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Singla P, Broughton T, Sullivan MV, Garg S, Berlinguer-Palmini R, Gupta P, Smith KJ, Gardner B, Canfarotta F, Turner NW, Velliou E, Amarnath S, Peeters M. Double Imprinted Nanoparticles for Sequential Membrane-to-Nuclear Drug Delivery. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024:e2309976. [PMID: 38973256 DOI: 10.1002/advs.202309976] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/15/2024] [Revised: 06/14/2024] [Indexed: 07/09/2024]
Abstract
Efficient and site-specific delivery of therapeutics drugs remains a critical challenge in cancer treatment. Traditional drug nanocarriers such as antibody-drug conjugates are not generally accessible due to their high cost and can lead to serious side effects including life-threatening allergic reactions. Here, these problems are overcome via the engineering of supramolecular agents that are manufactured with an innovative double imprinting approach. The developed molecularly imprinted nanoparticles (nanoMIPs) are targeted toward a linear epitope of estrogen receptor alfa (ERα) and loaded with the chemotherapeutic drug doxorubicin. These nanoMIPs are cost-effective and rival the affinity of commercial antibodies for ERα. Upon specific binding of the materials to ERα, which is overexpressed in most breast cancers (BCs), nuclear drug delivery is achieved via receptor-mediated endocytosis. Consequentially, significantly enhanced cytotoxicity is elicited in BC cell lines overexpressing ERα, paving the way for precision treatment of BC. Proof-of-concept for the clinical use of the nanoMIPs is provided by evaluating their drug efficacy in sophisticated three-dimensional (3D) cancer models, which capture the complexity of the tumor microenvironment in vivo without requiring animal models. Thus, these findings highlight the potential of nanoMIPs as a promising class of novel drug compounds for use in cancer treatment.
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Affiliation(s)
- Pankaj Singla
- Department of Chemical Engineering, The University of Manchester, Engineering building A, East Booth Street, Oxford Road, Manchester, M13 9PL, UK
- School of Engineering, Newcastle University, Merz Court, Claremont Road, Newcastle Upon Tyne, NE1 7RU, UK
- Center for Cancer Research, NU Cancer, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
| | - Thomas Broughton
- Center for Cancer Research, NU Cancer, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
- Immune Regulation Laboratory, NU Biosciences, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
- NIHR, Biomedical Research Centre, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
| | - Mark V Sullivan
- Department of Chemistry, University of Sheffield, Dainton Building, Sheffield, S3 7HF, UK
| | - Saweta Garg
- Department of Chemical Engineering, The University of Manchester, Engineering building A, East Booth Street, Oxford Road, Manchester, M13 9PL, UK
- School of Engineering, Newcastle University, Merz Court, Claremont Road, Newcastle Upon Tyne, NE1 7RU, UK
- Center for Cancer Research, NU Cancer, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
| | - Rolando Berlinguer-Palmini
- The Bio-Imaging Unit, Medical School, Newcastle University, William Leech Building, Newcastle Upon Tyne, NE2 4HH, UK
| | - Priyanka Gupta
- Centre for 3D models of Health and Disease, Division of Surgery and Interventional Science, University College London, London, W1W 7TY, UK
| | - Katie J Smith
- Center for Cancer Research, NU Cancer, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
- Immune Regulation Laboratory, NU Biosciences, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
| | - Ben Gardner
- Center for Cancer Research, NU Cancer, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
- Immune Regulation Laboratory, NU Biosciences, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
| | - Francesco Canfarotta
- MIP Discovery, The Exchange Building, Colworth Park, Sharnbrook, Bedford, MK44 1LQ, UK
| | - Nicholas W Turner
- Department of Chemistry, University of Sheffield, Dainton Building, Sheffield, S3 7HF, UK
| | - Eirini Velliou
