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Yoon H, Kang JH, Cho SW, Park CG, Kim DW, Park TE. Brain-Decellularized ECM-Based 3D Myeloid Sarcoma Platform: Mimicking Adaptive Phenotypic Alterations in the Brain. Adv Healthc Mater 2024; 13:e2304371. [PMID: 38320209 DOI: 10.1002/adhm.202304371] [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: 12/09/2023] [Revised: 01/31/2024] [Indexed: 02/08/2024]
Abstract
Leukemia circulates in the bloodstream and induces various symptoms and complications. Occasionally, these cells accumulate in non-marrow tissues, forming a tumor-like myeloid sarcoma (MS). When the blast-stage leukemia cells invade the brain parenchyma, intracranial MS occurs, leading to a challenging prognosis owing to the limited penetration of cytostatic drugs into the brain and the development of drug resistance. The scarcity of tissue samples from MS makes understanding the phenotypic changes occurring in leukemia cells within the brain environment challenging, thereby hindering development of effective treatment strategies for intracranial MS. This study presents a novel 3D in vitro model mimicking intracranial MS, employing a hydrogel scaffold derived from the brain-decellularized extracellular matrix in which suspended leukemia cells are embedded, simulating the formation of tumor masses in the brain parenchyma. This model reveals marked phenotypic changes in leukemia cells, including altered survival, proliferation, differentiation, and cell cycle regulation. Notably, proportion of dormant leukemia stem cells increases and expression of multidrug resistance genes is upregulated, leading to imatinib resistance, mirroring the pathological features of in vivo MS tissue. Furthermore, suppression of ferroptosis is identified as an important characteristic of intracranial MS, providing valuable insights for the development of targeted therapeutic strategies.
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Affiliation(s)
- Heejeong Yoon
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Joo H Kang
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Seung Woo Cho
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
| | - Chun Gwon Park
- Department of Biomedical Engineering, SKKU Institute for Convergence, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea
- Department of Intelligent Precision Healthcare Convergence, SKKU Institute for Convergence, Sungkyunkwan University (SKKU), Suwon, 16419, Republic of Korea
| | - Dong-Wook Kim
- Department of Hematology, Hematology Center, Uijeongbu Eulji Medical Center, Eulji University, Uijeongbu, 11750, Republic of Korea
- Leukemia Omics Research Institute, Eulji University, Uijeongbu, 11750, Republic of Korea
| | - Tae-Eun Park
- Department of Biomedical Engineering, College of Information and Biotechnology, Ulsan National Institute of Science and Technology (UNIST), Ulsan, 44919, Republic of Korea
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Alhattab DM, Isaioglou I, Alshehri S, Khan ZN, Susapto HH, Li Y, Marghani Y, Alghuneim AA, Díaz-Rúa R, Abdelrahman S, Al-Bihani S, Ahmed F, Felimban RI, Alkhatabi H, Alserihi R, Abedalthagafi M, AlFadel A, Awidi A, Chaudhary AG, Merzaban J, Hauser CAE. Fabrication of a three-dimensional bone marrow niche-like acute myeloid Leukemia disease model by an automated and controlled process using a robotic multicellular bioprinting system. Biomater Res 2023; 27:111. [PMID: 37932837 PMCID: PMC10626721 DOI: 10.1186/s40824-023-00457-9] [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: 08/28/2023] [Accepted: 10/29/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Acute myeloid leukemia (AML) is a hematological malignancy that remains a therapeutic challenge due to the high incidence of disease relapse. To better understand resistance mechanisms and identify novel therapies, robust preclinical models mimicking the bone marrow (BM) microenvironment are needed. This study aimed to achieve an automated fabrication process of a three-dimensional (3D) AML disease model that recapitulates the 3D spatial structure of the BM microenvironment and applies to drug screening and investigational studies. METHODS To build this model, we investigated a unique class of tetramer peptides with an innate ability to self-assemble into stable hydrogel. An automated robotic bioprinting process was established to fabricate a 3D BM (niche-like) multicellular AML disease model comprised of leukemia cells and the BM's stromal and endothelial cellular fractions. In addition, monoculture and dual-culture models were also fabricated. Leukemia cell compatibility, functionalities (in vitro and in vivo), and drug assessment studies using our model were performed. In addition, RNAseq and gene expression analysis using TaqMan arrays were also performed on 3D cultured stromal cells and primary leukemia cells. RESULTS The selected peptide hydrogel formed a highly porous network of nanofibers with mechanical properties similar to the BM extracellular matrix. The robotic bioprinter and the novel quadruple coaxial nozzle enabled the automated fabrication of a 3D BM niche-like AML disease model with controlled deposition of multiple cell types into the model. This model supported the viability and growth of primary leukemic, endothelial, and stromal cells and recapitulated cell-cell and cell-ECM interactions. In addition, AML cells in our model possessed quiescent characteristics with improved chemoresistance attributes, resembling more the native conditions as indicated by our in vivo results. Moreover, the whole transcriptome data demonstrated the effect of 3D culture on enhancing BM niche cell characteristics. We identified molecular pathways upregulated in AML cells in our 3D model that might contribute to AML drug resistance and disease relapse. CONCLUSIONS Our results demonstrate the importance of developing 3D biomimicry models that closely recapitulate the in vivo conditions to gain deeper insights into drug resistance mechanisms and novel therapy development. These models can also improve personalized medicine by testing patient-specific treatments.
