ORIGINAL RESEARCH

Evaluation of the rivaroxaban-influenced effect of ABCB1 and CYP3A5 gene polymorphisms on prothrombin time in patients after total hip or knee replacement surgery

Sychev DA1, Minnigulov RM2, Ryzhikova KA1, Yudina IYu2, Lychagin AV2, Morozova TE2
About authors

1 Russian Medical Academy of Continuous Professional Education, Moscow

2 Sechenov First Moscow State Medical University, Moscow, Russia

Correspondence should be addressed: Radik M. Minnigulov
Bolshaya Pirogovskaya 2, build. 4, Moscow, 119435; moc.liamg@voluginnim.kidar

About paper

Funding: this study was supported by Russian Science Foundation, project 16-15-00227 “Conducting fundamental scientific research and exploratory research on priority thematic research areas”.

Acknowledgments: the authors would like to thank M. M. Bogdanov, practitioner with the Clinic of Traumatology, Orthopedics and Joint Pathology of the 1st Hospital of I. M. Sechenov First Moscow State Medical University, for his assistance in enlisting patients.

Received: 2018-10-08 Accepted: 2018-10-30 Published online: 2018-12-15
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Deep vein thrombosis (DVT) and pulmonary embolism (PE) are some of the most important problems encountered by practitioners. PE risk group includes patients after hip or knee replacement surgery. About 50–60% of THR (total hip replacement surgery) and TKR (total knee replacement surgery) patients that receive no thrombosis prevention therapy have DVT after surgery [1]. Approximately 1 in every 500 THR patients can have a fatal PE [2]. The number of THRs in Russia is increasing every year; currently, about 25 persons in each 100,000 have THRs [3].

Direct oral anticoagulants (DOACs) have recently been approved for the prevention of venous thromboembolism (VTE) in patients after elective hip or knee arthroplasty. DOACs have demonstrated acceptable efficacy and safety profiles. These drugs require no laboratory control. This article focuses on rivaroxaban, which is a direct factor Xa inhibitor. The anticoagulant got the FDA approval in 2011 as a medication to prevent thrombosis in patients after elective hip or knee arthroplasty [4].

About 18% of the rivaroxaban dose is metabolized by CYP3A4/5, 14% — by CYP2J2.
Approximately 36% of the dose is excreted via kidney in form of the unchanged drug, involving the active transporter-mediated secretion by P-glycoprotein (P-gp) and BCRP (Breast Cancer Resistance Protein) [5].
P-gp is a large membrane protein that transports drugs from inside the cell. It is found on the surface of epithelial cells lining small and large intestines, pancreatic duct, in the liver's bile vessels membrane, proximal kidney tubules and adrenal glands, as well as in endothelial cells of blood-tissue interfaces (brain-blood, blood-follicle, blood-testis, and blood-placental barriers) [6]. P-gp is encoded by the ABCB1 gene located on chromosome 7 (7q21.12) [7]. The most common single nucleotide polymorphisms (SNPs) of the ABCB1 gene are 1236T> C (rs1128503), 2677T> G / A (rs2032582) and 3435T> C (rs1045642) [8]. In this study, we focused on the impact of the ABCB1 3435C>T polymorphism (rs1045642).

Jointly, CYP3A4 and CYP3A5 proteins account for about 30% of hepatic cytochrome P450; about half of the drugs metabolized by cytochrome P450 are CYP3A substrates. CYP3A4 and CYP3A5 are expressed in liver and intestines, with CYP3A5 expression seen mostly in extrahepatic tissues. The CYP3A5 gene is located on chromosome 7 (7q22.1); it encodes the protein of 502 amino acids. The most common SNP of the CYP3A5 gene is 6986A>G (rs776746). It should be noted here that CYP3A5 6986GG genotype carriers do not fully express the CYP3A5 isoenzyme [9].

According to the RECORD 1-4 research program [1013], despite the good efficacy and safety profiles of rivaroxaban when prescribed to prevent thrombosis after hip or knee replacement surgery, 2.87% of patients exhibited nonmajor clinically relevant bleeding, including hematomas in the area of surgery that may be infected. Such complications require removal of the endoprosthesis, which worsens the patient's quality of life and translates into an additional financial burden for the health care system. Currently, practitioners resort to the personalized therapy, including pharmacogenetic testing, to prevent such adverse events.

