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Adhikari G, Sarojasamhita VP, Richardson-Powell V, Farooqui A, Budzinski M, Garvey DT, Yang J, Katz D, Crouch B, Ramanujam N, Mueller JL. Impact of Injection-Based Delivery Parameters on Local Distribution Volume of Ethyl-Cellulose Ethanol Gel in Tissue and Tissue Mimicking Phantoms. IEEE Trans Biomed Eng 2024; 71:1488-1498. [PMID: 38060363 PMCID: PMC11086015 DOI: 10.1109/tbme.2023.3340613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/05/2024]
Abstract
OBJECTIVE Local drug delivery aims to minimize systemic toxicity by preventing off-target effects; however, injection parameters influencing depot formation of injectable gels have yet to be thoroughly studied. We explored the effects of needle characteristics, injection depth, rate, volume, and polymer concentration on gel ethanol distribution in both tissue and phantoms. METHODS The polymer ethyl cellulose (EC) was added to ethanol to form an injectable gel to ablate cervical precancer and cancer. Tissue mimicking phantoms composed of 1% agarose dissolved in deionized water were used to establish overall trends between various injection parameters and the resulting gel distribution. Additional experiments were performed in excised swine cervices with a CT-imageable injectate formulation, which enabled visualization of the distribution without tissue sectioning. RESULTS Needle type and injection rate had minimal impact on gel distribution, while needle depths ≥13 mm yielded significantly larger distributions. Needle gauge and EC concentration impacted injection pressure with maximum gel distribution achieved when the pressure was 70-250 kPa. Injection volumes ≤3 mL of 6% EC-ethanol minimized fluid leakage away from the injection site. Results guided the development of a speculum-compatible hand-held injector to deliver gel ethanol into the cervix. CONCLUSION Needle depth, gauge, and polymer concentration are critical to consider when delivering injectable gels. SIGNIFICANCE This study addressed key questions related to the impact of injection-based parameters on gel distribution at a scale relevant to human applications including: 1) how best to deliver EC-ethanol into the cervix and 2) general insights about injection protocols relevant to the delivery of injectable gels in tissue.
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Affiliation(s)
- Gatha Adhikari
- Department of Bioengineering, University of Maryland, College Park, MD, USA
| | | | | | - Asma Farooqui
- Department of Bioengineering, Rice University, Houston, TX, USA
| | - Maya Budzinski
- Department of Bioengineering, University of Maryland, College Park, MD, USA
| | - David T. Garvey
- Department of Bioengineering, University of Maryland, College Park, MD, USA
| | - Jeffrey Yang
- Department of Bioengineering, University of Maryland, College Park, MD, USA
| | - David Katz
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
- Department of Obstetrics and Gynecology, Division of Gynecologic Oncology, Duke University Medical Center, Durham, North Carolina, USA
| | - Brian Crouch
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
| | - Nimmi Ramanujam
- Department of Biomedical Engineering, Duke University, Durham, North Carolina, USA
- Duke Global Health Institute, Duke University, Durham, North Carolina, USA
- Department of Pharmacology and Cancer Biology, Duke University, Durham, North Carolina, USA
| | - Jenna L. Mueller
- Department of Bioengineering, University of Maryland, College Park, MD, USA
- Department of OB-GYN & Reproductive Science, University of Maryland School of Medicine, Baltimore, MD, USA
- Marlene and Stewart Greenebaum Cancer Center, University of Maryland School of Medicine, Baltimore, MD, USA
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Liu X, Wang X, Luo Y, Wang M, Chen Z, Han X, Zhou S, Wang J, Kong J, Yu H, Wang X, Tang X, Guo Q. A 3D Tumor-Mimicking In Vitro Drug Release Model of Locoregional Chemoembolization Using Deep Learning-Based Quantitative Analyses. ADVANCED SCIENCE (WEINHEIM, BADEN-WURTTEMBERG, GERMANY) 2023; 10:e2206195. [PMID: 36793129 PMCID: PMC10104640 DOI: 10.1002/advs.202206195] [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: 10/24/2022] [Revised: 12/23/2022] [Indexed: 06/18/2023]
Abstract
