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Aggregation Properties of
Therapeutic Proteins Revealed by
New Analytical Methods
Danny K. Chou, PharmD, PhD
President, Compassion BioSolution, LLC
Biologics world Taiwan 2016
25th, February 2016
Presentation Outline
• How protein aggregation occurs and the dominant
forces that control the formation of aggregates and
particulates.
• How does protein aggregation affect development
and commercial viability of biopharmaceuticals
• How do you monitor and control formation of
aggregates and particles? What is the state-of the-
art analytical approach?
• Why proper integration of formulation, container-
closure, and analytical technology is essential to the
success of a biologics development program.
Success Drivers in Biologic Drug Development
• Thanks to the favorable clinical profile of biologics
and increasing market demand the growth in
development of biopharmaceuticals is already
surpassing that of conventional drugs.
• Along with this trend the challenges of
biopharmaceutical development has become a
significant barrier to entry and sustainable
commercial success
• Commercial success requires both innovative
technical development and management of unique
challenges associated with the nature of biologics
• One of the these key technical challenges is protein
aggregation
Why Are Proteins so Difficult to Develop?
Putting Things Into Perspective With Respect
to Size of Biologic Molecules
*NEJM 2011
What is Protein Aggregation and Why is
it Important?
• Protein aggregates: “High molecular weight
proteins composed of multimers of natively
conformed or denatured monomers”
(Rosenberg, 2006)
• Aggregates can reduce biological activity, or
worse, induce immune response, but the
mechanism is still not very well understood
• Immunogenicity is a major product SAFETY
concern
Protein Aggregation – Mechanisms
• Protein therapeutics are highly complex in terms of size, structure
and function.
• Structural flexibility presents a higher risk for physical instability as
well as a major regulatory concern on product quality and safety.
Krishnamurthy et al. BioProcess International, 2008
Phenomenon of Protein Aggregation –
What Do We Know at the Present?
• Both conformational and colloidal stability play a role
Chi et al., Pharm. Res. 20:1325, 2003
Contributing Factors to Formation of
Soluble Protein Aggregates and Particles
Bioprocessing from
start to end
Physical/chemical Stresses:
pH, ionic strength, temperature,
chemical modification, light,
agitation, mechanical shock, freeze-
thaw, etc.
Air/Solid-Liquid Interfaces:
Protein contact with tubings, pumps,
pipes, vessels, filters, columns, etc.
Foreign Particles:
Stainless steel, glass, plastic, rubber,
tungsten, silicone oil, etc.
Fermentation/cell
culture
Purification
Filling
Packaging
Shipping
Storage
Administration
Not all Aggregates or Particles are the same….
P
G
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Dissociable Dimer
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Non Dissociable Dimer
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Non Dissociable Aggregate
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Subvisible Particles
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Visible Protein Particles
Visible Extraneous Particles
Why is protein aggregation relevant to
biopharmaceutical development and
manufacturing?
• Protein aggregation has long been suspected as a
having a role in safety and efficacy of biologics
How subvisible particles became a key focus for
regulators throughout the globe
Subvisible Particles- a highly visible topic
Orthogonal Techniques that Cover
Various Particle Size Ranges
0.001 um 0.01 um 0.1 um 1 um 10 um 100 um 600 um
SEC, AUC
DLS Flow microscopy
HIAC / Light Obscuration
Visual
1 nm 10 nm 100 nm 1000 nm
Subvisible aggregates
Silicone droplets
Nano-emulsions &
suspensions
Visible aggregates
Emulsions & suspensions
Glass, rubber, plastic, etc.,
particles
RMM
Nanosight
Extended characterization per USP<1787>
Technique Size Range
Light obscuration 2-300 um
Electrical senzing zone (Coulter) 0.4-1600 um
Laser diffraction 0.1-3500 mm
Light microscopy 0.3 um to 1 um
Flow imaging analysis 1 um-100 um for
size distribution;
5-100 um for
morphology
Electron microscopy (EM): Scanning EM,
scanning transmission EM, and transmission
EM
A to mm
Fourier Transform Infrared (FTIR)
microspectroscopy
10 um to 1 mm
Dispersive-Raman microspectroscopy 0.5 um to 1 mm
Electron microscopy (EM) with energy-
dispersive X-ray spectrometry (EDS)
A to mm for
imaging
Size and
distribution
Size and
morphology
Characterization
Criteria for Ideal Methodology
• Detects SVPs ranging from 0.1 – 100 µmSize Range
• Ideal if it allows for validation and setting
acceptable limits.
