCACCCCAT</td>
<td align="left"/>
</tr>
<tr>
<td align="left">CYP3A4&#x2a;3</td>
<td align="left">F:CTACTAGTTGAGGGGTGGCC</td>
<td align="center">383&#xa0;bp</td>
</tr>
<tr>
<td align="left">rs4986910</td>
<td align="left">R:TCTTTGGCCCAGAGAACAAA</td>
<td align="left"/>
</tr>
</tbody>
</table>
</table-wrap>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>PCR amplification products&#x20;map.</p>
</caption>
<graphic xlink:href="fphar-12-738562-g002.tif"/>
</fig>
</sec>
<sec id="s3-1-5">
<title>2.1.5 The Determination of Clopidogrel Thiol Metabolite</title>
<p>Five mL of blood was drawn from patient 1 and 6&#x20;months after clopidogrel administration into vacuum systems containing EDTA-K (Yangpu Medical Technology Company, China). Clopidogrel thiol metabolite H4 (H4) was measured by (LC-MS/MS) (<xref ref-type="bibr" rid="B14">Kara&#x17a;niewicz-&#x141;ada et&#x20;al., 2012</xref>) (<xref ref-type="fig" rid="F6">Figure&#x20;6</xref>).</p>
<p>Chromatography-mass spectrometry procedures were as follows.<list list-type="simple">
<list-item>
<p> 1)Setting of blood sample collection time: Blood samples were collected 1&#xa0;month and 6&#xa0;months after clopidogrel administration (75&#xa0;mg or 300&#xa0;mg).</p>
</list-item>
<list-item>
<p> 2)Preparation and use of stabilizer. Preparation: alkylation agent MBP(500&#xa0;mm.L-1): ethyleneglycol solution (20&#xa0;ml)&#x2b;MBP(2.2907&#xa0;g), fully dissolved, refrigerated at 4&#xa0;&#xb0;C for reserve. Use: Blood &#x2b; stabilizer &#x3d; 200:1 (V: V), [final concentration of MBP &#x3d; 2.5&#xa0;mm.L-1], that is, add 25&#xa0;ul of 500&#xa0;mm.L-1 stabilizer MBP per 5&#xa0;ml&#x20;blood.</p>
</list-item>
<list-item>
<p> 3)Specimen pretreatment (sample collection and preservation). Preliminary treatment: The blood samples with stabilizers were immediately centrifuged, 1620&#xa0;<italic>g</italic>&#x20;&#xd7; 10&#xa0;min X 4&#xb0;, and the supernatant and cell precipitate were collected respectively. The supernatant was used for GC/MS analysis, and the cell precipitate was used for gene polymorphism analysis (extracting RNA or DNA for PCR). The supernatant isolated from each sample was separated into EP tubes with 0.5&#xa0;ml for each tube. Divide into several tubes, mark and store at minus 80&#xb0; for later&#x20;use.</p>
</list-item>
<list-item>
<p> 4)Sample processing before machine (mass spectrometry analysis before processing). Take 25&#xa0;&#x3bc;l of sample standard solution or supernatant of sample to be tested using EP tube, add 25&#xa0;&#x3bc;l of internal standard solution, and mix well. Add 250&#xa0;&#x3bc;l of blank plasma and mix well. Next, 450&#xa0;&#x3bc;l of cold acetonitrile is added to precipitate the protein. Swirl for 5&#xa0;min, then centrifuge 22570&#xa0;<italic>g</italic>&#x20;&#xd7; 20&#xb0; for 10&#xa0;min, take the supernatant, filter with mini filter, collect 100&#xa0;ul of filtrate, dry under vacuum 40&#xb0;, obtain dry powder, use 200&#xa0;&#x3bc;l of mobile phase liquid (A &#x2b; B 50: 50, V: V) dissolved, the suspension was centrifuged again at 22570&#x20;g &#xd7; 200&#xb0; for 10&#xa0;min, and 25&#xa0;&#x3bc;l of the supernatant was absorbed for sample injection and GC-MS analysis.</p>
</list-item>
<list-item>
<p> 5)Chromatographic and mass spectrometry analysis. Chromatographic conditions: Chromatographic column was Zorbax Plus C18 Column (100&#xa0;mm/2.1&#xa0;mm, 3.5&#xa0;&#x3bc;m, Agilent Technologies, USA). Mobile phase was acetonitrile (containing 0.1% formic acid): water (containing 0.1% formic acid) (9:1, V/V). Washing balance was as follows: The gradient was as follows:0&#x2013;7&#xa0;min linear from 42 to 90% B, Return from 90 to 42%B and the post time of 5&#xa0;min with 42%B for column Slides bration. The flow rate was 350&#xa0;&#x3bc;l&#xa0;min<sup>&#x2212;1</sup>. Sample volume was 25&#xa0;&#x3bc;l. The column temperature was 40&#xb0;C. The analysis time was 3.2&#xa0;min.</p>
</list-item>
<list-item>
<p> 6)Mass spectrometry conditions: Ion source:ESI &#x2b; electrospray ionization; Detection method: positive ion mode; Scanning methods: multiple response monitoring (MRM); Spray gas: N2 (40 psi); Solvation gas: N<sub>2</sub> (10&#xa0;L/min); Solvent removal gas flow rate: 650&#xa0;L&#xa0;h<sup>&#x2212;1</sup>; Solvent temperature: 300&#xb0;C; Ion source temperature: 120&#xb0;C; Collision chamber gas:&#x20;N<sub>2</sub>
</p>
</list-item>
<list-item>
<p> 7) preparation of mother liquor</p>
<list list-type="simple">
<list-item>
<p>1)Preparation of the original clopidogrel hydrogen sulfate reserve solution: weigh 1&#xa0;mg clopidogrel hydrogen sulfate, add 1&#xa0;ml acetonitrile to make its final concentration 1.0&#xa0;mg/ml, and store in the refrigerator at &#x2212;20&#xb0;C for later&#x20;use.</p>