Primary liver cancer, with the predominant form as hepatocellular carcinoma (HCC), remains a worldwide health problem due to its aggressive and lethal nature. Transarterial chemoembolization, the first-line treatment option of unresectable HCC that employs drug-loaded embolic agents to occlude tumor-feeding arteries and concomitantly delivers chemotherapeutic drugs into the tumor, is still under fierce debate in terms of the treatment parameters. The models that can produce in-depth knowledge of the overall intratumoral drug release behavior are lacking. This study engineers a 3D tumor-mimicking drug release model, which successfully overcomes the substantial limitations of conventional in vitro models through utilizing decellularized liver organ as a drug-testing platform that uniquely incorporates three key features, i.e., complex vasculature systems, drug-diffusible electronegative extracellular matrix, and controlled drug depletion. This drug release model combining with deep learning-based computational analyses for the first time permits quantitative evaluation of all important parameters associated with locoregional drug release, including endovascular embolization distribution, intravascular drug retention, and extravascular drug diffusion, and establishes long-term in vitro-in vivo correlations with in-human results up to 80 d. This model offers a versatile platform incorporating both tumor-specific drug diffusion and elimination settings for quantitative evaluation of spatiotemporal drug release kinetics within solid tumors.
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Affiliation(s)
- Xiaoya Liu
- Shenzhen Key Laboratory of Smart Healthcare EngineeringGuangdong Provincial Key Laboratory of Advanced BiomaterialsDepartment of Biomedical EngineeringSouthern University of Science and TechnologyShenzhenGuangdong518055P. R. China
- Department of PharmacyShenzhen Children's HospitalShenzhenGuangdong518026P. R. China
| | - Xueying Wang
- Department of Electronic and Electrical EngineeringSouthern University of Science and TechnologyShenzhenGuangdong518055P. R. China
| | - Yucheng Luo
- Shenzhen Key Laboratory of Smart Healthcare EngineeringGuangdong Provincial Key Laboratory of Advanced BiomaterialsDepartment of Biomedical EngineeringSouthern University of Science and TechnologyShenzhenGuangdong518055P. R. China
| | - Meijuan Wang
- Shenzhen Key Laboratory of Smart Healthcare EngineeringGuangdong Provincial Key Laboratory of Advanced BiomaterialsDepartment of Biomedical EngineeringSouthern University of Science and TechnologyShenzhenGuangdong518055P. R. China
| | - Zijian Chen
- Shenzhen Key Laboratory of Smart Healthcare EngineeringGuangdong Provincial Key Laboratory of Advanced BiomaterialsDepartment of Biomedical EngineeringSouthern University of Science and TechnologyShenzhenGuangdong518055P. R. China
| | - Xiaoyu Han
- Shenzhen Key Laboratory of Smart Healthcare EngineeringGuangdong Provincial Key Laboratory of Advanced BiomaterialsDepartment of Biomedical EngineeringSouthern University of Science and TechnologyShenzhenGuangdong518055P. R. China
| | - Sijia Zhou
- Department of MolecularCellular and Developmental Biology (MCD)Centre de Biologie Integrative (CBI)University of ToulouseCNRSUPSToulouse31062France
| | - Jiahao Wang
- Mechanobiology InstituteNational University of SingaporeSingapore117411Singapore
| | - Jian Kong
- Department of Interventional RadiologyFirst Affiliated Hospital of Southern University of Science and TechnologySecond Clinical Medical College of Jinan UniversityShenzhen People's HospitalShenzhenGuangdong518020P. R. China
| | - Hanry Yu
- Mechanobiology InstituteNational University of SingaporeSingapore117411Singapore
- Department of PhysiologyInstitute of Digital Medicineand Mechanobiology InstituteNational University of SingaporeSingapore117593Singapore
| | - Xiaobo Wang
- Department of MolecularCellular and Developmental Biology (MCD)Centre de Biologie Integrative (CBI)University of ToulouseCNRSUPSToulouse31062France
| | - Xiaoying Tang
- Department of Electronic and Electrical EngineeringSouthern University of Science and TechnologyShenzhenGuangdong518055P. R. China
- Jiaxing Research InstituteSouthern University of Science and TechnologyJiaxingZhejiang314000P. R. China
| | - Qiongyu Guo
- Shenzhen Key Laboratory of Smart Healthcare EngineeringGuangdong Provincial Key Laboratory of Advanced BiomaterialsDepartment of Biomedical EngineeringSouthern University of Science and TechnologyShenzhenGuangdong518055P. R. China
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3