Particle Count
• Protein Aggregate vs Silicone Oil Droplet
vs External Inclusions (Metal, rubber etc.)
Particle Type
• Recording of particle image; Provision for
visual identification and analysis.Image of Particle
• Stable Aggregates vs Dilution-dependent
Transient aggregates.
No prior sample
manipulation
While This Field Continues to Evolve
There is an Opportunity in Front of Us
• SVP testing can be applied during process
development to optimize processing
conditions and reduce impurities
• Proper integration of orthogonal technique is
a powerful way to improve formulation
robustness and assess drug product- delivery
device compatibility
Case 1: Use of Subvisible Particulate (SVP)
Analysis During Process Development
Background:
• IgG monoclonal antibody (mAb A)
• Manufactured at 2k L scale for Phase I and Phase II
clinical testing
• 3 Column Purification Platform
• Affinity, Cation, Anion
• Virus filtration in final position prior to UF/DF
Validation Study of VF Performance (mAb A)
0
100
200
300
400
500
600
0 200 400 600
VProFlux(LMH)
Volumetric Throughput (L/m2)
1% XMuLV Run 1
1% XMuLV Run 2
Decoupled No Virus
1% MVM Run 1
1% MVM Run 2
Coupled No Virus
• Achieved only 53% of target throughput
• Only non-spiked coupled train (with pre-filter) exceeded target
• Decoupled trains displayed both cake formation and pore plugging type fouling
• Visible particle formation post transfer of feed into reservoirs
• Conclusion: FAIL. Requires revalidation
Concentration mg/mL 7.9
*Target Throughput L/m2
(g/m2)
> 318
(2510)
**Achieved Throughput L/m2
( g/m2
)
168
(1330)
* Target based on production scale
** Achieved based on worst VF performance
Key Goals for Viral Filtration Validation Study of
mAb A
• Overcoming filter fouling
– Minimize factors linked to particulate formation
• Optimize strategies for handling VF load when
conducting VF validation
• Measuring sub visible particles (SVP)
– Establish SVP analytical techniques and apply to VF loads
– Correlating SVP formation and distribution as function of VF
handling practices
Detection Method: Flow Microscopy
• Utilizes optical system similar to
microscope
• Detects particle sizes of 1 μm to
>100 mm diameter
• Captures real time images of
particles in fluid as it passes
through a flow cell
• Distribute sizes based on equivalent
spherical diameter (ESD) or area
based diameter (ABD)*
*Fluid Imaging Technologies (© 2010). Imaging Particle Analysis – Technology. Retrieved September 4, 2013, from
http://www.fluidimaging.com/
EXPERIMENT
 “Gently” handled VF Load was tested directly on FlowCAM
 “Non Gentle” handled VF load experienced turbulence (3x pour and swirl) to mimic
validation handling practices, then tested on FlowCAM
FlowCAM Data Acquisition : How is it Done?
Quantitative Particle Detection of mAb A
During Viral Filtration
• Particle concentration increased as a result of turbulent, “non gentle” conditions
• Handling conditions were linked to membrane fouling; therefore new methods
need to be developed to minimize particle formation in an effort to increase
process efficiency while reducing cost
222761
61594
7169 4512 2671
9122
1005
69267
7213 2776 1823 946 3582 372
-3.E+04
2.E+04
7.E+04
1.E+05
2.E+05
2.E+05
1-2um 2-4um 4-6um 6-8um 8-10um > 10um > 25um
ParticlespermL(P/ML)
Particle Size ( μm)
Non Gentle
Gentle Handling
1-2 μm 2-4 μm 4-6 μm 5-8 μm 8-10 μm >10 μm >25 μm
Orthogonal Particle Detection Method: DLS
Dynamic Light Scattering
• DLS (dynamic light scattering, also known
as quasi-elastic light scattering), uses light
scattering of a laser beam and very fast
decay measurement to determine the
hydrodynamic radius and polydispersity of
the species present.
