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Qu B, Mu Q, Bi H, Chen Y, Wang Q, Ma X, Lu L. Interpretation of the past, present, and future of organoid technology: an updated bibliometric analysis from 2009 to 2024. Front Cell Dev Biol 2024; 12:1433111. [PMID: 39193361 PMCID: PMC11347291 DOI: 10.3389/fcell.2024.1433111] [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: 05/15/2024] [Accepted: 07/31/2024] [Indexed: 08/29/2024] Open
Abstract
Organoid technology has been developed rapidly in the past decade, which involves the exploration of the mechanism of development, regeneration and various diseases, and intersects among multiple disciplines. Thousands of literature on 3D-culture or organoids have been published in the research areas of cell biology tissue engineering, nanoscience, oncology and so on, resulting in it being challenging for researchers to timely summarize these studies. Bibliometric statistics is a helpful way to help researchers clarify the above issues efficiently and manage the whole landscape systematically. In our study, all original articles on organoids were included in the Web of Science database from January 2009 to May 2024, and related information was collected and analyzed using Excel software, "bibliometrix" packages of the R software, VOSviewer and CiteSpace. As results, a total of 6222 papers were included to classify the status quo of the organoids and predict future research areas. Our findings highlight a growing trend in publications related to organoids, with the United States and Netherlands leading in this field. The University of California System, Harvard University, Utrecht University and Utrecht University Medical Center have emerged as pivotal contributors and the key authors in the field include Clevers, H, Beekman, JM and Spence JR. Our results also revealed that the research hotspots and trends of organoids mainly focused on clinical treatment, drug screening, and the application of materials and technologies such as "hydrogel" and "microfluidic technology" in organoids. Next, we had an in-depth interpretation of the development process of organoid research area, including the emergence of technology, the translation from bench to bedsides, the profiles of the most widely studied types of organoids, the application of materials and technologies, and the emerging organoid-immune co-cultures trends. Furthermore, we also discussed the pitfalls, challenges and prospects of organoid technology. In conclusion, this study provides readers straightforward and convenient access to the organoid research field.
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Affiliation(s)
- Baozhen Qu
- Qingdao Cancer Prevention and Treatment Research Institute, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), Qingdao, China
| | - Qiang Mu
- The First Department of Breast Surgery, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), Qingdao, China
| | - Huanhuan Bi
- College of Medicine, Qingdao University, Qingdao, China
| | - Yuxian Chen
- College of Medicine, Qingdao University, Qingdao, China
| | - Qitang Wang
- The First Department of Breast Surgery, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), Qingdao, China
| | - Xuezhen Ma
- Department of Oncology, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), Qingdao, China
| | - Linlin Lu
- Qingdao Cancer Prevention and Treatment Research Institute, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), Qingdao, China
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Stresser DM, Kopec AK, Hewitt P, Hardwick RN, Van Vleet TR, Mahalingaiah PKS, O'Connell D, Jenkins GJ, David R, Graham J, Lee D, Ekert J, Fullerton A, Villenave R, Bajaj P, Gosset JR, Ralston SL, Guha M, Amador-Arjona A, Khan K, Agarwal S, Hasselgren C, Wang X, Adams K, Kaushik G, Raczynski A, Homan KA. Towards in vitro models for reducing or replacing the use of animals in drug testing. Nat Biomed Eng 2024; 8:930-935. [PMID: 38151640 DOI: 10.1038/s41551-023-01154-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2023]
Affiliation(s)
- David M Stresser
- Quantitative, Translational & ADME Sciences, AbbVie, North Chicago, IL, USA.
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ), .
- IQ Microphysiological Systems Affiliate (IQ-), .
| | - Anna K Kopec
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Drug Safety Research & Development, Pfizer, Inc., Groton, CT, USA
| | - Philip Hewitt
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Chemical and Preclinical Safety, Merck KGaA, Darmstadt, Germany
| | - Rhiannon N Hardwick
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Discovery Toxicology, Pharmaceutical Candidate Optimization, Bristol Myers Squibb, San Diego, CA, USA
| | - Terry R Van Vleet
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Investigative Toxicology and Pathology, AbbVie, North Chicago, IL, USA
| | - Prathap Kumar S Mahalingaiah
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Investigative Toxicology and Pathology, AbbVie, North Chicago, IL, USA
| | - Denice O'Connell
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- Global Animal Welfare, AbbVie, North Chicago, IL, USA
- IQ 3Rs (Replacement, Reduction, Refinement) Translational and Predictive Sciences Leadership Group
| | - Gary J Jenkins
- Quantitative, Translational & ADME Sciences, AbbVie, North Chicago, IL, USA
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Translational and ADME Sciences Leadership Group (TALG)
| | - Rhiannon David
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Clinical Pharmacology & Safety Sciences, AstraZeneca, Cambridge, UK
| | - Jessica Graham
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- Product Quality & Occupational Toxicology, Genentech, Inc., South San Francisco, CA, USA
- IQ DruSafe
- Safety Assessment, Genentech, Inc., South San Francisco, CA, USA
| | - Donna Lee
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ 3Rs (Replacement, Reduction, Refinement) Translational and Predictive Sciences Leadership Group
- Safety Assessment, Genentech, Inc., South San Francisco, CA, USA
| | - Jason Ekert
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- UCB Pharma, Cambridge, MA, USA
| | - Aaron Fullerton
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Investigative Toxicology, Genentech, Inc., South San Francisco, CA, USA
| | - Remi Villenave
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Roche Pharma Research and Early Development, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Piyush Bajaj
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Global Investigative Toxicology, Preclinical Safety, Sanofi, Cambridge, MA, USA
| | - James R Gosset
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Pharmacokinetics, Dynamics and Metabolism, Medicine Design, Pfizer, Inc, Cambridge, MA, USA
| | - Sherry L Ralston
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ 3Rs (Replacement, Reduction, Refinement) Translational and Predictive Sciences Leadership Group
- Preclinical Safety, AbbVie, North Chicago, IL, USA
| | - Manti Guha
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Discovery Biology, Incyte, Wilmington, DE, USA
| | - Alejandro Amador-Arjona
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Discovery Biology, Incyte, Wilmington, DE, USA
| | - Kainat Khan
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Clinical Pharmacology & Safety Sciences, AstraZeneca, Cambridge, UK
| | - Saket Agarwal
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Investigative Toxicology, Early Development, Alnylam Pharmaceuticals, Cambridge, MA, USA
| | - Catrin Hasselgren
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ DruSafe
- Predictive Toxicology, Genentech, Inc., South San Francisco, CA, USA
| | - Xiaoting Wang
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Translational Safety & Bioanalytical Sciences, Amgen Research, Amgen Inc., South San Francisco, CA, USA
| | - Khary Adams
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ 3Rs (Replacement, Reduction, Refinement) Translational and Predictive Sciences Leadership Group
- Laboratory Animal Resources, Incyte, Wilmington, DE, USA
| | - Gaurav Kaushik
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Nonclinical Drug Safety, Boehringer Ingelheim Pharmaceuticals Inc., Ridgefield, CT, USA
| | - Arkadiusz Raczynski
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ)
- IQ Microphysiological Systems Affiliate (IQ-)
- Preclinical Safety Assessment, Vertex Pharmaceuticals, Inc, Boston, MA, USA
| | - Kimberly A Homan
- International Consortium for Innovation and Quality in Pharmaceutical Development (IQ), .