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Gao Y, Xiao J, Chen Z, Ma Y, Liu X, Yang D, Leo HL, Yu H, Kong J, Guo Q. Engineering orthotopic tumor spheroids with organ-specific vasculatures for local chemoembolization evaluation. Biomater Sci 2023; 11:2115-2128. [PMID: 36723179 DOI: 10.1039/d2bm01632j] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
Developing a three-dimensional (3D) in vitro tumor model with vasculature systems suitable for testing endovascular interventional therapies remains a challenge. Here we develop an orthotopic liver tumor spheroid model that captures the organ-level complexity of vasculature systems and the extracellular matrix to evaluate transcatheter arterial chemoembolization (TACE) treatment. The orthotopic tumor spheroids are derived by seeding HepG2 cell colonies with controlled size and location surrounding the portal triads in a decellularized rat liver matrix and are treated by clinically relevant drug-eluting beads embolized in a portal vein vasculature while maintaining dynamic physiological conditions with nutrient and oxygen supplies through the hepatic vein vasculature. The orthotopic tumor model exhibits strong drug retention inside the spheroids and embolization location-dependent cellular apoptosis responses in an analogous manner to in vivo conditions. Such a tumor spheroid model built in a decellularized scaffold containing organ-specific vasculatures, which closely resembles the unique tumor microenvironment, holds the promise to efficiently assess various diagnostic and therapeutic strategies for endovascular therapies.
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Affiliation(s)
- Yanan Gao
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.
| | - Jingyu Xiao
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.
| | - Zijian Chen
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China. .,Department of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - Yutao Ma
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.
| | - Xiaoya Liu
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.
| | - Dishuang Yang
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.
| | - Hwa Liang Leo
- Department of Biomedical Engineering, National University of Singapore, Singapore, 117583, Singapore
| | - Hanry Yu
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593, Singapore.,Mechanobiology Institute, National University of Singapore, Singapore 117411, Singapore.,Institute of Bioengineering and Nanotechnology, Agency for Science, Technology and Research, Singapore 138669, Singapore.,Singapore-MIT Alliance for Research and Technology, Singapore 138602, Singapore
| | - Jian Kong
- Department of Interventional Radiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, Guangdong, 518020, China.
| | - Qiongyu Guo
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.
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Mut SR, Mishra S, Vazquez M. A Microfluidic Eye Facsimile System to Examine the Migration of Stem-like Cells. MICROMACHINES 2022; 13:mi13030406. [PMID: 35334698 PMCID: PMC8954941 DOI: 10.3390/mi13030406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/05/2022] [Revised: 02/24/2022] [Accepted: 02/24/2022] [Indexed: 02/05/2023]
Abstract
Millions of adults are affected by progressive vision loss worldwide. The rising incidence of retinal diseases can be attributed to damage or degeneration of neurons that convert light into electrical signals for vision. Contemporary cell replacement therapies have transplanted stem and progenitor-like cells (SCs) into adult retinal tissue to replace damaged neurons and restore the visual neural network. However, the inability of SCs to migrate to targeted areas remains a fundamental challenge. Current bioengineering projects aim to integrate microfluidic technologies with organotypic cultures to examine SC behaviors within biomimetic environments. The application of neural phantoms, or eye facsimiles, in such systems will greatly aid the study of SC migratory behaviors in 3D. This project developed a bioengineering system, called the μ-Eye, to stimulate and examine the migration of retinal SCs within eye facsimiles using external chemical and electrical stimuli. Results illustrate that the imposed fields stimulated large, directional SC migration into eye facsimiles, and that electro-chemotactic stimuli produced significantly larger increases in cell migration than the individual stimuli combined. These findings highlight the significance of microfluidic systems in the development of approaches that apply external fields for neural repair and promote migration-targeted strategies for retinal cell replacement therapy.
