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Toward Genetic Testing of Rivaroxaban? Insights from a Systematic Review on the Role of Genetic Polymorphism in Rivaroxaban Therapy

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Abstract

Background

Investigations into the rivaroxaban response from the perspective of genetic variation have been relatively recent and wide in scope, whereas there is no consensus on the necessity of genetic testing of rivaroxaban. Thus, this systematic review aims to thoroughly evaluate the relationship between genetic polymorphisms and rivaroxaban outcomes.

Methods

The PubMed, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and Chinese databases were searched to 23 October 2022. We included cohort studies reporting the pharmacogenetic correlation of rivaroxaban. Outcomes measured included efficacy (all-cause mortality, thromboembolic events and coagulation-related tests), safety (major bleeding, clinically relevant non-major bleeding [CRNMB] and any hemorrhage), and pharmacokinetic outcomes. A narrative synthesis was performed to summarize findings from individual studies according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses and the reporting guideline for Synthesis Without Meta-Analysis.

Results

A total of 12 studies published between 2019 and 2022 involving 1364 patients were included. Ten, one, and six studies focused on the ABCB1, ABCG2, and CYP gene polymorphisms, respectively. Pharmacokinetic outcomes accounted for the majority of the outcomes reported (n = 11), followed by efficacy (n = 5) [including prothrombin time (PT) or international normalized ratio (n = 3), platelet inhibition rate (PIR) or platelet reactivity units (PRUs; n = 1), thromboembolic events (n = 1)], and safety (n = 5) [including major bleeding (n = 2), CRNMB (n = 2), any hemorrhage (n = 1)]. For ABCB1 gene polymorphism, the relationship between PT and ABCB1 rs1045642 was inconsistent across studies, however there was no pharmacogenetic relationship with other efficacy outcomes. Safety associations were found in ABCB1 rs4148738 and major bleeding, ABCB1 rs4148738 and CRNMB, ABCB1 rs1045642 and CRNMB, and ABCB1 rs2032582 and hemorrhage. Pharmacokinetic results were inconsistent among studies. For ABCG2 gene polymorphism, no correlation was observed between ABCG2 rs2231142 and dose-adjusted trough concentration (Cmin/D). For CYP gene polymorphisms, PIR or PRUs have a relationship with CYP2C19 rs12248560, however bleeding or pharmacokinetic effects did not show similar results.

Conclusions

Currently available data are insufficient to confirm the relationship between clinical or pharmacokinetic outcomes of rivaroxaban and gene polymorphisms. Proactive strategies are advised as a priority in clinical practice rather than detection of SNP genoty**.

Clinical Trials Registration

PROSPERO registration number CRD42022347907.

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References

  1. Chen A, Stecker E, Warden BA. Direct oral anticoagulant use: a practical guide to common clinical challenges. J Am Heart Assoc. 2020;9(13):e17559.

    Article  Google Scholar 

  2. Haas S. Rivaroxaban – an oral, direct Factor Xa inhibitor: lessons from a broad clinical study programme. Eur J Haematol. 2009;82(5):339–49.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  3. US FDA. XARELTO (Rivaroxaban): Summary of Product Characteristics. Available at: https://www.accessdata.fda.gov/drugsatfda_docs/label/2014/022406s015lbl.pdf. Accessed 10 Jun 2023.

  4. Chaudhary R, Sharma T, Garg J, et al. Direct oral anticoagulants: a review on the current role and scope of reversal agents. J Thromb Thrombolysis. 2020;49(2):271–86.

    Article  PubMed  Google Scholar 

  5. Chan N, Sobieraj-Teague M, Eikelboom JW. Direct oral anticoagulants: evidence and unresolved issues. Lancet. 2020;396(10264):1767–76.

    Article  CAS  PubMed  Google Scholar 

  6. Douxfils J, Ageno W, Samama CM, et al. Laboratory testing in patients treated with direct oral anticoagulants: a practical guide for clinicians. J Thromb Haemost. 2018;16(2):209–19.

    Article  CAS  PubMed  Google Scholar 

  7. Konicki R, Weiner D, Herbert PJ, et al. Rivaroxaban precision dosing strategy for real-world atrial fibrillation patients. Clin Transl Sci. 2020;13(4):777–84.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Seiffge DJ, Traenka C, Polymeris A, et al. Feasibility of rapid measurement of Rivaroxaban plasma levels in patients with acute stroke. J Thromb Thrombolysis. 2017;43(1):112–6.

    Article  CAS  PubMed  Google Scholar 

  9. Miklic M, Mavri A, Vene N, et al. Intra- and inter- individual rivaroxaban concentrations and potential bleeding risk in patients with atrial fibrillation. Eur J Clin Pharmacol. 2019;75(8):1069–75.

