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Garciamendez-Mijares CE, Aguilar FJ, Hernandez P, Kuang X, Gonzalez M, Ortiz V, Riesgo RA, Ruiz DSR, Rivera VAM, Rodriguez JC, Mestre FL, Castillo PC, Perez A, Cruz LM, Lim KS, Zhang YS. Design considerations for digital light processing bioprinters. APPLIED PHYSICS REVIEWS 2024; 11:031314. [PMID: 39221036 PMCID: PMC11284760 DOI: 10.1063/5.0187558] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Accepted: 07/02/2024] [Indexed: 09/04/2024]
Abstract
With the rapid development and popularization of additive manufacturing, different technologies, including, but not limited to, extrusion-, droplet-, and vat-photopolymerization-based fabrication techniques, have emerged that have allowed tremendous progress in three-dimensional (3D) printing in the past decades. Bioprinting, typically using living cells and/or biomaterials conformed by different printing modalities, has produced functional tissues. As a subclass of vat-photopolymerization bioprinting, digital light processing (DLP) uses digitally controlled photomasks to selectively solidify liquid photocurable bioinks to construct complex physical objects in a layer-by-layer manner. DLP bioprinting presents unique advantages, including short printing times, relatively low manufacturing costs, and decently high resolutions, allowing users to achieve significant progress in the bioprinting of tissue-like complex structures. Nevertheless, the need to accommodate different materials while bioprinting and improve the printing performance has driven the rapid progress in DLP bioprinters, which requires multiple pieces of knowledge ranging from optics, electronics, software, and materials beyond the biological aspects. This raises the need for a comprehensive review to recapitulate the most important considerations in the design and assembly of DLP bioprinters. This review begins with analyzing unique considerations and specific examples in the hardware, including the resin vat, optical system, and electronics. In the software, the workflow is analyzed, including the parameters to be considered for the control of the bioprinter and the voxelizing/slicing algorithm. In addition, we briefly discuss the material requirements for DLP bioprinting. Then, we provide a section with best practices and maintenance of a do-it-yourself DLP bioprinter. Finally, we highlight the future outlooks of the DLP technology and their critical role in directing the future of bioprinting. The state-of-the-art progress in DLP bioprinter in this review will provide a set of knowledge for innovative DLP bioprinter designs.
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Affiliation(s)
- Carlos Ezio Garciamendez-Mijares
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - Francisco Javier Aguilar
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - Pavel Hernandez
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - Xiao Kuang
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - Mauricio Gonzalez
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - Vanessa Ortiz
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - Ricardo A. Riesgo
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - David S. Rendon Ruiz
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - Victoria Abril Manjarrez Rivera
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - Juan Carlos Rodriguez
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - Francisco Lugo Mestre
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - Penelope Ceron Castillo
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - Abraham Perez
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - Lourdes Monserrat Cruz
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
| | - Khoon S. Lim
- School of Medical Sciences, University of Sydney, Sydney 2006, Australia
| | - Yu Shrike Zhang
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, Massachusetts 02139, USA
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Gaglio CG, Baruffaldi D, Pirri CF, Napione L, Frascella F. GelMA synthesis and sources comparison for 3D multimaterial bioprinting. Front Bioeng Biotechnol 2024; 12:1383010. [PMID: 38590606 PMCID: PMC10999536 DOI: 10.3389/fbioe.2024.1383010] [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: 02/06/2024] [Accepted: 03/12/2024] [Indexed: 04/10/2024] Open
Abstract
Gelatin Methacryloyl (GelMA) is one of the most used biomaterials for a wide range of applications, such as drug delivery, disease modeling and tissue regeneration. GelMA is obtained from gelatin, which can be derived from different sources (e.g., bovine skin, and porcine skin), through substitution of reactive amine and hydroxyl groups with methacrylic anhydride (MAA). The degree of functionalization (DoF) can be tuned by varying the MAA amount used; thus, different protocols, with different reaction efficiency, have been developed, using various alkaline buffers (e.g., phosphate-buffered saline, DPBS, or carbonate-bicarbonate solution). Obviously, DoF modulation has an impact on the final GelMA properties, so a deep investigation on the features of the obtained hydrogel must be carried on. The purpose of this study is to investigate how different gelatin sources and synthesis methods affect GelMA properties, as literature lacks direct and systematic comparisons between these parameters, especially between synthesis methods. The final aim is to facilitate the choice of the source or synthesis method according to the needs of the desired application. Hence, chemical and physical properties of GelMA formulations were assessed, determining the DoFs, mechanical and viscoelastic properties by rheological analysis, water absorption by swelling capacity and enzymatic degradation rates. Biological tests with lung adenocarcinoma cells (A549) were performed. Moreover, since 3D bioprinting is a rapidly evolving technology thanks to the possibility of precise deposition of cell-laden biomaterials (bioinks) to mimic the 3D structures of several tissues, the potential of different GelMA formulations as bioinks have been tested with a multi-material approach, revealing its printability and versatility in various applications.