- IQ Microphysiological Systems Affiliate (IQ-), .
- Complex in vitro Systems Group, Genentech, Inc., South San Francisco, CA, USA.
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Gallo LH, Akanda N, Autar K, Patel A, Cox I, Powell HA, Grillo M, Barakat N, Morgan D, Guo X, Hickman JJ. A functional aged human iPSC-cortical neuron model recapitulates Alzheimer's disease, senescence, and the response to therapeutics. Alzheimers Dement 2024. [PMID: 39077965 DOI: 10.1002/alz.14044] [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: 03/04/2024] [Revised: 05/01/2024] [Accepted: 05/13/2024] [Indexed: 07/31/2024]
Abstract
INTRODUCTION The degeneration of cortical layers is associated with cognitive decline in Alzheimer's disease (AD). Current therapies for AD are not disease-modifying, and, despite substantial efforts, research and development for AD has faced formidable challenges. In addition, cellular senescence has emerged as a significant contributor to therapy resistance. METHODS Human iPSC-derived cortical neurons were cultured on microelectrode arrays to measure long-term potentiation (LTP) noninvasively. Neurons were treated with pathogenic amyloid-β (Aβ) to analyze senescence and response to therapeutic molecules. RESULTS Microphysiological recordings revealed Aβ dampened cortical LTP activity and accelerated neuronal senescence. Aging neurons secreted inflammatory factors previously detected in brain, plasma, and cerebral spinal fluid of AD patients, in which drugs modulated senescence-related factors. DISCUSSION This platform measures and records neuronal LTP activity in response to Aβ and therapeutic molecules in real-time. Efficacy data from similar platforms have been accepted by the FDA for neurodegenerative diseases, expediting regulatory submissions. HIGHLIGHTS This work developed a progerontic model of amyloid-β (Aβ)-driven cortical degeneration. This work measured neuronal LTP and correlated function with aging biomarkers. Aβ is a driver of neuronal senescence and cortical degeneration. Molecules rescued neuronal function but did not halt Aβ-driven senescence. Therapeutic molecules modulated secretion of inflammatory factors by aging neurons.
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Affiliation(s)
- Leandro H Gallo
- Nanoscience Technology Center, University of Central Florida, Orlando, Florida, USA
| | - Nesar Akanda
- Nanoscience Technology Center, University of Central Florida, Orlando, Florida, USA
| | - Kaveena Autar
- Nanoscience Technology Center, University of Central Florida, Orlando, Florida, USA
- Hesperos Inc., Orlando, Florida, USA
| | - Aakash Patel
- Nanoscience Technology Center, University of Central Florida, Orlando, Florida, USA
- Hesperos Inc., Orlando, Florida, USA
| | - Ian Cox
- Nanoscience Technology Center, University of Central Florida, Orlando, Florida, USA
| | - Haley A Powell
- Nanoscience Technology Center, University of Central Florida, Orlando, Florida, USA
| | - Marcella Grillo
- Nanoscience Technology Center, University of Central Florida, Orlando, Florida, USA
- Hesperos Inc., Orlando, Florida, USA
| | - Natali Barakat
- Nanoscience Technology Center, University of Central Florida, Orlando, Florida, USA
| | - Dave Morgan
- Department of Translational Neuroscience, Michigan State University College of Human Medicine, Grand Rapids Research Center, Grand Rapids, Michigan, USA
| | - Xiufang Guo
- Nanoscience Technology Center, University of Central Florida, Orlando, Florida, USA
| | - James J Hickman
- Nanoscience Technology Center, University of Central Florida, Orlando, Florida, USA
- Hesperos Inc., Orlando, Florida, USA
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Li D, Zhang R, Le Y, Zhang T, Luo D, Zhang H, Li J, Zhao R, Hu Y, Kong X. Organoid-Based Assessment of Metal-Organic Framework (MOF) Nanomedicines for Ex Vivo Cancer Therapy. ACS APPLIED MATERIALS & INTERFACES 2024; 16:33070-33080. [PMID: 38904394 DOI: 10.1021/acsami.4c05172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/22/2024]
Abstract
Nanomaterials have been extensively exploited in tumor treatment, leading to numerous innovative strategies for cancer therapy. While nanomedicines present immense potential, their application in cancer therapy is characterized by significant complexity and unpredictability, especially regarding biocompatibility and anticancer efficiency. These considerations underscore the essential need for the development of ex vivo research models, which provide invaluable insights and understanding into the biosafety and efficacy of nanomedicines in oncology. Fortunately, the emergence of organoid technology offers a novel approach to the preclinical evaluation of the anticancer efficacy of nanomedicines in vitro. Hence, in this study, we constructed intestine and hepatocyte organoid models (Intestine-orgs and Hep-orgs) for assessing intestinal and hepatic toxicity at the microtissue level. We utilized three typical metal-organic frameworks (MOFs), ZIF-8, ZIF-67, and MIL-125, as nanomedicines to further detect their interactions with organoids. Subsequently, the MIL-125 with biocompatibility loaded methotrexate (MTX), forming the nanomedicine (MIL-125-PEG-MTX), indicated a high loading efficiency (82%) and a well-release capability in an acid microenvironment. More importantly, the anticancer effect of the nanomedicine was investigated using an in vitro patient-derived organoids (PDOs) model, achieving inhibition rates of 48% and 78% for PDO-1 and PDO-2, respectively, demonstrating that PDOs could predict clinical response and facilitate prospective therapeutic selection. These achievements presented great potential for organoid-based ex vivo models for nano theragnostic evaluation in biosafety and function.
