Abstract
Background
Clopidogrel is an inactive prodrug, it catalyzed into its active form by Cytochrome 450 and Paraoxonase-1(PON-1). polymorphisms of genes encoding these enzymes will affect the efficacy of Clopidogrel. The main objective of our study was to investigate the association of CYP2C19*2, CYP2C19*3 and PON-1Q192R polymorphisms with Clopidogrel resistance and major adverse cardiac events in Jin Hua district in the middle of Zhe Jiang Province in China.
Methods
One hundred sixty coronary heart disease patients with percutaneous coronary intervention, who were followed-up for 1 year, were enrolled in our study. These patients were co-administered aspirin 100 mg/d and clopidogrel 75 mg/d following a loading dose of 300 mg. The ADP-induced platelet aggregation rate was measured by Platelet aggregator. Genotypes of CYP2C19*2, CYP2C19*3, PON-1Q192R were determined using Sanger sequencing in all patients. Various clinical data were collected.
Results
The frequencies of CYP2C19*2, CYP2C19*3 and PON-1Q192R homozygous mutant genotypes were significantly lower in non-responders than those in responders. After for all variables, CYP2C19*2, CYP2C19*3 and PON-1Q192R independently increased the risk of clopidogrel resistance with adjusted ORs 46.65(95% CI,1.77–25.04; p = 0.005); 22.74(95% CI, 3.11–166.27; p = 0.002); 5.69 (95% CI,1.06–30.47; p = 0.042). Over a follow-up of 12 months, the incidence of major adverse cardiac events (MACE) in CYP2C19*1/*2, *1/*3, *2/*2, *2/*3 was significantly higher than no mutant genotype (18/40vs.2/63,3/9vs.2/63, 11/6vs.2/63, 7/1vs2/63, respectively). There was no significant correlation between PON-1Q192R mutant allele and MACE.
Conclusion
Our study was first time to report on CYP2C19 and PON-1 polymorphisms in Jin Hua population in the middle of Zhe Jiang province in China. The carriage of CYP2C19*2 or *3 mutant allele significantly reduced the platelet response to clopidogrel and increase the MACE. The carriage of PON-1 mutant allele also significantly reduced the platelet response to clopidogrel, but would not increase the major adverse cardiac events after 1 year follow-up.
Trial registration
ChiCTR, ChiCTR1800018316. Registered 11 September 2018 – prospective registered, http://www.chictr.org.cn/edit.aspx?pid=30927&htm=4.
Keywords: Cytochrome 450, Paraoxonase-1, Polymorphism, Clopidogrel resistance, Major adverse cardiac events
Background
Coronary Heart Disease (CHD) is a significant cause of morbidity and mortality in the world [1]. Percutaneous Coronary Intervention (PCI) is the principal revascularization strategy employed in the treatment of CHD [2]. Dual antiplatelet therapy (DAPT), with aspirin and Clopidogrel, is a basis for the care of patients after percutaneous coronary intervention (PCI) [3]. Despite adequate antiplatelet therapy, up to 10% of patients will still experience a recurrent acute ischemic event, this is probably because of significant interindividual variability in the clopidogrel response [4, 5] .
Clopidogrel is an inactive prodrug. The absorption of Clopidogrel is mainly limited by P Glycol-.
