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Ali AS, Wu D, Bannach-Brown A, Dhamrait D, Berg J, Tolksdorf B, Lichtenstein D, Dressler C, Braeuning A, Kurreck J, Hülsemann M. 3D bioprinting of liver models: A systematic scoping review of methods, bioinks, and reporting quality. Mater Today Bio 2024; 26:100991. [PMID: 38558773 PMCID: PMC10978534 DOI: 10.1016/j.mtbio.2024.100991] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Revised: 01/19/2024] [Accepted: 02/03/2024] [Indexed: 04/04/2024] Open
Abstract
Background Effective communication is crucial for broad acceptance and applicability of alternative methods in 3R biomedical research and preclinical testing. 3D bioprinting is used to construct intricate biological structures towards functional liver models, specifically engineered for deployment as alternative models in drug screening, toxicological investigations, and tissue engineering. Despite a growing number of reviews in this emerging field, a comprehensive study, systematically assessing practices and reporting quality for bioprinted liver models is missing. Methods In this systematic scoping review we systematically searched MEDLINE (Ovid), EMBASE (Ovid) and BioRxiv for studies published prior to June 2nd, 2022. We extracted data on methodological conduct, applied bioinks, the composition of the printed model, performed experiments and model applications. Records were screened for eligibility and data were extracted from included articles by two independent reviewers from a panel of seven domain experts specializing in bioprinting and liver biology. We used RAYYAN for the screening process and SyRF for data extraction. We used R for data analysis, and R and Graphpad PRISM for visualization. Results Through our systematic database search we identified 1042 records, from which 63 met the eligibility criteria for inclusion in this systematic scoping review. Our findings revealed that extrusion-based printing, in conjunction with bioinks composed of natural components, emerged as the predominant printing technique in the bioprinting of liver models. Notably, the HepG2 hepatoma cell line was the most frequently employed liver cell type, despite acknowledged limitations. Furthermore, 51% of the printed models featured co-cultures with non-parenchymal cells to enhance their complexity. The included studies offered a variety of techniques for characterizing these liver models, with their primary application predominantly focused on toxicity testing. Among the frequently analyzed liver markers, albumin and urea stood out. Additionally, Cytochrome P450 (CYP) isoforms, primarily CYP3A and CYP1A, were assessed, and select studies employed nuclear receptor agonists to induce CYP activity. Conclusion Our systematic scoping review offers an evidence-based overview and evaluation of the current state of research on bioprinted liver models, representing a promising and innovative technology for creating alternative organ models. We conducted a thorough examination of both the methodological and technical facets of model development and scrutinized the reporting quality within the realm of bioprinted liver models. This systematic scoping review can serve as a valuable template for systematically evaluating the progress of organ model development in various other domains. The transparently derived evidence presented here can provide essential support to the research community, facilitating the adaptation of technological advancements, the establishment of standards, and the enhancement of model robustness. This is particularly crucial as we work toward the long-term objective of establishing new approach methods as reliable alternatives to animal testing, with extensive and versatile applications.
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Affiliation(s)
- Ahmed S.M. Ali
- Department of Applied Biochemistry, Institute of Biotechnology, Technische Universität Berlin, Germany
| | - Dongwei Wu
- Department of Applied Biochemistry, Institute of Biotechnology, Technische Universität Berlin, Germany
| | - Alexandra Bannach-Brown
- Berlin Institute of Health (BIH) @Charité, QUEST Center for Responsible Research, Berlin, Germany
| | - Diyal Dhamrait
- Berlin Institute of Health (BIH) @Charité, QUEST Center for Responsible Research, Berlin, Germany
| | - Johanna Berg
- Department of Applied Biochemistry, Institute of Biotechnology, Technische Universität Berlin, Germany
| | - Beatrice Tolksdorf
- Department of Applied Biochemistry, Institute of Biotechnology, Technische Universität Berlin, Germany
| | - Dajana Lichtenstein
- German Federal Institute for Risk Assessment (BfR), Department Food Safety, Berlin, Germany
| | - Corinna Dressler
- Charité – Universitätsmedizin Berlin, Corporate Member of Freie Universität Berlin and Humboldt Universität zu Berlin, Medical Library, Germany
| | - Albert Braeuning
- German Federal Institute for Risk Assessment (BfR), Department Food Safety, Berlin, Germany
| | - Jens Kurreck
- Department of Applied Biochemistry, Institute of Biotechnology, Technische Universität Berlin, Germany
