| Literature DB >> 33915807 |
Mohammed Ahmed Akkaif1, Nur Aizati Athirah Daud1, Abubakar Sha'aban1, Mei Li Ng2, Muhamad Ali Sk Abdul Kader3, Dzul Azri Mohamed Noor1, Baharudin Ibrahim1,4.
Abstract
Clopidogrel is a widely-used antiplatelet drug. It is important for the treatment and prevention of coronary heart disease. Clopidogrel can effectively reduce platelet activity and therefore reduce stent thrombosis. However, some patients still have ischemic events despite taking the clopidogrel due to the alteration in clopidogrel metabolism attributable to various genetic and non-genetic factors. This review aims to summarise the mechanisms and causes of clopidogrel resistance (CR) and potential strategies to overcome it. This review summarised the possible effects of genetic polymorphism on CR among the Asian population, especially CYP2C19 *2 / *3 / *17, where the prevalence rate among Asians was 23.00%, 4.61%, 15.18%, respectively. The review also studied the effects of other factors and appropriate strategies used to overcome CR. Generally, CR among the Asian population was estimated at 17.2-81.6%. Therefore, our overview provides valuable insight into the causes of RC. In conclusion, understanding the prevalence of drug metabolism-related genetic polymorphism, especially CYP2C19 alleles, will enhance clinical understanding of racial differences in drug reactions, contributing to the development of personalised medicine in Asia.Entities:
Keywords: CYP2C19 polymorphism 5; antiplatelet 3; clopidogrel 2; clopidogrel resistance 4; personalized medicine
Mesh:
Substances:
Year: 2021 PMID: 33915807 PMCID: PMC8036376 DOI: 10.3390/molecules26071987
Source DB: PubMed Journal: Molecules ISSN: 1420-3049 Impact factor: 4.411
Prevalence of clopidogrel resistance (CR) in various studies in the Asian population.
| Investigators | Country | Number of Patients | Clopidogrel Loading Dose (mg) | CR |
|---|---|---|---|---|
| Ma et al. 2019 [ | China | 441 | 300 | 17.2% |
| Pareed et al. 2020 [ | India | 200 | 300 | 32% |
| Namazi et al. 2012 [ | Iran | 112 | 600 | 25.90% |
| Sahib et al. 2016 [ | Iraq | 127 | 300 | 24% |
| Park et al. 2011 [ | Korea | 114 | 75/150 | 46% |
| Amin et al., 2017 [ | Malaysia | 71 | 600 | 38% |
| Sakr et al., 2016 [ | Saudi Arabia | 49 | 75 | 81.6% |
| Tekkeşin et al. 2016 [ | Turkish | 1.238 | 600 | 30.2% |
| Range | 17.2–81.6% |
Figure 1The metabolic pathway of clopidogrel and its target receptors.
Genetic polymorphism distribution and allele frequencies in clopidogrel-resistant and non-clopidogrel-resistant groups.
| Author | Population | Population Sample | Gene | SNP | Genotype | Allele Frequencies | Total | ||
|---|---|---|---|---|---|---|---|---|---|
| CR Group | NCR Group | ||||||||
| Li et al., 2020 [ | China | 126 |
| rs4244285 | GG (*1/*1) | 9 (23.1%) | 48 (55.2%) | 57 (45.2%) | 0.001 |
|
| rs4986893 | GG (*1/*1) | 27 (69.2%) | 75 (86.2%) | 102 (80.9%) | 0.025 | |||
| Al-Azzam et al., 2013 [ | Jordan | 240 |
| rs4244285 | GG (*1/*1) | 22 (22.9%) | 74 (77.1%) | 96(40%) | <0.001 |
| Lee et al., 2009 [ | Korean | 387 |
| rs4244285 | GG | 55(49.1%) | 155(56.4%) | 210(54.3%) | 0.287 |
|
| rs4986893 | GG | 80(71.4%) | 236(85.8%) | 316(81.7%) | 0.001 | |||
| Amin et al., 2017 [ | Malaysia | 71 |
| rs4244285 | GG (*1/*1) | 11 (40.7%) | 19 (43.2%) | 30 (42.3%) | 0.026 |
| Alhazzani, et al., 2017 [ | Saudi Arabia | 50 |
| rs4244285 | GG | 21(84%) | 10(40%) | 31(62%) | 0.001 |
|
| rs4986893 | GG | 20(80%) | 13(52%) | 33(66%) | 0.036 | |||
| Shijun et al., 2014 [ | China | 95 |
| rs2242480 | (GG) | 24 (61.50%) | 33 (58.90%) | 57 (60.00%) | 0.798 |
| Namazi, et al. 2012 [ | Iran | 112 |
| rs776746 | (*1/*1) | - | - | 9 (8.00%) 42 (37.50%) 61(54.50%) | >0.05 |
| Al-Husein et al., 2018 [ | Jordan | 280 |
| rs2242480 | (*1/*1) | 80(28.6%) | 196 (70%) | 276 (98.6%) | >0.9999 |
|
| rs776746 | (*1/*1) | 57 (20.4%) | 24(8.6%) | 81(28.9%) | 0.961 | |||
| Lee et al., 2009 [ | Korean | 387 |
| rs2246709 | TT | 42(37.5%) | 103(37.5%) | 145(37.5%) | 0.925 |
| rs2242480 | GG | 74(66.1%) | 172(62.5%) | 246(63.6%) | 0.568 | ||||
|
| rs776746 | GG | 61(54.5%) | 154(56.0%) | 215(55.6%) | 0.808 | |||
| Shasha et al., 2020 [ | China | 741 |
| rs1045642 | GG | 94(38.5%) | 161(44.4%) | 255(34.4%) | 0.021 |
| Chen et al., 2021 [ | China | 204 |
| rs 1128503 | CC | 12 (24%) | 40 (25.8%) | 52 (25.5%) | 0.521 |
| Li et al., 2020 [ | China | 126 |
| rs6809699 | GG | 15 (38.5%) | 67 (79.3%) | 82 (66.7%) | 0.000 |
| Namazi et al., 2012 [ | Iran | 112 | rs2046934 | CC | - | - | 104(92.9%) | >0.05 | |
| Lee et al., 2009 [ | Korean | 387 | rs2046934 | TT | 81(72.3%) | 177(64.4%) | 258(66.7%) | 0.139 | |
CR, clopidogrel resistance; NCR, non-clopidogrel resistance; GG, CC, AA, TT, *1/*1, *2/*2, *3/*3, homozygous; GC, GA, GT, CT, *1/*2, *1/*3, heterozygous.
