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Pham DL, Gillette AA, Riendeau J, Wiech K, Guzman EC, Datta R, Skala MC. Perspectives on label-free microscopy of heterogeneous and dynamic biological systems. JOURNAL OF BIOMEDICAL OPTICS 2025; 29:S22702. [PMID: 38434231 PMCID: PMC10903072 DOI: 10.1117/1.jbo.29.s2.s22702] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 11/22/2023] [Accepted: 12/14/2023] [Indexed: 03/05/2024]
Abstract
Significance Advancements in label-free microscopy could provide real-time, non-invasive imaging with unique sources of contrast and automated standardized analysis to characterize heterogeneous and dynamic biological processes. These tools would overcome challenges with widely used methods that are destructive (e.g., histology, flow cytometry) or lack cellular resolution (e.g., plate-based assays, whole animal bioluminescence imaging). Aim This perspective aims to (1) justify the need for label-free microscopy to track heterogeneous cellular functions over time and space within unperturbed systems and (2) recommend improvements regarding instrumentation, image analysis, and image interpretation to address these needs. Approach Three key research areas (cancer research, autoimmune disease, and tissue and cell engineering) are considered to support the need for label-free microscopy to characterize heterogeneity and dynamics within biological systems. Based on the strengths (e.g., multiple sources of molecular contrast, non-invasive monitoring) and weaknesses (e.g., imaging depth, image interpretation) of several label-free microscopy modalities, improvements for future imaging systems are recommended. Conclusion Improvements in instrumentation including strategies that increase resolution and imaging speed, standardization and centralization of image analysis tools, and robust data validation and interpretation will expand the applications of label-free microscopy to study heterogeneous and dynamic biological systems.
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Affiliation(s)
- Dan L. Pham
- University of Wisconsin—Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | | | | | - Kasia Wiech
- University of Wisconsin—Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
| | | | - Rupsa Datta
- Morgridge Institute for Research, Madison, Wisconsin, United States
| | - Melissa C. Skala
- University of Wisconsin—Madison, Department of Biomedical Engineering, Madison, Wisconsin, United States
- Morgridge Institute for Research, Madison, Wisconsin, United States
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2
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Mao Y, Hu H. Establishment of advanced tumor organoids with emerging innovative technologies. Cancer Lett 2024; 598:217122. [PMID: 39029781 DOI: 10.1016/j.canlet.2024.217122] [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: 03/21/2024] [Revised: 06/21/2024] [Accepted: 07/12/2024] [Indexed: 07/21/2024]
Abstract
Tumor organoids have emerged as a crucial preclinical model for multiple cancer research. Their high establishment rates, stability, and ability to replicate key biological features of original tumor cells in vivo render them invaluable for exploring tumor molecular mechanisms, discovering potential anti-tumor drugs, and predicting clinical drug efficacy. Here, we review the establishment of tumor organoid models and provide an extensive overview of organoid culturing strategies. We also emphasize the significance of integrating cellular components of the tumor microenvironment and physicochemical factors in the organoid culturing system, highlighting the importance of artificial intelligence technology in advancing organoid construction. Moreover, we summarize recent advancements in utilizing organoid systems for novel anti-cancer drug screening and discuss promising trends for enhancing advanced organoids in next-generation disease modeling.
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Affiliation(s)
- Yunuo Mao
- The Key Laboratory of Experimental Teratology, Ministry of Education, Department of Systems Biomedicine, School of Basic Medical Sciences, Shandong University, Jinan, 250012, PR China
| | - Huili Hu
- The Key Laboratory of Experimental Teratology, Ministry of Education, Department of Systems Biomedicine, School of Basic Medical Sciences, Shandong University, Jinan, 250012, PR China.
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3
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McCartan AJS, Mrsny RJ. In vitro modelling of intramuscular injection site events. Expert Opin Drug Deliv 2024:1-19. [PMID: 39126130 DOI: 10.1080/17425247.2024.2388841] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2023] [Revised: 07/08/2024] [Accepted: 08/01/2024] [Indexed: 08/12/2024]
Abstract
INTRODUCTION Intramuscular (IM) injections deliver a plethora of drugs. The majority of IM-related literature details dissolution and/or pharmacokinetic (PK) studies, using methods with limited assessments of post-injection events that can impact drug fate, and absorption parameters. Food and Drug Association guidelines no longer require preclinical in vivo modeling in the U.S.A. Preclinical animal models fail to correlate with clinical outcomes, highlighting the need to study, and understand, IM drug fate in vitro using bespoke models emulating human IM sites. Post-IM injection events, i.e. underlying processes that influence PK outcomes, remain unacknowledged, complicating the application of in vitro methods in preclinical drug development. Understanding such events could guide approaches to predict and modulate IM drug fate in humans. AREAS COVERED This article reviews challenges in biorelevant IM site modeling (i.e. modeling drug fate outcomes), the value of technologies available for developing IM injectables, methods for studying drug fate, and technologies for training in performing IM administrations. PubMed, Web-of-Science, and Lens databases provided papers published between 2014 and 2024. EXPERT OPINION IM drug research is expanding what injectable therapeutics can achieve. However, post-injection events that influence PK outcomes remain poorly understood. Until addressed, advances in IM drug development will not realize their full potential.
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Affiliation(s)
- Adam J S McCartan
- Department of Life Sciences, Centre for Therapeutic Innovation, University of Bath, Bath, UK
| | - Randall J Mrsny
- Department of Life Sciences, Centre for Therapeutic Innovation, University of Bath, Bath, UK
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4
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Gunnarsson EB, Kim S, Choi B, Schmid JK, Kaura K, Lenz HJ, Mumenthaler SM, Foo J. Understanding patient-derived tumor organoid growth through an integrated imaging and mathematical modeling framework. PLoS Comput Biol 2024; 20:e1012256. [PMID: 39093897 PMCID: PMC11324155 DOI: 10.1371/journal.pcbi.1012256] [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: 05/01/2024] [Revised: 08/14/2024] [Accepted: 06/11/2024] [Indexed: 08/04/2024] Open
Abstract
Patient-derived tumor organoids (PDTOs) are novel cellular models that maintain the genetic, phenotypic and structural features of patient tumor tissue and are useful for studying tumorigenesis and drug response. When integrated with advanced 3D imaging and analysis techniques, PDTOs can be used to establish physiologically relevant high-throughput and high-content drug screening platforms that support the development of patient-specific treatment strategies. However, in order to effectively leverage high-throughput PDTO observations for clinical predictions, it is critical to establish a quantitative understanding of the basic properties and variability of organoid growth dynamics. In this work, we introduced an innovative workflow for analyzing and understanding PDTO growth dynamics, by integrating a high-throughput imaging deep learning platform with mathematical modeling, incorporating flexible growth laws and variable dormancy times. We applied the workflow to colon cancer organoids and demonstrated that organoid growth is well-described by the Gompertz model of growth. Our analysis showed significant intrapatient heterogeneity in PDTO growth dynamics, with the initial exponential growth rate of an organoid following a lognormal distribution within each dataset. The level of intrapatient heterogeneity varied between patients, as did organoid growth rates and dormancy times of single seeded cells. Our work contributes to an emerging understanding of the basic growth characteristics of PDTOs, and it highlights the heterogeneity in organoid growth both within and between patients. These results pave the way for further modeling efforts aimed at predicting treatment response dynamics and drug resistance timing.
