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Influence of genetic polymorphisms in P2Y12 receptor signaling pathway on antiplatelet response to clopidogrel in coronary heart disease

BMC Cardiovascular Disorders volume 22, Article number: 575 (2022) Cite this article

Abstract

Backgrounds

Remarkable interindividual variability in clopidogrel response is observed, genetic polymorphisms in P2RY12 and its signal pathway is supposed to affect clopidogrel response in CHD patients.

Methods

539 CHD patients treated with clopidogrel were recruited. The platelet reaction index (PRI) indicated by VASP-P level were detected in 12–24 h after clopidogrel loading dose or within 5–7 days after initiation of maintain dose clopidogrel. A total of 13 SNPs in relevant genes were genotyped in sample A (239 CHD patients). The SNPs which have significant differences in PRI will be validated in another sample (sample B, 300 CHD patients).

Results

CYP2C19*2 increased the risk of clopidogrel resistance significantly. When CYP2C19*2 and CYP2C19*3 were considered, CYP2C19 loss of function (LOF) alleles were associated with more obviously increased the risk of clopidogrel resistance; P2RY12 rs6809699C > A polymorphism was also associated with increased risk of clopidogrel resistance (AA vs CC: P = 0.0398). This difference still existed after stratification by CYP2C19 genotypes. It was also validated in sample B. The association was also still significant even in the case of stratification by CYP2C19 genotypes in all patients (sample A + B).

Conclusion

Our data suggest that P2RY12 rs6809699 is associated with clopidogrel resistance in CHD patients. Meanwhile, the rs6809699 AA genotype can increase on-treatment platelet activity independent of CYP2C19 LOF polymorphisms.

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Introduction

Atherosclerosis thrombosis can lead to the development of acute coronary syndrome (ACS) and acute myocardial infarction, which is a severe threat to human health. The number of deaths caused by coronary atherosclerosis alone accounts for one-seventh of all-cause deaths worldwide [1]. Because the platelet activation plays an essential role in the formation of thrombus in atherosclerosis thrombosis, antiplatelet therapy has established as a cornerstone in the treatment of coronary heart disease (CHD). Clopidogrel, a P2Y12 receptor antagonist, is recommended to be widely used in patients suffered from acute coronary syndrome (ACS) and post percutaneous coronary intervention (PCI) to prevent future thrombotic events. However, the evidence shows that about 5–44% of patients treated with the standard dose of clopidogrel failed to display an adequate antiplatelet aggregation response [2]. As a result, patients with clopidogrel resistance (CR) may show an increased risk of recurrent adverse cardiovascular events [3]. The variability in clopidogrel response is explained by multiple independent factors including genetic polymorphisms [4].

Clopidogrel is a prodrug that requires two steps of bioactivation via cytochromes P450 (CYP) to form the active thiol derivative. CYP2C19 plays a crucial role in its bioactivation. Genetic polymorphisms that result in remarkable interindividual variability in CYP2C19 activity have been observed. Especially, the CYP2C19 loss-of-function (LOF) variants, such as CYP2C19*2 and CYP2C19*3, can decrease the AUC of the clopidogrel active metabolite, and patients carrying these variant alleles show higher on-treatment platelet activity and increased risk of atherothrombotic events [5,6,7]. The American Food and Drug Administration (FDA) even announced a black boxed warning on clopidogrel about CYP2C19*2 and CYP2C19*3.

