solid-state chemistry: the next focal point for drug...
TRANSCRIPT
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Solid-State Chemistry: The Next Focal Point for Drug Design and Development
Weili Yu Pharmaceutical Sciences Pfizer, Groton, CT 06340
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Why worry about API solid form?
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Pfizer Confidential │ 3
API Solid Form
Bioavailability
Manufacturabilty Stability
• Solubility • Dissolution rate • Precipitation
• Phase purity • Excipient compatibility • Hygroscopicity
• Particle morphology • Sticking tendency • Compressibility
Why worry about API solid form?
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Physical and Chemical Stability
Salt disproportionation and degradation
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HN
Cl
Cl
q Sertraline § Serotonin reuptake inhibitor § pKa: 9.1 § Intrinsic solubility: 4 µg/ml
q Micronazole § Antifungal § pKa: 6.9 § Intrinsic solubility: 1 µg/ml
Material
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q To investigate the impact of counter ion on the potential of salt disproportionation
q To explore the relationship between salt disproportionation and chemical stability (oxidation)
Objectives
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Solu
bilit
y
pH
spa K
SpKpH 0max log+=
pHmax
Solid phase: free base
Solid phase: salt
Region I
Region II
pHmax
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q In a powder system, above pHmax, salt of a free base is driven by thermodynamics to disproportionate and convert to the free form.
q Acidic conditions have a protective effect for an amine functional group against oxidation. In a powder system, salts of free base should be less susceptible to oxidation.
Hypotheses
Salt Free Base
Oxidation products
Disproportionation Oxidation
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Experiments q Salt screen was conducted with both Sertraline and
Miconazole.
q Salt disproportionation was induced by mixing the salts with tribasic sodium phosphate dodecahydrate (TSPd) and the mixtures were placed at 57% RH at 25C.
q The extent of salt disproportionation was monitored by Raman spectroscopy over time.
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3000 2000 1000 0
Sertraline
Sertraline mesylate
2
Mole ratio (FB/salt)
Peak
inte
nsity
(278
5 / 3
010)
Y = 0.5423x + 0.0398 R = 0.9981
Quantification by Raman
Raman Shifts (cm-1)
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Unique Raman shifts
Material Raman shift Calibration R2 Miconazole 1506 -
Miconazole camsylate 1743 0.9994 Miconazole mesylate 780 0.9973
Miconazole nitrate 1328 0.9880 Miconazole phosphate
monohydrate 896
0.9933
Miconazole tosylate 1124 0.9992 Sertraline 783†, 2785 -
Sertraline benzoate 1385 0.9938 Sertraline HCl 1405 0.9824
Sertraline hemitartrate 2875 0.9956 Sertraline mesylate 3010 0.9981
†783cm-1 was used as unique Raman shift for sertraline free base in comparison to sertraline HCl due to interference at 2785cm-1
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Salt disproportionation over time
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Relationship between pHmax and extent of disproportionation
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pHmax and salt solubility
Salts Calculated pHmax
Solubility (M)
Miconazole camsylate 4.17 1.27×10-3
Miconazole mesylate 1.44 6.88×10-1
Miconazole nitrate 4.75 3.36×10-4
Miconazole phosphate monohydrate 3.35 8.53×10-3
Miconazole tosylate 4.44 6.97×10-4
Sertraline benzoate 7.11 1.17×10-3
Sertraline HCl 6.04 1.38×10-2
Sertraline hemitartrate 6.65 3.35×10-3
Sertraline mesylate 5.68 3.11×10-2
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HN
Cl
Cl
Cl
Cl
O
Cl
Cl
N
OH
N
O
H3C
Cl
Cl
Cl
Cl
OH
HN
Sertraline oxidative degradation
Tetralone
4-Hydroxy-Sertraline
LP3
Oxime
Sertraline
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Sertraline solution sample stability
Sertraline solution samples
% Sertraline remaining after 14 days
Sertraline solution + 3% H2O2
(pH 9.5) 88.24%± 0.34%
Sertraline solution + 3% H2O2
(pH 2.0)
100%
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Sertraline powder sample stability
% Sertraline Remaining
Sertraline Sertraline Benzoate
Sertraline HCl
Sertraline Hemitartrate
Sertraline Mesylate
4 days 99.53 ± 0.01 100 100 100 100
9 days 97.57 ± 0.10 100 100 100 100
14 days 95.45 ± 0.35 100 100 100 100
§ Sertraline free base / salt (10%) + solid state H2O2 (90%) § 25C / 57%RH
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Sertraline powder sample stability
§ Sertraline free base / salt + solid state H2O2 + TSPd (1:1:1 in wt) § 25C / 57% RH
After 9 days Free Base Sertraline Benzoate
Sertraline HCl
Sertraline Hemitartrate
Sertraline Mesylate
% Disproportio-
nated N/A None
Detected ~10%
~5%
~23%
% Sertraline remaining
97.11 ± 0.09
99.23 ± 0.04
96.53 ± 0.04 93.62 ± 0.09 96.05 ±
0.14
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Conclusions
Ø Extent of salt disproportionation was found to be highly dependent on the pHmax values.