This study aimed to investigate how the ABCB1 3435C>T (rs1045642) and CYP3A5 6986A>G (rs776746) gene polymorphisms, when carried by a patient taking rivaroxaban to prevent thrombosis after total hip or knee replacement surgery, the affect prothrombin time (PT).

METHODS

The study protocol was reviewed and approved by the local ethics committee of I. M. Sechenov First Moscow State Medical University (Sechenov University) (meeting minutes #03-17 of 2017.04.19). The inclusion criteria were: any gender; age ≥18 years; primary TKR or THR performed; thrombosis prevention therapy — 10 mg rivaroxaban OD; informed voluntary consent. The exclusion criteria were: atrial fibrillation with anticoagulant therapy; hemorrhagic diathesis; acute intracranial disease or hemorrhagic stroke recorded in the past three months; gastrointestinal bleeding, hematuria, peptic ulcer or duodenal ulcer recorded in the last 6 months; severe liver disease; liver transaminases (GPT and GOT) ≥2 upper limits of the norm in the last month; severe renal impairment (CK <30 ml/min); advanced stage of cancer; pregnancy, lactation; age <18 years.

Sixty-five persons participated in the study, 19 THR patients (29.2%) and 46 TKR patients (70.8%). They were 48 (73.8%) women and 17 (26.2%) men aged 24 to 83 years (mean age — 59 ± 12 years). Following the instructions detailing the use of the medicine for the purposes of post-surgery thrombosis prevention, the patients took 10 mg rivaroxaban once a day. THR patietns received the medicine for 35 days, TKR patients — for 14 days [14].

We purified DNA from the patients' venous blood. For the purposes of genotyping, the blood was collected into 4 ml Vacuette® vacuum tubes with EDTA-K3 anticoagulant. Real-time polymerase chain reaction (PCR) allowed genotyping ABCB1 3435C>T (rs1045642) and CYP3A5 6986A>G (rs776746) polymorphisms; we used the CFX96 Touch™ Real-Time PCR Detection System DNA amplifier (Bio-Rad Laboratories, Inc.; USA) at Research and Development center of the Russian Medical Academy of Continuous Professional Education of the Ministry of Health of Russia.

PT was the indicator reflecting the rivaroxaban's pharmacodynamic properties; to learn it, we collected venous blood of the patients on the 5th day of their anticoagulation therapy, 1 hour before they took the medicine (PT1) and 3 hours after (PT2), into 2.7 ml BD Vacutainer® vacuum tubes with 3.2% sodium citrate. PT was determined manually, using Tekhplastin-test (Tekhnologiya-Standard; Russia) in accordance with the manufacturer's instructions.

The formula %ΔPT = (PT2 – PT1) / PT1 × 100% allowed finding the differences between PT values through calculating %ΔPT, which governed the division of patients into two %ΔPT groups: 1) patients with %ΔPT ≤ 0; 2) patients with %ΔPT > 0.

The studied polymorphism genotypes frequency distribution was tested for compliance with the Hardy–Weinberg equilibrium using an online calculator [15]. To determine the difference between the groups as conditioned by the impact of ABCB1 3435C>T (rs1045642) and CYP3A5 6986A>G (rs776746) polymorphisms, we ran the chi-square test for independence. PASW Statistics 18 (2009) software was used to process the results.

RESULTS

Based on the ABCB1 3435C>T (rs1045642) polymorphism genotype, the patients were divided into 3 groups:
1) 3435CC genotype, n = 17 (26.2%); 2) 3435CT genotype, n = 27 (41.5%); 3) 3435TT genotype, n = 21 (32.3%). As for the CYP3A5 6986A>G (rs776746) polymorphism genotypes, we found 7 patients (10.8%) with 6986AG genotype (10.8%) and 58 patients (89.2%) with 6986GG genotype (tab. 1).

The ABCB1 3435C>T (rs1045642) and CYP3A5 6986A>G polymorphism genotypes distributions were within the Hardy– Weinberg equilibrium, (χ2 = 1.79; p = 0.409 and χ2 = 0.21; p = 0.9, respectively).
Among the patients participating in the study, the mean PT1 value (measured 1 hour before administration of rivaroxaban) was 15.5 ± 4.1 seconds, and the mean PT2 value (measured 3 hours after administration of rivaroxaban) was 19.1 ± 3.2 seconds. tab. 2 shows other mean PT values through the lens of their dependence on the ABCB1 3435C>T (rs1045642) and CYP3A5 6986A>G (rs776746) polymorphism genotypes.