protein (P-gp) which is encoded by ABCB1.Then it undergoes 2 sequential oxidative stages in order to be active. Firstly, clopidogrel catalyzed by Cytochrome 450 (CYP2C19, CYP2B6, CYP1A2) into 2-oxo-clopidogrel, then CYP3A4, CYP2C9 and the Paraoxonase (PON-1) enzyme transform 2-oxo-clopidogrel into its active form [6–8].It has been confirmed that CYP2C19 is the most important enzyme involved in clopidogrel response. Whereas genetic polymorphism of CYP2B6, CYP3A4, CYP2C9 showed minor effects on clopidogrel response [9]. Here, we mainly studied the association between PON-1Q192R, CYP2C19*2, CYP2C19*3 allelic variants and clopidogrel response. Several studies have been confirmed that carriers of the allelic variant (CYP2C19*2) is correlated with adverse cardiovascular events and low clopidogrel response [10, 11]. whereas studies about the relevance between the allelic variant of CYP2C19*3, PON-1 Q192R and the clopidogrel response are discrepancy [12–15]. Moreover, the polymorphism of CYP2C19 and PON-1 varies considerably with both geographical location and ethnic group [16].In addition, To our knowledge, there are no studies about the relationship between genetic polymorphisms and clopidogrel resistance among the CHD patients in Jin Hua in the middle of Zhe Jiang province in China. The aim of our study was to determine the association between the allelic variant of CYP2C19*2, CYP2C19*3, PON-1 Q192R and clopidogrel resistance and major adverse cardiac events (MACE) among CHD patients in the middle of Zhe Jiang province in China.
Methods
Study population
This study was approved by the Ethics Committee of Zhe Jiang Provincial Jin Hua Municipal Central Hospital, China. 160 Chinese Han patients who were born in Jin Hua and diagnosed as CHD scheduling to undergo PCI were recruited into our study. We have calculated the sample size before the study by Quanto software. Power calculation was performed by Quanto software. Assuming a allele frequency of 0.33 and disease prevalence of 5–26%, we had 80% power to detect genetic effects at an OR of 2.25 under an additive model in our samples. All the patients took 300 mg clopidogrel and 300 mg Aspirin before PCI, then they persistent on 75 mg/day clopidogrel and 100 mg Aspirin for 12 months. The inclusion criteria were: (1) Chinese Han CHD patients undergoing PCI who was born in Jin Hua (2) patients who never took clopidogrel before enrolled. The exclusion criteria were (1) patients who were allergic with Clopidogrel and Aspirin; (2) patients who experienced the bleeding and cerebrovascular disease before the last 6 months; (3) patients with severe renal and hepatic function failure;(4) patients who can live less than 12 months;(5)patients with large surgery within 1 month.
DNA extraction
We collect the blood samples in EDTA tubes and stored at − 80 °C. The extraction procession was following the manufacturer’s recommendations of the whole blood genomic DNA extraction kit (Tiangen biotech company, Bei Jing, China).
Platelet aggregation assays
Blood samples for platelet function testing were done before and 7 days after PCI. Blood samples(3 ml) were collected in the tube containing 10 [9] μmol/L sodium citrate. The platelet-rich plasma (PRP) and the platelet-poor plasma (PPP) were separated by centrifuged. The PPP and PRP samples were heated to 37 °C for 3 min, then 20 μmol/L of ADP was added to the samples to measure platelet aggregation rate (PAR). (PAR before-PAR after)/ PAR before was used to calculate the platelet aggregation inhibition rate (PAIR). When PAIR is less than 10%, we considered these patients as clopidogrel resistance.
Genotyping assay
Genotyping of the CYP2C19*2, CYP2C19*3 and PON-1Q192R were accomplished by polymerase chain reaction (PCR). The primer sequences for PCR were as below: for CYP2C19*2, forward primer 5`-ACCAGAGCTTGGCATATTGTATCT-3`, reverse primer 5`-GATTCTTGGTGTTCTTTTACTTTCT-3`, 192 bp; for CYP2C19*3, forward primer 5`- TTTCATCCTGGGCTGTGCTC-3`reverse primer 5`-TGTACTTCAGGGCTTGGTCAAT-3`, 234 bp; for PON-1, forward primer 5`-AAGGCTCCATCCCACATCT-3’and reverse primer 5`- CATCGGGTGAAATGTTGATT − 3`, 312 bp. PCR amplification was done by a S1000 Peltier thermal cycler (Biorad, USA) in the following conditions: Firstly, denaturing at 94 °C for 5 min, followed by 35 cycles including at 94 °C about 30 s, at 60 °C (CYP2C19*2), 54 °C (CYP2C19*3), 58 °C (PON-1Q192R) for 30s, 72 °C for 30s. Finally, extending at 72 °C for 10 min. All these PCR products were sequenced (Hangzhou Qing ke Biotechnology Co., Ltd., Hangzhou, China). According to the CYP2C19 genotype, these patients were categorized into three groups: normal metabolizers (*1/*1), intermediated metabolizers (*1/*2, *1/*3) and poor metabolizers (*2/*2, *2/*3, *3/*3). On the basis of the PON-1Q192R genotype, these patients also could be divided into QQ(AA) genotype, QR(AG) genotype, RR(GG) genotype.