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Affiliation(s)
- Dana M Alhattab
- Laboratory for Nanomedicine, Bioengineering Program, Division of Biological & Environmental Science & Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
- KAUST Smart Health Initiative (KSHI), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Ioannis Isaioglou
- Cell Migration and Signaling Laboratory, Bioscience Program, Division of Biological & Environmental Science & Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Salwa Alshehri
- Laboratory for Nanomedicine, Bioengineering Program, Division of Biological & Environmental Science & Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
- Department of Biochemistry, Faculty of Science, University of Jeddah, Jeddah, Saudi Arabia
| | - Zainab N Khan
- Laboratory for Nanomedicine, Bioengineering Program, Division of Biological & Environmental Science & Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
- Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Hepi H Susapto
- Laboratory for Nanomedicine, Bioengineering Program, Division of Biological & Environmental Science & Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Yanyan Li
- Cell Migration and Signaling Laboratory, Bioscience Program, Division of Biological & Environmental Science & Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Yara Marghani
- Laboratory for Nanomedicine, Bioengineering Program, Division of Biological & Environmental Science & Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Arwa A Alghuneim
- Cell Migration and Signaling Laboratory, Bioscience Program, Division of Biological & Environmental Science & Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Rubén Díaz-Rúa
- Core Laboratories, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Sherin Abdelrahman
- Laboratory for Nanomedicine, Bioengineering Program, Division of Biological & Environmental Science & Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia
| | - Shuroug Al-Bihani
- Core Laboratories, King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Farid Ahmed
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
- Center of Innovation in Personalized Medicine (CIPM), King Abdulaziz University, Jeddah, 21589, Saudi Arabia
| | - Raed I Felimban
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
- Center of Innovation in Personalized Medicine (CIPM), King Abdulaziz University, Jeddah, 21589, Saudi Arabia
| | - Heba Alkhatabi
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
- Center of Innovation in Personalized Medicine (CIPM), King Abdulaziz University, Jeddah, 21589, Saudi Arabia
- Hematology Research Unit, King Fahd Medical Research Centre, King Abdulaziz University, Jeddah, 21589, Saudi Arabia
| | - Raed Alserihi
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
- Center of Innovation in Personalized Medicine (CIPM), King Abdulaziz University, Jeddah, 21589, Saudi Arabia
| | - Malak Abedalthagafi
- Department of Pathology and Laboratory Medicine, Emory School of Medicine, Atlanta, USA
| | - AlShaibani AlFadel
- Division of Hematology, Stem Cell Transplantation & Cellular Therapy, Oncology Center, King Faisal Specialist Hospital & Research Center, Riyadh, Saudi Arabia
| | - Abdalla Awidi
- Cell Therapy Center, The University of Jordan, Amman, Jordan
- Medical School, The University of Jordan, Amman, Jordan
- Jordan University Hospital, Amman, Jordan
| | - Adeel Gulzar Chaudhary
- Department of Medical Laboratory Technology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia
- Center of Innovation in Personalized Medicine (CIPM), King Abdulaziz University, Jeddah, 21589, Saudi Arabia
| | - Jasmeen Merzaban
- Cell Migration and Signaling Laboratory, Bioscience Program, Division of Biological & Environmental Science & Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
| | - Charlotte A E Hauser
- Laboratory for Nanomedicine, Bioengineering Program, Division of Biological & Environmental Science & Engineering (BESE), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
- Computational Bioscience Research Center (CBRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
- KAUST Smart Health Initiative (KSHI), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
- Red Sea Research Center (RSRC), King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.