</list-item>
<list-item>
<p>2)Preparation of active metabolic derivative of clopidogrel (MP-H4) reserve liquid: accurate respectively. Weigh 1&#xa0;mg&#xa0;MP-H4, add 1&#xa0;ml acetonitrile to make its final concentration 1.0&#xa0;mg/ml, and freeze it in the refrigerator at &#x2212;20&#xb0;C for later&#x20;use.</p>
</list-item>
<list-item>
<p>3)Preparation of internal standard piroxicam storage and distribution solution: weigh 1&#xa0;mg piroxicam, add 1&#xa0;ml acetonitrile to dissolve it, make its final concentration 1.0&#xa0;mg/ml, and freeze it in the refrigerator at &#x2212;20&#xb0; for reserve.</p>
</list-item>
</list>
</list-item>
<list-item>
<p>8) Working fluid preparation</p>
<list list-type="simple">
<list-item>
<p>1)Preparation of clopidogrel hydrogen sulfate working solution (0.1&#xa0;mg/ml &#x3d; 100&#xa0;ug/ml &#x3d; 100000&#xa0;ng/ml): 1.0&#xa0;mg/ml mother solution diluted 10&#x20;times with L acetonitrile.</p>
</list-item>
<list-item>
<p>2)Preparation of clopidogrel active metabolic derivative (MP-H4) working solution (0.1&#xa0;mg/ml &#x3d; 100&#xa0;ug/ml &#x3d; 100000ng/ml): 1.0&#xa0;mg/ml mother solution diluted 10&#x20;times with L acetonitrile.</p>
</list-item>
</list>
</list-item>
</list>
</p>
</sec>
<sec id="s3-1-6">
<title>2.1.6 Statistical Analysis</title>
<p>Statistical analysis was performed using the SPSS version 22.0 for Windows (SPSS Inc., USA). Continuous variables, presented as means and standard deviations (mean&#x20;&#xb1; SD), were tested using Student&#x2019;s t&#x20;test. Categorical variables were compared using the Pearson chi-square test. PAR was tested using the general linear model-repeated measurement. H4 was tested using the Sphericity Assumed. Analysis of variance (ANOVA) was used to compare platelet function and H4 changes. Correlation between the genotype and allele frequency distribution differences and the CR were analyzed using multivariate regression models. Multivariable logistic regression analysis analyzed the relationship between DCR and risk factors. <italic>p</italic>&#x20;&#x3c; 0.05 was statistically significant.</p>
</sec>
</sec>
</sec>
<sec id="s4">
<title>3 Results</title>
<sec id="s4-1">
<title>3.1 The Comparison of Patient Demographics</title>
<p>Among the original 160 subjects with CI, 30 cases (18.75%) where CR occurred were eliminated 1&#xa0;week after the clopidogrel treatment had begun, and so 130 cases with NCR remained, with 98 cases completing the six-month follow-up. Thirty-two patients (24.5%) were excluded because of inadequate laboratory monitoring; 14 from the AC group and 18 from the RC group. Dynamic observation was continued in 51 AC cases and in 47 RC cases. There was no significant difference between the AC and RC groups with respect to general demographic information (<italic>p</italic>&#x20;&#x3e; 0.05). Of the 51 AC cases, 32 (62.75%) were male and the mean age was 67.69&#x20;&#xb1; 8.88&#xa0;years, and of the 47 cases in the RC group, 32 (68.09%) were male and the mean age was 65.66&#x20;&#xb1; 11.80&#xa0;years. The AC group and RC groups were comparable with respect to the incidence of co-existing hypertension (68.62 vs 76.60%, respectively), DM (37.25 vs 27.70%) and hyperlipidemia (37.25 vs 36.17%) (all <italic>p</italic>&#x20;&#x3e; 0.05, see <xref ref-type="table" rid="T2">Table&#x20;2</xref>).</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Clinical characteristics of comparison between AC and RC in CI patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Characteristic</th>
<th align="center">ACgroup (<italic>n</italic>&#x20;&#x3d; 51)</th>
<th align="center">RCgroup (<italic>n</italic>&#x20;&#x3d; 47)</th>
<th align="center">Chi-square or t value</th>
<th align="center">
<italic>p</italic> Value</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Age, years</td>
<td align="center">67.69&#x20;&#xb1; 8.88</td>
<td align="center">65.66&#x20;&#xb1; 11.80</td>
<td align="char" char=".">0.967</td>
<td align="char" char=".">0.336</td>
</tr>
<tr>
<td align="left">Male [n (%)]</td>
<td align="center">32 (62.75)</td>
<td align="center">32 (68.09)</td>
<td align="char" char=".">0.308</td>
<td align="char" char=".">0.579</td>
</tr>
<tr>
<td align="left">Smoke [n (%)]</td>
<td align="center">16 (31.37)</td>
<td align="center">12 (25.53)</td>
<td align="char" char=".">0.409</td>
<td align="char" char=".">0.523</td>
</tr>
<tr>
<td align="left">NIHSS score</td>
<td align="center">4.65&#x20;&#xb1; 3.18</td>
<td align="center">5.05&#x20;&#xb1; 2.36</td>
<td align="char" char=".">0.813</td>
<td align="char" char=".">0.510</td>
</tr>
<tr>