• It can measure radii down to 0.5 nm and
determine radii for two populations with
radii at least 5-fold different, with best
results if 10-fold different
Kuebler S. “Characterizing stable protein formulations.” Genetic Engineering & Biotechnology News 27.20 (2007). Accessed September 4,
2013 from http://genengnews.com.
EXPERIMENT
 “Gently” handled VF feed was loaded directly onto microplate for DLS testing
 “Non Gentle” handled VF load experienced turbulence (3x pour and swirl) to
mimic validation handling practices prior to testing
 Over the duration of one hour, DLS data was collected
“Gently” handled samples
5-6 nm
“Non-Gently”
handled samples
5-6 nm
Aggregates of mAb
• DLS can be used as an orthogonal approach for SVP detection
• Detected differences in handling conditions (5-6 nm mAbs vs. large particles)
• Non-monomer particles were detected as a result of “non gentle” conditions
• 20nm VPro pore size, may be increasingly susceptible to membrane fouling
due to handling conditions
Qualitative Particle Detection of VF Load
Impact of Process Change on Process
Efficiency and Cost for mAb A
• By modifying formulation of in-process material and handling techniques,
particle formation was mitigated, enabling flux to maintain > 100 LMH and target
throughputs were exceeded
• With 1% spikes of both feeds, was able to show adequate log clearance
0
50
100
150
200
250
300
350
400
450
0 100 200 300 400 500 600
VProFlux(LMH)
Volumetric Throughput (L/m2)
1% MVM N=1
1% MVM N=2
1% XMuLV N=1
1% XMuLV N=2
Concentration mg/mL 7.0
*Target Throughput L/m2
(g/m2)
> 318
(2510)
**Achieved Throughput L/m2
( g/m2
)
517
(3620)
* Target based on production scale
** Achieved based on worst VF performance
Case 2: Use of SVP Analysis During
Combination Product Development
• Drug product-container compatibility is a critical
factor in the successful development of biologic
combination products
• SVP testing was conducted to evaluate stability of
a high concentration mAb formulation (mAb B), in
different brands/types of pre-filled syringes (PFS)
Glass PFS Plastic PFS
Brand Brand X MySafill®
Packaging
Material
Glass
(borosilicate)
Plastic
(Cyclo Olefin Polymer )
Pros Scratch resistant,
Transparent
Low protein adsorption*,
Tungsten not required,
Retractable needle,
Cons Breakage,
Tungsten,
Alkali oxide,
Negatively charged Surface
Higher leachable profile,
More easily scratched
*In selected cases
Glass PFS and MySafill® (a new polymer PFS with
integrated safety feature) were directly compared
with respect to their impact on stability of mAb B
What is Different about MySafill®?
