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Salvador WOS, Ribeiro IAB, Nogueira DES, Ferreira FC, Cabral JMS, Rodrigues CAV. Bioprocess Economic Modeling: Decision Support Tools for the Development of Stem Cell Therapy Products. BIOENGINEERING (BASEL, SWITZERLAND) 2022; 9:bioengineering9120791. [PMID: 36550997 PMCID: PMC9774475 DOI: 10.3390/bioengineering9120791] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/02/2022] [Revised: 12/07/2022] [Accepted: 12/09/2022] [Indexed: 12/14/2022]
Abstract
Over recent years, the field of cell and gene therapy has witnessed rapid growth due to the demonstrated benefits of using living cells as therapeutic agents in a broad range of clinical studies and trials. Bioprocess economic models (BEMs) are fundamental tools for guiding decision-making in bioprocess design, being capable of supporting process optimization and helping to reduce production costs. These tools are particularly important when it comes to guiding manufacturing decisions and increasing the likelihood of market acceptance of cell-based therapies, which are often cost-prohibitive because of high resource and quality control costs. Not only this, but the inherent biological variability of their underlying bioprocesses makes them particularly susceptible to unforeseen costs arising from failed or delayed production batches. The present work reviews important concepts concerning the development of bioprocesses for stem cell therapy products and highlights the valuable role which BEMs can play in this endeavor. Additionally, some theoretical concepts relevant to the building and structuring of BEMs are explored. Finally, a comprehensive review of the existent BEMs so far reported in the scientific literature for stem cell-related bioprocesses is provided to showcase their potential usefulness.
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Affiliation(s)
- William O. S. Salvador
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Associate Laboratory, i4HB—Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
| | - Inês A. B. Ribeiro
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Associate Laboratory, i4HB—Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
| | - Diogo E. S. Nogueira
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Associate Laboratory, i4HB—Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
| | - Frederico C. Ferreira
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Associate Laboratory, i4HB—Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
| | - Joaquim M. S. Cabral
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Associate Laboratory, i4HB—Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
| | - Carlos A. V. Rodrigues
- Department of Bioengineering, iBB—Institute for Bioengineering and Biosciences, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Associate Laboratory, i4HB—Institute for Health and Bioeconomy, Instituto Superior Técnico, Universidade de Lisboa, Av. Rovisco Pais, 1049-001 Lisboa, Portugal
- Correspondence:
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Martin R, Lei R, Zeng Y, Zhu J, Chang H, Ye H, Cui Z. Membrane Applications in Autologous Cell Therapy. MEMBRANES 2022; 12:1182. [PMID: 36557091 PMCID: PMC9788437 DOI: 10.3390/membranes12121182] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 11/03/2022] [Accepted: 11/07/2022] [Indexed: 06/17/2023]
Abstract
Stem cell and cell therapies, particularly autologous cell therapies, are becoming a common practice. However, in order for these technologies to achieve wide-scale clinical application, the prohibitively high cost associated with these therapies must be addressed through creative engineering. Membranes can be a disruptive technology to reshape the bioprocessing and manufacture of cellular products and significantly reduce the cost of autologous cell therapies. Examples of successful membrane applications include expansions of CAR-T cells, various human stem cells, and production of extracellular vesicles (EVs) using hollow fibre membrane bioreactors. Novel membranes with tailored functions and surface properties and novel membrane modules that can accommodate the changing needs for surface area and transport properties are to be developed to fulfil this key role.
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Affiliation(s)
- Risto Martin
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, UK
| | - Rui Lei
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, UK
| | - Yida Zeng
- Oxford Suzhou Centre for Advanced Research (OSCAR), University of Oxford, Suzhou 215123, China
| | - Jiachen Zhu
- Oxford Suzhou Centre for Advanced Research (OSCAR), University of Oxford, Suzhou 215123, China
| | - Hong Chang
- Oxford Suzhou Centre for Advanced Research (OSCAR), University of Oxford, Suzhou 215123, China
| | - Hua Ye
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, UK
- Oxford Suzhou Centre for Advanced Research (OSCAR), University of Oxford, Suzhou 215123, China
| | - Zhanfeng Cui
- Department of Engineering Science, Institute of Biomedical Engineering, University of Oxford, Oxford OX3 7DQ, UK
- Oxford Suzhou Centre for Advanced Research (OSCAR), University of Oxford, Suzhou 215123, China
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Allenby MC, Woodruff MA. Image analyses for engineering advanced tissue biomanufacturing processes. Biomaterials 2022; 284:121514. [DOI: 10.1016/j.biomaterials.2022.121514] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2021] [Revised: 04/01/2022] [Accepted: 04/04/2022] [Indexed: 11/02/2022]
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Kim MH, Kino-Oka M. Mechanobiological conceptual framework for assessing stem cell bioprocess effectiveness. Biotechnol Bioeng 2021; 118:4537-4549. [PMID: 34460101 DOI: 10.1002/bit.27929] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/24/2021] [Revised: 08/22/2021] [Accepted: 08/27/2021] [Indexed: 12/12/2022]
Abstract
Fully realizing the enormous potential of stem cells requires developing efficient bioprocesses and optimizations founded in mechanobiological considerations. Here, we emphasize the importance of mechanotransduction as one of the governing principles of stem cell bioprocesses, underscoring the need to further explore the behavioral mechanisms involved in sensing mechanical cues and coordinating transcriptional responses. We identify the sources of intrinsic, extrinsic, and external noise in bioprocesses requiring further study, and discuss the criteria and indicators that may be used to assess and predict cell-to-cell variability resulting from environmental fluctuations. Specifically, we propose a conceptual framework to explain the impact of mechanical forces within the cellular environment, identify key cell state determinants in bioprocesses, and discuss downstream implementation challenges.