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Affiliation(s)
- Dan Li
- Institute for Smart Biomedical Materials, School of Materials Science & Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
- Zhejiang-Mauritius Joint Research Center for Biomaterials and Tissue Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
| | - Rui Zhang
- Institute for Smart Biomedical Materials, School of Materials Science & Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
- Zhejiang-Mauritius Joint Research Center for Biomaterials and Tissue Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
| | - Yinpeng Le
- Institute for Smart Biomedical Materials, School of Materials Science & Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
- Zhejiang-Mauritius Joint Research Center for Biomaterials and Tissue Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
| | - Ting Zhang
- Institute for Smart Biomedical Materials, School of Materials Science & Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
- Zhejiang-Mauritius Joint Research Center for Biomaterials and Tissue Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
| | - Dandan Luo
- Institute for Smart Biomedical Materials, School of Materials Science & Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
- Zhejiang-Mauritius Joint Research Center for Biomaterials and Tissue Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
| | - Han Zhang
- Institute for Smart Biomedical Materials, School of Materials Science & Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
- Zhejiang-Mauritius Joint Research Center for Biomaterials and Tissue Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
| | - Jun Li
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, PR China
| | - Ruibo Zhao
- Institute for Smart Biomedical Materials, School of Materials Science & Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
- Zhejiang-Mauritius Joint Research Center for Biomaterials and Tissue Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
| | - Yeting Hu
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, The Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310000, PR China
| | - Xiangdong Kong
- Institute for Smart Biomedical Materials, School of Materials Science & Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
- Zhejiang-Mauritius Joint Research Center for Biomaterials and Tissue Engineering, Zhejiang Sci-Tech University, Hangzhou 310018, PR China
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5
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Nissinen L, Riihilä P, Viiklepp K, Rajagopal V, Storek MJ, Kähäri VM. C1s targeting antibodies inhibit the growth of cutaneous squamous carcinoma cells. Sci Rep 2024; 14:13465. [PMID: 38866870 PMCID: PMC11169539 DOI: 10.1038/s41598-024-64088-3] [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: 02/13/2024] [Accepted: 06/05/2024] [Indexed: 06/14/2024] Open
Abstract
Cutaneous squamous cell carcinoma (cSCC) is the most common metastatic skin cancer. The incidence of cSCC is increasing globally and the prognosis of metastatic disease is poor. Currently there are no specific targeted therapies for advanced or metastatic cSCC. We have previously shown abundant expression of the complement classical pathway C1 complex components, serine proteases C1r and C1s in tumor cells in invasive cSCCs in vivo, whereas the expression of C1r and C1s was lower in cSCCs in situ, actinic keratoses and in normal skin. We have also shown that knockdown of C1s expression results in decreased viability and growth of cSCC cells by promoting apoptosis both in culture and in vivo. Here, we have studied the effect of specific IgG2a mouse monoclonal antibodies TNT003 and TNT005 targeting human C1s in five primary non-metastatic and three metastatic cSCC cell lines that show intracellular expression of C1s and secretion of C1s into the cell culture media. Treatment of cSCC cells with TNT003 and TNT005 significantly inhibited their growth and viability and promoted apoptosis of cSCC cells. These data indicate that TNT003 and TNT005 inhibit cSCC cell growth in culture and warrant further investigation of C1s targeted inhibition in additional in vitro and in vivo models of cSCC.
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Affiliation(s)
- Liisa Nissinen
- Department of Dermatology and FICAN West Cancer Centre Research Laboratory, University of Turku and Turku University Hospital, Hämeentie 11 TE6, 20520, Turku, Finland
| | - Pilvi Riihilä
- Department of Dermatology and FICAN West Cancer Centre Research Laboratory, University of Turku and Turku University Hospital, Hämeentie 11 TE6, 20520, Turku, Finland
| | - Kristina Viiklepp
- Department of Dermatology and FICAN West Cancer Centre Research Laboratory, University of Turku and Turku University Hospital, Hämeentie 11 TE6, 20520, Turku, Finland
| | | | | | - Veli-Matti Kähäri
- Department of Dermatology and FICAN West Cancer Centre Research Laboratory, University of Turku and Turku University Hospital, Hämeentie 11 TE6, 20520, Turku, Finland.
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Eltanameli B, Piñeiro-Llanes J, Cristofoletti R. Recent advances in cell-based in vitro models for predicting drug permeability across brain, intestinal, and pulmonary barriers. Expert Opin Drug Metab Toxicol 2024; 20:439-458. [PMID: 38850058 DOI: 10.1080/17425255.2024.2366390] [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: 02/26/2024] [Accepted: 06/06/2024] [Indexed: 06/09/2024]
Abstract
INTRODUCTION Recent years have witnessed remarkable progress in the development of cell-based in vitro models aimed at predicting drug permeability, particularly focusing on replicating the barrier properties of the blood-brain barrier (BBB), intestinal epithelium, and lung epithelium. AREA COVERED This review provides an overview of 2D in vitro platforms, including monocultures and co-culture systems, highlighting their respective advantages and limitations. Additionally, it discusses tools and techniques utilized to overcome these limitations, paving the way for more accurate predictions of drug permeability. Furthermore, this review delves into emerging technologies, particularly microphysiological systems (MPS), encompassing static platforms such as organoids and dynamic platforms like microfluidic devices. Literature searches were performed using PubMed and Google Scholar. We focus on key terms such as in vitro permeability models, MPS, organoids, intestine, BBB, and lungs. EXPERT OPINION The potential of these MPS to mimic physiological conditions more closely offers promising avenues for drug permeability assessment. However, transitioning these advanced models from bench to industry requires rigorous validation against regulatory standards. Thus, there is a pressing need to validate MPS to industry and regulatory agency standards to exploit their potential in drug permeability prediction fully. This review underscores the importance of such validation processes to facilitate the translation of these innovative technologies into routine pharmaceutical practice.