- Centre for 3D models of Health and Disease, Division of Surgery and Interventional Science, University College London, London, W1W 7TY, UK
| | - Shoba Amarnath
- Center for Cancer Research, NU Cancer, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
- Immune Regulation Laboratory, NU Biosciences, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
- NIHR, Biomedical Research Centre, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
| | - Marloes Peeters
- Department of Chemical Engineering, The University of Manchester, Engineering building A, East Booth Street, Oxford Road, Manchester, M13 9PL, UK
- School of Engineering, Newcastle University, Merz Court, Claremont Road, Newcastle Upon Tyne, NE1 7RU, UK
- Center for Cancer Research, NU Cancer, Faculty of Medical Sciences, Newcastle University, Newcastle Upon Tyne, NE2 4HH, UK
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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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Multielectrode biosensor chip for spatial resolution screening of 3D cell models based on microcavity arrays. Biosens Bioelectron 2022; 202:114010. [DOI: 10.1016/j.bios.2022.114010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 12/24/2021] [Accepted: 01/14/2022] [Indexed: 11/18/2022]
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Gupta P, Miller A, Olayanju A, Madhuri TK, Velliou E. A Systematic Comparative Assessment of the Response of Ovarian Cancer Cells to the Chemotherapeutic Cisplatin in 3D Models of Various Structural and Biochemical Configurations-Does One Model Type Fit All? Cancers (Basel) 2022; 14:1274. [PMID: 35267582 PMCID: PMC8909317 DOI: 10.3390/cancers14051274] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/13/2022] [Revised: 02/18/2022] [Accepted: 02/25/2022] [Indexed: 02/07/2023] Open
Abstract
Epithelial Ovarian Cancer (EOC) is a silent, deadly and aggressive gynaecological disease with a relatively low survival rate. This has been attributed, to some extent, to EOC's high recurrence rate and resistance to currently available platinum-based chemotherapeutic treatment methods. Multiple groups have studied and reported the effect of chemotherapeutic agents on various EOC 3D in vitro models. However, there are very few studies wherein a direct comparative study has been carried out between the different in vitro 3D models of EOC and the effect of chemotherapy within them. Herein, we report, for the first time, a direct comprehensive systematic comparative study of three different 3D in vitro platforms, namely (i) spheroids, (ii) synthetic PeptiGels/hydrogels of various chemical configurations and (iii) polymeric scaffolds with coatings of various extracellular matrices (ECMs) on the cell growth and response to the chemotherapeutic (Cisplatin) for ovary-derived (A2780) and metastatic (SK-OV-3) EOC cell lines. We report that all three 3D models are able to support the growth of EOC, but for different time periods (varying from 7 days to 4 weeks). We have also reported that chemoresistance to Cisplatin, in vitro, observed especially for metastatic EOC cells, is platform-dependent, in terms of both the structural and biochemical composition of the model/platform. Our study highlights the importance of selecting an appropriate 3D platform for in vitro tumour model development. We have demonstrated that the selection of the best platform for producing in vitro tumour models depends on the cancer/cell type, the experimental time period and the application for which the model is intended.
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Affiliation(s)
- Priyanka Gupta
- Centre for 3D Models of Health and Disease, Division of Surgery and Interventional Science, University College London, London W1W 7TY, UK;
- Bioprocess and Biochemical Engineering Group (BioProChem), Department of Chemical and Process Engineering, University of Surrey, Surrey GU2 7XH, UK
| | - Aline Miller
- Manchester BIOGEL, 19F4, Mereside, Alderley Park, Alderley Edge, Chesire SK10 4TG, UK; (A.M.); (A.O.)
| | - Adedamola Olayanju
- Manchester BIOGEL, 19F4, Mereside, Alderley Park, Alderley Edge, Chesire SK10 4TG, UK; (A.M.); (A.O.)
