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Kim M, Panagiotakopoulou M, Chen C, Ruiz SB, Ganesh K, Tammela T, Heller DA. Micro-engineering and nano-engineering approaches to investigate tumour ecosystems. Nat Rev Cancer 2023; 23:581-599. [PMID: 37353679 PMCID: PMC10528361 DOI: 10.1038/s41568-023-00593-3] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/25/2023] [Indexed: 06/25/2023]
Abstract
The interactions among tumour cells, the tumour microenvironment (TME) and non-tumour tissues are of interest to many cancer researchers. Micro-engineering approaches and nanotechnologies are under extensive exploration for modelling these interactions and measuring them in situ and in vivo to investigate therapeutic vulnerabilities in cancer and extend a systemic view of tumour ecosystems. Here we highlight the greatest opportunities for improving the understanding of tumour ecosystems using microfluidic devices, bioprinting or organ-on-a-chip approaches. We also discuss the potential of nanosensors that can transmit information from within the TME or elsewhere in the body to address scientific and clinical questions about changes in chemical gradients, enzymatic activities, metabolic and immune profiles of the TME and circulating analytes. This Review aims to connect the cancer biology and engineering communities, presenting biomedical technologies that may expand the methodologies of the former, while inspiring the latter to develop approaches for interrogating cancer ecosystems.
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Affiliation(s)
- Mijin Kim
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
| | | | - Chen Chen
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA
- Tri-Institutional PhD Program in Chemical Biology, Sloan Kettering Institute, New York, NY, USA
| | - Stephen B Ruiz
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Karuna Ganesh
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA
| | - Tuomas Tammela
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA
- Cancer Biology and Genetics Program, Sloan Kettering Institute, New York, NY, USA
| | - Daniel A Heller
- Molecular Pharmacology Program, Sloan Kettering Institute, New York, NY, USA.
- Graduate School of Medical Sciences, Weill Cornell Medicine, New York, NY, USA.
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52
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Gil JF, Moura CS, Silverio V, Gonçalves G, Santos HA. Cancer Models on Chip: Paving the Way to Large-Scale Trial Applications. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2300692. [PMID: 37103886 DOI: 10.1002/adma.202300692] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 04/05/2023] [Indexed: 06/19/2023]
Abstract
Cancer kills millions of individuals every year all over the world (Global Cancer Observatory). The physiological and biomechanical processes underlying the tumor are still poorly understood, hindering researchers from creating new, effective therapies. Inconsistent results of preclinical research, in vivo testing, and clinical trials decrease drug approval rates. 3D tumor-on-a-chip (ToC) models integrate biomaterials, tissue engineering, fabrication of microarchitectures, and sensory and actuation systems in a single device, enabling reliable studies in fundamental oncology and pharmacology. This review includes a critical discussion about their ability to reproduce the tumor microenvironment (TME), the advantages and drawbacks of existing tumor models and architectures, major components and fabrication techniques. The focus is on current materials and micro/nanofabrication techniques used to manufacture reliable and reproducible microfluidic ToC models for large-scale trial applications.
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Affiliation(s)
- João Ferreira Gil
- Centre for Rapid and Sustainable Product Development, Polytechnic of Leiria, Marinha Grande, 2430-028, Portugal
- INESC Microsistemas e Nanotecnologias (INESC MN), Rua Alves Redol 9, Lisbon, 1000-029, Portugal
- TEMA, Mechanical Engineering Department, University of Aveiro, Aveiro, 3810-193, Portugal
| | - Carla Sofia Moura
- Centre for Rapid and Sustainable Product Development, Polytechnic of Leiria, Marinha Grande, 2430-028, Portugal
- Polytechnic Institute of Coimbra, Applied Research Institute, Coimbra, 3045-093, Portugal
| | - Vania Silverio
- INESC Microsistemas e Nanotecnologias (INESC MN), Rua Alves Redol 9, Lisbon, 1000-029, Portugal
- Department of Physics, Instituto Superior Técnico, Lisbon, 1049-001, Portugal
- Associate Laboratory Institute for Health and Bioeconomy - i4HB, Lisbon, Portugal
| | - Gil Gonçalves
- TEMA, Mechanical Engineering Department, University of Aveiro, Aveiro, 3810-193, Portugal
- Intelligent Systems Associate Laboratory (LASI), Aveiro, 3810-193, Portugal
| | - Hélder A Santos
- Department of Biomedical Engineering, University Medical Center Groningen, University of Groningen, Groningen, 9713 AV, The Netherlands
- W.J. Korf Institute for Biomedical Engineering and Materials Science, University Medical Center Groningen, University of Groningen, Groningen, 9713 AV, The Netherlands
- Drug Research Program, Division of Pharmaceutical Chemistry and Technology, Faculty of Pharmacy, University of Helsinki, Helsinki, 00014, Finland
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53
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Li Z, Li Q, Zhou C, Lu K, Liu Y, Xuan L, Wang X. Organoid-on-a-chip: Current challenges, trends, and future scope toward medicine. BIOMICROFLUIDICS 2023; 17:051505. [PMID: 37900053 PMCID: PMC10613095 DOI: 10.1063/5.0171350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Accepted: 10/12/2023] [Indexed: 10/31/2023]
Abstract
In vitro organoid models, typically defined as 3D multicellular aggregates, have been extensively used as a promising tool in drug screening, disease progression research, and precision medicine. Combined with advanced microfluidics technique, organoid-on-a-chip can flexibly replicate in vivo organs within the biomimetic physiological microenvironment by accurately regulating different parameters, such as fluid conditions and concentration gradients of biochemical factors. Since engineered organ reconstruction has opened a new paradigm in biomedicine, innovative approaches are increasingly required in micro-nano fabrication, tissue construction, and development of pharmaceutical products. In this Perspective review, the advantages and characteristics of organoid-on-a-chip are first introduced. Challenges in current organoid culture, extracellular matrix building, and device manufacturing techniques are subsequently demonstrated, followed by potential alternative approaches, respectively. The future directions and emerging application scenarios of organoid-on-a-chip are finally prospected to further satisfy the clinical demands.
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Affiliation(s)
- Zhangjie Li
- Department of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Qinyu Li
- Department of Ophthalmology, LKS Faculty of Medicine, The University of Hong Kong, 999077 Hong Kong, China
| | - Chenyang Zhou
- Department of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Kangyi Lu
- Department of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Yijun Liu
- Department of Micro/Nano Electronics, School of Electronic Information and Electrical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Lian Xuan
- Institute of Medical Robotics, Shanghai Jiao Tong University, Shanghai 200240, China
| | - Xiaolin Wang
- Author to whom correspondence should be addressed:
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Li Q, Yu H, Zhao F, Cao C, Wu T, Fan Y, Ao Y, Hu X. 3D Printing of Microenvironment-Specific Bioinspired and Exosome-Reinforced Hydrogel Scaffolds for Efficient Cartilage and Subchondral Bone Regeneration. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2303650. [PMID: 37424038 PMCID: PMC10502685 DOI: 10.1002/advs.202303650] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Indexed: 07/11/2023]
Abstract
In clinical practice, repairing osteochondral defects presents a challenge due to the varying biological properties of articular cartilages and subchondral bones. Thus, elucidating how spatial microenvironment-specific biomimetic scaffolds can be used to simultaneously regenerate osteochondral tissue is an important research topic. Herein, a novel bioinspired double-network hydrogel scaffold produced via 3D printing with tissue-specific decellularized extracellular matrix (dECM) and human adipose mesenchymal stem cell (MSC)-derived exosomes is described. The bionic hydrogel scaffolds promote rat bone marrow MSC attachment, spread, migration, proliferation, and chondrogenic and osteogenic differentiation in vitro, as determined based on the sustained release of bioactive exosomes. Furthermore, the 3D-printed microenvironment-specific heterogeneous bilayer scaffolds efficiently accelerate the simultaneous regeneration of cartilage and subchondral bone tissues in a rat preclinical model. In conclusion, 3D dECM-based microenvironment-specific biomimetics encapsulated with bioactive exosomes can serve as a novel cell-free recipe for stem cell therapy when treating injured or degenerative joints. This strategy provides a promising platform for complex zonal tissue regeneration whilst holding attractive clinical translation potential.
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Affiliation(s)
- Qi Li
- Department of Sports MedicineInstitute of Sports Medicine of Peking UniversityBeijing Key Laboratory of Sports InjuriesPeking University Third HospitalBeijing100191China
- Center of Foot and Ankle SurgeryBeijing Tongren HospitalCapital Medical UniversityBeijing100730China
| | - Huilei Yu
- Department of Sports MedicineInstitute of Sports Medicine of Peking UniversityBeijing Key Laboratory of Sports InjuriesPeking University Third HospitalBeijing100191China
| | - Fengyuan Zhao
- Department of Sports MedicineInstitute of Sports Medicine of Peking UniversityBeijing Key Laboratory of Sports InjuriesPeking University Third HospitalBeijing100191China
| | - Chenxi Cao
- Department of Sports MedicineInstitute of Sports Medicine of Peking UniversityBeijing Key Laboratory of Sports InjuriesPeking University Third HospitalBeijing100191China
| | - Tong Wu
- Department of Sports MedicineInstitute of Sports Medicine of Peking UniversityBeijing Key Laboratory of Sports InjuriesPeking University Third HospitalBeijing100191China
| | - Yifei Fan
- Department of Sports MedicineInstitute of Sports Medicine of Peking UniversityBeijing Key Laboratory of Sports InjuriesPeking University Third HospitalBeijing100191China
| | - Yingfang Ao
- Department of Sports MedicineInstitute of Sports Medicine of Peking UniversityBeijing Key Laboratory of Sports InjuriesPeking University Third HospitalBeijing100191China
| | - Xiaoqing Hu
- Department of Sports MedicineInstitute of Sports Medicine of Peking UniversityBeijing Key Laboratory of Sports InjuriesPeking University Third HospitalBeijing100191China
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55
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Moghimi N, Hosseini SA, Dalan AB, Mohammadrezaei D, Goldman A, Kohandel M. Controlled tumor heterogeneity in a co-culture system by 3D bio-printed tumor-on-chip model. Sci Rep 2023; 13:13648. [PMID: 37607994 PMCID: PMC10444838 DOI: 10.1038/s41598-023-40680-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/16/2023] [Accepted: 08/16/2023] [Indexed: 08/24/2023] Open
Abstract
Cancer treatment resistance is a caused by presence of various types of cells and heterogeneity within the tumor. Tumor cell-cell and cell-microenvironment interactions play a significant role in the tumor progression and invasion, which have important implications for diagnosis, and resistance to chemotherapy. In this study, we develop 3D bioprinted in vitro models of the breast cancer tumor microenvironment made of co-cultured cells distributed in a hydrogel matrix with controlled architecture to model tumor heterogeneity. We hypothesize that the tumor could be represented by a cancer cell-laden co-culture hydrogel construct, whereas its microenvironment can be modeled in a microfluidic chip capable of producing a chemical gradient. Breast cancer cells (MCF7 and MDA-MB-231) and non-tumorigenic mammary epithelial cells (MCF10A) were embedded in the alginate-gelatine hydrogels and printed using a multi-cartridge extrusion bioprinter. Our approach allows for precise control over position and arrangements of cells in a co-culture system, enabling the design of various tumor architectures. We created samples with two different types of cells at specific initial locations, where the density of each cell type was carefully controlled. The cells were either randomly mixed or positioned in sequential layers to create cellular heterogeneity. To study cell migration toward chemoattractant, we developed a chemical microenvironment in a chamber with a gradual chemical gradient. As a proof of concept, we studied different migration patterns of MDA-MB-231 cells toward the epithelial growth factor gradient in presence of MCF10A cells in different ratios using this device. Our approach involves the integration of 3D bioprinting and microfluidic devices to create diverse tumor architectures that are representative of those found in various patients. This provides an excellent tool for studying the behavior of cancer cells with high spatial and temporal resolution.
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Affiliation(s)
- Nafiseh Moghimi
- Department of Applied Mathematics, University of Waterloo, Waterloo, Canada.
- Department of Medicine, Harvard Medical School, Boston, MA, USA.
| | - Seied Ali Hosseini
- Electrical Engineering Department, University of Waterloo, Waterloo, Canada
| | - Altay Burak Dalan
- Department of Applied Mathematics, University of Waterloo, Waterloo, Canada
- Department of Medical Genetics, School of Medicine, Yeditepe University, Istanbul, Turkey
| | | | - Aaron Goldman
- Department of Medicine, Harvard Medical School, Boston, MA, USA
- Division of Engineering in Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Mohammad Kohandel
- Department of Applied Mathematics, University of Waterloo, Waterloo, Canada
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56
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Reynolds DS, de Lázaro I, Blache ML, Liu Y, Jeffreys NC, Doolittle RM, Grandidier E, Olszewski J, Dacus MT, Mooney DJ, Lewis JA. Microporogen-Structured Collagen Matrices for Embedded Bioprinting of Tumor Models for Immuno-Oncology. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2023; 35:e2210748. [PMID: 37163476 DOI: 10.1002/adma.202210748] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Revised: 04/10/2023] [Indexed: 05/12/2023]
Abstract
Embedded bioprinting enables the rapid design and fabrication of complex tissues that recapitulate in vivo microenvironments. However, few biological matrices enable good print fidelity, while simultaneously facilitate cell viability, proliferation, and migration. Here, a new microporogen-structured (µPOROS) matrix for embedded bioprinting is introduced, in which matrix rheology, printing behavior, and porosity are tailored by adding sacrificial microparticles composed of a gelatin-chitosan complex to a prepolymer collagen solution. To demonstrate its utility, a 3D tumor model is created via embedded printing of a murine melanoma cell ink within the µPOROS collagen matrix at 4 °C. The collagen matrix is subsequently crosslinked around the microparticles upon warming to 21 °C, followed by their melting and removal at 37 °C. This process results in a µPOROS matrix with a fibrillar collagen type-I network akin to that observed in vivo. Printed tumor cells remain viable and proliferate, while antigen-specific cytotoxic T cells incorporated in the matrix migrate to the tumor site, where they induce cell death. The integration of the µPOROS matrix with embedded bioprinting opens new avenues for creating complex tissue microenvironments in vitro that may find widespread use in drug discovery, disease modeling, and tissue engineering for therapeutic use.