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Affiliation(s)
- Bassma Eltanameli
- Center for Pharmacometrics & Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL, USA
- Department of Pharmaceutics, Faculty of Pharmacy, Mansoura University, Mansoura, Egypt
| | - Janny Piñeiro-Llanes
- Center for Pharmacometrics & Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL, USA
| | - Rodrigo Cristofoletti
- Center for Pharmacometrics & Systems Pharmacology, Department of Pharmaceutics, College of Pharmacy, University of Florida, Orlando, FL, USA
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7
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Alonso-Roman R, Mosig AS, Figge MT, Papenfort K, Eggeling C, Schacher FH, Hube B, Gresnigt MS. Organ-on-chip models for infectious disease research. Nat Microbiol 2024; 9:891-904. [PMID: 38528150 DOI: 10.1038/s41564-024-01645-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2023] [Accepted: 02/20/2024] [Indexed: 03/27/2024]
Abstract
Research on microbial pathogens has traditionally relied on animal and cell culture models to mimic infection processes in the host. Over recent years, developments in microfluidics and bioengineering have led to organ-on-chip (OoC) technologies. These microfluidic systems create conditions that are more physiologically relevant and can be considered humanized in vitro models. Here we review various OoC models and how they have been applied for infectious disease research. We outline the properties that make them valuable tools in microbiology, such as dynamic microenvironments, vascularization, near-physiological tissue constitutions and partial integration of functional immune cells, as well as their limitations. Finally, we discuss the prospects for OoCs and their potential role in future infectious disease research.
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Affiliation(s)
- Raquel Alonso-Roman
- Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute (Leibniz-HKI), Jena, Germany
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany
| | - Alexander S Mosig
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany
- Institute of Biochemistry II, Jena University Hospital, Jena, Germany
- Center for Sepsis Control and Care, Jena University Hospital, Friedrich-Schiller University, Jena, Germany
| | - Marc Thilo Figge
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany
- Applied Systems Biology Group, Leibniz-HKI, Jena, Germany
- Institute of Microbiology, Faculty of Biological Sciences, Friedrich Schiller University, Jena, Germany
| | - Kai Papenfort
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany
- Institute of Microbiology, Faculty of Biological Sciences, Friedrich Schiller University, Jena, Germany
| | - Christian Eggeling
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany
- Leibniz Institute of Photonic Technology, Leibniz Center for Photonics in Infection Research e.V., Jena, Germany
- Institute of Applied Optics and Biophysics, Friedrich Schiller University Jena, Jena, Germany
- Jena Center for Soft Matter, Jena, Germany
| | - Felix H Schacher
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany
- Jena Center for Soft Matter, Jena, Germany
- Institute of Organic Chemistry and Macromolecular Chemistry, Friedrich Schiller University, Jena, Germany
| | - Bernhard Hube
- Department of Microbial Pathogenicity Mechanisms, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute (Leibniz-HKI), Jena, Germany.
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany.
- Institute of Microbiology, Faculty of Biological Sciences, Friedrich Schiller University, Jena, Germany.
| | - Mark S Gresnigt
- Cluster of Excellence Balance of the Microverse, Friedrich Schiller University Jena, Jena, Germany
- Junior Research Group Adaptive Pathogenicity Strategies, Leibniz-HKI, Jena, Germany
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8
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Hu H, Sun C, Chen J, Li Z. Organoids in ovarian cancer: a platform for disease modeling, precision medicine, and drug assessment. J Cancer Res Clin Oncol 2024; 150:146. [PMID: 38509422 PMCID: PMC10955023 DOI: 10.1007/s00432-024-05654-0] [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: 11/28/2023] [Accepted: 02/17/2024] [Indexed: 03/22/2024]
Abstract
Ovarian cancer (OC) is a major cause of gynecological cancer mortality, necessitating enhanced research. Organoids, cellular clusters grown in 3D model, have emerged as a disruptive paradigm, transcending the limitations inherent to conventional models by faithfully recapitulating key morphological, histological, and genetic attributes. This review undertakes a comprehensive exploration of the potential in organoids derived from murine, healthy population, and patient origins, encompassing a spectrum that spans foundational principles to pioneering applications. Organoids serve as preclinical models, allowing us to predict how patients will respond to treatments and guiding the development of personalized therapies. In the context of evaluating new drugs, organoids act as versatile platforms, enabling thorough testing of innovative combinations and novel agents. Remarkably, organoids mimic the dynamic nature of OC progression, from its initial formation to the spread to other parts of the body, shedding light on intricate details that hold significant importance. By functioning at an individualized level, organoids uncover the complex mechanisms behind drug resistance, revealing strategic opportunities for effective treatments.
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Affiliation(s)
- Haiyao Hu
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Obstetrics and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Chong'en Sun
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China
- Key Laboratory of Obstetrics and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China
| | - Jingyao Chen
- State Key Laboratory of Biotherapy and Cancer Center, West China Hospital, Sichuan University, Chengdu, China
| | - Zhengyu Li
- Department of Obstetrics and Gynecology, West China Second University Hospital, Sichuan University, Chengdu, China.
- Key Laboratory of Obstetrics and Gynecologic and Pediatric Diseases and Birth Defects of Ministry of Education, West China Second University Hospital, Sichuan University, Chengdu, China.
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Bersini S, Arrigoni C, Talò G, Candrian C, Moretti M. Complex or not too complex? One size does not fit all in next generation microphysiological systems. iScience 2024; 27:109199. [PMID: 38433912 PMCID: PMC10904982 DOI: 10.1016/j.isci.2024.109199] [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] [Indexed: 03/05/2024] Open
Abstract
In the attempt to overcome the increasingly recognized shortcomings of existing in vitro and in vivo models, researchers have started to implement alternative models, including microphysiological systems. First examples were represented by 2.5D systems, such as microfluidic channels covered by cell monolayers as blood vessel replicates. In recent years, increasingly complex microphysiological systems have been developed, up to multi-organ on chip systems, connecting different 3D tissues in the same device. However, such an increase in model complexity raises several questions about their exploitation and implementation into industrial and clinical applications, ranging from how to improve their reproducibility, robustness, and reliability to how to meaningfully and efficiently analyze the huge amount of heterogeneous datasets emerging from these devices. Considering the multitude of envisaged applications for microphysiological systems, it appears now necessary to tailor their complexity on the intended purpose, being academic or industrial, and possibly combine results deriving from differently complex stages to increase their predictive power.