| | - Maren Hülsemann
- Berlin Institute of Health (BIH) @Charité, QUEST Center for Responsible Research, Berlin, Germany
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Stokar-Regenscheit N, Bell L, Berridge B, Rudmann D, Tagle D, Hargrove-Grimes P, Schaudien D, Hahn K, Kühnlenz J, Ashton RS, Tseng M, Reichelt M, Laing ST, Kiyota T, Chamanza R, Sura R, Tomlinson L. Complex In Vitro Model Characterization for Context of Use in Toxicologic Pathology: Use Cases by Collaborative Teams of Biologists, Bioengineers, and Pathologists. Toxicol Pathol 2024; 52:123-137. [PMID: 38888280 DOI: 10.1177/01926233241253811] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/20/2024]
Abstract
Complex in vitro models (CIVMs) offer the potential to increase the clinical relevance of preclinical efficacy and toxicity assessments and reduce the reliance on animals in drug development. The European Society of Toxicologic Pathology (ESTP) and Society for Toxicologic Pathology (STP) are collaborating to highlight the role of pathologists in the development and use of CIVM. Pathologists are trained in comparative animal medicine which enhances their understanding of mechanisms of human and animal diseases, thus allowing them to bridge between animal models and humans. This skill set is important for CIVM development, validation, and data interpretation. Ideally, diverse teams of scientists, including engineers, biologists, pathologists, and others, should collaboratively develop and characterize novel CIVM, and collectively assess their precise use cases (context of use). Implementing a morphological CIVM evaluation should be essential in this process. This requires robust histological technique workflows, image analysis techniques, and needs correlation with translational biomarkers. In this review, we demonstrate how such tissue technologies and analytics support the development and use of CIVM for drug efficacy and safety evaluations. We encourage the scientific community to explore similar options for their projects and to engage with health authorities on the use of CIVM in benefit-risk assessment.
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Affiliation(s)
- Nadine Stokar-Regenscheit
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Luisa Bell
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | | | | | - Danilo Tagle
- National Center for Advancing Translational Sciences/National Institutes of Health, Bethesda, Maryland, USA
| | - Passley Hargrove-Grimes
- National Center for Advancing Translational Sciences/National Institutes of Health, Bethesda, Maryland, USA
| | - Dirk Schaudien
- Fraunhofer Institute for Toxicology and Experimental Medicine, Hannover, Germany
| | - Kerstin Hahn
- Roche Pharma Research and Early Development, Pharmaceutical Sciences, Roche Innovation Center Basel, F. Hoffmann-La Roche Ltd, Basel, Switzerland
| | - Julia Kühnlenz
- Bayer SAS, CropScience, Pathology & Mechanistic Toxicology, Sophia Antipolis, France
| | - Randolph S Ashton
- University of Wisconsin-Madison, Madison, Wisconsin, USA
- Neurosetta LLC, Madison, Wisconsin, USA
| | - Min Tseng
- Genentech, South San Francisco, California, USA
| | | | | | | | | | | | - Lindsay Tomlinson
- Pfizer Inc., Drug Safety Research and Development, Cambridge, Massachusetts, USA
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3
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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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Strong CE, Zhang J, Carrasco M, Kundu S, Boutin M, Vishwasrao HD, Liu J, Medina A, Chen YC, Wilson K, Lee EM, Ferrer M. Functional brain region-specific neural spheroids for modeling neurological diseases and therapeutics screening. Commun Biol 2023; 6:1211. [PMID: 38017066 PMCID: PMC10684574 DOI: 10.1038/s42003-023-05582-8] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2023] [Accepted: 11/14/2023] [Indexed: 11/30/2023] Open
Abstract
3D spheroids have emerged as powerful drug discovery tools given their high-throughput screening (HTS) compatibility. Here, we describe a method for generating functional neural spheroids by cell-aggregation of differentiated human induced pluripotent stem cell (hiPSC)-derived neurons and astrocytes at cell type compositions mimicking specific regions of the human brain. Recordings of intracellular calcium oscillations were used as functional assays, and the utility of this spheroids system was shown through disease modeling, drug testing, and formation of assembloids to model neurocircuitry. As a proof of concept, we generated spheroids incorporating neurons with Alzheimer's disease-associated alleles, as well as opioid use disorder modeling spheroids induced by chronic treatment of a mu-opioid receptor agonist. We reversed baseline functional deficits in each pilot disease model with clinically approved treatments and showed that assembloid activity can be chemogenetically manipulated. Here, we lay the groundwork for brain region-specific neural spheroids as a robust functional assay platform for HTS studies.