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Affiliation(s)
- Daniel S Reynolds
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Irene de Lázaro
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Manon L Blache
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
- École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
| | - Yutong Liu
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Nicholas C Jeffreys
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Ramsey M Doolittle
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Estée Grandidier
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
- École Polytechnique Fédérale de Lausanne, Lausanne, 1015, Switzerland
- École Normale Supérieure de Lyon, Lyon, 69007, France
| | - Jason Olszewski
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
- Department of Bioengineering, Northeastern University, Boston, MA, 02115, USA
| | - Mason T Dacus
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - David J Mooney
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
| | - Jennifer A Lewis
- John A. Paulson School of Engineering and Applied Sciences and the Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA, 02138, USA
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57
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Li C, Holman JB, Shi Z, Qiu B, Ding W. On-chip modeling of tumor evolution: Advances, challenges and opportunities. Mater Today Bio 2023; 21:100724. [PMID: 37483380 PMCID: PMC10359640 DOI: 10.1016/j.mtbio.2023.100724] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2023] [Revised: 06/16/2023] [Accepted: 07/06/2023] [Indexed: 07/25/2023] Open
Abstract
Tumor evolution is the accumulation of various tumor cell behaviors from tumorigenesis to tumor metastasis and is regulated by the tumor microenvironment (TME). However, the mechanism of solid tumor progression has not been completely elucidated, and thus, the development of tumor therapy is still limited. Recently, Tumor chips constructed by culturing tumor cells and stromal cells on microfluidic chips have demonstrated great potential in modeling solid tumors and visualizing tumor cell behaviors to exploit tumor progression. Herein, we review the methods of developing engineered solid tumors on microfluidic chips in terms of tumor types, cell resources and patterns, the extracellular matrix and the components of the TME, and summarize the recent advances of microfluidic chips in demonstrating tumor cell behaviors, including proliferation, epithelial-to-mesenchymal transition, migration, intravasation, extravasation and immune escape of tumor cells. We also outline the combination of tumor organoids and microfluidic chips to elaborate tumor organoid-on-a-chip platforms, as well as the practical limitations that must be overcome.
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Affiliation(s)
- Chengpan Li
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, 230027, China
- Center for Biomedical Imaging, University of Science and Technology of China, Hefei, Anhui, 230027, China
| | - Joseph Benjamin Holman
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, 230027, China
| | - Zhengdi Shi
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, 230027, China
| | - Bensheng Qiu
- Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, 230027, China
- Center for Biomedical Imaging, University of Science and Technology of China, Hefei, Anhui, 230027, China
| | - Weiping Ding
- Department of Oncology, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, 230001, China
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58
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Tronolone JJ, Mathur T, Chaftari CP, Jain A. Evaluation of the Morphological and Biological Functions of Vascularized Microphysiological Systems with Supervised Machine Learning. Ann Biomed Eng 2023; 51:1723-1737. [PMID: 36913087 DOI: 10.1007/s10439-023-03177-2] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/07/2022] [Accepted: 02/22/2023] [Indexed: 03/14/2023]
Abstract
Vascularized microphysiological systems and organoids are contemporary preclinical experimental platforms representing human tissue or organ function in health and disease. While vascularization is emerging as a necessary physiological organ-level feature required in most such systems, there is no standard tool or morphological metric to measure the performance or biological function of vascularized networks within these models. Further, the commonly reported morphological metrics may not correlate to the network's biological function-oxygen transport. Here, a large library of vascular network images was analyzed by the measure of each sample's morphology and oxygen transport potential. The oxygen transport quantification is computationally expensive and user-dependent, so machine learning techniques were examined to generate regression models relating morphology to function. Principal component and factor analyses were applied to reduce dimensionality of the multivariate dataset, followed by multiple linear regression and tree-based regression analyses. These examinations reveal that while several morphological data relate poorly to the biological function, some machine learning models possess a relatively improved, but still moderate predictive potential. Overall, random forest regression model correlates to the biological function of vascular networks with relatively higher accuracy than other regression models.
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Affiliation(s)
- James J Tronolone
- Department of Biomedical Engineering, College of Engineering, Texas A&M University, 101 Bizzell Street, College Station, TX, 77843, USA
| | - Tanmay Mathur
- Department of Biomedical Engineering, College of Engineering, Texas A&M University, 101 Bizzell Street, College Station, TX, 77843, USA
| | - Christopher P Chaftari
- Department of Biomedical Engineering, College of Engineering, Texas A&M University, 101 Bizzell Street, College Station, TX, 77843, USA
| | - Abhishek Jain
- Department of Biomedical Engineering, College of Engineering, Texas A&M University, 101 Bizzell Street, College Station, TX, 77843, USA.
- Department of Medical Physiology, School of Medicine, Texas A&M University, Bryan, TX, USA.
- Department of Cardiovascular Sciences, Houston Methodist Academic Institute, Houston, USA.
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59
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Tabatabaei Rezaei N, Kumar H, Liu H, Lee SS, Park SS, Kim K. Recent Advances in Organ-on-Chips Integrated with Bioprinting Technologies for Drug Screening. Adv Healthc Mater 2023; 12:e2203172. [PMID: 36971091 DOI: 10.1002/adhm.202203172] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/06/2022] [Revised: 02/27/2023] [Indexed: 03/29/2023]
Abstract
Currently, the demand for more reliable drug screening devices has made scientists and researchers develop novel potential approaches to offer an alternative to animal studies. Organ-on-chips are newly emerged platforms for drug screening and disease metabolism investigation. These microfluidic devices attempt to recapitulate the physiological and biological properties of different organs and tissues using human-derived cells. Recently, the synergistic combination of additive manufacturing and microfluidics has shown a promising impact on improving a wide array of biological models. In this review, different methods are classified using bioprinting to achieve the relevant biomimetic models in organ-on-chips, boosting the efficiency of these devices to produce more reliable data for drug investigations. In addition to the tissue models, the influence of additive manufacturing on microfluidic chip fabrication is discussed, and their biomedical applications are reviewed.
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Affiliation(s)
- Nima Tabatabaei Rezaei
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
| | - Hitendra Kumar
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
- Department of Pathology and Laboratory Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
| | - Hongqun Liu
- Liver Unit, Cumming School of Medicine, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
| | - Samuel S Lee
- Liver Unit, Cumming School of Medicine, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
| | - Simon S Park
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
| | - Keekyoung Kim
- Department of Mechanical and Manufacturing Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
- Department of Biomedical Engineering, University of Calgary, Calgary, Alberta, T2N 1N4, Canada
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60
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Kutluk H, Bastounis EE, Constantinou I. Integration of Extracellular Matrices into Organ-on-Chip Systems. Adv Healthc Mater 2023; 12:e2203256. [PMID: 37018430 DOI: 10.1002/adhm.202203256] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Revised: 03/20/2023] [Indexed: 04/07/2023]
Abstract
The extracellular matrix (ECM) is a complex, dynamic network present within all tissues and organs that not only acts as a mechanical support and anchorage point but can also direct fundamental cell behavior, function, and characteristics. Although the importance of the ECM is well established, the integration of well-controlled ECMs into Organ-on-Chip (OoC) platforms remains challenging and the methods to modulate and assess ECM properties on OoCs remain underdeveloped. In this review, current state-of-the-art design and assessment of in vitro ECM environments is discussed with a focus on their integration into OoCs. Among other things, synthetic and natural hydrogels, as well as polydimethylsiloxane (PDMS) used as substrates, coatings, or cell culture membranes are reviewed in terms of their ability to mimic the native ECM and their accessibility for characterization. The intricate interplay among materials, OoC architecture, and ECM characterization is critically discussed as it significantly complicates the design of ECM-related studies, comparability between works, and reproducibility that can be achieved across research laboratories. Improving the biomimetic nature of OoCs by integrating properly considered ECMs would contribute to their further adoption as replacements for animal models, and precisely tailored ECM properties would promote the use of OoCs in mechanobiology.
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Affiliation(s)
- Hazal Kutluk
- Institute of Microtechnology (IMT), Technical University of Braunschweig, Alte Salzdahlumer Str. 203, 38124, Braunschweig, Germany
- Center of Pharmaceutical Engineering (PVZ), Technical University of Braunschweig, Franz-Liszt-Str. 35a, 38106, Braunschweig, Germany
| | - Effie E Bastounis
- Institute of Microbiology and Infection Medicine (IMIT), Eberhard Karls University of Tübingen, Auf der Morgenstelle 28, E8, 72076, Tübingen, Germany
- Cluster of Excellence "Controlling Microbes to Fight Infections" EXC 2124, Eberhard Karls University of Tübingen, Auf der Morgenstelle 28, 72076, Tübingen, Germany
| | - Iordania Constantinou
- Institute of Microtechnology (IMT), Technical University of Braunschweig, Alte Salzdahlumer Str. 203, 38124, Braunschweig, Germany
- Center of Pharmaceutical Engineering (PVZ), Technical University of Braunschweig, Franz-Liszt-Str. 35a, 38106, Braunschweig, Germany
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61
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Choi S, Lee KY, Kim SL, MacQueen LA, Chang H, Zimmerman JF, Jin Q, Peters MM, Ardoña HAM, Liu X, Heiler AC, Gabardi R, Richardson C, Pu WT, Bausch AR, Parker KK. Fibre-infused gel scaffolds guide cardiomyocyte alignment in 3D-printed ventricles. NATURE MATERIALS 2023; 22:1039-1046. [PMID: 37500957 PMCID: PMC10686196 DOI: 10.1038/s41563-023-01611-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/06/2022] [Accepted: 06/19/2023] [Indexed: 07/29/2023]
Abstract
Hydrogels are attractive materials for tissue engineering, but efforts to date have shown limited ability to produce the microstructural features necessary to promote cellular self-organization into hierarchical three-dimensional (3D) organ models. Here we develop a hydrogel ink containing prefabricated gelatin fibres to print 3D organ-level scaffolds that recapitulate the intra- and intercellular organization of the heart. The addition of prefabricated gelatin fibres to hydrogels enables the tailoring of the ink rheology, allowing for a controlled sol-gel transition to achieve precise printing of free-standing 3D structures without additional supporting materials. Shear-induced alignment of fibres during ink extrusion provides microscale geometric cues that promote the self-organization of cultured human cardiomyocytes into anisotropic muscular tissues in vitro. The resulting 3D-printed ventricle in vitro model exhibited biomimetic anisotropic electrophysiological and contractile properties.
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Affiliation(s)
- Suji Choi
- Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
| | - Keel Yong Lee
- Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
- Department of Integrative Bioscience and Biotechnology, Sejong University, Seoul, Republic of Korea
| | - Sean L Kim
- Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
| | - Luke A MacQueen
- Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
| | - Huibin Chang
- Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
| | - John F Zimmerman
- Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
| | - Qianru Jin
- Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
| | - Michael M Peters
- Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
| | - Herdeline Ann M Ardoña
- Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
- Department of Chemical and Biomolecular Engineering, Samueli School of Engineering, University of California, Irvine, CA, USA
| | - Xujie Liu
- Department of Cardiology, Boston Children's Hospital, Boston, MA, USA
- Fuwai Hospital Chinese Academy of Medical Sciences, Shenzhen, China
| | - Ann-Caroline Heiler
- Department of Bioscience, TUM School of Natural Sciences, Technische Universität München, Garching, Germany
- Center for Functional Protein Assemblies, Technische Universität München, Garching, Germany
- Center for Organoid Systems (COS), Technische Universität München, Garching, Germany
| | - Rudy Gabardi
- Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
| | - Collin Richardson
- Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA
| | - William T Pu
- Department of Cardiology, Boston Children's Hospital, Boston, MA, USA
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA
| | - Andreas R Bausch
- Department of Bioscience, TUM School of Natural Sciences, Technische Universität München, Garching, Germany
- Center for Functional Protein Assemblies, Technische Universität München, Garching, Germany
- Center for Organoid Systems (COS), Technische Universität München, Garching, Germany
- Max Planck School Matter to Life, Max Planck Schools, Heidelberg, Germany
| | - Kevin Kit Parker
- Disease Biophysics Group, John A. Paulson School of Engineering and Applied Sciences, Harvard University, Boston, MA, USA.
- Harvard Stem Cell Institute, Harvard University, Cambridge, MA, USA.
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, MA, USA.
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62
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Xie Z, Chen M, Lian J, Wang H, Ma J. Glioblastoma-on-a-chip construction and therapeutic applications. Front Oncol 2023; 13:1183059. [PMID: 37503321 PMCID: PMC10368971 DOI: 10.3389/fonc.2023.1183059] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Accepted: 05/16/2023] [Indexed: 07/29/2023] Open
Abstract
Glioblastoma (GBM) is the most malignant type of primary intracranial tumor with a median overall survival of only 14 months, a very poor prognosis and a recurrence rate of 90%. It is difficult to reflect the complex structure and function of the GBM microenvironment in vivo using traditional in vitro models. GBM-on-a-chip platforms can integrate biological or chemical functional units of a tumor into a chip, mimicking in vivo functions of GBM cells. This technology has shown great potential for applications in personalized precision medicine and GBM immunotherapy. In recent years, there have been efforts to construct GBM-on-a-chip models based on microfluidics and bioprinting. A number of research teams have begun to use GBM-on-a-chip models for the investigation of GBM progression mechanisms, drug candidates, and therapeutic approaches. This review first briefly discusses the use of microfluidics and bioprinting technologies for GBM-on-a-chip construction. Second, we classify non-surgical treatments for GBM in pre-clinical research into three categories (chemotherapy, immunotherapy and other therapies) and focus on the use of GBM-on-a-chip in research for each category. Last, we demonstrate that organ-on-a-chip technology in therapeutic field is still in its initial stage and provide future perspectives for research directions in the field.
