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Forrestal DP, Allenby MC, Simpson B, Klein TJ, Woodruff MA. Personalized Volumetric Tissue Generation by Enhancing Multiscale Mass Transport through 3D Printed Scaffolds in Perfused Bioreactors. Adv Healthc Mater 2022; 11:e2200454. [PMID: 35765715 DOI: 10.1002/adhm.202200454] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2022] [Revised: 06/06/2022] [Indexed: 01/28/2023]
Abstract
Engineered tissues provide an alternative to graft material, circumventing the use of donor tissue such as autografts or allografts and non-physiological synthetic implants. However, their lack of vasculature limits the growth of volumetric tissue more than several millimeters thick which limits their success post-implantation. Perfused bioreactors enhance nutrient mass transport inside lab-grown tissue but remain poorly customizable to support the culture of personalized implants. Here, a multiscale framework of computational fluid dynamics (CFD), additive manufacturing, and a perfusion bioreactor system are presented to engineer personalized volumetric tissue in the laboratory. First, microscale 3D printed scaffold pore geometries are designed and 3D printed to characterize media perfusion through CFD and experimental fluid testing rigs. Then, perfusion bioreactors are custom-designed to combine 3D printed scaffolds with flow-focusing inserts in patient-specific shapes as simulated using macroscale CFD. Finally, these computationally optimized bioreactor-scaffold assemblies are additively manufactured and cultured with pre-osteoblast cells for 7, 20, and 24 days to achieve tissue growth in the shape of human calcaneus bones of 13 mL volume and 1 cm thickness. This framework enables an intelligent model-based design of 3D printed scaffolds and perfusion bioreactors which enhances nutrient transport for long-term volumetric tissue growth in personalized implant shapes. The novel methods described here are readily applicable for use with different cell types, biomaterials, and scaffold microstructures to research therapeutic solutions for a wide range of tissues.
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Affiliation(s)
- David P Forrestal
- Centre for Biomedical Technologies, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Queensland, 4059, Australia.,Herston Biofabrication Institute, Metro North Hospital and Health Service, 7 Butterfield St, Herston, Queensland, 4029, Australia.,School of Mechanical and Mining Engineering, The University of Queensland, Staff House Rd, St Lucia, Queensland, 4072, Australia
| | - Mark C Allenby
- Centre for Biomedical Technologies, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Queensland, 4059, Australia.,School of Chemical Engineering, University of Queensland, Staff House Rd, St Lucia, Queensland, 4072, Australia
| | - Benjamin Simpson
- School of Science and Technology, Nottingham Trent University, Clifton Campus Rd, Nottingham, NG11 8NF, UK
| | - Travis J Klein
- Centre for Biomedical Technologies, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Queensland, 4059, Australia
| | - Maria A Woodruff
- Centre for Biomedical Technologies, Queensland University of Technology, 60 Musk Avenue, Kelvin Grove, Queensland, 4059, Australia
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2
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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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3
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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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Mehrian M, Lambrechts T, Papantoniou I, Geris L. Computational Modeling of Human Mesenchymal Stromal Cell Proliferation and Extra-Cellular Matrix Production in 3D Porous Scaffolds in a Perfusion Bioreactor: The Effect of Growth Factors. Front Bioeng Biotechnol 2020; 8:376. [PMID: 32411692 PMCID: PMC7201129 DOI: 10.3389/fbioe.2020.00376] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2019] [Accepted: 04/06/2020] [Indexed: 01/20/2023] Open
Abstract
Stem cell expansion on 3D porous scaffolds cultured in bioreactor systems has been shown to be beneficial for maintenance of the original cell functionality in tissue engineering strategies (TE). However, the production of extracellular matrix (ECM) makes harvesting the progenitor cell population from 3D scaffolds a challenge. Medium composition plays a role in stimulating cell proliferation over extracellular matrix (ECM) production. In this regard, a computational model describing tissue growth inside 3D scaffolds can be a great tool in designing optimal experimental conditions. In this study, a computational model describing cell and ECM growth in a perfusion bioreactor is developed, including a description of the effect of a (generic) growth factor on the biological processes taking place inside the 3D scaffold. In the model, the speed of cell and ECM growth depends on the flow-induced shear stress, curvature and the concentrations of oxygen, glucose, lactate, and growth factor. The effect of the simulated growth factor is to differentially enhance cell proliferation over ECM production. After model calibration with historic in-house data, a multi-objective optimization procedure is executed aiming to minimize the total experimental cost whilst maximizing cell growth during culture. The obtained results indicate there are multiple optimum points for the medium refreshment regime and the initial growth factor concentration where a trade-off is made between the final amount of cells and the culture cost. Finally, the model is applied to experiments reported in the literature studying the effects of perfusion-based cell culture and/or growth factor supplementation on cell expansion. The qualitative similarities between the simulation and experimental results, even in the absence of proper model calibration, reinforces the generic character of the proposed modeling framework. The model proposed in this study can contribute to the cost efficient production of cell-based TE products, ultimately contributing to their affordability and accessibility.