<td align="left">Hypertension, n (%)</td>
<td align="center">35 (68.62)</td>
<td align="center">36 (76.60)</td>
<td align="char" char=".">0.778</td>
<td align="char" char=".">0.378</td>
</tr>
<tr>
<td align="left">Diabetes mellitus, n (%)</td>
<td align="center">19 (37.25)</td>
<td align="center">13 (27.70)</td>
<td align="char" char=".">1.024</td>
<td align="char" char=".">0.312</td>
</tr>
<tr>
<td align="left">Hyperlipidemia, n (%)</td>
<td align="center">19 (37.25)</td>
<td align="center">17 (36.17)</td>
<td align="char" char=".">0.012</td>
<td align="char" char=".">0.911</td>
</tr>
<tr>
<td align="left">Calcium antagonists, n (%)</td>
<td align="center">24 (47.06)</td>
<td align="center">22 (46.81)</td>
<td align="char" char=".">0.001</td>
<td align="char" char=".">0.980</td>
</tr>
<tr>
<td align="left">Beta blockers, n (%)</td>
<td align="center">17 (33.33)</td>
<td align="center">15 (31.91)</td>
<td align="char" char=".">0.022</td>
<td align="char" char=".">0.881</td>
</tr>
<tr>
<td align="left">ACEI/ARB, n (%)</td>
<td align="center">15 (29.41)</td>
<td align="center">17 (36.17)</td>
<td align="char" char=".">0.508</td>
<td align="char" char=".">0.476</td>
</tr>
<tr>
<td align="left">Diuretics, n (%)</td>
<td align="center">9 (17.65)</td>
<td align="center">12 (25.53)</td>
<td align="char" char=".">0.903</td>
<td align="char" char=".">0.342</td>
</tr>
<tr>
<td align="left">Sulfonylureas, n (%)</td>
<td align="center">9 (17.65)</td>
<td align="center">10 (21.28)</td>
<td align="char" char=".">0.206</td>
<td align="char" char=".">0.650</td>
</tr>
<tr>
<td align="left">Glycosidase, n (%)</td>
<td align="center">6 (11.76)</td>
<td align="center">6 (12.77)</td>
<td align="char" char=".">0.023</td>
<td align="char" char=".">0.880</td>
</tr>
<tr>
<td align="left">Biguanides, n (%)</td>
<td align="center">6 (11.76)</td>
<td align="center">7 (14.89)</td>
<td align="char" char=".">0.208</td>
<td align="char" char=".">0.648</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>
<bold>AC &#x3d;</bold> atorvastatin; <bold>RC &#x3d;</bold> rosuvastatin; ACEI/ARB &#x3d; angiotensin inhibitors.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4-2">
<title>3.2 The Comparison of Platelet Function</title>
<p>Statistical PAR with PL-11 was analyzed using Mauchly&#x2019;s Test of Sphericity at each visit of the AC and RC groups. It was concluded that since <italic>p</italic>&#x20;&#x3c; 0.05, there was a lack of sphericity, so in this study statistical PAR was tested using the Greenhouse&#x2013;Geisser coefficient correction<bold>.</bold> Comparisons within groups and between groups were performed using the General Linear Model of ANOVA. The AC group and RC group were comparable with respect to PAR at each visit, and there was no significant difference (f &#x3d; 0.049, <italic>p</italic>&#x20;&#x3d; 0.825), suggesting that non-CYP3A4-metabolized and CYP3A4-metabolized statins were not related to DCR. There was a significant difference within groups with respect to PAR at each visit (f &#x3d; 10.823, <italic>p</italic>&#x20;&#x3d; 0.000). At Visit 0, PAR was 40.57&#x20;&#xb1; 8.95% for the AC group and 40.79&#x20;&#xb1; 8.35% for the RC group, compared with 33.91&#x20;&#xb1; 14.11% vs 33.73&#x20;&#xb1; 11.53% at Visit 1, respectively (all <italic>p</italic>&#x20;&#x3c; 0.05, see <xref ref-type="table" rid="T3">Table&#x20;3</xref>). However, prior to taking clopidogrel, and at 1&#xa0;week, 1&#xa0;month, 3&#xa0;months, and 6&#xa0;months after treatment began, the PAR was similar in the AC and RC groups (all <italic>p</italic>&#x20;&#x3e; 0.05, see <xref ref-type="table" rid="T3">Table&#x20;3</xref>).</p>
<table-wrap id="T3" position="float">
<label>TABLE 3</label>
<caption>
<p>Comparison of PAR in different time periods for AC and RC in CI patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">PAR(&#x3c7;&#xb1;S,%)</th>
<th align="center">ACgroup (<italic>n</italic>&#x20;&#x3d; 51)</th>
<th align="center">RCgroup (<italic>n</italic>&#x20;&#x3d; 47)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Visit 0</td>
<td align="char" char="plusmn">40.57&#x20;&#xb1; 8.96</td>
<td align="char" char="plusmn">40.79&#x20;&#xb1; 8.35</td>
</tr>
<tr>
<td align="left">Visit 1</td>
<td align="char" char="plusmn">33.91&#x20;&#xb1; 14.11&#x2a;</td>
<td align="char" char="plusmn">34.20&#x20;&#xb1; 11.47&#x2a;</td>
</tr>
<tr>
<td align="left">Visit 2</td>
<td align="char" char="plusmn">31.01&#x20;&#xb1; 14.48&#x2a;</td>
<td align="char" char="plusmn">30.55&#x20;&#xb1; 12.79&#x2a;</td>
</tr>
<tr>
<td align="left">Visit 3</td>
<td align="char" char="plusmn">31.48&#x20;&#xb1; 13.67&#x2a;</td>
<td align="char" char="plusmn">30.90&#x20;&#xb1; 12.12&#x2a;</td>
