The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and Pharmacometabolomics

Dual antiplatelet therapy of aspirin and clopidogrel is pivotal for patients undergoing percutaneous coronary intervention. However, the variable platelets reactivity response to clopidogrel may lead to outcome failure and recurrence of cardiovascular events. Although many genetic and nongenetic fac...

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Main Authors: Arwa M. Amin, Lim Sheau Chin, Dzul Azri Mohamed Noor, Muhamad Ali SK Abdul Kader, Yuen Kah Hay, Baharudin Ibrahim
Format: Article
Language:English
Published: Wiley 2017-01-01
Series:Cardiology Research and Practice
Online Access:http://dx.doi.org/10.1155/2017/8062796
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author Arwa M. Amin
Lim Sheau Chin
Dzul Azri Mohamed Noor
Muhamad Ali SK Abdul Kader
Yuen Kah Hay
Baharudin Ibrahim
author_facet Arwa M. Amin
Lim Sheau Chin
Dzul Azri Mohamed Noor
Muhamad Ali SK Abdul Kader
Yuen Kah Hay
Baharudin Ibrahim
author_sort Arwa M. Amin
collection DOAJ
description Dual antiplatelet therapy of aspirin and clopidogrel is pivotal for patients undergoing percutaneous coronary intervention. However, the variable platelets reactivity response to clopidogrel may lead to outcome failure and recurrence of cardiovascular events. Although many genetic and nongenetic factors are known, great portion of clopidogrel variable platelets reactivity remain unexplained which challenges the personalization of clopidogrel therapy. Current methods for clopidogrel personalization include CYP2C19 genotyping, pharmacokinetics, and platelets function testing. However, these methods lack precise prediction of clopidogrel outcome, often leading to insufficient prediction. Pharmacometabolomics which is an approach to identify novel biomarkers of drug response or toxicity in biofluids has been investigated to predict drug response. The advantage of pharmacometabolomics is that it does not only predict the response but also provide extensive information on the metabolic pathways implicated with the response. Integrating pharmacogenetics with pharmacometabolomics can give insight on unknown genetic and nongenetic factors associated with the response. This review aimed to review the literature on factors associated with the variable platelets reactivity response to clopidogrel, as well as appraising current methods for the personalization of clopidogrel therapy. We also aimed to review the literature on using pharmacometabolomics approach to predict drug response, as well as discussing the plausibility of using it to predict clopidogrel outcome.
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spelling doaj-art-f90581254e0b4605874d8caa78d7c0562025-02-03T01:23:21ZengWileyCardiology Research and Practice2090-80162090-05972017-01-01201710.1155/2017/80627968062796The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and PharmacometabolomicsArwa M. Amin0Lim Sheau Chin1Dzul Azri Mohamed Noor2Muhamad Ali SK Abdul Kader3Yuen Kah Hay4Baharudin Ibrahim5School of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, MalaysiaSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, MalaysiaSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, MalaysiaCardiology Department, Hospital Pulau Pinang, Penang, MalaysiaSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, MalaysiaSchool of Pharmaceutical Sciences, Universiti Sains Malaysia, Penang, MalaysiaDual antiplatelet therapy of aspirin and clopidogrel is pivotal for patients undergoing percutaneous coronary intervention. However, the variable platelets reactivity response to clopidogrel may lead to outcome failure and recurrence of cardiovascular events. Although many genetic and nongenetic factors are known, great portion of clopidogrel variable platelets reactivity remain unexplained which challenges the personalization of clopidogrel therapy. Current methods for clopidogrel personalization include CYP2C19 genotyping, pharmacokinetics, and platelets function testing. However, these methods lack precise prediction of clopidogrel outcome, often leading to insufficient prediction. Pharmacometabolomics which is an approach to identify novel biomarkers of drug response or toxicity in biofluids has been investigated to predict drug response. The advantage of pharmacometabolomics is that it does not only predict the response but also provide extensive information on the metabolic pathways implicated with the response. Integrating pharmacogenetics with pharmacometabolomics can give insight on unknown genetic and nongenetic factors associated with the response. This review aimed to review the literature on factors associated with the variable platelets reactivity response to clopidogrel, as well as appraising current methods for the personalization of clopidogrel therapy. We also aimed to review the literature on using pharmacometabolomics approach to predict drug response, as well as discussing the plausibility of using it to predict clopidogrel outcome.http://dx.doi.org/10.1155/2017/8062796
spellingShingle Arwa M. Amin
Lim Sheau Chin
Dzul Azri Mohamed Noor
Muhamad Ali SK Abdul Kader
Yuen Kah Hay
Baharudin Ibrahim
The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and Pharmacometabolomics
Cardiology Research and Practice
title The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and Pharmacometabolomics
title_full The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and Pharmacometabolomics
title_fullStr The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and Pharmacometabolomics
title_full_unstemmed The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and Pharmacometabolomics
title_short The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and Pharmacometabolomics
title_sort personalization of clopidogrel antiplatelet therapy the role of integrative pharmacogenetics and pharmacometabolomics
url http://dx.doi.org/10.1155/2017/8062796
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