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Affiliation(s)
- Cesare Gabriele Gaglio
- Department of Applied Science and Technology (DISAT)—PolitoBIOMed Lab—Politecnico di Torino, Turin, Italy
| | - Désireé Baruffaldi
- Department of Applied Science and Technology (DISAT)—PolitoBIOMed Lab—Politecnico di Torino, Turin, Italy
| | - Candido Fabrizio Pirri
- Department of Applied Science and Technology (DISAT)—PolitoBIOMed Lab—Politecnico di Torino, Turin, Italy
- Center for Sustainable Future Technologies, Italian Institute of Technology, Turin, Italy
| | - Lucia Napione
- Department of Applied Science and Technology (DISAT)—PolitoBIOMed Lab—Politecnico di Torino, Turin, Italy
| | - Francesca Frascella
- Department of Applied Science and Technology (DISAT)—PolitoBIOMed Lab—Politecnico di Torino, Turin, Italy
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Wang Z, Huang C, Liu H, Shi Z, Han X, Li S, Huang J, Wang Z, Yan Y, Chen Z. Two-step method fabricating a 3D nerve cell model with brain-like mechanical properties and tunable porosity vascular structures via coaxial printing. Colloids Surf B Biointerfaces 2023; 224:113202. [PMID: 36801526 DOI: 10.1016/j.colsurfb.2023.113202] [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: 12/01/2022] [Revised: 01/19/2023] [Accepted: 02/08/2023] [Indexed: 02/17/2023]
Abstract
Three-dimensional (3D) nerve cell models have been widely developed to understand the mechanisms and discover treatment methods of ischemic stroke and neurodegenerative disease. However, there is a contradiction in the production of 3D models that they should possess high modulus to ensure mechanical stability while low modulus to provide mechanical stimuli for nerve cells. In addition, it is challenging to maintain the long-term viability of 3D models when lacking vascular structures. Here, a 3D nerve cell model with brain-like mechanical properties and tunable porosity vascular structures has been fabricated. The matrix materials with brain-like low mechanical properties were favorable for promoting HT22 proliferation. The nerve cells could exchange nutrients and waste with the cultural environment through vascular structures. The vascular structures also played a supporting role, and model stability was enhanced by combining matrix materials with vascular structures. Furthermore, the porosity of vascular structure walls was adjusted by adding sacrificial materials to the tube walls during 3D coaxial printing and removing them after preparation, resulting in tunable porosity vascular structures. Finally, HT22 cells showed better cell viability and proliferation performance after culturing 7 days in the 3D models with vascular structures than in the 3D models with solid structures. All these results suggest that this 3D nerve cell model possesses good mechanical stability and long-term viability, which is expected to be used in pathological studies and drug screening for ischemic stroke and neurodegenerative diseases.