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Affiliation(s)
- Einar Bjarki Gunnarsson
- Applied Mathematics Division, Science Institute, University of Iceland, Reykjavík, Iceland
- School of Mathematics, University of Minnesota, Twin Cities, Minnesota, United States of America
| | - Seungil Kim
- Ellison Institute of Technology, Los Angeles, California, United States of America
| | - Brandon Choi
- Ellison Institute of Technology, Los Angeles, California, United States of America
- Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - J. Karl Schmid
- School of Mathematics, University of Minnesota, Twin Cities, Minnesota, United States of America
| | - Karn Kaura
- The Blake School, Minneapolis, Minnesota, United States of America
| | - Heinz-Josef Lenz
- Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
| | - Shannon M. Mumenthaler
- Ellison Institute of Technology, Los Angeles, California, United States of America
- Keck School of Medicine, University of Southern California, Los Angeles, California, United States of America
- Department of Biomedical Engineering, Viterbi School of Engineering, University of Southern California, Los Angeles, California, United States of America
| | - Jasmine Foo
- School of Mathematics, University of Minnesota, Twin Cities, Minnesota, United States of America
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5
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Gurwitz D, Steeg R. Enriching iPSC research diversity: Harnessing human biobank collections for improved ethnic representation. Drug Dev Res 2024; 85:e22227. [PMID: 38943497 DOI: 10.1002/ddr.22227] [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: 04/21/2024] [Revised: 06/09/2024] [Accepted: 06/14/2024] [Indexed: 07/01/2024]
Abstract
Biobanks of human biosamples and cell lines are indispensable for biomedical research on human health and disease and for drug development projects. Many human cell line biobanks worldwide hold collections of lymphoblastoid cell lines (LCLs), representing thousands of affected and control donors from diverse ethnic/ancestry groups. In recent years, induced human pluripotent stem cells (iPSCs) and differentiated human cells derived from these iPSCs have become indispensable for applied biomedical research. Establishing iPSCs remains a laborious and costly step towards generating differentiated human cells. To address this research need, several non-profit and commercial biobanks have established iPSC collections for distribution to researchers, thereby serving as a resource for generating differentiated human cells. The most common starting materials for generation of iPSCs are a skin biopsy for harvesting fibroblasts, or a blood sample for collection of peripheral blood mononuclear cells. However untapped resources include the large established collections of biobanked human LCLs which can be reprogrammed to iPSCs using a variety of published protocols including the use of non-integrating episomal vectors. Many biobanks curate LCLs from diverse ethnic/ancestry populations, an aspect largely absent in most established iPSC biobanks which tend to primarily reflect populations from developed countries. Here, we call upon researchers across the breadth of iPSC research to tap the unique resource of existing and diverse human LCL collections for establishing biobanked iPSC panels that better represent the varied human ethnic (and hence genomic) diversity, thereby benefiting precision medicine and drug development research on a global scale.
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Affiliation(s)
- David Gurwitz
- Department of Human Molecular Genetics and Biochemistry, Faculty of Medical and Health Sciences, Tel-Aviv University, Tel-Aviv, Israel
- Sagol School of Neuroscience, Tel-Aviv University, Tel-Aviv, Israel
| | - Rachel Steeg
- European Bank for Induced Pluripotent Stem Cells, Fraunhofer UK Research Ltd, Glasgow, UK
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6
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Huang Y, Liu T, Huang Q, Wang Y. From Organ-on-a-Chip to Human-on-a-Chip: A Review of Research Progress and Latest Applications. ACS Sens 2024; 9:3466-3488. [PMID: 38991227 DOI: 10.1021/acssensors.4c00004] [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: 07/13/2024]
Abstract
Organ-on-a-Chip (OOC) technology, which emulates the physiological environment and functionality of human organs on a microfluidic chip, is undergoing significant technological advancements. Despite its rapid evolution, this technology is also facing notable challenges, such as the lack of vascularization, the development of multiorgan-on-a-chip systems, and the replication of the human body on a single chip. The progress of microfluidic technology has played a crucial role in steering OOC toward mimicking the human microenvironment, including vascularization, microenvironment replication, and the development of multiorgan microphysiological systems. Additionally, advancements in detection, analysis, and organoid imaging technologies have enhanced the functionality and efficiency of Organs-on-Chips (OOCs). In particular, the integration of artificial intelligence has revolutionized organoid imaging, significantly enhancing high-throughput drug screening. Consequently, this review covers the research progress of OOC toward Human-on-a-chip, the integration of sensors in OOCs, and the latest applications of organoid imaging technologies in the biomedical field.
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Affiliation(s)
- Yisha Huang
- Frontiers Medical Center, Tianfu Jincheng Laboratory, Chengdu, Sichuan 610212, China
| | - Tong Liu
- Department of Respiratory and Critical Care Medicine, Targeted Tracer Research and Development Laboratory, Institute of Respiratory Health, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
| | - Qi Huang
- School of Information Engineering, Shanghai Maritime University, Shanghai 201306, China
| | - Yuxi Wang
- Department of Respiratory and Critical Care Medicine, Targeted Tracer Research and Development Laboratory, Institute of Respiratory Health, State Key Laboratory of Biotherapy, West China Hospital, Sichuan University, Chengdu, Sichuan 610041, China
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7
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Gopallawa I, Gupta C, Jawa R, Cyril A, Jawa V, Chirmule N, Gujar V. Applications of Organoids in Advancing Drug Discovery and Development. J Pharm Sci 2024:S0022-3549(24)00233-8. [PMID: 39002723 DOI: 10.1016/j.xphs.2024.06.016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2024] [Revised: 06/14/2024] [Accepted: 06/14/2024] [Indexed: 07/15/2024]
Abstract
Organoids are small, self-organizing three-dimensional cell cultures that are derived from stem cells or primary organs. These cultures replicate the complexity of an organ, which cannot be achieved by single-cell culture systems. Organoids can be used in testing of new drugs instead of animals. Development and validation of organoids is thus important to reduce the reliance on animals for drug testing. In this review, we have discussed the developmental and regulatory aspects of organoids and highlighted their importance in drug development. We have first summarized different types of culture-based organoid systems such as submerged Matrigel, micro-fluidic 3D cultures, inducible pluripotent stem cells, and air-liquid interface cultures. These systems help us understand the intricate interplay between cells and their surrounding milieu for identifying functions of target receptors, soluble factors, and spatial interactions. Further, we have discussed the advances in humanized severe-combined immunodeficiency mouse models and their applications in the pharmacology of immune-oncology. Since regulatory aspects are important in using organoids for drug development, we have summarized FDA and EMA regulations on organoid research to support pre-clinical studies. Finally, we have included some unique studies highlighting the use of organoids in studying infectious diseases, cancer, and fundamental biology. These studies also exemplify the latest technological advances in organoid development resulting in improved efficiency. Overall, this review comprehensively summarizes the applications of organoids in early drug development during discovery and pre-clinical studies.
