nov. 14, 2016 dr. paul a. harmon, merck & co. inc. · dr. paul a. harmon, merck & co. inc....
TRANSCRIPT
Biorelevant dissolution measurements and
modeling at the drug solubility limit:
Optimizing Exposure Rankings
Nov. 14, 2016
Dr. Paul A. Harmon, Merck & Co. Inc.
• Many of Drug candidates are BCS II/IV
– low solubility, low (IV) to high permeability (II)
– dissolution rate limited absorption fairly common
• Pharma’s challenges
– can we predict relative bioavailability of different formulations of
same BCS II/IV drug? (composition, API particle size distribution)
– do we understand how our formulation composition/ processes
impact the BR dissolution rate (and hence AUC)?
– need a simple biorelevant dissolution methodology, sensitive to
particle size distributions/ “effective” dissolution rate, in which the
majority of the dose can dissolve during the measurement.
– want to avoid two-phase dissolution; or complex many component
systems mimicking stomach/GI (TNO TIM etc.)
2
Optimizing Bioavailability – optimize BR disso rate
Outline
3
• Background: GI tract, low solubility particles dissolving. “MIMBA”
concepts around the BCS system
• The problem: QC dissolution, and typical biorelevant dissolution using
the whole dosage form in 500-900 mls
• The solution. Dispersed API particle dissolution models work (DDD+).
Very sensitive to particle size if you keep drug at or below the
solubility limit in BR media (1X). Introduce only a “fraction” of dosage
form to BR media to get to solubility limit. This provides “the
Yardstick” to optimize your formulation dissolution rates.
• formulation examples of “1X” methodology and clinical outcomes
Formulation-Based Absorption: Conventional
Formulation with Crystalline Drug
4
Disintegration Solubilization
Absorption of dissolved drugGI Tract
(slightly simplified view…)
tabletgranules API crystalline
Particles (10-50 um)
Dissolved
Drug
molecules
lumen
hope
no
particles
exit!
API particle dissolution rate
This problem has been treated in the literature with some reasonable assumptions..
Absorption rate
-dissolution rate limited absorption – drug remains below solubiltiy limit
(Note here it is assumed that majority of
dose is NOT soluble in the stomach)
“MiMBA”: Microscopic Mass Balance Approach
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Assumptions:• single size, spherical API particles
• particles are dispersed (no aggregation)
• transit time of particles is 3 hours
• tube-human GI SA,length
• plug flow (complete radial mixing)
• assume steady state
abs.
“Estimating the Fraction Dose Absorbed from Suspensions of Poorly Soluble Compounds in Humans: A Mathematical Model” D.
Oh; R. L. Curl; G. L. Amidon; Pharmaceutical Research V10, No 264-270
set up differential equations
with 3 dimentionless
parameters (Dn, Do, An)
[C*]
z
ro
r*
𝑑𝑟∗
𝑑𝑧∗=
−𝐷𝑛
3
(1−𝐶∗)
𝑟∗
𝑑𝐶 ∗
𝑑𝑧 ∗=𝐷𝑛 𝐷𝑜 𝑟 ∗ 1 − 𝐶 ∗ − 2𝐴𝑛 𝐶 ∗
1
This system of 2 differential equations is numerically solved for 3 different
values of An. r* at end of tube is then calculated, which gives mass absorbed.
The Three Dimensionless Parameters
• if ro = 5 um, with 10 ug/ml solubility, disso time = 50 min; D# =3.6
• if ro = 25 um, with 10 ug/ml solubility, disso time =1250 min; D# = 0.12
𝐴𝑛 =𝑟𝑎𝑑𝑖𝑎𝑙 𝑎𝑏𝑠𝑜𝑟𝑝𝑡𝑖𝑜𝑛 𝑟𝑎𝑡𝑒
𝑎𝑥𝑖𝑎𝑙 𝑐𝑜𝑛𝑣𝑒𝑛𝑡𝑖𝑜𝑛 𝑟𝑎𝑡𝑒~ 𝑃𝑒𝑓𝑓 (𝑙𝑜𝑤,𝑚𝑜𝑑𝑒𝑟𝑎𝑡𝑒, ℎ𝑖𝑔ℎ 𝑝𝑒𝑟𝑚𝑒𝑎𝑏𝑖𝑙. )
𝐷𝑜 =𝐷𝑜𝑠𝑒 𝑖𝑛 𝑚𝑔
𝑑𝑟𝑢𝑔 𝑠𝑜𝑙𝑢𝑏𝑖𝑙𝑖𝑦𝑡𝑚𝑔
𝑚𝑙×250𝑚𝐿 𝑓𝑙𝑢𝑖𝑑 (𝐹𝑎𝑆𝑆𝐼𝐹)
Absorption #
Dose #
Dissolution # 𝐷𝑛 =𝐺𝐼 𝑟𝑒𝑠𝑖𝑑𝑒𝑛𝑐𝑒 𝑡𝑖𝑚𝑒 (3 ℎ𝑜𝑢𝑟𝑠 𝑜𝑟 180 𝑚𝑖𝑛)
𝑝𝑎𝑟𝑡𝑐𝑖𝑙𝑒 𝑑𝑖𝑠𝑠𝑜𝑙𝑢𝑡𝑖𝑜𝑛 𝑡𝑖𝑚𝑒 𝑎𝑡 𝑖𝑛𝑓𝑖𝑛𝑖𝑡𝑒 𝑑𝑖𝑙𝑢𝑡𝑖𝑜𝑛
An =0.6, 1.3 (metoprolol, moderate), 8.5
related to number of particles in tube. Low soluble compound
has high dose number = many particles..