Same injection technique as the conventional pre-filled syringe; retraction of
needle is activated by pressing the plunger rod after completion of injection
Courtesy of Medical Chain International
Shaking Experiment – Visual Observation
Active
Control
Glass PFS
A
Glass PFS
B
Glass PFS
C MySafill
Active
Shaken
Glass PFS
A
Glass PFS
B
Glass PFS
C
MySafill
Shaking Experiment – SEC-HPLC
96.0
96.4
96.8
97.2
97.6
98.0
98.4
98.8
%MAINPEAK
Control Shaken
Glass A Glass CGlass B MySafill
Shaking Experiment - Flow Microscopy
-10000
0
10000
20000
30000
40000
50000
60000
70000
PARTICLECONC.(PARTICLES/ML)
Flow Microscopy (Average of 2 Consecutive Runs)
Control Shaken
Glass PFS A Glass PFS B Glass PFS C MySafill PFS Placebo
Morphology of Particles is Important
for Identification
Glass PFS Agitated in bad formulation Glass PFS Agitated in good formulation
MySafill Agitated in bad formulation MySafill Agitated in good formulation
Effect of Stress Method on Aggregate
Morphology
Images of mechanical stress-induced
particles in IgG solution
Images of thermal stress-induced
particles in IgG solution
Container Material & Formulation Impact on
Subvisible Particle Formation upon Agitation
(Flow Microscopy)
0
2000
4000
6000
8000
10000
12000
14000
16000
BD Glass Syringe (no
agitation)
BD Glass Syringe
agitated (No PS 20)
Glass Syringe agitated
(with PS 20)
MySafill (no agitation) MySafill agitated (no
PS 20)
MySfaill agitated (with
PS 20)
2-4um
4-6um
6-8um
8-10um
10-25um
greater than 25um
ParticleConcentration
(particles/mL)
Glass, No Agitation Glass-PS, Agitation Glass+PS, Agitation Plastic, No Agitation Plastic-PS, Agitation Plastic+PS, Agitation
Proper integration of formulation, delivery device, and analytical technology
is essential
The ‘Triad’ of Biologics Drug
Product Development
Formulation
To Achieve
Stability and
Process
Efficiency
New Analytics
Enable
True Product
Characterization
Innovative
Delivery
Technology
IV to SC
Improved patient care and chance of commercial success
Current Situation
The Future of Biologics Marketplace The ‘pinnacle’ is not as hard to reach
as it may seem
The Best Selling Brand of a Biologic in Asia
Lack of proper integration in biologic drug product development will manifests itself
Conclusions
• New technologies are enabling better understanding of
protein aggregation pathway as well as early detection,
which is the first step towards effective control of this key
quality attribute
• Protein aggregate/subvisible particle analysis should
begin ‘upstream’ of drug product development (stable
drug product begins with stable drug substance)
• One can speed up drug product development and
ensure long term sustainability by optimizing biologics
formulation and integrating it with delivery device and
analytical technology.
• The increased regulatory and market expectation for
high quality biopharmaceuticals creates opportunities for
those who fully embrace drug product formulation,
analytical, and drug delivery expertise. These are the
backbone of every successful commercial product!
Thank you!
Compassion BioSolution, LLC
Danny K. Chou, PharmD, PhD
E-mail: pharmd98@gmail.com
Phone (USA): 303-483-3690
Compassionbiosolution.com

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Protein Aggregation Properties Revealed by New Methods

  • 1. Aggregation Properties of Therapeutic Proteins Revealed by New Analytical Methods Danny K. Chou, PharmD, PhD President, Compassion BioSolution, LLC Biologics world Taiwan 2016 25th, February 2016
  • 2. Presentation Outline • How protein aggregation occurs and the dominant forces that control the formation of aggregates and particulates. • How does protein aggregation affect development and commercial viability of biopharmaceuticals • How do you monitor and control formation of aggregates and particles? What is the state-of the- art analytical approach? • Why proper integration of formulation, container- closure, and analytical technology is essential to the success of a biologics development program.
  • 3. Success Drivers in Biologic Drug Development • Thanks to the favorable clinical profile of biologics and increasing market demand the growth in development of biopharmaceuticals is already surpassing that of conventional drugs. • Along with this trend the challenges of biopharmaceutical development has become a significant barrier to entry and sustainable commercial success • Commercial success requires both innovative technical development and management of unique challenges associated with the nature of biologics • One of the these key technical challenges is protein aggregation