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Affiliation(s)
- Indiwari Gopallawa
- Clinical Pharmacology & Safety Sciences, Biopharmaceuticals R&D, AstraZeneca, Gaithersburg, USA
| | | | - Rayan Jawa
- University of Pennsylvania, Philadelphia, PA, USA
| | - Arya Cyril
- Department of Psychology, University of California at Los Angeles, Los Angeles, CA, USA
| | - Vibha Jawa
- Bristol Myers Squibb, Lawrenceville, NY, USA.
| | | | - Vikramsingh Gujar
- Anatomy and Cell Biology, Oklahoma State University Center for Health Sciences, Tulsa, OK, USA
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8
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Shao W, Yang Y, Shen W, Ren L, WenwenWang, Zhu P. Hyaluronic acid-conjugated methotrexate and 5-fluorouracil for targeted drug delivery. Int J Biol Macromol 2024; 273:132671. [PMID: 38823747 DOI: 10.1016/j.ijbiomac.2024.132671] [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: 02/06/2024] [Revised: 05/10/2024] [Accepted: 05/24/2024] [Indexed: 06/03/2024]
Abstract
The delivery of chemotherapeutical drugs via nanomaterials has become a focus of pharmaceutical research over several decades due to improved drug delivery to cancer cells, decreased side effects on normal tissues, and increased therapeutic efficacy. Herein, a novel hyaluronic acid-conjugated methotrexate and 5-fluorouracil nanodrug system has been developed to address the critical limitations associated with the high toxicity and side effects of methotrexate and 5-fluorouracil. Furthermore, this nanodrug system enhances the targeting capacity of drug molecules and facilitates the potential integration of multimodal drug therapies. Concomitantly, the synergistic effects of MTX with 5-fluorouracil have been shown to improve the therapeutic index of MTX while attenuating the associated toxicities of MTX. The structure and micromorphology of the novel nanodrug can be confirmed by 1HNMR, FT-IR, UV-Vis, DLS, TEM, and AFM. Due to the ability of HA to bind to CD44 receptors activated on the surface of cancer cells and its enhanced permeability and retention (EPR) effect, the novel nanodrug we designed and synthesized can effectively target cancer cells. Cell counting Kit-8 (CCK8), flow cytometry, and live-dead staining assays in vitro showed that this nanodrug system had high targeting and antitumor activity against CD44 receptors. By using drugs to act on patient-derived colorectal, liver, and breast cancer organoids, the anticancer effect of the nanodrug was identified and verified. These results showed that the nanodrug system developed in this study may have great potential as a targeted therapy for cancer.
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Affiliation(s)
- Wanfei Shao
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou 225002, PR China
| | - Yanfang Yang
- Guangxi Zhuoqiang Technology Co. LTD, Nanning, Guangxi 530000, China
| | - Weidong Shen
- Department of Gastroenterology, Jiangyin People's Hospital Affiliated to Nantong University, Jiangyin, China.
| | - Lei Ren
- Nanjing University of Chinese Medicine Affiliated Jiangyin Traditional Chinese Medicine Hospital, Jiangyin 214400, Jiangsu, China
| | - WenwenWang
- Nanjing University of Chinese Medicine Affiliated Jiangyin Traditional Chinese Medicine Hospital, Jiangyin 214400, Jiangsu, China
| | - Peizhi Zhu
- School of Chemistry and Chemical Engineering, Yangzhou University, Yangzhou 225002, PR China.
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9
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Zhou J, Huang Y, Wang W, Li J, Hou Y, Yi Z, Yang H, Hu K, Zhu Y, Wang Z, Ma S. Chronotoxici-Plate Containing Droplet-Engineered Rhythmic Liver Organoids for Drug Toxicity Evaluation. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2305925. [PMID: 38720476 PMCID: PMC11267367 DOI: 10.1002/advs.202305925] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Revised: 02/01/2024] [Indexed: 07/25/2024]
Abstract
The circadian clock coordinates the daily rhythmicity of biological processes, and its dysregulation is associated with various human diseases. Despite the direct targeting of rhythmic genes by many prevalent and World Health Organization (WHO) essential drugs, traditional approaches can't satisfy the need of explore multi-timepoint drug administration strategies across a wide range of drugs. Here, droplet-engineered primary liver organoids (DPLOs) are generated with rhythmic characteristics in 4 days, and developed Chronotoxici-plate as an in vitro high-throughput automated rhythmic tool for chronotherapy assessment within 7 days. Cryptochrome 1 (Cry1) is identified as a rhythmic marker in DPLOs, providing insights for rapid assessment of organoid rhythmicity. Using oxaliplatin as a representative drug, time-dependent variations are demonstrated in toxicity on the Chronotoxici-plate, highlighting the importance of considering time-dependent effects. Additionally, the role of chronobiology is underscored in primary organoid modeling. This study may provide tools for both precision chronotherapy and chronotoxicity in drug development by optimizing administration timing.