</tr>
<tr>
<td align="left">Visit 4</td>
<td align="char" char="plusmn">33.75&#x20;&#xb1; 16.04&#x2a;</td>
<td align="char" char="plusmn">35.98&#x20;&#xb1; 16.34&#x2a;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PAR &#x3d; platelet aggregation rates; Visit 0 &#x3d; Pretherapy; Visit 1 &#x3d; 1&#xa0;week posttreatment clopidogrel; Visit 2 &#x3d; 1&#xa0;month posttreatment clopidogrel plus statin; Visit 3 &#x3d; 3&#xa0;months sposttreatment clopidogrel plus statin; Visit 4 &#x3d; 6&#xa0;months posttreatment clopidogrel plus statin; AC &#x3d; atorvastatin; RC &#x3d; rosuvastatin; &#x2a;<italic>p</italic>&#x20;&#x3c; 0.01 compared with Visit0.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<p>Platelet function was analyzed using the flow cytometric assessment of VASP phosphorylation at Visit 0, 2, and 4 in the AC and RC groups. The analysis of statistical PRI was done in the same way as for statistical PAR. It was found that the PRI of the two groups was similar at each visit (f &#x3d; 0.186, <italic>p</italic>&#x20;&#x3d; 0.667), but there was a significant difference within groups with respect to PRI at each visit (f &#x3d; 294.087, <italic>p</italic>&#x20;&#x3d; 0.000). At Visit 0, it was 71.02&#x20;&#xb1; 10.40% for the AC group vs 71.40&#x20;&#xb1; 10.74% for the RC group (<italic>p</italic>&#x20;&#x3e; 0.05). In the follow-ups at 1&#xa0;month (Visit 2) and 6&#xa0;months (Visit 4), the PRIs of the two groups had decreased significantly from Visit 0. Those of the AC group were 29.23&#x20;&#xb1; 7.91% (Visit 2) vs. 39.29&#x20;&#xb1; 18.44% (Visit 4), those of the RC group were 28.21&#x20;&#xb1; 7.75% (Visit 2) vs 37.85&#x20;&#xb1; 1&#x20;8.67% (Visit 4), (<italic>p</italic>&#x20;&#x3c; 0.05, see <xref ref-type="table" rid="T4">Table&#x20;4</xref>).</p>
<table-wrap id="T4" position="float">
<label>TABLE 4</label>
<caption>
<p>Comparison of PRI in different time periods for AC and RC in CI patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">PRI (&#x203e;&#x3c7;&#xb1;S, %)</th>
<th align="center">ACgroup (<italic>n</italic>&#x20;&#x3d; 51)</th>
<th align="center">RCgroup (<italic>n</italic>&#x20;&#x3d; 47)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">Visit 0</td>
<td align="char" char="plusmn">71.02&#x20;&#xb1; 10.40</td>
<td align="char" char="plusmn">71.40&#x20;&#xb1; 10.74</td>
</tr>
<tr>
<td align="left">Visit 2</td>
<td align="char" char="plusmn">29.23&#x20;&#xb1; 7.91&#x2a;</td>
<td align="char" char="plusmn">28.21&#x20;&#xb1; 7.75&#x2a;</td>
</tr>
<tr>
<td align="left">Visit 4</td>
<td align="char" char="plusmn">39.29&#x20;&#xb1; 18.44&#x2a;</td>
<td align="char" char="plusmn">37.85&#x20;&#xb1; 18.67&#x2a;</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>PRI &#x3d; platelet reactivity index; Visit 0 &#x3d; Pretherapy; Visit 2 &#x3d; 1&#xa0;month posttreatment clopidogrel plus statin; Visit 4 &#x3d; 6&#xa0;months posttreatment clopidogrel plus statin; AC &#x3d; atorvastatin; RC &#x3d; rosuvastatin; &#x2a;<italic>p</italic>&#x20;&#x3c; 0.01 compared with Visit0.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4-3">
<title>3.3 The Comparison of H4</title>
<p>The H4 was unaltered with either atorvastatin or rosuvastatin was added to the treatment with clopidogrel (AC: 36.85&#x20;&#xb1; 11.94&#xa0;ng/ml vs. RC: 34.73&#x20;&#xb1; 12.06&#xa0;ng/ml at Visit 2 [<italic>p</italic>&#x20;&#x3d; 0.384] and AC: 22.76&#x20;&#xb1; 10.24&#xa0;ng/ml vs RC: 20.60&#x20;&#xb1; 7.56&#xa0;ng/ml at Visit 4 [<italic>p</italic>&#x20;&#x3d; 0.241]). However, the H4 was significantly different in the DCR and CNCR groups (DCR: 27.63&#x20;&#xb1; 10.74&#xa0;ng/ml vs. CNCR: 38.21&#x20;&#xb1; 11.31&#xa0;ng/ml at Visit 2 [<italic>p</italic>&#x20;&#x3d; 0.0001] and DCR: 17.98&#x20;&#xb1; 8.26&#xa0;ng/ml vs. CNCR: 22.81&#x20;&#xb1; 9.06&#xa0;ng/ml at Visit 4 [<italic>p</italic>&#x20;&#x3d; 0.027]). As expected, H4 was decreased in all patients at Visit 2 compared with Visit 4 (<italic>p</italic>&#x20;&#x3c; 0.05, see <xref ref-type="table" rid="T5">Table&#x20;5</xref>).</p>
<table-wrap id="T5" position="float">
<label>TABLE 5</label>
<caption>
<p>Comparison of H4 in different time periods in CI patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th rowspan="2" align="left">Group</th>
<th align="center">Visit 2 H4</th>
<th align="center">Visit 4 H4</th>
</tr>
<tr>
<th align="center">(&#x203e;&#x3c7;&#xb1;S, ng/ml)</th>
<th align="center">(&#x203e;&#x3c7;&#xb1;S, ng/ml)</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">DCR (<italic>n</italic>&#x20;&#x3d; 22)</td>
<td align="center">27.63&#x20;&#xb1; 10.74</td>
<td align="center">17.98&#x20;&#xb1; 8.26&#x2a;</td>
</tr>
