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Merck KGaA
Darmstadt, Germany
Kara Levine, Ph.D.
Increased MSC Production in Stirred Tank Bioreactors
Investing in process
development
The life science business of
Merck KGaA, Darmstadt, Germany
operates as MilliporeSigma
in the U.S. and Canada.
2
Cell therapy manufacturing
Manufacturing for cell therapies
Process development
 Solid – liquid mixing
 Gassing
Case study
 Mesenchymal stem/stromal cells
 Seed train optimization
Topics
3
Manufacturing for
cell therapies
Current trends
Regenerative Medicine
Cell Therapies
• Leverage inherent capabilities of human cell
biology
• Potentially curative treatments for diseases
that are currently only managed
• Chronic treatments replaced with acute
therapies
Challenges for Industry and Patients
• Regulatory uncertainty
• Reimbursement uncertainty
• Efficient, cost-effective manufacturing
Regenerative Medicine Clinical Trials from the Alliance for Regenerative Medicine
SOTI 2018 Report
5
Current trends
Regenerative Medicine
Cell Therapies
• Leverage inherent capabilities of human cell
biology
• Potentially curative treatments for diseases
that are currently only managed
• Chronic treatments replaced with acute
therapies
Challenges for Industry and Patients
• Regulatory uncertainty
• Reimbursement uncertainty
• Efficient, cost-effective manufacturing
Regenerative Medicine Clinical Trials from the Alliance for Regenerative Medicine
SOTI 2018 Report
Successful clinical trials must be
translated to marketable treatments
6
7
Transitioning to a Commercialization Platform
How do we get from here…
… to here?
8
Transitioning to a Commercialization Platform
How do we get from here…
… to here?
Key Technology Gaps
• Understand the science behind the product
• Address ways to measure
• Identify process influences that effect attributes
• Implement standardized and controlled processes
9
Transitioning to a Commercialization Platform
How do we get from here…
… to here?
Key Technology Gaps
• Understand the science behind the product
• Address ways to measure
• Identify process influences that effect attributes
• Implement standardized and controlled processes
Critical Needs
• Scalable
• GMP and closed
• Economically viable processes
• Clinical-grade or GMP raw materials
10
Templates Have Driven Successful Commercialization
Biopharmaceuticals
 Selecting and testing raw
materials
 Testing process intermediates
 Downstream unit operations
validated to inactivate and
remove adventitious agents
11
Toward a New Template
Cell Therapies
 Selecting and testing raw materials
 Testing process intermediates
12
Toward a New Template
Cell Therapies
 Selecting and testing raw materials
 Testing process intermediates
 Closed systems
 Time from expansion to preservation
to maintain viability & potency
 Effects of hydrodynamics on cells
Microcarrier
separation
Concentration Filling
13
Process development
POLL QUESTION 2
15
Challenges and considerations
Microcarrier-based Suspension Culture
•Microcarrier-based culture is highly complex
•Higher hydrodynamic forces than planar culture
•Media formulation interacts with other
parameters:
•Sparging
•Oxygen demands
•Microcarrier characteristics
Schnitzler et al. Biochem Eng J 108 (2016) 3-13.
16
Challenges and considerations
Microcarrier-based Suspension Culture
•Microcarrier-based culture is highly complex
•Higher hydrodynamic forces than planar culture
•Media formulation interacts with other
parameters:
•Sparging
•Oxygen demands
•Microcarrier characteristics
Schnitzler et al. Biochem Eng J 108 (2016) 3-13.