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Affiliation(s)
- Zhichao Wang
- Centre for Advanced Jet Engineering Technology (CaJET), Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education), National Experimental Teaching Demonstration Center for Mechanical Engineering (Shandong University), School of Mechanical Engineering, Shandong University, Jinan 250061, China
| | - Chuanzhen Huang
- Centre for Advanced Jet Engineering Technology (CaJET), Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education), National Experimental Teaching Demonstration Center for Mechanical Engineering (Shandong University), School of Mechanical Engineering, Shandong University, Jinan 250061, China; School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China.
| | - Hanlian Liu
- Centre for Advanced Jet Engineering Technology (CaJET), Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education), National Experimental Teaching Demonstration Center for Mechanical Engineering (Shandong University), School of Mechanical Engineering, Shandong University, Jinan 250061, China
| | - Zhenyu Shi
- Centre for Advanced Jet Engineering Technology (CaJET), Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education), National Experimental Teaching Demonstration Center for Mechanical Engineering (Shandong University), School of Mechanical Engineering, Shandong University, Jinan 250061, China.
| | - Xu Han
- Centre for Advanced Jet Engineering Technology (CaJET), Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education), National Experimental Teaching Demonstration Center for Mechanical Engineering (Shandong University), School of Mechanical Engineering, Shandong University, Jinan 250061, China
| | - Shuying Li
- Centre for Advanced Jet Engineering Technology (CaJET), Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education), National Experimental Teaching Demonstration Center for Mechanical Engineering (Shandong University), School of Mechanical Engineering, Shandong University, Jinan 250061, China
| | - Jun Huang
- Centre for Advanced Jet Engineering Technology (CaJET), Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education), National Experimental Teaching Demonstration Center for Mechanical Engineering (Shandong University), School of Mechanical Engineering, Shandong University, Jinan 250061, China
| | - Zhen Wang
- School of Mechanical Engineering, Yanshan University, Qinhuangdao 066004, China
| | - Yonggan Yan
- Centre for Advanced Jet Engineering Technology (CaJET), Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education), National Experimental Teaching Demonstration Center for Mechanical Engineering (Shandong University), School of Mechanical Engineering, Shandong University, Jinan 250061, China
| | - Zhuang Chen
- Centre for Advanced Jet Engineering Technology (CaJET), Key Laboratory of High-efficiency and Clean Mechanical Manufacture (Ministry of Education), National Experimental Teaching Demonstration Center for Mechanical Engineering (Shandong University), School of Mechanical Engineering, Shandong University, Jinan 250061, China
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Zhong Z, Wang J, Tian J, Deng X, Balayan A, Sun Y, Xiang Y, Guan J, Schimelman J, Hwang H, You S, Wu X, Ma C, Shi X, Yao E, Deng SX, Chen S. Rapid 3D bioprinting of a multicellular model recapitulating pterygium microenvironment. Biomaterials 2022; 282:121391. [PMID: 35101743 PMCID: PMC10162446 DOI: 10.1016/j.biomaterials.2022.121391] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/13/2021] [Revised: 01/17/2022] [Accepted: 01/23/2022] [Indexed: 12/25/2022]
Abstract
Pterygium is an ocular surface disorder with high prevalence that can lead to vision impairment. As a pathological outgrowth of conjunctiva, pterygium involves neovascularization and chronic inflammation. Here, we developed a 3D multicellular in vitro pterygium model using a digital light processing (DLP)-based 3D bioprinting platform with human conjunctival stem cells (hCjSCs). A novel feeder-free culture system was adopted and efficiently expanded the primary hCjSCs with homogeneity, stemness and differentiation potency. The DLP-based 3D bioprinting method was able to fabricate hydrogel scaffolds that support the viability and biological integrity of the encapsulated hCjSCs. The bioprinted 3D pterygium model consisted of hCjSCs, immune cells, and vascular cells to recapitulate the disease microenvironment. Transcriptomic analysis using RNA sequencing (RNA-seq) identified a distinct profile correlated to inflammation response, angiogenesis, and epithelial mesenchymal transition in the bioprinted 3D pterygium model. In addition, the pterygium signatures and disease relevance of the bioprinted model were validated with the public RNA-seq data from patient-derived pterygium tissues. By integrating the stem cell technology with 3D bioprinting, this is the first reported 3D in vitro disease model for pterygium that can be utilized for future studies towards personalized medicine and drug screening.
