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Han X, Cai C, Deng W, Shi Y, Li L, Wang C, Zhang J, Rong M, Liu J, Fang B, He H, Liu X, Deng C, He X, Cao X. Landscape of human organoids: Ideal model in clinics and research. Innovation (N Y) 2024; 5:100620. [PMID: 38706954 PMCID: PMC11066475 DOI: 10.1016/j.xinn.2024.100620] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/31/2023] [Accepted: 03/29/2024] [Indexed: 05/07/2024] Open
Abstract
In the last decade, organoid research has entered a golden era, signifying a pivotal shift in the biomedical landscape. The year 2023 marked a milestone with the publication of thousands of papers in this arena, reflecting exponential growth. However, amid this burgeoning expansion, a comprehensive and accurate overview of the field has been conspicuously absent. Our review is intended to bridge this gap, providing a panoramic view of the rapidly evolving organoid landscape. We meticulously analyze the organoid field from eight distinctive vantage points, harnessing our rich experience in academic research, industrial application, and clinical practice. We present a deep exploration of the advances in organoid technology, underpinned by our long-standing involvement in this arena. Our narrative traverses the historical genesis of organoids and their transformative impact across various biomedical sectors, including oncology, toxicology, and drug development. We delve into the synergy between organoids and avant-garde technologies such as synthetic biology and single-cell omics and discuss their pivotal role in tailoring personalized medicine, enhancing high-throughput drug screening, and constructing physiologically pertinent disease models. Our comprehensive analysis and reflective discourse provide a deep dive into the existing landscape and emerging trends in organoid technology. We spotlight technological innovations, methodological evolution, and the broadening spectrum of applications, emphasizing the revolutionary influence of organoids in personalized medicine, oncology, drug discovery, and other fields. Looking ahead, we cautiously anticipate future developments in the field of organoid research, especially its potential implications for personalized patient care, new avenues of drug discovery, and clinical research. We trust that our comprehensive review will be an asset for researchers, clinicians, and patients with keen interest in personalized medical strategies. We offer a broad view of the present and prospective capabilities of organoid technology, encompassing a wide range of current and future applications. In summary, in this review we attempt a comprehensive exploration of the organoid field. We offer reflections, summaries, and projections that might be useful for current researchers and clinicians, and we hope to contribute to shaping the evolving trajectory of this dynamic and rapidly advancing field.
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Affiliation(s)
- Xinxin Han
- Organ Regeneration X Lab, Lisheng East China Institute of Biotechnology, Peking University, Jiangsu 226200, China
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Chunhui Cai
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Wei Deng
- LongHua Hospital, Shanghai University of Traditional Chinese Medicine, 725 Wanping South Road, Xuhui District, Shanghai 200032, China
- Department of Oncology, Shanghai Ninth People’s Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
| | - Yanghua Shi
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Lanyang Li
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Chen Wang
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Jian Zhang
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Mingjie Rong
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Jiping Liu
- Shanghai Lisheng Biotech, Shanghai 200092, China
| | - Bangjiang Fang
- LongHua Hospital, Shanghai University of Traditional Chinese Medicine, 725 Wanping South Road, Xuhui District, Shanghai 200032, China
| | - Hua He
- Department of Neurosurgery, Third Affiliated Hospital, Naval Medical University, Shanghai 200438, China
| | - Xiling Liu
- Shanghai Key Laboratory of Forensic Medicine, Shanghai Forensic Service Platform, Academy of Forensic Science, Ministry of Justice, Shanghai 200063, China
| | - Chuxia Deng
- Cancer Center, Faculty of Health Sciences, University of Macau, Taipa, Macau SAR, China
- Ministry of Education Frontiers Science Center for Precision Oncology, University of Macau, Taipa, Macau SAR 999078, China
| | - Xiao He
- CAS Key Lab for Biomedical Effects of Nanomaterials and Nanosafety, Institute of High Energy Physics, Chinese Academy of Sciences, Beijing 100049, China
| | - Xin Cao
- Zhongshan Hospital Institute of Clinical Science, Fudan University Shanghai Medical College, Shanghai 200032, China