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Affiliation(s)
| | | | | | | | - Jingyun Ma
- *Correspondence: Hongcai Wang, ; Jingyun Ma,
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63
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Wang X, Sun Y, Zhang DY, Ming GL, Song H. Glioblastoma modeling with 3D organoids: progress and challenges. OXFORD OPEN NEUROSCIENCE 2023; 2:kvad008. [PMID: 38596241 PMCID: PMC10913843 DOI: 10.1093/oons/kvad008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Indexed: 04/11/2024]
Abstract
Glioblastoma (GBM) is the most aggressive adult primary brain tumor with nearly universal treatment resistance and recurrence. The mainstay of therapy remains maximal safe surgical resection followed by concurrent radiation therapy and temozolomide chemotherapy. Despite intensive investigation, alternative treatment options, such as immunotherapy or targeted molecular therapy, have yielded limited success to achieve long-term remission. This difficulty is partly due to the lack of pre-clinical models that fully recapitulate the intratumoral and intertumoral heterogeneity of GBM and the complex tumor microenvironment. Recently, GBM 3D organoids originating from resected patient tumors, genetic manipulation of induced pluripotent stem cell (iPSC)-derived brain organoids and bio-printing or fusion with non-malignant tissues have emerged as novel culture systems to portray the biology of GBM. Here, we highlight several methodologies for generating GBM organoids and discuss insights gained using such organoid models compared to classic modeling approaches using cell lines and xenografts. We also outline limitations of current GBM 3D organoids, most notably the difficulty retaining the tumor microenvironment, and discuss current efforts for improvements. Finally, we propose potential applications of organoid models for a deeper mechanistic understanding of GBM and therapeutic development.
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Affiliation(s)
- Xin Wang
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Yusha Sun
- Neuroscience Graduate Group, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Daniel Y Zhang
- Department of Neurosurgery, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Guo-li Ming
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
| | - Hongjun Song
- Department of Neuroscience and Mahoney Institute for Neurosciences, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Department of Cell and Developmental Biology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- Institute for Regenerative Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- The Epigenetics Institute, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA 19104, USA
- GBM Translational Center of Excellence, Abramson Cancer Center, University of Pennsylvania Philadelphia, PA 19104, USA
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64
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Alvarez-Rivera E, Ortiz-Hernández EJ, Lugo E, Lozada-Reyes LM, Boukli NM. Oncogenic Proteomics Approaches for Translational Research and HIV-Associated Malignancy Mechanisms. Proteomes 2023; 11:22. [PMID: 37489388 PMCID: PMC10366845 DOI: 10.3390/proteomes11030022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2023] [Revised: 06/09/2023] [Accepted: 06/29/2023] [Indexed: 07/26/2023] Open
Abstract
Recent advances in the field of proteomics have allowed extensive insights into the molecular regulations of the cell proteome. Specifically, this allows researchers to dissect a multitude of signaling arrays while targeting for the discovery of novel protein signatures. These approaches based on data mining are becoming increasingly powerful for identifying both potential disease mechanisms as well as indicators for disease progression and overall survival predictive and prognostic molecular markers for cancer. Furthermore, mass spectrometry (MS) integrations satisfy the ongoing demand for in-depth biomarker validation. For the purpose of this review, we will highlight the current developments based on MS sensitivity, to place quantitative proteomics into clinical settings and provide a perspective to integrate proteomics data for future applications in cancer precision medicine. We will also discuss malignancies associated with oncogenic viruses such as Acquire Immunodeficiency Syndrome (AIDS) and suggest novel mechanisms behind this phenomenon. Human Immunodeficiency Virus type-1 (HIV-1) proteins are known to be oncogenic per se, to induce oxidative and endoplasmic reticulum stresses, and to be released from the infected or expressing cells. HIV-1 proteins can act alone or in collaboration with other known oncoproteins, which cause the bulk of malignancies in people living with HIV-1 on ART.
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Affiliation(s)
- Eduardo Alvarez-Rivera
- Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA
| | - Emanuel J. Ortiz-Hernández
- Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA
| | - Elyette Lugo
- Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA
| | | | - Nawal M. Boukli
- Biomedical Proteomics Facility, Department of Microbiology and Immunology, Universidad Central del Caribe, School of Medicine, Bayamón, PR 00960, USA
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65
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Kumari S, Gupta R, Ambasta RK, Kumar P. Multiple therapeutic approaches of glioblastoma multiforme: From terminal to therapy. Biochim Biophys Acta Rev Cancer 2023; 1878:188913. [PMID: 37182666 DOI: 10.1016/j.bbcan.2023.188913] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Revised: 04/24/2023] [Accepted: 05/10/2023] [Indexed: 05/16/2023]
Abstract
Glioblastoma multiforme (GBM) is an aggressive brain cancer showing poor prognosis. Currently, treatment methods of GBM are limited with adverse outcomes and low survival rate. Thus, advancements in the treatment of GBM are of utmost importance, which can be achieved in recent decades. However, despite aggressive initial treatment, most patients develop recurrent diseases, and the overall survival rate of patients is impossible to achieve. Currently, researchers across the globe target signaling events along with tumor microenvironment (TME) through different drug molecules to inhibit the progression of GBM, but clinically they failed to demonstrate much success. Herein, we discuss the therapeutic targets and signaling cascades along with the role of the organoids model in GBM research. Moreover, we systematically review the traditional and emerging therapeutic strategies in GBM. In addition, we discuss the implications of nanotechnologies, AI, and combinatorial approach to enhance GBM therapeutics.
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Affiliation(s)
- Smita Kumari
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India
| | - Rohan Gupta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India
| | - Rashmi K Ambasta
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India
| | - Pravir Kumar
- Molecular Neuroscience and Functional Genomics Laboratory, Department of Biotechnology, Delhi Technological University, India.
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66
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Li W, Zhou Z, Zhou X, Khoo BL, Gunawan R, Chin YR, Zhang L, Yi C, Guan X, Yang M. 3D Biomimetic Models to Reconstitute Tumor Microenvironment In Vitro: Spheroids, Organoids, and Tumor-on-a-Chip. Adv Healthc Mater 2023; 12:e2202609. [PMID: 36917657 DOI: 10.1002/adhm.202202609] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2022] [Revised: 02/22/2023] [Indexed: 03/16/2023]
Abstract
Decades of efforts in engineering in vitro cancer models have advanced drug discovery and the insight into cancer biology. However, the establishment of preclinical models that enable fully recapitulating the tumor microenvironment remains challenging owing to its intrinsic complexity. Recent progress in engineering techniques has allowed the development of a new generation of in vitro preclinical models that can recreate complex in vivo tumor microenvironments and accurately predict drug responses, including spheroids, organoids, and tumor-on-a-chip. These biomimetic 3D tumor models are of particular interest as they pave the way for better understanding of cancer biology and accelerating the development of new anticancer therapeutics with reducing animal use. Here, the recent advances in developing these in vitro platforms for cancer modeling and preclinical drug screening, focusing on incorporating hydrogels are reviewed to reconstitute physiologically relevant microenvironments. The combination of spheroids/organoids with microfluidic technologies is also highlighted to better mimic in vivo tumors and discuss the challenges and future directions in the clinical translation of such models for drug screening and personalized medicine.
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Affiliation(s)
- Wenxiu Li
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
| | - Zhihang Zhou
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
- Department of Gastroenterology, the Second Affiliated Hospital of Chongqing Medical University, Chongqing, 400010, China
| | - Xiaoyu Zhou
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
| | - Bee Luan Khoo
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, 999077, China
| | - Renardi Gunawan
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
| | - Y Rebecca Chin
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
| | - Liang Zhang
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
| | - Changqing Yi
- Guangdong Provincial Engineering and Technology Center of Advanced and Portable Medical Devices, School of Biomedical Engineering, Sun Yat-sen University, Guangzhou, 518107, China
| | - Xinyuan Guan
- Department of Clinical Oncology, State Key Laboratory for Liver Research, The University of Hong Kong, Hong Kong, SAR, 999077, China
| | - Mengsu Yang
- Department of Precision Diagnostic and Therapeutic Technology, City University of Hong Kong Shenzhen Futian Research Institute, Shenzhen, 518000, China
- Department of Biomedical Sciences, Tung Biomedical Sciences Centre, City University of Hong Kong, Hong Kong, SAR, 999077, China
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67
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Antonelli F. 3D Cell Models in Radiobiology: Improving the Predictive Value of In Vitro Research. Int J Mol Sci 2023; 24:10620. [PMID: 37445795 DOI: 10.3390/ijms241310620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Revised: 06/16/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
Cancer is intrinsically complex, comprising both heterogeneous cellular composition and extracellular matrix. In vitro cancer research models have been widely used in the past to model and study cancer. Although two-dimensional (2D) cell culture models have traditionally been used for cancer research, they have many limitations, such as the disturbance of interactions between cellular and extracellular environments and changes in cell morphology, polarity, division mechanism, differentiation and cell motion. Moreover, 2D cell models are usually monotypic. This implies that 2D tumor models are ineffective at accurately recapitulating complex aspects of tumor cell growth, as well as their radiation responses. Over the past decade there has been significant uptake of three-dimensional (3D) in vitro models by cancer researchers, highlighting a complementary model for studies of radiation effects on tumors, especially in conjunction with chemotherapy. The introduction of 3D cell culture approaches aims to model in vivo tissue interactions with radiation by positioning itself halfway between 2D cell and animal models, and thus opening up new possibilities in the study of radiation response mechanisms of healthy and tumor tissues.
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Affiliation(s)
- Francesca Antonelli
- Laboratory of Biomedical Technologies, Division of Health Protection Technologies, Agenzia Nazionale per le Nuove Tecnologie, l'Energia e lo Sviluppo Economico Sostenibile (ENEA), 00123 Rome, Italy
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68
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Li Y, Liu Y, Xu J, Chen D, Wu T, Cao Y. Macrophage-Cancer Hybrid Membrane-Camouflaged Nanoplatforms for HIF-1α Gene Silencing-Enhanced Sonodynamic Therapy of Glioblastoma. ACS APPLIED MATERIALS & INTERFACES 2023. [PMID: 37338326 DOI: 10.1021/acsami.3c03001] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/21/2023]
Abstract
Fabrication of ingenious nanomedicines to penetrate the blood-brain barrier (BBB) and blood-brain-tumor barrier (BBTB) for efficient glioblastoma (GBM) therapy remains a big challenge. In this work, macrophage-cancer hybrid membrane-camouflaged nanoplatforms were fabricated for target gene silencing-enhanced sonodynamic therapy (SDT) of GBM. The J774.A.1 macrophage cell membrane and the U87 glioblastoma cell membrane were fused to create a hybrid biomembrane (JUM) with good BBB penetration and glioblastoma targeting capability for camouflaging. The ZIF-8 nanoparticles were synthesized for indocyanine green (ICG) and HIF-1α siRNA encapsulation (ICG-siRNA@ZIF-8, ISZ) with a high loading efficiency. After accumulation in the tumor sites, the pH sensitivity of the nanoplatform enabled release of ICG and HIF-1α siRNA in the tumor cells. Then, the expression of HIF-1α could be efficiently inhibited by the released HIF-1α siRNA to increase the SDT efficiency under hypoxic conditions. In vitro and in vivo experiments revealed that ISZ@JUM showed good BBB penetration and brain tumor-targeting capability and could achieve effective gene silencing-enhanced SDT, demonstrating great promise for clinical applications.
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Affiliation(s)
- Yunxia Li
- College of Health Science and Engineering, Hubei University, Wuhan 430062, P. R. China
- College of Chemistry and Chemical Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Ying Liu
- College of Health Science and Engineering, Hubei University, Wuhan 430062, P. R. China
- College of Chemistry and Chemical Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Jiaqing Xu
- College of Health Science and Engineering, Hubei University, Wuhan 430062, P. R. China
- College of Chemistry and Chemical Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Dandan Chen
- College of Health Science and Engineering, Hubei University, Wuhan 430062, P. R. China
- College of Chemistry and Chemical Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Tingting Wu
- College of Health Science and Engineering, Hubei University, Wuhan 430062, P. R. China
- College of Chemistry and Chemical Engineering, Hubei University, Wuhan 430062, P. R. China
| | - Yu Cao
- College of Health Science and Engineering, Hubei University, Wuhan 430062, P. R. China
- College of Chemistry and Chemical Engineering, Hubei University, Wuhan 430062, P. R. China
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69
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Huang YL, Dickerson LK, Kenerson H, Jiang X, Pillarisetty V, Tian Q, Hood L, Gujral TS, Yeung RS. Organotypic Models for Functional Drug Testing of Human Cancers. BME FRONTIERS 2023; 4:0022. [PMID: 37849667 PMCID: PMC10275620 DOI: 10.34133/bmef.0022] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Accepted: 05/30/2023] [Indexed: 10/19/2023] Open
Abstract
In the era of personalized oncology, there have been accelerated efforts to develop clinically relevant platforms to test drug sensitivities of individual cancers. An ideal assay will serve as a diagnostic companion to inform the oncologist of the various treatments that are sensitive and insensitive, thus improving outcome while minimizing unnecessary toxicities and costs. To date, no such platform exists for clinical use, but promising approaches are on the horizon that take advantage of improved techniques in creating human cancer models that encompass the entire tumor microenvironment, alongside technologies for assessing and analyzing tumor response. This review summarizes a number of current strategies that make use of intact human cancer tissues as organotypic cultures in drug sensitivity testing.