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Affiliation(s)
- Stephen Ryan Mut
- Department of Biomedical Engineering, Rutgers, The State University of New Jersey, 599 Taylor Rd, Piscataway, NJ 08854, USA;
| | - Shawn Mishra
- Regeneron, 777 Old Saw Mill River Rd, Tarrytown, NY 10591, USA;
| | - Maribel Vazquez
- Department of Biomedical Engineering, Rutgers, The State University of New Jersey, 599 Taylor Rd, Piscataway, NJ 08854, USA;
- Correspondence:
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Gao X, Chen Z, Chen Z, Liu X, Luo Y, Xiao J, Gao Y, Ma Y, Liu C, Leo HL, Yu H, Guo Q. Visualization and Evaluation of Chemoembolization on a 3D Decellularized Organ Scaffold. ACS Biomater Sci Eng 2021; 7:5642-5653. [PMID: 34735119 DOI: 10.1021/acsbiomaterials.1c01005] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Transarterial chemoembolization (TACE) has emerged as the mainstay treatment for patients suffering from unresectable intermediate hepatocellular carcinoma and also holds the potential to treat other types of hypervascular cancers such as renal cell carcinoma. However, an in vitro model for evaluating both embolic performance and drug-release kinetics of the TACE embolic agents is still lacking since the current models greatly simplified the in vivo vascular systems as well as the extracellular matrices (ECM) in the organs. Here, we developed a decellularized organ model with preserved ECM and vasculatures as well as a translucent appearance to investigate chemoembolization performances of a clinically widely used embolic agent, i.e., a doxorubicin-loaded ethiodised oil (EO)-based emulsion. We, for the first time, utilized an ex vivo model to evaluate the liquid-based embolic agent in two organs, i.e., liver and kidneys. We found that the EO-based emulsion with enhanced stability by incorporating an emulsifier, i.e., hydrogenated castor oil-40 (HCO), showed an enhanced occlusion level and presented sustained drug release in the ex vivo liver model, suggesting an advantageous therapeutic effect for TACE treatment of hepatocellular carcinoma. In contrast, we observed that drug-release burst happened when applying the same therapy in the kidney model even with the HCO emulsifier, which may be explained by the presence of the specific renal vasculature and calyceal systems, indicating an unfavorable effect in the renal tumor treatment. Such an ex vivo model presents a promising template for chemoembolization evaluation before in vivo experiments for the development of novel embolic agents.
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Affiliation(s)
- Xu Gao
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Zijian Chen
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.,Department of Biomedical Engineering, National University of Singapore, Engineering Drive 3, Engineering Block 4, #04-08, 117583 Singapore
| | - Zhengchang Chen
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Xiaoya Liu
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Yucheng Luo
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Jingyu Xiao
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Yanan Gao
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Yutao Ma
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Chuang Liu
- Cryo-EM Center, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
| | - Hwa Liang Leo
- Department of Biomedical Engineering, National University of Singapore, Engineering Drive 3, Engineering Block 4, #04-08, 117583 Singapore
| | - Hanry Yu
- Mechanobiology Institute, National University of Singapore, 117411 Singapore.,Institute of Bioengineering and Nanotechnology, Agency for Science, Technology and Research, 138669 Singapore.,Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, 117593 Singapore.,Singapore-MIT Alliance for Research and Technology, 138602 Singapore
| | - Qiongyu Guo
- Shenzhen Key Laboratory of Smart Healthcare Engineering, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China
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