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Affiliation(s)
- Mohammad Mehrian
- Biomechanics Research Unit, GIGA In silico Medicine, University of Liège, Liège, Belgium.,Prometheus, The Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium
| | - Toon Lambrechts
- Prometheus, The Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium.,M3-BIORES, KU Leuven, Leuven, Belgium
| | - Ioannis Papantoniou
- Prometheus, The Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium.,Skeletal Biology and Engineering Research Center, KU Leuven, Leuven, Belgium.,Institute of Chemical Engineering Sciences (ICEHT), Foundation for Research and Technology - Hellas (FORTH), Patras, Greece
| | - Liesbet Geris
- Biomechanics Research Unit, GIGA In silico Medicine, University of Liège, Liège, Belgium.,Prometheus, The Division of Skeletal Tissue Engineering, KU Leuven, Leuven, Belgium.,Biomechanics Section, KU Leuven, Leuven, Belgium
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5
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Slow freezing process design for human induced pluripotent stem cells by modeling intracontainer variation. Comput Chem Eng 2020. [DOI: 10.1016/j.compchemeng.2019.106597] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/21/2022]
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6
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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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7
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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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Misener R, Allenby MC, Fuentes-Garí M, Gupta K, Wiggins T, Panoskaltsis N, Pistikopoulos EN, Mantalaris A. Stem cell biomanufacturing under uncertainty: A case study in optimizing red blood cell production. AIChE J 2018; 64:3011-3022. [PMID: 30166646 PMCID: PMC6108044 DOI: 10.1002/aic.16042] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2017] [Revised: 11/08/2017] [Indexed: 12/12/2022]
Abstract
As breakthrough cellular therapy discoveries are translated into reliable, commercializable applications, effective stem cell biomanufacturing requires systematically developing and optimizing bioprocess design and operation. This article proposes a rigorous computational framework for stem cell biomanufacturing under uncertainty. Our mathematical tool kit incorporates: high‐fidelity modeling, single variate and multivariate sensitivity analysis, global topological superstructure optimization, and robust optimization. The advantages of the proposed bioprocess optimization framework using, as a case study, a dual hollow fiber bioreactor producing red blood cells from progenitor cells were quantitatively demonstrated. The optimization phase reduces the cost by a factor of 4, and the price of insuring process performance against uncertainty is approximately 15% over the nominal optimal solution. Mathematical modeling and optimization can guide decision making; the possible commercial impact of this cellular therapy using the disruptive technology paradigm was quantitatively evaluated. © 2017 American Institute of Chemical Engineers AIChE J, 64: 3011–3022, 2018
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Affiliation(s)
- Ruth Misener
- Dept. of Computing; Imperial College London; South Kensington London SW7 2AZ U.K
| | - Mark C. Allenby
- Dept. of Haematology; Imperial College London; Harrow London HA1 3UJ U. K
| | - María Fuentes-Garí
- Dept. of Haematology; Imperial College London; Harrow London HA1 3UJ U. K
| | - Karan Gupta
- Dept. of Haematology; Imperial College London; Harrow London HA1 3UJ U. K
| | - Thomas Wiggins
- Dept. of Haematology; Imperial College London; Harrow London HA1 3UJ U. K
| | - Nicki Panoskaltsis
- Artie McFerrin Dept. of Chemical Engineering; Texas A&M University; College Station TX 77843
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Yi T, Huang S, Liu G, Li T, Kang Y, Luo Y, Wu J. Bioreactor Synergy with 3D Scaffolds: New Era for Stem Cells Culture. ACS APPLIED BIO MATERIALS 2018; 1:193-209. [DOI: 10.1021/acsabm.8b00057] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/22/2022]
Affiliation(s)
- Tianqi Yi
- Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Biomedical Engineering, , Sun Yat-sen University, Guangzhou 510006, China
| | - Shaoxiong Huang
- Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Biomedical Engineering, , Sun Yat-sen University, Guangzhou 510006, China