17
Defining States of Microcarrier Suspension
Nmin Nc Njs Nh
State of Suspension No Suspension On-Bottom Off-Bottom
Suspension Gradient Large Minimal None
Microcarrier Processes
Impeller
RPM
0 Max
18
Impact on cell growth
Scalability of Microcarrier Suspension
19
Empirical measurements Zwietering correlation Stirred-tank cell culture
N: agitation (rpm)
S: Zwietering N constant
V: kinematic viscosity (m2/s)
g: gravitational constant (m2/s)
ρs: solid density (kg/m3)
ρl: solid density (kg/m3)
X: solids loading ((kg solids/kg
liquid)x100)
dp: particle diameter (m)
D: tank diameter (m)
0 2 4 6 8 10 12
CellGrowth(Fold)
Days in Culture
100
80
60
40
20
0
▬Njs ▬Nc / Njs ▬Njs / Nh ▬Nh ▬Nc
0
40
80
120
160
0 5 10 15 20 25
AgitationRate(RPM)
Microcarriers (g/L)
Nc
Njs
Nh
0
20
40
60
80
100
0 5 10 15 20 25
AgitationRate(RPM)
Microcarriers (g/L)
Nc
Njs
Nh
0
20
40
60
80
100
0 5 10 15 20 25
AgitationRate(RPM)
Microcarriers (g/L)
Nc
Njs
Nh
0
40
80
120
160
0 5 10 15 20 25
AgitationRate(RPM)
Microcarriers (g/L)
Nc
Njs
Nh
Gassing Strategy
Gas Input
Gas
Input
Overlay
Gassing
Openpipe
Sparging
Micro-
sparging
Gas
Input
Gas diffusion & Shear effect
20
MSC cell growth may also be impacted by non-optimal gassing
Gassing Strategy
Gas Input
Gas
Input
Overlay
Gassing
Openpipe
Sparging
Micro-
sparging
0 2 4 6 8 10 12
CellGrowth(Fold)
Day
Openpipe-Unoptimized
Overlay
140
120
100
80
60
40
20
0
Note: Openpipe control started on day 6
(overlay prior to day 6)
Gas
Input
Gas diffusion & Shear effect
21
Cell O2 consumption can be modeled without cells or media
Dissolved Oxygen Control
 Mock media-1X PBS, 1g/L Pluronic®, 37.5ppm Antifoam
 Simulated MSC Oxygen Uptake Rate (OUR): 98fmol/cell/hr*
Simulate OUR
Manual N2=Modeled O2
Consumption by Cells
* Pattappa, G, et al. The metabolism of Human Mesenchymal Stem Cells During Proliferation and Differentiation, Journal of Cellular Physiology, 226: 2562-2570, 2011
CellGrowth
22
Optimized PID and minimized flow rates for effective control
Variable Gassing Strategies
0
1
2
3
4
5
6
7
8
9
0
10
20
30
40
50
60
70
80
90
100
0.0 0.2 0.4 0.6 0.8 1.0
FlowRate(sL/hr)
dOorXO2%
Duration (days)
80% dO O2 Concentration Flow Rate
0.0
0.1
0.2
0.3
0.4
0.5
0.6
0.7
0
10
20
30
40
50
60
70
80
90
100
3.33 3.53 3.73 3.93
FlowRatesL/hr
dOorXO2%
Duration (days)
50% dO O2 Concentration Flow Rate
Overlay Gassing Open Pipe Sparging
23
MSC cell growth and metabolites did not vary between conditions
Comparing Gassing Strategies
CellGrowth
Feed
24
MSC cell surface marker expression did not vary between conditions
Comparing Gassing Strategies
0
20
40
60
80
100
CD90 CD73 CD105 CD146 CD34 HLA
%ofCells
25
MSC cell growth did not vary, slight increase of glucose consumption
Comparing DO Set-points
CellGrowth
Feed
26
MSC cell surface marker expression did not vary based on DO set-point
Comparing DO Set-points
0
20
40
60
80
100
CD90 CD73 CD105 CD146 CD34 HLA
%ofCells
20%
50%
80%
20% DO
50% DO
80% DO
27
Process Development Summary
28
Case study
Process optimization is an iterative process of parameter evaluation
Case Study – bmMSC, 50 L Performance
30
Improved run resulted in more than two-fold process improvement
31
MSCs expanded at 50 L scale retain functional attributes
Seed train Post-50 L
AdipocytesChondrocytesOsteoblasts
Multipotency
32
MSCs expanded at 50 L scale retain functional attributes
Seed train Post-50 L
AdipocytesChondrocytesOsteoblasts
Multipotency
Post-50 L
99% Inhibition
Seed train
98% Inhibition
ActivatedNon-Activated
Lawson et al. Biochem Eng J 120 (2017) 49-62.