  • 4. Why Are Proteins so Difficult to Develop? Putting Things Into Perspective With Respect to Size of Biologic Molecules *NEJM 2011
  • 5. What is Protein Aggregation and Why is it Important? • Protein aggregates: “High molecular weight proteins composed of multimers of natively conformed or denatured monomers” (Rosenberg, 2006) • Aggregates can reduce biological activity, or worse, induce immune response, but the mechanism is still not very well understood • Immunogenicity is a major product SAFETY concern
  • 6. Protein Aggregation – Mechanisms • Protein therapeutics are highly complex in terms of size, structure and function. • Structural flexibility presents a higher risk for physical instability as well as a major regulatory concern on product quality and safety. Krishnamurthy et al. BioProcess International, 2008
  • 7. Phenomenon of Protein Aggregation – What Do We Know at the Present? • Both conformational and colloidal stability play a role Chi et al., Pharm. Res. 20:1325, 2003
  • 8. Contributing Factors to Formation of Soluble Protein Aggregates and Particles Bioprocessing from start to end Physical/chemical Stresses: pH, ionic strength, temperature, chemical modification, light, agitation, mechanical shock, freeze- thaw, etc. Air/Solid-Liquid Interfaces: Protein contact with tubings, pumps, pipes, vessels, filters, columns, etc. Foreign Particles: Stainless steel, glass, plastic, rubber, tungsten, silicone oil, etc. Fermentation/cell culture Purification Filling Packaging Shipping Storage Administration
  • 9. Not all Aggregates or Particles are the same…. P G P G P G P G Dissociable Dimer P G P G P G P G Non Dissociable Dimer P G P G P G P G P G P G P G P G P G P G Non Dissociable Aggregate P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G Subvisible Particles P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G P G Visible Protein Particles Visible Extraneous Particles
  • 10. Why is protein aggregation relevant to biopharmaceutical development and manufacturing? • Protein aggregation has long been suspected as a having a role in safety and efficacy of biologics
  • 11. How subvisible particles became a key focus for regulators throughout the globe
  • 12. Subvisible Particles- a highly visible topic
  • 13. Orthogonal Techniques that Cover Various Particle Size Ranges 0.001 um 0.01 um 0.1 um 1 um 10 um 100 um 600 um SEC, AUC DLS Flow microscopy HIAC / Light Obscuration Visual 1 nm 10 nm 100 nm 1000 nm Subvisible aggregates Silicone droplets Nano-emulsions & suspensions Visible aggregates Emulsions & suspensions Glass, rubber, plastic, etc., particles RMM Nanosight
  • 14. Extended characterization per USP<1787> Technique Size Range Light obscuration 2-300 um Electrical senzing zone (Coulter) 0.4-1600 um Laser diffraction 0.1-3500 mm Light microscopy 0.3 um to 1 um Flow imaging analysis 1 um-100 um for size distribution; 5-100 um for morphology Electron microscopy (EM): Scanning EM, scanning transmission EM, and transmission EM A to mm Fourier Transform Infrared (FTIR) microspectroscopy 10 um to 1 mm Dispersive-Raman microspectroscopy 0.5 um to 1 mm Electron microscopy (EM) with energy- dispersive X-ray spectrometry (EDS) A to mm for imaging Size and distribution Size and morphology Characterization
  • 15. Criteria for Ideal Methodology • Detects SVPs ranging from 0.1 – 100 µmSize Range • Ideal if it allows for validation and setting acceptable limits. Particle Count • Protein Aggregate vs Silicone Oil Droplet vs External Inclusions (Metal, rubber etc.) Particle Type • Recording of particle image; Provision for visual identification and analysis.Image of Particle • Stable Aggregates vs Dilution-dependent Transient aggregates. No prior sample manipulation
  • 16. While This Field Continues to Evolve There is an Opportunity in Front of Us • SVP testing can be applied during process development to optimize processing conditions and reduce impurities • Proper integration of orthogonal technique is a powerful way to improve formulation robustness and assess drug product- delivery device compatibility
  • 17.