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Affiliation(s)
- Jiaqi Zhou
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhen518055China
- Tsinghua‐Berkeley Shenzhen Institute (TBSI)Shenzhen518055China
| | - Yi‐chun Huang
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhen518055China
| | - Wanlong Wang
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhen518055China
- Tsinghua‐Berkeley Shenzhen Institute (TBSI)Shenzhen518055China
| | - Jiawei Li
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhen518055China
- Tsinghua‐Berkeley Shenzhen Institute (TBSI)Shenzhen518055China
| | - Yibo Hou
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhen518055China
| | - Ziqi Yi
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhen518055China
| | - Haowei Yang
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhen518055China
- Tsinghua‐Berkeley Shenzhen Institute (TBSI)Shenzhen518055China
| | - Keer Hu
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhen518055China
| | - Yu Zhu
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhen518055China
| | - Zitian Wang
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhen518055China
| | - Shaohua Ma
- Tsinghua Shenzhen International Graduate School (SIGS)Tsinghua UniversityShenzhen518055China
- Tsinghua‐Berkeley Shenzhen Institute (TBSI)Shenzhen518055China
- Key Lab of Industrial Biocatalysis Ministry of EducationTsinghua UniversityBeijing100084China
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10
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Yan Y, Cho AN. Human Brain In Vitro Model for Pathogen Infection-Related Neurodegeneration Study. Int J Mol Sci 2024; 25:6522. [PMID: 38928228 PMCID: PMC11204318 DOI: 10.3390/ijms25126522] [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: 04/15/2024] [Revised: 05/21/2024] [Accepted: 06/10/2024] [Indexed: 06/28/2024] Open
Abstract
Recent advancements in stem cell biology and tissue engineering have revolutionized the field of neurodegeneration research by enabling the development of sophisticated in vitro human brain models. These models, including 2D monolayer cultures, 3D organoids, organ-on-chips, and bioengineered 3D tissue models, aim to recapitulate the cellular diversity, structural organization, and functional properties of the native human brain. This review highlights how these in vitro brain models have been used to investigate the effects of various pathogens, including viruses, bacteria, fungi, and parasites infection, particularly in the human brain cand their subsequent impacts on neurodegenerative diseases. Traditional studies have demonstrated the susceptibility of different 2D brain cell types to infection, elucidated the mechanisms underlying pathogen-induced neuroinflammation, and identified potential therapeutic targets. Therefore, current methodological improvement brought the technology of 3D models to overcome the challenges of 2D cells, such as the limited cellular diversity, incomplete microenvironment, and lack of morphological structures by highlighting the need for further technological advancements. This review underscored the significance of in vitro human brain cell from 2D monolayer to bioengineered 3D tissue model for elucidating the intricate dynamics for pathogen infection modeling. These in vitro human brain cell enabled researchers to unravel human specific mechanisms underlying various pathogen infections such as SARS-CoV-2 to alter blood-brain-barrier function and Toxoplasma gondii impacting neural cell morphology and its function. Ultimately, these in vitro human brain models hold promise as personalized platforms for development of drug compound, gene therapy, and vaccine. Overall, we discussed the recent progress in in vitro human brain models, their applications in studying pathogen infection-related neurodegeneration, and future directions.
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Affiliation(s)
- Yuwei Yan
- School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Darlington, NSW 2008, Australia;
- The University of Sydney Nano Institute (Sydney Nano), The University of Sydney, Camperdown, NSW 2050, Australia
| | - Ann-Na Cho
- School of Biomedical Engineering, Faculty of Engineering, The University of Sydney, Darlington, NSW 2008, Australia;
- The University of Sydney Nano Institute (Sydney Nano), The University of Sydney, Camperdown, NSW 2050, Australia
- Charles Perkins Centre, The University of Sydney, Camperdown, NSW 2006, Australia
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11
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Lee G, Kim SJ, Park JK. Bioprinted Multi-Composition Array Mimicking Tumor Microenvironments to Evaluate Drug Efficacy with Multivariable Analysis. Adv Healthc Mater 2024:e2303716. [PMID: 38830208 DOI: 10.1002/adhm.202303716] [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: 10/26/2023] [Revised: 05/03/2024] [Indexed: 06/05/2024]
Abstract
Current organ-on-a-chip technologies confront limitations in effectively recapitulating the intricate in vivo microenvironments and accommodating diverse experimental conditions on a single device. Here, a novel approach for constructing a multi-composition tumor array on a single microfluidic device, mimicking complex transport phenomena within tumor microenvironments (TMEs) and allowing for simultaneous evaluation of drug efficacy across 12 distinct conditions is presented. The TME array formed by bioprinting on a microfluidic substrate consists of 36 individual TME models, each characterized by one of three different compositions and tested under four varying drug concentrations. Notably, the TME model exhibits precise compartmentalization, fostering the development of self-organized vascular endothelial barriers surrounding breast cancer spheroids affecting substance transport. Multivariable screening and analysis of diverse conditions, including model complexity, replicates, and drug concentrations, within a single microfluidic platform, highlight the synergistic potential of integrating bioprinting with microfluidics to evaluate drug responses across diverse TME conditions comprehensively.
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Affiliation(s)
- Gihyun Lee
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea
| | - Soo Jee Kim
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea
| | - Je-Kyun Park
- Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea
- KI for Health Science and Technology, KAIST Institutes (KI), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea
- KI for Nanocentury, KAIST Institutes (KI), 291 Daehak-ro, Yuseong-gu, Daejeon, 34141, Republic of Korea
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12
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Liu Y, Uttam S. Perspective on quantitative phase imaging to improve precision cancer medicine. JOURNAL OF BIOMEDICAL OPTICS 2024; 29:S22705. [PMID: 38584967 PMCID: PMC10996848 DOI: 10.1117/1.jbo.29.s2.s22705] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 03/03/2024] [Accepted: 03/15/2024] [Indexed: 04/09/2024]
Abstract
Significance Quantitative phase imaging (QPI) offers a label-free approach to non-invasively characterize cellular processes by exploiting their refractive index based intrinsic contrast. QPI captures this contrast by translating refractive index associated phase shifts into intensity-based quantifiable data with nanoscale sensitivity. It holds significant potential for advancing precision cancer medicine by providing quantitative characterization of the biophysical properties of cells and tissue in their natural states. Aim This perspective aims to discuss the potential of QPI to increase our understanding of cancer development and its response to therapeutics. It also explores new developments in QPI methods towards advancing personalized cancer therapy and early detection. Approach We begin by detailing the technical advancements of QPI, examining its implementations across transmission and reflection geometries and phase retrieval methods, both interferometric and non-interferometric. The focus then shifts to QPI's applications in cancer research, including dynamic cell mass imaging for drug response assessment, cancer risk stratification, and in-vivo tissue imaging. Results QPI has emerged as a crucial tool in precision cancer medicine, offering insights into tumor biology and treatment efficacy. Its sensitivity to detecting nanoscale changes holds promise for enhancing cancer diagnostics, risk assessment, and prognostication. The future of QPI is envisioned in its integration with artificial intelligence, morpho-dynamics, and spatial biology, broadening its impact in cancer research. Conclusions QPI presents significant potential in advancing precision cancer medicine and redefining our approach to cancer diagnosis, monitoring, and treatment. Future directions include harnessing high-throughput dynamic imaging, 3D QPI for realistic tumor models, and combining artificial intelligence with multi-omics data to extend QPI's capabilities. As a result, QPI stands at the forefront of cancer research and clinical application in cancer care.