<tr>
<td align="left">CNCR(<italic>n</italic>&#x20;&#x3d; 76)</td>
<td align="center">38.21&#x20;&#xb1; 11.31</td>
<td align="center">22.81&#x20;&#xb1; 9.06&#x2a;</td>
</tr>
<tr>
<td align="left">T value</td>
<td align="center">3.906</td>
<td align="center">2.244</td>
</tr>
<tr>
<td align="left">
<italic>p</italic> value</td>
<td align="center">0.0001</td>
<td align="center">0.027</td>
</tr>
<tr>
<td align="left">AC (<italic>n</italic>&#x20;&#x3d; 51)</td>
<td align="center">36.85&#x20;&#xb1; 11.94</td>
<td align="center">22.76&#x20;&#xb1; 10.24&#x2a;</td>
</tr>
<tr>
<td align="left">RC (<italic>n</italic>&#x20;&#x3d; 47)</td>
<td align="center">34.73&#x20;&#xb1; 12.06</td>
<td align="center">20.60&#x20;&#xb1; 7.56&#x2a;</td>
</tr>
<tr>
<td align="left">T value</td>
<td align="center">0.874</td>
<td align="center">1.180</td>
</tr>
<tr>
<td align="left">
<italic>p</italic> value</td>
<td align="center">0.384</td>
<td align="center">0.241</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>H4 &#x3d; clopidogrel thiol metabolite; Visit 2 &#x3d; 1&#xa0;month posttreatment clopidogrel plus statin; Visit 4 &#x3d; 6&#xa0;months posttreatment clopidogrel plus statin; DCR &#x3d; dynamic clopidogrel resistance; CNCR &#x3d; continuous none clopidogrel resistance; AC &#x3d; atorvastatin; RC &#x3d; rosuvastatin; &#x2a;<italic>p</italic>&#x20;&#x3c; 0.01 compared with Visit2.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s4-4">
<title>3.4 The Analysis of Genotypes for CYP3A4, CYP2C9, and CYP2C19</title>
<p>No cases of DCR were observed at 1&#xa0;month and 3&#xa0;months, but 22 cases had occurred at 6&#xa0;months. The incidence of DCR was similar in the AC group and RC subgroups (12 vs 10, respectively, <italic>p</italic>&#x20;&#x3d; 0.789). The 12 AC patients were switched to rosuvastatin in combination with clopidogrel for the treatment of DCR, but the PAR (60.67&#x20;&#xb1; 5.13 vs. 59.35&#x20;&#xb1; 3.64, <italic>p</italic>&#x20;&#x3d; 0.224) had not decreased, 1&#xa0;week after changing treatment, and they were still&#x20;CR.</p>
<p>The analyses of the CYP3A4, CYP2C9, and CYP2C19 genotypes are shown in <xref ref-type="table" rid="T6">Table&#x20;6</xref>. The CYP2C9&#x2a;3 genotype was found in four AC patients, and two RC cases (<italic>p</italic>&#x20;&#x3d; 0.548). The CYP2C9&#x2a;3 mutant allelic variant can be seen in <xref ref-type="fig" rid="F5">Figure&#x20;5</xref>. The CYP2C9&#x2a;3&#x20;wild-type (&#x2a;a/&#x2a;a) occurred with a frequency of 93.88% (92/147), while 6.12% (6/98) were heterozygous for CYP2C9&#x2a;3 (&#x2a;a/&#x2a;c), and none of the CYP2C9&#x2a;3 was homozygous (&#x2a;c/&#x2a;c). The CYP2C9&#x2a;3 &#x3b5;C in DCR was higher than CNCR (22.73 vs 1.32%, respectively, <italic>p</italic>&#x20;&#x3d; 0.0002). The AC and RC groups were comparable with respect to CYP2C19&#x2a;2 and &#x2a;3, there being no significant differences (CYP2C19&#x2a;2 for 45.09 vs 46.81% respectively, [<italic>p</italic>&#x20;&#x3d; 0.865] and CYP2C19&#x2a;3 for 9.80 vs 4.26% respectively [<italic>p</italic>&#x20;&#x3d; 0.287]). In 98 patients, 53 patients (54.08%) were wildtype homozygous for the CYP2C19&#x2a;2 (&#x2a;G/&#x2a;G) gene, and 91 patients (92.86%) for the CYP2C19&#x2a;3 gene, while 44 patients (44.90%) were heterozygous for CYP2C19&#x2a;2 (&#x2a;A/&#x2a;G), and 7 patients (7.14%) for CYP2C19&#x2a;3, and 1 patient (1.02%) was homozygous (&#x2a;A/&#x2a;A) for CYP2C19&#x2a;2, and no one for CYP2C19&#x2a;3. The CYP2C19 &#x3b5;A was significantly higher in DCR than CNCR (CYP2C19&#x2a;2 for 81.82 vs 35.53% [<italic>p</italic> &#x3d;&#x20;0.001], and CYP2C19&#x2a;3 for 18.18 vs 3.95% [<italic>p</italic>&#x20;&#x3d; 0.0224]) (see <xref ref-type="table" rid="T6">Table&#x20;6</xref>). Finally, none of the CYP3A4 (&#x2a;T/&#x2a;T) and CYP2C9&#x2a;2 (&#x2a;C/&#x2a;C) was a mutant allelic variant. (For CYP2C19&#x2a;2 mutant allelic variant see <xref ref-type="fig" rid="F3">Figure&#x20;3</xref>, and CYP2C19&#x2a;3 mutant allelic variant see <xref ref-type="fig" rid="F4">Figure&#x20;4</xref>).</p>
<table-wrap id="T6" position="float">
<label>TABLE 6</label>
<caption>
<p>Analysis of genotypes for CYP3A4, CYP2C9 and CYP2C19 in CI patients.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Group</th>
<th align="center">CYP2C9&#x2a;3 [n (%)]</th>
<th align="center">CYP2C19&#x2a;2 [n (%)]</th>
<th align="center">CYP2C19&#x2a;3 [n (%)]</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">DCR (<italic>n</italic>&#x20;&#x3d; 22)</td>
<td align="center">5 (22.73)</td>
<td align="center">18 (81.82)</td>
<td align="center">4 (18.18)</td>
</tr>
<tr>
<td align="left">CNCR(<italic>n</italic>&#x20;&#x3d; 76)</td>