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Affiliation(s)
- Simone Bersini
- Regenerative Medicine Technologies Lab, Laboratories for Translational Research, Ente Ospedaliero Cantonale, via Chiesa 5, 6500 Bellinzona, Switzerland
- Service of Orthopaedics and Traumatology, Department of Surgery, Ente Ospedaliero Cantonale, via Tesserete 46, 6900 Lugano, Switzerland
- Euler Institute, Faculty of Biomedical Sciences, Università della Svizzera italiana (USI), via Buffi 13, 6900 Lugano, Switzerland
| | - Chiara Arrigoni
- Regenerative Medicine Technologies Lab, Laboratories for Translational Research, Ente Ospedaliero Cantonale, via Chiesa 5, 6500 Bellinzona, Switzerland
- Service of Orthopaedics and Traumatology, Department of Surgery, Ente Ospedaliero Cantonale, via Tesserete 46, 6900 Lugano, Switzerland
- Euler Institute, Faculty of Biomedical Sciences, Università della Svizzera italiana (USI), via Buffi 13, 6900 Lugano, Switzerland
| | - Giuseppe Talò
- Cell and Tissue Engineering Laboratory, IRCCS Ospedale Galeazzi – Sant’Ambrogio, via Cristina Belgioioso 173, 20157 Milano, Italy
| | - Christian Candrian
- Service of Orthopaedics and Traumatology, Department of Surgery, Ente Ospedaliero Cantonale, via Tesserete 46, 6900 Lugano, Switzerland
- Euler Institute, Faculty of Biomedical Sciences, Università della Svizzera italiana (USI), via Buffi 13, 6900 Lugano, Switzerland
| | - Matteo Moretti
- Regenerative Medicine Technologies Lab, Laboratories for Translational Research, Ente Ospedaliero Cantonale, via Chiesa 5, 6500 Bellinzona, Switzerland
- Service of Orthopaedics and Traumatology, Department of Surgery, Ente Ospedaliero Cantonale, via Tesserete 46, 6900 Lugano, Switzerland
- Euler Institute, Faculty of Biomedical Sciences, Università della Svizzera italiana (USI), via Buffi 13, 6900 Lugano, Switzerland
- Cell and Tissue Engineering Laboratory, IRCCS Ospedale Galeazzi – Sant’Ambrogio, via Cristina Belgioioso 173, 20157 Milano, Italy
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10
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Yang Y, Yang H, Kiskin FN, Zhang JZ. The new era of cardiovascular research: revolutionizing cardiovascular research with 3D models in a dish. MEDICAL REVIEW (2021) 2024; 4:68-85. [PMID: 38515776 PMCID: PMC10954298 DOI: 10.1515/mr-2023-0059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/12/2023] [Accepted: 01/18/2024] [Indexed: 03/23/2024]
Abstract
Cardiovascular research has heavily relied on studies using patient samples and animal models. However, patient studies often miss the data from the crucial early stage of cardiovascular diseases, as obtaining primary tissues at this stage is impracticable. Transgenic animal models can offer some insights into disease mechanisms, although they usually do not fully recapitulate the phenotype of cardiovascular diseases and their progression. In recent years, a promising breakthrough has emerged in the form of in vitro three-dimensional (3D) cardiovascular models utilizing human pluripotent stem cells. These innovative models recreate the intricate 3D structure of the human heart and vessels within a controlled environment. This advancement is pivotal as it addresses the existing gaps in cardiovascular research, allowing scientists to study different stages of cardiovascular diseases and specific drug responses using human-origin models. In this review, we first outline various approaches employed to generate these models. We then comprehensively discuss their applications in studying cardiovascular diseases by providing insights into molecular and cellular changes associated with cardiovascular conditions. Moreover, we highlight the potential of these 3D models serving as a platform for drug testing to assess drug efficacy and safety. Despite their immense potential, challenges persist, particularly in maintaining the complex structure of 3D heart and vessel models and ensuring their function is comparable to real organs. However, overcoming these challenges could revolutionize cardiovascular research. It has the potential to offer comprehensive mechanistic insights into human-specific disease processes, ultimately expediting the development of personalized therapies.
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Affiliation(s)
- Yuan Yang
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, Guangdong Province, China
| | - Hao Yang
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, Guangdong Province, China
| | - Fedir N. Kiskin
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, Guangdong Province, China
| | - Joe Z. Zhang
- Institute of Neurological and Psychiatric Disorders, Shenzhen Bay Laboratory, Shenzhen, Guangdong Province, China
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11
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Wang L, Hu D, Xu J, Hu J, Wang Y. Complex in vitro Model: A Transformative Model in Drug Development and Precision Medicine. Clin Transl Sci 2023; 17:e13695. [PMID: 38062923 PMCID: PMC10828975 DOI: 10.1111/cts.13695] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2023] [Revised: 10/25/2023] [Accepted: 11/18/2023] [Indexed: 02/02/2024] Open
Abstract
In vitro and in vivo models play integral roles in preclinical drug research, evaluation, and precision medicine. In vitro models primarily involve research platforms based on cultured cells, typically in the form of two-dimensional (2D) cell models. However, notable disparities exist between 2D cultured cells and in vivo cells across various aspects, rendering the former inadequate for replicating the physiologically relevant functions of human or animal organs and tissues. Consequently, these models failed to accurately reflect real-life scenarios post-drug administration. Complex in vitro models (CIVMs) refer to in vitro models that integrate a multicellular environment and a three-dimensional (3D) structure using bio-polymer or tissue-derived matrices. These models seek to reconstruct the organ- or tissue-specific characteristics of the extracellular microenvironment. The utilization of CIVMs allows for enhanced physiological correlation of cultured cells, thereby better mimicking in vivo conditions without ethical concerns associated with animal experimentation. Consequently, CIVMs have gained prominence in disease research and drug development. This review aimed to comprehensively examine and analyze the various types, manufacturing techniques, and applications of CIVM in the domains of drug discovery, drug development, and precision medicine. The objective of this study was to provide a comprehensive understanding of the progress made in CIVMs and their potential future use in these fields.