𝑟𝑜2𝑝
3𝐷𝐶𝑠= (Cs=saturated solubility
value)
Fraction Dose Absorbed for An = 1.0; 3-D; as a function
of Do and Dn. Collapse to 2-D...
7
PMF Bioavailability
= F (Fraction Dose Absorbed)
• Maximum F is 86% with An=1
• F increases to 100% when An >1
High F can be achieved with
• High dissolution #
• Low dose #
fast dissolution
All you need to compare formulations is the effective “dissolution number”...
of the formulation in GI fluids...
MiMBA highlights role of API particle size in
optimizing AUC ...
• Dissolution # depends only on API size and solubility in
Fassif. (real situation much worse. API PSD distributions,
we make granules, API may not be dispersed..)
• Pharmaceutical Scientists do not readily have simple
benchtop dissolution methods which are sensitive to API
particle sizes/distributions –in biorelevent media.
• Two phase dissolution? Membranes? TNO TIM? Need
simple “biorelvent dissolution” type methods which clearly
demonstrate API size sensitivity...
8
-consider the two types of dissolution measurements most commonly done
Outline
9
• Background: GI tract, low solubility particles dissolving. “MIMBA”
concepts around the BCS system
• The problem: QC dissolution, and typical biorelevant dissolution using
the whole dosage form in 500-900 mls
• The solution. Dispersed API particle dissolution models work (DDD+).
Very sensitive to particle size if you keep drug at or below the
solubility limit in BR media (1X). Introduce only a “fraction” of dosage
form to BR media to get to solubility limit. This provides “the
Yardstick” to optimize your formulation dissolution rates.
• formulation examples of “1X” methodology and clinical outcomes
“QC” (Quality Control) Dissolution
• QC dissolution media has 3-10X solubilizing power
– Whole tablet/capsule in 900 mL volume
– 100 mg dose then needs 0.3-1.0 mg/ml solubility
– High levels of surfactant added for low soluble MK
– API solubility in GI fluids (Fassif) is much less
• Two limitations of QC dissolution:
– No meaningful dissolution # can be derived from the QC
experiment
– High surfactant levels can microscopically disperse the API particles
in the formulation, an effect that might not happen in biorelevant
media.
Require Dissolution in Biorelevent Media for MiMBA
correlations
“Traditional” Bio-Relevant Dissolution
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Stomach
Intestine
In-vivo In-vitro models
30min in 250mL SGF Add 2X FaSSIF + NaOH
120min in FaSSIF
Two-stage model
500mL FaSSIF
(pH 6.5)
250mL SGF
(pH 1.8)
..however, big problem here!
tablet
• Simulated gastric fluid (SGF): 250mL
• Simulated fasted small intestinal fluid (FaSSIF): 500mL, 0.2% surfactants
• Two stage model: 250mL SGF 500mL FaSSIF
• Whole dosage form (tablet/capsule)
tablet
Limitations of Traditional Biorelevant Dissolution
• Often only small portion of the dose can dissolve in 500
ml Fassif
– for a 100 mg dose, 20 ug/ml (fassif) solubility MK only
10% of dose can dissolve.
– Dissolution profile dominated by smallest portion of
API PSD, remainder of PSD not probed
– cannot derive a MiMBA type dissolution #
12
% d
ose d
iss.10
time
how discriminating is this?
(between formulations)
(between different size API?)
