Article
Engineering, Biomedical
Jiaxian Chen, Shiwen Ma, Hui Yang, Xi Liang, Heng Yao, Beibei Guo, Deying Chen, Jing Jiang, Dongyan Shi, Jiaojiao Xin, Keke Ren, Xingping Zhou, Yun Li, Lei Geng, Jun Li
Summary: Developed functional ductal organoids (FDOs) with biliary tree networks in rat decellularized liver scaffolds (DLSs) using primary cholangiocytes from mouse bile ducts. FDOs showed morphological and functional characteristics of bile secretion and transportation, as well as the expression of specific biomarkers and the key molecule serotonin throughout the culture period. These FDOs may serve as valuable tools for disease modeling and drug screening in the field of liver regenerative medicine.
BIOACTIVE MATERIALS
(2023)
Article
Engineering, Biomedical
Katsuhiro Tomofuji, Ken Fukumitsu, Jumpei Kondo, Hiroshi Horie, Kenta Makino, Satoshi Wakama, Takashi Ito, Yu Oshima, Satoshi Ogiso, Takamichi Ishii, Masahiro Inoue, Etsuro Hatano
Summary: In this study, researchers reconstructed intrahepatic bile ducts in a rat decellularized liver graft using organoid technology. Through an ex vivo perfusion culture system, they successfully demonstrated the biliary characteristics of repopulated liver organoids and reconstructed biliary tree-like networks with luminal structures. They also established a method to mimic the appropriate cell distribution in the native liver and demonstrated reconstructed bile ducts in human organoids.
Article
Engineering, Biomedical
Jorke Willemse, Gilles van Tienderen, Eline van Hengel, Ivo Schurink, Diana van der Ven, Yik Kan, Petra de Ruiter, Oskar Rosmark, Gunilla Westergren-Thorsson, Kerstin Schneeberger, Bram van der Eerden, Henk Roest, Bart Spee, Luc van der Laan, Jeroen de Jonge, Monique Verstegen
Summary: This study describes the culture and expansion of human cholangiocyte organoids using liver ECM-derived hydrogels. These hydrogels support the proliferation of organoids and maintain their phenotypic characteristics. Compared to traditional mouse tumor-derived extracellular matrix, liver ECM hydrogels do not significantly alter gene or protein expression and are not affected by species-specific differences. Additionally, the use of human liver ECM extracts enables the expansion of organoids in a dynamic culture set up without the need for laborious static culture.
Article
Polymer Science
Igor Slivac, Emilija Zdraveva, Fran Ivancic, Bojan Zunar, Tamara Holjevac Grguric, Visnja Gaurina Srcek, Ivan-Kresimir Svetec, Tamara Dolenec, Emi Govorcin Bajsic, Mirna Tominac Trcin, Budimir Mijovic
Summary: This study compared the structural and biological characteristics of cell scaffolds made of synthetic polyester and natural protein-based extracellular matrix, showing that the differences between the two matrices did not affect cell growth and transfection efficiency. The results suggest that PCL electrospun mats can be a viable option for producing simple, cell carrying structures that adequately simulate the natural scaffold.
Article
Biochemistry & Molecular Biology
Nathan Carpentier, Louis Van der Meeren, Andre G. Skirtach, Lindsey Devisscher, Hans Van Vlierberghe, Peter Dubruel, Sandra Van Vlierberghe
Summary: This study developed Dexox-Gel and DexNB-GelSH hydrogels and investigated their processability and in vitro biocompatibility. The results showed that DexNB-GelSH exhibited physicochemical properties similar to natural liver tissue and had comparable performance to GelMA in biological evaluation, indicating its promising potential in the field of liver tissue engineering.
Review
Cell & Tissue Engineering
Marlon Lemos Dias, Bruno Andrade Paranhos, Regina Coeli dos Santos Goldenberg
Summary: Liver transplantation is a crucial treatment for liver diseases, but its availability is limited. Liver scaffold transplantation, based on extracellular matrix, offers great potential in regenerative medicine. Recent studies suggest that it can help restore liver function in preclinical models, showing promise as a future treatment. This review discusses strategies, limitations, and future directions of liver scaffold transplantation.
