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Chen W, Liu D, Lu K, Xu M, Li D, Yan W, Chen S, Li B. Organoids of Musculoskeletal System for Disease Modeling, Drug Screening, and Regeneration. Adv Healthc Mater 2025; 14:e2402444. [PMID: 39610173 DOI: 10.1002/adhm.202402444] [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: 07/04/2024] [Revised: 10/30/2024] [Indexed: 11/30/2024]
Abstract
Musculoskeletal diseases have emerged as the leading cause of disability worldwide, with their prevalence increasing annually. In light of this escalating health challenge, organoids, an emerging technology in tissue engineering, offer promising solutions for disease modeling, drug screening, regeneration, and repair processes. The successful development of musculoskeletal organoids represents a significant breakthrough, providing a novel platform for studying musculoskeletal diseases and facilitating the discovery of new treatments. Moreover, organoids serve as valuable complements to traditional 2D culture methods and animal models, offering rich insights into musculoskeletal biology. This review provides an overview of organoid technology, outlining the construction processes of various musculoskeletal organoids and highlighting their similarities and differences. Furthermore, the challenges associated with organoid technology in musculoskeletal systems are discussed and insights into future perspectives are offered.
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Affiliation(s)
- Weicheng Chen
- Medical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, Jiangsu, 215000, P. R. China
| | - Dachuan Liu
- Medical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, Jiangsu, 215000, P. R. China
| | - Kai Lu
- Medical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, Jiangsu, 215000, P. R. China
| | - Mengping Xu
- Medical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, Jiangsu, 215000, P. R. China
| | - Di Li
- Medical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, Jiangsu, 215000, P. R. China
| | - Wei Yan
- Medical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, Jiangsu, 215000, P. R. China
| | - Song Chen
- Medical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, Jiangsu, 215000, P. R. China
| | - Bin Li
- Medical 3D Printing Center, Orthopedic Institute, Department of Orthopedic Surgery, The First Affiliated Hospital, School of Basic Medical Sciences, Suzhou Medical College, Soochow University, Suzhou, Jiangsu, 215000, P. R. China
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Hu Y, Zhu T, Cui H, Cui H. Integrating 3D Bioprinting and Organoids to Better Recapitulate the Complexity of Cellular Microenvironments for Tissue Engineering. Adv Healthc Mater 2025; 14:e2403762. [PMID: 39648636 DOI: 10.1002/adhm.202403762] [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: 09/30/2024] [Revised: 11/16/2024] [Indexed: 12/10/2024]
Abstract
Organoids, with their capacity to mimic the structures and functions of human organs, have gained significant attention for simulating human pathophysiology and have been extensively investigated in the recent past. Additionally, 3D bioprinting, as an emerging bio-additive manufacturing technology, offers the potential for constructing heterogeneous cellular microenvironments, thereby promoting advancements in organoid research. In this review, the latest developments in 3D bioprinting technologies aimed at enhancing organoid engineering are introduced. The commonly used bioprinting methods and materials for organoids, with a particular emphasis on the potential advantages of combining 3D bioprinting with organoids are summarized. These advantages include achieving high cell concentrations to form large cellular aggregates, precise deposition of building blocks to create organoids with complex structures and functions, and automation and high throughput to ensure reproducibility and standardization in organoid culture. Furthermore, this review provides an overview of relevant studies from recent years and discusses the current limitations and prospects for future development.
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Affiliation(s)
- Yan Hu
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Tong Zhu
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Haitao Cui
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
| | - Haijun Cui
- Key Laboratory of Biorheological Science and Technology, Ministry of Education, College of Bioengineering, Chongqing University, Chongqing, 400044, China
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Zhao H, Cheng Y, Li J, Zhou J, Yang H, Yu F, Yu F, Khutsishvili D, Wang Z, Jiang S, Tan K, Kuang Y, Xing X, Ma S. Droplet-engineered organoids recapitulate parental tissue transcriptome with inter-organoid homogeneity and inter-tumor cell heterogeneity. FUNDAMENTAL RESEARCH 2024; 4:1506-1514. [PMID: 39734523 PMCID: PMC11670719 DOI: 10.1016/j.fmre.2022.05.018] [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: 02/22/2022] [Revised: 05/03/2022] [Accepted: 05/20/2022] [Indexed: 11/19/2022] Open
Abstract
Organoids are expected to function as effective human organ models for precision cancer studies and drug development. Currently, primary tissue-derived organoids, termed non-engineered organoids (NEOs), are produced by manual pipetting or liquid handling that compromises organoid-organoid homogeneity and organoid-tissue consistency. Droplet-based microfluidics enables automated organoid production with high organoid-organoid homogeneity, organoid-tissue consistency, and a significantly improved production spectrum. It takes advantage of droplet-encapsulation of defined populations of cells and droplet-rendered microstructures that guide cell self-organization. Herein, we studied the droplet-engineered organoids (DEOs), derived from mouse liver tissues and human liver tumors, by using transcriptional analysis and cellular deconvolution on bulk RNA-seq data. The characteristics of DEOs are compared with the parental liver tissues (or tumors) and NEOs. The DEOs are proven higher reproducibility and consistency with the parental tissues, have a high production spectrum and shortened modeling time, and possess inter-organoid homogeneity and inter-tumor cell heterogeneity.
