Related Experiment Video

Updated: Jun 18, 2025

A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene
07:00

A Method to Study the C924T Polymorphism of the Thromboxane A2 Receptor Gene

Published on: April 1, 2019

10.0K

Pharmacogenomic Polygenic Model of Clopidogrel Predicts Recurrent Ischemic Events in Chinese Patients With Coronary

Xinyi Zhang1, Yuchun Cai1, Pei Zhou2

  • 1Department of Pharmacy Administration and Clinical Pharmacy, School of Pharmaceutical Science, Peking University, Beijing, China.

Clinical Therapeutics
|July 27, 2024
PubMed

Insights

A polygenic model integrating multiple genetic variants may predict clopidogrel drug response in coronary artery disease patients. Patients with more risk alleles showed a higher risk of ischemic events, suggesting personalized antiplatelet therapy potential.

Area of Science:

  • Pharmacogenomics
  • Cardiovascular Medicine
  • Genetics

Background:

  • Coronary artery disease (CAD) patients require antiplatelet therapy to prevent thrombosis.
  • Inter-individual variability exists in patient response to antiplatelet drugs like clopidogrel.
  • Genetic variants may influence clopidogrel drug response, with multiple variants potentially acting synergistically.

Purpose of the Study:

  • To investigate the potential of a polygenic model to predict clopidogrel drug response in CAD patients.
  • To assess if a higher number of risk alleles correlates with a worse clopidogrel drug response.
  • To determine if a polygenic approach offers better prediction of clopidogrel response variability compared to single variants.

Main Methods:

  • Enrolled 935 CAD patients for the study.
  • Investigated associations between 19 clopidogrel-related single-nucleotide polymorphisms (SNPs) and recurrent ischemic events.
  • Constructed a polygenic model using 6 SNPs to assess ischemic event risk.

Main Results:

  • Two CYP2C8 gene SNPs (rs1934980 and rs17110453) showed nominal association with recurrent ischemic events.
  • The constructed polygenic model indicated that patients with 7 or more risk alleles had a significantly higher risk of ischemic events (HR=1.87, P=0.04) compared to those with 6 or fewer.
  • The polygenic model integrated 6 clopidogrel-related SNPs.

Conclusions:

  • A polygenic model incorporating multiple genetic variants shows promise for predicting clopidogrel drug response in CAD patients.
  • This approach may help identify patients at higher risk for adverse events, enabling personalized antiplatelet therapy.
  • Further research into polygenic risk scores could refine antiplatelet treatment strategies.
Abstract

Keywords:
ClopidogrelCoronary artery diseasePolygenicRecurrent ischemic events

More Related Videos

Microfluidics in Assessing Platelet Function06:47

Microfluidics in Assessing Platelet Function

Published on: November 8, 2024

829
Network Pharmacology Prediction and Metabolomics Validation of the Mechanism of Fructus Phyllanthi against Hyperlipidemia11:06

Network Pharmacology Prediction and Metabolomics Validation of the Mechanism of Fructus Phyllanthi against Hyperlipidemia

Published on: April 7, 2023

1.9K

Related Concept Videos

Antiplatelet Drugs: Prostaglandin Synthesis, P2Y12 and Glycoprotein IIb/IIIa Inhibitors01:20

Antiplatelet Drugs: Prostaglandin Synthesis, P2Y12 and Glycoprotein IIb/IIIa Inhibitors

Antiplatelet drugs emerge as frontline defenders against the insidious threat of thromboembolic diseases, where abnormal clots obstruct vital blood vessels. These drugs stand as bulwarks, inhibiting platelet aggregation and clot formation, thereby mitigating the risk of life-threatening conditions like myocardial infarction, coronary artery disease, and thrombotic strokes.
Prostaglandin synthesis inhibitors, exemplified by the widely known aspirin, wield their power by irreversibly acetylating...
505
Analysis of Population Pharmacokinetic Data01:12

Analysis of Population Pharmacokinetic Data

Analysis of population pharmacokinetic data involves studying the behavior of drugs within diverse populations to understand their pharmacokinetic parameters. Traditional pharmacokinetic methods typically involve collecting samples from a few individuals and estimating these parameters. While these methods are commonly used, they have limitations in capturing the variability in drug response among individuals or heterogeneous populations. Population pharmacokinetics is employed to address these...
244
Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance01:07

Physiological Pharmacokinetic Models: Incorporating Hepatic Transporter-Mediated Clearance

Drug transporters are critical in drug absorption, distribution, and excretion processes. They should be included in physiological-based pharmacokinetic (PBPK) models, which help predict human drug disposition. However, predicting this is challenging during drug development, especially when liver transport is involved. However, with a realistic representation of body transport processes, an accurate model may be possible.
A recent model describes pravastatin's hepatobiliary excretion,...
36
Genome-wide Association Studies-GWAS01:11

Genome-wide Association Studies-GWAS

Genome-wide association studies or GWAS are used to identify whether common SNPs are associated with certain diseases. Suppose specific SNPs are more frequently observed in individuals with a particular disease than those without the disease. In that case, those SNPs are said to be associated with the disease. Chi-square analysis is performed to check the probability of the allele likely to be associated with the disease.
GWAS does not require the identification of the target gene involved in...
13.3K
Nonlinear Pharmacokinetics: Dependence of Elimination Half-Life and Dose Clearance01:23

Nonlinear Pharmacokinetics: Dependence of Elimination Half-Life and Dose Clearance

The elimination half-life and drug clearance of drugs following nonlinear kinetics can vary with dosage. The Michaelis-Menten parameters and drug concentration influence these factors. As the dose increases, the elimination half-life tends to lengthen, resulting in a reduction in clearance and a disproportionately larger area under the curve. The total clearance can be derived from the Michaelis-Menten equation for drugs following a one-compartment model.
A study on guinea pigs examined the...
110
Pharmacokinetic Models: Comparison and Selection Criterion01:26

Pharmacokinetic Models: Comparison and Selection Criterion

Physiological and compartmental models are valuable tools used in studying biological systems. These models rely on differential equations to maintain mass balance within the system, ensuring an accurate representation of the dynamic processes at play.
Physiological models take a detailed approach by considering specific molecular processes. They can predict drug distribution, metabolism, and elimination changes, providing a comprehensive understanding of how drugs interact with the body.
64