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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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Autores principales: Amin, Arwa M., Sheau Chin, Lim, Azri Mohamed Noor, Dzul, SK Abdul Kader, Muhamad Ali, Kah Hay, Yuen, Ibrahim, Baharudin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379098/
https://www.ncbi.nlm.nih.gov/pubmed/28421156
http://dx.doi.org/10.1155/2017/8062796
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author Amin, Arwa M.
Sheau Chin, Lim
Azri Mohamed Noor, Dzul
SK Abdul Kader, Muhamad Ali
Kah Hay, Yuen
Ibrahim, Baharudin
author_facet Amin, Arwa M.
Sheau Chin, Lim
Azri Mohamed Noor, Dzul
SK Abdul Kader, Muhamad Ali
Kah Hay, Yuen
Ibrahim, Baharudin
author_sort Amin, Arwa M.
collection PubMed
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 pubmed-53790982017-04-18 The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and Pharmacometabolomics Amin, Arwa M. Sheau Chin, Lim Azri Mohamed Noor, Dzul SK Abdul Kader, Muhamad Ali Kah Hay, Yuen Ibrahim, Baharudin Cardiol Res Pract Review Article 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. Hindawi 2017 2017-03-21 /pmc/articles/PMC5379098/ /pubmed/28421156 http://dx.doi.org/10.1155/2017/8062796 Text en Copyright © 2017 Arwa M. Amin et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Article
Amin, Arwa M.
Sheau Chin, Lim
Azri Mohamed Noor, Dzul
SK Abdul Kader, Muhamad Ali
Kah Hay, Yuen
Ibrahim, Baharudin
The Personalization of Clopidogrel Antiplatelet Therapy: The Role of Integrative Pharmacogenetics and Pharmacometabolomics
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
topic Review Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5379098/
https://www.ncbi.nlm.nih.gov/pubmed/28421156
http://dx.doi.org/10.1155/2017/8062796
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