JOURNAL OF TISSUE ENGINEERING
(2022)
Review
Endocrinology & Metabolism
Silke De Vriendt, Celia Mesias Casares, Susana Rocha, Hugo Vankelecom
Summary: The uterus-lining endometrium is crucial for mammalian reproduction, but its mechanisms and diseases are not well understood due to its hidden location and lack of suitable research models. Recently, 3D organoid models have been developed to replicate the endometrium, including the reproduction of the menstrual cycle. However, there are limitations in the current use of organoids, such as lack of standardization and xenografting, which hinder clinical translation. Therefore, researchers are seeking better alternatives, such as fully defined matrices, to improve the growth of organoids and advance their application in basic research and clinical fields.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Chemistry, Multidisciplinary
Jin Won Kim, Sun Ah Nam, Jawoon Yi, Jae Yun Kim, Jong Young Lee, Seo-Yeon Park, Tugce Sen, Yoo-mi Choi, Jae Yeon Lee, Hong Lim Kim, Hyung Wook Kim, Jiwhan Park, Dong-Woo Cho, Yong Kyun Kim
Summary: Using a kidney decellularized extracellular matrix hydrogel to culture hPSC-derived kidney organoids can promote vascularization and maturation of the organoids, leading to a pattern more similar to human kidneys.
Article
Biochemistry & Molecular Biology
Can Ergun, Mahmut Parmaksiz, Murat Taner Vurat, Ayse Eser Elcin, Yasar Murat Elcin
Summary: A macroporous 3D scaffold derived from decellularized bovine liver ECM was developed with defined biological, physical, and mechanical properties. The scaffold showed stable mechanical performance and high hemocompatibility in vitro. Furthermore, it was demonstrated that the scaffold is suitable for use as a cell substrate.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2022)
Article
Multidisciplinary Sciences
Philipp Felgendreff, Claudia Schindler, Franziska Mussbach, Chichi Xie, Felix Gremse, Utz Settmacher, Uta Dahmen
Summary: The study successfully identified murine liver scaffold-sections with well-preserved microarchitecture using a sequential morphological workflow. Decellularization was feasible in livers with different pathologies, supporting further repopulation experiments.
Article
Biochemistry & Molecular Biology
Thanh Lan Chu, Garima Tripathi, Sang Ho Bae, Byong-Taek Lee
Summary: The combination of chitosan/gelatin (CG) enriched with decellularized liver extracellular matrix powder (dLECM) was optimized to enhance wound healing and reduce postoperative complications. The CG-E4 sponge scaffold showed fast post-operative recovery, higher blood absorption, and faster clotting time, demonstrating its potential as a hemostatic material in surgeries.
INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES
(2021)
Review
Biotechnology & Applied Microbiology
Eun Young Jeon, Leila Sorrells, Hasan Erbil Abaci
Summary: Organoids are self-organized and miniature models of organs that can mimic organ architecture and function, aiding in the understanding of tissue development and diseases. However, current organoid culture systems lack accurate control over biochemical and physical cues, leading to the generation of immature organoids. Recent advances in biomaterials and microengineering technologies offer the potential for better recapitulation of organ morphogenesis and the development of anatomically-relevant organoids.
FRONTIERS IN BIOENGINEERING AND BIOTECHNOLOGY
(2022)
Review
Cell Biology
Yisheng Huang, Zhijie Huang, Zhengming Tang, Yuanxin Chen, Mingshu Huang, Hongyu Liu, Weibo Huang, Qingsong Ye, Bo Jia
Summary: Organoids as a new research model have made significant progress in the past decade, with more advantages compared to traditional models and applications in multiple fields. This review summarizes the advantages and disadvantages of organoids in physiological development, pathological mechanisms, drug screening, and organ transplantation, discussing vascularization, immune microenvironment, and hydrogel as main influencing factors and pointing out future directions of development.
FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY
(2021)
Article
Chemistry, Multidisciplinary
Suran Kim, Yi Sun Choi, Jung Seung Lee, Sung-Hyun Jo, Yun-Gon Kim, Seung-Woo Cho
Summary: Researchers have developed an intestine-mimetic hydrogel that enhances the microenvironment of intestinal organoids, improving their application in disease modeling and regenerative medicine.
