This document discusses protein aggregation in biopharmaceutical development and analytical methods used to characterize aggregates. It provides an overview of how protein aggregation occurs and factors influencing aggregate formation. Methods to monitor and control aggregates during development are described, highlighting the importance of integrating formulation, manufacturing processes, and analytics. A case study is presented on using subvisible particulate analysis during process development of an IgG monoclonal antibody, where flow microscopy and dynamic light scattering detected higher particle levels when the viral filtration load was handled turbulently, linking handling conditions to membrane fouling and the need for gentler methods. The summary emphasizes the role of protein aggregation challenges in biologics development and technical solutions explored.
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….
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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
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
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