PK, PD, Genomics Deck 2 Flashcards

1
Q

Bioavailability

A

The fraction of administered drug
reaching systemic circulation in an
unchanged form that can produce
an effect

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2
Q

Bioavailability is

A

100% after IV administration

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3
Q

Oral bioavailability depends on

A
the
amount absorbed and amount
metabolized before reaching
systemic circulation (first-pass
metabolism)
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4
Q

First-Pass Metabolism

A
Metabolism of a drug during
its passage from the site of
absorption into the systemic
circulation
• Extent of first-pass
metabolism differs among
drugs
Routes of administration that
avoid first-pass metabolism?
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5
Q

bioavailability =

A

AUC oral/ AUC injected x 100

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6
Q

Routes that avoid first pass

A
transdermal
im
sub q
sub lingual 
iv
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7
Q

Bioequivalence

A

Occurs when two formulations of
the same drug have the same
bioavailability and rate of
absorption

Comparison of 2 or more products
with respect to their bioavailability

Example: Brand (Innovator) vs
generic product

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8
Q

Half-Life

A

Half-Life (T1/2) = time necessary for the blood concentration of a drug to drop 50%
• Major determinant of:
- the duration of action after a single dose
- the time required to reach steady-state (or for the drug to be eliminated)

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9
Q

For most drugs, the rate of

elimination is NOT

A
constant
over time, but varies with the
concentration
• Aka, for most drugs a constant
percent of drug is eliminated
per unit time rather than a
constant amount
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10
Q

First order elimination

A

the amount of the drug eliminated per unit time is proporational —- A constant % of drug is elimanted per unit time

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11
Q

One half life
Two half life’s
three half life’s

A

50%
25%
12.5%

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12
Q

Half-Life and Steady State

A

Steady State means that at the same time after each identical dose, the blood
concentration should be nearly identical.
• Occurs after 4-5 half-lives

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13
Q

Steady State and Therapeutic Range

A

Soon after dose given, concentration will reach a peak
• Right before next dose, concentration will reach a trough
• Goal is that when at steady-state, want peaks and troughs to be within the
therapeutic range
• So, the higher the therapeutic index (the bigger the therapeutic range) the
greater the peak-trough concentration variations can be

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14
Q

Dosing Frequency

A

More frequent dosing with lower doses = smaller peak/trough
fluctuations
• Less frequent dosing with higher doses = larger peak/trough fluctuations
• When determining dosing frequency, pharmacodynamics just as
important as the half-life S

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15
Q

Pharmacodynamic Changes in the Elderly

A

Brain atrophies, cells diminish and perfusion is decreased
• Increased sensitivity to drugs due to changes in receptor sensitivity
• Benzodiazepines, sedatives, narcotics, psychotropics
• Cholinergic neurons also diminish
• anticholinergic meds → mental status changes
• Ex: diphenhydramine
• Decreased adaptive homeostatic reflexes
• Increased risk of orthostatic hypotension due to blunted baroreceptor
reflexes
• ADRs that are simply bothersome to their younger counterparts can be severe
in the elderly (ex: alpha blockers causing orthostatic hypotension leading to a
fall & hip fracture)

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16
Q

Pharmacodynamic Changes in Pediatrics

A

• Response of drugs may be different due to immature receptors or
neurotransmitter systems
• Example: Antihistamines, barbiturates may cause paradoxical
excitement

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17
Q

Pharmacogenomics

A
  • The study of how genes affect a person’s response to drugs
  • Terms often used interchangeably
  • Perhaps historically some differences
18
Q

What can a pharmacogenomic test tell you?

pharmacogentics and pharmacogenomis are the same thing.

A
  • If you might be a fast or slow metabolizer of specific drugs
  • Sensitivity to dose-related outcomes with specific drugs
  • Side effects, response
  • Some examples of hypersensitivity reactions
  • Specific drugs – phenytoin, carbamazepine
  • Possibly receptor sensitivity
  • Related to side effects and response
19
Q
  • If you might be a fast or slow metabolizer of specific drugs
  • Sensitivity to dose-related outcomes with specific drugs
  • Side effects, response
  • Some examples of hypersensitivity reactions
  • Specific drugs – phenytoin, carbamazepine
  • Possibly receptor sensitivity
  • Related to side effects and response
A

• Genetics is only one piece of the puzzle
• Other factors important: age, sex, body composition, liver function,
kidney function, etc
• Genes are not entirely deterministic
• Test results summarize ‘likelihood’ based on genetic information
• What if results conflict with personal experience?
• $$$

20
Q

Genotype

A

– genetic make-up of an individual at a given locus
– Set of alleles an individual has for a trait
• E.g. CYP2D6 1/1

21
Q

Phenotype

A

– the functional outcome of genotype(s)
– Trait that results from the individual’s set of alleles
• E.g. Extensive (normal) metabolizer