The active thiol derivative metabolite of clopidogrel acts through competing with the soluble platelet agonist adenosine 5-diphosphate (ADP) for the platelet P2Y12 receptor. The inhibition of the P2Y12 receptor will lead to the inhibition of the integrin glycoprotein IIb/IIIa (GPIIb/IIIa) complex on the platelet surface, which is called integrin “inside-out” signaling process [8]. Activation of the integrin αIIbβ3 stimulates platelet adhesion and aggregation and triggers “outside-in” signaling, resulting in platelet spreading, additional granule secretion, stabilization of platelet adhesion and aggregation, and clot retraction [9]. Several proteins are involved in the P2Y12-integrin αIIbβ3 activation pathway. Upon P2Y12 activation, the P2Y12-coupled Gi protein can activate phosphatidylinositol-3-kinase (PI3K, encoded by PIK3CA) in platelets, which in turn activates the small GTPase Rap1, a critical mediator of integrin GPIIb/IIIa activation [10,11,12]. Calcium and diacylglycerol-guanine nucleotide exchange factor 1 (CalDAG-GEF1) is responsible for the conversion of Rap1 from the inactive GDP-bound form to the active GTP-bound form, the latter could interact with the Rap1-GTP-interacting adaptor molecule (RIAM) [13]. Talin, encoded by the TLN1 gene, is a ∼ 270 kDa cytoskeleton adaptor protein contains a globular head region that directly links β-integrin. The binding of talin with integrin is the necessary final step for integrin activation [14]. While RIAM, encoded by the gene APBB11P, functions as a scaffold that connects the membrane targeting sequence in Rap1 to talin, thereby recruiting talin to the plasma membrane and activating integrins [15]. A study on an inherited platelet disorder in siblings using whole-exome sequencing has identified a culprit mutation (cG742T) in RASGRP2, the gene coding for CalDAG-GEFI, to be causative [16]. Platelets from individuals with the mutation showed reduced ability to activate Rap1 and improper αIIbβ3 integrin inside-out signaling [16]. The aIIb subunit (GPIIb) and the β3 (GPIIIa) are encoded by ITGA2B and ITGB3, respectively. Single nucleotide polymorphisms (SNPs) in ITGA2B and ITGB3 were found to be associated with indexes of platelet and coagulation hemostasis in healthy Chinese people [17]. Similarly, our previous study in healthy Chinese subjects has also demonstrated that the ITGA2B rs5911 polymorphism can increase the effect of ticagrelor on ADP-induced platelet aggregation [18]. Moreover, the associations between polymorphisms P2RY12 polymorphisms (T744C, G52T) and platelet response are also reported [19, 20].

A study has shown that the use of P2Y12 inhibitor monotherapy, as an alternative approach to DAPT, in patients undergoing coronary revascularization. P2Y12 inhibitor monotherapy was associated with similar risks of death, myocardial infarction, or stroke and lower risks of major bleeding compared with DAPT [21].

However, there was a paucity of studies on other genes in platelet related to the P2Y12 receptor signaling pathway and clopidogrel response. Hence, our study was designed to elucidate the degree of crucial genetic polymorphisms related to the P2Y12 receptor signaling pathway on the clopidogrel resistance in Chinese CHD patients.

Materials and methods

Study subjects

A total of 539 consecutive CHD patients treated with clopidogrel from Xiangya Hospital, Central South University from September 2014 to November 2018 in this prospective clinical study. The age of the patients ranged from 18 to 80 years. These samples were divided into discovery (n = 239) and validation (n = 300) sets. All patients received dual antiplatelet therapy (DAPT) with aspirin and oral administration of 300 mg loading dose (LD) clopidogrel, or 75 mg daily maintaining dose (MD) of clopidogrel for at least 5 days. Venous blood samples were drawn in 6:00–7:00 Am 12–24 h after LD of clopidogrel or on day 5–7 after the initiation of MD of clopidogrel for analysis of platelet reaction index (PRI) and DNA extraction. Subjects were excluded if they had a history of a bleeding disorder, current warfarin use, myelodysplastic or myeloproliferative disorders, chronic liver disease or hypersensitivity to clopidogrel. Subjects were also excluded if they were pregnant, with platelet count less than 105 cell/mm3 (thrombocytopenia), or creatinine clearance less than 25 mL/min, or prior use of GPIIb/IIIa antagonist before the procedure. Questionnaires and medical records were used to collect family and medical history, age, gender, smoking and alcohol habits, diabetic status and other disease complications, co-medications, platelet count, mean platelet volume (MPV), and physical activities. Patients were followed up by telephone interviewers using standardized questionnaires. The primary endpoint of this study was major adverse cardiac events (MACE), defined as a composite of cardiac death, myocardial infarction (MI), and repeat target vessel revascularization. The study protocols were approved by the Ethics Committee of Central South University (No. CTXY-140002-13) and followed the Declaration of Helsinki. It was also registered on the Chinese Clinical Trial Registry (http://www.chictr.org.cn) (ChiCTR-OPN-15006260). Informed consent was signed by all subjects after explanation on the aims and benefits of this research project.