| | - Thumuluru Kavitha Madhuri
- Department of Gynaecological Oncology Royal Surrey NHS Foundation Trust, Egerton Road, Guildford GU2 7XX, UK;
- Honorary Senior Lecturer in Cancer Research, School of Applied Sciences, University of Brighton, Huxley Building, Lewes Road, Brighton BN2 4GJ, UK
| | - Eirini Velliou
- Centre for 3D Models of Health and Disease, Division of Surgery and Interventional Science, University College London, London W1W 7TY, UK;
- Bioprocess and Biochemical Engineering Group (BioProChem), Department of Chemical and Process Engineering, University of Surrey, Surrey GU2 7XH, UK
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5
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Rad H, Röhl J, Stylianou N, Allenby M, Bazaz S, Warkiani ME, Guimaraes FSF, Clifton VL, Kulasinghe A. The Effects of COVID-19 on the Placenta During Pregnancy. Front Immunol 2021; 12:743022. [PMID: 34603330 PMCID: PMC8479199 DOI: 10.3389/fimmu.2021.743022] [Citation(s) in RCA: 41] [Impact Index Per Article: 13.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2021] [Accepted: 08/26/2021] [Indexed: 12/21/2022] Open
Abstract
Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global pandemic. The virus primarily affects the lungs where it induces respiratory distress syndrome ranging from mild to acute, however, there is a growing body of evidence supporting its negative effects on other system organs that also carry the ACE2 receptor, such as the placenta. The majority of newborns delivered from SARS-CoV-2 positive mothers test negative following delivery, suggesting that there are protective mechanisms within the placenta. There appears to be a higher incidence of pregnancy-related complications in SARS-CoV-2 positive mothers, such as miscarriage, restricted fetal growth, or still-birth. In this review, we discuss the pathobiology of COVID-19 maternal infection and the potential adverse effects associated with viral infection, and the possibility of transplacental transmission.
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Affiliation(s)
- Habib Sadeghi Rad
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Joan Röhl
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Nataly Stylianou
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
| | - Mark C. Allenby
- School of Chemical Engineering, University of Queensland, St Lucia, QLD, Australia
- Centre for Biomedical Technologies, School of Mechanical, Medical and Process Engineering, Queensland University of Technology, Brisbane, QLD, Australia
| | - Sajad Razavi Bazaz
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, Australia
| | - Majid E. Warkiani
- School of Biomedical Engineering, University of Technology Sydney, Sydney, NSW, Australia
| | | | - Vicki L. Clifton
- Mater Research Institute, University of Queensland, Brisbane, QLD, Australia
| | - Arutha Kulasinghe
- School of Biomedical Sciences, Queensland University of Technology, Brisbane, QLD, Australia
- The University of Queensland Diamantina Institute (UQDI), Brisbane, QLD, Australia
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6
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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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7
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Harley W, Yoshie H, Gentile C. Three-Dimensional Bioprinting for Tissue Engineering and Regenerative Medicine in Down Under: 2020 Australian Workshop Summary. ASAIO J 2021; 67:363-369. [PMID: 33741790 DOI: 10.1097/mat.0000000000001389] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Affiliation(s)
- William Harley
- From the Collins BioMicrosystems Laboratory (CBML), Department of Biomedical Engineering, University of Melbourne, Melbourne, Australia
| | | | - Carmine Gentile
- School of Biomedical Engineering/FEIT, University of Technology Sydney, Sydney, Australia
- Sydney Medical School/Faculty of Medicine and Health, University of Sydney, Sydney, Australia
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8
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Gupta P, Pérez-Mancera PA, Kocher H, Nisbet A, Schettino G, Velliou EG. A Novel Scaffold-Based Hybrid Multicellular Model for Pancreatic Ductal Adenocarcinoma-Toward a Better Mimicry of the in vivo Tumor Microenvironment. Front Bioeng Biotechnol 2020; 8:290. [PMID: 32391339 PMCID: PMC7193232 DOI: 10.3389/fbioe.2020.00290] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2020] [Accepted: 03/19/2020] [Indexed: 12/11/2022] Open
Abstract
