|Year : 2022 | Volume
| Issue : 3 | Page : 332-340
A review of pharmacogenetics of anticoagulant therapy: Heparins, rivaroxaban, apixaban, and dabigatran
Ali Mohammed Abd Alridha, Karrar Mohammed Al-Gburi, Sarah Kadhim Abbood
Faculty of Pharmacy, Department of Clinical Pharmacy and Therapeutics, University of Kufa, Kufa, Iraq
|Date of Submission||12-May-2022|
|Date of Acceptance||02-Jun-2022|
|Date of Web Publication||29-Sep-2022|
Ali Mohammed Abd Alridha
Faculty of Pharmacy, Department of Clinical Pharmacy and Therapeutics, University of Kufa, Kufa
Source of Support: None, Conflict of Interest: None
Variances in the patients’ outcomes have been a well-documented challenge in anticoagulant therapy. A clinical encounter with a thromboembolic or a hemorrhagic event, due to subtherapeutic or adverse effects of an anticoagulant, is often managed by switching the anticoagulant agent into another, which is more specific and direct-acting. This management approach is usually associated with a financial burden. Additionally, the certainty of achieving better efficacy and safety profile is still questionable. Genetic variants affecting the protein sites that are involved in the anticoagulant pharmacokinetic and pharmacodynamics interactions have been suggested to contribute to the variability in the response to anticoagulant therapy. The current work reviewed the studies investigating the response variability associated with the anticoagulant therapy (heparins, rivaroxaban, apixaban, and dabigatran) and the potential pharmacogenes contributing to such response variability. Several genetic polymorphisms were reported as potential contributors to variances in response to anticoagulant therapy and were associated with adverse events. A link has been proposed for heparin resistance with single nucleotide polymorphisms (SNPs) of the anti-thrombin-encoding gene (SERPINC1) as well as heparin-induced thrombocytopenia with human leukocyte antigen (HLA) variant allele (HLA-DRB3*01:01). Several investigations also remarked variations in the serum drug level of direct oral anticoagulants (DOACs) that are associated with SNPs in the proteins contributing to the pharmacokinetics of the anticoagulant agent. Several studies discerned significant associations between SNPs in the ABCB1 gene and elevations in the serum levels of rivaroxaban, apixaban, and dabigatran. Moreover, carriers of the variant genotype of the SNP (rs776746) in the cytochrome P450 3A5 enzyme-encoding gene (CYP3A5) had significantly higher drug levels when compared with the non-carriers. In contrast, some SNPs were reported to impart a protective phenotype to the carrier. The SNP (rs2244613) in the carboxylesterase-encoding gene (CES1) has been significantly associated with a decline in dabigatran trough levels and a lower risk of hemorrhage. Further investigations are essential to elucidate the extent of pharmacogenetics-based alterations in the drug levels as well as the subsequent clinical outcomes of anticoagulant therapy.
Keywords: Apixaban, dabigatran, heparins, pharmacogenetics, rivaroxaban
|How to cite this article:|
Abd Alridha AM, Al-Gburi KM, Abbood SK. A review of pharmacogenetics of anticoagulant therapy: Heparins, rivaroxaban, apixaban, and dabigatran. Med J Babylon 2022;19:332-40
|How to cite this URL:|
Abd Alridha AM, Al-Gburi KM, Abbood SK. A review of pharmacogenetics of anticoagulant therapy: Heparins, rivaroxaban, apixaban, and dabigatran. Med J Babylon [serial online] 2022 [cited 2023 May 29];19:332-40. Available from: https://www.medjbabylon.org/text.asp?2022/19/3/332/357273
| Introduction|| |
Venous thromboembolism (VTE) events have been considered a leading cause of death and disability worldwide as 10 million incidents of VTE were encountered annually worldwide.,
Recently, a wide range of VTE incidents was reported among hospitalized cases with coronavirus disease (COVID-19) from 17% up to 48% in patients with a critical illness.,
Incidence rates for VTE events in Iraq were lacking in the literature for hospitalized patients. Nevertheless, the patients who were identified at risk of VTE were estimated to be about 47% (n = 267/574) in a previous Iraqi study.
Furthermore, the impact of the VTE condition, its long-term consequences, the financial complications due to diagnosis investigations, management medications, hospitalization, and routine monitoring and follow-up visits can be unduly burdening. However, through dedicating healthcare efforts toward prophylaxis, thromboembolic events can be prevented, healthcare costs reduced, and eventually lives saved.
Risk factors for VTE come in many guises that can be triangulated into Virchow’s triad. The factors shift the hemostatic balance toward thrombosis.