  • 18. Case 1: Use of Subvisible Particulate (SVP) Analysis During Process Development Background: • IgG monoclonal antibody (mAb A) • Manufactured at 2k L scale for Phase I and Phase II clinical testing • 3 Column Purification Platform • Affinity, Cation, Anion • Virus filtration in final position prior to UF/DF
  • 19. Validation Study of VF Performance (mAb A) 0 100 200 300 400 500 600 0 200 400 600 VProFlux(LMH) Volumetric Throughput (L/m2) 1% XMuLV Run 1 1% XMuLV Run 2 Decoupled No Virus 1% MVM Run 1 1% MVM Run 2 Coupled No Virus • Achieved only 53% of target throughput • Only non-spiked coupled train (with pre-filter) exceeded target • Decoupled trains displayed both cake formation and pore plugging type fouling • Visible particle formation post transfer of feed into reservoirs • Conclusion: FAIL. Requires revalidation Concentration mg/mL 7.9 *Target Throughput L/m2 (g/m2) > 318 (2510) **Achieved Throughput L/m2 ( g/m2 ) 168 (1330) * Target based on production scale ** Achieved based on worst VF performance
  • 20. Key Goals for Viral Filtration Validation Study of mAb A • Overcoming filter fouling – Minimize factors linked to particulate formation • Optimize strategies for handling VF load when conducting VF validation • Measuring sub visible particles (SVP) – Establish SVP analytical techniques and apply to VF loads – Correlating SVP formation and distribution as function of VF handling practices
  • 21. Detection Method: Flow Microscopy • Utilizes optical system similar to microscope • Detects particle sizes of 1 μm to >100 mm diameter • Captures real time images of particles in fluid as it passes through a flow cell • Distribute sizes based on equivalent spherical diameter (ESD) or area based diameter (ABD)* *Fluid Imaging Technologies (© 2010). Imaging Particle Analysis – Technology. Retrieved September 4, 2013, from http://www.fluidimaging.com/ EXPERIMENT  “Gently” handled VF Load was tested directly on FlowCAM  “Non Gentle” handled VF load experienced turbulence (3x pour and swirl) to mimic validation handling practices, then tested on FlowCAM
  • 22. FlowCAM Data Acquisition : How is it Done?
  • 23. Quantitative Particle Detection of mAb A During Viral Filtration • Particle concentration increased as a result of turbulent, “non gentle” conditions • Handling conditions were linked to membrane fouling; therefore new methods need to be developed to minimize particle formation in an effort to increase process efficiency while reducing cost 222761 61594 7169 4512 2671 9122 1005 69267 7213 2776 1823 946 3582 372 -3.E+04 2.E+04 7.E+04 1.E+05 2.E+05 2.E+05 1-2um 2-4um 4-6um 6-8um 8-10um > 10um > 25um ParticlespermL(P/ML) Particle Size ( μm) Non Gentle Gentle Handling 1-2 μm 2-4 μm 4-6 μm 5-8 μm 8-10 μm >10 μm >25 μm
  • 24. Orthogonal Particle Detection Method: DLS Dynamic Light Scattering • DLS (dynamic light scattering, also known as quasi-elastic light scattering), uses light scattering of a laser beam and very fast decay measurement to determine the hydrodynamic radius and polydispersity of the species present. • It can measure radii down to 0.5 nm and determine radii for two populations with radii at least 5-fold different, with best results if 10-fold different Kuebler S. “Characterizing stable protein formulations.” Genetic Engineering & Biotechnology News 27.20 (2007). Accessed September 4, 2013 from http://genengnews.com. EXPERIMENT  “Gently” handled VF feed was loaded directly onto microplate for DLS testing  “Non Gentle” handled VF load experienced turbulence (3x pour and swirl) to mimic validation handling practices prior to testing  Over the duration of one hour, DLS data was collected
  • 25. “Gently” handled samples 5-6 nm “Non-Gently” handled samples 5-6 nm Aggregates of mAb • DLS can be used as an orthogonal approach for SVP detection • Detected differences in handling conditions (5-6 nm mAbs vs. large particles) • Non-monomer particles were detected as a result of “non gentle” conditions • 20nm VPro pore size, may be increasingly susceptible to membrane fouling due to handling conditions Qualitative Particle Detection of VF Load
  • 26. Impact of Process Change on Process Efficiency and Cost for mAb A • By modifying formulation of in-process material and handling techniques, particle formation was mitigated, enabling flux to maintain > 100 LMH and target throughputs were exceeded • With 1% spikes of both feeds, was able to show adequate log clearance 0 50 100 150 200 250 300 350 400 450 0 100 200 300 400 500 600 VProFlux(LMH) Volumetric Throughput (L/m2) 1% MVM N=1 1% MVM N=2 1% XMuLV N=1 1% XMuLV N=2 Concentration mg/mL 7.0 *Target Throughput L/m2 (g/m2) > 318 (2510) **Achieved Throughput L/m2 ( g/m2 ) 517 (3620) * Target based on production scale ** Achieved based on worst VF performance
