Department of Biological and Chemical Engineering, Hongik University, Sejong, 30016, Republic of Korea.
Department of Chemical Engineering, Hongik University, Seoul, 04066, Republic of Korea.
Adv Healthc Mater. 2024 Aug;13(21):e2302777. doi: 10.1002/adhm.202302777. Epub 2024 Feb 3.
The human gut extracts nutrients from the diet while forming the largest barrier against the outer environment. In addition, the gut actively maintains homeostasis through intricate interactions with the gut microbes, the immune system, the enteric nervous system, and other organs. These interactions influence digestive health and, furthermore, play crucial roles in systemic health and disease. Given its primary role in absorbing and metabolizing orally administered drugs, there is significant interest in the development of preclinical in vitro model systems that can accurately emulate the intestine in vivo. A gut-on-a-chip system holds great potential as a testing and screening platform because of its ability to emulate the physiological aspects of in vivo tissues and expandability to incorporate and combine with other organs. This review aims to identify the key physiological features of the human gut that need to be incorporated to build more accurate preclinical models and highlights the recent progress in gut-on-a-chip systems and competing technologies toward building more physiologically relevant preclinical model systems. Furthermore, various efforts to construct multi-organ systems with the gut, called gut-organ-axis-on-a-chip models, are discussed. In vitro gut models with physiological relevance can provide valuable platforms for bridging the gap between preclinical and clinical studies.
人类肠道从饮食中提取营养,同时形成抵御外部环境的最大屏障。此外,肠道通过与肠道微生物、免疫系统、肠神经系统和其他器官的复杂相互作用,积极维持体内平衡。这些相互作用影响消化健康,并且在全身健康和疾病中发挥关键作用。鉴于其在吸收和代谢口服药物方面的主要作用,人们对开发能够准确模拟体内肠道的临床前体外模型系统产生了浓厚的兴趣。由于肠道芯片系统能够模拟体内组织的生理特征,并能够扩展到与其他器官相结合,因此它作为一种测试和筛选平台具有巨大的潜力。本文旨在确定构建更准确临床前模型需要纳入的人类肠道的关键生理特征,并重点介绍肠道芯片系统和竞争技术在构建更具生理相关性的临床前模型系统方面的最新进展。此外,还讨论了构建具有肠道的多器官系统,即肠道-器官轴芯片模型的各种努力。具有生理相关性的体外肠道模型可以为弥合临床前和临床研究之间的差距提供有价值的平台。