Biotechnology Progress - 2021 - Shariatzadeh - Application of a simple unstructured kinetic and cost of goods models to.pdf (2.96 MB)
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Application of a simple unstructured kinetic and cost of goods models to support T-cell therapy manufacture

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journal contribution
posted on 20.09.2021, 14:19 authored by Maryam Shariatzadeh, Adriana G Lopes, Katie GlenKatie Glen, Andrew Sinclair, Rob ThomasRob Thomas
Manufacturing of cell therapy products requires sufficient understanding of the cell culture variables and associated mechanisms for adequate control and risk analysis. The aim of this study was to apply an unstructured ordinary differential equationbased model for prediction of T-cell bioprocess outcomes as a function of process input parameters. A series of models were developed to represent the growth of T-cells as a function of time, culture volumes, cell densities, and glucose concentration using data from the Ambr®15 stirred bioreactor system. The models were sufficiently representative of the process to predict the glucose and volume provision required to maintain cell growth rate and quantitatively defined the relationship between glucose concentration, cell growth rate, and glucose utilization rate. The models demonstrated that although glucose is a limiting factor in batch supplied medium, a delivery rate of glucose at significantly less than the maximal specific consumption rate (0.05 mg 1 ? 106 cell h1 ) will adequately sustain cell growth due to a lower glucose Monod constant determining glucose consumption rate relative to the glucose Monod constant determining cell growth rate. The resultant volume and exchange requirements were used as inputs to an operational BioSolve cost model to suggest a cost-effective T-cell manufacturing process with minimum cost of goods per million cells produced and optimal volumetric productivity in a manufacturing settings. These findings highlight the potential of a simple unstructured model of T-cell growth in a stirred tank system to provide a framework for control and optimization of bioprocesses for manufacture.

Funding

FUTURE TARGETED HEALTHCARE MANUFACTURING HUB

Engineering and Physical Sciences Research Council

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History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

Biotechnology Progress

Volume

37

Issue

6

Publisher

Wiley

Version

VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This is an Open Access Article. It is published by Wiley under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

25/08/2021

Publication date

2021-08-28

Copyright date

2021

ISSN

8756-7938

eISSN

1520-6033

Language

en

Depositor

Dr Maryam Shariatzadeh. Deposit date: 16 September 2021

Article number

e3205