A VTE event often ensues from slowing the circulation, triggering endothelial, platelets, or immune system activation, or altering the levels of the prothrombotic and antithrombotic factors.
The mortality rate of VTE was 30% of cases before the introduction of the anticoagulants. Anticoagulant therapy successfully controlled and prevented VTE events; however, it was associated with increasing the risk of bleeding, which by itself may result in mortality in up to 25% of the patients.
Balancing the adverse and therapeutic effects of anticoagulant agents is critical in designing a safe and effective treatment plan. The anticoagulant treatment plan typically involves three-time phases: acute treatment (within 5–10 days after the VTE event onset), long-term treatment (within the 3-month period after the VTE event onset), and extended treatment (for more than 3 months after the VTE event onset).
Acute VTE management involves the use of a fast-onset injectable agent such as unfractionated heparin (UFH) or low-molecular-weight heparin (LMWH) or direct oral anticoagulant (DOAC) agents such as rivaroxaban or apixaban. VTE events requiring long-term and extended duration for the management are often treated with oral anticoagulants such as vitamin K antagonist (warfarin) or a DOAC agent.
A comprehensive insight into all the drivers that contribute to the outcome variability from each anticoagulant medication is essential to improve the decision of selecting the most effective agent and to ensure the safety of management of VTE.
Inter-patient variability in response to anticoagulant therapy has been well documented and in some agents more than others. Generally, patients with inadequate response or who develop an adverse effect to an anticoagulant are often switched to another anticoagulant with a different mechanism of action (often more specific and direct-acting).
However, an alternative anticoagulant is often more expensive, not necessarily safer, or associated with additional efficacy benefits. At the same time, one of the mechanisms proposed for variability in the response to anticoagulant therapy is genetic polymorphisms of the protein sites that contribute to the pharmacokinetic and pharmacodynamic interactions of the anticoagulant agent.
Thus, researching the capability of predicting the individual risk to the adverse (e.g. bleeding) or the sub-therapeutic (thrombotic) outcomes, based on the patient’s genetic characteristics, merits further consideration.
This study aimed to review the potential genetic polymorphisms involved in producing variability in response to some of the anticoagulant agents used in VTE patients or patients at risk of VTE.
An online search was conducted on the Google search engine multiple times to identify relevant studies to review. The keywords searched were “pharmacogenetics of” and “heparin,” “rivaroxaban,” “Apixaban,” or “dabigatran.” Review articles as well as research articles were included. Single case reports were also considered in this review. Short communications and letters to editors were excluded.
Heparin products are a heterogeneous mixture of sulfated polysaccharide units. The length and the density of the negative charge of the saccharide chain contribute to the non-specific binding tendency of UFH to proteinaceous and cellular components, which diminish the anticoagulant activity.
Therefore, UFH has several limitations such as the risk of bleeding and heparin-induced thrombocytopenia (HIT) and lack of predictable pharmacokinetic profile and clinical outcomes among different patients.
Some patients were found to have a diminished response to heparin that was associated with lower heparin concentrations and reduced inhibitory effects on thrombus initiation and formation.
Moreover, monitoring of activated partial thromboplastin time in such patients does not reliably correlate with heparin antithrombotic effects and it is likely preferred to monitor anti-factor Xa instead.
Heparin resistance (clinically defined as the unusually high dose required to reach the monitoring target, which was combined with unsuccessful prevention or treatment of VTE events) is common in the intensive care unit (ICU), especially among patients with more profound systemic inflammation such as coronavirus 2019 disease (COVID-19) patients.,
Although infrequently, some patients may develop acquired antithrombin (AT) deficiency. Alternatively, proteins may bind to heparin during an acute phase reaction. These factors may contribute to heparin resistance.
Contrarily, hypercoagulability status was invoked in some ICU patients, which was relatively overwhelming even with increasing heparin plasma concentrations, which could contribute to the development of thromboembolic events., Additional well-designed studies are required to further explain the clotting tendency in these patients, despite higher levels of heparinization.
Regarding pharmacogenetics, resistance to heparin could be attributed to SNPs of the AT-encoding gene (SERPINC1). One of the SNPs, rs2227589 (786G>A), was associated with a significant decline in AT concentrations and subsequently lower heparin anticoagulant effects. Though uncommon (up to 5% of VTE patients), this genetic variant was found to be a high-risk factor for morbidity. Recognizing such patients at risk can be useful to improve the efficacy and safety of heparin therapy.
