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Pharmacogenetics of Drug Metabolism: Overview01:27

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Genetic polymorphism in drug metabolism is crucial to the inter-individual variability observed in drug responses. Drug metabolism primarily involves the chemical modification of drugs and other xenobiotics to enhance their elimination by increasing their polarity. Two main classes of enzymes mediate this biotransformation process: Phase I enzymes, primarily cytochrome P450s, catalyze oxidation and reduction reactions, while other enzymes, such as esterases, mediate hydrolysis, and Phase II...
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Pharmacogenetic Phenotypes: Alterations in Pharmacokinetics, Drug Targets and Biologic Milieu01:29

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Genetic variations significantly influence drug response through pharmacokinetics, receptor interactions, and biologic milieu modifications. Pharmacokinetic alterations impact drug metabolism and clearance, affecting efficacy and toxicity. Variants in drug-metabolizing enzymes, such as CYP2C9 and CYP2C19, alter drug activation and elimination. For example, CYP2C9 loss-of-function variants require lower warfarin doses to prevent excessive bleeding, while CYP2C19 variants reduce clopidogrel...
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Oral anticoagulants are vital tools in preventing and treating blood clotting disorders. This diverse class of medications can be categorized as vitamin K antagonists, exemplified by warfarin, and direct thrombin inhibitors (DTIs), such as dabigatran, as well as factor Xa inhibitors, including rivaroxaban.
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Pharmacogenetics and pharmacogenomics examine how genetic factors influence an individual's response to drugs. While pharmacogenetics focuses on the impact of specific genetic variants on drug effects, pharmacogenomics takes a broader approach, studying how genetic variation across populations contributes to differences in drug responses. These fields aim to explain why individuals may experience varying levels of efficacy or adverse reactions to the same medication.Variability in drug...
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Hemostasis is a crucial process that prevents excessive blood loss from damaged blood vessels. It involves various mechanisms such as vasoconstriction, platelet adhesion and activation, and fibrin formation. The importance of each mechanism depends on the type of vessel injury. In contrast, thrombosis is the abnormal formation of a blood clot within the blood vessels, leading to potential complications if the clot obstructs blood flow. Thrombosis can be caused by increased coagulability of the...
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Pharmacogenomics: Identification of New Drug Targets01:29

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Advances in genomics have profoundly influenced drug discovery by increasing both the speed and accuracy of pharmaceutical development. Pharmacogenomics, which examines how genetic variation influences drug response, facilitates the identification of novel therapeutic targets and enables patient stratification for personalized treatment. These strategies contribute to improved drug efficacy, minimized adverse effects, and more efficient clinical trial design.Mapping genetic differences...
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Related Experiment Video

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Warfarin pharmacogenomics: current best evidence.

S E Kimmel1

  • 1Department of Medicine and Department of Biostatistics and Epidemiology, Perelman University of Pennsylvania School of Medicine, Philadelphia, PA, USA.

Journal of Thrombosis and Haemostasis : JTH
|July 8, 2015
PubMed
Summary

Genetic information improves warfarin dosing compared to fixed doses, but not when added to clinical information alone. Pharmacogenetic algorithms enhance anticoagulation control over fixed dosing strategies.

Keywords:
drug therapygeneticspharmacogeneticsrandomized controlled trials as topicwarfarin

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Area of Science:

  • Pharmacogenomics
  • Clinical Pharmacology
  • Anticoagulation Therapy

Background:

  • The role of genetic information in guiding warfarin dosing remains debated.
  • Previous studies yielded conflicting results on the utility of pharmacogenetic-guided anticoagulation.

Purpose of the Study:

  • To evaluate the incremental benefit of genetic information in warfarin dosing strategies.
  • To compare pharmacogenetic algorithms with standard clinical dosing and fixed dosing.

Main Methods:

  • Analysis of recent large clinical trials (COAG, EU-PACT UK) investigating pharmacogenetic dosing of warfarin, acenocoumarol, and phenprocoumon.
  • Comparison of pharmacogenetic-based dosing algorithms against clinical information-based dosing and fixed-dose strategies.

Main Results:

  • The COAG and acenocoumarol/phenprocoumon studies showed no incremental benefit of adding genetic information to clinical information.
  • The EU-PACT UK trial demonstrated improved outcomes with a pharmacogenetic algorithm compared to fixed dosing.
  • Pharmacogenetic algorithms, not just genetic information added to clinical data, showed improved anticoagulation control.

Conclusions:

  • Current evidence does not support adding genetic information to clinical data for improved anticoagulation control.
  • Pharmacogenetic algorithms offer an advantage over fixed dosing strategies for anticoagulation management.