<td align="center">1 (1.32)</td>
<td align="center">27 (35.53)</td>
<td align="center">3 (3.95)</td>
</tr>
<tr>
<td align="left">T value</td>
<td align="center">13.609</td>
<td align="center">14.723</td>
<td align="center">5.212</td>
</tr>
<tr>
<td align="left">
<italic>p</italic> value</td>
<td align="center">0.0002</td>
<td align="center">0.0001</td>
<td align="center">0.0224</td>
</tr>
<tr>
<td align="left">AC (<italic>n</italic>&#x20;&#x3d; 51)</td>
<td align="center">4 (7.84)</td>
<td align="center">23 (45.09)</td>
<td align="center">5 (9.80)</td>
</tr>
<tr>
<td align="left">RC (<italic>n</italic>&#x20;&#x3d; 47)</td>
<td align="center">2 (4.26)</td>
<td align="center">22 (46.81)</td>
<td align="center">2 (4.26)</td>
</tr>
<tr>
<td align="left">T value</td>
<td align="center">0.548</td>
<td align="center">0.029</td>
<td align="center">1.135</td>
</tr>
<tr>
<td align="left">
<italic>p</italic> value</td>
<td align="center">0.459</td>
<td align="center">0.865</td>
<td align="center">0.287</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>DCR &#x3d; dynamic clopidogrel resistance; CNCR &#x3d; continuous none clopidogrel resistance; AC &#x3d; atorvastatin; RC &#x3d; rosuvastatin</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>CYP2C19&#x2a;2 mutant allelic variant map. ABC is the mutation sequence, and the arrow shows the mutation site (AA/AG/GG), where AA/AG is the mutant gene.</p>
</caption>
<graphic xlink:href="fphar-12-738562-g003.tif"/>
</fig>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>CYP2C19&#x2a;3 mutant allelic variant map. AB is the mutation sequence, the arrow is the mutation site (AA/GG), where AG is the mutant gene.</p>
</caption>
<graphic xlink:href="fphar-12-738562-g004.tif"/>
</fig>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>CYP2C9&#x2a;3 mutant allelic variant map. AB is the mutation sequence, and the arrow is the mutation site (AA/AC), where AC is the mutant gene.</p>
</caption>
<graphic xlink:href="fphar-12-738562-g005.tif"/>
</fig>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Clopidogrel thiol metabolite (H4) map.</p>
</caption>
<graphic xlink:href="fphar-12-738562-g006.tif"/>
</fig>
</sec>
<sec id="s4-5">
<title>3.5 Adverse Events</title>
<p>The primary safety endpoint occurred in 10 (10.20%) of the study population within the 6&#xa0;months. There were 3 lacunar cerebral infarctions (2 in the AC group, 1 in the RC group), 3 elevated liver enzyme cases (2 AC, 1 RC), and 4 elevated muscle enzyme cases (2 AC, 2 RC). There was no significant difference between the AC and RC groups with respect to these adverse events (<italic>p</italic>&#x20;&#x3e;&#x20;0.05).</p>
</sec>
</sec>
<sec id="s5">
<title>4 Discussion</title>
<p>The results of this study concerning statins are in line with previous research findings. (<xref ref-type="bibr" rid="B11">Gulec et&#x20;al., 2005</xref>; <xref ref-type="bibr" rid="B2">An et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B31">Takashi et&#x20;al., 2020</xref>). Lau et&#x20;al. reported that atorvastatin could reduce clopidogrel activation by 90% and reduce the clopidogrel antiplatelet effect, attracting wide attention. As with our findings, observational studies by Ke A et&#x20;al. and Gulec et&#x20;al., <xref ref-type="bibr" rid="B11">Gulec et al., 2005</xref>; <xref ref-type="bibr" rid="B2">An et al., 2019</xref>) found that clopidogrel combination with atorvastatin increased adverse cardiac events in coronary stent implantation patients compared with vastvastatin. Other studies (<xref ref-type="bibr" rid="B3">Blagojevic et al., 2009</xref>; <xref ref-type="bibr" rid="B34">Wenaweser et al., 2010</xref>; <xref ref-type="bibr" rid="B32">Tirkkonen et al., 2013</xref>; <xref ref-type="bibr" rid="B24">Pelliccia et al., 2014b</xref>; <xref ref-type="bibr" rid="B13">Jin et al., 2017</xref>) did not confirm the effect of cyp3a4 metabolism on the clopidogrel antiplatelet effect. Even considering our findings, fewer studies have been reported on the dynamics of clopidogrel resistance, and practical differences need to be further explored. This study aimed to evaluate the difference in dynamic clopidogrel resistance between rosuvastatin 20&#xa0;mg/d and atorvastatin 40&#xa0;mg/d in patients with cerebral infarction. This study provided patients with a free platelet aggregation test using PL-11 and flow cytometry.</p>
<p>In this study, clopidogrel was used in combination with rosuvastatin or atorvastatin, and the PAR showed a gradually declining trend from visit 0 to visit 4. It was also found that the AC group and RC group were comparable with respect to the PAR at each visit, and there was no significant difference. It was concluded that clopidogrel and atorvastatin or rosuvastatin are safe when used in combination for the treatment of CI patients.</p>