Immune Modulation
Inhibition of T cell growth Activation marker expression
33
Seed Train Strategies for
bioreactor culture
Typical Seed Train Strategies for Production of MSCs
Seed Train Production
Planar Process
•Manually Driven
•Open process
•Labor intensive
Seed Train Production
Bioreactor Process
•Greater control
•Partially closed
•Production Scale
35
Optimizing seed train can decrease manufacturing risk, time & cost
Closed Seed Train for Production of MSCs
Seed Train Production
Closed Process
 Risk
 Control
 Timelines
 Costs
36
Direct Thaw of Cryopreserved MSCs into N-1 Seed Bioreactor
Seed Train Production
Direct Thaw into n-1 Bioreactor
• Planar seed train remains a common
step in MSC production
• Risks of direct thaw into the
bioreactor may include:
• Increased exposure to shear
• Cryo carry-over into production
37
Cell-microcarrier attachment is not impacted by direct thaw into the bioreactor
Bioreactor Day 1 Attachment Counts and Calcein Staining
Direct Thaw into BRXPlanar Seed Train
Planar
Seed
Direct
Thaw
38
Direct Seed of MSCs on Microcarriers into the Production Bioreactor
•Modeled 3  50L microcarrier
based MSC production process
•Verified feasibility using a scaled
down system based in 3L STR
bioreactors
Seed Train Production
Closed Scale Up of Bioreactor Process
N-1 Reactor Seeds Production
39
Comparable yields can be achieved in less time with an optimized seed train
Typical vs. Closed Bioreactor Processing
•Cells grown in αmem media +
human platelet lysate
•Microcarrier density constant at
15 g/L
•Identical feed strategies
Closed Process
Typical Process
TotalCells
40
Surface markers are unchanged following implementation of a closed process
Flow Cytometry: MSCs Produced in a Typical or Closed process
41
Cell therapy manufacturing: Where are we?
Closing
GOAL
Cost effective, scalable processes to reproducibility produce the product
42
Gene Editing and Novel Modalities Product Development & Services
Carlsbad - US
Virus Manufacturing
Gene Editing, Cell Models & Cell Line Development
Cell & Gene Therapy Manufacturing Tools
St. Louis - US
Bedford, MA - US
Glasgow – UK
43
The vibrant M is a trademark of Merck KGaA, Darmstadt, Germany or its affiliates. All other trademarks are the property of their respective owners. Detailed
information on trademarks is available via publicly accessible resources.
© 2017 Merck KGaA, Darmstadt, Germany and/or its affiliates. All Rights Reserved.

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Investing in Process Development for Increased MSC Production in Stirred Tank Bioreactors

  • 1. Merck KGaA Darmstadt, Germany Kara Levine, Ph.D. Increased MSC Production in Stirred Tank Bioreactors Investing in process development
  • 2. The life science business of Merck KGaA, Darmstadt, Germany operates as MilliporeSigma in the U.S. and Canada. 2
  • 3. Cell therapy manufacturing Manufacturing for cell therapies Process development  Solid – liquid mixing  Gassing Case study  Mesenchymal stem/stromal cells  Seed train optimization Topics 3
  • 5. Current trends Regenerative Medicine Cell Therapies • Leverage inherent capabilities of human cell biology • Potentially curative treatments for diseases that are currently only managed • Chronic treatments replaced with acute therapies Challenges for Industry and Patients • Regulatory uncertainty • Reimbursement uncertainty • Efficient, cost-effective manufacturing Regenerative Medicine Clinical Trials from the Alliance for Regenerative Medicine SOTI 2018 Report 5
  • 6. Current trends Regenerative Medicine Cell Therapies • Leverage inherent capabilities of human cell biology • Potentially curative treatments for diseases that are currently only managed • Chronic treatments replaced with acute therapies Challenges for Industry and Patients • Regulatory uncertainty • Reimbursement uncertainty • Efficient, cost-effective manufacturing Regenerative Medicine Clinical Trials from the Alliance for Regenerative Medicine SOTI 2018 Report Successful clinical trials must be translated to marketable treatments 6
