类器官与微流体:芯片类器官的最新进展、挑战和未来。

In vitro models Pub Date : 2025-03-05 eCollection Date: 2025-02-01 DOI:10.1007/s44164-025-00086-7
Talha Chauhdari, Syeda Armana Zaidi, Jilei Su, Yongsheng Ding
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引用次数: 0

摘要

类器官是来源于干细胞或原代细胞的三维、小型化的组织样结构,是研究发育生物学、疾病病理学和药物发现的强大体外模型。与传统的细胞培养相比,这些类器官更准确地模拟了细胞间的相互作用和人体组织的复杂性。然而,有限的营养供应和生物力学线索复制等挑战阻碍了它们的成熟和生存能力。微流控技术具有控制流体流动和模拟组织机械环境的能力,已经与类器官相结合,创建了解决这些限制的类器官芯片模型。这些模型不仅提高了类器官的生理相关性,而且能够更精确地研究疾病机制和治疗反应。通过结合微流体和类器官,一些先进的类器官芯片模型已经开发出来,以研究参与疾病进展的机械和生化线索。本文综述了芯片类器官的各种开发方法和近年来建立的具有先进功能的芯片类器官模型。最后,我们强调了增强类器官模型功能的潜在策略,旨在克服当前的局限性,弥合当前细胞培养模型与临床应用之间的差距,推进个性化医疗,改进治疗测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Organoids meet microfluidics: recent advancements, challenges, and future of organoids-on-chip.

Organoids are three-dimensional, miniaturized tissue-like structures derived from either stem cells or primary cells, emerging as powerful in vitro models for studying developmental biology, disease pathology, and drug discovery. These organoids more accurately mimic cell-cell interactions and complexities of human tissues compared to traditional cell cultures. However, challenges such as limited nutrient supply and biomechanical cue replication hinder their maturation and viability. Microfluidic technologies, with their ability to control fluid flow and mimic the mechanical environment of tissues, have been integrated with organoids to create organoid-on-chip models that address these limitations. These models not only improve the physiological relevance of organoids but also enable more precise investigation of disease mechanisms and therapeutic responses. By combining microfluidics and organoids, several advanced organoids-on-chip models have been developed to investigate mechanical and biochemical cues involved in disease progression. This review discusses various methods to develop organoids-on-chip and the recently established organoids-on-chip models with their advanced functions. Finally, we highlighted potential strategies to enhance the functionality of organoid models, aiming to overcome current limitations and bridge the gap between current cell culture models and clinical applications, advancing personalized medicine, and improving therapeutic testing.

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