<p>VASP (<xref ref-type="bibr" rid="B16">Karina et&#x20;al., 2019</xref>) is an intracellular platelet protein that is non-phosphorylated at the basal state. It was also observed that for clopidogrel in combination with atorvastatin or rosuvastatin there was no reduction in the platelet inhibition of clopidogrel and no increase in platelet activity. The PRI was similar in the RC group and RC subgroups at visits 0, 2 and 4. This result also suggested that CYP3A4-metabolized statins are not related to&#x20;DCR.</p>
<p>Clopidogrel (<xref ref-type="bibr" rid="B6">Dansette et&#x20;al., 2012</xref>; <xref ref-type="bibr" rid="B18">Laizure et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B45">Zhu et&#x20;al., 2013</xref>) is a predrug that requires biotransformation of the liver to play a pharmacological role. The active metabolites of clopidogrel contain a sulfate group that irreversibly binds to free cysteine in the P2Y12 receptor and prevents the activation of ADP. In humans, most drugs (85&#x2013;90%) are metabolized as carboxylic acid metabolites through carboxylate estase, the main metabolite of circulation in the blood. Although this metabolite is inactive, for years, plasma determination in plasma has been used to indirectly study the pharmacokinetics of clopidogrel with only a small fraction of the drug mediated two-step activation process by cytochrome P450 (CYP450). This hydrolysis pathway competes with the formation of active metabolites catalyzed by the liver CYP450 enzymes. Clopidogrel is metabolized by CYP450 enzyme to form inactive intermediates 2-oxo-clopidogrel, and in the human body is further metabolized by CYP450 enzyme to form three sulfate metabolites, of which only H4 metabolites have antiplatelet effects.</p>
<p>Some statins are similar to clopidogrel, metabolized by CYP3A4, while others do not by CYP3A4 (<xref ref-type="bibr" rid="B11">Gulec et&#x20;al., 2005</xref>; <xref ref-type="bibr" rid="B2">An et&#x20;al., 2019</xref>; <xref ref-type="bibr" rid="B31">Takashi et&#x20;al., 2020</xref>), so clopidogrel-statatin interactions can be analyzed by H4 concentrations in the blood. This study used proven HPLC-mass spectrometry combination techniques to determine H4. This study found that there was no change in the serum concentrations of clopidogrel active metabolites when atorvastatin or reassuvastatin was added in clopidogrel therapy. This study showed that neither atorvastatin nor resuvastatin altered clopidogrel-mediated platelet aggregation inhibition.</p>
<p>A large number of studies (<xref ref-type="bibr" rid="B12">Hou et&#x20;al., 2014</xref>; <xref ref-type="bibr" rid="B27">Serbin et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B40">Yang et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B5">Danielak et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B7">Dorota et&#x20;al., 2017</xref>) suggest that a variety of genetic and non-genetic factors may affect clopidogrel resistance phenomena. CYP3A4 and CYP2C19 are the most important CYP450 isozymes that activate clopidogrel. Most notably, CYP2C19 deficiency alleles such as &#x2a; 2 and &#x2a; 3 are associated with poor clopidogrel reactions, lower concentrations of H4 metabolites and higher clinical adverse events in nongenetic factors, while statiins are associated with adverse cardiovascular events Furthermore, lower active metabolites exposure was observed when cyp3a4 metabolized statin (especially atorvastatin and risuvastatin) are administered with cyp3a4 metabolized statin (atorvastatin and risuvastatin) Clopidogrel. Other genetic polymorphisms that occur in gene sequences are also considered to be a potential factor for a variable clopidogrel reaction. As shown in the literature, CYP2C9 genotypes may be related to the lower expression of the parent drug (<xref ref-type="bibr" rid="B5">Danielak et&#x20;al., 2017</xref>) for the DNA sequence analysis of CYP3A4, CYP2C9, and CYP2C19. CYP2C9 was found that C and CYP2C19 &#x3b5;A in DCR were higher than CNCR, suggesting that the presence of CYP2C9 and CYP2C19 alleles reduces platelet inhibition of clopidogrel and increases the incidence of DCR and clinical adverse events. Similarly, in a previous study, (<xref ref-type="bibr" rid="B44">Zhou et&#x20;al., 2013</xref>) showed that CYP2Y19&#x3b5;A was a risk factor for CR. However, the AC and RC groups are comparable in CYP2C9 and CYP2C19, with no significant differences. Non-cyp3a4 is considered to be a mutant allele variant.</p>