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Affiliation(s)
- Yang Liu
- University of Illinois Urbana-Champaign, Beckman Institute for Advanced Science and Technology, Cancer Center at Illinois, Department of Bioengineering, Department of Electrical and Computer Engineering, Urbana, Illinois, United States
- University of Pittsburgh, Departments of Medicine and Bioengineering, Pittsburgh, Pennsylvania, United States
| | - Shikhar Uttam
- University of Pittsburgh, Department of Computational and Systems Biology, Pittsburgh, Pennsylvania, United States
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13
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Kalla J, Pfneissl J, Mair T, Tran L, Egger G. A systematic review on the culture methods and applications of 3D tumoroids for cancer research and personalized medicine. Cell Oncol (Dordr) 2024:10.1007/s13402-024-00960-8. [PMID: 38806997 DOI: 10.1007/s13402-024-00960-8] [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] [Accepted: 05/11/2024] [Indexed: 05/30/2024] Open
Abstract
Cancer is a highly heterogeneous disease, and thus treatment responses vary greatly between patients. To improve therapy efficacy and outcome for cancer patients, more representative and patient-specific preclinical models are needed. Organoids and tumoroids are 3D cell culture models that typically retain the genetic and epigenetic characteristics, as well as the morphology, of their tissue of origin. Thus, they can be used to understand the underlying mechanisms of cancer initiation, progression, and metastasis in a more physiological setting. Additionally, co-culture methods of tumoroids and cancer-associated cells can help to understand the interplay between a tumor and its tumor microenvironment. In recent years, tumoroids have already helped to refine treatments and to identify new targets for cancer therapy. Advanced culturing systems such as chip-based fluidic devices and bioprinting methods in combination with tumoroids have been used for high-throughput applications for personalized medicine. Even though organoid and tumoroid models are complex in vitro systems, validation of results in vivo is still the common practice. Here, we describe how both animal- and human-derived tumoroids have helped to identify novel vulnerabilities for cancer treatment in recent years, and how they are currently used for precision medicine.
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Affiliation(s)
- Jessica Kalla
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Janette Pfneissl
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Theresia Mair
- Department of Pathology, Medical University of Vienna, Vienna, Austria
| | - Loan Tran
- Department of Pathology, Medical University of Vienna, Vienna, Austria
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria
| | - Gerda Egger
- Department of Pathology, Medical University of Vienna, Vienna, Austria.
- Ludwig Boltzmann Institute Applied Diagnostics, Vienna, Austria.
- Comprehensive Cancer Center, Medical University of Vienna, Vienna, Austria.
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14
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Nguyen HTL, Kohl E, Bade J, Eng SE, Tosevska A, Al Shihabi A, Tebon PJ, Hong JJ, Dry S, Boutros PC, Panossian A, Gosline SJC, Soragni A. A platform for rapid patient-derived cutaneous neurofibroma organoid establishment and screening. CELL REPORTS METHODS 2024; 4:100772. [PMID: 38744290 PMCID: PMC11133839 DOI: 10.1016/j.crmeth.2024.100772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/06/2023] [Revised: 02/10/2024] [Accepted: 04/19/2024] [Indexed: 05/16/2024]
Abstract
Localized cutaneous neurofibromas (cNFs) are benign tumors that arise in the dermis of patients affected by neurofibromatosis type 1 syndrome. cNFs are benign lesions: they do not undergo malignant transformation or metastasize. Nevertheless, they can cover a significant proportion of the body, with some individuals developing hundreds to thousands of lesions. cNFs can cause pain, itching, and disfigurement resulting in substantial socio-emotional repercussions. Currently, surgery and laser desiccation are the sole treatment options but may result in scarring and potential regrowth from incomplete removal. To identify effective systemic therapies, we introduce an approach to establish and screen cNF organoids. We optimized conditions to support the ex vivo growth of genomically diverse cNFs. Patient-derived cNF organoids closely recapitulate cellular and molecular features of parental tumors as measured by immunohistopathology, methylation, RNA sequencing, and flow cytometry. Our cNF organoid platform enables rapid screening of hundreds of compounds in a patient- and tumor-specific manner.
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Affiliation(s)
- Huyen Thi Lam Nguyen
- Department of Orthopaedic Surgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Emily Kohl
- Department of Orthopaedic Surgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jessica Bade
- Pacific Northwest National Laboratories, Seattle, WA, USA
| | - Stefan E Eng
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA; Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA
| | - Anela Tosevska
- Department of Molecular, Cell and Developmental Biology, University of California, Los Angeles, Los Angeles, CA, USA
| | - Ahmad Al Shihabi
- Department of Orthopaedic Surgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; Department of Pathology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Peyton J Tebon
- Department of Orthopaedic Surgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Jenny J Hong
- Division of Hematology-Oncology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Sarah Dry
- Department of Pathology, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA
| | - Paul C Boutros
- Department of Human Genetics, University of California, Los Angeles, Los Angeles, CA, USA; Institute for Precision Health, University of California, Los Angeles, Los Angeles, CA, USA; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA; Department of Urology, University of California, Los Angeles, Los Angeles, CA, USA; Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, USA
| | | | - Sara J C Gosline
- Pacific Northwest National Laboratories, Seattle, WA, USA; Department of Biomedical Engineering, Oregon Health and Sciences University, Portland, OR, USA.
| | - Alice Soragni
- Department of Orthopaedic Surgery, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, USA; Jonsson Comprehensive Cancer Center, University of California, Los Angeles, Los Angeles, CA, USA; Eli and Edythe Broad Center of Regenerative Medicine and Stem Cell Research, University of California, Los Angeles, Los Angeles, CA, USA.
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15
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Ciucci G, Braga L, Zacchigna S. Discovery platforms for RNA therapeutics. Br J Pharmacol 2024. [PMID: 38760893 DOI: 10.1111/bph.16424] [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: 11/29/2023] [Revised: 04/14/2024] [Accepted: 04/19/2024] [Indexed: 05/20/2024] Open
Abstract
RNA therapeutics are emerging as a unique opportunity to drug currently "undruggable" molecules and diseases. While their advantages over conventional, small molecule drugs, their therapeutic implications and the tools for their effective in vivo delivery have been extensively reviewed, little attention has been so far paid to the technological platforms exploited for the discovery of RNA therapeutics. Here, we provide an overview of the existing platforms and ex vivo assays for RNA discovery, their advantages and disadvantages, as well as their main fields of application, with specific focus on RNA therapies that have reached either phase 3 or market approval.
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Affiliation(s)
- Giulio Ciucci
- Cardiovascular Biology Laboratory, International Centre for Genetic Engineering and Biotechnology, Trieste, Italy
| | - Luca Braga
- Functional Cell Biology Laboratory, International Centre for Genetic Engineering and Biotechnology, Trieste, Italy
| | - Serena Zacchigna
- Cardiovascular Biology Laboratory, International Centre for Genetic Engineering and Biotechnology, Trieste, Italy
- Department of Medicine, Surgery and Health Sciences, University of Trieste, Trieste, Italy
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16
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Wang F, Song P, Wang J, Wang S, Liu Y, Bai L, Su J. Organoid bioinks: construction and application. Biofabrication 2024; 16:032006. [PMID: 38697093 DOI: 10.1088/1758-5090/ad467c] [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: 11/23/2023] [Accepted: 05/02/2024] [Indexed: 05/04/2024]
Abstract
Organoids have emerged as crucial platforms in tissue engineering and regenerative medicine but confront challenges in faithfully mimicking native tissue structures and functions. Bioprinting technologies offer a significant advancement, especially when combined with organoid bioinks-engineered formulations designed to encapsulate both the architectural and functional elements of specific tissues. This review provides a rigorous, focused examination of the evolution and impact of organoid bioprinting. It emphasizes the role of organoid bioinks that integrate key cellular components and microenvironmental cues to more accurately replicate native tissue complexity. Furthermore, this review anticipates a transformative landscape invigorated by the integration of artificial intelligence with bioprinting techniques. Such fusion promises to refine organoid bioink formulations and optimize bioprinting parameters, thus catalyzing unprecedented advancements in regenerative medicine. In summary, this review accentuates the pivotal role and transformative potential of organoid bioinks and bioprinting in advancing regenerative therapies, deepening our understanding of organ development, and clarifying disease mechanisms.