Follow-up
Patients were followed up at the 6, 12 months after PCI. The incidence of recurrent angina, nonfatal MI, cerebral stroke, stent thrombosis, and sudden cardiac death were recorded as the main endpoints. The patients were consulted face to face or by telephone.
Statistical analyses
The deviation between genotype distribution and Hardy-Weinberg equilibrium (HWE) was analyzed by the Chi-square test. The linkage disequilibrium(LD) analysis was performed by Haploview and the haplotypes analysis was conducted by SHEsis (available on line http://analysis.bio-x.cn/myAnalysis.php). Mean ± SD was used to express the continuous data, the categorical data presented as percentage. The comparisons among different groups were performed by one way analysis of variance (ANOVA). Whereas, Chi square and Fisher’s exact test were suitable for the categorical variable. p < 0.05 means there are statistically significant among different groups. Both Univariable and multivariable logistic regression analyses were used to analysis the relationship between the genotypes of PON1 Q192R, CYP2C19*2 CYP2C19 *3 and clopidogrel resistance. All these analyses were using SPSS 23.
Results
Genotype results of CYP2C19 and PON-1
CYP2C19 and PON-1 genotypes were assayed in 160 patients. The distribution of CYP2C19*2, CYP2C19*3, PON Q192R allelic and genotype frequency are shown in Table 1, Fig. 1. It seems no significantly difference between our results and the Hardy-Weinberg equilibrium (p = 0.553, p = 0.152 and p = 0.4, respectively).
Table 1.
Genotype distribution and allele frequency of CYP2C19*2、*3、PONQ192R
| genotype(n/%) | Allele frequency(n/%) | HWE | ||||
|---|---|---|---|---|---|---|
| GG | GA | AA | G | A | ||
| CYP2C19*2 | 78(48.75) | 65(40.62) | 17(10.63) | 221(69.06) | 99(30.94) | 0.533 |
| CYP2C19*3 | 140(87.5) | 20(12.5) | 0(0) | 300(93.75) | 20(6.25) | 0.152 |
| PONQ192R | 73(45.62) | 64(40) | 23(14.38) | 210(65.62) | 110(34.38) | 0.4 |
p < 0.05 was considered significant. HWE Hardy-Weinberg equilibrium
Fig. 1.
Sequence of CYP2C19*2, CYP2C19*3 and PON-1Q192R. Sequence chromatogram of CYP2C19*2, CYP2C19*3 and PON-1Q192R. SNPs are indicated by arrows
Baseline characteristics of participants
All the enrolled patients were divided into clopidogrel-resistant group(n = 40) (PAIR≤10%) and clopidogrel-responded group(n = 120) (PAIR≥10%). The baseline characteristics of these two groups were concluded in Table 2. The average age of these patients were 62.35 ± 12.76 years(male vs female: 75.63% vs 24.37%). Among these patients, almost 70% of the patients presented with acute myocardial infarction (AMI). Most of the patients (91.25%) were intervened with drug-eluting stents. The baseline of demographics, clinical presentations and drug combinations were similar between the clopidogrel responded group and the clopidogrel-resistant group (p > 0.05) except for the incidence of diabetes and smoking(P < 0.05). The genotype distribution of CYP2C19*2, *3 and PON1 Q192R among these two groups were showed in Table 3, No mutant homozygous of CYP2C19*3 genotype was found in our study. The proportion of CYP2C19*1/*1 genotype frequency was obviously higher in clopidogrel responded group (50.83% vs 10%). While the frequency of CYP2C19 (*2/*2, *2/*3) were higher in the clopidogrel-resistant group (27.5% vs 5,17.5% vs 0.83%). Meanwhile the proportion of patients with PON-1Q192R(GG) genotype were higher in clopidogrel resistant group than those in clopidogrel response group(67.5% vs 38.33%).