Heparin-induced thrombocytopenia (HIT)
The main focus of heparin pharmacogenetics is HIT, which affects up to about 5% of patients on heparin and can be fatal in up to 30% of affected cases.,
Moreover, the risk of thromboembolic events and mortality due to HIT is even higher in patients with delayed identification and management. Patients, who are misdiagnosed, are predisposed to unnecessary anticoagulation and bleeding risk.
Thus, characterization of a particular genetic variance to recognize patients at risk before UFH or LMWH therapy would be helpful.
The proposed mechanism for HIT involved the activation of the platelet Fcγ receptor type IIa (FcγRIIa) due to the interaction of heparin-PF4 (platelet factor-4) complexes with IgG antibodies.
Pharmacogenetic studies investigating the effect of SNPs in the FcγRIIa gene did not find a significant association with HIT development. However, there were significantly higher frequencies of the homozygous mutant genotype carriers among patients with thrombotic events.
The human leukocyte antigen allele (HLA-DRB3*01:01) has also been linked to HIT (odds ratio 2.81 [1.57–5.02], P = 2.1 × 10−4) [Table 1].
|Table 1: Potential genetic polymorphisms and their corresponding phenotypes associated with the use of heparins|
Click here to view
Direct oral anticoagulants (DOACs)
Warfarin has been the mainstay anticoagulant used in the prophylaxis of thromboembolic events for many years. However, warfarin was limited by the late onset (up to72 h) and requirement of regular monitoring of the international normalized ratio, which added a financial burden.
Direct oral anticoagulants (DOACs) such as dabigatran, rivaroxaban, apixaban, and edoxaban were alternatives to warfarin, which had more predictable pharmacokinetics and relatively faster onset.
Achieving a balance between the risk of adverse effects and the desired therapeutic benefits can be challenging in real-life clinical decisions. Pharmacogenetic investigations to identify the genetic polymorphisms associated with an alteration in drug disposition provide a valuable insight, which helps select a treatment regimen tailored to the patient-relevant genetic profile and optimize the efficacy and safety of anticoagulant therapy.
This agent was used for treatment and prevention purposes for a variety of thromboembolic conditions. The time to achieve the highest drug level in blood is 2–4 h after oral administration.
About a third of the oral dose of rivaroxaban undergoes renal clearance unchanged through P-glycoprotein (P-gp encoded by the ABCB1 gene) and breast cancer resistance protein (BCRP encoded by the ABCG2 gene). Another third of the oral dose is elimination by liver-metabolizing enzymes such as cytochrome P450 (CYP) enzyme family members CYP3A4, CYP3A5, and CYP2J2. These clearance-mediating proteins are subjected to SNPs [Table 2].
|Table 2: Pharmacokinetic and pharmacodynamic variations of rivaroxaban based on genetic polymorphisms of ABCB1 and CYP3A4|
Click here to view
P-glycoprotein (ABCB1) gene
ATP binding cassette subfamily B member 1 (ABCB1) gene SNPs were investigated to evaluate their association with a variation in the pharmacokinetics of rivaroxaban. Kanuri and Kreutz’s review reported that ABCB1 SNPs were significantly associated with a metabolic difference.
The drug plasma level, the maximum concentration, half-life, and hemorrhage risk were higher in mutant homozygous (MHM) carriers to the haplotypes (rs2032582 and rs1045642). It is likely advisable to screen for these genetic variants especially when rivaroxaban is being used in a renally impaired patient or concomitantly with an enzyme inhibitor.
The three ABCB1 SNPs (rs1045642, rs1128503, and rs2032582) were not significantly associated with a difference in rivaroxaban metabolism.
In a more recent review by Raymond et al., it has been noted that the team of Ing Lorenzini et al. reported a bleeding event in an MHM genotype carrier for rs2032582 and rs1045642. Consistently, Xie et al. found a significantly higher drug peak level in these patients compared with the WT.
Sennesael et al. analyzed the genotypes of ABCB1 SNPs (rs1045642, rs1128503, rs2032582, and rs4148738) in three patients who developed rivaroxaban-induced hemorrhage. The patients were of heterozygous genotype for rs1128503, rs2032582, and rs4148738 SNPs, whereas the SNP rs1045642 genotyping revealed two heterozygous cases and a homozygous carrier.
Sychev et al. studied the association of ABCB1 SNPs and prothrombin variance in patients with total hip replacement and total knee replacement receiving rivaroxaban as VTE prophylaxis. The prothrombin variance was significantly associated with the genotypes of ABCB1 SNP (rs1045642).