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Affiliation(s)
- Yu Ling Huang
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | | | - Heidi Kenerson
- Department of Surgery, University of Washington, Seattle, WA, USA
| | - Xiuyun Jiang
- Department of Surgery, University of Washington, Seattle, WA, USA
| | | | - Qiang Tian
- National Research Center for Translational Medicine, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Leroy Hood
- Institute for Systems Biology, Phenome Health Institute, Seattle, WA, USA
| | - Taranjit S. Gujral
- Division of Human Biology, Fred Hutchinson Cancer Center, Seattle, WA, USA
| | - Raymond S. Yeung
- Department of Surgery, University of Washington, Seattle, WA, USA
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70
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Parodi I, Di Lisa D, Pastorino L, Scaglione S, Fato MM. 3D Bioprinting as a Powerful Technique for Recreating the Tumor Microenvironment. Gels 2023; 9:482. [PMID: 37367152 DOI: 10.3390/gels9060482] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 06/06/2023] [Accepted: 06/10/2023] [Indexed: 06/28/2023] Open
Abstract
In vitro three-dimensional models aim to reduce and replace animal testing and establish new tools for oncology research and the development and testing of new anticancer therapies. Among the various techniques to produce more complex and realistic cancer models is bioprinting, which allows the realization of spatially controlled hydrogel-based scaffolds, easily incorporating different types of cells in order to recreate the crosstalk between cancer and stromal components. Bioprinting exhibits other advantages, such as the production of large constructs, the repeatability and high resolution of the process, as well as the possibility of vascularization of the models through different approaches. Moreover, bioprinting allows the incorporation of multiple biomaterials and the creation of gradient structures to mimic the heterogeneity of the tumor microenvironment. The aim of this review is to report the main strategies and biomaterials used in cancer bioprinting. Moreover, the review discusses several bioprinted models of the most diffused and/or malignant tumors, highlighting the importance of this technique in establishing reliable biomimetic tissues aimed at improving disease biology understanding and high-throughput drug screening.
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Affiliation(s)
- Ilaria Parodi
- Department of Computer Science, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16126 Genoa, Italy
- National Research Council of Italy, Institute of Electronic, Computer and Telecommunications Engineering (IEIIT), 16149 Genoa, Italy
| | - Donatella Di Lisa
- Department of Computer Science, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16126 Genoa, Italy
| | - Laura Pastorino
- Department of Computer Science, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16126 Genoa, Italy
| | - Silvia Scaglione
- National Research Council of Italy, Institute of Electronic, Computer and Telecommunications Engineering (IEIIT), 16149 Genoa, Italy
- React4life S.p.A., 16152 Genova, Italy
| | - Marco Massimo Fato
- Department of Computer Science, Bioengineering, Robotics and Systems Engineering, University of Genoa, 16126 Genoa, Italy
- National Research Council of Italy, Institute of Electronic, Computer and Telecommunications Engineering (IEIIT), 16149 Genoa, Italy
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71
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Marques JROF, González-Alva P, Yu-Tong Lin R, Ferreira Fernandes B, Chaurasia A, Dubey N. Advances in tissue engineering of cancer microenvironment-from three-dimensional culture to three-dimensional printing. SLAS Technol 2023; 28:152-164. [PMID: 37019216 DOI: 10.1016/j.slast.2023.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/09/2022] [Revised: 02/27/2023] [Accepted: 03/28/2023] [Indexed: 04/05/2023]
Abstract
Cancer treatment development is a complex process, with tumor heterogeneity and inter-patient variations limiting the success of therapeutic intervention. Traditional two-dimensional cell culture has been used to study cancer metabolism, but it fails to capture physiologically relevant cell-cell and cell-environment interactions required to mimic tumor-specific architecture. Over the past three decades, research efforts in the field of 3D cancer model fabrication using tissue engineering have addressed this unmet need. The self-organized and scaffold-based model has shown potential to study the cancer microenvironment and eventually bridge the gap between 2D cell culture and animal models. Recently, three-dimensional (3D) bioprinting has emerged as an exciting and novel biofabrication strategy aimed at developing a 3D compartmentalized hierarchical organization with the precise positioning of biomolecules, including living cells. In this review, we discuss the advancements in 3D culture techniques for the fabrication of cancer models, as well as their benefits and limitations. We also highlight future directions associated with technological advances, detailed applicative research, patient compliance, and regulatory challenges to achieve a successful bed-to-bench transition.
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Affiliation(s)
- Joana Rita Oliveira Faria Marques
- Oral Biology and Biochemistry Research Group (GIBBO), Unidade de Investigação em Ciências Orais e Biomédicas (UICOB), Faculdade de Medicina Dentária, Universidade de Lisboa, Lisboa, Portugal
| | - Patricia González-Alva
- Tissue Bioengineering Laboratory, Postgraduate Studies and Research Division, Faculty of Dentistry, National Autonomous University of Mexico (UNAM), 04510, Mexico, CDMX, Mexico
| | - Ruby Yu-Tong Lin
- Faculty of Dentistry, National University of Singapore, Singapore
| | - Beatriz Ferreira Fernandes
- Oral Biology and Biochemistry Research Group (GIBBO), Unidade de Investigação em Ciências Orais e Biomédicas (UICOB), Faculdade de Medicina Dentária, Universidade de Lisboa, Lisboa, Portugal
| | - Akhilanand Chaurasia
- Department of Oral Medicine, Faculty of Dental Sciences, King George's Medical University, Lucknow, Uttar Pradesh, India
| | - Nileshkumar Dubey
- Faculty of Dentistry, National University of Singapore, Singapore; ORCHIDS: Oral Care Health Innovations and Designs Singapore, National University of Singapore, Singapore.
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72
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Higginbottom SL, Tomaskovic-Crook E, Crook JM. Considerations for modelling diffuse high-grade gliomas and developing clinically relevant therapies. Cancer Metastasis Rev 2023; 42:507-541. [PMID: 37004686 PMCID: PMC10348989 DOI: 10.1007/s10555-023-10100-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/17/2022] [Accepted: 03/16/2023] [Indexed: 04/04/2023]
Abstract
Diffuse high-grade gliomas contain some of the most dangerous human cancers that lack curative treatment options. The recent molecular stratification of gliomas by the World Health Organisation in 2021 is expected to improve outcomes for patients in neuro-oncology through the development of treatments targeted to specific tumour types. Despite this promise, research is hindered by the lack of preclinical modelling platforms capable of recapitulating the heterogeneity and cellular phenotypes of tumours residing in their native human brain microenvironment. The microenvironment provides cues to subsets of glioma cells that influence proliferation, survival, and gene expression, thus altering susceptibility to therapeutic intervention. As such, conventional in vitro cellular models poorly reflect the varied responses to chemotherapy and radiotherapy seen in these diverse cellular states that differ in transcriptional profile and differentiation status. In an effort to improve the relevance of traditional modelling platforms, recent attention has focused on human pluripotent stem cell-based and tissue engineering techniques, such as three-dimensional (3D) bioprinting and microfluidic devices. The proper application of these exciting new technologies with consideration of tumour heterogeneity and microenvironmental interactions holds potential to develop more applicable models and clinically relevant therapies. In doing so, we will have a better chance of translating preclinical research findings to patient populations, thereby addressing the current derisory oncology clinical trial success rate.
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Affiliation(s)
- Sarah L Higginbottom
- Intelligent Polymer Research Institute, AIIM Facility, Innovation Campus, University of Wollongong, Fairy Meadow, NSW, 2519, Australia
- Arto Hardy Family Biomedical Innovation Hub, Chris O'Brien Lifehouse, Camperdown, NSW, 2050, Australia
| | - Eva Tomaskovic-Crook
- Intelligent Polymer Research Institute, AIIM Facility, Innovation Campus, University of Wollongong, Fairy Meadow, NSW, 2519, Australia.
- Arto Hardy Family Biomedical Innovation Hub, Chris O'Brien Lifehouse, Camperdown, NSW, 2050, Australia.
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, 2006, Australia.
| | - Jeremy M Crook
- Intelligent Polymer Research Institute, AIIM Facility, Innovation Campus, University of Wollongong, Fairy Meadow, NSW, 2519, Australia.
- Arto Hardy Family Biomedical Innovation Hub, Chris O'Brien Lifehouse, Camperdown, NSW, 2050, Australia.
- School of Medical Sciences, Faculty of Medicine and Health, The University of Sydney, Camperdown, NSW, 2006, Australia.
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73
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Kolesnik K, Segeritz P, Scott DJ, Rajagopal V, Collins DJ. Sub-wavelength acoustic stencil for tailored micropatterning. LAB ON A CHIP 2023; 23:2447-2457. [PMID: 37042175 DOI: 10.1039/d3lc00043e] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/17/2023]
Abstract
Acoustofluidic devices are ideal for biomedical micromanipulation applications, with high biocompatibility and the ability to generate force gradients down to the scale of cells. However, complex and designed patterning at the microscale remains challenging. In this work we report an acoustofluidic approach to direct particles and cells within a structured surface in arbitrary configurations. Wells, trenches and cavities are embedded in this surface. Combined with a half-wavelength acoustic field, together these form an 'acoustic stencil' where arbitrary cell and particle arrangements can be reversibly generated. Here a bulk-wavemode lithium niobate resonator generates multiplexed parallel patterning via a multilayer resonant geometry, where cell-scale resolution is accomplished via structured sub-wavelength microfeatures. Uniquely, this permits simultaneous manipulation in a unidirectional, device-spanning single-node field across scalable ∼cm2 areas in a microfluidic device. This approach is demonstrated via patterning of 5, 10 and 15 μm particles and 293-F cells in a variety of arrangements, where these activities are enabling for a range of cell studies and tissue engineering applications via the generation of highly complex and designed acoustic patterns at the microscale.
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Affiliation(s)
- Kirill Kolesnik
- Department of Biomedical Engineering, The University of Melbourne, Parkville, VIC 3010, Victoria, Australia.
| | - Philipp Segeritz
- Department of Biomedical Engineering, The University of Melbourne, Parkville, VIC 3010, Victoria, Australia.
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, 30 Royal Parade, Parkville, VIC 3052, Australia
| | - Daniel J Scott
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, 30 Royal Parade, Parkville, VIC 3052, Australia
- Department of Biochemistry and Pharmacology, The University of Melbourne, Parkville, VIC 3010, Australia
| | - Vijay Rajagopal
- Department of Biomedical Engineering, The University of Melbourne, Parkville, VIC 3010, Victoria, Australia.
| | - David J Collins
- Department of Biomedical Engineering, The University of Melbourne, Parkville, VIC 3010, Victoria, Australia.
- The Graeme Clark Institute, The University of Melbourne, Parkville, VIC, 3010, Australia
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74
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Foss A, Pathania M. Pediatric Glioma Models Provide Insights into Tumor Development and Future Therapeutic Strategies. Dev Neurosci 2023; 46:22-43. [PMID: 37231843 DOI: 10.1159/000531040] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2023] [Accepted: 05/09/2023] [Indexed: 05/27/2023] Open
Abstract
In depth study of pediatric gliomas has been hampered due to difficulties in accessing patient tissue and a lack of clinically representative tumor models. Over the last decade, however, profiling of carefully curated cohorts of pediatric tumors has identified genetic drivers that molecularly segregate pediatric gliomas from adult gliomas. This information has inspired the development of a new set of powerful in vitro and in vivo tumor models that can aid in identifying pediatric-specific oncogenic mechanisms and tumor microenvironment interactions. Single-cell analyses of both human tumors and these newly developed models have revealed that pediatric gliomas arise from spatiotemporally discrete neural progenitor populations in which developmental programs have become dysregulated. Pediatric high-grade gliomas also harbor distinct sets of co-segregating genetic and epigenetic alterations, often accompanied by unique features within the tumor microenvironment. The development of these novel tools and data resources has led to insights into the biology and heterogeneity of these tumors, including identification of distinctive sets of driver mutations, developmentally restricted cells of origin, recognizable patterns of tumor progression, characteristic immune environments, and tumor hijacking of normal microenvironmental and neural programs. As concerted efforts have broadened our understanding of these tumors, new therapeutic vulnerabilities have been identified, and for the first time, promising new strategies are being evaluated in the preclinical and clinical settings. Even so, dedicated and sustained collaborative efforts are necessary to refine our knowledge and bring these new strategies into general clinical use. In this review, we will discuss the range of currently available glioma models, the way in which they have each contributed to recent developments in the field, their benefits and drawbacks for addressing specific research questions, and their future utility in advancing biological understanding and treatment of pediatric glioma.