Table 2.
Baseline characteristics of study patients
| Parameters | Total (n = 160) |
Non-responders (n = 40) | Responders (n = 120) |
P |
|---|---|---|---|---|
| Age | 62.35 ± 12.76 | 60.83 ± 11.47 | 62.86 ± 13.17 | 0.385 |
| Male/Female(n/n) | 121/39 | 31/9 | 90/30 | 0.834 |
| BMI | 24.03 ± 3.06 | 24.09 ± 3.47 | 24.01 ± 2.92 | 0.881 |
| Hypertension(%) | 108(67.5%) | 24(60%) | 84(70%) | 0.165 |
| Diabetes(%) | 40(25%) | 17(42.5%) | 23(19.17%) | 0.003* |
| smoking(%) | 62(38.75%) | 21(52.5%) | 41(34.17%) | 0.039* |
| Dyslipidemia(%) | 148(92.5%) | 36(92.31%) | 112(93.33%) | 0.732 |
| ACEI/ARB (%) | 81(50.63%) | 19(47.5%) | 62(51.67%) | 0.716 |
| CCB(%) | 38(23.75%) | 9(22.5%) | 29(24.17%) | 0.508 |
| Statin(%) | 152(95%) | 36(92.31%) | 116(96.67%) | 0.2 |
| PPI (%) | 48(30%) | 14(35%) | 34(28.5%) | 0.272 |
| Nitrates | 65(40.625%) | 18(45%) | 47(39.17%) | 0.515 |
| β-receptor blocker | 148(92.5%) | 36(90%) | 112(93.33%) | 0.488 |
| Diuretics | 22(13.75%) | 6(15%) | 16(13.33%) | 0.791 |
| Rivaroxaban | 12 (7.5%) | 4(10%) | 8(6.67%) | 0.488 |
| Panax Notoginseng | 14(8.75%) | 5(8%) | 9(7.5%) | 0.332 |
| Metal stent | 14 (8.75%) | 3(7.5%) | 11(9.17%) | 0.747 |
| Drug-eluting stent | 146(91.25%) | 37(92.5%) | 109(90.83%) | 0.747 |
| Infarct artery LAD | 115(71.88%) | 29(72.5%) | 86(71.67%) | 0.919 |
| Infarct artery LCX | 108(67.5%) | 24(60%) | 84(70%) | 0.242 |
| Infarct artery RCA | 135(84.38%) | 34(85%) | 101(84.17%) | 0.9 |
| Infarct artery LM | 35(21.88%) | 8(20%) | 27(22.5%) | 0.74 |
| clinical presentation | ||||
| Angina | 25(15.63%) | 6(15%) | 19(15.83%) | 0.9 |
| AMI | 116(72.5%) | 27(67.5%) | 89(74.16%) | 0.413 |
CCB Calcium channel blockers
PPI Proton pump inhibitors
ACEI/ARB angiotensin converting enzyme inhibitor/ angiotensin II receptor antagonist
LAD left anterior descending artery
LCX left circumflex artery
RCA right coronary artery
LM left main coronary artery
AMI acute myocardial infarction
*Variable is significant difference between responders and non-responders at p-value< 0.05
Table 3.