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Affiliation(s)
- Caroline E Strong
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, 9800 Medical Center Drive, Rockville, MD, 20850, USA
| | - Jiajing Zhang
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, 9800 Medical Center Drive, Rockville, MD, 20850, USA
| | - Martin Carrasco
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, 9800 Medical Center Drive, Rockville, MD, 20850, USA
| | - Srikanya Kundu
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, 9800 Medical Center Drive, Rockville, MD, 20850, USA
| | - Molly Boutin
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, 9800 Medical Center Drive, Rockville, MD, 20850, USA
| | - Harshad D Vishwasrao
- Advanced Imaging and Microscopy Resource, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Jiamin Liu
- Advanced Imaging and Microscopy Resource, National Institutes of Health, Bethesda, MD, 20892, USA
| | - Angelica Medina
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, 9800 Medical Center Drive, Rockville, MD, 20850, USA
| | - Yu-Chi Chen
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, 9800 Medical Center Drive, Rockville, MD, 20850, USA
| | - Kelli Wilson
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, 9800 Medical Center Drive, Rockville, MD, 20850, USA
| | - Emily M Lee
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, 9800 Medical Center Drive, Rockville, MD, 20850, USA.
| | - Marc Ferrer
- Division of Preclinical Innovation, National Center for Advancing Translational Sciences (NCATS), National Institutes of Health, 9800 Medical Center Drive, Rockville, MD, 20850, USA.
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Jordan R, Ford-Scheimer SL, Alarcon RM, Atala A, Borenstein JT, Brimacombe KR, Cherry S, Clevers H, Davis MI, Funnell SGP, Gehrke L, Griffith LG, Grossman AC, Hartung T, Ingber DE, Kleinstreuer NC, Kuo CJ, Lee EM, Mummery CL, Pickett TE, Ramani S, Rosado-Olivieri EA, Struble EB, Wan Z, Williams MS, Hall MD, Ferrer M, Markossian S. Report of the Assay Guidance Workshop on 3-Dimensional Tissue Models for Antiviral Drug Development. J Infect Dis 2023; 228:S337-S354. [PMID: 37669225 PMCID: PMC10547463 DOI: 10.1093/infdis/jiad334] [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] [Indexed: 09/07/2023] Open
Abstract
The National Center for Advancing Translational Sciences (NCATS) Assay Guidance Manual (AGM) Workshop on 3D Tissue Models for Antiviral Drug Development, held virtually on 7-8 June 2022, provided comprehensive coverage of critical concepts intended to help scientists establish robust, reproducible, and scalable 3D tissue models to study viruses with pandemic potential. This workshop was organized by NCATS, the National Institute of Allergy and Infectious Diseases, and the Bill and Melinda Gates Foundation. During the workshop, scientific experts from academia, industry, and government provided an overview of 3D tissue models' utility and limitations, use of existing 3D tissue models for antiviral drug development, practical advice, best practices, and case studies about the application of available 3D tissue models to infectious disease modeling. This report includes a summary of each workshop session as well as a discussion of perspectives and challenges related to the use of 3D tissues in antiviral drug discovery.