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Affiliation(s)
- Haoran Zhao
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China
| | - Yifan Cheng
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China
| | - Jiawei Li
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China
| | - Jiaqi Zhou
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China
| | - Haowei Yang
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China
| | - Feng Yu
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China
| | - Feihong Yu
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China
| | - Davit Khutsishvili
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China
| | - Zitian Wang
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China
| | - Shengwei Jiang
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China
| | - Kaixin Tan
- Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong 999077, China
| | - Yi Kuang
- Department of Chemical and Biological Engineering, Hong Kong University of Science and Technology, Hong Kong 999077, China
- HKUST Shenzhen Research Institute, Shenzhen 518057, China
| | - Xinhui Xing
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China
| | - Shaohua Ma
- Tsinghua Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen 518055, China
- Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen 518055, China
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Cao R, Tian H, Tian Y, Fu X. A Hierarchical Mechanotransduction System: From Macro to Micro. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2302327. [PMID: 38145330 PMCID: PMC10953595 DOI: 10.1002/advs.202302327] [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: 04/12/2023] [Revised: 10/27/2023] [Indexed: 12/26/2023]
Abstract
Mechanotransduction is a strictly regulated process whereby mechanical stimuli, including mechanical forces and properties, are sensed and translated into biochemical signals. Increasing data demonstrate that mechanotransduction is crucial for regulating macroscopic and microscopic dynamics and functionalities. However, the actions and mechanisms of mechanotransduction across multiple hierarchies, from molecules, subcellular structures, cells, tissues/organs, to the whole-body level, have not been yet comprehensively documented. Herein, the biological roles and operational mechanisms of mechanotransduction from macro to micro are revisited, with a focus on the orchestrations across diverse hierarchies. The implications, applications, and challenges of mechanotransduction in human diseases are also summarized and discussed. Together, this knowledge from a hierarchical perspective has the potential to refresh insights into mechanotransduction regulation and disease pathogenesis and therapy, and ultimately revolutionize the prevention, diagnosis, and treatment of human diseases.
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Affiliation(s)
- Rong Cao
- Department of Endocrinology and MetabolismCenter for Diabetes Metabolism ResearchState Key Laboratory of Biotherapy and Cancer CenterWest China Medical SchoolWest China HospitalSichuan University and Collaborative Innovation CenterChengduSichuan610041China
| | - Huimin Tian
- Department of Endocrinology and MetabolismCenter for Diabetes Metabolism ResearchState Key Laboratory of Biotherapy and Cancer CenterWest China Medical SchoolWest China HospitalSichuan University and Collaborative Innovation CenterChengduSichuan610041China
| | - Yan Tian
- Department of Endocrinology and MetabolismCenter for Diabetes Metabolism ResearchState Key Laboratory of Biotherapy and Cancer CenterWest China Medical SchoolWest China HospitalSichuan University and Collaborative Innovation CenterChengduSichuan610041China
| | - Xianghui Fu
- Department of Endocrinology and MetabolismCenter for Diabetes Metabolism ResearchState Key Laboratory of Biotherapy and Cancer CenterWest China Medical SchoolWest China HospitalSichuan University and Collaborative Innovation CenterChengduSichuan610041China
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Lokai T, Albin B, Qubbaj K, Tiwari AP, Adhikari P, Yang IH. A review on current brain organoid technologies from a biomedical engineering perspective. Exp Neurol 2023; 367:114461. [PMID: 37295544 DOI: 10.1016/j.expneurol.2023.114461] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Revised: 05/24/2023] [Accepted: 06/02/2023] [Indexed: 06/12/2023]
Abstract
Brain organoids are 3D cytoarchitectures resembling the embryonic human brain. This review focuses on current advancements in biomedical engineering methods to develop organoids such as pluripotent stem cells assemblies, quickly aggregated floating culture, hydrogel suspension, microfluidic systems (both photolithography and 3D printing), and brain organoids-on-a-chip. These methods have the potential to create a large impact on neurological disorder studies by creating a model of the human brain investigating pathogenesis and drug screening for individual patients. 3D brain organoid cultures mimic not only features of patients' unknown drug reactions, but also early human brain development at cellular, structural, and functional levels. The challenge of current brain organoids lies in the formation of distinct cortical neuron layers, gyrification, and the establishment of complex neuronal circuitry, as they are critically specialized, developmental aspects. Furthermore, recent advances such as vascularization and genome engineering are in development to overcome the barrier of neuronal complexity. Future technology of brain organoids is needed to improve tissue cross-communication, body axis simulation, cell patterning signals, and spatial-temporal control of differentiation, as engineering methods discussed in this review are rapidly evolving.