Distribution of CYP2C19*2, *3 and PON1 genotypes in clopidogrel responder and non-responder group
| Genotype | Non-responders (40) |
responders (120) |
P | |
|---|---|---|---|---|
| CYP2C19 | a1/a1(681GG/636GG) | 4(10%) | 61(50.83%) | < 0.001 |
| (a2:681G > A | a1/a2(681GA/636GG) | 13(32.5%) | 45(37.5%) | 0.569 |
| a3:636G > A) | a1/a3(681GG/681GA) | 5(8%) | 7(5.83%) | 0.177 |
| a2/a2(681AA/636GG) | 11(27.5%) | 6(5%) | < 0.001 | |
| a2/a3(681GA/636GA) | 7(17.5%) | 1(0.83%) | < 0.001 | |
| a3/a3(681GG/636AA) | 0 | 0 | ||
| PONQ192R | AA(QQ) | 2(5%) | 21(17.5%) | 0.172 |
| (575A > G) | ||||
| AG(QR) | 11(27.5%) | 53(44.17%) | 0.066 | |
| GG(RR) | 27(67.5%) | 46(38.33%) | 0.001 |
a Variable is significant difference between responders and non-responders at p-value< 0.05
CYP2C19*2, *3 and PON1 Q192R genotypes and platelet aggregation inhibition rate
The platelet aggregation inhibition rate (PAIR) in all the CYP2C19*2, *3, PONQ192R genotypes were showed in Fig. 2. The PAIR of the patients with the genotype of CYP2C19 (*1/*2 or *2/*2) were significantly lower than those in patients with CYP2C19 (*1/*1) (p = 0.003, p = 0.001). The same results were found in CYP2C19*3 genotypes. When consideration the allelic of both CYP2C19*2 and CYP2C19*3, The PAIR of intermediated metabolizers (*1/*2, *1/*3) and poor metabolizers (*2/*2, *2/*3) were lower than normal metabolizers (*1/*1) (p < 0.05). For PON1 Q192R genotypes, the PAIR of patients with RR(GG) genotype were obviously lower than those in patients with QQ(AA) genotype (p < 0.05).
Fig. 2.
CYP2C19*2, CYP2C19 *3, PON-1Q192R genotypes and ADP- induced platelet aggregation inhibition rates. a: CYP2C19*2 and ADP induced platelet aggregation inhibition rates; b: CYP2C19*3 and ADP induced platelet aggregation inhibition rates; c: PONQ192R and ADP induced platelet ggregation inhibition rates; d: CYP2C19*2 or *3 genotypes and ADP- induced platelet inhibition rates; p-value< 0.05: ADP induced platelet aggregation inhibition rates is significant difference between different genotype
Relationship between CYP2C19 *2, CYP2C19*3, PON1 Q192R genotype and clopidogrel responses
Both univariate logistic regression and the multivariate logistic regression analysis were used to determine the risk factors of clopidogrel resistance. The results were shown in Table 4. The univariate logistic regression showed that CYP2C19*2 (*1/*2) and CYP2C19 (*2/*2) were separately 2.81 times (95% CI,1.12–6.59; p = 0.03) and 12.47 times (95%CI, 3.47–41.22; p = 0.001) higher risk of clopidogrel resistance. Meanwhile, CYP2C19*3 (*1/*3) predicted the risk of clopidogrel resistance (OR 5.31,95% CI,1.96–14.41; p < 0.001). Due to the combined effect of CYP2C19*2 and *3, the *2/*2 and*2/*3 genotypes showed more higher risk of clopidogrel resistances (OR 27.96, 95%CI, 6.77–115.52; p < 0.001; OR 106.75, 95%CI,10.42–1093.57; p < 0.001).For PON1 Q192R, PON1 Q192R (RR) showed higher risk of clopidogrel resistance (OR 5.47,95% CI,1.19–25.23; p = 0.029).
Table 4.