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Affiliation(s)
- Robert Jordan
- Bill and Melinda Gates Foundation, Seattle, Washington, USA
| | - Stephanie L Ford-Scheimer
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - Rodolfo M Alarcon
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Anthony Atala
- Wake Forest Institute for Regenerative Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | | | - Kyle R Brimacombe
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - Sara Cherry
- Department of Pathology and Laboratory Medicine, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | | | - Mindy I Davis
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Simon G P Funnell
- UK Health Security Agency, Salisbury, United Kingdom
- Quadram Institute Bioscience, Norwich, United Kingdom
| | - Lee Gehrke
- Institute for Medical Engineering and Science, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Linda G Griffith
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
- Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Abigail C Grossman
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - Thomas Hartung
- Department of Environmental Health and Engineering, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
- Department of Molecular Microbiology and Immunology, Bloomberg School of Public Health, Johns Hopkins University, Baltimore, Maryland, USA
| | - Donald E Ingber
- Harvard Medical School, Boston, Massachusetts, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA
- Harvard School of Engineering and Applied Sciences, Cambridge, Massachusetts, USA
- Boston Children's Hospital, Boston, Massachusetts, USA
| | - Nicole C Kleinstreuer
- National Institute of Environmental Health Sciences, National Institutes of Health, Research Triangle, North Carolina, USA
| | - Calvin J Kuo
- Department of Medicine, Division of Hematology, Stanford University School of Medicine, Stanford, California, USA
| | - Emily M Lee
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | | | - Thames E Pickett
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Sasirekha Ramani
- Department of Molecular Virology and Microbiology, Baylor College of Medicine, Houston, Texas, USA
| | | | - Evi B Struble
- US Food and Drug Administration, Silver Spring, Maryland, USA
| | - Zhengpeng Wan
- Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, USA
| | - Mark S Williams
- National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, Maryland, USA
| | - Matthew D Hall
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - Marc Ferrer
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
| | - Sarine Markossian
- National Center for Advancing Translational Sciences, National Institutes of Health, Rockville, Maryland, USA
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6
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Krawczyk E, Kitlińska J. Preclinical Models of Neuroblastoma-Current Status and Perspectives. Cancers (Basel) 2023; 15:3314. [PMID: 37444423 PMCID: PMC10340830 DOI: 10.3390/cancers15133314] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 06/19/2023] [Accepted: 06/21/2023] [Indexed: 07/15/2023] Open
Abstract
Preclinical in vitro and in vivo models remain indispensable tools in cancer research. These classic models, including two- and three-dimensional cell culture techniques and animal models, are crucial for basic and translational studies. However, each model has its own limitations and typically does not fully recapitulate the course of the human disease. Therefore, there is an urgent need for the development of novel, advanced systems that can allow for efficient evaluation of the mechanisms underlying cancer development and progression, more accurately reflect the disease pathophysiology and complexity, and effectively inform therapeutic decisions for patients. Preclinical models are especially important for rare cancers, such as neuroblastoma, where the availability of patient-derived specimens that could be used for potential therapy evaluation and screening is limited. Neuroblastoma modeling is further complicated by the disease heterogeneity. In this review, we present the current status of preclinical models for neuroblastoma research, discuss their development and characteristics emphasizing strengths and limitations, and describe the necessity of the development of novel, more advanced and clinically relevant approaches.
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Affiliation(s)
- Ewa Krawczyk
- Department of Pathology, Center for Cell Reprogramming, Georgetown University Medical Center, Washington, DC 20057, USA
| | - Joanna Kitlińska
- Department of Biochemistry and Molecular & Cellular Biology, Georgetown University Medical Center, Washington, DC 20057, USA
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High throughput 3D gel-based neural organotypic model for cellular assays using fluorescence biosensors. Commun Biol 2022; 5:1236. [PMID: 36371462 PMCID: PMC9653447 DOI: 10.1038/s42003-022-04177-z] [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: 02/25/2022] [Accepted: 10/27/2022] [Indexed: 11/13/2022] Open
Abstract
Three-dimensional (3D) organotypic models that capture native-like physiological features of tissues are being pursued as clinically predictive assays for therapeutics development. A range of these models are being developed to mimic brain morphology, physiology, and pathology of neurological diseases. Biofabrication of 3D gel-based cellular systems is emerging as a versatile technology to produce spatially and cell-type tailored, physiologically complex and native-like tissue models. Here we produce 3D fibrin gel-based functional neural co-culture models with human-iPSC differentiated dopaminergic or glutamatergic neurons and astrocytes. We further introduce genetically encoded fluorescence biosensors and optogenetics activation for real time functional measurements of intracellular calcium and levels of dopamine and glutamate neurotransmitters, in a high-throughput compatible plate format. We use pharmacological perturbations to demonstrate that the drug responses of 3D gel-based neural models are like those expected from in-vivo data, and in some cases, in contrast to those observed in the equivalent 2D neural models. Fibrin gel-based 3D co-culture models with human-iPSC differentiated dopaminergic or glutamatergic neurons and astrocytes are shown to be functional using biosensors and can be scaled up for high-throughput assays.
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Lin WJ. The Dawn of a New Era in Drug Discovery? Drug Screening and the Increasing Biological Complexity of Testing Models. Chem Res Toxicol 2022; 35:5-6. [PMID: 34918914 PMCID: PMC9532213 DOI: 10.1021/acs.chemrestox.1c00331] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Abstract
Whole-organism phenotype screening and complex in vitro model technology increase the likelihood in identifying successful lead compounds and lower drug attrition rates at later and more expensive stages of the drug discovery process.
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Affiliation(s)
- Wen-Jen Lin
- Department of Chemistry, University of California, Davis, Davis, California 95616, United States
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