Vasodilator-stimulated phosphoprotein-phosphorylation (VASP-P) assay

PRI was detected within 24 h after blood is drawn. To avoid platelet activation induced by needle puncture, the initial first blood millimeters were discarded. Blood samples were immediately collected in a vacutainer tube containing 3.8% trisodium citrate, filled to capacity, and analyzed immediately. A standardized flow cytometric assay (Platelet VASP®; Diagnostica Stago, Biocytex, Marseille, France) was used to determine the VASP-P level in whole blood according to the standard protocols [22]. Briefly, 10 μL blood sample was incubated with PGE1 or with PGE1 + ADP for 10 min and fixed with paraformaldehyde, after which the platelets were permeabilized with non-ionic detergent. The cells were labeled with a primary monoclonal antibody against serine 239-phosphorylated VASP (16C2), followed by a secondary fluorescein isothiocyanate-conjugated polyclonal goat anti-mouse antibody. The total duration of the preparation was within 30 min after blood sampling. Analyses were then performed on EPICS XL-MCL flow cytometer (Beckman Coultronics, Margency, France). The platelet population was identified from its forward and side scatter distribution and 10,000 platelets were gated for each sample. Platelet reactivity index (PRI) was calculated from the median fluorescence intensity (MFI) of samples with the formula:

$${\text{PRI}}\;\left( \% \right) = \, [\left( {{\text{MFI}}_{{{\text{PGE}}1}} - {\text{MFI}}_{{{\text{PGE1}} + {\text{ADP}}}} /{\text{ MFI}}_{{{\text{PGE}}1}} } \right) \times 100\% .$$

SNP selection and genotyping

Genomic DNA was purified from peripheral blood leukocytes by Wizard® Genomic DNA Purification Kit (Promega Corperation). A total of 13 SNPs in 8 genes including P2RY12 (rs2046934, rs6809699), PIK3CA (rs67562832, rs67562832), RASGRP2 (rs2230414), APBB1IP (rs11015149), TLN1 (rs2295795, rs10814270), ITGB3 (rs3785873, rs58847127), ITGA2B (rs3760364) and CYP2C19 (rs4244285/CYP2C19*2, rs4986893/ CYP2C19*3) were selected in our study. The SNPs selected were either reported to be clinically relevant or htSNPs indicated by Haploview analysis (www.broad.mit.edu/mpg/haploview/index.php) with a frequency > 5% in the 1000 genomes project for 97 Chinese Han Beijing (CHB) individuals (www.1000genomes.org). Details of the SNPs were shown in Table 1. Method of polymerase chain reaction-restriction fragment length polymorphism (PCR–RFLP) was used for CYP2C19*2 and CYP2C19*3 genotyping as described previously [23]. The other SNPs were genotyped by Sequenom’s MassARRAY assay (Sequenom, San Diego, California, USA). Genotypes of 10% of the samples were verified by PCR-based sequencing. All selected SNPs were genotyped in discovery samples (239 CHD patients). The SNPs which have significant differences in PRI will be validated in validation samples(300 CHD patients).

Table 1 Information of 13 SNPs selected in this study
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Statistical analysis

Statistical analysis was performed using SPSS Statistics 19.0 (SPSS Inc., Chicago, USA). Continuous variables were presented as mean ± standard deviation (SD). The unpaired two-sided Student's t-test was used to compare normally distributed continuous data between two groups, and comparisons of difference in PRI among genotypes were carried out by one-way ANOVA test under the co-dominant model. The Benjamini–Hochberg procedure was performed to control the false discovery rate for multiple testing. χ2-test was used to compare categorical variables between/among groups. Unconditional logistic regression was used to assess the association between genotypes and clopidogrel resistance, odds ratios (OR) and the 95% confidence intervals (CI) were calculated and adjusted by the covariates. The Non-CR group was been defined as control group. Association analyses were conducted under three genetic models, including co-dominant, dominant, and recessive. Given D is the major allele and d is the minor allele for an SNP, the co-dominant model means DD versus Dd versus dd, the dominant model means DD versus Dd + dd, while the recessive model means DD + Dd versus dd. Statistical significance was defined as P < 0.05.