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Affiliation(s)
- Mee-Hae Kim
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Japan
| | - Masahiro Kino-Oka
- Department of Biotechnology, Graduate School of Engineering, Osaka University, Suita, Japan
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Allenby MC, Okutsu N, Brailey K, Guasch J, Zhang Q, Panoskaltsis N, Mantalaris A. A spatiotemporal microenvironment model to improve design of a 3D bioreactor for red cell production. Tissue Eng Part A 2021; 28:38-53. [PMID: 34130508 DOI: 10.1089/ten.tea.2021.0028] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/10/2023] Open
Abstract
Cellular microenvironments provide stimuli including paracrine and autocrine growth factors and physico-chemical cues, which support efficient in vivo cell production unmatched by current in vitro biomanufacturing platforms. While three-dimensional (3D) culture systems aim to recapitulate niche architecture and function of the target tissue/organ, they are limited in accessing spatiotemporal information to evaluate and optimize in situ cell/tissue process development. Herein, a mathematical modelling framework is parameterized by single-cell phenotypic imaging and multiplexed biochemical assays to simulate the non-uniform tissue distribution of nutrients/metabolites and growth factors in cell niche environments. This model is applied to a bone marrow mimicry 3D perfusion bioreactor containing dense stromal and hematopoietic tissue with limited red blood cell (RBC) egress. The model characterized an imbalance between endogenous cytokine production and nutrient starvation within the microenvironmental niches, and recommended increased cell inoculum density and enhanced medium exchange, guiding the development of a miniaturized prototype bioreactor. The second-generation prototype improved the distribution of nutrients and growth factors and supported a 50-fold increase in RBC production efficiency. This image-informed bioprocess modelling framework leverages spatiotemporal niche information to enhance biochemical factor utilization and improve cell manufacturing in 3D systems.
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Affiliation(s)
- Mark Colin Allenby
- Queensland University of Technology, 1969, Institute of Health and Biomedical Innovation (IHBI), Kelvin Grove, Queensland, Australia.,Imperial College London, 4615, Department of Chemical Engineering, London, London, United Kingdom of Great Britain and Northern Ireland;
| | - Naoki Okutsu
- Imperial College London, 4615, Department of Chemical Engineering, London, London, United Kingdom of Great Britain and Northern Ireland;
| | - Kate Brailey
- Imperial College London, 4615, Department of Chemical Engineering, London, London, United Kingdom of Great Britain and Northern Ireland;
| | - Joana Guasch
- Imperial College London, 4615, Department of Chemical Engineering, London, London, United Kingdom of Great Britain and Northern Ireland;
| | - Qiming Zhang
- Imperial College London, 4615, Department of Chemical Engineering, London, London, United Kingdom of Great Britain and Northern Ireland;
| | - Nicki Panoskaltsis
- Emory University, 1371, Winship Cancer Institute, Department of Hematology & Medical Oncology, Atlanta, Georgia, United States.,Imperial College London, 4615, Department of Haematology, London, London, United Kingdom of Great Britain and Northern Ireland;
| | - Athanasios Mantalaris
- Georgia Institute of Technology, 1372, BME, Atlanta, Georgia, United States.,Imperial College London, 4615, Department of Chemical Engineering, London, London, United Kingdom of Great Britain and Northern Ireland;
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Xu Y, Chen C, Hellwarth PB, Bao X. Biomaterials for stem cell engineering and biomanufacturing. Bioact Mater 2019; 4:366-379. [PMID: 31872161 PMCID: PMC6909203 DOI: 10.1016/j.bioactmat.2019.11.002] [Citation(s) in RCA: 53] [Impact Index Per Article: 10.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2019] [Revised: 11/09/2019] [Accepted: 11/20/2019] [Indexed: 12/15/2022] Open
Abstract
Recent years have witnessed the expansion of tissue failures and diseases. The uprising of regenerative medicine converges the sight onto stem cell-biomaterial based therapy. Tissue engineering and regenerative medicine proposes the strategy of constructing spatially, mechanically, chemically and biologically designed biomaterials for stem cells to grow and differentiate. Therefore, this paper summarized the basic properties of embryonic stem cells (ESCs), induced pluripotent stem cells (iPSCs) and adult stem cells. The properties of frequently used biomaterials were also described in terms of natural and synthetic origins. Particularly, the combination of stem cells and biomaterials for tissue repair applications was reviewed in terms of nervous, cardiovascular, pancreatic, hematopoietic and musculoskeletal system. Finally, stem-cell-related biomanufacturing was envisioned and the novel biofabrication technologies were discussed, enlightening a promising route for the future advancement of large-scale stem cell-biomaterial based therapeutic manufacturing.
