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Optimization of DrugLike Properties During Lead Optimization

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As soon as you need in vivo exposure, the drug delivery method has an impact. ADME Studies ... As residence time exceeds dissolution time (Dn 1), all material ... – PowerPoint PPT presentation

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Title: Optimization of DrugLike Properties During Lead Optimization


1
Optimization of Drug-Like Properties During Lead
Optimization
Biopharmaceutic Modeling and the Role of Dose
and Formulation on Oral Exposure
Brian R. Rohrs Michigan Pharmaceutical
Sciences Kalamazoo, MI Pfizer Global RD
AAPS Workshop Parsippany, New Jersey September
19-22, 2004
2
When does Formulation Impact Early Drug
Development?
  • As soon as you need in vivo exposure, the drug
    delivery method has an impact
  • ADME Studies
  • Efficacy Models
  • Toxicity Studies

3
What are the Consequences of Poor Exposure?
  • Ambiguous or unusable study results
  • Highly variable data
  • Use up scarce API
  • Molecule given low priority or discontinued
    (perhaps rightly so?)

4
Biopharmaceutic Models
  • Many models available, from simple to very
    sophisticated (and very expensive!)
  • MAD (Maximum Absorbable Dose)
  • Microscopic Mass Balance Approach
  • Intellipharm PK
  • IDEA
  • GastroPlus (ACAT)
  • Models most often used for prediction of
    bioavailability, but can also use them to guide
    formulation approach to get better exposure

5
Objective for Talk
  • Give you a qualitative framework to understand
    the relationships between dose, solubility,
    permeability, and API particle size
  • Help you to answer the questions
  • Why am I getting poor exposure?
  • Will formulation help me?
  • What technologies should be tried?
  • Keep it simple

6
Microscopic Mass Balance Approach (MiMBA)
  • Developed by Gordon Amidon and others at U of
    Michigan
  • Qualitative method for estimating fraction
    absorbed from phys/chem data
  • Simple calculation of three dimensionless values
    describing relative processes of solubilization,
    permeability, and dissolution

Oh, D-M, Curl RL, Amidon GL. Pharm Res 10(2)
1993, 264-270.
7
MiMBA Schematic
  • Particles introduced at beginning of intestine
  • Dissolution and absorption occur as particles
    transit intestine

8
Solubilization Process
  • Described by Dose Number, Do
  • Answers question, what fraction of my dose can
    the solvent medium hold?
  • M0 Dose (mg)
  • V0 Volume (ml)
  • Cs Saturation Solubility (mg/ml)

9
Solubilization Process (cont.)
  • Variables V0 and Cs are dependent on the in vivo
    environment, V0 species dependent
  • As dose number increases from 0 to 1, medium
    becomes increasingly saturated greater than 1,
    medium is saturated with solid left over

10
Permeability Process
  • Described by Absorption Number, An
  • Ratio of absorption rate to GI transit rate
  • Peff Effective permeability coefficient
    (cm/min)
  • R, L Radius, Length of intestine (cm)
  • Q Flow rate down GI tract (cm3/min)

11
Permeability Process (cont.)
  • As absorption rate gets slower than transit rate
    (An lt 1), material passes through absorption
    region before it can get absorbed
  • Variables Peff, R, L, Q all species dependent
  • Estimate Peff from Caco2, rat permeability, etc,
    but need correlation to species of interest
  • Absorption rate constant k (min-1) related to
    Peff via geometric surface to volume ratio of
    intestine
  • Peff k SA/Vol k 2/R

12
Dissolution Process
  • Described by Dissolution Number, Dn
  • Ratio of GI residence time to complete
    dissolution time
  • D Diffusivity of compound (cm2/min)
  • r0 Particle radius (cm)
  • Density of compound solid (mg/cm3)
  • Cs, Q, R, L as previously defined

13
Dissolution Process (cont.)
  • As residence time exceeds dissolution time (Dn gt
    1), all material in solution and available for
    absorption
  • r0 can be estimated from microscopic image
  • ? function of solid (most between 1 and 1.5)
  • D function of molecular size (typically6 to 8 x
    10-6 cm2/min)

14
Equations Describing Dissolution and Absorption
  • Calculate fraction absorbed Fabs from change in
    particle radii and change in dissolved drug down
    GI tract

15
Calculate Particle Radii, Concentration and Fabs
16
Bottom Line Can Map out Biopharmaceutic
Landscape
  • Contour of Fabs

17
Amount (mg) Absorbed Plateaus as Dose ? and Fabs ?
18
Three Regions of Limited Bioavailability (An
0.6)
Where you are in the biopharmaceutic landscape
determines formulation approach for enhancing
bioavailability
19
Estimating An, Dn, and Do
20
Variables to Impact with Formulation
  • Dose, Mo
  • Solubility, Cs
  • Particle size, r0
  • Volume, Vo (to some extent)

21
If Dissolution Limited
  • Relative Dissolution Rate ? Sol/(r2)
  • To speed up dissolution
  • Reduce particle size
  • Increasing solubility affects both Dn and Do
  • Typically, if Dn gt 10, particle size reduction of
    minimum value

22
Particle Radii for Dn gt 10
23
If Dissolution Limited
  • Relative Dissolution Rate ? Sol/(r2)
  • To speed up dissolution
  • Reduce particle size
  • Increasing solubility affects both Dn and Do
  • Typically, if Dn gt 10, particle size reduction of
    minimum value
  • Exception is for high permeability, low
    solubility compouds

24
Estimated Fabs for Rapid Dissolution (Dn gtgt 1)
25
If Solubility Limited
  • Relative Solubility ? Dose/Sol
  • Enhance solubility to increase Fabs
  • Strategies include ionization, surfactants,
    co-solvents, high energy solids (including
    salts), complexation agents, emulsions
  • Be aware of effect of chemical potential

26
Chemical Potential
  • Competition for Drug Molecules

27
If Permeability Limited
  • Flux ? Conc Peff
  • If P-gp substrate, coadminister inhibitor
  • Cremophor EL
  • Vitamin E-TGPS
  • Polysorbate 80
  • Increase Solubility
  • Supersaturate at absorption site
  • Be aware of chemical potential

28
Influence of Chemical Potential
Yu L, et.al. Pharm Res 16(12) 1999, 1812-1817
Nerurkar MM, et.al.. Pharm Res 13(4) 1996, 528-534
29
Summary
  • To estimate where you are in the biopharmaceutics
    landscape, use diagrams and simple calculations
    presented here
  • Reducing particle size never hurts
  • When using solubility enhancers, remember that
    you can have too much of a good thing
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