Results

Baseline characteristics of study patients and genotyping

From 2014 to 2018, a total of 539 eligible CHD patients with clopidogrel treatment were recruited in this study (Table 2). According to PRI from VASP-P assay, the patients were categorized into clopidogrel resistance (CR, PRI > 50%) and non-CR (PRI≦50%) [24, 25]. Among the patients, 351 (65.12%) were classified as CR, and 188 (34.88%) were classified as non-CR. There was no significant difference between the two groups regarding age, gender, smoking and alcohol administration habits, disease complications (diabetes, hypertension, dyslipidemia), co-medications (proton pump inhibitor, calcium channel blocker, statin, morphine), platelet count and MPV (P > 0.05). Meanwhile, the difference between the groups with 300 mg LD or 75 mg/d MD was not also statistically significant (P > 0.05, Table 3). So we combined patients with LD and MD as a whole in the subsequent analysis. Patients in the CR group showed significantly higher mean PRI value than the non-CR group (P = 1.0 × 10−43).

Table 2 Baseline characteristics of 539 patients in clopidogrel resistance and non-resistance groups
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Table 3 Distribution genotypes and allele frequencies and the candidate SNPs between CR and non-CR patients
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Association of candidate SNPs with clopidogrel response

Genotype distribution of the 13 studied SNPs in the CR and non-CR groups were summarized in Table 3. Fitness to Hardy–Weinberg equilibrium was observed for each of the SNP (P > 0.05). The significant difference in genotype distribution for the CYP2C19*2 polymorphism (co-dominant P = 0.020, recessive P = 0.031, and dominant P = 0.000), the P2Y12 rs6809699 polymorphism (co-dominant P = 0.043, recessive P = 0.115, and dominant P = 0.021) and the APBB11P rs11015149 polymorphism (co-dominant P = 0.024 and recessive P = 0.023) was observed between CR and non-CR patients (Table 3). However, the Benjamini–Hochberg adjusted P values is higher than the false discovery rate (0.05) except the dominant P Value of CYP2C19*2 (data not shown). Carriers of the CYP2C19*2 allele (57.0% vs 42.2%, CR vs non-CR, P = 0.026) and the P2RY12 rs6809699 A allele (24.1% vs 14.0%, CR vs non-CR, P = 0.053) was obviously over-represented in the clopidogrel CR group. The frequency of carriers of the CYP2C19*3 allele trended to be increased in clopidogrel CR patients (11.8% vs 6.9%, CR vs non-CR, P = 0.227), though a significant difference was obtained. No difference in genotype distribution of other SNPs was observed between CR and non-CR groups (P > 0.05). And there was no association between the genetic polymorphisms and the occurrence of major adverse cardiovascular events (MACE) among the patients has been observed (Additional file 1: Table S1).

Unconditional logistic analysis was carried out for SNPs showed a significant difference in genotype distribution between clopidogrel CR and no-CR patients. After adjusted for dyslipidemia and concomitant use of statins and proton pump inhibitors, our results showed that patients with CYP2C19*2/*2 genotype showed significantly increased risk of CR (OR 7.406, 95% CI 0.894–61.361; P = 0.063) as compared with CYP2C19*1/*1homozygotes. When both CYP2C19 LOF alleles (*2 and *3) were considered, CYP2C19 poor metabolizers (PMs, CYP2C19*2/*2 or CYP2C19*2/*3 or CYP2C19*3/*3) showed significantly increased risk of CR (OR 4.599, 95% CI 1.221–17.320, P = 0.024) as compared with wild-type homozygous for both SNPs. Patients carrying the P2RY12 rs6809699 CA genotype or the rs6809699 A allele also showed significantly increased risk of CR (CA vs CC genotype: OR 2.270, 95% CI 1.019–5.059, P = 0.045; CA + AA vs CC genotype: OR 2.636, 95% CI 1.199–5.796; P = 0.016). The APBB11P rs11015149 polymorphism showed no association with clopidogrel response (P > 0.05). (Table 4).

Table 4 Logistic analysis of the association of gene polymorphisms and clopidogrel response
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Combined influence of CYP2C19 LOF and P2RY12 rs6809699 polymorphism on on-treatment PRI

Mean PRI among CYP2C19 genotypes were shown in Fig. 1. Patients were grouped into EMs, IMs, and PMs according to carrying status of the CYP2C19*2 and CYP2C19*3 alleles. In the discovery samples and all samples, PM patients showed significantly higher PRI than IM and EM patients, respectively. The influence of CYP2C19*2 polymorphism on PRI was observed, which was not found in CYP2C19*3 polymorphism (Table 5).