JOURNAL OF INDUSTRIAL AND ENGINEERING CHEMISTRY
(2022)
Article
Engineering, Biomedical
Gilles S. van Tienderen, Oskar Rosmark, Ruby Lieshout, Jorke Willemse, Floor de Weijer, Linda Elowsson Rendin, Gunilla Westergren-Thorsson, Michail Doukas, Bas Groot Koerkamp, Martin E. van Royen, Luc J. W. van der Laan, Monique M. A. Verstegen
Summary: Patient-derived tumor organoids were combined with native tumor and liver scaffolds through decellularization to study the interaction between tumor cells and the extracellular matrix (ECM). The use of decellularized scaffolds resulted in a more accurate representation of the in vivo tumor environment and increased chemoresistance. This method also revealed environment-dependent proliferation dynamics and stimulated the production of collagen types.
ACTA BIOMATERIALIA
(2023)
Article
Engineering, Biomedical
Deepak Roy Chittajallu, Matthew McCormick, Samuel Gerber, Tomasz J. Czernuszewicz, Ryan Gessner, Monte S. Willis, Marc Niethammer, Roland Kwitt, Stephen R. Aylward
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2019)
Article
Instruments & Instrumentation
Tomasz J. Czernuszewicz, Virginie Papadopoulou, Juan D. Rojas, Rajalekha M. Rajamahendiran, Jonathan Perdomo, James Butler, Max Harlacher, Graeme O'Connell, Dzenan Zukic, Stephen R. Aylward, Paul A. Dayton, Ryan C. Gessner
REVIEW OF SCIENTIFIC INSTRUMENTS
(2018)
Article
Engineering, Biomedical
Juan D. Rojas, Virginie Papadopoulou, Tomasz J. Czernuszewicz, Rajalekha M. Rajamahendiran, Anna Chytil, Yun-Chen Chiang, Diana C. Chong, Victoria L. Bautch, W. Kimryn Rathmell, Stephen Aylward, Ryan C. Gessner, Paul A. Dayton
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2019)
Article
Computer Science, Interdisciplinary Applications
Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer
Summary: The study introduces a novel approach called PIANO for providing additional insights into the perfusion process, addressing traditional methods' limitations. PIANO is successfully applied to a dataset of acute stroke patients, demonstrating its effectiveness in sensitive measures for stroke assessment compared to conventional measures.
IEEE TRANSACTIONS ON MEDICAL IMAGING
(2021)
Article
Acoustics
Roshan Roshankhah, Yasamin Karbalaeisadegh, Hastings Greer, Federico Mento, Gino Soldati, Andrea Smargiassi, Riccardo Inchingolo, Elena Torri, Tiziano Perrone, Stephen Aylward, Libertario Demi, Marie Muller
Summary: The importance of ultrasound in point-of-care lung assessment, especially in the context of the COVID-19 pandemic, is highlighted. A proposed automatic segmentation method using a convolutional neural network aims to stage the progression of the disease. The study evaluates different test-training strategies and sheds light on efficient approaches and common challenges associated with automatic segmentation methods.
JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
(2021)
Article
Engineering, Biomedical
Yehuda K. Ben-Zikri, Maria Helguera, David Fetzer, David A. Shrier, Stephen R. Aylward, Deepak Chittajallu, Marc Niethammer, Nathan D. Cahill, Cristian A. Linte
Summary: The proposed feature-based affine registration method demonstrates high computational efficiency and reduced susceptibility to artificial deformations, making it suitable for tracking and assessing lung nodules. It effectively compensates for background lung tissue deformation and serves as a reliable baseline registration method for evaluating changes in lung nodules due to disease.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION
(2022)
Article
Critical Care Medicine
Sean Montgomery, Forrest Li, Christopher Funk, Erica Peethumangsin, Michael Morris, Jess T. Anderson, Andrew M. Hersh, Stephen Aylward
Summary: This study used artificial intelligence technology to achieve an 80% accuracy rate in detecting pneumothorax through limited labeling on ultrasound. However, improvements are needed to address issues such as chest wall motion and video length.