  • 7. 7
  • 8. Transitioning to a Commercialization Platform How do we get from here… … to here? 8
  • 9. Transitioning to a Commercialization Platform How do we get from here… … to here? Key Technology Gaps • Understand the science behind the product • Address ways to measure • Identify process influences that effect attributes • Implement standardized and controlled processes 9
  • 10. Transitioning to a Commercialization Platform How do we get from here… … to here? Key Technology Gaps • Understand the science behind the product • Address ways to measure • Identify process influences that effect attributes • Implement standardized and controlled processes Critical Needs • Scalable • GMP and closed • Economically viable processes • Clinical-grade or GMP raw materials 10
  • 11. Templates Have Driven Successful Commercialization Biopharmaceuticals  Selecting and testing raw materials  Testing process intermediates  Downstream unit operations validated to inactivate and remove adventitious agents 11
  • 12. Toward a New Template Cell Therapies  Selecting and testing raw materials  Testing process intermediates 12
  • 13. Toward a New Template Cell Therapies  Selecting and testing raw materials  Testing process intermediates  Closed systems  Time from expansion to preservation to maintain viability & potency  Effects of hydrodynamics on cells Microcarrier separation Concentration Filling 13
  • 16. Challenges and considerations Microcarrier-based Suspension Culture •Microcarrier-based culture is highly complex •Higher hydrodynamic forces than planar culture •Media formulation interacts with other parameters: •Sparging •Oxygen demands •Microcarrier characteristics Schnitzler et al. Biochem Eng J 108 (2016) 3-13. 16
  • 17. Challenges and considerations Microcarrier-based Suspension Culture •Microcarrier-based culture is highly complex •Higher hydrodynamic forces than planar culture •Media formulation interacts with other parameters: •Sparging •Oxygen demands •Microcarrier characteristics Schnitzler et al. Biochem Eng J 108 (2016) 3-13. 17
  • 18. Defining States of Microcarrier Suspension Nmin Nc Njs Nh State of Suspension No Suspension On-Bottom Off-Bottom Suspension Gradient Large Minimal None Microcarrier Processes Impeller RPM 0 Max 18
  • 19. Impact on cell growth Scalability of Microcarrier Suspension 19 Empirical measurements Zwietering correlation Stirred-tank cell culture N: agitation (rpm) S: Zwietering N constant V: kinematic viscosity (m2/s) g: gravitational constant (m2/s) ρs: solid density (kg/m3) ρl: solid density (kg/m3) X: solids loading ((kg solids/kg liquid)x100) dp: particle diameter (m) D: tank diameter (m) 0 2 4 6 8 10 12 CellGrowth(Fold) Days in Culture 100 80 60 40 20 0 ▬Njs ▬Nc / Njs ▬Njs / Nh ▬Nh ▬Nc 0 40 80 120 160 0 5 10 15 20 25 AgitationRate(RPM) Microcarriers (g/L) Nc Njs Nh 0 20 40 60 80 100 0 5 10 15 20 25 AgitationRate(RPM) Microcarriers (g/L) Nc Njs Nh 0 20 40 60 80 100 0 5 10 15 20 25 AgitationRate(RPM) Microcarriers (g/L) Nc Njs Nh 0 40 80 120 160 0 5 10 15 20 25 AgitationRate(RPM) Microcarriers (g/L) Nc Njs Nh
  • 21. MSC cell growth may also be impacted by non-optimal gassing Gassing Strategy Gas Input Gas Input Overlay Gassing Openpipe Sparging Micro- sparging 0 2 4 6 8 10 12 CellGrowth(Fold) Day Openpipe-Unoptimized Overlay 140 120 100 80 60 40 20 0 Note: Openpipe control started on day 6 (overlay prior to day 6) Gas Input Gas diffusion & Shear effect 21
  • 22. Cell O2 consumption can be modeled without cells or media Dissolved Oxygen Control  Mock media-1X PBS, 1g/L Pluronic®, 37.5ppm Antifoam  Simulated MSC Oxygen Uptake Rate (OUR): 98fmol/cell/hr* Simulate OUR Manual N2=Modeled O2 Consumption by Cells * Pattappa, G, et al. The metabolism of Human Mesenchymal Stem Cells During Proliferation and Differentiation, Journal of Cellular Physiology, 226: 2562-2570, 2011 CellGrowth 22