With a very low survival rate, pancreatic ductal adenocarcinoma (PDAC) is a deadly disease. This has been primarily attributed to (i) its late diagnosis and (ii) its high resistance to current treatment methods. The latter specifically requires the development of robust, realistic in vitro models of PDAC, capable of accurately mimicking the in vivo tumor niche. Advancements in the field of tissue engineering (TE) have helped the development of such models for PDAC. Herein, we report for the first time a novel hybrid, polyurethane (PU) scaffold-based, long-term, multicellular (tri-culture) model of pancreatic cancer involving cancer cells, endothelial cells, and stellate cells. Recognizing the importance of ECM proteins for optimal growth of different cell types, the model consists of two different zones/compartments: an inner tumor compartment consisting of cancer cells [fibronectin (FN)-coated] and a surrounding stromal compartment consisting of stellate and endothelial cells [collagen I (COL)-coated]. Our developed novel hybrid, tri-culture model supports the proliferation of all different cell types for 35 days (5 weeks), which is the longest reported timeframe in vitro. Furthermore, the hybrid model showed extensive COL production by the cells, mimicking desmoplasia, one of PDAC's hallmark features. Fibril alignment of the stellate cells was observed, which attested to their activated state. All three cell types expressed various cell-specific markers within the scaffolds, throughout the culture period and showed cellular migration between the two zones of the hybrid scaffold. Our novel model has great potential as a low-cost tool for in vitro studies of PDAC, as well as for treatment screening.
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Affiliation(s)
- Priyanka Gupta
- Bioprocess and Biochemical Engineering Group (BioProChem), Department of Chemical and Process Engineering, University of Surrey, Guildford, United Kingdom
| | - Pedro A. Pérez-Mancera
- Department of Molecular and Clinical Cancer Medicine, University of Liverpool, Liverpool, United Kingdom
| | - Hemant Kocher
- Centre for Tumour Biology and Experimental Cancer Medicine, Barts Cancer Institute, Queen Mary University of London, London, United Kingdom
| | - Andrew Nisbet
- Department of Medical Physics and Biomedical Engineering, University College London, London, United Kingdom
| | - Giuseppe Schettino
- Department of Physics, University of Surrey, Guildford, United Kingdom
- Medical Radiation Science Group, The National Physical Laboratory, Teddington, United Kingdom
| | - Eirini G. Velliou
- Bioprocess and Biochemical Engineering Group (BioProChem), Department of Chemical and Process Engineering, University of Surrey, Guildford, United Kingdom
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9
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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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10
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Gupta P, Totti S, Pérez-Mancera PA, Dyke E, Nisbet A, Schettino G, Webb R, Velliou EG. Chemoradiotherapy screening in a novel biomimetic polymer based pancreatic cancer model. RSC Adv 2019; 9:41649-41663. [PMID: 35541584 PMCID: PMC9076463 DOI: 10.1039/c9ra09123h] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2019] [Accepted: 12/09/2019] [Indexed: 11/21/2022] Open
Abstract
Pancreatic Ductal Adenocarcinoma (PDAC) is a deadly and aggressive disease with a very low survival rate. This is partly due to the resistance of the disease to currently available treatment options. Herein, we report for the first time the use of a novel polyurethane scaffold based PDAC model for screening the short and relatively long term (1 and 17 days post-treatment) responses of chemotherapy, radiotherapy and their combination. We show a dose dependent cell viability reduction and apoptosis induction for both chemotherapy and radiotherapy. Furthermore, we observe a change in the impact of the treatment depending on the time-frame, especially for radiation for which the PDAC scaffolds showed resistance after 1 day but responded more 17 days post-treatment. This is the first study to report a viable PDAC culture in a scaffold for more than 2 months and the first to perform long-term (17 days) post-treatment observations in vitro. This is particularly important as a longer time-frame is much closer to animal studies and to patient treatment regimes, highlighting that our scaffold system has great potential to be used as an animal free model for screening of PDAC. Poly-urethane scaffold based 3D pancreatic cancer model enables realistic long term chemotherapy and radiotherapy screening. This model can be used for personalised treatment screening.![]()