| | - Guiting Liu
- Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Biomedical Engineering, , Sun Yat-sen University, Guangzhou 510006, China
| | - Tiancheng Li
- Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Biomedical Engineering, , Sun Yat-sen University, Guangzhou 510006, China
| | - Yang Kang
- Key Laboratory of Mountain Ecological Restoration and Bioresource Utilization, Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, China
| | - Yuxi Luo
- Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Biomedical Engineering, , Sun Yat-sen University, Guangzhou 510006, China
| | - Jun Wu
- Key Laboratory of Sensing Technology and Biomedical Instrument of Guangdong Province, School of Biomedical Engineering, , Sun Yat-sen University, Guangzhou 510006, China
- Key Laboratory of Polymer Composites and Functional Materials of Ministry of Education, , Sun Yat-sen University, Guangzhou 510006, China
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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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Mehrian M, Guyot Y, Papantoniou I, Olofsson S, Sonnaert M, Misener R, Geris L. Maximizing neotissue growth kinetics in a perfusion bioreactor: An in silico strategy using model reduction and Bayesian optimization. Biotechnol Bioeng 2017; 115:617-629. [DOI: 10.1002/bit.26500] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2017] [Revised: 11/14/2017] [Accepted: 11/20/2017] [Indexed: 12/14/2022]
Affiliation(s)
- Mohammad Mehrian
- Biomechanics Research Unit; GIGA In Silico Medicine; University of Liège; Liège Belgium
- Prometheus; The Division of Skeletal Tissue Engineering; KU Leuven; Leuven Belgium
| | - Yann Guyot
- Biomechanics Research Unit; GIGA In Silico Medicine; University of Liège; Liège Belgium
- Prometheus; The Division of Skeletal Tissue Engineering; KU Leuven; Leuven Belgium
| | - Ioannis Papantoniou
- Prometheus; The Division of Skeletal Tissue Engineering; KU Leuven; Leuven Belgium
- Skeletal Biology and Engineering Research Center; KU Leuven; Leuven Belgium
| | - Simon Olofsson
- Department of Computing; Imperial College London; London United Kingdom
| | - Maarten Sonnaert
- Prometheus; The Division of Skeletal Tissue Engineering; KU Leuven; Leuven Belgium
- Department of Metallurgy and Materials Engineering; KU Leuven; Leuven Belgium
| | - Ruth Misener
- Department of Computing; Imperial College London; London United Kingdom
| | - Liesbet Geris
- Biomechanics Research Unit; GIGA In Silico Medicine; University of Liège; Liège Belgium
- Prometheus; The Division of Skeletal Tissue Engineering; KU Leuven; Leuven Belgium
- Biomechanics Section; KU Leuven; Leuven Belgium
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12
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An immortalized adult human erythroid line facilitates sustainable and scalable generation of functional red cells. Nat Commun 2017; 8:14750. [PMID: 28290447 PMCID: PMC5355882 DOI: 10.1038/ncomms14750] [Citation(s) in RCA: 121] [Impact Index Per Article: 17.3] [Reference Citation Analysis] [Abstract] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2016] [Accepted: 01/26/2017] [Indexed: 02/06/2023] Open
Abstract
With increasing worldwide demand for safe blood, there is much interest in generating red blood cells in vitro as an alternative clinical product. However, available methods for in vitro generation of red cells from adult and cord blood progenitors do not yet provide a sustainable supply, and current systems using pluripotent stem cells as progenitors do not generate viable red cells. We have taken an alternative approach, immortalizing early adult erythroblasts generating a stable line, which provides a continuous supply of red cells. The immortalized cells differentiate efficiently into mature, functional reticulocytes that can be isolated by filtration. Extensive characterization has not revealed any differences between these reticulocytes and in vitro-cultured adult reticulocytes functionally or at the molecular level, and importantly no aberrant protein expression. We demonstrate a feasible approach to the manufacture of red cells for clinical use from in vitro culture. The generation of a sustainable supply of erythroid progenitors is essential for the reliable production of an in vitro derived red blood cell clinical product. Here the authors immortalize early human erythroblasts to generate the first cell line capable of differentiation into functional adult reticulocytes.
