CYPs/Pharmacogenomics Flashcards

1
Q

CYP3A4 (Polymorphisms, Key Features, Metabolizing Drugs, Inducers/Inhibitors)

A

MOST COMMON CYP-DEPENDENT REACTIONS 1. No Polymorphisms 2. Large Active site - binds multiple shapes 3. Metabolizes Benzodiazepines (-azolams & -azepams) with the help of CYP2C19 with -azepams Metabolizes Propanolol 4. Induced by Echinacea + St. John’s Wort (acts by nuclear receptor) 5. Metabolizes high doses of Acetaminophen (with CYP2E1 to produce bad NAPQI)

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2
Q

CYP2D6 (Polymorphisms, Key Features, Metabolizing Drugs, Inducers/Inhibitors)

A
  1. MOST COMMON POLYMORPHISMS AMONG ALL CYPS Poor Metabolizers: Inherit 2 mutant CYP2D6 alleles, low enzyme activity, standard drug active longer, need lower dose Ultra-Rapid Metabolizers: duplification/amplification of CYP2D6 allele, standard drug may not reach therapeutic level, need to raise dose 2. Metabolizes Metoprolol, Opioids (Hydrocodone + Codeine)*, CNS drugs *For pro-drug, poor metabolizers need higher dose and rapid metabolizers need smaller dose (actually need to consider alternative because dosing unpredictable according to CPIC)
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3
Q

CYP2C19 (Polymorphisms, Key Features, Metabolizing Drugs, Inducers/Inhibitors)

A
  1. Some polymorphisms 2. Metabolizes long-acting -azepams with CYP3A4 (functionalizes mLcs for glucuronidation, poor metabolizers have longer -azepam half-lives) Metabolizes Omeprazole (-prazoles) + Clopidogrel [Plavix] 3. Induced by Ginkgo + St. John’s Wort
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4
Q

CYP2C9 (Polymorphisms, Key Features, Metabolizing Drugs, Inducers/Inhibitors)

A
  1. Some polymorphisms 2. Metabolizes Warfarin (poor metabolism causes reduced clearance, change number of days required to determine stable anticoagulation) Metabolizes NSAIDS (Ibuprofen + Celecoxib) - poor metabolizers have reduced clearance
  2. Induced by Gingko + St. John’s Wort
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5
Q

CYP2E1 (Polymorphisms, Key Features, Metabolizing Drugs, Inducers/Inhibitors)

A
  1. No significant polymorphisms 2. Metabolize high doses of Acetaminophen to produce toxic NAPQI 3. Induced by St. John’s Wort, High Ethanol
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6
Q

Human CYP 450 Allele Nomenclature

A

Gene Superfamily - Family - Subfamily - Isoform - Allele CYP - 2 - D - 6 - *1

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7
Q

Reference Allele

A

*1 - reference allele *1 allele encodes for protein that performs reference amount of activity ““normal”” may not be the most prevalent allele depending on specific ethnic population

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8
Q

Pharmacogenetics v. Pharmacogenomics

A

Genetics: Drug effect influenced by ONE locus/gene - has Mendelian Inheritance Genomics: Drug effect influenced by MULTIPLE loci/genes, sometimes in combination with non-genetic factors (environment) - has unknown inheritance

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9
Q

Metabolizer Phenotypes

A
  1. Ultra Rapid: diplotype containing increased functioning alleleletype - usually gene duplication or amplification - copy number variant *1/*1xN
  2. Extensive: “normal” functioning, possess reference alleletypes or fully-functional variants
  3. Intermediate: abnormal functioning - slightly low or high - gray area
  4. Poor: contain partial functioning/non-functioning alleletype - gene deletion, nonsense mutations (missense cause partial function)
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10
Q

How Phenotypes affect Dosage for Standard Drugs and Pro-Drugs

A

Standard Drugs
Poor M: Less metabolism, high toxicity risk
Ultra Rapid M: More metabolism, low effectiveness

Pro-Drugs
Poor M: Less metabolism, low effectiveness
Ultra Rapid M: More metabolism, high toxicity risk

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11
Q

List 6 Examples of Inter-Individual Variability in Pharmacogenomics

A
  1. Codeine - affects biotransformation
  2. Clopidogrel - affects biotransformation
  3. Tacrolimus - affects elimination
  4. Thiopurine - affects elimination
  5. Warfarin - affects elimination
  6. Somatic Pharmacogenomics in Cancer
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12
Q

Somatic Pharmacogenomics in Cancer

(what somatic means, and give an example)

A

Somatic - cannot be inherited, cancer is an acquired disease

non-small cell lung cancer - hyperactivation of EGFR (an RTK) signaling - more cells divide and proliferate
treat: tyrosine kinase inhibitors - EGFR inhibition - effective at shrinking tumor
Secondary mutations make drug target site dysfunctional, less sensitive to drug, these few cells survive, then proliferate, causing tumor recurrence

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13
Q

CPIC

A

Guidelines for translating lab results into drug prescribing decisions
HOW results should be used to optimize drug therapy
Guidelines for dosing and dose adjusting based on lab results

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