Breast cancer resistance protein (ABCG2) gene
The ATP binding cassette subfamily G member 2 (ABCG2) gene, encoding for BCRP, was also studied as another potential pharmacogenetic factor due to its involvement in intestinal absorption and renal elimination transport of rivaroxaban.,
The animal models lacking the efflux pumps (P-gp and BCRP) had significantly lower rivaroxaban elimination.
The efflux (BCRP) pump activity was significantly associated with the ABCG2 SNP (rs2231142). However, a pharmacogenetic study investigating this gene and rivaroxaban pharmacokinetics has not been conducted yet.
Cytochrome P450 3A (CYP3A4, CYP3A5) gene
Sychev et al. found no statistically significant dependence of prothrombin time variances (%∆PT) on CYP3A5 6986A>G (rs776746) genetic polymorphism.
Furthermore, another work showed that the maximum rivaroxaban plasma level was not significantly associated with MHM haplotypes of the studied SNPs from both genes (ABCB1 and CYP3A4).
Sychev et al. concluded that another study with larger sample size is required to demonstrate statistically significant findings and advised to further include CYP2J2 and BCRP genotypes in future studies.
Cytochrome P450 2J2 (CYP2J2) gene
Rivaroxaban use was not included in the context of the studies investigating the effect of SNPs in the CYP2J gene as most of these studies involved cardiovascular disease development.
Several studies indicated that apixaban, compared with warfarin, was superior in terms of cost-effectiveness. Apixaban’s common indications include treatment of VTE and prophylaxis of thromboembolic complications such as stroke or post-operative VTE.
The proportion of oral apixaban dose reaching the systemic circulation is 50%. Apixaban undergoes transport mechanisms through P-gp and BCRP pumps and is predominantly available in circulation as unchanged form.,
Apixaban clearance involves different pathways. Renal clearance of unchanged apixaban constitutes about one-quarter of the eliminated apixaban. Hepatobiliary and intestinal clearance can also occur and contribute to the remaining elimination of unchanged apixaban as well as its metabolites.
Apixaban is predominantly metabolized by hepatic CYP3A4/5 enzymes. Apixaban may also undergo O-demethylation and sulfation. The interpatient variability in apixaban pharmacokinetics was estimated to reach 30%, with 20% intra-patient variability. Similar to rivaroxaban, SNPs can affect the proteins contributing to apixaban elimination [Table 3].
|Table 3: Apixaban variations based on genetic polymorphisms of ABCB1, ABCG2, and CYP3A5|
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Sulfotransferases (or sulfomethyl transferases, SULT) gene
Sulfotransferases (SULT) mediate a major and potentially important pharmacogenomic metabolic pathway of apixaban. O-demethyl-apixaban was found to be the main inactive metabolite.
SULT1A1*1, SULT1A1*2, and SULT1A1*3 have been identified as significant allelic variants of the sulfation enzymes with different maximum capacities to metabolize apixaban. SULT1A*1 is the wildtype genotype (WT), and SULT1A*3 has a lower metabolizing capacity and may moderately affect anticoagulation by apixaban. An insignificant metabolizing effect was associated with SULT1A*2 allele.
However, an association of SULT1A1 polymorphisms with the pharmacokinetics or the clinical outcomes of apixaban therapy has not been examined yet.
P-glycoprotein (ABCB1) gene
In 2016, Dimatteo et al. studied the association of ABCB1 polymorphism and apixaban peak and trough levels in Caucasian patients. In comparison to the WT, the presence of mutant allele (A) for the SNP rs4148738 was significantly associated with the lower peak apixaban level (up to 32% reduction in peak concentration in the MHM genotype). This SNP has been suggested to affect both the absorption and elimination of apixaban and contributes to 6% of apixaban response variability.
Furthermore, Ueshima et al. investigated the effect of different ABCB1 SNPs (rs1128503, rs2032582, and rs1045642) on the pharmacokinetics of apixaban [the outcome measure was trough level to dose ratio (TDR)] in Japanese patients. No significant variability in the apixaban TDR was found among the different genotypes of the three SNPs.
Lack of significant association between the genetic variants of the ABCB1 gene (rs1045642 and rs4148738) and apixaban pharmacokinetics was also reported by Kruykov et al., which involved Russian individuals.
Recently, Huppertz et al. investigated a Caucasian female case with excessively high measurements of apixaban peak and trough levels. Among the four SNPs studied, ABCB1 rs2032582 and rs1045642 were found to be mutated homozygous, which may have contributed to such an increase in apixaban levels.
BCRP (ABCG2) gene
Ueshima et al. studied the effect of SNPs in ABCG2 genes on apixaban pharmacokinetics and noted a significant increase in the apixaban TDR in MHM genotypes for the ABCG2 (421 C > A) SNP.