Association between CYP2C19*2, *3, PON1 Q192R and clopidogrel resistance
| Genotype | Crude OR(95%CL) | P value | Adjusted OR (95%CL) |
P value |
|---|---|---|---|---|
| CYP2C19*2(GG) | 1 | 1 | ||
| CYP2C19*2(GA) | 2.81(1.12–6.59) | 0.018 | 2.99(1.11–8.03) | 0.03 |
| CYP2C19*2(AA) | 12.47(3.77–41.22) | < 0.001 | 8.62(2.29–32.46) | 0.001 |
| CYP2C19*3(GG) | 1 | 1 | ||
| CYP2C19*3(GA) | 5.31(1.96–14.41) | < 0.001 | 3.64(0.98–13.56) | 0.054 |
| 1*/1* | 1 | 1 | ||
| 1*/2* | 4.41(1.35–14.41) | 0.14 | 6.65(1.77–25.04) | 0.005 |
| 1*/3* | 10.89(2.36–50.30) | 0.002 | 22.74(3.11–166.27) | 0.002 |
| 2*/2* | 27.96(6.77–115.52) | < 0.001 | 48.49(8.16–287.97) | < 0.001 |
| 2*/3* | 106.75(10.42–1093.57) | < 0.001 | 241.32(14.59–3991.37) | < 0.001 |
| PON1(Q192R)QQ(AA) | 1 | 1 | ||
| PON1(Q192R)QR(AG) | 2.68(0.56–12.90) | 0.22 | 3.01(0.53–17.05) | 0.213 |
| PON1(Q192R)RR(GG) | 5.47(1.19–25.23) | 0.029 | 5.69(1.06–30.47) | 0.042 |
p < 0.05: Risk is statistical significant when compared to the reference genotype
Multivariable logistic regression analysis was done after adjusting age, sex, BMI, hypertension, hyperlipidemia, type 2-DM, smoking factors. CYP2C19*2 (*1/*2, *2/*2) showed higher risk of clopidogrel resistance (OR 2.99, 95%CI, 1.11–8.03; p = 0.03; OR 8.62, 95%CI, 2.29–32.46; p = 0.001). Considered the combined effects of CYP2C19*2 and *3, CYP2C19(*1/*2, *1/*3, *2/*2,*2/*3) conferred higher risk of clopidogrel resistance than CYP2C19(*1/*1).While, the PON1 Q192R genotypes (RR) was obviously associate with clopidogrel resistance(OR 5.69,95% CI,1.06–30.47; p = 0.042).
LD analysis and haplotype
The LD analysis showed the LD was observed between rs4986893 and rs4244285(r [2] = 0.03). The D` value between rs4986893 and rs4244285 was 0.995. So the haplotype analysis for rs4986893 and rs4244285 was done by the SHEsis. The results of haplotype analysis of the two single nucleotide polymorphisms (SNPs) were showed in Table 5. The AG* and GA* haplotypes were associated with a significant increase in the clopidogrel resistance (OR = 5.119, 95%CL = 2.01–13.035, P = 0.000191; OR = 3.299, 95%CL = 1.994–5.597, P = 5.8*e-006).
Table 5.
Haplotype analysis on association of CYP2C19, PON-1 gene and clopidogrel resistance
| Haplotypes (rs4244285, rs s4986893) |
Frequencies | OR (95% CL) | P-values | |
|---|---|---|---|---|
| Case group N (%) |
Control group N (%) |
|||
| AG* | 12(0.150) | 8(0.033) | 5.119(2.01–13.035) | 0.000191 |
| GA* | 41(0.512) | 58(0.242) | 3.299(1.944–5.597) | 5.8e-006 |
| GG* | 27(0.338) | 174(0.725) | 0.193(0.112–0.333) | 5.71e-010 |
The frequency of haplotype below 0.03 was not included in the table; P-value < 0.05 was defined as the level of significance
Clinical outcomes
12 months follow-up were done in all patients. The incidence of major adverse cardiac events(MACE) during the follow-up time was 25.63%.The incidence of MACE occurred less often in CYP2C19(1*/1*) patients than in CYP2C19 (1*/2*, 1*/3*, 2*/2*, 2*/3*) patients (2/63vs.18/40, 2/63vs.3/9, 2/63vs.11/6, 2/63vs.7/1,respectively, p < 0.05). While the incidence of MACE occurred in PON1(QQ) patients and PON1(QR + RR) patients were no significantly difference (p < 0.05). The results were showed in Table 6.