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Affiliation(s)
- Zheng Zhong
- Department of NanoEngineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Jing Wang
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Jing Tian
- Department of NanoEngineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Xiaoqian Deng
- Department of Human Genetics, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Alis Balayan
- Department of NanoEngineering, University of California San Diego, La Jolla, CA, 92093, USA; School of Medicine, University of California San Diego, La Jolla, CA, 92093, USA
| | - Yazhi Sun
- Department of NanoEngineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Yi Xiang
- Department of NanoEngineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Jiaao Guan
- Department of NanoEngineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Jacob Schimelman
- Department of NanoEngineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Henry Hwang
- Department of NanoEngineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Shangting You
- Department of NanoEngineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Xiaokang Wu
- School of Medicine, University of California San Diego, La Jolla, CA, 92093, USA
| | - Chao Ma
- Stein Eye Institute, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Xiaoao Shi
- Department of NanoEngineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Emmie Yao
- Department of NanoEngineering, University of California San Diego, La Jolla, CA, 92093, USA
| | - Sophie X Deng
- Stein Eye Institute, University of California Los Angeles, Los Angeles, CA, 90095, USA
| | - Shaochen Chen
- Department of NanoEngineering, University of California San Diego, La Jolla, CA, 92093, USA.
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5
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Allen GE, Dhanda AS, Julian LM. Emerging Methods in Modeling Brain Development and Disease with Human Pluripotent Stem Cells. Methods Mol Biol 2022; 2515:319-342. [PMID: 35776361 DOI: 10.1007/978-1-0716-2409-8_20] [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] [Indexed: 06/15/2023]
Abstract
The Nobel Prize-winning discovery that human somatic cells can be readily reprogrammed into pluripotent cells has revolutionized our potential to understand the human brain. The rapid technological progression of this field has made it possible to easily obtain human neural cells and even intact tissues, offering invaluable resources to model human brain development. In this chapter, we present a brief history of hPSC-based approaches to study brain development and then, provide new insights into neurological diseases, focusing on those driven by aberrant cell death. Furthermore, we will shed light on the latest technologies and highlight the methods that researchers can use to employ established hPSC approaches in their research. Our intention is to demonstrate that hPSC-based modeling is a technical approach accessible to all researchers who seek a deeper understanding of the human brain.
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Affiliation(s)
- George E Allen
- Department of Biological Sciences; Centre for Cell Biology, Development, and Disease, Faculty of Science, Simon Fraser University, Burnaby, BC, Canada
| | - Aaron S Dhanda
- Department of Biological Sciences; Centre for Cell Biology, Development, and Disease, Faculty of Science, Simon Fraser University, Burnaby, BC, Canada
| | - Lisa M Julian
- Department of Biological Sciences; Centre for Cell Biology, Development, and Disease, Faculty of Science, Simon Fraser University, Burnaby, BC, Canada.