Fig. 1
figure 1

Comparison of platelet reactivity index (PRI) in CHD patients among CYP2C19*2 and CYP2C19*2 and *3 genotype groups in discovery samples (A) and all subjects (B)

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Table 5 Comparison of platelet reactivity index (PRI) in CHD patients among CYP2C19*2 and *3 genotype groups
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For the P2RY12 rs6809699 genotypes, these patients with mutant homozygous AA (n = 4) were showed significantly higher PRI than the wild-type CC (n = 183) and heterozygous CA (n = 40) genotype groups (P = 0.0081 and 0.0094, respectively, Fig. 2A). In consideration that the influence of P2RY12 rs6809699 on clopidogrel response might be affected by CYP2C19 LOF, stratification analysis according to CYP2C19 genotypes was further performed. As shown in Fig. 2A, rs6809699 AA homozygotes showed significantly higher PRI than patients carrying both the rs6809699 CC and the rs6809699 CA genotypes (P = 0.0096 and 0.0036, respectively). Only one patient with the AA genotype in carriers of the CYP2C19 LOF limited statistical analysis in these patients, but the tendency remained. Then the rs6809699 was validated in all subjects (discovery and validation samples) (Fig. 2).

Fig. 2
figure 2

Comparison of PRI in CHD patients among P2RY12 rs6809699 genotypes stratified by CYP2C19 genotypes in discovery samples (A, B) and all subjects (C, D)

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Discussion

In this study, we evaluated the effects of genetic polymorphisms in the P2Y12 receptor-mediated signaling pathway and CYP2C19 on clopidogrel antiplatelet response in Chinese CHD patients. We observed that CYP2C19*2 and *3 and P2Y12 rs6809699 polymorphisms were associated with an increased risk of clopidogrel resistance indicated by platelet VASP-P level.

Clopidogrel is a prodrug that needs to be bioactivated in two sequential cytochrome P450-dependent steps before it exerts an inhibitory effect on ADP-induced platelet aggregation. According to the literature, the prevalence of clopidogrel resistance among the Asian population was estimated at 17.2–81.6% [26]. In this study, a total of 539 consecutive Chinese patients with coronary heart disease were recruited and found that 65.1% patients had clopidogrel resistance. CYP2C19 activity is reported to be crucial in the metabolism and efficacy of clopidogrel. CYP2C19 LOF alleles, including *2 and *3 can decrease the plasma concentration and AUC0–24 h of the active metabolite of clopidogrel, which results in impaired antiplatelet effect of clopidogrel [6, 24]. A recent meta-analysis has concluded that CYP2C19 LOF is associated with increased risk of adverse clinical events in patients who underwent clopidogrel therapy despite differences in clinical significance according to ethnicity [7]. In support of these previous reports, we observed that patients with the CYP2C19*1/*1 genotype showed significantly lower PRI than the CYP2C19*2 heterozygous and homozygous genotypes. Besides, we found that carriers of any of the *2 and *3 alleles showed increased clopidogrel resistance. Our findings further confirmed the pivotal role of CYP2C19*2 and *3 as pharmacogenomics markers for clopidogrel response. In the 2013 updated Clinical Pharmacogenetics Implementation Consortium Guidelines for CYP2C19 Genotype and Clopidogrel Therapy, CYP2C19 genotype-guided clopidogrel therapy was recommended to ACS patients underwent PCI [27]. Standard dosing of clopidogrel is warranted among ACS/PCI patients with a predicted CYP2C19 extensive metabolizer phenotype (*1/*1). If genotyping identifies a patient as a CYP2C19 weak metabolizer phenotype (*2/*2, *2/*3 and *3/*3), the use of an alternative antiplatelet agent (e.g., prasugrel or ticagrelor) is recommended if not clinically contraindicated.