  • 27. Case 2: Use of SVP Analysis During Combination Product Development • Drug product-container compatibility is a critical factor in the successful development of biologic combination products • SVP testing was conducted to evaluate stability of a high concentration mAb formulation (mAb B), in different brands/types of pre-filled syringes (PFS)
  • 28. Glass PFS Plastic PFS Brand Brand X MySafill® Packaging Material Glass (borosilicate) Plastic (Cyclo Olefin Polymer ) Pros Scratch resistant, Transparent Low protein adsorption*, Tungsten not required, Retractable needle, Cons Breakage, Tungsten, Alkali oxide, Negatively charged Surface Higher leachable profile, More easily scratched *In selected cases Glass PFS and MySafill® (a new polymer PFS with integrated safety feature) were directly compared with respect to their impact on stability of mAb B
  • 29. What is Different about MySafill®? Same injection technique as the conventional pre-filled syringe; retraction of needle is activated by pressing the plunger rod after completion of injection Courtesy of Medical Chain International
  • 30. Shaking Experiment – Visual Observation Active Control Glass PFS A Glass PFS B Glass PFS C MySafill Active Shaken Glass PFS A Glass PFS B Glass PFS C MySafill
  • 31. Shaking Experiment – SEC-HPLC 96.0 96.4 96.8 97.2 97.6 98.0 98.4 98.8 %MAINPEAK Control Shaken Glass A Glass CGlass B MySafill
  • 32. Shaking Experiment - Flow Microscopy -10000 0 10000 20000 30000 40000 50000 60000 70000 PARTICLECONC.(PARTICLES/ML) Flow Microscopy (Average of 2 Consecutive Runs) Control Shaken Glass PFS A Glass PFS B Glass PFS C MySafill PFS Placebo
  • 33. Morphology of Particles is Important for Identification Glass PFS Agitated in bad formulation Glass PFS Agitated in good formulation MySafill Agitated in bad formulation MySafill Agitated in good formulation
  • 34. Effect of Stress Method on Aggregate Morphology Images of mechanical stress-induced particles in IgG solution Images of thermal stress-induced particles in IgG solution
  • 35. Container Material & Formulation Impact on Subvisible Particle Formation upon Agitation (Flow Microscopy) 0 2000 4000 6000 8000 10000 12000 14000 16000 BD Glass Syringe (no agitation) BD Glass Syringe agitated (No PS 20) Glass Syringe agitated (with PS 20) MySafill (no agitation) MySafill agitated (no PS 20) MySfaill agitated (with PS 20) 2-4um 4-6um 6-8um 8-10um 10-25um greater than 25um ParticleConcentration (particles/mL) Glass, No Agitation Glass-PS, Agitation Glass+PS, Agitation Plastic, No Agitation Plastic-PS, Agitation Plastic+PS, Agitation Proper integration of formulation, delivery device, and analytical technology is essential
  • 36. The ‘Triad’ of Biologics Drug Product Development Formulation To Achieve Stability and Process Efficiency New Analytics Enable True Product Characterization Innovative Delivery Technology IV to SC Improved patient care and chance of commercial success Current Situation The Future of Biologics Marketplace The ‘pinnacle’ is not as hard to reach as it may seem
  • 37. The Best Selling Brand of a Biologic in Asia Lack of proper integration in biologic drug product development will manifests itself
  • 38. Conclusions • New technologies are enabling better understanding of protein aggregation pathway as well as early detection, which is the first step towards effective control of this key quality attribute • Protein aggregate/subvisible particle analysis should begin ‘upstream’ of drug product development (stable drug product begins with stable drug substance) • One can speed up drug product development and ensure long term sustainability by optimizing biologics formulation and integrating it with delivery device and analytical technology. • The increased regulatory and market expectation for high quality biopharmaceuticals creates opportunities for those who fully embrace drug product formulation, analytical, and drug delivery expertise. These are the backbone of every successful commercial product!
  • 39. Thank you! Compassion BioSolution, LLC Danny K. Chou, PharmD, PhD E-mail: pharmd98@gmail.com Phone (USA): 303-483-3690 Compassionbiosolution.com