Table 6.
Occurrence of adverse cardiovascular events between the different CYP2C19 genotypes and PON-1 Q192R genotypes
| group | Genotype | MACE | NON-MACE | P |
|---|---|---|---|---|
| CYP2C19 | *1/*1 | 2 | 63 | |
| *1/*2 | 18 | 40 | < 0.001 | |
| *1/*3 | 3 | 9 | 0.025 | |
| *2/*2 | 11 | 6 | < 0.001 | |
| *2/*3 | 7 | 1 | < 0.001 | |
| AA(QQ) | 3 | 20 | ||
| PON-1 | AG(QR) | 13 | 51 | 0.534 |
| GG(RR) | 25 | 48 | 0.051 |
p < 0.05 was considered significant
Discussion
Clopidogrel is a prodrug, it needs to be metabolized into an active metabolite with the activity of cytochrome P450 and paraoxonase to playing the role of antiplatelet aggregation(9). The variants of cytochrome P450 and paraoxonase can lead to the change of enzyme activity, especially the mutation of CYP2C19*2, CYP2C19*3, PONQ192R allelic [17, 18]. The probe drug could be used to measure the activity of CYP450 and to point out the genotyping of CYP450 [19]. Ersin Gumus etal evaluate lansopranzole as an in vivo phenotyping probe for assessing CYP2C19 activity, they found that the poor metabolizers have lower enzyme activity [20]. Therefore, the mutation of CYP2C19*2, CYP2C19*3, PONQ192R may cause different clopidogrel response and increased rates of thrombotic events. Although several studies have reported the relationship between CYP2C19*2, CYP2C19*3 and Clopidogrel resistance. Whereas allelic variants exhibit ethnic and geographic diversity [8, 10]. It was the first time for us to assess the relationship between CYP2C19*2, CYP2C19*3, PONQ192R allelic variants and Clopidogrel resistance and to clarify the relationship between the CYP2C19*2, CYP2C19*3, PONQ192R polymorphisms and the incidence of major adverse cardiovascular events in Jin Hua population (in the middle of Zhe Jiang province in China). The results of our study showed that the frequencies of heterozygous and homozygous CYP2C19*2 were 40.62% and 10.63% respectively and the frequencies of heterozygous and homozygous CYP2C19*3 was 12.5, 0%. All genotype frequencies for both CYP2C19*2 and CYP2C19*3 alleles were consistent with Hardy-Weinberg equilibrium. The mutation of CYP2C19*2 is similarly with the results of Wei et al .[21] reported but lower than the results of Zhao et al. [22] reported. While the mutation of CYP2C19*3 showed higher than the results of Zhao et al. reported. Our study also showed that the frequencies of heterozygous and homozygous PONQ192R were 40% and 45.62%, respectively, It is consistent with the results of Xiao-Fang Tang at el [23]reported.
Our study found that both the carriers of CYP2C19*2 and CYP2C19*3 mutant allele showed attenuated response to clopidogrel therapy, after adjusted for age, sex, BMI, hypertension, hyperlipidemia, type 2-DM,smoking, we also found a synergic effect between the two alleles mutation on Clopidogrel resistance, both intermediated metabolizer (*1/*2,*1/*3)and poor metabolizers(*2/*2,*2/*3) all increased the Clopidogrel resistance as compare with normal metabolizers(*1/*1). Our study is consistence with The results of Studies in Thailand [24], Japan [25], Latin American [26], Korea [27]. While Hassani Idrissi [28] et al. showed that a synergic effect between CYP2C19*2 and CYP2C19*3 loss-of-function is associated with Clopidogrel resistance but not CYP2C19*2 and CYP2C19*3 loss-of-function lonely. This may due to inter-racial differences and small sample size. We conducted the haplotype analysis for rs4986893 and rs4244285. We found that the haplotype AG* and GA* were associated with an increased Clopidogrel Resistance. Our reports also indicated only homozygous PONQ192R showed attenuated response to clopidogrel therapy. This results are the same as several reports [29, 30]. However, other studies could not discovery the influence of PON1 Q192R genotype on clopidogrel induced antiplatelet aggregation inhibition [31, 32], This may due to the small effects of PON1 Q192R polymorphism on platelet aggregation.