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6
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Knock E, Julian LM. Building on a Solid Foundation: Adding Relevance and Reproducibility to Neurological Modeling Using Human Pluripotent Stem Cells. Front Cell Neurosci 2021; 15:767457. [PMID: 34867204 PMCID: PMC8637745 DOI: 10.3389/fncel.2021.767457] [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: 08/30/2021] [Accepted: 10/20/2021] [Indexed: 11/25/2022] Open
Abstract
The brain is our most complex and least understood organ. Animal models have long been the most versatile tools available to dissect brain form and function; however, the human brain is highly distinct from that of standard model organisms. In addition to existing models, access to human brain cells and tissues is essential to reach new frontiers in our understanding of the human brain and how to intervene therapeutically in the face of disease or injury. In this review, we discuss current and developing culture models of human neural tissue, outlining advantages over animal models and key challenges that remain to be overcome. Our principal focus is on advances in engineering neural cells and tissue constructs from human pluripotent stem cells (PSCs), though primary human cell and slice culture are also discussed. By highlighting studies that combine animal models and human neural cell culture techniques, we endeavor to demonstrate that clever use of these orthogonal model systems produces more reproducible, physiological, and clinically relevant data than either approach alone. We provide examples across a range of topics in neuroscience research including brain development, injury, and cancer, neurodegenerative diseases, and psychiatric conditions. Finally, as testing of PSC-derived neurons for cell replacement therapy progresses, we touch on the advancements that are needed to make this a clinical mainstay.
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Affiliation(s)
- Erin Knock
- Research and Development, STEMCELL Technologies Inc., Vancouver, BC, Canada.,Department of Biological Sciences, Faculty of Science, Simon Fraser University, Burnaby, BC, Canada
| | - Lisa M Julian
- Department of Biological Sciences, Faculty of Science, Simon Fraser University, Burnaby, BC, Canada
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7
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Ravanbakhsh H, Karamzadeh V, Bao G, Mongeau L, Juncker D, Zhang YS. Emerging Technologies in Multi-Material Bioprinting. ADVANCED MATERIALS (DEERFIELD BEACH, FLA.) 2021; 33:e2104730. [PMID: 34596923 PMCID: PMC8971140 DOI: 10.1002/adma.202104730] [Citation(s) in RCA: 66] [Impact Index Per Article: 22.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 08/10/2021] [Indexed: 05/09/2023]
Abstract
Bioprinting, within the emerging field of biofabrication, aims at the fabrication of functional biomimetic constructs. Different 3D bioprinting techniques have been adapted to bioprint cell-laden bioinks. However, single-material bioprinting techniques oftentimes fail to reproduce the complex compositions and diversity of native tissues. Multi-material bioprinting as an emerging approach enables the fabrication of heterogeneous multi-cellular constructs that replicate their host microenvironments better than single-material approaches. Here, bioprinting modalities are reviewed, their being adapted to multi-material bioprinting is discussed, and their advantages and challenges, encompassing both custom-designed and commercially available technologies are analyzed. A perspective of how multi-material bioprinting opens up new opportunities for tissue engineering, tissue model engineering, therapeutics development, and personalized medicine is offered.
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Affiliation(s)
- Hossein Ravanbakhsh
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA
- Department of Mechanical Engineering, McGill University, Montreal, QC, H3A0C3, Canada
| | - Vahid Karamzadeh
- Department of Biomedical Engineering, McGill University, Montreal, QC, H3A0G1, Canada
| | - Guangyu Bao
- Department of Mechanical Engineering, McGill University, Montreal, QC, H3A0C3, Canada
| | - Luc Mongeau
- Department of Mechanical Engineering, McGill University, Montreal, QC, H3A0C3, Canada
| | - David Juncker
- Department of Biomedical Engineering, McGill University, Montreal, QC, H3A0G1, Canada
| | - Yu Shrike Zhang
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, 02139, USA
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8
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Elkhoury K, Morsink M, Sanchez-Gonzalez L, Kahn C, Tamayol A, Arab-Tehrany E. Biofabrication of natural hydrogels for cardiac, neural, and bone Tissue engineering Applications. Bioact Mater 2021; 6:3904-3923. [PMID: 33997485 PMCID: PMC8080408 DOI: 10.1016/j.bioactmat.2021.03.040] [Citation(s) in RCA: 73] [Impact Index Per Article: 24.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2020] [Revised: 03/05/2021] [Accepted: 03/26/2021] [Indexed: 12/13/2022] Open
Abstract
Natural hydrogels are one of the most promising biomaterials for tissue engineering applications, due to their biocompatibility, biodegradability, and extracellular matrix mimicking ability. To surpass the limitations of conventional fabrication techniques and to recapitulate the complex architecture of native tissue structure, natural hydrogels are being constructed using novel biofabrication strategies, such as textile techniques and three-dimensional bioprinting. These innovative techniques play an enormous role in the development of advanced scaffolds for various tissue engineering applications. The progress, advantages, and shortcomings of the emerging biofabrication techniques are highlighted in this review. Additionally, the novel applications of biofabricated natural hydrogels in cardiac, neural, and bone tissue engineering are discussed as well.