Ø Salts with higher solubility (thus lower pHmax) have a greater tendency to disproportionate and convert to free base in presence of basic excipients.
Ø Sertraline salts are much more prone to oxidation upon disproportionation and conversion to the free base. The protective effect of protonation on amine function group was demonstrated in both solution and powder systems.
Yi-Ling Hsieh, Weili Yu, Yanqiao Xiang et al., International Journal of Pharmaceutics, 461, 2014
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Bioavailability
Solubility = Bioavailability ?
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MoreSolubleForm
LessSolubleForm
AbsorbedDrug
DissolvedDrug
DissolvedDrug
Disso Fast
Precipitation
Disso Slow
Absorption
Absorption
Possible mechanisms
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Cocrystal (Compound 2) - Increased aqueous dissolution rate by 18-fold - AUC increase at least 3-fold (5 & 50mg
doses)
D. McNamara, S. Childs et al, Pharmaceutical Research, V23, No.8, 2006
• pKa = -0.7 • Aqueous solubility
<0.1ug/mL
Compound 2 : Glutaric acid cocrystal Compound 1 : API (Sodium channel blocker)
Example 1: Glutaric acid cocrystal
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Example 2: Carbamazepine • Static disk dissolution @ pH 1.2 (0-10 min) • Solubility: Form III > Form I > Dihydrate (pH 1.2)
Y.Kobayashi, S. Ito, S. Itai, K. Yamamoto, Int J Pharm 193 (2000) 137–146
• Powder dissolution @ pH 1.2 • Form III converted to dihydrate more rapidly
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§ At 40mg dose, similar AUC § At 200mg dose, AUC Form I > Form III > Dihydrate § Rapid conversion of Form III to the dihydrate led to lower bioavailability
Y.Kobayashi, S. Ito, S. Itai, K. Yamamoto, Int J Pharm 193 (2000) 137–146
Example 2: Carbamazepine
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Example 3: Fluoxetine HCl co-crystal
S.L. Childs, L. J. Chyall and J. T. Dunlap et al., JACS, 2004, 126, 13335-13342
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Remarks q Meta-stable forms do not necessarily result from meta-stable polymorphs. Far more common, they occur when a ambient-stable form is put into the GI track (e.g. salt of a free base is dosed).
q Conversion to a more stable form, will, in general, occur more rapidly as the energy difference between the two forms increases.
q Therefore, in many cases, the common practice of selecting more soluble form may not provide the highest level of drug in solution in the GI track.
q Small scale experiments can be performed to evaluate the potential for form conversion on the time scale of absorption.
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Manufacturability
The role of API particle size
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q Impact on bioavailability
Smaller particle size => faster dissolution rate => increased bioavailability => Product Efficacy
q Impact on dosage form content uniformity
Smaller particles
Better dosage form content uniformity Improved product safety and efficacy
Example 1mgA dosage forms
Common roles played by particle size
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q Impact on Stability
Smaller particle size Larger surface area increased contact area with excipients more significant degradation
q Impact on drug product manufacturability
§ Powder flow – need to have the right flow for the right dosage form
§ Segregation potential – larger differences in particle size leads to higher segregation potential
§ Bulk density - capsule filling, tablet press die filling
§ Mechanical properties – non-linear dependence on particle size
§ Dissolution rate – critical for liquid dosage form manufacturing
Common roles played by particle size
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ICH Guidance
Content Uniformity
Stability
Processability Dissolu6on, solubility or bioavailability
Par6cle size Specifica6on
API particle size specification is required for all solid dosage forms or liquid containing undissolved API if particle size is critical to any of the following properties:
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What’s available for CU prediction?
Intellipharm
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In-house Model (SimCU) Features SimCU
Can use experimental PSD YES
Consider API PSD variability YES
Consider Mean Tablet Weight YES
Consider Tablet Weight Variability YES
Usage of current USP guideline to estimate probability of failure YES
Batch processing capability YES
Applicable to Drug Product Intermediate YES
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q Tested on at least 5 different drug products and 20 DP lots q API doses ranging from 0.5mg to 250mg
q API loading from 0.5% to 50%
q Tablets and capsules
q Broad API particle size range
§ D[4, 3]: 8µm – 198µm § D[v, 90]: 15µm – 334µm
How well does the model work?
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Remarks q Accurate prediction of dosage form content uniformity allows creation of meaningful particle size acceptance criteria at early stage of development.
q Prediction of the model can be revised and optimized as data from large-scale manufacturing becomes available to guide late stage development decisions (API milling, de-lumping of agglomerates etc.).
q Provide a strong theoretical support for regulatory filing of final particle size specifications.
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q API solid form and the associated physical attributes plays a key role in drug design from discovery to commercialization.
q Identification and selection of appropriate API solid form at the earliest possible stage could be advantageous. The dividing line between discovery and development is getting blurry.
q Practical challenges may include § Limited material § Balance between front loading work and attrition § Development strategy of multiple lead compounds
q Leverage computational tools and small-scale experiments with clinical and large scale manufacturing experience.
Summary
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Acknowledgement
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Yi-Ling Hsieh Sal Garcia Yanqiao Xiang Weitao Pan Ken Waterman Sheri Shamblin Evgenyi Y. Shalaev Lynne Taylor