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Affiliation(s)
- Priyanka Gupta
- Bioprocess and Biochemical Engineering Group (BioProChem)
- Department of Chemical and Process Engineering
- University of Surrey
- Guildford
- UK
| | - Stella Totti
- Bioprocess and Biochemical Engineering Group (BioProChem)
- Department of Chemical and Process Engineering
- University of Surrey
- Guildford
- UK
| | | | - Eleanor Dyke
- Department of Medical Physics
- The Royal Surrey County Hospital
- NHS Foundation Trust
- Guildford
- UK
| | - Andrew Nisbet
- Department of Medical Physics
- The Royal Surrey County Hospital
- NHS Foundation Trust
- Guildford
- UK
| | - Giuseppe Schettino
- Department of Physics
- University of Surrey
- Guildford GU2 7XH
- UK
- Medical Radiation Science Group
| | - Roger Webb
- The Ion Beam Centre
- University of Surrey
- Guildford
- UK
| | - Eirini G. Velliou
- Bioprocess and Biochemical Engineering Group (BioProChem)
- Department of Chemical and Process Engineering
- University of Surrey
- Guildford
- UK
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11
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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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12
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Totti S, Allenby MC, Dos Santos SB, Mantalaris A, Velliou EG. A 3D bioinspired highly porous polymeric scaffolding system for in vitro simulation of pancreatic ductal adenocarcinoma. RSC Adv 2018; 8:20928-20940. [PMID: 35542351 PMCID: PMC9080900 DOI: 10.1039/c8ra02633e] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2018] [Accepted: 05/20/2018] [Indexed: 12/21/2022] Open
Abstract
Pancreatic ductal adenocarcinoma is an aggressive disease with an extremely low survival rate. This is due to the (i) poor prognosis and (ii) high resistance of the disease to current treatment options. The latter is partly due to the very complex and dense tissue/tumour microenvironment of pancreatic cancer, which contributes to the disease's progression and the inhibition of apoptotic pathways. Over the last years, advances in tissue engineering and the development of three-dimensional (3D) culture systems have shed more light into cancer research by enabling a more realistic recapitulation of the niches and structure of the tumour microenvironment. Herein, for the first time, 3D porous polyurethane scaffolds were fabricated and coated with fibronectin to mimic features of the structure and extracellular matrix present in the pancreatic cancer tumour microenvironment. The developed 3D scaffold could support the proliferation of the pancreatic tumour cells, which was enhanced with the presence of fibronectin, for a month, which is a significantly prolonged in vitro culturing duration. Furthermore, in situ imaging of cellular and biomarker distribution showed the formation of dense cellular masses, the production of collagen-I by the cells and the formation of environmental stress gradients (e.g. HIF-1α) with similar heterogeneity trends to the ones reported in in vivo studies. The results obtained in this study suggest that this bioinspired porous polyurethane based scaffold has great potential for in vitro high throughput studies of pancreatic cancer including drug and treatment screening.
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Affiliation(s)
- Stella Totti
- Bioprocess and Biochemical Engineering Group (BioProChem), Department of Chemical and Process Engineering, University of Surrey Guildford GU2 7XH UK 0044-(0)-1483686577
| | - Mark C Allenby
- Biological Systems Engineering Laboratory (BSEL), Department of Chemical Engineering, Imperial College London London SW7 2AZ UK
| | - Susana Brito Dos Santos
- Biological Systems Engineering Laboratory (BSEL), Department of Chemical Engineering, Imperial College London London SW7 2AZ UK
| | - Athanasios Mantalaris
- Biological Systems Engineering Laboratory (BSEL), Department of Chemical Engineering, Imperial College London London SW7 2AZ UK
| | - Eirini G Velliou
- Bioprocess and Biochemical Engineering Group (BioProChem), Department of Chemical and Process Engineering, University of Surrey Guildford GU2 7XH UK 0044-(0)-1483686577
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13
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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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