Case-wise analysis of the PT variability revealed 7 patients (10.8%) that had a paradoxical reaction, i.e. after administration of rivaroxaban the PT in them either grew smaller or did not change (%ΔPT ≤ 0). In the remaining 58 patients (89.2%) rivaroxaban made the PT greater, as expected (%ΔPT > 0).

6 patients (85.7%) were carrying the ABCB1 3435CT genotype and none — the ABCB1 3435TT genotype in the group with %ΔPT ≤ 0. The chi-square test for independence revealed a statistically significant difference between %ΔPT groups as conditioned by the distribution of the ABCB1 3435C>T (rs1045642) polymorphism genotypes (χ2 = 6.64; p = 0.027) (tab. 3).

Patients with the ABCB1 3435CT genotype contributed the most to the difference between %ΔPT groups. tab. 4 presents "manual" determination of reliability of differences in the set of frequencies, which allows seeing the reasons behind the main difference.
As for the CYP3A5 6986A>G (rs776746) polymorphism genotypes, there were no significant differences in their distribution among %ΔPT groups (χ2 = 0.101; p = 1.0) (tab. 5).

DISCUSSION

Drugs as P-gp substrates are widely used in the routine clinical practice, which is why studying the effect ABCB1 gene polymorphisms have on pharmacodynamic and pharmacokinetic qualities of medications is a matter of great interest.

Today, many researchers investigate the impact of ABCB1 gene polymorphisms on the pharmacodynamic properties of various medicines. One of the efforts was aimed at studying the relationship between ABCB1 3435C>T polymorphism and response to antiretroviral therapy in HIV-1 patients (n = 123) that received efavirenz or nelfinavir [16]. The authors of that research found that patients with the 3435T allele respond to antiretroviral therapy better. Another work revealed no link between the ABCB1 3435C>T (rs1045642) polymorphism and virological, immunological responses to antiretroviral therapy [17].

P-gp also transports antiepileptic drugs [18]. Genotyping epilepsy patients (n = 315) by the ABCB1 3435C>T (rs1045642) polymorphism, the researchers discovered that those resistant to antiepileptic pharmacotherapy are more likely to carry the ABCB1 3435CC genotype as opposed to the patients whose response to such therapy was positive [19].

CYP3A5 gene polymorphism can contribute to the variability of CYP3A5 substrates clearance. Studying the effect CYP3A5 expression has on the pharmacological response of statins, the researchers have shown that lovastatin, simvastatin and atorvastatin are significantly less effective in CYP3A5 expressors than in non-expressors [20].

In the context of our work, which also addressed the impact of ABCB1 and CYP3A5 genes polymorphisms on the pharmacodynamic properties of a drug — rivaroxaban, in our case, — we have revealed a statistically significant difference in distribution of ABCB1 3435C> T (rs1045642) polymorphism genotypes between %ΔPT groups, one with %ΔPT ≤ 0 and another with %ΔPT > 0. The difference mainly originates with the patients carrying the ABCB1 3435CT genotype (85.7%) that belong to the %ΔPT ≤ 0 group; this may point to the necessity to adjust the dose for such people, since the standard dose of rivaroxaban may have no clinical effect in them.

The majority (89.2%) of patients participating in our study had the CYP3A5 6986GG genotype; the CYP3A5 isoenzyme was not fully expressed in their bodies. As for the distribution of CYP3A5 6986A>G (rs776746) polymorphism genotypes in the %ΔPT groups, the difference between them was insignificant, which presumably signals of the role of CYP3A5 isoenzyme in rivaroxaban pharmacokinetics being inferior to that of the P-gp membrane transporter.

Considering the discovered effect ABCB1 3435C>T (rs1045642) polymorphism has on %ΔPT under the influence of rivaroxaban, we believe it is important to research not only pharmacodynamics, but also pharmacokinetics of rivaroxaban in patients with different genotypes.

CONCLUSIONS

We discovered that ABCB1 3435C>T (rs1045642) polymorphism has a statistically significant effect on PT variance in THR and TKR patients taking rivaroxaban to prevent thrombosis. There was found no statistically significant dependence of %ΔPT on CYP3A5 6986A>G (rs776746) polymorphism. We believe it is necessary to study both pharmacodynamics and pharmacokinetics of rivaroxaban in patients with different genotypes.
The funding organization played no role in the study design, collection, analysis and interpretation of data, writing of the report, or decision to submit the report for publication.

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