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Affiliation(s)
- Luming Wang
- Department of Thoracic SurgeryThe First Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
- Key Laboratory of Clinical Evaluation Technology for Medical Device of Zhejiang ProvinceHangzhouChina
| | - Danping Hu
- Hangzhou Chexmed Technology Co., Ltd.HangzhouChina
| | - Jinming Xu
- Department of Thoracic SurgeryThe First Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
- Key Laboratory of Clinical Evaluation Technology for Medical Device of Zhejiang ProvinceHangzhouChina
| | - Jian Hu
- Department of Thoracic SurgeryThe First Affiliated Hospital, Zhejiang University School of MedicineHangzhouChina
- Key Laboratory of Clinical Evaluation Technology for Medical Device of Zhejiang ProvinceHangzhouChina
| | - Yifei Wang
- Hangzhou Chexmed Technology Co., Ltd.HangzhouChina
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12
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Deng S, Li C, Cao J, Cui Z, Du J, Fu Z, Yang H, Chen P. Organ-on-a-chip meets artificial intelligence in drug evaluation. Theranostics 2023; 13:4526-4558. [PMID: 37649608 PMCID: PMC10465229 DOI: 10.7150/thno.87266] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Accepted: 08/02/2023] [Indexed: 09/01/2023] Open
Abstract
Drug evaluation has always been an important area of research in the pharmaceutical industry. However, animal welfare protection and other shortcomings of traditional drug development models pose obstacles and challenges to drug evaluation. Organ-on-a-chip (OoC) technology, which simulates human organs on a chip of the physiological environment and functionality, and with high fidelity reproduction organ-level of physiology or pathophysiology, exhibits great promise for innovating the drug development pipeline. Meanwhile, the advancement in artificial intelligence (AI) provides more improvements for the design and data processing of OoCs. Here, we review the current progress that has been made to generate OoC platforms, and how human single and multi-OoCs have been used in applications, including drug testing, disease modeling, and personalized medicine. Moreover, we discuss issues facing the field, such as large data processing and reproducibility, and point to the integration of OoCs and AI in data analysis and automation, which is of great benefit in future drug evaluation. Finally, we look forward to the opportunities and challenges faced by the coupling of OoCs and AI. In summary, advancements in OoCs development, and future combinations with AI, will eventually break the current state of drug evaluation.
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Affiliation(s)
- Shiwen Deng
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Caifeng Li
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
- Robot Intelligent Laboratory of Traditional Chinese Medicine, Experimental Research Center, China Academy of Chinese Medical Sciences & MEGAROBO, Beijing 100700, China
| | - Junxian Cao
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Zhao Cui
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
- Institute of Chinese Materia Medica, China Academy of Chinese Medical Sciences, Beijing 100700, China
| | - Jiang Du
- Yunnan Biovalley Pharmaceutical Co., Ltd, Kunming 650503, China
| | - Zheng Fu
- Robot Intelligent Laboratory of Traditional Chinese Medicine, Experimental Research Center, China Academy of Chinese Medical Sciences & MEGAROBO, Beijing 100700, China
| | - Hongjun Yang
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
- Robot Intelligent Laboratory of Traditional Chinese Medicine, Experimental Research Center, China Academy of Chinese Medical Sciences & MEGAROBO, Beijing 100700, China
| | - Peng Chen
- Beijing Key Laboratory of Traditional Chinese Medicine Basic Research on Prevention and Treatment for Major Diseases, Experimental Research Center, China Academy of Chinese Medical Sciences, Beijing 100700, China
- Yunnan Biovalley Pharmaceutical Co., Ltd, Kunming 650503, China
- Robot Intelligent Laboratory of Traditional Chinese Medicine, Experimental Research Center, China Academy of Chinese Medical Sciences & MEGAROBO, Beijing 100700, China
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13
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Loewa A, Feng JJ, Hedtrich S. Human disease models in drug development. NATURE REVIEWS BIOENGINEERING 2023; 1:1-15. [PMID: 37359774 PMCID: PMC10173243 DOI: 10.1038/s44222-023-00063-3] [Citation(s) in RCA: 33] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Accepted: 03/30/2023] [Indexed: 06/20/2023]
Abstract
Biomedical research is undergoing a paradigm shift towards approaches centred on human disease models owing to the notoriously high failure rates of the current drug development process. Major drivers for this transition are the limitations of animal models, which, despite remaining the gold standard in basic and preclinical research, suffer from interspecies differences and poor prediction of human physiological and pathological conditions. To bridge this translational gap, bioengineered human disease models with high clinical mimicry are being developed. In this Review, we discuss preclinical and clinical studies that benefited from these models, focusing on organoids, bioengineered tissue models and organs-on-chips. Furthermore, we provide a high-level design framework to facilitate clinical translation and accelerate drug development using bioengineered human disease models.
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Affiliation(s)
- Anna Loewa
- Department of Infectious Diseases and Respiratory Medicine, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - James J. Feng
- Department of Chemical and Biological Engineering, University of British Columbia, Vancouver, BC Canada
- Department of Mathematics, University of British Columbia, Vancouver, BC Canada
| | - Sarah Hedtrich
- Department of Infectious Diseases and Respiratory Medicine, Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Center of Biological Design, Berlin Institute of Health at Charité – Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
- Faculty of Pharmaceutical Sciences, University of British Columbia, Vancouver, BC Canada
- Max-Delbrück Center for Molecular Medicine (MCD), Helmholtz Association, Berlin, Germany
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14
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Simmons K, Chan J, Hussain S, Rose EL, Markham K, Byun TS, Panicker S, Parry GC, Storek M. Anti-C1s humanized monoclonal antibody SAR445088: A classical pathway complement inhibitor specific for the active form of C1s. Clin Immunol 2023; 251:109629. [PMID: 37149117 DOI: 10.1016/j.clim.2023.109629] [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: 01/13/2023] [Revised: 03/28/2023] [Accepted: 04/26/2023] [Indexed: 05/08/2023]
Abstract
The objective of this study was to characterize the complement-inhibiting activity of SAR445088, a novel monoclonal antibody specific for the active form of C1s. Wieslab® and hemolytic assays were used to demonstrate that SAR445088 is a potent, selective inhibitor of the classical pathway of complement. Specificity for the active form of C1s was confirmed in a ligand binding assay. Finally, TNT010 (a precursor to SAR445088) was assessed in vitro for its ability to inhibit complement activation associated with cold agglutinin disease (CAD). TNT010 inhibited C3b/iC3b deposition on human red blood cells incubated with CAD patient serum and decreased their subsequent phagocytosis by THP-1 cells. In summary, this study identifies SAR445088 as a potential therapeutic for the treatment of classical pathway-driven diseases and supports its continued assessment in clinical trials.