JOURNAL OF TRAUMA AND ACUTE CARE SURGERY
(2023)
Article
Computer Science, Artificial Intelligence
Samuel Gerber, Marc Niethammer, Ebrahim Ebrahim, Joseph Piven, Stephen R. Dager, Martin Styner, Stephen Aylward, Andinet Enquobahrie
Summary: Brain pathologies often lead to tissue loss and neuroimaging studies aim to capture these changes. Morphometric analysis and optimal transport feature extraction can help identify tissue changes and differences that are not otherwise measurable due to spatial misalignment or volume differences. In a study on Alzheimer's disease, the proposed approach demonstrated increased statistical power and separation of changes due to tissue location.
MEDICAL IMAGE ANALYSIS
(2023)
Article
Engineering, Biomedical
Jiayi Xu, Gaspard Thevenon, Timothee Chabat, Matthew McCormick, Forrest Li, Tom Birdsong, Ken Martin, Yueh Lee, Stephen Aylward
Summary: This paper introduces an open-source solution for medical image visualization, CVR extension. By evaluating the speed and quality of various CVR techniques on different medical data, this work can help medical imaging researchers and developers make more informed decisions when selecting suitable CVR algorithms.
COMPUTER METHODS IN BIOMECHANICS AND BIOMEDICAL ENGINEERING-IMAGING AND VISUALIZATION
(2023)
Proceedings Paper
Computer Science, Artificial Intelligence
Peirong Liu, Yueh Lee, Stephen Aylward, Marc Niethammer
Summary: Advection-diffusion equations are used to describe natural transport processes, and the machine learning model D2 SONATA is developed based on these equations to predict the velocity and diffusion fields in image time-series transport. This model can be applied in medical contexts for quantifying abnormal transport behaviors.
2022 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2022)
(2022)
Proceedings Paper
Computer Science, Artificial Intelligence
Peirong Liu, Lin Tian, Yubo Zhang, Stephen Aylward, Yueh Lee, Marc Niethammer
Summary: Transport processes are essential in various fields, such as optical flow and perfusion imaging. The study focuses on estimating the physics underlying advection-diffusion equations and proposes a learning framework (YETI) to improve prediction accuracy by incorporating an auto-encoder structure. The research demonstrates the benefits of using representations to ensure incompressible flow and symmetric positive semi-definite diffusion fields, ultimately showing success in distinguishing stroke lesions in brain MR perfusion data.
2021 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION, CVPR 2021
(2021)
Article
Engineering, Biomedical
Tamas Ungi, Hastings Greer, Kyle R. Sunderland, Victoria Wu, Zachary M. C. Baum, Christopher Schlenger, Matthew Oetgen, Kevin Cleary, Stephen R. Aylward, Gabor Fichtinger
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
(2020)
Proceedings Paper
Computer Science, Theory & Methods
Samuel Gerber, Marc Niethammer, Martin Styner, Stephen Aylward
MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION, PT III
(2018)
Proceedings Paper
Engineering, Biomedical
Hastings Greer, Sam Gerber, Marc Niethammer, Roland Kwitt, Matt McCormick, Deepak Chittajallu, Neal Siekierski, Matthew Oetgen, Kevin Cleary, Stephen Aylward
2018 IEEE 15TH INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI 2018)
(2018)
Proceedings Paper
Computer Science, Theory & Methods
Maeliss Jallais, Hastings Greer, Sam Gerber, Matt McCormick, Deepak Chittajallu, Neal Siekierski, Stephen Aylward
IMAGING FOR PATIENT-CUSTOMIZED SIMULATIONS AND SYSTEMS FOR POINT-OF-CARE ULTRASOUND
(2017)
Article
Engineering, Biomedical
Lin-Lin Luo, Jie Xu, Bing-Qiao Wang, Chen Chen, Xi Chen, Qiu-Mei Hu, Yu-Qiu Wang, Wan-Yun Zhang, Wan-Xiang Jiang, Xin-Ting Li, Hu Zhou, Xiao Xiao, Kai Zhao, Sen Lin
Summary: A novel AAV serotype, AAVYC5, introduced in this study, showed more efficient transduction into multiple retinal layers compared to AAV2, and enabled successful delivery of anti-angiogenic molecules in mice and non-human primates.