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[Companion Diagnostics for Thrombotic Disease].

Authors: Yuya, Masuda; Kazuhiko, Matsuno; Chikara, Shimizu;

[Companion Diagnostics for Thrombotic Disease].

Abstract

In recent years, thrombotic disease, including myocardial infarction and ischemic stroke, has rapidly increased in Japan. To treat and prevent thromboembolism, warfarin has been commonly prescribed for a long period as an oral anticoagulant. However, it is difficult to define an appropriate warfarin dose because of large inter-individual variability in dose requirements and the narrow therapeutic range. Recent pharmacogenomic (PGx) studies have shown that several single nucleotide polymorphisms (SNPs) in CYP2C9 (warfarin metabolic enzyme) and VKORC1 (warfarin target enzyme) are responsible for an individual's warfarin sensitivity. In order to realize personalized warfarin treatment, algorithms to estimate the required warfarin dose based on PGx are under consideration, including the cost-effectiveness. Recently, novel oral anticoagulants (NOACs; dabigatran, rivaroxaban, apixaban, and edoxaban) have become available as well as alternatives to warfarin treatment for the prevention of ischemic stroke in non-valvular atrial fibrillation. Although NOACs are prescribed at a fixed-dose without frequent monitoring of blood coagulability, it has been reported that there is inter-individual variability in the blood concentration of dabigatran caused by gene polymorphisms. Further studies are needed to perform more effective and safer anticoagulant therapy using NOACs. Progress in PGx studies and the realization of personalized anticoagulant therapy are expected in the future. [Review].

Keywords

Pharmacogenetics, Vitamin K Epoxide Reductases, Administration, Oral, Anticoagulants, Humans, Thrombosis, Warfarin, Precision Medicine, Polymorphism, Single Nucleotide, Cytochrome P-450 CYP2C9, Dabigatran

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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