Pharmocogenetics Flashcards
potential causes of variability in drug effects
-Pathogenesis and the severity of the disease being treated
-Drug interactions from concomitant treatment (plasma protein binding, metabolism)
-Individual’s age, gender, lifestyle (including environmental factors), behaviour, nutritional state, renal and liver function, and concomitatnt illnesses
-Genetic variation
What can allele differences affect
Pharmokinetic factors
-ADME
Pharmacodynamic factors
-Target proteins
-Downstream messengers
Phase 1 metabolism (Oxidation)
Oxidation by CYP450s
over 1000 CYP450 enzymes identified (57 active enzymes in human).
Expressed mainly in the liver
Multiple alleles with different frequencies in different ethnic groups
P450 enzyme function
P450 enzymes oxidise drugs or other xenobiotics in order to:
-Increase polarity and enhance excretion (decrease resorption in distal nephron)
-Convert to substrate for phase 2 metabolism
Important CYP450s in drug metabolism
-CYP3A4 (most important: 50%)
-CYP2D6 (next in line: 20%)
-CYP2C9 and 2C19 (next (15%))
Phase II metabolism
Known as conjunction
-substrate is phase I reaction product or other endogenous compound (eg. steroid hormones)
-Conjugation of highly polar glucuronide enhances water solubility/decreases lipid solubility and thereby promotes excretion
-Fewer genes and functional variants than P450s
Most relevant variations in pharmacogenetics
-Insertions/deletions (small and large)
-Single nucleotide polymorphisms (SNPs)
SNPs
The most commonly occuring genetic difference
they are single base pair positions in genomic DNA at which different sequence alternatives (alleles) exist wherein the least frequent allele has an abundance of 1% or greater
SNP rate and size
Estimated to occur throughout genome at a rate of between 3 and 6 per 1000 base pairs
There are expected to be a total of 10-20M SNPs in human population
Pharmacogenetics
The effects of an individual’s genotype on the pharmacokinetics and pharmacodynamics of drug action
Warfarin function
Warfarin inhibits vitamin K reductase which is the enzyme responsible for recycling oxidated vitamin K back into the system. For this reason, drugs in this class are referred to as Vitamin K antagonists
Warfarin history and prescription
Discovered 60 years ago and one of the most widely prescribed drugs in the world
Intended to prevent and treat thromboembolisms
-Anticoagulant
-1,2,2.5,3-6,7.5 and 10 mg tablet strengths
Safety of Warfarin
-Major risk is bleeding: frequent and severe
-1.2-7 major bleeding episodes per 100 patients
-Responsible for 1 in 10 hospital admissions
DNA testing for Warfarin sensitivity
FDA clinical Pharmacology Subcommittee of the Advisory Committee for Pharmaceutical Sciences recommends testing for variations in CYP2C9 and VKORC1
Warfarin Metabolism based off genes
-Two polymorphic genes, CYP2C9 and VKORC1 affect warfarin metabolism and response
-Allelelic frequencies of these two genes are usually associated with ethnicity
-Overdose can result in bleeding which can be fatal
-Underdose can result in thrombosis which can be fatal
Population differences in warfarin dose
-European-mean~ 5mg/d
-African-American-higher~6.0-7.0mg/d
-Asian-lower~3.0-3.5mg/d
Haplotype contributing to racial variability in warfarin dosing
VKORC1 haplotypes
VKORC1
Vitamin K epOxide Reductase Complex subunit 1
VKORC1 variants effect
The polymorphisms may explain up to 25% of patient variability in response to warfarin. Patients with VKORC1 polymorphisms are at risk for exaggerated anticoagulant response
CYP2C9 variant effect
Variants take more time to achieve stable dosing and are associated with an increased risk of bleeding events.
Low CYP2C9 activity results in higher plasma levels of warfarin so the patient is at risk for bleeding.
Contributes 10% dose variation especially in Caucasians
Warfarin Sensitivity Test
It determines presence of specific variations of CYP2C9 and VKORC1 genes
CYP2C9 is involved in warfarin metabolism and VKORC1 influences warfarin’s anticoagulation effect through vitamin K
Differences between types of drugs and metaboliser phenotype
How does Pharmacogenomics determine therapeutic course
It uses panels of polymorphisms to calculate the relative risk-benefit ratio of a particular therapeutic course for an individual patient