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Affiliation(s)
- Amelia Foss
- Department of Oncology and the Milner Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
- CRUK Children's Brain Tumour Centre of Excellence, University of Cambridge, Cambridge, UK
- Laboratory of Cell Biology, Center for Cancer Research, National Cancer Institute, National Institutes of Health, Bethesda, Maryland, USA
| | - Manav Pathania
- Department of Oncology and the Milner Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge, UK
- CRUK Children's Brain Tumour Centre of Excellence, University of Cambridge, Cambridge, UK
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75
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Sánchez-Salazar MG, Crespo-López Oliver R, Ramos-Meizoso S, Jerezano-Flores VS, Gallegos-Martínez S, Bolívar-Monsalve EJ, Ceballos-González CF, Trujillo-de Santiago G, Álvarez MM. 3D-Printed Tumor-on-Chip for the Culture of Colorectal Cancer Microspheres: Mass Transport Characterization and Anti-Cancer Drug Assays. Bioengineering (Basel) 2023; 10:bioengineering10050554. [PMID: 37237624 DOI: 10.3390/bioengineering10050554] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2023] [Revised: 04/20/2023] [Accepted: 04/22/2023] [Indexed: 05/28/2023] Open
Abstract
Tumor-on-chips have become an effective resource in cancer research. However, their widespread use remains limited due to issues related to their practicality in fabrication and use. To address some of these limitations, we introduce a 3D-printed chip, which is large enough to host ~1 cm3 of tissue and fosters well-mixed conditions in the liquid niche, while still enabling the formation of the concentration profiles that occur in real tissues due to diffusive transport. We compared the mass transport performance in its rhomboidal culture chamber when empty, when filled with GelMA/alginate hydrogel microbeads, or when occupied with a monolithic piece of hydrogel with a central channel, allowing communication between the inlet and outlet. We show that our chip filled with hydrogel microspheres in the culture chamber promotes adequate mixing and enhanced distribution of culture media. In proof-of-concept pharmacological assays, we biofabricated hydrogel microspheres containing embedded Caco2 cells, which developed into microtumors. Microtumors cultured in the device developed throughout the 10-day culture showing >75% of viability. Microtumors subjected to 5-fluorouracil treatment displayed <20% cell survival and lower VEGF-A and E-cadherin expression than untreated controls. Overall, our tumor-on-chip device proved suitable for studying cancer biology and performing drug response assays.
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Affiliation(s)
- Mónica Gabriela Sánchez-Salazar
- Centro de Biotecnología-FEMSA, Tecnológico de Monterrey, Campus Monterrey, Monterrey 64849, Mexico
- Departamento de Mecatrónica e Ingeniería Eléctrica, Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Monterrey 64849, Mexico
| | - Regina Crespo-López Oliver
- Centro de Biotecnología-FEMSA, Tecnológico de Monterrey, Campus Monterrey, Monterrey 64849, Mexico
- Departamento de Mecatrónica e Ingeniería Eléctrica, Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Monterrey 64849, Mexico
| | - Sofía Ramos-Meizoso
- Centro de Biotecnología-FEMSA, Tecnológico de Monterrey, Campus Monterrey, Monterrey 64849, Mexico
- Departamento de Mecatrónica e Ingeniería Eléctrica, Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Monterrey 64849, Mexico
| | - Valeri Sofía Jerezano-Flores
- Centro de Biotecnología-FEMSA, Tecnológico de Monterrey, Campus Monterrey, Monterrey 64849, Mexico
- Departamento de Mecatrónica e Ingeniería Eléctrica, Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Monterrey 64849, Mexico
| | - Salvador Gallegos-Martínez
- Centro de Biotecnología-FEMSA, Tecnológico de Monterrey, Campus Monterrey, Monterrey 64849, Mexico
- Departamento de Mecatrónica e Ingeniería Eléctrica, Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Monterrey 64849, Mexico
| | - Edna Johana Bolívar-Monsalve
- Centro de Biotecnología-FEMSA, Tecnológico de Monterrey, Campus Monterrey, Monterrey 64849, Mexico
- Departamento de Mecatrónica e Ingeniería Eléctrica, Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Monterrey 64849, Mexico
| | - Carlos Fernando Ceballos-González
- Centro de Biotecnología-FEMSA, Tecnológico de Monterrey, Campus Monterrey, Monterrey 64849, Mexico
- Departamento de Mecatrónica e Ingeniería Eléctrica, Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Monterrey 64849, Mexico
| | - Grissel Trujillo-de Santiago
- Centro de Biotecnología-FEMSA, Tecnológico de Monterrey, Campus Monterrey, Monterrey 64849, Mexico
- Departamento de Mecatrónica e Ingeniería Eléctrica, Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Monterrey 64849, Mexico
| | - Mario Moisés Álvarez
- Centro de Biotecnología-FEMSA, Tecnológico de Monterrey, Campus Monterrey, Monterrey 64849, Mexico
- Departamento de Mecatrónica e Ingeniería Eléctrica, Escuela de Ingeniería y Ciencias, Tecnológico de Monterrey, Monterrey 64849, Mexico
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76
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Padmakumar S, Amiji MM. Long-Acting Therapeutic Delivery Systems for the Treatment of Gliomas. Adv Drug Deliv Rev 2023; 197:114853. [PMID: 37149040 DOI: 10.1016/j.addr.2023.114853] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/21/2023] [Revised: 04/13/2023] [Accepted: 04/23/2023] [Indexed: 05/08/2023]
Abstract
Despite the emergence of cutting-edge therapeutic strategies and tremendous progress in research, a complete cure of glioma remains elusive. The heterogenous nature of tumor, immunosuppressive state and presence of blood brain barrier are few of the major obstacles in this regard. Long-acting depot formulations such as injectables and implantables are gaining attention for drug delivery to brain owing to their ease in administration and ability to elute drug locally for extended durations in a controlled manner with minimal toxicity. Hybrid matrices fabricated by incorporating nanoparticulates within such systems help to enhance pharmaceutical advantages. Utilization of long-acting depots as monotherapy or in conjunction with existing strategies rendered significant survival benefits in many preclinical studies and some clinical trials. The discovery of novel targets, immunotherapeutic strategies and alternative drug administration routes are now coupled with several long-acting systems with an ultimate aim to enhance patient survival and prevent glioma recurrences.
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Affiliation(s)
- Smrithi Padmakumar
- Department of Pharmaceutical Sciences, School of Pharmacy, Northeastern University, Boston, MA, 02115
| | - Mansoor M Amiji
- Department of Pharmaceutical Sciences, School of Pharmacy, Northeastern University, Boston, MA, 02115; Department of Chemical Engineering, College of Engineering, Northeastern University, Boston, MA, 02115.
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77
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Kang JH, Jang M, Seo SJ, Choi A, Shin D, Seo S, Lee SH, Kim HN. Mechanobiological Adaptation to Hyperosmolarity Enhances Barrier Function in Human Vascular Microphysiological System. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2206384. [PMID: 36808839 PMCID: PMC10161024 DOI: 10.1002/advs.202206384] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/01/2022] [Revised: 01/27/2023] [Indexed: 05/06/2023]
Abstract
In infectious disease such as sepsis and COVID-19, blood vessel leakage treatment is critical to prevent fatal progression into multi-organ failure and ultimately death, but the existing effective therapeutic modalities that improve vascular barrier function are limited. Here, this study reports that osmolarity modulation can significantly improve vascular barrier function, even in an inflammatory condition. 3D human vascular microphysiological systems and automated permeability quantification processes for high-throughput analysis of vascular barrier function are utilized. Vascular barrier function is enhanced by >7-folds with 24-48 h hyperosmotic exposure (time window of emergency care; >500 mOsm L-1 ) but is disrupted after hypo-osmotic exposure (<200 mOsm L-1 ). By integrating genetic and protein level analysis, it is shown that hyperosmolarity upregulates vascular endothelial-cadherin, cortical F-actin, and cell-cell junction tension, indicating that hyperosmotic adaptation mechanically stabilizes the vascular barrier. Importantly, improved vascular barrier function following hyperosmotic exposure is maintained even after chronic exposure to proinflammatory cytokines and iso-osmotic recovery via Yes-associated protein signaling pathways. This study suggests that osmolarity modulation may be a unique therapeutic strategy to proactively prevent infectious disease progression into severe stages via vascular barrier function protection.
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Affiliation(s)
- Joon Ho Kang
- Brain Science Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
| | - Minjeong Jang
- Brain Science Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
| | - Su Jin Seo
- Brain Science Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
- Department of Chemical Engineering, Kwangwoon University, Seoul, 01897, Republic of Korea
| | - Andrew Choi
- Brain Science Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
| | - Daeeun Shin
- Brain Science Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
- School of Mechanical Engineering, Sungkyunkwan University, Suwon, 16419, Republic of Korea
| | - Suyoung Seo
- Brain Science Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
- Program in Nano Science and Technology, Graduate School of Convergence Science and Technology, Seoul National University, Seoul, 08826, Republic of Korea
| | - Soo Hyun Lee
- Brain Science Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
- Division of Bio-Medical Science & Technology, KIST School, University of Science and Technology (UST), Seoul, 02792, Republic of Korea
| | - Hong Nam Kim
- Brain Science Institute, Korea Institute of Science and Technology, Seoul, 02792, Republic of Korea
- Division of Bio-Medical Science & Technology, KIST School, University of Science and Technology (UST), Seoul, 02792, Republic of Korea
- School of Mechanical Engineering, Yonsei University, Seoul, 03722, Republic of Korea
- Yonsei-KIST Convergence Research Institute, Yonsei University, Seoul, 03722, Republic of Korea
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78
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Jarrah R, Nathani KR, Bhandarkar S, Ezeudu CS, Nguyen RT, Amare A, Aljameey UA, Jarrah SI, Bhandarkar AR, Fiani B. Microfluidic 'brain-on chip' systems to supplement neurological practice: development, applications and considerations. Regen Med 2023; 18:413-423. [PMID: 37125510 DOI: 10.2217/rme-2022-0212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023] Open
Abstract
Among the greatest general challenges in bioengineering is to mimic human physiology. Advanced efforts in tissue engineering have led to sophisticated 'brain-on-chip' (BoC) microfluidic devices that can mimic structural and functional aspects of brain tissue. BoC may be used to understand the biochemical pathways of neurolgical pathologies and assess promising therapeutic agents for facilitating regenerative medicine. We evaluated the potential of microfluidic BoC devices in various neurological pathologies, such as Alzheimer's, glioblastoma, traumatic brain injury, stroke and epilepsy. We also discuss the principles, limitations and future considerations of BoC technology. Results suggest that BoC models can help understand complex neurological pathologies and augment drug testing efforts for regenerative applications. However, implementing organ-on-chip technology to clinical practice has some practical limitations that warrant greater attention to improve large-scale applicability. Nevertheless, they remain to be versatile and powerful tools that can broaden our understanding of pathophysiological and therapeutic uncertainties to neurological diseases.
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Affiliation(s)
- Ryan Jarrah
- Department of Neurosurgery, Mayo Clinic, Rochester, MN 55905, USA
| | | | - Shaan Bhandarkar
- Department of Neuroscience, Yale University, New Haven, CT 06510, USA
| | - Chibuze S Ezeudu
- Texas A&M School of Medicine,Texas A&M University, Bryan, TX 77807, USA
| | - Ryan T Nguyen
- University of Hawaii John A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, USA
| | - Abrham Amare
- Morehouse School of Medicine, Morehouse College, Atlanta, GA 30310, USA
| | - Usama A Aljameey
- Lincoln Memorial University DeBusk School of Osteopathic Medicine, Lincoln Memorial University, Knoxville, TN 37923, USA
| | - Sabrina I Jarrah
- Department of Neurology, University of Michigan, Ann Arbor, MI 48109, USA
| | | | - Brian Fiani
- Department of Neurosurgery, Cornell Medical Center/New York Presbyterian, New York, NY 10065, USA
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79
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Abstract
Tumor metastasis is a multiple cascade process where tumor cells disseminate from the primary site to distant organs and subsequently adapt to the foreign microenvironment. Simulating the physiology of tumor metastatic events in a realistic and three-dimensional (3D) manner is a challenge for in vitro modeling. 3D bioprinting strategies, which can generate well-customized and bionic structures, enable the exploration of dynamic tumor metastasis process in a species-homologous, high-throughput and reproducible way. In this review, we summarize the recent application of 3D bioprinting in constructing in vitro tumor metastatic models and discuss its advantages and current limitations. Further perspectives on how to harness the potential of accessible 3D bioprinting strategies to better model tumor metastasis and guide anti-cancer therapies are also provided.
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Affiliation(s)
- Manqing Lin
- Department of Respiratory Medicine, The Second Hospital, Dalian Medical University, Dalian 116023, China
| | - Mengyi Tang
- Department of Respiratory Medicine, The Second Hospital, Dalian Medical University, Dalian 116023, China
| | - Wenzhe Duan
- Department of Respiratory Medicine, The Second Hospital, Dalian Medical University, Dalian 116023, China
| | - Shengkai Xia
- Department of Respiratory Medicine, The Second Hospital, Dalian Medical University, Dalian 116023, China
| | - Wenwen Liu
- Cancer Translational Medicine Research Center, The Second Hospital, Dalian Medical University, Dalian 116023, China
| | - Qi Wang
- Department of Respiratory Medicine, The Second Hospital, Dalian Medical University, Dalian 116023, China
- Cancer Translational Medicine Research Center, The Second Hospital, Dalian Medical University, Dalian 116023, China
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80
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Zhe M, Wu X, Yu P, Xu J, Liu M, Yang G, Xiang Z, Xing F, Ritz U. Recent Advances in Decellularized Extracellular Matrix-Based Bioinks for 3D Bioprinting in Tissue Engineering. MATERIALS (BASEL, SWITZERLAND) 2023; 16:3197. [PMID: 37110034 PMCID: PMC10143913 DOI: 10.3390/ma16083197] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 02/24/2023] [Revised: 03/30/2023] [Accepted: 04/15/2023] [Indexed: 06/19/2023]
Abstract
In recent years, three-dimensional (3D) bioprinting has been widely utilized as a novel manufacturing technique by more and more researchers to construct various tissue substitutes with complex architectures and geometries. Different biomaterials, including natural and synthetic materials, have been manufactured into bioinks for tissue regeneration using 3D bioprinting. Among the natural biomaterials derived from various natural tissues or organs, the decellularized extracellular matrix (dECM) has a complex internal structure and a variety of bioactive factors that provide mechanistic, biophysical, and biochemical signals for tissue regeneration and remodeling. In recent years, more and more researchers have been developing the dECM as a novel bioink for the construction of tissue substitutes. Compared with other bioinks, the various ECM components in dECM-based bioink can regulate cellular functions, modulate the tissue regeneration process, and adjust tissue remodeling. Therefore, we conducted this review to discuss the current status of and perspectives on dECM-based bioinks for bioprinting in tissue engineering. In addition, the various bioprinting techniques and decellularization methods were also discussed in this study.