<p>According to our data, clopidogrel combined with atorvastatin or vastvastatin does not affect platelet inhibition of clopidogrel and does not increase the incidence of DCR, so cyp3a4 nonmetabolic and cyp3a4 metabolic statins are not associated with DCR. One explanation for this effect may be that drug interactions are affected by many factors. Clopidogrel is metabolized by CYP450, with multiple isoenzymes involved, such as CYP1A2, CYP2C9, CYP2D6, and CYP3A5, but the two most important isoenzymes, CYP3A4 and CYP2C19, are not involved. (<xref ref-type="bibr" rid="B27">Serbin et&#x20;al., 2016</xref>; <xref ref-type="bibr" rid="B40">Yang et&#x20;al., 2016</xref>). The combination of CYP3A4 and CYP2C19 inhibitors may not be sufficient to affect the metabolism of clopidogrel. Furthermore, statin doses used clinically may not reach the saturation concentrations of CYP3A4 and CYP2C19 and therefore do not produce competitive inhibition, which may be part of the results of our&#x20;study.</p>
<p>This study also showed that when DCR occurred after CI, the incidence of DCR resistance was 22.45%, which was related to CYP2C9 &#x3b5;C and CYP2C19 &#x3b5;A. At week 1, there were 30 cases (18.75%) of static CR, compared with our previous study, (<xref ref-type="bibr" rid="B44">Zhou et&#x20;al., 2013</xref>) where the incidence of staticCR was 28.6%, the total CR (static CR and DCR) rate being 38.8%. CHANCE&#x2019;s (<xref ref-type="bibr" rid="B33">Wang et&#x20;al., 2013</xref>) reported that the benefits of dual antiplatelet therapy come mainly from patients in CR with poor metabolizer of CYP2C19 gene. In addition to the use of aspirin, some patients treated with clopidogrel did not show an adequate antiplatelet response in dual antiplatelet therapy. Some studies (<xref ref-type="bibr" rid="B10">Fohner et&#x20;al., 2013</xref>; <xref ref-type="bibr" rid="B26">Sang et&#x20;al., 2017</xref>; <xref ref-type="bibr" rid="B43">Zhong-ling et&#x20;al., 2018</xref>) have shown that CYP2C19 and CYP2C9 genes are the dominant metabolic enzymes in the CYP450 metabolic enzymes of eastern populations, while the CYP2D6 gene is the dominant metabolic enzyme in western populations. It may be that the differences in genetic metabolic enzymes can lead to significantly higher static CR and DCR in eastern populations. The Prevention Regimen for Effectively Avoiding Second Strokes and Clopidogrel Versus Aspirin in Patients at Risk of Ischemic Events (<xref ref-type="bibr" rid="B4">Steering Committee, 1996</xref>; <xref ref-type="bibr" rid="B25">Sacco et&#x20;al., 2008</xref>) trials found that clopidogrel has an advantage over aspirin in preventing recurrent cerebral infarction (an 8.7% advantage), but these results were all using western demographics, and head-to-head studies of aspirin and clopidogrel in eastern populations are lacking. It is still not clear how effective aspirin and clopidogrel are in these populations. Thus, further studies concerning the clinical risk of DCR are needed, as well as the monitoring of DCR occurrence, and the analysis of genetic-related risk factors for stroke recurrence throughout the course of treatment.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Data Availability Statement</title>
<p>The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding author.</p>
</sec>
<sec id="s7">
<title>Ethics Statement</title>
<p>The studies involving human participants were reviewed and approved by the Ethics Committee of The Third Affiliated Hospital of Guangzhou Medical University (2014 [93]). The patients/participants provided their written informed consent to participate in this study. Written informed consent was obtained from the individual(s) for the publication of any potentially identifiable images or data included in this article.</p>
</sec>
<sec id="s8">
<title>Author Contributions</title>
<p>Conception and design of the research: BZ Acquisition of data: YC, XL, JL, GZ, and JH Statistical analysis: HS and MZ Obtaining financing: BZ Writing of the manuscript: HS Critical revision of the manuscript for intellectual content: HS and BZ All authors read and approved the final&#x20;draft.</p>
</sec>
<sec id="s9">
<title>Funding</title>
<p>This study was funded by the AstraZeneca international horizontal single center research project (ESR-14-10092) of Guangdong Province, China. The funding body had no role in the design of the study and collection, analysis, and interpretation of data and in writing the manuscript.</p>
</sec>
<sec sec-type="COI-statement" id="s10">
<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="s11">
<title>Publisher&#x2019;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>
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