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Stüve P, Nerb B, Harrer S, Wuttke M, Feuerer M, Junger H, Eggenhofer E, Lungu B, Laslau S, Ritter U. Analysis of organoid and immune cell co-cultures by machine learning-empowered image cytometry. Front Med (Lausanne) 2024; 10:1274482. [PMID: 38298516 PMCID: PMC10827864 DOI: 10.3389/fmed.2023.1274482] [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: 08/08/2023] [Accepted: 11/24/2023] [Indexed: 02/02/2024] Open
Abstract
Organoids are three-dimensional (3D) structures that can be derived from stem cells or adult tissue progenitor cells and exhibit an extraordinary ability to autonomously organize and resemble the cellular composition and architectural integrity of specific tissue segments. This feature makes them a useful tool for analyzing therapeutical relevant aspects, including organ development, wound healing, immune disorders and drug discovery. Most organoid models do not contain cells that mimic the neighboring tissue’s microenvironment, which could potentially hinder deeper mechanistic studies. However, to use organoid models in mechanistic studies, which would enable us to better understand pathophysiological processes, it is necessary to emulate the in situ microenvironment. This can be accomplished by incorporating selected cells of interest from neighboring tissues into the organoid culture. Nevertheless, the detection and quantification of organoids in such co-cultures remains a major technical challenge. These imaging analysis approaches would require an accurate separation of organoids from the other cell types in the co-culture. To efficiently detect and analyze 3D organoids in co-cultures, we developed a high-throughput imaging analysis platform. This method integrates automated imaging techniques and advanced image processing tools such as grayscale conversion, contrast enhancement, membrane detection and structure separation. Based on machine learning algorithms, we were able to identify and classify 3D organoids within dense co-cultures of immune cells. This procedure allows a high-throughput analysis of organoid-associated parameters such as quantity, size, and shape. Therefore, the technology has significant potential to advance contextualized research using organoid co-cultures and their potential applications in translational medicine.
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Affiliation(s)
- Philipp Stüve
- Division of Immunology, LIT – Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Benedikt Nerb
- Division of Immunology, LIT – Leibniz Institute for Immunotherapy, Regensburg, Germany
- Chair for Immunology, University of Regensburg, Regensburg, Germany
| | - Selina Harrer
- Division of Immunology, LIT – Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Marina Wuttke
- Division of Immunology, LIT – Leibniz Institute for Immunotherapy, Regensburg, Germany
| | - Markus Feuerer
- Division of Immunology, LIT – Leibniz Institute for Immunotherapy, Regensburg, Germany
- Chair for Immunology, University of Regensburg, Regensburg, Germany
| | - Henrik Junger
- Department of Surgery, University Hospital Regensburg, Regensburg, Germany
| | - Elke Eggenhofer
- Department of Surgery, University Hospital Regensburg, Regensburg, Germany
| | | | | | - Uwe Ritter
- Division of Immunology, LIT – Leibniz Institute for Immunotherapy, Regensburg, Germany
- Chair for Immunology, University of Regensburg, Regensburg, Germany
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Yu J, Wang K, Zheng D. Brain organoids for addressing COVID-19 challenge. Front Neurosci 2022; 16:1055601. [PMID: 36523428 PMCID: PMC9744798 DOI: 10.3389/fnins.2022.1055601] [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: 09/28/2022] [Accepted: 11/02/2022] [Indexed: 09/19/2023] Open
Abstract
COVID-19 is a systemic disease involving multiple organs, and clinically, patients have symptoms of neurological damage to varying degrees. However, we do not have a clear understanding of the relationship between neurological manifestations and viral infection due to the limitations of current in vitro study models. Brain organoids, formed by the differentiation of stem cells under 3D culture conditions, can mimic the structure of tiny cell clusters with neurodevelopmental features in different patients. The paper reviewed the history of brain organoids development, the study of the mechanism of viral infection, the inflammatory response associated with neurological damage, the detection of antiviral drugs, and combined microarray technology to affirm the status of the brain organoid models in the study of COVID-19. In addition, our study continuously improved the model in combination with emerging technologies, to lay a theoretical foundation for clinical application and academic research.