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Affiliation(s)
| | - Joanne Chan
- Sanofi, Cambridge, MA, USA; Former Sanofi Employee Affiliated with Sanofi at Time of Study
| | - Sami Hussain
- Sanofi, Cambridge, MA, USA; Former Sanofi Employee Affiliated with Sanofi at Time of Study
| | - Eileen L Rose
- Sanofi, Cambridge, MA, USA; Former Sanofi Employee Affiliated with Sanofi at Time of Study
| | - Kate Markham
- Sanofi, Cambridge, MA, USA; Former Sanofi Employee Affiliated with Sanofi at Time of Study
| | - Tony S Byun
- Sanofi, Cambridge, MA, USA; Former Sanofi Employee Affiliated with Sanofi at Time of Study
| | - Sandip Panicker
- Sanofi, Cambridge, MA, USA; Former Sanofi Employee Affiliated with Sanofi at Time of Study
| | - Graham C Parry
- Sanofi, Cambridge, MA, USA; Former Sanofi Employee Affiliated with Sanofi at Time of Study
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15
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Suzuki I, Matsuda N, Han X, Noji S, Shibata M, Nagafuku N, Ishibashi Y. Large-Area Field Potential Imaging Having Single Neuron Resolution Using 236 880 Electrodes CMOS-MEA Technology. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023:e2207732. [PMID: 37088859 PMCID: PMC10369302 DOI: 10.1002/advs.202207732] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Revised: 03/21/2023] [Indexed: 05/03/2023]
Abstract
The electrophysiological technology having a high spatiotemporal resolution at the single-cell level and noninvasive measurements of large areas provide insights on underlying neuronal function. Here, a complementary metal-oxide semiconductor (CMOS)-microelectrode array (MEA) is used that uses 236 880 electrodes each with an electrode size of 11.22 × 11.22 µm and 236 880 covering a wide area of 5.5 × 5.9 mm in presenting a detailed and single-cell-level neural activity analysis platform for brain slices, human iPS cell-derived cortical networks, peripheral neurons, and human brain organoids. Propagation pattern characteristics between brain regions changes the synaptic propagation into compounds based on single-cell time-series patterns, classification based on single DRG neuron firing patterns and compound responses, axonal conduction characteristics and changes to anticancer drugs, and network activities and transition to compounds in brain organoids are extracted. This detailed analysis of neural activity at the single-cell level using the CMOS-MEA provides a new understanding of the basic mechanisms of brain circuits in vitro and ex vivo, on human neurological diseases for drug discovery, and compound toxicity assessment.
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Affiliation(s)
- Ikuro Suzuki
- Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-ku, Sendai, Miyagi, 982-8577, Japan
| | - Naoki Matsuda
- Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-ku, Sendai, Miyagi, 982-8577, Japan
| | - Xiaobo Han
- Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-ku, Sendai, Miyagi, 982-8577, Japan
| | - Shuhei Noji
- Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-ku, Sendai, Miyagi, 982-8577, Japan
| | - Mikako Shibata
- Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-ku, Sendai, Miyagi, 982-8577, Japan
| | - Nami Nagafuku
- Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-ku, Sendai, Miyagi, 982-8577, Japan
| | - Yuto Ishibashi
- Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-ku, Sendai, Miyagi, 982-8577, Japan
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16
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Ritonga IL, Setyowati S, Handiyani H, Nursasi AY. Exploring the tuberculosis medication program in Indonesia as perceived by patients and their families: A qualitative study. BELITUNG NURSING JOURNAL 2023; 9:124-131. [PMID: 37469587 PMCID: PMC10353632 DOI: 10.33546/bnj.2484] [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: 12/08/2022] [Revised: 01/05/2023] [Accepted: 02/27/2023] [Indexed: 07/21/2023] Open
Abstract
Background Tuberculosis (TB) remains a significant public health challenge in Indonesia, with the country experiencing one of the highest numbers of lost cases in TB management. Therefore, there is a need to identify the underlying reasons for this problem. Objective This study aimed to explore the experiences of TB-diagnosed patients and their families during the time of diagnosis and while undergoing the TB medication program. Methods This study employed a qualitative descriptive-interpretive approach. The study was conducted in government community health centers (CHC) from May 2022 to July 2022. A total of 22 participants, consisting of 12 TB-diagnosed patients and ten family members, were included in the study. Data were collected through focus group discussions and analyzed thematically. Results Five themes were developed: (1) Delay in tuberculosis diagnosis, (2) Delay in starting TB treatment, (3) High willingness of patients and their families to recover, (4) Understanding that TB is an infectious disease, and (5) Factors affecting patient recovery. Conclusion The study findings might contribute to the National TB elimination program. It is recommended that all health workers practicing in the community should be involved in the TB program to improve its management. Collaboration between multiple sectors in the community can also provide an advantage in solving TB problems by increasing new case detection. Additionally, it is suggested that all nurses working with TB patients establish rapport with health cadres and patients' families to enhance medication adherence in patients.