Not getting information on how
the API distribution can resupply
drug in presence of significant
absorption
Outline
13
• Background: GI tract, low solubility particles dissolving. “MIMBA”
concepts around the BCS system
• The problem: QC dissolution, and typical biorelevant dissolution using
the whole dosage form in 500-900 mls
• The solution. Dispersed API particle dissolution models work (DDD+).
Very sensitive to particle size if you keep drug at or below the
solubility limit in BR media (1X). Introduce only a “fraction” of dosage
form to BR media to get to solubility limit. This provides “the
Yardstick” to optimize your formulation dissolution rates.
• formulation examples of “1X” methodology and clinical outcomes
API dissolution modeling – handles full PSD and
saturation of bulk fluid. Assumes dispersed particles
• Model based on drug particle and the
external mass transfer out from the
unstirred water later (DDD Plus)
• Assumes solubility limit is quickly
reached in a thin layer around particle –
then drug molecule diffusion out of the
unstirred layer into the bulk soln is the
mass transfer rate limiting step.
• need accurate PSD*, solubility value,
and diffusion coefficient of molecule.
• smaller PSD means more surface area
per mass, smaller diffusion layer
thickness so dissolution rate goes up!
• *PSD under dissolution conditions..
14
m = masst = timeD = diffusion coefficient
d = diff. layer thickness (fn.
size)
)( bs CCAD
dt
dm
d
Cs
Cb
d
diffusion
layer
bulk
solution
A = surface area
Cs = conc in stagnant layer
Cb = conc in bulk solution
API
particle
drug at sol. limit
calculated profiles: working at 10 ug/ml drug,
drug solubility = 10 ug/ml (1X); monotonic PSD:
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API
diam.
THIS IS THE “method” to use to be sensitive to API PSD!
Real 7 and 13 um PSD’s (D50) are very hard to tell apart
if you work (for example) at 10X solubility limit
16
Dissolution at “1X” obviates “two phase” disso –whole dose can dissolve in BR
0
1
2
3
4
5
6
7
8
9
10
0 20 40 60 80 100 120
ug
/ml
Time (min)
10x dissolution (100 µg/ml)
0
2
4
6
8
10
0 20 40 60 80 100 120
ug
/ml
Time (min)
1x dissolution (10 µg/ml)
Merck API 1-pre dispersed/sonicated in SLS then placed into Fassif –
calculated=measured. Numerous API’s fit well if API dispersed well!
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allows for (conventional) formulation optimization
YARDSTICK!
solubility limit
1X=11 ug/ml
General Solution (1X Biorelevant Dissolution Concept)
1. Obtain API full PSD 2. Measure API solubility in
biorelevant medium
(FaSSIF)
3. Calculate the expected
dissolution (assume the
API is fully dispersed)
4. Perform the biorelevant dissolution at solubility
limit (“1X”) in FaSSIF using
larger dilution
(SGF)
portion of the tablet/granule
tablet
5. Compare dissolution of
formulation (measured) to
API (calculated)
API
(yard stick)
PMFPMF optimization
API PSD reduction
(at sol. limit)
slope –MiMBA D#!
API “1X” dissolution, BR media, as Yardstick
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API calculated
WG granule
with surfactant
RC granule
(portion of)
tablet
-note, “QC” disso method might be fast for tablets; much higher solubility
dispersed API
optimize
(Fassif or SGF media) YARDSTICK
conceptual data here
• Goal is to drive formulated product disso rate to the calculated
dispersed particle API dissolution curve!
Outline
22
• Background: GI tract, low solubility particles dissolving. “MIMBA”
concepts around the BCS system
• The problem: QC dissolution, and typical biorelevant dissolution using
the whole dosage form in 500-900 mls
• The solution. Dispersed API particle dissolution models work (DDD+).
Very sensitive to particle size if you keep drug at or below the
solubility limit in BR media (1X). Introduce only a “fraction” of dosage
form to BR media to get to solubility limit. This provides “the
Yardstick” to optimize your formulation dissolution rates.
• formulation examples of “1X” methodology and clinical outcomes
OSF Outperforms the Same powder in Tablet
Dose Formulation AUC Cmax GMR GMR
(mg) (0-24hr) AUC Cmax
50 tablet 720 65 0.4 0.33
50 OSF 1750 200
23
• will the “1X” methodology pick up dissolution rate
differences (Dn differences) between the suspended
solids, and the solids compressed into tablet?
(disintegration time is fast and not limiting).