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Affiliation(s)
- Fuxiao Wang
- Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai 200444, People's Republic of China
- National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai 200444, People's Republic of China
- These authors contributed equally
| | - Peiran Song
- Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai 200444, People's Republic of China
- National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai 200444, People's Republic of China
- These authors contributed equally
| | - Jian Wang
- Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai 200444, People's Republic of China
- National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai 200444, People's Republic of China
- These authors contributed equally
| | - Sicheng Wang
- Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai 200444, People's Republic of China
- National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai 200444, People's Republic of China
- Department of Orthopedics, Shanghai Zhongye Hospital, Shanghai 200444, People's Republic of China
| | - Yuanyuan Liu
- School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, People's Republic of China
| | - Long Bai
- Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai 200444, People's Republic of China
- National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai 200444, People's Republic of China
- Wenzhou Institute of Shanghai University, Wenzhou 325000, People's Republic of China
| | - Jiacan Su
- Organoid Research Center, Institute of Translational Medicine, Shanghai University, Shanghai 200444, People's Republic of China
- Department of Orthopedics, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai 200092, People's Republic of China
- National Center for Translational Medicine (Shanghai) SHU Branch, Shanghai University, Shanghai 200444, People's Republic of China
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17
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Ahmad Zawawi SS, Salleh EA, Musa M. Spheroids and organoids derived from colorectal cancer as tools for in vitro drug screening. EXPLORATION OF TARGETED ANTI-TUMOR THERAPY 2024; 5:409-431. [PMID: 38745769 PMCID: PMC11090692 DOI: 10.37349/etat.2024.00226] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Accepted: 02/02/2024] [Indexed: 05/16/2024] Open
Abstract
Colorectal cancer (CRC) is a heterogeneous disease. Conventional two-dimensional (2D) culture employing cell lines was developed to study the molecular properties of CRC in vitro. Although these cell lines which are isolated from the tumor niche in which cancer develop, the translation to human model such as studying drug response is often hindered by the inability of cell lines to recapture original tumor features and the lack of heterogeneous clinical tumors represented by this 2D model, differed from in vivo condition. These limitations which may be overcome by utilizing three-dimensional (3D) culture consisting of spheroids and organoids. Over the past decade, great advancements have been made in optimizing culture method to establish spheroids and organoids of solid tumors including of CRC for multiple purposes including drug screening and establishing personalized medicine. These structures have been proven to be versatile and robust models to study CRC progression and deciphering its heterogeneity. This review will describe on advances in 3D culture technology and the application as well as the challenges of CRC-derived spheroids and organoids as a mode to screen for anticancer drugs.
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Affiliation(s)
| | - Elyn Amiela Salleh
- Human Genome Centre, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Malaysia
| | - Marahaini Musa
- Human Genome Centre, School of Medical Sciences, Universiti Sains Malaysia, Kubang Kerian 16150, Malaysia
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18
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Picchio V, Gaetani R, Chimenti I. Recent Advances in 3D Cultures. Int J Mol Sci 2024; 25:4189. [PMID: 38673773 PMCID: PMC11049866 DOI: 10.3390/ijms25084189] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 03/29/2024] [Indexed: 04/28/2024] Open
Abstract
Methods and protocols for creating complex 3D cell culture systems have been rapidly advancing in the past decade from the perspective of biomaterials [...].
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Affiliation(s)
- Vittorio Picchio
- Department of Angio Cardio Neurology, IRCCS Neuromed, 86077 Pozzilli, Italy;
| | - Roberto Gaetani
- Department of Molecular Medicine, Sapienza University, 00161 Roma, Italy;
| | - Isotta Chimenti
- Department of Medical Surgical Sciences and Biotechnologies, Sapienza University, Corso della Repubblica 79, 04100 Latina, Italy
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19
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Ruchika, Bhardwaj N, Yadav SK, Saneja A. Recent advances in 3D bioprinting for cancer research: From precision models to personalized therapies. Drug Discov Today 2024; 29:103924. [PMID: 38401878 DOI: 10.1016/j.drudis.2024.103924] [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: 12/20/2023] [Revised: 02/13/2024] [Accepted: 02/19/2024] [Indexed: 02/26/2024]
Abstract
Cancer remains one of the most devastating diseases, necessitating innovative and precise therapeutic solutions. The emergence of 3D bioprinting has revolutionized the platform of cancer therapy by offering bespoke solutions for drug screening, tumor modeling, and personalized medicine. The utilization of 3D bioprinting enables the fabrication of complex tumor models that closely mimic the in vivo microenvironment, facilitating more accurate drug testing and personalized treatment strategies. Moreover, 3D bioprinting also provides a platform for the development of implantable scaffolds as a therapeutic solution to cancer. In this review, we highlight the application of 3D bioprinting for cancer therapy along with current advancements in cancer 3D model development with recent case studies.
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Affiliation(s)
- Ruchika
- CSIR-Institute of Himalayan Bioresource Technology, Palampur 176061, Himachal Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Neha Bhardwaj
- CSIR-Institute of Himalayan Bioresource Technology, Palampur 176061, Himachal Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Sudesh Kumar Yadav
- CSIR-Institute of Himalayan Bioresource Technology, Palampur 176061, Himachal Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India
| | - Ankit Saneja
- CSIR-Institute of Himalayan Bioresource Technology, Palampur 176061, Himachal Pradesh, India; Academy of Scientific and Innovative Research (AcSIR), Ghaziabad 201002, India.