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Affiliation(s)
| | - Margaretha Morsink
- Department of Applied Stem Cell Technologies, TechMed Centre, University of Twente, Enschede, 7500AE, the Netherlands
| | | | - Cyril Kahn
- LIBio, Université de Lorraine, Nancy, F-54000, France
| | - Ali Tamayol
- Department of Biomedical Engineering, University of Connecticut, Farmington, CT, 06030, USA
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Walczak PA, Perez-Esteban P, Bassett DC, Hill EJ. Modelling the central nervous system: tissue engineering of the cellular microenvironment. Emerg Top Life Sci 2021; 5:507-517. [PMID: 34524411 PMCID: PMC8589431 DOI: 10.1042/etls20210245] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2021] [Revised: 08/16/2021] [Accepted: 08/27/2021] [Indexed: 12/30/2022]
Abstract
With the increasing prevalence of neurodegenerative diseases, improved models of the central nervous system (CNS) will improve our understanding of neurophysiology and pathogenesis, whilst enabling exploration of novel therapeutics. Studies of brain physiology have largely been carried out using in vivo models, ex vivo brain slices or primary cell culture from rodents. Whilst these models have provided great insight into complex interactions between brain cell types, key differences remain between human and rodent brains, such as degree of cortical complexity. Unfortunately, comparative models of human brain tissue are lacking. The development of induced Pluripotent Stem Cells (iPSCs) has accelerated advancement within the field of in vitro tissue modelling. However, despite generating accurate cellular representations of cortical development and disease, two-dimensional (2D) iPSC-derived cultures lack an entire dimension of environmental information on structure, migration, polarity, neuronal circuitry and spatiotemporal organisation of cells. As such, researchers look to tissue engineering in order to develop advanced biomaterials and culture systems capable of providing necessary cues for guiding cell fates, to construct in vitro model systems with increased biological relevance. This review highlights experimental methods for engineering of in vitro culture systems to recapitulate the complexity of the CNS with consideration given to previously unexploited biophysical cues within the cellular microenvironment.
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Affiliation(s)
- Paige A. Walczak
- College of Health and Life Sciences, School of Biosciences, Aston University, Birmingham, U.K
| | - Patricia Perez-Esteban
- College of Health and Life Sciences, School of Biosciences, Aston University, Birmingham, U.K
| | - David C. Bassett
- Healthcare Technologies Institute, School of Chemical Engineering, University of Birmingham, Birmingham, U.K
| | - Eric James Hill
- College of Health and Life Sciences, School of Biosciences, Aston University, Birmingham, U.K
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Restan Perez M, Sharma R, Masri NZ, Willerth SM. 3D Bioprinting Mesenchymal Stem Cell-Derived Neural Tissues Using a Fibrin-Based Bioink. Biomolecules 2021; 11:1250. [PMID: 34439916 PMCID: PMC8394541 DOI: 10.3390/biom11081250] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2021] [Revised: 08/07/2021] [Accepted: 08/18/2021] [Indexed: 11/16/2022] Open
Abstract
Current treatments for neurodegenerative diseases aim to alleviate the symptoms experienced by patients; however, these treatments do not cure the disease nor prevent further degeneration. Improvements in current disease-modeling and drug-development practices could accelerate effective treatments for neurological diseases. To that end, 3D bioprinting has gained significant attention for engineering tissues in a rapid and reproducible fashion. Additionally, using patient-derived stem cells, which can be reprogrammed to neural-like cells, could generate personalized neural tissues. Here, adipose tissue-derived mesenchymal stem cells (MSCs) were bioprinted using a fibrin-based bioink and the microfluidic RX1 bioprinter. These tissues were cultured for 12 days in the presence of SB431542 (SB), LDN-193189 (LDN), purmorphamine (puro), fibroblast growth factor 8 (FGF8), fibroblast growth factor-basic (bFGF), and brain-derived neurotrophic factor (BDNF) to induce differentiation to dopaminergic neurons (DN). The constructs were analyzed for expression of neural markers, dopamine release, and electrophysiological activity. The cells expressed DN-specific and early neuronal markers (tyrosine hydroxylase (TH) and class III beta-tubulin (TUJ1), respectively) after 12 days of differentiation. Additionally, the tissues exhibited immature electrical signaling after treatment with potassium chloride (KCl). Overall, this work shows the potential of bioprinting engineered neural tissues from patient-derived MSCs, which could serve as an important tool for personalized disease models and drug-screening.