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Affiliation(s)
| | | | | | - Xiaoping Bao
- Davidson School of Chemical Engineering, Purdue University, West Lafayette, West Lafayette, IN, 47907, USA
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Olofsson S, Mehrian M, Calandra R, Geris L, Deisenroth MP, Misener R. Bayesian Multiobjective Optimisation With Mixed Analytical and Black-Box Functions: Application to Tissue Engineering. IEEE Trans Biomed Eng 2019; 66:727-739. [DOI: 10.1109/tbme.2018.2855404] [Citation(s) in RCA: 20] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
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Allenby MC, Panoskaltsis N, Tahlawi A, Dos Santos SB, Mantalaris A. Dynamic human erythropoiesis in a three-dimensional perfusion bone marrow biomimicry. Biomaterials 2019; 188:24-37. [DOI: 10.1016/j.biomaterials.2018.08.020] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2018] [Accepted: 08/06/2018] [Indexed: 12/21/2022]
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Allenby MC, Tahlawi A, Morais JCF, Li K, Panoskaltsis N, Mantalaris A. Ceramic Hollow Fibre Constructs for Continuous Perfusion and Cell Harvest from 3D Hematopoietic Organoids. Stem Cells Int 2018; 2018:6230214. [PMID: 29760729 PMCID: PMC5901824 DOI: 10.1155/2018/6230214] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2017] [Revised: 12/19/2017] [Accepted: 01/04/2018] [Indexed: 01/05/2023] Open
Abstract
Tissue vasculature efficiently distributes nutrients, removes metabolites, and possesses selective cellular permeability for tissue growth and function. Engineered tissue models have been limited by small volumes, low cell densities, and invasive cell extraction due to ineffective nutrient diffusion and cell-biomaterial attachment. Herein, we describe the fabrication and testing of ceramic hollow fibre membranes (HFs) able to separate red blood cells (RBCs) and mononuclear cells (MNCs) and be incorporated into 3D tissue models to improve nutrient and metabolite exchange. These HFs filtered RBCs from human umbilical cord blood (CB) suspensions of 20% RBCs to produce 90% RBC filtrate suspensions. When incorporated within 5 mL of 3D collagen-coated polyurethane porous scaffold, medium-perfused HFs maintained nontoxic glucose, lactate, pH levels, and higher cell densities over 21 days of culture in comparison to nonperfused 0.125 mL scaffolds. This hollow fibre bioreactor (HFBR) required a smaller per-cell medium requirement and operated at cell densities > 10-fold higher than current 2D methods whilst allowing for continuous cell harvest through HFs. Herein, we propose HFs to improve 3D cell culture nutrient and metabolite diffusion, increase culture volume and cell density, and continuously harvest products for translational cell therapy biomanufacturing protocols.
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Affiliation(s)
- Mark C. Allenby
- Biological Systems Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London, UK
| | - Asma Tahlawi
- Biological Systems Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London, UK
| | - José C. F. Morais
- Biological Systems Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London, UK
| | - Kang Li
- Transport & Separation Laboratory, Department of Chemical Engineering, Imperial College London, London, UK
| | - Nicki Panoskaltsis
- Biological Systems Engineering Laboratory, Department of Hematology, Imperial College London, London, UK
| | - Athanasios Mantalaris
- Biological Systems Engineering Laboratory, Department of Chemical Engineering, Imperial College London, London, UK
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