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Bober Z, Aebisher D, Olek M, Kawczyk-Krupka A, Bartusik-Aebisher D. Multiple Cell Cultures for MRI Analysis. Int J Mol Sci 2022; 23:10109. [PMID: 36077507 PMCID: PMC9456466 DOI: 10.3390/ijms231710109] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2022] [Revised: 08/27/2022] [Accepted: 08/29/2022] [Indexed: 11/25/2022] Open
Abstract
Magnetic resonance imaging (MRI) is an imaging method that enables diagnostics. In recent years, this technique has been widely used for research using cell cultures used in pharmaceutical science to understand the distribution of various drugs in a variety of biological samples, from cellular models to tissues. MRI's dynamic development in recent years, in addition to diagnostics, has allowed the method to be implemented to assess response to applied therapies. Conventional MRI imaging provides anatomical and pathological information. Due to advanced technology, MRI provides physiological information. The use of cell cultures is very important in the process of testing new synthesized drugs, cancer research, and stem cell research, among others. Two-dimensional (2D) cell cultures conducted under laboratory conditions, although they provide a lot of information, do not reflect the basic characteristics of the tumor. To replicate the tumor microenvironment in science, a three-dimensional (3D) culture of tumor cells was developed. This makes it possible to reproduce in vivo conditions where, in addition, there is a complex and dynamic process of cell-to-cell communication and cell-matrix interaction. In this work, we reviewed current research in 2D and 3D cultures and their use in MRI studies. Articles for each section were collected from PubMed, ScienceDirect, Web of Science, and Google Scholar.
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Affiliation(s)
- Zuzanna Bober
- Department of Photomedicine and Physical Chemistry, Medical College of Rzeszów University, University of Rzeszów, 35-310 Rzeszów, Poland
| | - David Aebisher
- Department of Photomedicine and Physical Chemistry, Medical College of Rzeszów University, University of Rzeszów, 35-310 Rzeszów, Poland
| | - Marcin Olek
- Department of Orthodontics, Faculty of Medical Sciences in Zabrze, Medical University of Silesia, 40-055 Katowice, Poland
| | - Aleksandra Kawczyk-Krupka
- Center for Laser Diagnostics and Therapy, Department of Internal Medicine, Angiology and Physical Medicine, Medical University of Silesia in Katowice, 41-902 Bytom, Poland
| | - Dorota Bartusik-Aebisher
- Department of Biochemistry and General Chemistry, Medical College of Rzeszów University, University of Rzeszów, 35-310 Rzeszów, Poland
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Dozzo A, Galvin A, Shin JW, Scalia S, O'Driscoll CM, Ryan KB. Modelling acute myeloid leukemia (AML): What's new? A transition from the classical to the modern. Drug Deliv Transl Res 2022:10.1007/s13346-022-01189-4. [PMID: 35930221 DOI: 10.1007/s13346-022-01189-4] [Citation(s) in RCA: 12] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 05/24/2022] [Indexed: 11/24/2022]
Abstract
Acute myeloid leukemia (AML) is a heterogeneous malignancy affecting myeloid cells in the bone marrow (BM) but can spread giving rise to impaired hematopoiesis. AML incidence increases with age and is associated with poor prognostic outcomes. There has been a disconnect between the success of novel drug compounds observed in preclinical studies of hematological malignancy and less than exceptional therapeutic responses in clinical trials. This review aims to provide a state-of-the-art overview on the different preclinical models of AML available to expand insights into disease pathology and as preclinical screening tools. Deciphering the complex physiological and pathological processes and developing predictive preclinical models are key to understanding disease progression and fundamental in the development and testing of new effective drug treatments. Standard scaffold-free suspension models fail to recapitulate the complex environment where AML occurs. To this end, we review advances in scaffold/matrix-based 3D models and outline the most recent advances in on-chip technology. We also provide an overview of clinically relevant animal models and review the expanding use of patient-derived samples, which offer the prospect to create more "patient specific" screening tools either in the guise of 3D matrix models, microphysiological "organ-on-chip" tools or xenograft models and discuss representative examples.