22
Q

Polymorphism

A

genetic variation occurring in >1% of the

population

23
Q

*1 reference sequence

A
*1 = ‘reference sequence’
• No identified functional
change
• “Extensive/normal”
metabolizer phenotype
• May not be the most
common allele in every
population
24
Q

Other stars “*” represent

A
genetically distinct forms of
a gene (allelic variants)
25
Phenocopy – variation in a
phenotype caused by environmental exposure that mimics a genetically induced phenotype
26
Example – drug
g inhibition may transiently ‘transform’ an individual into a poor metabolizer • Risperidone + paroxetine probably = poor CYP2D6 metabolism of risperidone
27
Relevant enzymes:
CYP2D6, CYP2C19, CYP2C9, CYP3A5
28
Pharmacodynamic Variants
• Gene variants related to pharmacodynamics of neuropsychiatric drugs also investigated Examples: serotonin2A receptor (HTR2A), dopamine2 receptor (DRD2), serotonin transporter (SLC6A4) • Evidence exists to support hypotheses that these variants may influence response or adverse effects to psychiatric meds • Effect sizes small-mod and heterogeneous results across studies and populations need to be resolved before widespread clinical application • Not in product labeling or guidelines on how to use • Association with disease risk, personality traits, or other psychiatric phenotypes? – important to consider what results may mean to patient (and relatives)
29
FDA table of pharmacogenomic biomarkers in drug labeling - Pros
``` what drugs have PGx mentioned somewhere in labeling, where in labeling, sortable by drug, gene, and therapeutic area ```
30
FDA table of pharmacogenomic biomarkers in drug labeling - Limitations
``` does not assess actionability, based on data submitted as part of new drug applications ```
31
Clinical Relevance: Neuropsychiatic Drug Labeling
• Specificity and usefulness of pharmacogenomic language in product labeling highly variable • Provide varying levels of recommendations for what implications pharmacogenomic info may have if available - Some – specific recommendations based on metabolizer status - Others – info regarding impact of metabolizer status on pharmacokinetics of a drug or potential importance for drug interactions • None mandate pharmacogenomic testing be performed
32
Carbamazepine Labeling - Equerto
Risk in asain population for Stevens Johnson Syndrome is 10 times higher than caucasion.
33
Source of ongoing debate
* Much debate about if/who/when/how * Reality: Prescribers want more objective data to help with decisions, sometimes patient driven * Just because testing available, does not equate to clinical utility * Key: Knowing when to test and how to apply the results
34
Resources for assessing evidence
• FDA • Assesses pharmacogenomic data submitted as part of new drug applications • Guideline/evidence grading groups • Clinical Pharmacogenetics Implementation Consortium (CPIC) • Pharmacogenomics Knowledgebase (PharmGKB) • Guidelines designed to help clinicians understand HOW available genetic test results should be used to optimize drug therapy. • Not WHETHER tests should be ordered. • Professional Organizations • Task force groups assess evidence and publish manuscript or white paper recommendations • American Psychiatric Association • American Association of Child and Adolescent Psychiatry • International Society of Psychiatric Genetics
35
Clinical Pharmacogenetics Implementation Consortium (CPIC)
Best evidence and consensus-based resource for HOW existing genetic information should be used • Not WHETHER tests should be ordered • Premise: existing genotyping will become more widespread • Clinicians will be faced with having patients’ genotypes available even if they did not order test
36
Commercially available tests for psychiatry
• Upwards of 20 companies >70 labs offer pharmacogenomic testing through a healthcare practitioner • Different companies/labs may test for different genes and variants • “Combinatorial” clinical decision support results are common • Combine both pharmacokinetic + pharmacodynamic genes • Combinatorial algorithms are company-specific • May provide recommendations about what to do • Genotype/phenotype assignment and recommendations may differ across commercial labs • Clinical studies predominantly in depression
37
Insurance Reimbursement – MN DHS
• Pharmacogenetic testing is covered when all the following conditions are met: • Testing is required by the drug label • The test will change the treatment course • A drug trial is considered impractical due to safety or other factors prior to genetic testing • Pharmacogenetic panel tests for therapy selection, such as panel tests for psychotropics, analgesics, or ADHD stimulant medications, are not covered.
38
• Factors supporting test utilization
* Many patients and providers want this information | * Strong PG-PK relationships for many medications
39
• Challenges to clinical implementation
* Studies lacking in patient populations where need is great * Complex medication regimens * Complicated diagnoses * More prospective studies needed * Clinical ‘decision support’ guided by commercial labs * User friendly, but some details, assumptions, and generalizations differ from consensus reviews * Many psychiatry test panels contain genes for which guidelines/labeling do not exist * Reimbursement * Regional differences * Differences by diagnoses
40
PGx may augment
personalized decision making along with other | important clinical factors