Of the four SNPs studied, ABCG2 421C>A was found to be heterozygous in Huppertz et al.’s reported case of excessive peaks and troughs of apixaban.
According to the regression results of Gulilat et al.’s study on 358 Caucasian individuals, the MHM genotype “AA” for the ABCG2 421C>A SNP was expected to have a higher peak and trough apixaban level (a 33% increase in concentration) in comparison to the “CC” genotypes.
Individuals with mutated homozygous (MHM) genotypes for the lack-of-function genetic mutations in the CYP3A5 gene were associated with the greatest possibility to encounter an adverse effect due to apixaban use.
The presence of a functional allele (CYP3A5*1), whether in the WT or mutated heterozygous (MHT) presentation, is associated with the CYP3A5 enzyme expression phenotype, whereas patients, who are of MHM genotype, do not express CYP3A5 enzyme. It has been advised to utilize a cautious dosing approach in patients with the latter phenotype and monitor them for apixaban adverse effects.
Ueshima et al. underlined that in comparison to the WT, a significantly greater apixaban TDR was estimated in individuals with the MHT or MHM genotype for the non-functional CYP3A5*3 allele.
Contrarily, Kruykov et al.’s study in Russian patients did not reveal a significant association between the SNPs in the CYP3A5 gene and apixaban pharmacokinetics.
In a case report in which a 75-year-old Caucasian female treated with apixaban for stroke prevention, Huppertz et al. discovered four concurrent SNPs. The patient was found to have MHM genotypes for the ABCB1 rs2032582, rs1045642, and CYP3A5*3 SNPs and MHT genotype for the ABCG2 421C>A SNP. Moreover, the kidney function of the patient was moderately impaired. Thus, the clearance capacity was thought to have diminished in several eliminating sites, which contributed to the drug accumulation in excessive plasma concentrations.
Prevention of stroke (in non-valvular atrial fibrillation patients) and post-operative VTE (in orthopedic surgery patients) are the indications for dabigatran use. Remarkable pharmacokinetic features include low bioavailability (3–7%), variable peak concentrations, and clearance through the liver glucuronidation metabolism as well as excretion by the kidneys.
The efflux pump (ABCB1) can hinder the systemic availability of the dabigatran prodrug. Moreover, two steps are required to activate dabigatran etexilate (parent prodrug).
The first step involves intestinal metabolism to an ethyl-ester metabolite via a carboxylesterase (CES2) enzyme. After that, the hepatic carboxylesterase enzyme system (CES1) produces active dabigatran from the ethyl-ester metabolite.
Dabigatran was shown to exhibit dramatically different pharmacokinetics in various patients. This could be in part attributed to the SNPs in CES1 and ABCB1 genes that affect the clearance pathways of dabigatran and result in interpatient variability in the drug levels [Table 4].
|Table 4: Dabigatran levels based on genetic polymorphisms of CES1 and ABCB1|
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One of the characteristic SNPs in the CES1 gene is the SNP rs2244613. A protective phenotype has been linked to this SNP.
Elevated dabigatran troughs were considered to have an indicative capability of bleeding risk, and a significant association was found between lower dabigatran troughs and the CES1 SNP rs2244613.
The associations of this SNP with any bleeding and minor bleeding occurrences were also statistically significant (P < 0.05).
Another study reported that the MHM genotypes for CES1 SNP rs2244613 had decreased dabigatran troughs; however, the association did not reach a statistical significance.
The effect of other variants in this gene such as rs8192935 (T > C), rs71647871 (G > A), and rs2244613 (C > A) on dabigatran pharmacokinetics has also been documented.,, These SNPs were associated with a significant decline in the drug plasma levels accompanied by a lower bleeding risk while maintaining the efficacy in preventing VTE.
Despite the significant contribution to variations in dabigatran troughs and peaks, there was a lack of significant effect of CES1 SNP (rs8192935) on the risk of developing hemorrhage due to dabigatran.
The metabolic activation of dabigatran was significantly reduced (at 53%) in individuals carrying the variant CES1 G14E in comparison to the WT (at 100%).
The SNPs rs1128503, rs2032582, rs1045642, and rs4148738 were identified as the most frequent SNPs in the ABCB1 gene.
Sychev et al. investigated the effect of SNPs in ABCB1 and CES1 genes on dabigatran pharmacokinetics in Russian individuals measured as peak and trough levels. Both dabigatran peaks and hemorrhage risk were significantly greater in the MHM genotype for the SNP 3435 C > T when compared with the WT. The other variants did not significantly affect dabigatran pharmacokinetics.