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20
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Ma Y, Deng B, He R, Huang P. Advancements of 3D bioprinting in regenerative medicine: Exploring cell sources for organ fabrication. Heliyon 2024; 10:e24593. [PMID: 38318070 PMCID: PMC10838744 DOI: 10.1016/j.heliyon.2024.e24593] [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: 10/09/2023] [Revised: 01/02/2024] [Accepted: 01/10/2024] [Indexed: 02/07/2024] Open
Abstract
3D bioprinting has unlocked new possibilities for generating complex and functional tissues and organs. However, one of the greatest challenges lies in selecting the appropriate seed cells for constructing fully functional 3D artificial organs. Currently, there are no cell sources available that can fulfill all requirements of 3D bioprinting technologies, and each cell source possesses unique characteristics suitable for specific applications. In this review, we explore the impact of different 3D bioprinting technologies and bioink materials on seed cells, providing a comprehensive overview of the current landscape of cell sources that have been used or hold potential in 3D bioprinting. We also summarized key points to guide the selection of seed cells for 3D bioprinting. Moreover, we offer insights into the prospects of seed cell sources in 3D bioprinted organs, highlighting their potential to revolutionize the fields of tissue engineering and regenerative medicine.
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Affiliation(s)
| | | | - Runbang He
- State Key Laboratory of Advanced Medical Materials and Devices, Engineering Research Center of Pulmonary and Critical Care Medicine Technology and Device (Ministry of Education), Institute of Biomedical Engineering, Tianjin Institutes of Health Science, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300192, China
| | - Pengyu Huang
- State Key Laboratory of Advanced Medical Materials and Devices, Engineering Research Center of Pulmonary and Critical Care Medicine Technology and Device (Ministry of Education), Institute of Biomedical Engineering, Tianjin Institutes of Health Science, Chinese Academy of Medical Science & Peking Union Medical College, Tianjin, 300192, China
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21
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Bonatti AF, Vozzi G, De Maria C. Enhancing quality control in bioprinting through machine learning. Biofabrication 2024; 16:022001. [PMID: 38262061 DOI: 10.1088/1758-5090/ad2189] [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: 11/10/2023] [Accepted: 01/23/2024] [Indexed: 01/25/2024]
Abstract
Bioprinting technologies have been extensively studied in literature to fabricate three-dimensional constructs for tissue engineering applications. However, very few examples are currently available on clinical trials using bioprinted products, due to a combination of technological challenges (i.e. difficulties in replicating the native tissue complexity, long printing times, limited choice of printable biomaterials) and regulatory barriers (i.e. no clear indication on the product classification in the current regulatory framework). In particular, quality control (QC) solutions are needed at different stages of the bioprinting workflow (including pre-process optimization, in-process monitoring, and post-process assessment) to guarantee a repeatable product which is functional and safe for the patient. In this context, machine learning (ML) algorithms can be envisioned as a promising solution for the automatization of the quality assessment, reducing the inter-batch variability and thus potentially accelerating the product clinical translation and commercialization. In this review, we comprehensively analyse the main solutions that are being developed in the bioprinting literature on QC enabled by ML, evaluating different models from a technical perspective, including the amount and type of data used, the algorithms, and performance measures. Finally, we give a perspective view on current challenges and future research directions on using these technologies to enhance the quality assessment in bioprinting.
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Affiliation(s)
- Amedeo Franco Bonatti
- Department of Information Engineering and Research Center 'E. Piaggio', University of Pisa, Pisa, Italy
| | - Giovanni Vozzi
- Department of Information Engineering and Research Center 'E. Piaggio', University of Pisa, Pisa, Italy
| | - Carmelo De Maria
- Department of Information Engineering and Research Center 'E. Piaggio', University of Pisa, Pisa, Italy
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22
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Fernandes S, Cassani M, Cavalieri F, Forte G, Caruso F. Emerging Strategies for Immunotherapy of Solid Tumors Using Lipid-Based Nanoparticles. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2024; 11:e2305769. [PMID: 38054651 PMCID: PMC10885677 DOI: 10.1002/advs.202305769] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/16/2023] [Revised: 11/09/2023] [Indexed: 12/07/2023]
Abstract
The application of lipid-based nanoparticles for COVID-19 vaccines and transthyretin-mediated amyloidosis treatment have highlighted their potential for translation to cancer therapy. However, their use in delivering drugs to solid tumors is limited by ineffective targeting, heterogeneous organ distribution, systemic inflammatory responses, and insufficient drug accumulation at the tumor. Instead, the use of lipid-based nanoparticles to remotely activate immune system responses is an emerging effective strategy. Despite this approach showing potential for treating hematological cancers, its application to treat solid tumors is hampered by the selection of eligible targets, tumor heterogeneity, and ineffective penetration of activated T cells within the tumor. Notwithstanding, the use of lipid-based nanoparticles for immunotherapy is projected to revolutionize cancer therapy, with the ultimate goal of rendering cancer a chronic disease. However, the translational success is likely to depend on the use of predictive tumor models in preclinical studies, simulating the complexity of the tumor microenvironment (e.g., the fibrotic extracellular matrix that impairs therapeutic outcomes) and stimulating tumor progression. This review compiles recent advances in the field of antitumor lipid-based nanoparticles and highlights emerging therapeutic approaches (e.g., mechanotherapy) to modulate tumor stiffness and improve T cell infiltration, and the use of organoids to better guide therapeutic outcomes.
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Affiliation(s)
- Soraia Fernandes
- Center for Translational Medicine (CTM)International Clinical Research Centre (ICRC)St. Anne HospitalBrno656 91Czech Republic
- Department of Chemical EngineeringThe University of MelbourneParkvilleVictoria3010Australia
| | - Marco Cassani
- Center for Translational Medicine (CTM)International Clinical Research Centre (ICRC)St. Anne HospitalBrno656 91Czech Republic
- Department of Chemical EngineeringThe University of MelbourneParkvilleVictoria3010Australia
| | - Francesca Cavalieri
- School of ScienceRMIT UniversityMelbourneVictoria3000Australia
- Dipartimento di Scienze e Tecnologie ChimicheUniversita di Roma “Tor Vergata”Via della Ricerca Scientifica 1Rome00133Italy
| | - Giancarlo Forte
- Center for Translational Medicine (CTM)International Clinical Research Centre (ICRC)St. Anne HospitalBrno656 91Czech Republic
- School of Cardiovascular and Metabolic Medicine & SciencesKing's College LondonLondonSE5 9NUUK
| | - Frank Caruso
- Department of Chemical EngineeringThe University of MelbourneParkvilleVictoria3010Australia
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23
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Waseem M, Wang BD. Organoids: An Emerging Precision Medicine Model for Prostate Cancer Research. Int J Mol Sci 2024; 25:1093. [PMID: 38256166 PMCID: PMC10816550 DOI: 10.3390/ijms25021093] [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: 12/08/2023] [Revised: 01/12/2024] [Accepted: 01/15/2024] [Indexed: 01/24/2024] Open
Abstract
Prostate cancer (PCa) has been known as the most prevalent cancer disease and the second leading cause of cancer mortality in men almost all over the globe. There is an urgent need for establishment of PCa models that can recapitulate the progress of genomic landscapes and molecular alterations during development and progression of this disease. Notably, several organoid models have been developed for assessing the complex interaction between PCa and its surrounding microenvironment. In recent years, PCa organoids have been emerged as powerful in vitro 3D model systems that recapitulate the molecular features (such as genomic/epigenomic changes and tumor microenvironment) of PCa metastatic tumors. In addition, application of organoid technology in mechanistic studies (i.e., for understanding cellular/subcellular and molecular alterations) and translational medicine has been recognized as a promising approach for facilitating the development of potential biomarkers and novel therapeutic strategies. In this review, we summarize the application of PCa organoids in the high-throughput screening and establishment of relevant xenografts for developing novel therapeutics for metastatic, castration resistant, and neuroendocrine PCa. These organoid-based studies are expected to expand our knowledge from basic research to clinical applications for PCa diseases. Furthermore, we also highlight the optimization of PCa cultures and establishment of promising 3D organoid models for in vitro and in vivo investigations, ultimately facilitating mechanistic studies and development of novel clinical diagnosis/prognosis and therapies for PCa.