ADP is an essential activator of platelet and acts via P2Y1 (Gq-coupled) and P2Y12 (Gi-coupled) receptors. The Gq-coupled P2Y1 receptor is vital in Ca2+ mediated platelet shape change, while the Gi-coupled P2Y12 receptor is required for ADP-induced platelet activation [28]. The active metabolite of clopidogrel binds to the P2Y12 receptor irreversibly and inhibits ADP-mediated platelet activation and aggregation. The role of the P2RY12 genetic polymorphisms in clopidogrel response has been assessed previously [19, 20, 29,30,31,32]. Evidence shows that the P2RY12 T744C (rs2046934) polymorphism is associated with enhanced platelet aggregation and increased risk of atherothrombosis [19, 30]. However, Thomas et al. failed to replicate this observation with platelet activity assessed by either ADP-Ag (P = 0.39), or PRI VASP-P (P = 0.97), or P-selectin expression (P = 0.62) in 597 NSTE ACS patients [27]. Other studies also come to negative findings [31, 32]. In agreement with the latter investigators, we did not find any association between the P2RY12 T744C and clopidogrel resistance either.

The P2RY12 G52T (rs6809699) was also shown to be associated with increased risk of clopidogrel resistance and cardiovascular events in Chinese ACS patients after PCI [20]. In support of this report, we observed that CHD patients with the P2RY12 rs6809699 CA genotype or carriers of the rs6809699 A allele showed an increased risk for clopidogrel resistance with an OR of 1.729 and 2.017, respectively. After stratification by CYP2C19*2 and *3 carrying status, the P2RY12 rs6809699 polymorphism remained to be associated with increased platelet activity. As the rs6809699 polymorphism is a synonymous SNP (Gly12Gly) does not result in amino acid change, the exact function of this SNP deserved further investigation.

Abnormality in GPIIb/IIIa complex is reported in Glanzmann’s thrombasthenia patients with impaired platelet aggregation and increased bleeding [33]. The ITGB3 PlA1/A2 polymorphism (rs5918) results in a leucine (PlA1) to proline (PlA2) substitution in exon2 was observed [34]. This SNP has been extensively studied and is shown to be associated with both antiplatelet drug resistance and increased cardiovascular events [35, 36]. Because the prevalence of the PlA2 allele is low in the Chinese population, the SNP was not included in our study. Two other SNPs, including rs3785873 and rs58847127 at the ITGB3 locus were investigated in our study. However, no significant findings were obtained for these two SNPs. A healthy subjects study showed that ITGA2B rs3760364 were related to bleeding time [17], but we failed to find the association between ITGA2B rs3760364 and platelet activity.

In our study, we also observed that the APBB11P rs11015149 A allele was significantly over-represented in CR than non-CR patients, but this difference was disappeared after adjusted for statins use and dyslipidemia. The other 6 selected SNPs in genes in the P2Y12-mediated signaling pathway (PIK3CA rs67562832 and rs67562832, RASGRP2 rs2230414, APBB1IP rs11015149, TLN1 rs2295795, and rs10814270) also showed no association with clopidogrel resistance. It remains unknown whether genetic factors in other alternative pathways playing compensatory roles in GPIIb/IIIa inside-out signaling could affect clopidogrel response.

Although the CYP2C19 genotyping had been widely recommended when considering clopidogrel for cardiovascular indications, it remains undetermined that P2RY12 polymorphisms associated with clopidogrel resistance. In our study, we reconfirmed the impact of CYP2C19*2, *3 and P2RY12 rs6809699 polymorphisms on impaired antiplatelet effects of clopidogrel in Chinese CHD patients. It suggested that P2RY12 genetic polymorphisms may serve as biomarkers for clopidogrel response. Meanwhile, we found the increased risk of clopidogrel resistance in CYP2C19*1/*1 homozygous who carrying the P2RY12 rs6809699 A allele. This may, at least partially, explain that some CYP2C19 CYP2C19*1/*1 homozygous were still resistant to clopidogrel. Therefore, construction of a comprehensive prediction model of clopidogrel responsiveness based on clinical factors and multiple gene polymorphisms, including CYP2C19 and P2RY12 polymorphisms, has more clinical significance for guiding the precise medication of clopidogrel.

Limitations of the study include a relatively small sample size. As exemplified by only 4 patients with P2RY12 rs6809699 mutant AA genotype in our study, further studies are warranted to verify the impact of P2RY12 rs6809699 polymorphisms on antiplatelet effects of clopidogrel. Secondly, platelet function testing was done with only a single assessment of platelet function, VASP-P assay, which may not be sufficient to fully reflect the response to antiplatelet therapy. Finally, follow-up data is warranted to understand the influence of the positively associated SNPs on the endpoint events and outcome of CHD patients with long-time clopidogrel therapy.

