Jie Liu, Yimei Du, Xinxin Xiao, Daopeng Tan, Yuqi He, Lin Qin
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引用次数: 0
Abstract
The liver is the largest internal organ of the human body. It has a complex structure and function and plays a vital role in drug metabolism. In recent decades, extensive research has aimed to develop in vitro models that can simulate liver function to demonstrate changes in the physiological and pathological environment of the liver. Animal models and in vitro cell models are common, but the data obtained from animal models lack relevance when applied to humans, while cell models have limited predictive ability for metabolism and toxicity in humans. Recent advancements in tissue engineering, biomaterials, chip technology, and 3D bioprinting have provided opportunities for further research in in vitro models. Among them, liver-on-a-Chip (LOC) technology has made significant achievements in reproducing the in vivo behavior, physiological microenvironment, and metabolism of cells and organs. In this review, we discuss the development of LOC and its research progress in liver diseases, hepatotoxicity tests, and drug screening, as well as chip combinations. First, we review the structure and the physiological function of the liver. Then, we introduce the LOC technology, including general concepts, preparation materials, and methods. Finally, we review the application of LOC in disease modeling, hepatotoxicity tests, drug screening, and chip combinations, as well as the future challenges and directions of LOC.
肝脏是人体最大的内脏器官。它具有复杂的结构和功能,在药物代谢中起着至关重要的作用。近几十年来,大量研究旨在开发可模拟肝脏功能的体外模型,以展示肝脏生理和病理环境的变化。动物模型和体外细胞模型很常见,但动物模型获得的数据在应用于人体时缺乏相关性,而细胞模型对人体代谢和毒性的预测能力有限。组织工程、生物材料、芯片技术和三维生物打印技术的最新进展为体外模型的进一步研究提供了机会。其中,肝脏芯片(LOC)技术在再现细胞和器官的体内行为、生理微环境和新陈代谢方面取得了重大成就。在这篇综述中,我们将讨论 LOC 的发展及其在肝脏疾病、肝毒性测试和药物筛选方面的研究进展,以及芯片组合。首先,我们回顾了肝脏的结构和生理功能。然后,介绍 LOC 技术,包括一般概念、制备材料和方法。最后,我们回顾了 LOC 在疾病建模、肝毒性测试、药物筛选和芯片组合中的应用,以及 LOC 未来面临的挑战和发展方向。
期刊介绍:
BioMedical Engineering OnLine is an open access, peer-reviewed journal that is dedicated to publishing research in all areas of biomedical engineering.
BioMedical Engineering OnLine is aimed at readers and authors throughout the world, with an interest in using tools of the physical and data sciences and techniques in engineering to understand and solve problems in the biological and medical sciences. Topical areas include, but are not limited to:
Bioinformatics-
Bioinstrumentation-
Biomechanics-
Biomedical Devices & Instrumentation-
Biomedical Signal Processing-
Healthcare Information Systems-
Human Dynamics-
Neural Engineering-
Rehabilitation Engineering-
Biomaterials-
Biomedical Imaging & Image Processing-
BioMEMS and On-Chip Devices-
Bio-Micro/Nano Technologies-
Biomolecular Engineering-
Biosensors-
Cardiovascular Systems Engineering-
Cellular Engineering-
Clinical Engineering-
Computational Biology-
Drug Delivery Technologies-
Modeling Methodologies-
Nanomaterials and Nanotechnology in Biomedicine-
Respiratory Systems Engineering-
Robotics in Medicine-
Systems and Synthetic Biology-
Systems Biology-
Telemedicine/Smartphone Applications in Medicine-
Therapeutic Systems, Devices and Technologies-
Tissue Engineering