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Affiliation(s)
| | - Aoife Galvin
- School of Pharmacy, University College Cork, Cork, Ireland
| | - Jae-Won Shin
- Department of Pharmacology and Regenerative Medicine, University of Illinois at Chicago College of Medicine, 909 S. Wolcott Ave, Chicago, IL, 5091 COMRB, USA
| | - Santo Scalia
- Università degli Studi di Ferrara, Via Luigi Borsari 46, 44121, Ferrara, Italy
| | - Caitriona M O'Driscoll
- School of Pharmacy, University College Cork, Cork, Ireland.,SSPC Centre for Pharmaceutical Research, School of Pharmacy, University College Cork, Cork, Ireland
| | - Katie B Ryan
- School of Pharmacy, University College Cork, Cork, Ireland. .,SSPC Centre for Pharmaceutical Research, School of Pharmacy, University College Cork, Cork, Ireland.
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Khalil AS, Jaenisch R, Mooney DJ. Engineered tissues and strategies to overcome challenges in drug development. Adv Drug Deliv Rev 2020; 158:116-139. [PMID: 32987094 PMCID: PMC7518978 DOI: 10.1016/j.addr.2020.09.012] [Citation(s) in RCA: 23] [Impact Index Per Article: 5.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2020] [Revised: 08/29/2020] [Accepted: 09/23/2020] [Indexed: 12/16/2022]
Abstract
Current preclinical studies in drug development utilize high-throughput in vitro screens to identify drug leads, followed by both in vitro and in vivo models to predict lead candidates' pharmacokinetic and pharmacodynamic properties. The goal of these studies is to reduce the number of lead drug candidates down to the most likely to succeed in later human clinical trials. However, only 1 in 10 drug candidates that emerge from preclinical studies will succeed and become an approved therapeutic. Lack of efficacy or undetected toxicity represents roughly 75% of the causes for these failures, despite these parameters being the primary exclusion criteria in preclinical studies. Recently, advances in both biology and engineering have created new tools for constructing new preclinical models. These models can complement those used in current preclinical studies by helping to create more realistic representations of human tissues in vitro and in vivo. In this review, we describe current preclinical models to identify their value and limitations and then discuss select areas of research where improvements in preclinical models are particularly needed to advance drug development. Following this, we discuss design considerations for constructing preclinical models and then highlight recent advances in these efforts. Taken together, we aim to review the advances as of 2020 surrounding the prospect of biological and engineering tools for adding enhanced biological relevance to preclinical studies to aid in the challenges of failed drug candidates and the burden this poses on the drug development enterprise and thus healthcare.
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Affiliation(s)
- Andrew S Khalil
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02115, USA; Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA
| | - Rudolf Jaenisch
- Whitehead Institute for Biomedical Research, Cambridge, MA 02142, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA 02142, USA.
| | - David J Mooney
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138, USA; Wyss Institute for Biologically Inspired Engineering, Harvard University, Cambridge, MA 02115, USA.
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Badekila AK, Kini S, Jaiswal AK. Fabrication techniques of biomimetic scaffolds in three-dimensional cell culture: A review. J Cell Physiol 2020; 236:741-762. [PMID: 32657458 DOI: 10.1002/jcp.29935] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2020] [Accepted: 07/03/2020] [Indexed: 12/20/2022]
Abstract
In the last four decades, several researchers worldwide have routinely and meticulously exercised cell culture experiments in two-dimensional (2D) platforms. Using traditionally existing 2D models, the therapeutic efficacy of drugs has been inappropriately validated due to the failure in generating the precise therapeutic response. Fortunately, a 3D model addresses the foregoing limitations by recapitulating the in vivo environment. In this context, one has to contemplate the design of an appropriate scaffold for favoring the organization of cell microenvironment. Instituting pertinent model on the platter will pave way for a precise mimicking of in vivo conditions. It is because animal cells in scaffolds oblige spontaneous formation of 3D colonies that molecularly, phenotypically, and histologically resemble the native environment. The 3D culture provides insight into the biochemical aspects of cell-cell communication, plasticity, cell division, cytoskeletal reorganization, signaling mechanisms, differentiation, and cell death. Focusing on these criteria, this paper discusses in detail, the diversification of polymeric scaffolds based on their available resources. The paper also reviews the well-founded and latest techniques of scaffold fabrication, and their applications pertaining to tissue engineering, drug screening, and tumor model development.
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Affiliation(s)
- Anjana K Badekila
- Nitte University Centre for Science Education and Research, Nitte (Deemed to be University), Mangalore, Karnataka, India
| | - Sudarshan Kini
- Nitte University Centre for Science Education and Research, Nitte (Deemed to be University), Mangalore, Karnataka, India
| | - Amit K Jaiswal
- Centre for Biomaterials, Cellular, and Molecular Theranostics, Vellore Institute of Technology, Vellore, Tamil Nadu, India
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