Conclusions

This study confirms the impact of CYP2C19*2, *3 and P2RY12 rs6809699 polymorphisms on impaired antiplatelet effects of clopidogrel in Chinese CHD patients. Moreover, the influence of P2RY12 rs6809699 on clopidogrel response is independent of CYP2C19 LOF alleles. But SNPs in other genes in the P2Y12 receptor pathway were not associated with antiplatelet effects of clopidogrel. A study with a larger sample size is required to confirm the association of the P2RY12 rs6809699 with adverse ischemic events in patients receiving clopidogrel therapy. And also, the exact function of P2RY12 rs6809699 on P2Y12 expression or function is needed.

Availability of data and materials

The first author can be contacted if the raw data are needed. The email address of the first author is dongjieli@csu.edu.cn.

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Acknowledgements

Not applicable.

Funding

This project was supported by the National Science and Technology Major Project (2013ZX09509107), National Natural Science Foundation of China (No.81373489, No. 81422052, and No. 81403018), Funds of Hunan Provincial Education Department (12K006).

Author information

Author notes

  1. Yan-Jiao Zhang and Dong-Jie Li have contributed equally to this work

Authors and Affiliations

  1. Anhui Province Maternity & Child Health Hospital, Hefei, 230000, Anhui, People’s Republic of China

    Yan-Jiao Zhang

  2. Department of Clinical Pharmacology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People’s Republic of China

    Yan-Jiao Zhang, Dong-Jie Li, Xiao-Lei Hu, He Li & Xiao-Ping Chen

  3. Institute of Clinical Pharmacology, Central South University, Hunan Key Laboratory of Pharmacogenetics, Changsha, 410078, Hunan, People’s Republic of China

    Yan-Jiao Zhang, Dong-Jie Li, Xiao-Lei Hu, He Li & Xiao-Ping Chen

  4. Department of Urology, Xiangya Hospital, Central South University, Changsha, 410008, People’s Republic of China

    Dong-Jie Li

  5. National Clinical Research Center for Geriatric Disorders, Changsha, 410008, People’s Republic of China

    Dong-Jie Li, Xiao-Lei Hu & Xiao-Ping Chen

  6. Department of Urology, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People’s Republic of China

    Zhong-Yi Li

  7. Hunan Cancer Hospital, The Affiliated Cancer Hospital of Xiangya School of Medicine, Central South University, Changsha, 410013, People’s Republic of China

    He Li

  8. Department of Cardiovascular Medicine, Xiangya Hospital, Central South University, Changsha, 410008, Hunan, People’s Republic of China

    Qi-Lin Ma

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  1. Yan-Jiao Zhang
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Contributions

Xiao-Ping Chen contributed to the conception of the study; Zhongyi Li and Xiao-Lei Hu contributed significantly to analysis and manuscript preparation; Dongjie Li and Yan-Jiao Zhang performed the data analyses and wrote the manuscript; He Li and Qi-Lin Ma helped perform the analysis with constructive discussions. All authors read and approved the final manuscript.

Corresponding author

Correspondence to Xiao-Ping Chen.

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Ethics approval and consent to participate

The study protocols were approved by the Ethics Committee of Central South University (No. CTXY-140002-13) and followed the Declaration of Helsinki. It was also registered on the Chinese Clinical Trial Registry (http://www.chictr.org.cn) (ChiCTR-OPN-15006260). Informed consent was obtained from all subjects involved in the study.

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The authors declare no conflict of interest.

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Supplementary Information

Additional file 1: Table S1

. Distribution genotypes and allele frequencies and the candidate SNPs between patients with and without MACE.

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Zhang, YJ., Li, DJ., Li, ZY. et al. Influence of genetic polymorphisms in P2Y12 receptor signaling pathway on antiplatelet response to clopidogrel in coronary heart disease. BMC Cardiovasc Disord 22, 575 (2022). https://doi.org/10.1186/s12872-022-02988-w

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  • DOI: https://doi.org/10.1186/s12872-022-02988-w

Keywords

  • Genetic polymorphisms
  • P2Y12
  • Coronary heart disease

BMC Cardiovascular Disorders

ISSN: 1471-2261

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