The SNP rs4148738 in the ABCB1 gene was estimated to elevate dabigatran maximum concentration by 1.12-fold per minor allele when compared with the WT, but this elevation did not significantly predispose the patients to hemorrhage.
Implementation of genetic screening in clinical practice
Overall, high-quality evidence supporting the screening of the genetic variants of efflux transporter proteins and metabolizing enzymes of anticoagulants is not yet available. Thus, an advisory statement to incorporate genetic analysis to anticoagulation therapy has not been currently endorsed by healthcare organizations.
Furthermore, when the CES1 rs2244613 and rs8192935 SNPs were searched in the pharmacogenomics database (online database for pharmacogenetics-related research can be accessed by www.pharmgkb.org), the level of evidence was found low (termed as level 3). Similarly, the SNPs of CYP3A5 rs776746 and ABCG2 rs2231142 were designated with evidence level 3 for apixaban [see [Figure 1] for a summary of DOACs pharmacogenetics and their potential effects].
|Figure 1: Potential pharmacogenetics of rivaroxaban, apixaban, and dabigatran and associated changes in pharmacokinetics (up-arrows indicate an increase in the concentration level and down arrows indicate a decrease in the concentration level) [Adopted from (24)]|
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Lack of sufficient quality research hinders the clinical practice application of pharmacogenetic screening. The inconsistencies in findings and inadequate study designs contribute to the insufficiency of the available evidence.
Interestingly, a promising work (the DAPHNE study, n = 300) is undergoing to investigate the effects of ABCB1 and CYP3A allelic variants, the availability and activity of the drug disposition proteins, and several pharmacokinetic and clinical parameters of rivaroxaban and apixaban. The findings may further elucidate the role of pharmacogenetics in DOAC therapy.
| Conclusion|| |
Several SNPs in the genes encoding for the protein sites that interact with the anticoagulant agents have been reported to influence the response to anticoagulant therapy. Interpatient variability and potential adverse events or lack of efficacy could be attributed to such SNPs.
The lack of achieving the therapeutic targets with heparin therapy has been connected to SNPs in the SERPINC1 gene. In contrast, carriers of the variant allele HLA-DRB3*01:01 might be predisposed to HIT development.
ABCB1 SNPs were a significant associating factor to higher drug levels in patients receiving anticoagulant therapy with rivaroxaban, apixaban, or dabigatran. SNPs in the gene encoding the metabolizing enzyme (CYP3A5) were reported to significantly increase apixaban levels, which could cause bleeding especially if it was concurrent with other bleeding risk factors.
Conversely, the SNP (rs2244613) in the CES1 gene was associated with significantly lower dabigatran levels in the variant genotypes when compared with the wild-type genotypes, which was reported to protect the variant genotype carriers from bleeding adverse events.
Additional studies are required to investigate other SNPs in the genes encoding for the proteins involved in the anticoagulant pharmacokinetics and pharmacodynamics to identify additional potential contributors to variances in response to anticoagulant therapy. Moreover, more effort is needed to verify whether the documented SNPs have similar effects in different populations.
AMAA contributed toward the conception or design of the work, drafting of the work, approval of the final version of the article, and agreed to all aspects of the work. KMA and SKA contributed toward the literature review, revision of the article for important intellectual content, approval of the final version of the article, and agreed to all aspects of the work.
Financial support and sponsorship
Conflicts of interest
There are no conflicts of interest.
| References|| |
Scheres LJJ, Lijfering WM, Cannegieter SC Current and future burden of venous thrombosis: Not simply predictable. Res Pract Thromb Haemost 2018;2:199-208.
ISTH Steering Committee for World Thrombosis Day. Thrombosis: A major contributor to the global disease burden. J Thromb Haemost 2014;12:1580-90.
Jiménez D, García-Sanchez A, Rali P, Muriel A, Bikdeli B, Ruiz-Artacho P, et al
. Incidence of VTE and bleeding among hospitalized patients with coronavirus disease 2019: A systematic review and meta-analysis. Chest 2021;159:1182-96.
Mohamed MFH, Al-Shokri SD, Shunnar KM, Mohamed SF, Najim MS, Ibrahim SI, et al
. Prevalence of venous thromboembolism in critically ill COVID-19 patients: Systematic review and meta-analysis. Front Cardiovasc Med 2020;7:598846.
Alhilali DN, Al Tukmagi HF, Abass HM Venous thromboembolism risk and prophylaxis in hospitalized patients in Iraq. J Pharm Biomed Sci 2016;6:602-7.