The categorisation of the predicted CYP2C19 metabolic phenotypes based on the CYP2C19 genotypes [75].
| Likely Phenotype | Genotypes | Examples of Diplotypes |
|---|---|---|
| Ultrarapid metaboliser: Normal or increased activity (−5–30% of patients) | An individual carrying two increased activity alleles (* |
|
| Extensive metaboliser: Homozygous wild-type or normal activity (~35–50% of patients) | An individual carrying two functional (*1) alleles. |
|
| Intermediate metaboliser: Heterozygote or intermediate activity (~18–45% of patients) | An individual carrying one functional allele ( |
|
| Poor metaboliser: Homozygous variant, mutant, low, or deficient activity (~2–15% of patients) | An individual carrying two loss-of-function alleles ( |
|
CYP2C19 allele frequencies (* 2, * 3 and * 17) % among Asian ethnic groups.
| Author | Population | Population Sample | Method | Allele Frequency (%) | ||
|---|---|---|---|---|---|---|
|
|
|
| ||||
| Zhong et al., (2017) [ | China | 6686 | PCR and DNA Sequencing | 31.06 | 4.61 | ND |
| T. Wang et al., (2020) [ | China | 1129 | TaqMan-Real-Time PCR | ND | ND | 2.5 |
| (Anichavezhi, Chakradhara Rao, Shewade, Krishnamoorthy, & Adithan, (2012) [ | India | 206 | PCR-RFLP | 40.2 | 0 | 19.2 |
| Dehbozorgi et al., (2018) [ | Iran | 1,229 | PCR and DNA Sequencing | 21.4 | 1.7 | 27.1 |
| Sahib, Mohammed, & Abdul-Majid, (2015) [ | Iraq | 221 | PCR and DNA Sequencing | 15.2 | 0.2 | 19.5 |
| Sugimoto, Uno, Yamazaki, & Tateishi, (2008) [ | Japanese | 265 | PCR-RFLP | 27.9 | 12.8 | 1.13 |
| (Sviri, Shpizen, Leitersdorf, Levy, & Caraco, (1999) [ | Jewish Israeli | 136 | PCR-RFLP | 15 | 1 | ND |
| Rjoub et al., 2018 [ | Jordanian | 148 | PCR-RFLP | 9.8 | ND | 28.72 |
| Kim, Song, Kim, & Park, (2010) [ | Korean | 271 | PCR and pyrosequencing | 28.4 | 10.1 | 1.5 |
| Amin et al., (2017) [ | Malaysia | 89 | PCR and DNA Sequencing | 59.6 | 6.74 | ND |
| Riaz et al., (2019) [ | Pakistan | 1028 | ASA-PCR | 29.0 | ND | 23.70 |
| (Ayesh, Al-Astal, & Yassin, (2019) [ | Palestinian | 110 | PCR-RFLP | 15.5 | 2.3 | ND |
| Elewa, Ali, & Bader, (2018) [ | Qatar | 129 | TaqMan-Real-Time PCR | 4 | 0 | 10 |
| Mirzaev et al., (2017) [ | Russia | 512 | TaqMan-Real-Time PCR | 11.25 | 1.2 | 22 |
| Al-Jenoobi et al., 2013 [ | Saudi Arabia | 192 | PCR and DNA Sequencing | 8.2 | 0 | 26.9 |
| Sukasem et al., (2013) [ | Thai | 1051 | AmpliChip CYP450 test | 41.95 | 13.03 | 4.30 |
| (Arici & Özhan, (2017) [ | Turkish | 160 | PCR-RFLP | 12 | 13 | 25 |
| Vu et al., (2019) [ | Vietnam | 100 | PCR-RFLP | 20.5 | 2.5 | 1 |
| Total | 13662 | |||||
| Average | 23.00 | 4.61 | 15.18 | |||
Population sample: The number of screened individuals. ND: No data.
Figure 2Prevalence of the CYP2C19 * 2/*3/*17 alleles in the Asian population.
Figure 3Drug interaction mechanism of clopidogrel with statins, calcium channel blockers (CCBs) and proton pump inhibitors (PPIs).