Many studies have proved that the CYP2C19*2 LOF alleles (*1/*2, *2/*2) increase the risk of MACE [33, 34]. Our study also showed that intermediated metabolizer (*1/*2) and poor metabolizers (*2/*2, *2/*3) seem to be at increased risk of adverse cardiovascular outcomes and higher rates of adverse cardiovascular events. It is similar to those studies, but Zhong et al. shed new light on no significant association between CYP2C19 polymorphisms and MACE [35]. such variation may include genetic, non-genetic, and physiologic agents among the patients. we could not find any association between MACE and PON-1 genotypes, it is in accordance with the results of Chen et al. [36] and Hulot et al. [37]. We guess that the first oxidation step for the Clopidogrel to 2-oxo-clopidogrel plays a decisive role in how much clopidogrel will enter the activation form. Therefore, the allelic mutant of CYP2C19 which play a significant role in the first oxidation step will lead to lower ADP-induced platelet aggregation inhibition rate and higher MACE. Whereas, PON-1 which is the enzyme for 2-oxo-clopidogrel transforms to the active metabolite would exert a limited effect on clopidogrel activation. This might explain the small effects of PON1 Q192R polymorphism on ADP-induced platelet aggregation inhibition rate but not MACE.
There were still some limitations in our study, Firstly, the sample size was relatively small. Secondly, the follow up duration was 12 months, a longer follow up duration is needed to confirm the results. Lastly, we did not exclude the effects of other metabolism enzymes on clopidogrel resistance. Some important markers may be missing. Therefore, our study yielded the definite conclusions.
Conclusion
In summary, the polymorphism of CYP2C19 and PON-1 affect clopidogrel responsiveness. The polymorphism of CYP2C19 affect the adverse cardiovascular events but not PON-1. These findings.
Provided individual drug therapies among minority populations in JinHua in China.
Acknowledgments
We thank all the study participants and study coordinators for participating in this study. We thank for JinHua Municipal Central Hospital and the Health commission of Zhejiang province.
Abbreviations
- CHD
Coronary Heart Disease
- DAPT
Dual antiplatelet therapy
- MACE
Major adverse cardiac events
- MPAR
Maximal platelet aggregation rate
- PAIR
Platelet aggregation inhibition rate
- PCI
Percutaneous Coronary Intervention
- PON-1
Paraoxonase-1
- PPP
Platelet-poor plasma
- PRP
Platelet-rich plasma
Author contributions
ZWZ, MXC, LZ made contributions to conception, design, implement the experiment. QZ acquisition of data, analysis and interpretation of data. ZWZ preparing the original draft. ZWZ revised the manuscript critically for important intellectual content. ZWZ, MXC agreed to be accountable for all aspects of the work in ensuring the accuracy or integrity of this study. All authors read and approved the final manuscript.
Funding
This study was supported by JinHua Municipal Central Hospital and Zhejiang provincial health and family planning commission. The contact number were respectively JY2017-2-3 and 2018RC080.
Availability of data and materials
All relevant data are including in the manuscript. The datasets used and/or analyzed during the current study are available from the corresponding author upon request.
Ethics approval and consent to participate
The protocol of this study was reviewed and approved by the ethics committee of Jin Hua municipal central hospital and written informed consent was provided by all patients.
Consent for publication
Not applicable.
Competing interests
None of the authors have any potential conflicts associated with this research.
Footnotes
Publisher’s Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
All relevant data are including in the manuscript. The datasets used and/or analyzed during the current study are available from the corresponding author upon request.