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Geris L, Guyot Y, Schrooten J, Papantoniou I. In silico regenerative medicine: how computational tools allow regulatory and financial challenges to be addressed in a volatile market. Interface Focus 2016; 6:20150105. [PMID: 27051516 PMCID: PMC4759755 DOI: 10.1098/rsfs.2015.0105] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022] Open
Abstract
The cell therapy market is a highly volatile one, due to the use of disruptive technologies, the current economic situation and the small size of the market. In such a market, companies as well as academic research institutes are in need of tools to advance their understanding and, at the same time, reduce their R&D costs, increase product quality and productivity, and reduce the time to market. An additional difficulty is the regulatory path that needs to be followed, which is challenging in the case of cell-based therapeutic products and should rely on the implementation of quality by design (QbD) principles. In silico modelling is a tool that allows the above-mentioned challenges to be addressed in the field of regenerative medicine. This review discusses such in silico models and focuses more specifically on the bioprocess. Three (clusters of) examples related to this subject are discussed. The first example comes from the pharmaceutical engineering field where QbD principles and their implementation through the use of in silico models are both a regulatory and economic necessity. The second example is related to the production of red blood cells. The described in silico model is mainly used to investigate the manufacturing process of the cell-therapeutic product, and pays special attention to the economic viability of the process. Finally, we describe the set-up of a model capturing essential events in the development of a tissue-engineered combination product in the context of bone tissue engineering. For each of the examples, a short introduction to some economic aspects is given, followed by a description of the in silico tool or tools that have been developed to allow the implementation of QbD principles and optimal design.
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Affiliation(s)
- L Geris
- Prometheus, Division of Skeletal Tissue Engineering, KU Leuven, Onderwijs en Navorsing 1 (+8), Herestraat 49-PB813, Leuven 3000, Belgium; Biomechanics Research Unit, Université de Liège, Chemin des Chevreuils 1 - BAT 52/3, Liège 4000, Belgium; Department of Mechanical Engineering, Biomechanics Section, KU Leuven, Celestijnenlaan 300C-PB 2419, Leuven 3001, Belgium
| | - Y Guyot
- Prometheus, Division of Skeletal Tissue Engineering, KU Leuven, Onderwijs en Navorsing 1 (+8), Herestraat 49-PB813, Leuven 3000, Belgium; Biomechanics Research Unit, Université de Liège, Chemin des Chevreuils 1 - BAT 52/3, Liège 4000, Belgium
| | | | - I Papantoniou
- Prometheus, Division of Skeletal Tissue Engineering, KU Leuven, Onderwijs en Navorsing 1 (+8), Herestraat 49-PB813, Leuven 3000, Belgium; Skeletal Biology and Engineering Research Center, KU Leuven, Onderwijs en Navorsing 1 (+8), Herestraat 49-PB813, Leuven 3000, Belgium
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14
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Steimel J, Engell S. Conceptual design and optimization of chemical processes under uncertainty by two-stage programming. Comput Chem Eng 2015. [DOI: 10.1016/j.compchemeng.2015.05.016] [Citation(s) in RCA: 24] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022]
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15
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A systematic framework for the design, simulation and optimization of personalized healthcare: Making and healing blood. Comput Chem Eng 2015. [DOI: 10.1016/j.compchemeng.2015.03.008] [Citation(s) in RCA: 19] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/05/2023]
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