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Affiliation(s)
- Imelda Liana Ritonga
- Nursing Program, Universitas Imelda Medan, Indonesia
- Faculty of Nursing, Universitas Indonesia, Depok, West Java, Indonesia
| | | | - Hanny Handiyani
- Faculty of Nursing, Universitas Indonesia, Depok, West Java, Indonesia
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17
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Marshall LJ, Bailey J, Cassotta M, Herrmann K, Pistollato F. Poor Translatability of Biomedical Research Using Animals - A Narrative Review. Altern Lab Anim 2023; 51:102-135. [PMID: 36883244 DOI: 10.1177/02611929231157756] [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] [Indexed: 03/09/2023]
Abstract
The failure rate for the translation of drugs from animal testing to human treatments remains at over 92%, where it has been for the past few decades. The majority of these failures are due to unexpected toxicity - that is, safety issues revealed in human trials that were not apparent in animal tests - or lack of efficacy. However, the use of more innovative tools, such as organs-on-chips, in the preclinical pipeline for drug testing, has revealed that these tools are more able to predict unexpected safety events prior to clinical trials and so can be used for this, as well as for efficacy testing. Here, we review several disease areas, and consider how the use of animal models has failed to offer effective new treatments. We also make some suggestions as to how the more human-relevant new approach methodologies might be applied to address this.
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Affiliation(s)
- Lindsay J Marshall
- Animal Research Issues, 94219The Humane Society of the United States, Gaithersburg, MD, USA
| | - Jarrod Bailey
- 380235Cruelty Free International, London, UK; 542332Animal Free Research UK, London, UK
| | | | - Kathrin Herrmann
- Johns Hopkins Bloomberg School of Public Health, 457389Center for Alternatives to Animal Testing, Baltimore, MD, USA; Senate Department for the Environment, Urban Mobility, Consumer Protection and Climate Action, Berlin, Germany
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18
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Yamazaki D. [Toward Regulatory Acceptance of MPS-Cardiac Safety Assessment as an Example]. YAKUGAKU ZASSHI 2023; 143:55-63. [PMID: 36596540 DOI: 10.1248/yakushi.22-00161-3] [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: 01/01/2023]
Abstract
Microphysiological system (MPS) are "Cell/tissue culture systems that reproduce in vivo organ functions in vitro by placing organ compartments that mimic the physiological environment of various organs such as the liver, small intestine, and lungs in micro-spaces." The MPS are attracting attention around the world as tools to improve human predictability in drug discovery research. In the U.S., in 2012, the NIH (National Institutes of Health) allocated a large budget to academia for research development of MPS. In Japan, the National Institute of Advanced Industrial Science and Technology and the NIHS (National Institute of Health Sciences) have been playing a central role in commercialization, performance evaluation, and standardization of MPS devices developed by academia for the liver, small intestine, kidney, and BBB as target organs/tissues in the AMED-MPS project that started in 2017. Pharmaceutical companies are beginning to utilize MPS in drug discovery research. However, MPS have only just been raised as a topic of discussion between regulatory authorities and pharmaceutical companies, and it will be necessary to overcome many barriers before data obtained by MPS can be included in drug approval documents and be widely accepted administratively. In this review, I would like to introduce cardiac safety evaluation as a concrete example to show what paths MPS should take to gain regulatory approval. In addition, I would like also to introduce human 3D heart tissue, which was developed in NIHS, as a cardiac MPS.
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19
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Han X, Matsuda N, Ishibashi Y, Odawara A, Takahashi S, Tooi N, Kinoshita K, Suzuki I. A functional neuron maturation device provides convenient application on microelectrode array for neural network measurement. Biomater Res 2022; 26:84. [PMID: 36539898 PMCID: PMC9768978 DOI: 10.1186/s40824-022-00324-z] [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: 08/12/2022] [Accepted: 11/17/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND Microelectrode array (MEA) systems are valuable for in vitro assessment of neurotoxicity and drug efficiency. However, several difficulties such as protracted functional maturation and high experimental costs hinder the use of MEA analysis requiring human induced pluripotent stem cells (hiPSCs). Neural network functional parameters are also needed for in vitro to in vivo extrapolation. METHODS In the present study, we produced a cost effective nanofiber culture platform, the SCAD device, for long-term culture of hiPSC-derived neurons and primary peripheral neurons. The notable advantage of SCAD device is convenient application on multiple MEA systems for neuron functional analysis. RESULTS We showed that the SCAD device could promote functional maturation of cultured hiPSC-derived neurons, and neurons responded appropriately to convulsant agents. Furthermore, we successfully analyzed parameters for in vitro to in vivo extrapolation, i.e., low-frequency components and synaptic propagation velocity of the signal, potentially reflecting neural network functions from neurons cultured on SCAD device. Finally, we measured the axonal conduction velocity of peripheral neurons. CONCLUSIONS Neurons cultured on SCAD devices might constitute a reliable in vitro platform to investigate neuron functions, drug efficacy and toxicity, and neuropathological mechanisms by MEA.
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Affiliation(s)
- Xiaobo Han
- grid.444756.00000 0001 2165 0596Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-Ku, Sendai, Miyagi 982-8577 Japan
| | - Naoki Matsuda
- grid.444756.00000 0001 2165 0596Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-Ku, Sendai, Miyagi 982-8577 Japan
| | - Yuto Ishibashi
- grid.444756.00000 0001 2165 0596Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-Ku, Sendai, Miyagi 982-8577 Japan
| | - Aoi Odawara
- grid.444756.00000 0001 2165 0596Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-Ku, Sendai, Miyagi 982-8577 Japan
| | - Sayuri Takahashi
- grid.444756.00000 0001 2165 0596Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-Ku, Sendai, Miyagi 982-8577 Japan
| | - Norie Tooi
- Stem Cell & Device Laboratory, Inc. (SCAD), OFFICE-ONE Shijo Karasuma 11F, 480, Niwatoriboko-Cho, Shimogyo-Ku, Kyoto, 600-8491 Japan
| | - Koshi Kinoshita
- Stem Cell & Device Laboratory, Inc. (SCAD), OFFICE-ONE Shijo Karasuma 11F, 480, Niwatoriboko-Cho, Shimogyo-Ku, Kyoto, 600-8491 Japan
| | - Ikuro Suzuki
- grid.444756.00000 0001 2165 0596Department of Electronics, Graduate School of Engineering, Tohoku Institute of Technology, 35-1 Yagiyama Kasumicho, Taihaku-Ku, Sendai, Miyagi 982-8577 Japan
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