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Affiliation(s)
- Man Zhe
- Animal Experiment Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Xinyu Wu
- West China Hospital of Stomatology, Sichuan University, Chengdu 610041, China
| | - Peiyun Yu
- LIMES Institute, Department of Molecular Brain Physiology and Behavior, University of Bonn, Carl-Troll-Str. 31, 53115 Bonn, Germany
| | - Jiawei Xu
- Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Ming Liu
- Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Guang Yang
- Animal Experiment Center, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Zhou Xiang
- Orthopedic Research Institute, Department of Orthopedics, West China Hospital, Sichuan University, Chengdu 610041, China
| | - Fei Xing
- Department of Orthopaedics and Traumatology, Biomatics Group, University Medical Center of the Johannes Gutenberg University, Langenbeckstr. 1, 55131 Mainz, Germany
| | - Ulrike Ritz
- Department of Orthopaedics and Traumatology, Biomatics Group, University Medical Center of the Johannes Gutenberg University, Langenbeckstr. 1, 55131 Mainz, Germany
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81
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Erices JI, Bizama C, Niechi I, Uribe D, Rosales A, Fabres K, Navarro-Martínez G, Torres Á, San Martín R, Roa JC, Quezada-Monrás C. Glioblastoma Microenvironment and Invasiveness: New Insights and Therapeutic Targets. Int J Mol Sci 2023; 24:ijms24087047. [PMID: 37108208 PMCID: PMC10139189 DOI: 10.3390/ijms24087047] [Citation(s) in RCA: 14] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 02/03/2023] [Accepted: 02/06/2023] [Indexed: 04/29/2023] Open
Abstract
Glioblastoma (GBM) is the most common and malignant primary brain cancer in adults. Without treatment the mean patient survival is approximately 6 months, which can be extended to 15 months with the use of multimodal therapies. The low effectiveness of GBM therapies is mainly due to the tumor infiltration into the healthy brain tissue, which depends on GBM cells' interaction with the tumor microenvironment (TME). The interaction of GBM cells with the TME involves cellular components such as stem-like cells, glia, endothelial cells, and non-cellular components such as the extracellular matrix, enhanced hypoxia, and soluble factors such as adenosine, which promote GBM's invasiveness. However, here we highlight the role of 3D patient-derived glioblastoma organoids cultures as a new platform for study of the modeling of TME and invasiveness. In this review, the mechanisms involved in GBM-microenvironment interaction are described and discussed, proposing potential prognosis biomarkers and new therapeutic targets.
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Affiliation(s)
- José Ignacio Erices
- Laboratorio de Biología Tumoral, Instituto de Bioquímica y Microbiología, Universidad Austral de Chile, Valdivia 5090000, Chile
- Millennium Institute on Immunology and Immunotherapy, Universidad Austral de Chile, Valdivia 5090000, Chile
| | - Carolina Bizama
- Department of Pathology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile
- Millennium Institute on Immunology and Immunotherapy, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
| | - Ignacio Niechi
- Laboratorio de Biología Tumoral, Instituto de Bioquímica y Microbiología, Universidad Austral de Chile, Valdivia 5090000, Chile
- Millennium Institute on Immunology and Immunotherapy, Universidad Austral de Chile, Valdivia 5090000, Chile
| | - Daniel Uribe
- Laboratorio de Biología Tumoral, Instituto de Bioquímica y Microbiología, Universidad Austral de Chile, Valdivia 5090000, Chile
| | - Arnaldo Rosales
- Laboratorio de Biología Tumoral, Instituto de Bioquímica y Microbiología, Universidad Austral de Chile, Valdivia 5090000, Chile
- Millennium Institute on Immunology and Immunotherapy, Universidad Austral de Chile, Valdivia 5090000, Chile
| | - Karen Fabres
- Laboratorio de Biología Tumoral, Instituto de Bioquímica y Microbiología, Universidad Austral de Chile, Valdivia 5090000, Chile
| | - Giovanna Navarro-Martínez
- Laboratorio de Biología Tumoral, Instituto de Bioquímica y Microbiología, Universidad Austral de Chile, Valdivia 5090000, Chile
- Millennium Institute on Immunology and Immunotherapy, Universidad Austral de Chile, Valdivia 5090000, Chile
| | - Ángelo Torres
- Escuela de Medicina Veterinaria, Facultad de Recursos Naturales y Medicina Veterinaria, Universidad Santo Tomás, Talca 8370003, Chile
| | - Rody San Martín
- Laboratorio de Patología Molecular, Instituto de Bioquímica y Microbiología, Universidad Austral de Chile, Valdivia 5090000, Chile
| | - Juan Carlos Roa
- Department of Pathology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago 8330024, Chile
- Millennium Institute on Immunology and Immunotherapy, Pontificia Universidad Católica de Chile, Santiago 8331150, Chile
| | - Claudia Quezada-Monrás
- Laboratorio de Biología Tumoral, Instituto de Bioquímica y Microbiología, Universidad Austral de Chile, Valdivia 5090000, Chile
- Millennium Institute on Immunology and Immunotherapy, Universidad Austral de Chile, Valdivia 5090000, Chile
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82
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Tsai HF, Podder S, Chen PY. Microsystem Advances through Integration with Artificial Intelligence. MICROMACHINES 2023; 14:826. [PMID: 37421059 DOI: 10.3390/mi14040826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/09/2023] [Revised: 04/04/2023] [Accepted: 04/06/2023] [Indexed: 07/09/2023]
Abstract
Microfluidics is a rapidly growing discipline that involves studying and manipulating fluids at reduced length scale and volume, typically on the scale of micro- or nanoliters. Under the reduced length scale and larger surface-to-volume ratio, advantages of low reagent consumption, faster reaction kinetics, and more compact systems are evident in microfluidics. However, miniaturization of microfluidic chips and systems introduces challenges of stricter tolerances in designing and controlling them for interdisciplinary applications. Recent advances in artificial intelligence (AI) have brought innovation to microfluidics from design, simulation, automation, and optimization to bioanalysis and data analytics. In microfluidics, the Navier-Stokes equations, which are partial differential equations describing viscous fluid motion that in complete form are known to not have a general analytical solution, can be simplified and have fair performance through numerical approximation due to low inertia and laminar flow. Approximation using neural networks trained by rules of physical knowledge introduces a new possibility to predict the physicochemical nature. The combination of microfluidics and automation can produce large amounts of data, where features and patterns that are difficult to discern by a human can be extracted by machine learning. Therefore, integration with AI introduces the potential to revolutionize the microfluidic workflow by enabling the precision control and automation of data analysis. Deployment of smart microfluidics may be tremendously beneficial in various applications in the future, including high-throughput drug discovery, rapid point-of-care-testing (POCT), and personalized medicine. In this review, we summarize key microfluidic advances integrated with AI and discuss the outlook and possibilities of combining AI and microfluidics.
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Affiliation(s)
- Hsieh-Fu Tsai
- Department of Biomedical Engineering, Chang Gung University, Taoyuan City 333, Taiwan
- Department of Neurosurgery, Chang Gung Memorial Hospital, Keelung, Keelung City 204, Taiwan
- Center for Biomedical Engineering, Chang Gung University, Taoyuan City 333, Taiwan
| | - Soumyajit Podder
- Department of Biomedical Engineering, Chang Gung University, Taoyuan City 333, Taiwan
| | - Pin-Yuan Chen
- Department of Biomedical Engineering, Chang Gung University, Taoyuan City 333, Taiwan
- Department of Neurosurgery, Chang Gung Memorial Hospital, Keelung, Keelung City 204, Taiwan
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83
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Pérez-López A, Isabel Torres-Suárez A, Martín-Sabroso C, Aparicio-Blanco J. An overview of in vitro 3D models of the blood-brain barrier as a tool to predict the in vivo permeability of nanomedicines. Adv Drug Deliv Rev 2023; 196:114816. [PMID: 37003488 DOI: 10.1016/j.addr.2023.114816] [Citation(s) in RCA: 18] [Impact Index Per Article: 18.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/31/2023] [Revised: 03/21/2023] [Accepted: 03/27/2023] [Indexed: 04/03/2023]
Abstract
The blood-brain barrier (BBB) prevents efficient drug delivery to the central nervous system. As a result, brain diseases remain one of the greatest unmet medical needs. Understanding the tridimensional structure of the BBB helps gain insight into the pathology of the BBB and contributes to the development of novel therapies for brain diseases. Therefore, 3D models with an ever-growing sophisticated complexity are being developed to closely mimic the human neurovascular unit. Among these 3D models, hydrogel-, spheroid- and organoid-based static BBB models have been developed, and so have microfluidic-based BBB-on-a-chip models. The different 3D preclinical models of the BBB, both in health and disease, are here reviewed, from their development to their application for permeability testing of nanomedicines across the BBB, discussing the advantages and disadvantages of each model. The validation with data from in vivo preclinical data is also discussed in those cases where provided.
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Affiliation(s)
- Alexandre Pérez-López
- Department of Pharmaceutics and Food Technology, Faculty of Pharmacy, Complutense University of Madrid, Madrid, Spain
| | - Ana Isabel Torres-Suárez
- Department of Pharmaceutics and Food Technology, Faculty of Pharmacy, Complutense University of Madrid, Madrid, Spain; Institute of Industrial Pharmacy, Complutense University of Madrid, Madrid, Spain.
| | - Cristina Martín-Sabroso
- Department of Pharmaceutics and Food Technology, Faculty of Pharmacy, Complutense University of Madrid, Madrid, Spain; Institute of Industrial Pharmacy, Complutense University of Madrid, Madrid, Spain
| | - Juan Aparicio-Blanco
- Department of Pharmaceutics and Food Technology, Faculty of Pharmacy, Complutense University of Madrid, Madrid, Spain; Institute of Industrial Pharmacy, Complutense University of Madrid, Madrid, Spain.
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84
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Lab-on-a-chip systems for cancer biomarker diagnosis. J Pharm Biomed Anal 2023; 226:115266. [PMID: 36706542 DOI: 10.1016/j.jpba.2023.115266] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2022] [Revised: 01/20/2023] [Accepted: 01/20/2023] [Indexed: 01/22/2023]
Abstract
Lab-on-a-chip (LOC) or micro total analysis system is one of the microfluidic technologies defined as the adaptation, miniaturization, integration, and automation of analytical laboratory procedures into a single instrument or "chip". In this article, we review developments over the past five years in the application of LOC biosensors for the detection of different types of cancer. Microfluidics encompasses chemistry and biotechnology skills and has revolutionized healthcare diagnosis. Superior to traditional cell culture or animal models, microfluidic technology has made it possible to reconstruct functional units of organs on chips to study human diseases such as cancer. LOCs have found numerous biomedical applications over the past five years, including integrated bioassays, cell analysis, metabolomics, drug discovery and delivery systems, tissue and organ physiology and disease modeling, and personalized medicine. This review provides an overview of the latest developments in microfluidic-based cancer research, with pros, cons, and prospects.
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85
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Liu H, Gong Y, Zhang K, Ke S, Wang Y, Wang J, Wang H. Recent Advances in Decellularized Matrix-Derived Materials for Bioink and 3D Bioprinting. Gels 2023; 9:gels9030195. [PMID: 36975644 PMCID: PMC10048399 DOI: 10.3390/gels9030195] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2022] [Revised: 02/28/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023] Open
Abstract
As an emerging 3D printing technology, 3D bioprinting has shown great potential in tissue engineering and regenerative medicine. Decellularized extracellular matrices (dECM) have recently made significant research strides and have been used to create unique tissue-specific bioink that can mimic biomimetic microenvironments. Combining dECMs with 3D bioprinting may provide a new strategy to prepare biomimetic hydrogels for bioinks and hold the potential to construct tissue analogs in vitro, similar to native tissues. Currently, the dECM has been proven to be one of the fastest growing bioactive printing materials and plays an essential role in cell-based 3D bioprinting. This review introduces the methods of preparing and identifying dECMs and the characteristic requirements of bioink for use in 3D bioprinting. The most recent advances in dECM-derived bioactive printing materials are then thoroughly reviewed by examining their application in the bioprinting of different tissues, such as bone, cartilage, muscle, the heart, the nervous system, and other tissues. Finally, the potential of bioactive printing materials generated from dECM is discussed.
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Affiliation(s)
- Huaying Liu
- College of Life Sciences and Bioengineering, School of Physical Science and Engineering, Beijing Jiaotong University, Beijing 100091, China
| | - Yuxuan Gong
- College of Life Sciences and Bioengineering, School of Physical Science and Engineering, Beijing Jiaotong University, Beijing 100091, China
| | - Kaihui Zhang
- College of Life Sciences and Bioengineering, School of Physical Science and Engineering, Beijing Jiaotong University, Beijing 100091, China
- College of Life Sciences, Inner Mongolia University, Hohhot 010070, China
| | - Shen Ke
- College of Life Sciences and Bioengineering, School of Physical Science and Engineering, Beijing Jiaotong University, Beijing 100091, China
| | - Yue Wang
- National Institutes for Food and Drug Control, Beijing 102629, China
| | - Jing Wang
- State Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing 100850, China
- Correspondence: (J.W.); (H.W.)
| | - Haibin Wang
- College of Life Sciences and Bioengineering, School of Physical Science and Engineering, Beijing Jiaotong University, Beijing 100091, China
- Correspondence: (J.W.); (H.W.)