  • 23. Optimized PID and minimized flow rates for effective control Variable Gassing Strategies 0 1 2 3 4 5 6 7 8 9 0 10 20 30 40 50 60 70 80 90 100 0.0 0.2 0.4 0.6 0.8 1.0 FlowRate(sL/hr) dOorXO2% Duration (days) 80% dO O2 Concentration Flow Rate 0.0 0.1 0.2 0.3 0.4 0.5 0.6 0.7 0 10 20 30 40 50 60 70 80 90 100 3.33 3.53 3.73 3.93 FlowRatesL/hr dOorXO2% Duration (days) 50% dO O2 Concentration Flow Rate Overlay Gassing Open Pipe Sparging 23
  • 24. MSC cell growth and metabolites did not vary between conditions Comparing Gassing Strategies CellGrowth Feed 24
  • 25. MSC cell surface marker expression did not vary between conditions Comparing Gassing Strategies 0 20 40 60 80 100 CD90 CD73 CD105 CD146 CD34 HLA %ofCells 25
  • 26. MSC cell growth did not vary, slight increase of glucose consumption Comparing DO Set-points CellGrowth Feed 26
  • 27. MSC cell surface marker expression did not vary based on DO set-point Comparing DO Set-points 0 20 40 60 80 100 CD90 CD73 CD105 CD146 CD34 HLA %ofCells 20% 50% 80% 20% DO 50% DO 80% DO 27
  • 30. Process optimization is an iterative process of parameter evaluation Case Study – bmMSC, 50 L Performance 30
  • 31. Improved run resulted in more than two-fold process improvement 31
  • 32. MSCs expanded at 50 L scale retain functional attributes Seed train Post-50 L AdipocytesChondrocytesOsteoblasts Multipotency 32
  • 33. MSCs expanded at 50 L scale retain functional attributes Seed train Post-50 L AdipocytesChondrocytesOsteoblasts Multipotency Post-50 L 99% Inhibition Seed train 98% Inhibition ActivatedNon-Activated Lawson et al. Biochem Eng J 120 (2017) 49-62. Immune Modulation Inhibition of T cell growth Activation marker expression 33
  • 34. Seed Train Strategies for bioreactor culture
  • 35. Typical Seed Train Strategies for Production of MSCs Seed Train Production Planar Process •Manually Driven •Open process •Labor intensive Seed Train Production Bioreactor Process •Greater control •Partially closed •Production Scale 35
  • 36. Optimizing seed train can decrease manufacturing risk, time & cost Closed Seed Train for Production of MSCs Seed Train Production Closed Process  Risk  Control  Timelines  Costs 36
  • 37. Direct Thaw of Cryopreserved MSCs into N-1 Seed Bioreactor Seed Train Production Direct Thaw into n-1 Bioreactor • Planar seed train remains a common step in MSC production • Risks of direct thaw into the bioreactor may include: • Increased exposure to shear • Cryo carry-over into production 37
  • 38. Cell-microcarrier attachment is not impacted by direct thaw into the bioreactor Bioreactor Day 1 Attachment Counts and Calcein Staining Direct Thaw into BRXPlanar Seed Train Planar Seed Direct Thaw 38
  • 39. Direct Seed of MSCs on Microcarriers into the Production Bioreactor •Modeled 3  50L microcarrier based MSC production process •Verified feasibility using a scaled down system based in 3L STR bioreactors Seed Train Production Closed Scale Up of Bioreactor Process N-1 Reactor Seeds Production 39
  • 40. Comparable yields can be achieved in less time with an optimized seed train Typical vs. Closed Bioreactor Processing •Cells grown in αmem media + human platelet lysate •Microcarrier density constant at 15 g/L •Identical feed strategies Closed Process Typical Process TotalCells 40
  • 41. Surface markers are unchanged following implementation of a closed process Flow Cytometry: MSCs Produced in a Typical or Closed process 41
  • 42. Cell therapy manufacturing: Where are we? Closing GOAL Cost effective, scalable processes to reproducibility produce the product 42
  • 43. Gene Editing and Novel Modalities Product Development & Services Carlsbad - US Virus Manufacturing Gene Editing, Cell Models & Cell Line Development Cell & Gene Therapy Manufacturing Tools St. Louis - US Bedford, MA - US Glasgow – UK 43
  • 44. The vibrant M is a trademark of Merck KGaA, Darmstadt, Germany or its affiliates. All other trademarks are the property of their respective owners. Detailed information on trademarks is available via publicly accessible resources. © 2017 Merck KGaA, Darmstadt, Germany and/or its affiliates. All Rights Reserved.