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Affiliation(s)
- Taylor Lokai
- Center for Biomedical Engineering and Science, Mechanical Engineering and Engineering Science, The University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | - Bayne Albin
- Center for Biomedical Engineering and Science, Mechanical Engineering and Engineering Science, The University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | - Khayzaran Qubbaj
- Center for Biomedical Engineering and Science, Mechanical Engineering and Engineering Science, The University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | - Arjun Prasad Tiwari
- Center for Biomedical Engineering and Science, Mechanical Engineering and Engineering Science, The University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | - Prashant Adhikari
- Center for Biomedical Engineering and Science, Mechanical Engineering and Engineering Science, The University of North Carolina at Charlotte, Charlotte, NC 28223, USA
| | - In Hong Yang
- Center for Biomedical Engineering and Science, Mechanical Engineering and Engineering Science, The University of North Carolina at Charlotte, Charlotte, NC 28223, USA.
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Afewerki S, Stocco TD, Rosa da Silva AD, Aguiar Furtado AS, Fernandes de Sousa G, Ruiz-Esparza GU, Webster TJ, Marciano FR, Strømme M, Zhang YS, Lobo AO. In vitro high-content tissue models to address precision medicine challenges. Mol Aspects Med 2023; 91:101108. [PMID: 35987701 PMCID: PMC9384546 DOI: 10.1016/j.mam.2022.101108] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Revised: 06/29/2022] [Accepted: 07/20/2022] [Indexed: 01/18/2023]
Abstract
The field of precision medicine allows for tailor-made treatments specific to a patient and thereby improve the efficiency and accuracy of disease prevention, diagnosis, and treatment and at the same time would reduce the cost, redundant treatment, and side effects of current treatments. Here, the combination of organ-on-a-chip and bioprinting into engineering high-content in vitro tissue models is envisioned to address some precision medicine challenges. This strategy could be employed to tackle the current coronavirus disease 2019 (COVID-19), which has made a significant impact and paradigm shift in our society. Nevertheless, despite that vaccines against COVID-19 have been successfully developed and vaccination programs are already being deployed worldwide, it will likely require some time before it is available to everyone. Furthermore, there are still some uncertainties and lack of a full understanding of the virus as demonstrated in the high number new mutations arising worldwide and reinfections of already vaccinated individuals. To this end, efficient diagnostic tools and treatments are still urgently needed. In this context, the convergence of bioprinting and organ-on-a-chip technologies, either used alone or in combination, could possibly function as a prominent tool in addressing the current pandemic. This could enable facile advances of important tools, diagnostics, and better physiologically representative in vitro models specific to individuals allowing for faster and more accurate screening of therapeutics evaluating their efficacy and toxicity. This review will cover such technological advances and highlight what is needed for the field to mature for tackling the various needs for current and future pandemics as well as their relevancy towards precision medicine.
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Affiliation(s)
- Samson Afewerki
- Division of Nanotechnology and Functional Materials, Department of Materials Science and Engineering, Ångström Laboratory, Uppsala University, BOX 35, 751 03, Uppsala, Sweden
| | - Thiago Domingues Stocco
- Bioengineering Program, Technological and Scientific Institute, Brazil University, 08230-030, São Paulo, SP, Brazil; Faculty of Medical Sciences, Unicamp - State University of Campinas, 13083-877, Campinas, SP, Brazil
| | | | - André Sales Aguiar Furtado
- Interdisciplinary Laboratory for Advanced Materials, BioMatLab, Department of Materials Engineering, Federal University of Piauí (UFPI), Teresina, PI, Brazil
| | - Gustavo Fernandes de Sousa
- Interdisciplinary Laboratory for Advanced Materials, BioMatLab, Department of Materials Engineering, Federal University of Piauí (UFPI), Teresina, PI, Brazil
| | - Guillermo U Ruiz-Esparza
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA; Division of Health Sciences and Technology, Harvard University ‑ Massachusetts Institute of Technology, Boston, MA, 02115, USA
| | - Thomas J Webster
- Interdisciplinary Laboratory for Advanced Materials, BioMatLab, Department of Materials Engineering, Federal University of Piauí (UFPI), Teresina, PI, Brazil; Hebei University of Technology, Tianjin, China
| | - Fernanda R Marciano
- Department of Physics, Federal University of Piauí (UFPI), Teresina, PI, Brazil
| | - Maria Strømme
- Division of Nanotechnology and Functional Materials, Department of Materials Science and Engineering, Ångström Laboratory, Uppsala University, BOX 35, 751 03, Uppsala, Sweden
| | - Yu Shrike Zhang
- Division of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, Cambridge, MA, USA; Division of Health Sciences and Technology, Harvard University ‑ Massachusetts Institute of Technology, Boston, MA, 02115, USA.
| | - Anderson Oliveira Lobo
- Interdisciplinary Laboratory for Advanced Materials, BioMatLab, Department of Materials Engineering, Federal University of Piauí (UFPI), Teresina, PI, Brazil.
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