Reitsma PH, Versteeg HH, Middeldorp S Mechanistic view of risk factors for venous thromboembolism. Arterioscler Thromb Vasc Biol 2012;32:563-8.
Nutescu EA, Burnett A, Fanikos J, Spinler S, Wittkowsky A Pharmacology of anticoagulants used in the treatment of venous thromboembolism. J Thromb Thrombolysis 2016;41:15-31.
Miklosz J, Kalaska B, Mogielnicki A Pharmacogenetic considerations of anticoagulant medication. J Physiol Pharmacol Off J Pol Physiol Soc 2018;69. Available from: https://www.jpp.krakow.pl/journal/archive/08_18/articles/01_article.html
Boroumand M, Goodarzynejad H Monitoring of anticoagulant therapy in heart disease: Considerations for the current assays. J Tehran Heart Cent 2010;5:57-68.
Veerhoek D, Groepenhoff F, van der Sluijs MGJM, de Wever JWB, Blankensteijn JD, Vonk ABA, et al
. Individual differences in heparin sensitivity and their effect on heparin anticoagulation during arterial vascular surgery. Eur J Vasc Endovasc Surg 2017;54:534-41.
Hirsh J, Raschke R Heparin and low-molecular-weight heparin: The Seventh ACCP Conference on Antithrombotic and Thrombolytic Therapy. Chest 2004;126:188S-203S.
White D, MacDonald S, Bull T, Hayman M, de Monteverde-Robb R, Sapsford D, et al
. Heparin resistance in COVID-19 patients in the intensive care unit. J Thromb Thrombol 2020;50:287-91.
Lisman T, Thachil J Differentiating biochemical from clinical heparin resistance in COVID-19. J Thromb Thrombol 2020;50:1015-6.
Blasi A, von Meijenfeldt FA, Adelmeijer J, Calvo A, Ibañez C, Perdomo J, et al
. In vitro hypercoagulability and ongoing in vivo activation of coagulation and fibrinolysis in COVID-19 patients on anticoagulation. J Thromb Haemost 2020;18:2646-53.
Nougier C, Benoit R, Simon M, Desmurs-Clavel H, Marcotte G, Argaud L, et al
. Hypofibrinolytic state and high thrombin generation may play a major role in SARS-COV2 associated thrombosis. J Thromb Haemost 2020;18:2215-9.
LaMuraglia GM, Houbballah R, Laposata M The identification and management of heparin-induced thrombocytopenia in the vascular patient. J Vasc Surg 2012;55:562–70.
Karnes JH, Shaffer CM, Cronin R, Bastarache L, Gaudieri S, James I, et al
. Influence of human leukocyte antigen (HLA) alleles and killer cell immunoglobulin-like receptors (KIR) types on heparin-induced thrombocytopenia (HIT). Pharmacotherapy 2017;37:1164-71.
Shnayder NA, Petrova MM, Shesternya PA, Savinova AV, Bochanova EN, Zimnitskaya OV, et al
. Using pharmacogenetics of direct oral anticoagulants to predict changes in their pharmacokinetics and the risk of adverse drug reactions. Biomedicines 2021;9:1-19.
Sychev D, Minnigulov R, Ryzhikova K, Yudina Iy, Lychagin A, Morozova T Evaluation of the rivaroxaban-influenced effect of ABCB1 and CYP3A5 gene polymorphisms on prothrombin time in patients after total hip or knee replacement surgery. Bull Russ State Med Univ 2018;7:105-9.
Raymond J, Imbert L, Cousin T, Duflot T, Varin R, Wils J, et al
. Pharmacogenetics of direct oral anticoagulants: A systematic review. J Pers Med 2021;11:1-11.
Sennesael AL, Larock AS, Douxfils J, Elens L, Stillemans G, Wiesen M, et al
. Rivaroxaban plasma levels in patients admitted for bleeding events: Insights from a prospective study. Thromb J 2018;16:28.
Xie Q, Xiang Q, Mu G, Ma L, Chen S, Zhou S, et al
. Effect of ABCB1 genotypes on the pharmacokinetics and clinical outcomes of new oral anticoagulants: A systematic review and meta-analysis. Curr Pharm Des 2018;24:3558-65.
Kanuri SH, Kreutz RP Pharmacogenomics of novel direct oral anticoagulants: Newly identified genes and genetic variants. J Pers Med 2019;9:1-18.