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Affiliation(s)
- Mohammad Waseem
- Department of Pharmaceutical Sciences, School of Pharmacy and Health Professions, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA;
| | - Bi-Dar Wang
- Department of Pharmaceutical Sciences, School of Pharmacy and Health Professions, University of Maryland Eastern Shore, Princess Anne, MD 21853, USA;
- Hormone Related Cancers Program, University of Maryland Greenebaum Comprehensive Cancer Center, Baltimore, MD 21201, USA
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24
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Joo H, Min S, Cho SW. Advanced lung organoids for respiratory system and pulmonary disease modeling. J Tissue Eng 2024; 15:20417314241232502. [PMID: 38406820 PMCID: PMC10894554 DOI: 10.1177/20417314241232502] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/08/2023] [Accepted: 01/30/2024] [Indexed: 02/27/2024] Open
Abstract
Amidst the recent coronavirus disease 2019 (COVID-19) pandemic, respiratory system research has made remarkable progress, particularly focusing on infectious diseases. Lung organoid, a miniaturized structure recapitulating lung tissue, has gained global attention because of its advantages over other conventional models such as two-dimensional (2D) cell models and animal models. Nevertheless, lung organoids still face limitations concerning heterogeneity, complexity, and maturity compared to the native lung tissue. To address these limitations, researchers have employed co-culture methods with various cell types including endothelial cells, mesenchymal cells, and immune cells, and incorporated bioengineering platforms such as air-liquid interfaces, microfluidic chips, and functional hydrogels. These advancements have facilitated applications of lung organoids to studies of pulmonary diseases, providing insights into disease mechanisms and potential treatments. This review introduces recent progress in the production methods of lung organoids, strategies for improving maturity, functionality, and complexity of organoids, and their application in disease modeling, including respiratory infection and pulmonary fibrosis.
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Affiliation(s)
- Hyebin Joo
- Department of Biotechnology, Yonsei University, Seoul, Republic of Korea
| | - Sungjin Min
- Department of Biotechnology, Yonsei University, Seoul, Republic of Korea
| | - Seung-Woo Cho
- Department of Biotechnology, Yonsei University, Seoul, Republic of Korea
- Center for Nanomedicine, Institute for Basic Science (IBS), Seoul, Republic of Korea
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25
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Weng G, Tao J, Liu Y, Qiu J, Su D, Wang R, Luo W, Zhang T. Organoid: Bridging the gap between basic research and clinical practice. Cancer Lett 2023; 572:216353. [PMID: 37599000 DOI: 10.1016/j.canlet.2023.216353] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/23/2023] [Revised: 08/11/2023] [Accepted: 08/17/2023] [Indexed: 08/22/2023]
Abstract
Nowadays, the diagnosis and treatment system of malignant tumors has increasingly tended to be more precise and personalized while the existing tumor models are still unable to fully meet the needs of clinical practice. Notably, the emerging organoid platform has been proven to have huge potential in the field of basic-translational medicine, which is expected to promote a paradigm shift in personalized medicine. Here, given the unique advantages of organoid platform, we mainly explore the prominent role of organoid models in basic research and clinical practice from perspectives of tumor biology, tumorigenic microbes-host interaction, clinical decision-making, and regenerative strategy. In addition, we also put forward some practical suggestions on how to construct a new generation of organoid platform, which is destined to vigorously promote the reform of basic-translational medicine.
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Affiliation(s)
- Guihu Weng
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Jinxin Tao
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Yueze Liu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Jiangdong Qiu
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Dan Su
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Ruobing Wang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Wenhao Luo
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China
| | - Taiping Zhang
- Department of General Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, No.1 Shuaifuyuan, Wangfujing Street, Beijing, 100730, China.
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Kayser C, Brauer A, Susanne S, Wandmacher AM. The challenge of making the right choice: patient avatars in the era of cancer immunotherapies. Front Immunol 2023; 14:1237565. [PMID: 37638045 PMCID: PMC10449253 DOI: 10.3389/fimmu.2023.1237565] [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: 06/09/2023] [Accepted: 07/24/2023] [Indexed: 08/29/2023] Open
Abstract
Immunotherapies are a key therapeutic strategy to fight cancer. Diverse approaches are used to activate tumor-directed immunity and to overcome tumor immune escape. The dynamic interplay between tumor cells and their tumor(immune)microenvironment (T(I)ME) poses a major challenge to create appropriate model systems. However, those model systems are needed to gain novel insights into tumor (immune) biology and a prerequisite to accurately develop and test immunotherapeutic approaches which can be successfully translated into clinical application. Several model systems have been established and advanced into so-called patient avatars to mimic the patient´s tumor biology. All models have their advantages but also disadvantages underscoring the necessity to pay attention in defining the rationale and requirements for which the patient avatar will be used. Here, we briefly outline the current state of tumor model systems used for tumor (immune)biological analysis as well as evaluation of immunotherapeutic agents. Finally, we provide a recommendation for further development to make patient avatars a complementary tool for testing and predicting immunotherapeutic strategies for personalization of tumor therapies.
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Affiliation(s)
- Charlotte Kayser
- Group of Inflammatory Carcinogenesis, Institute for Experimental Cancer Research, University Hospital Schleswig-Holstein (UKSH), Kiel University, Kiel, Germany
| | - Annika Brauer
- Group of Inflammatory Carcinogenesis, Institute for Experimental Cancer Research, University Hospital Schleswig-Holstein (UKSH), Kiel University, Kiel, Germany
| | - Sebens Susanne
- Group of Inflammatory Carcinogenesis, Institute for Experimental Cancer Research, University Hospital Schleswig-Holstein (UKSH), Kiel University, Kiel, Germany
| | - Anna Maxi Wandmacher
- Group of Inflammatory Carcinogenesis, Institute for Experimental Cancer Research, University Hospital Schleswig-Holstein (UKSH), Kiel University, Kiel, Germany
- Department of Internal Medicine II, University Hospital Center Schleswig-Holstein, Kiel, Germany
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