    Article  CAS  PubMed  Google Scholar 

  10. Yi YH, Gong S, Gong TL, et al. New oral anticoagulants for venous thromboembolism prophylaxis in total hip and knee arthroplasty: a systematic review and network meta-analysis. Front Pharmacol. 2021;12: 775126.

    Article  CAS  PubMed  Google Scholar 

  11. Kanuri SH, Kreutz RP. Pharmacogenomics of novel direct oral anticoagulants: newly identified genes and genetic variants. J Pers Med. 2019;9(1):7.

    Article  PubMed  PubMed Central  Google Scholar 

  12. Raymond J, Imbert L, Cousin T, et al. Pharmacogenetics of direct oral anticoagulants: a systematic review. J Pers Med. 2021;11(1):37.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Sychev DA, Sokolov AV, Reshetko OV, et al. Influence of ABCB1, CYP3A5 and CYP3A4 gene polymorphisms on prothrombin time and the residual equilibrium concentration of rivaroxaban in patients with non-valvular atrial fibrillation in real clinical practice. Pharmacogent Genom. 2022;32(9):301–7.

    Article  CAS  Google Scholar 

  14. Sychev D, Ostroumova O, Cherniaeva M, et al. The Influence of ABCB1 (rs1045642 and rs4148738) Gene Polymorphisms on Rivaroxaban Pharmacokinetics in Patients Aged 80 Years and Older with Nonvalvular Atrial Fibrillation. High Blood Pressure & Cardiovascular Prevention. 2022;29(5):469–80.

    Article  CAS  Google Scholar 

  15. Lenoir C, Terrier J, Gloor Y, et al. Impact of the genotype and phenotype of CYP3A and P-gp on the apixaban and rivaroxaban exposure in a real-world setting. J Pers Med. 2022;12(4):526.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Campbell M, McKenzie JE, Sowden A, et al. Synthesis without meta-analysis (SWiM) in systematic reviews: reporting guideline. BMJ. 2020;368: l6890.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372: n71.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Pignatelli P, Pastori D, Bartimoccia S, et al. Anti Xa oral anticoagulants inhibit in vivo platelet activation by modulating glycoprotein VI shedding. Pharmacol Res. 2016;113(Pt A):484–9.

    Article  CAS  PubMed  Google Scholar 

  19. Petzold T, Thienel M, Dannenberg L, et al. Rivaroxaban reduces arterial thrombosis by inhibition of FXa-driven platelet activation via protease activated receptor-1. Circ Res. 2020;126(4):486–500.

    Article  CAS  PubMed  Google Scholar 

  20. Trikalinos TA, Salanti G, Khoury MJ, et al. Impact of violations and deviations in Hardy-Weinberg equilibrium on postulated gene-disease associations. Am J Epidemiol. 2006;163(4):300–9.

    Article  PubMed  Google Scholar 

  21. Wells G, Shea B, O'Connell D, et al. The Newcastle-Ottawa Scale (NOS) for assessing the quality of nonrandomised studies in meta-analyses. 2011. Available at: http://www.ohri.ca/programs/clinical_epidemiology/oxford.htm. Accessed 10 Jun 2023.

  22. Lo CK, Mertz D, Loeb M. Newcastle-Ottawa Scale: comparing reviewers’ to authors’ assessments. Bmc Med Res Methodol. 2014;14:45.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Sedgwick P. Meta-analyses: what is heterogeneity? BMJ. 2015;350: h1435.

    Article  PubMed  Google Scholar 

  24. Zhang D, Qin W, Du W, et al. Effect of ABCB1 gene variants on rivaroxaban pharmacokinetic and hemorrhage events occurring in patients with non-valvular atrial fibrillation. Biopharm Drug Dispos. 2022;43(4):163–71.

    Article  PubMed  Google Scholar 

  25. Zhang F, Chen X, Wu T, et al. Population pharmacokinetics of rivaroxaban in chinese patients with non-valvular atrial fibrillation: a prospective multicenter study. Clin Pharmacokinet. 2022;61(6):881–93.

    Article  CAS  PubMed  Google Scholar 

  26. Rytkin E, Bure IV, Bochkov PO, et al. MicroRNAs as novel biomarkers for rivaroxaban therapeutic drug monitoring. Drug Metab Pers Ther. 2022;37(1):41–6.

    Article  CAS  Google Scholar 

  27. Nakagawa J, Kinjo T, Iizuka M, et al. Impact of gene polymorphisms in drug-metabolizing enzymes and transporters on trough concentrations of rivaroxaban in patients with atrial fibrillation. Basic Clin Pharmacol. 2021;128(2):297–304.