TabletOSF: suspension
Use SGF stage to uniformly disperse tablet in-
solubles, take portion for dilution to “1X” in Fassif
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SGF –solids stirring
including API
particles/granules
Fassif
ex. take 5.0 mls
-you must prove you obtain appropriate mg of active
-can use whatever size, volume, stir, etc for SGF “stage”
dilute to large vol
Fassif to get to sol.
limit.
At 1X drug
solubility in
fassif
Tablet vs. OSF 1st stage dose relevant in SGF, 2nd stage
at 1x sink in FaSSIF
25
150
SGF
1X dissolution rates predict relative Human AUC differencesd
isso
lve
d
Example BC Study – Low Solubility API, all
Formulations based on Amorphous SD drug
– Formulation 1: VA-64 / Drug C / SLS (65 : 30 : 5) in amorphous SD dispersion intermediate (SDI)
– Formulation 2: Removed SLS from dispersion. Potential issues with crystallization of SLS out of dispersion observed in Formulation 1 stability studies. Is it really needed IN the dispersion? Add same SLS to tablet “external” to SDI.
– Formulation 3: Removed VA-64 and SLS; just SD amorphous drug A in the SDI. Combination products need more tablet volume – is the VA-64 polymer in the dispersion really needed? Add SLS externally to tablet.
-at that time, “1X” biorelevant dissolution was not a common practice…
26
[TARGET] in
FaSSIF is
1200 mg/mL
0
10
20
30
40
50
60
70
80
0 20 40 60 80 100 120 140 160
ug
/mL
(p
ost
80K
)
time (min)
Drug C Formulation 1 vs Formulation 3 at Dose Relevant Concentration - 2 Stage Biorelevant dissolution
Formulation3Formulation1
SGF FaSSIF
• Biorelevant
dissolution at
dose relevant
concentration
informed animal
study
• Formulation 1
and Formulation
3 bracket
expected range
of dissolution
behavior
Clinical Dosage
Forms
Formulations Appear Equivalent by Typical
Biorelevant Dissolution Methodology
Drug C –
Apparent
amorphous
solubility
at that time...thought all 3 amorphous formulations would be similar..
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(only ~2-10% of dose
can dissolve)
Apply “1X” BR dissolution concept
• Place formulations into SGF at dose relevant concentrations (100 -600 mg drug, for example) - but then dilute portion to “1X” solubility limit in fassif (50 ug/ml)
• Absorption can occur in small intestinal (FaSSIF)
29
-dilution could be 2-1000X depending on drug solubility
SGF fassif
1st stage of dissolution
at dose relevant
concentration (1 unit of
100 mg tablet in 250
mls SGF)
DILUTE a portion of
sample (8X) into
FaSSIF at the
amorphous solubility
limit (“1X”)
8X dilution (100 mg tab)48 X dilution (600 mg dose)
Measure the relative
dissolution rates for all
3 formulations
0
5
10
15
20
25
30
35
40
45
50
0 10 20 30 40 50 60 70
ug
/mL
Time (min)
Drug C – Formulations 1-3: 1x Sink dissolution vs Simulated
Formulation 1 - Measured
Formulation 2 - Measured
Formulation 3 - Measured
30
Now formulations look very different!
Formulation 1 – very rapid rate to sol. limit
Formulation 3 –
very slow rate to
sol. limit
30
1 X Biorelavent dissolution –ranks formulations very well with
human AUC (only Fassif stage shown)
in Fassif post SGF transfer
why/how formulation 1 different? Drug nanoparticles
form from the amorphous solid dispersion # 1 in SGF!
31
How?? See Harmon et al. Molecular Pharmaceutics, 2016, 13,1467-1481
Summary
• If a large fraction of dose remains undissolved in 250 mls
SGF ..
• then this simple, “1X” (working at solubility limit) dissolution
in Fassif offers a relatively simple way to distinguish
dissolution rate differences related to API size, dispersion of
your API in your formulation. SGF-allows dilution to 1X.
• Formulations can be optimized and compared quantitatively
to the “yardstick”—the calculated (dispersed) API 1X profile.
• Relative Human AUC might be predicted –IF the AUC is
humans is dissolution rate limited. That is something we
don’t seem to know ahead of time for sure…
32
Acknowledgements
• Merck & Co. Inc.
• Analytical Sciences:
– Mike Socki, Jesse Kuiper, Kendra Galipeau, Adam Socia
• Biopharmaceutics:
– Filippos Kesisoglou
• Formulation/Preformulation
– Wei Xu, Justin Moser, Pete Wuelfing
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