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Affiliation(s)
- Milena Restan Perez
- Department of Biomedical Engineering, University of Victoria, Victoria, BC V8W 2Y2, Canada;
| | - Ruchi Sharma
- Department of Mechanical Engineering, University of Victoria, Victoria, BC V8W 2Y2, Canada;
| | - Nadia Zeina Masri
- Division of Medical Sciences, University of Victoria, Victoria, BC V8W 2Y2, Canada;
| | - Stephanie Michelle Willerth
- Department of Biomedical Engineering, University of Victoria, Victoria, BC V8W 2Y2, Canada;
- Department of Mechanical Engineering, University of Victoria, Victoria, BC V8W 2Y2, Canada;
- Division of Medical Sciences, University of Victoria, Victoria, BC V8W 2Y2, Canada;
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11
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Elalouf A. Immune response against the biomaterials used in 3D bioprinting of organs. Transpl Immunol 2021; 69:101446. [PMID: 34389430 DOI: 10.1016/j.trim.2021.101446] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2021] [Revised: 08/05/2021] [Accepted: 08/08/2021] [Indexed: 12/26/2022]
Abstract
Regenerative medicine has developed promising approaches for healing and replacing defective and damaged organs or tissues with functional ones. Three-dimensional (3D) bioprinting innovation has integrated a potential to design organs or tissues specific to the patient with the capability of rapid construction to fulfill the storage of organs and the need for transplantation. 3D bioprinting of organs has the main goal to develop a structural and functional organ or tissue mimic to the original one. The highly complex fabrication of tissue engineering scaffolds containing biomaterials, tissue models, and biomedical devices has made it possible to print small blood vessels to mimic organs to reduce organ or tissue rejection. 3D bioprinting has the concept of bioinks containing biomaterials that may trigger the immune responses in the body. Nevertheless, foreign body response (FBR) is mediated by various cell types such as B-cells, dendritic cells, macrophages, natural killer cells, neutrophils, and T-cells, and molecular signals such as antibodies (Abs), cytokines, and reactive radical species. Typically, the biomaterial is shielded by the fibrous encapsulation that is regulated by molecular signals. This review explored the progress in 3D bioprinting of vital organs and basic immune response against the biomaterials used in this approach. Thus, evaluating immune response against biomaterials used in 3D printed organs is necessary to mitigate tissue rejection after the transplantation.
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Affiliation(s)
- Amir Elalouf
- Bar-Ilan University, Department of Management, Ramat Gan 5290002, Israel.
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Gilbert R, Pfister BJ. Brain organoids/brain tissue engineering — As disease models and for understanding. CURRENT OPINION IN BIOMEDICAL ENGINEERING 2020. [DOI: 10.1016/j.cobme.2020.09.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/23/2022]
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