    Article  CAS  Google Scholar 

  28. Wang Y, Chen M, Chen H, et al. Influence of ABCB1 gene polymorphism on rivaroxaban blood concentration and hemorrhagic events in patients with atrial fibrillation. Front Pharmacol. 2021;12: 639854.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Sychev DA, Baturina OA, Mirzaev KB, et al. CYP2C19*17 may increase the risk of death among patients with an acute coronary syndrome and non-valvular atrial fibrillation who receive clopidogrel and rivaroxaban. Pharmgenomics Pers Med. 2020;13:29–37.

    CAS  PubMed  PubMed Central  Google Scholar 

  30. **ang J. Correlation study of ABCB1 and CES1 gene polymorphisms with rivaroxaban/dabigatran plasma concentration and drug safety in patients with atrial fibrillation. MS thesis, ChongQing Medical University; 2020.

  31. Cosmi B, Salomone L, Cini M, et al. The effect of rs4148738 polymorphism of ABCB1 on the plasma concentrations of direct oral anticoagulants and bleeding an thromboembolic complications. Res Pract Thromb Haemost. 2020;4(Suppl 1):1250–1.

    Google Scholar 

  32. Sychev D, Minnigulov R, Bochkov P, 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(5):413–20.

    Article  CAS  PubMed  Google Scholar 

  33. Mueck W, Stampfuss J, Kubitza D, et al. Clinical pharmacokinetic and pharmacodynamic profile of rivaroxaban. Clin Pharmacokinet. 2014;53(1):1–16.

    Article  CAS  PubMed  Google Scholar 

  34. Zanger UM, Schwab M. Cytochrome P450 enzymes in drug metabolism: regulation of gene expression, enzyme activities, and impact of genetic variation. Pharmacol Ther. 2013;138(1):103–41.

    Article  CAS  PubMed  Google Scholar 

  35. Weinz C, Schwarz T, Kubitza D, et al. Metabolism and excretion of rivaroxaban, an oral, direct factor Xa inhibitor, in rats, dogs, and humans. Drug Metab Dispos. 2009;37(5):1056–64.

    Article  CAS  PubMed  Google Scholar 

  36. Gnoth MJ, Buetehorn U, Muenster U, et al. In vitro and in vivo P-glycoprotein transport characteristics of rivaroxaban. J Pharmacol Exp Ther. 2011;338(1):372–80.

    Article  CAS  PubMed  Google Scholar 

  37. Mueck W, Kubitza D, Becka M. Co-administration of rivaroxaban with drugs that share its elimination pathways: pharmacokinetic effects in healthy subjects. Br J Clin Pharmacol. 2013;76(3):455–66.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  38. Hodges LM, Markova SM, Chinn LW, et al. Very important pharmacogene summary: ABCB1 (MDR1, P-glycoprotein). Pharmacogenet Genom. 2011;21(3):152–61.

    Article  CAS  Google Scholar 

  39. Cusatis G, Sparreboom A. Pharmacogenomic importance of ABCG2. Pharmacogenomics. 2008;9(8):1005–9.

    Article  CAS  PubMed  Google Scholar 

  40. 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(3):164–70.

    Article  CAS  PubMed  Google Scholar 

  41. Terrier J, Gaspar F, Fontana P, et al. Drug-drug interactions with direct oral anticoagulants: practical recommendations for clinicians. Am J Med. 2021;134(8):939–42.

    Article  CAS  PubMed  Google Scholar 

  42. Wieland E, Shipkova M. Pharmacokinetic and pharmacodynamic drug monitoring of direct-acting oral anticoagulants: where do we stand? Ther Drug Monit. 2019;41(2):180–91.

    Article  CAS  PubMed  Google Scholar 

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Correspondence to Rongsheng Zhao or Zhanmiao Yi.

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Funding

This work was supported by the National Key R&D Program of China (2020YFC2008305) and the National Natural Science Foundation of China (NSFC) [72074005, 72104003].

Conflicts of Interest

Yi Ma, Zaiwei Song, **nya Li, Dan Jiang, Rongsheng Zhao, and Zhanmiao Yi declare they have no potential conflicts of interest that might be relevant to the contents of this manuscript.

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Data Availability Statement

All data generated and/or analyzed during this study are included in this published article (and its supplementary information files).

Authors’ Contributions

ZMY and RSZ conceived and designed the study. YM and ZWS collected and analyzed the data and performed the statistical analysis. YM and ZWS wrote the article. XYL and DJ prepared the pictures and tables. ZMY and RSZ provided suggestions and participated in the revision of the article. All authors read and approved the final manuscript.

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Ma, Y., Song, Z., Li, X. et al. Toward Genetic Testing of Rivaroxaban? Insights from a Systematic Review on the Role of Genetic Polymorphism in Rivaroxaban Therapy. Clin Pharmacokinet 63, 279–291 (2024). https://doi.org/10.1007/s40262-024-01358-3

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