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86
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Wang C, Zhao Q, Zheng X, Li S, Chen J, Zhao H, Chen F, Cui L, Li W. Decellularized brain extracellular matrix slice glioblastoma culture model recapitulates the interaction between cells and the extracellular matrix without a nutrient-oxygen gradient interference. Acta Biomater 2023; 158:132-150. [PMID: 36565784 DOI: 10.1016/j.actbio.2022.12.044] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Revised: 12/16/2022] [Accepted: 12/20/2022] [Indexed: 12/24/2022]
Abstract
Decellularized extracellular matrix (dECM) is a valuable tool for generating three-dimensional in vitro tumor models that effectively recapitulate tumor-extracellular matrix (ECM) interactions. However, in current culture models, the components and structures of dECM are enzymatically disrupted to form hydrogels, making it difficult to recapitulate the native ECM. Additionally, when studying ECM-cell interactions, large-volume tumor culture models are incompatible with traditional experimental techniques and the nutrient-oxygen concentration gradient, which is a significant confounding factor. To address these issues, we developed a decellularized brain extracellular matrix slice (dBECMS) glioblastoma (GBM) culture model. This model possesses good light transmittance and substance diffusivity, making it compatible with traditional experimental techniques without forming nutrient-oxygen concentration gradients. Through transcriptomic analysis, we found that native brain ECM has a broad impact on glioma cells; the impact involves the ECM-ECM receptor interactions and the ECM and metabolic reprogramming. Further experiments demonstrated that dBECMS promoted glucose consumption and lactate production in GBM cells. Silver staining experiments revealed abundant proteins in the media of dBECMS, suggesting the degradation of the brain ECM by GBM cells. Transcriptome analysis also showed that the dBECMS-GBM culture model more accurately recapitulated the transcriptional profile of GBM than the two-dimensional culture. We experimentally demonstrated that the dBECMS-GBM model enhanced the resistance of GBM cells to temozolomide and increased the stemness of GBM cells. Additionally, we demonstrated the feasibility of the dBECMS-GBM model as a platform for drug response modeling. STATEMENT OF SIGNIFICANCE: The decellularized brain extracellular matrix (ECM) slice glioblastoma culture model mimics the interaction between native brain ECM and glioblastoma when glioblastoma infiltrates the brain and reveals the effects of native brain ECM on glioblastoma metabolism, ECM reprogramming, drug responsiveness, and stemness.
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Affiliation(s)
- Can Wang
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Qiannan Zhao
- Evidence Based Medicine Center, Xuanwu Hospital of Capital Medical University, Xicheng District, Beijing 100053, China
| | - Xiaohong Zheng
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Shenglan Li
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Jinyi Chen
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Hanyun Zhao
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Feng Chen
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China
| | - Lei Cui
- Department of Plastic Surgery, Beijing Shijitan Hospital, Capital Medical University, Beijing 100038, China; Key Laboratory of spine and spinal cord injury repair and regeneration, Ministry of Education of the People's Republic of China & Department of Orthopedics, Tongji Hospital, Tongji University School of Medicine, Shanghai 200062, China.
| | - Wenbin Li
- Department of Neuro-oncology, Cancer Center, Beijing Tiantan Hospital, Capital Medical University, Beijing 100071, China.
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87
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Amir S, Arathi A, Reshma S, Mohanan PV. Microfluidic devices for the detection of disease-specific proteins and other macromolecules, disease modelling and drug development: A review. Int J Biol Macromol 2023; 235:123784. [PMID: 36822284 DOI: 10.1016/j.ijbiomac.2023.123784] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2022] [Revised: 02/15/2023] [Accepted: 02/16/2023] [Indexed: 02/25/2023]
Abstract
Microfluidics is a revolutionary technology that has promising applications in the biomedical field.Integrating microfluidic technology with the traditional assays unravels the innumerable possibilities for translational biomedical research. Microfluidics has the potential to build up a novel platform for diagnosis and therapy through precise manipulation of fluids and enhanced throughput functions. The developments in microfluidics-based devices for diagnostics have evolved in the last decade and have been established for their rapid, effective, accurate and economic advantages. The efficiency and sensitivity of such devices to detect disease-specific macromolecules like proteins and nucleic acids have made crucial impacts in disease diagnosis. The disease modelling using microfluidic systems provides a more prominent replication of the in vivo microenvironment and can be a better alternative for the existing disease models. These models can replicate critical microphysiology like the dynamic microenvironment, cellular interactions, and biophysical and biochemical cues. Microfluidics also provides a promising system for high throughput drug screening and delivery applications. However, microfluidics-based diagnostics still encounter related challenges in the reliability, real-time monitoring and reproducibility that circumvents this technology from being impacted in the healthcare industry. This review highlights the recent microfluidics developments for modelling and diagnosing common diseases, including cancer, neurological, cardiovascular, respiratory and autoimmune disorders, and its applications in drug development.
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Affiliation(s)
- S Amir
- Toxicology Division, Biomedical Technology Wing, Sree Chitra Tirunal Institute for Medical Sciences and Technology (Govt. of India), Poojapura, Trivandrum 695 012, Kerala, India
| | - A Arathi
- Toxicology Division, Biomedical Technology Wing, Sree Chitra Tirunal Institute for Medical Sciences and Technology (Govt. of India), Poojapura, Trivandrum 695 012, Kerala, India
| | - S Reshma
- Toxicology Division, Biomedical Technology Wing, Sree Chitra Tirunal Institute for Medical Sciences and Technology (Govt. of India), Poojapura, Trivandrum 695 012, Kerala, India
| | - P V Mohanan
- Toxicology Division, Biomedical Technology Wing, Sree Chitra Tirunal Institute for Medical Sciences and Technology (Govt. of India), Poojapura, Trivandrum 695 012, Kerala, India.
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88
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Direct Cell Reprogramming and Phenotypic Conversion: An Analysis of Experimental Attempts to Transform Astrocytes into Neurons in Adult Animals. Cells 2023; 12:cells12040618. [PMID: 36831283 PMCID: PMC9954435 DOI: 10.3390/cells12040618] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 02/06/2023] [Accepted: 02/09/2023] [Indexed: 02/17/2023] Open
Abstract
Central nervous system (CNS) repair after injury or disease remains an unresolved problem in neurobiology research and an unmet medical need. Directly reprogramming or converting astrocytes to neurons (AtN) in adult animals has been investigated as a potential strategy to facilitate brain and spinal cord recovery and advance fundamental biology. Conceptually, AtN strategies rely on forced expression or repression of lineage-specific transcription factors to make endogenous astrocytes become "induced neurons" (iNs), presumably without re-entering any pluripotent or multipotent states. The AtN-derived cells have been reported to manifest certain neuronal functions in vivo. However, this approach has raised many new questions and alternative explanations regarding the biological features of the end products (e.g., iNs versus neuron-like cells, neural functional changes, etc.), developmental biology underpinnings, and neurobiological essentials. For this paper per se, we proposed to draw an unconventional distinction between direct cell conversion and direct cell reprogramming, relative to somatic nuclear transfer, based on the experimental methods utilized to initiate the transformation process, aiming to promote a more in-depth mechanistic exploration. Moreover, we have summarized the current tactics employed for AtN induction, comparisons between the bench endeavors concerning outcome tangibility, and discussion of the issues of published AtN protocols. Lastly, the urgency to clearly define/devise the theoretical frameworks, cell biological bases, and bench specifics to experimentally validate primary data of AtN studies was highlighted.
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89
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Ngo H, Amartumur S, Tran VTA, Tran M, Diep YN, Cho H, Lee LP. In Vitro Tumor Models on Chip and Integrated Microphysiological Analysis Platform (MAP) for Life Sciences and High-Throughput Drug Screening. BIOSENSORS 2023; 13:231. [PMID: 36831997 PMCID: PMC9954135 DOI: 10.3390/bios13020231] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/23/2023] [Accepted: 01/31/2023] [Indexed: 06/18/2023]
Abstract
The evolution of preclinical in vitro cancer models has led to the emergence of human cancer-on-chip or microphysiological analysis platforms (MAPs). Although it has numerous advantages compared to other models, cancer-on-chip technology still faces several challenges such as the complexity of the tumor microenvironment and integrating multiple organs to be widely accepted in cancer research and therapeutics. In this review, we highlight the advancements in cancer-on-chip technology in recapitulating the vital biological features of various cancer types and their applications in life sciences and high-throughput drug screening. We present advances in reconstituting the tumor microenvironment and modeling cancer stages in breast, brain, and other types of cancer. We also discuss the relevance of MAPs in cancer modeling and precision medicine such as effect of flow on cancer growth and the short culture period compared to clinics. The advanced MAPs provide high-throughput platforms with integrated biosensors to monitor real-time cellular responses applied in drug development. We envision that the integrated cancer MAPs has a promising future with regard to cancer research, including cancer biology, drug discovery, and personalized medicine.
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Affiliation(s)
- Huyen Ngo
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Sarnai Amartumur
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Van Thi Ai Tran
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Minh Tran
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Yen N. Diep
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Hansang Cho
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Luke P. Lee
- Institute of Quantum Biophysics, Sungkyunkwan University, Suwon 16419, Republic of Korea
- Department of Medicine, Harvard Medical School, Brigham and Women’s Hospital, Boston, MA 02115, USA
- Department of Bioengineering, University of California at Berkeley, Berkeley, CA 94720, USA
- Department of Electrical Engineering and Computer Science, University of California at Berkeley, Berkeley, CA 94720, USA
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90
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Kurawattimath V, Wilson B, Geetha KM. Nanoparticle-based drug delivery across the blood-brain barrier for treating malignant brain glioma. OPENNANO 2023. [DOI: 10.1016/j.onano.2023.100128] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 02/18/2023]
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91
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Wanigasekara J, Cullen PJ, Bourke P, Tiwari B, Curtin JF. Advances in 3D culture systems for therapeutic discovery and development in brain cancer. Drug Discov Today 2023; 28:103426. [PMID: 36332834 DOI: 10.1016/j.drudis.2022.103426] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2022] [Revised: 10/07/2022] [Accepted: 10/27/2022] [Indexed: 11/06/2022]
Abstract
This review focuses on recent advances in 3D culture systems that promise more accurate therapeutic models of the glioblastoma multiforme (GBM) tumor microenvironment (TME), such as the unique anatomical, cellular, and molecular features evident in human GBM. The key components of a GBM TME are outlined, including microbiomes, vasculature, extracellular matrix (ECM), infiltrating parenchymal and peripheral immune cells and molecules, and chemical gradients. 3D culture systems are evaluated against 2D culture systems and in vivo animal models. The main 3D culture techniques available are compared, with an emphasis on identifying key gaps in knowledge for the development of suitable platforms to accurately model the intricate components of the GBM TME.
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Affiliation(s)
- Janith Wanigasekara
- BioPlasma Research Group, School of Food Science and Environmental Health, Technological University Dublin, Dublin, Ireland; Environmental Sustainability and Health Institute (ESHI), Technological University Dublin, Dublin, Ireland; Department of Food Biosciences, Teagasc Food Research Centre, Ashtown, Dublin, Ireland; FOCAS Research Institute, Technological University Dublin, Dublin, Ireland.
| | - Patrick J Cullen
- School of Chemical and Biomolecular Engineering, University of Sydney, Sydney, Australia
| | - Paula Bourke
- School of Biosystems and Food Engineering, University College Dublin, Dublin, Ireland
| | - Brijesh Tiwari
- Department of Food Biosciences, Teagasc Food Research Centre, Ashtown, Dublin, Ireland
| | - James F Curtin
- BioPlasma Research Group, School of Food Science and Environmental Health, Technological University Dublin, Dublin, Ireland; Environmental Sustainability and Health Institute (ESHI), Technological University Dublin, Dublin, Ireland; FOCAS Research Institute, Technological University Dublin, Dublin, Ireland; Faculty of Engineering and Built Environment, Technological University Dublin, Dublin, Ireland.
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92
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Cadamuro F, Nicotra F, Russo L. 3D printed tissue models: From hydrogels to biomedical applications. J Control Release 2023; 354:726-745. [PMID: 36682728 DOI: 10.1016/j.jconrel.2023.01.048] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 01/09/2023] [Accepted: 01/16/2023] [Indexed: 01/24/2023]
Abstract
The development of new advanced constructs resembling structural and functional properties of human organs and tissues requires a deep knowledge of the morphological and biochemical properties of the extracellular matrices (ECM), and the capacity to reproduce them. Manufacturing technologies like 3D printing and bioprinting represent valuable tools for this purpose. This review will describe how morphological and biochemical properties of ECM change in different tissues, organs, healthy and pathological states, and how ECM mimics with the required properties can be generated by 3D printing and bioprinting. The review describes and classifies the polymeric materials of natural and synthetic origin exploited to generate the hydrogels acting as "inks" in the 3D printing process, with particular emphasis on their functionalization allowing crosslinking and conjugation with signaling molecules to develop bio-responsive and bio-instructive ECM mimics.
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Affiliation(s)
- Francesca Cadamuro
- University of Milano-Bicocca, Department of Biotechnology and Biosciences, Piazza della Scienza 2, 20126 Milano, Italy
| | - Francesco Nicotra
- University of Milano-Bicocca, Department of Biotechnology and Biosciences, Piazza della Scienza 2, 20126 Milano, Italy
| | - Laura Russo
- University of Milano-Bicocca, Department of Biotechnology and Biosciences, Piazza della Scienza 2, 20126 Milano, Italy; CÚRAM, SFI Research Centre for Medical Devices, University of Galway, H91 W2TY Galway, Ireland.