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Affiliation(s)
- Jin Yu
- Department of Hematology, Panzhihua Central Hospital, Panzhihua, Sichuan, China
| | - Kailun Wang
- Department of Emergency, Panzhihua Central Hospital, Panzhihua, Sichuan, China
| | - Dalin Zheng
- Department of Hematology, Panzhihua Central Hospital, Panzhihua, Sichuan, China
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Kawasaki M, Goyama T, Tachibana Y, Nagao I, Ambrosini YM. Farm and Companion Animal Organoid Models in Translational Research: A Powerful Tool to Bridge the Gap Between Mice and Humans. FRONTIERS IN MEDICAL TECHNOLOGY 2022; 4:895379. [PMID: 35647577 PMCID: PMC9133531 DOI: 10.3389/fmedt.2022.895379] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 04/26/2022] [Indexed: 12/19/2022] Open
Abstract
Animal organoid models derived from farm and companion animals have great potential to contribute to human health as a One Health initiative, which recognize a close inter-relationship among humans, animals and their shared environment and adopt multi-and trans-disciplinary approaches to optimize health outcomes. With recent advances in organoid technology, studies on farm and companion animal organoids have gained more attention in various fields including veterinary medicine, translational medicine and biomedical research. Not only is this because three-dimensional organoids possess unique characteristics from traditional two-dimensional cell cultures including their self-organizing and self-renewing properties and high structural and functional similarities to the originating tissue, but also because relative to conventional genetically modified or artificially induced murine models, companion animal organoids can provide an excellent model for spontaneously occurring diseases which resemble human diseases. These features of companion animal organoids offer a paradigm-shifting approach in biomedical research and improve translatability of in vitro studies to subsequent in vivo studies with spontaneously diseased animals while reducing the use of conventional animal models prior to human clinical trials. Farm animal organoids also could play an important role in investigations of the pathophysiology of zoonotic and reproductive diseases by contributing to public health and improving agricultural production. Here, we discuss a brief history of organoids and the most recent updates on farm and companion animal organoids, followed by discussion on their potential in public health, food security, and comparative medicine as One Health initiatives. We highlight recent evolution in the culturing of organoids and their integration with organ-on-a-chip systems to overcome current limitations in in vitro studies. We envision multidisciplinary work integrating organoid culture and organ-on-a-chip technology can contribute to improving both human and animal health.
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Affiliation(s)
- Minae Kawasaki
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, WA, United States
| | - Takashi Goyama
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, WA, United States
| | - Yurika Tachibana
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, WA, United States
| | - Itsuma Nagao
- Department of Veterinary Clinical Sciences, College of Veterinary Medicine, Washington State University, Pullman, WA, United States
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Modeling Innate Antiviral Immunity in Physiological Context. J Mol Biol 2021; 434:167374. [PMID: 34863779 PMCID: PMC8940657 DOI: 10.1016/j.jmb.2021.167374] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Revised: 11/14/2021] [Accepted: 11/15/2021] [Indexed: 12/16/2022]
Abstract
An effective innate antiviral response is critical for the mitigation of severe disease and host survival following infection. In vivo, the innate antiviral response is triggered by cells that detect the invading pathogen and then communicate through autocrine and paracrine signaling to stimulate the expression of genes that inhibit viral replication, curtail cell proliferation, or modulate the immune response. In other words, the innate antiviral response is complex and dynamic. Notably, in the laboratory, culturing viruses and assaying viral life cycles frequently utilizes cells that are derived from tissues other than those that support viral replication during natural infection, while the study of viral pathogenesis often employs animal models. In recapitulating the human antiviral response, it is important to consider that variation in the expression and function of innate immune sensors and antiviral effectors exists across species, cell types, and cell differentiation states, as well as when cells are placed in different contexts. Thus, to gain novel insight into the dynamics of the host response and how specific sensors and effectors impact infection kinetics by a particular virus, the model system must be selected carefully. In this review, we briefly introduce key signaling pathways involved in the innate antiviral response and highlight how these differ between systems. We then review the application of tissue-engineered or 3D models for studying the antiviral response, and suggest how these in vitro culture systems could be further utilized to assay physiologically-relevant host responses and reveal novel insight into virus-host interactions.
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