Sychev D, Minnigulov R, Bochkov P, Ryzhikova K, Yudina I, Lychagin A, et al
. Effect of CYP3A4, CYP3A5, ABCB1 gene polymorphisms on rivaroxaban pharmacokinetics in patients undergoing total hip and knee replacement surgery. High Blood Press Cardiovasc Prev 2019;26:413-20.
Ing Lorenzini K, Daali Y, Fontana P, Desmeules J, Samer C Rivaroxaban-induced hemorrhage associated with ABCB1 genetic defect. Front Pharmacol 2016;7:494:1-5.
Gouin-Thibault I, Delavenne X, Blanchard A, Siguret V, Salem JE, Narjoz C, et al
. Interindividual variability in dabigatran and rivaroxaban exposure: Contribution of ABCB1 genetic polymorphisms and interaction with clarithromycin. J Thromb Haemost 2017;15:273-83.
O’Connor CT, Kiernan TJ, Yan BP The genetic basis of antiplatelet and anticoagulant therapy: A pharmacogenetic review of newer antiplatelets (clopidogrel, prasugrel and ticagrelor) and anticoagulants (dabigatran, rivaroxaban, apixaban and edoxaban). Expert Opin Drug Metab Toxicol 2017;13:725-39.
Gong IY, Mansell SE, Kim RB Absence of both MDR1 (ABCB1) and breast cancer resistance protein (ABCG2) transporters significantly alters rivaroxaban disposition and central nervous system entry. Basic Clin Pharmacol Toxicol 2013;112:164-70.
Huppertz A, Grond-Ginsbach C, Dumschat C, Foerster KI, Burhenne J, Weiss J, et al
. Unexpected excessive apixaban exposure: Case report of a patient with polymorphisms of multiple apixaban elimination pathways. BMC Pharmacol Toxicol 2019;20:53.
Kryukov AV, Sychev DA, Andreev DA, Ryzhikova KA, Grishina EA, Ryabova AV, et al
. Influence of ABCB1 and CYP3A5 gene polymorphisms on pharmacokinetics of apixaban in patients with atrial fibrillation and acute stroke. Pharmgenomics Pers Med 2018;11:43-9.
Ueshima S, Hira D, Fujii R, Kimura Y, Tomitsuka C, Yamane T, et al
. Impact of ABCB1, ABCG2, and CYP3A5 polymorphisms on plasma trough concentrations of apixaban in Japanese patients with atrial fibrillation. Pharmacogenet Genomics 2017;27:329-36.
Dimatteo C, D’Andrea G, Vecchione G, Paoletti O, Tiscia GL, Santacroce R, et al
. ABCB1 SNP rs4148738 modulation of apixaban interindividual variability. Thromb Res 2016;145:24-6.
Gulilat M, Keller D, Linton B, Pananos AD, Lizotte D, Dresser GK, et al
. Drug interactions and pharmacogenetic factors contribute to variation in apixaban concentration in atrial fibrillation patients in routine care. J Thromb Thrombolysis 2020;49:294-303.
Paré G, Eriksson N, Lehr T, Connolly S, Eikelboom J, Ezekowitz MD, et al
. Genetic determinants of dabigatran plasma levels and their relation to bleeding. Circulation 2013;127:1404-12.
Dimatteo C, D’Andrea G, Vecchione G, Paoletti O, Cappucci F, Tiscia GL, et al
. Pharmacogenetics of dabigatran etexilate interindividual variability. Thromb Res 2016;144:1-5.
Sychev DA, Levanov AN, Shelekhova TV, Bochkov PO, Denisenko NP, Ryzhikova KA, et al
. The impact of ABCB1 (rs1045642 and rs4148738) and CES1 (rs2244613) gene polymorphisms on dabigatran equilibrium peak concentration in patients after total knee arthroplasty. Pharmgenomics Pers Med 2018;11:127-37.
Shi J, Wang X, Nguyen JH, Bleske BE, Liang Y, Liu L, et al
. Dabigatran etexilate activation is affected by the CES1 genetic polymorphism G143E (rs71647871) and gender. Biochem Pharmacol 2016;119:76-84.
Whirl-Carrillo M, McDonagh EM, Hebert JM, Gong L, Sangkuhl K, Thorn CF, et al
. Pharmacogenomics knowledge for personalized medicine. Clin Pharmacol Ther 2012;92:414-7.
DAPHNE Study: Direct Anticoagulant PHarmacogeNEtic (DAPHNE) [Internet]. Available from: https://clinicaltrials.gov/ct2/show/NCT03112525
. [Last accessed on Mar 17, 2022].
[Table 1], [Table 2], [Table 3], [Table 4]