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93
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Wang Y, Gao Y, Pan Y, Zhou D, Liu Y, Yin Y, Yang J, Wang Y, Song Y. Emerging trends in organ-on-a-chip systems for drug screening. Acta Pharm Sin B 2023. [DOI: 10.1016/j.apsb.2023.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/17/2023] Open
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94
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Tronolone JJ, Mathur T, Chaftari CP, Jain A. Evaluation of the morphological and biological functions of vascularized microphysiological systems with supervised machine learning. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.01.12.523755. [PMID: 36711458 PMCID: PMC9882172 DOI: 10.1101/2023.01.12.523755] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Vascularized microphysiological systems and organoids are contemporary preclinical experimental platforms representing human tissue or organ function in health and disease. While vascularization is emerging as a necessary physiological organ-level feature required in most such systems, there is no standard tool or morphological metric to measure the performance or biological function of vascularized networks within these models. Further, the commonly reported morphological metrics may not correlate to the network's biological function - oxygen transport. Here, a large library of vascular network images was analyzed by the measure of each sample's morphology and oxygen transport potential. The oxygen transport quantification is computationally expensive and user-dependent, so machine learning techniques were examined to generate regression models relating morphology to function. Principal component and factor analyses were applied to reduce dimensionality of the multivariate dataset, followed by multiple linear regression and tree-based regression analyses. These examinations reveal that while several morphological data relate poorly to the biological function, some machine learning models possess a relatively improved, but still moderate predictive potential. Overall, random forest regression model correlates to the biological function of vascular networks with relatively higher accuracy than other regression models.
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95
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Miserocchi G, Bocchini M, Cortesi M, Arienti C, De Vita A, Liverani C, Mercatali L, Bravaccini S, Ulivi P, Zanoni M. Combining preclinical tools and models to unravel tumor complexity: Jump into the next dimension. Front Immunol 2023; 14:1171141. [PMID: 37033986 PMCID: PMC10080004 DOI: 10.3389/fimmu.2023.1171141] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/21/2023] [Accepted: 03/10/2023] [Indexed: 04/11/2023] Open
Abstract
Tumors are complex and heterogeneous diseases characterized by an intricate milieu and dynamically in connection with surrounding and distant tissues. In the last decades, great efforts have been made to develop novel preclinical models able to recapitulate the original features of tumors. However, the development of an in vitro functional and realistic tumor organ is still utopic and represents one of the major challenges to reproduce the architecture of the tumor ecosystem. A strategy to decrypt the whole picture and predict its behavior could be started from the validation of simplified biomimetic systems and then proceed with their integration. Variables such as the cellular and acellular composition of tumor microenvironment (TME) and its spatio-temporal distribution have to be considered in order to respect the dynamic evolution of the oncologic disease. In this perspective, we aim to explore the currently available strategies to improve and integrate in vitro and in vivo models, such as three-dimensional (3D) cultures, organoids, and zebrafish, in order to better understand the disease biology and improve the therapeutic approaches.
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Affiliation(s)
- Giacomo Miserocchi
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
- *Correspondence: Giacomo Miserocchi, ; Michele Zanoni,
| | - Martine Bocchini
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Michela Cortesi
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Chiara Arienti
- Osteoncology and Rare Tumors Center, Immunotherapy, Cell Therapy and Biobank, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Alessandro De Vita
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Chiara Liverani
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Laura Mercatali
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Sara Bravaccini
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Paola Ulivi
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
| | - Michele Zanoni
- Biosciences Laboratory, IRCCS Istituto Romagnolo per lo Studio dei Tumori (IRST) “Dino Amadori”, Meldola, Italy
- *Correspondence: Giacomo Miserocchi, ; Michele Zanoni,
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96
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Hassanzadeh P, Atyabi F, Dinarvand R. Technical and engineering considerations for designing therapeutics and delivery systems. J Control Release 2023; 353:411-422. [PMID: 36470331 DOI: 10.1016/j.jconrel.2022.11.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2022] [Revised: 11/29/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022]
Abstract
The newly-emerged pathological conditions and increased rates of drug resistance necessitate application of the state-of-the-art technologies for accelerated discovery of the therapeutic candidates and obtaining comprehensive knowledge about their targets, action mechanisms, and interactions within the body including those between the receptors and drugs. Using the physics- and chemistry-based modern techniques for theranostic purposes, preparing smart carriers, local delivery of genes or drugs, and enhancing pharmaceutical bioavailability could be of great value against the hard-to-treat diseases and growing drug resistance. Besides the artificial intelligence- and quantum-based techniques, crystal engineering capable of designing new molecules with appropriate characteristics, improving the stability and bioavailability of poorly soluble drugs, and efficient carrier development could play a crucial role in manufacturing efficient pharmaceuticals and reducing the adverse events. In this context, identifying the structures and behaviors of crystals and predicting their characteristics are of great value. Electron diffraction by accelerated analysis of the chemicals and sensitivity to charge alterations, electromechanical tools for controlled delivery of therapeutics, mechatronics via fabrication of multi-functional smart products including the organ-on-chip devices for healthcare applications, and optomechatronics by overcoming the limitations of conventional biomedical techniques could address the unmet biomedical requirements and facilitate development of more effective theranostics with improved outcomes.
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Affiliation(s)
- Parichehr Hassanzadeh
- Nanotechnology Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran 13169-43551, Iran; Sasan Hospital, Tehran 14159-83391, Iran.
| | - Fatemeh Atyabi
- Nanotechnology Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran 13169-43551, Iran
| | - Rassoul Dinarvand
- Nanotechnology Research Center, Faculty of Pharmacy, Tehran University of Medical Sciences, Tehran 13169-43551, Iran
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Weth FR, Peng L, Paterson E, Tan ST, Gray C. Utility of the Cerebral Organoid Glioma 'GLICO' Model for Screening Applications. Cells 2022; 12:cells12010153. [PMID: 36611949 PMCID: PMC9818141 DOI: 10.3390/cells12010153] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 12/23/2022] [Accepted: 12/27/2022] [Indexed: 01/03/2023] Open
Abstract
Glioblastoma, a grade IV astrocytoma, is regarded as the most aggressive primary brain tumour with an overall median survival of 16.0 months following the standard treatment regimen of surgical resection, followed by radiotherapy and chemotherapy with temozolomide. Despite such intensive treatment, the tumour almost invariably recurs. This poor prognosis has most commonly been attributed to the initiation, propagation, and differentiation of cancer stem cells. Despite the unprecedented advances in biomedical research over the last decade, the current in vitro models are limited at preserving the inter- and intra-tumoural heterogeneity of primary tumours. The ability to understand and manipulate complex cancers such as glioblastoma requires disease models to be clinically and translationally relevant and encompass the cellular heterogeneity of such cancers. Therefore, brain cancer research models need to aim to recapitulate glioblastoma stem cell function, whilst remaining amenable for analysis. Fortunately, the recent development of 3D cultures has overcome some of these challenges, and cerebral organoids are emerging as cutting-edge tools in glioblastoma research. The opportunity to generate cerebral organoids via induced pluripotent stem cells, and to perform co-cultures with patient-derived cancer stem cells (GLICO model), has enabled the analysis of cancer development in a context that better mimics brain tissue architecture. In this article, we review the recent literature on the use of patient-derived glioblastoma organoid models and their applicability for drug screening, as well as provide a potential workflow for screening using the GLICO model. The proposed workflow is practical for use in most laboratories with accessible materials and equipment, a good first pass, and no animal work required. This workflow is also amenable for analysis, with separate measures of invasion, growth, and viability.
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Affiliation(s)
- Freya R. Weth
- Gillies McIndoe Research Institute, 7 Hospital Road, Wellington 6021, New Zealand
- Centre for Biodiscovery and School of Biological Sciences, Victoria University of Wellington, Wellington 6021, New Zealand
| | - Lifeng Peng
- Centre for Biodiscovery and School of Biological Sciences, Victoria University of Wellington, Wellington 6021, New Zealand
| | - Erin Paterson
- Gillies McIndoe Research Institute, 7 Hospital Road, Wellington 6021, New Zealand
| | - Swee T. Tan
- Gillies McIndoe Research Institute, 7 Hospital Road, Wellington 6021, New Zealand
- Wellington Regional Plastic, Maxillofacial & Burns Unit, Hutt Hospital, Lower Hutt 5040, New Zealand
- Department of Surgery, The Royal Melbourne Hospital, The University of Melbourne, Melbourne, VIC 3010, Australia
| | - Clint Gray
- Gillies McIndoe Research Institute, 7 Hospital Road, Wellington 6021, New Zealand
- Correspondence:
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98
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Wang B, Qinglai T, Yang Q, Li M, Zeng S, Yang X, Xiao Z, Tong X, Lei L, Li S. Functional acellular matrix for tissue repair. Mater Today Bio 2022; 18:100530. [PMID: 36601535 PMCID: PMC9806685 DOI: 10.1016/j.mtbio.2022.100530] [Citation(s) in RCA: 17] [Impact Index Per Article: 8.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2022] [Revised: 12/23/2022] [Accepted: 12/26/2022] [Indexed: 12/29/2022]
Abstract
In view of their low immunogenicity, biomimetic internal environment, tissue- and organ-like physicochemical properties, and functionalization potential, decellularized extracellular matrix (dECM) materials attract considerable attention and are widely used in tissue engineering. This review describes the composition of extracellular matrices and their role in stem-cell differentiation, discusses the advantages and disadvantages of existing decellularization techniques, and presents methods for the functionalization and characterization of decellularized scaffolds. In addition, we discuss progress in the use of dECMs for cartilage, skin, nerve, and muscle repair and the transplantation or regeneration of different whole organs (e.g., kidneys, liver, uterus, lungs, and heart), summarize the shortcomings of using dECMs for tissue and organ repair after refunctionalization, and examine the corresponding future prospects. Thus, the present review helps to further systematize the application of functionalized dECMs in tissue/organ transplantation and keep researchers up to date on recent progress in dECM usage.
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Affiliation(s)
- Bin Wang
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Tang Qinglai
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Qian Yang
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Mengmeng Li
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Shiying Zeng
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Xinming Yang
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Zian Xiao
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, China
| | - Xinying Tong
- Department of Hemodialysis, The Second Xiangya Hospital, Central South University, Changsha 410011, Hunan, China
| | - Lanjie Lei
- State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
- Corresponding author. State Key Laboratory of Bioelectronics, School of Biological Science and Medical Engineering, Southeast University, Nanjing 210096, China
| | - Shisheng Li
- Department of Otorhinolaryngology Head and Neck Surgery, The Second Xiangya Hospital, Central South University, Changsha 410011, China
- Corresponding author. Department of Otorhinolaryngology Head and Neck Surgery, the Second Xiangya Hospital, Central South University, Changsha 410011, Hunan, China.
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Victorious A. Current Applications of Organ-on-a-Chip: A Step Closer to Personalized Medicine. BIO INTEGRATION 2022. [DOI: 10.15212/bioi-2022-0027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022] Open
Abstract
Abstract In the pharmaceutical industry, a critical need exists for effective drug development approaches that better account for factors imposed by the physiological microenvironment. Organ-on-a-chip (OOAC)—a revolutionary technology that simulates human organs’
physiological milieu and performance on a chip—has applications in curing illnesses and drug screening, and enormous potential to transform the drug discovery workflow. However, the effective integration of this unique engineering system into ordinary pharmacological and medical contexts
remains in development. This Editorial summarizes current research on OOAC systems, and offers insight into future development prospects and the need for a next-generation OOAC framework.
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Chliara MA, Elezoglou S, Zergioti I. Bioprinting on Organ-on-Chip: Development and Applications. BIOSENSORS 2022; 12:1135. [PMID: 36551101 PMCID: PMC9775862 DOI: 10.3390/bios12121135] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 10/31/2022] [Revised: 11/30/2022] [Accepted: 12/01/2022] [Indexed: 06/17/2023]
Abstract
Organs-on-chips (OoCs) are microfluidic devices that contain bioengineered tissues or parts of natural tissues or organs and can mimic the crucial structures and functions of living organisms. They are designed to control and maintain the cell- and tissue-specific microenvironment while also providing detailed feedback about the activities that are taking place. Bioprinting is an emerging technology for constructing artificial tissues or organ constructs by combining state-of-the-art 3D printing methods with biomaterials. The utilization of 3D bioprinting and cells patterning in OoC technologies reinforces the creation of more complex structures that can imitate the functions of a living organism in a more precise way. Here, we summarize the current 3D bioprinting techniques and we focus on the advantages of 3D bioprinting compared to traditional cell seeding in addition to the methods, materials, and applications of 3D bioprinting in the development of OoC microsystems.
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Affiliation(s)
- Maria Anna Chliara
- School of Applied Mathematics and Physical Sciences, National Technical University of Athens, 15780 Zografou, Greece
- Institute of Communication and Computer Systems, 15780 Zografou, Greece
| | - Stavroula Elezoglou
- School of Applied Mathematics and Physical Sciences, National Technical University of Athens, 15780 Zografou, Greece
- PhosPrint P.C., Lefkippos Technology Park, NCSR Demokritos Patriarchou Grigoriou 5’ & Neapoleos 27, 15341 Athens, Greece
| | - Ioanna Zergioti
- School of Applied Mathematics and Physical Sciences, National Technical University of Athens, 15780 Zografou, Greece
- Institute of Communication and Computer Systems, 15780 Zografou, Greece
- PhosPrint P.C., Lefkippos Technology Park, NCSR Demokritos Patriarchou Grigoriou 5’ & Neapoleos 27, 15341 Athens, Greece
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