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用于基于药代动力学的疾病模型的微流控肠轴芯片模型。

Microfluidic gut-axis-on-a-chip models for pharmacokinetic-based disease models.

作者信息

Kim Raehyun, Sung Jong Hwan

机构信息

Department of Biological and Chemical Engineering, Hongik University, Sejong 30016, Republic of Korea.

Department of Chemical Engineering, Hongik University, Seoul 04066, Republic of Korea.

出版信息

Biomicrofluidics. 2024 Jun 26;18(3):031507. doi: 10.1063/5.0206271. eCollection 2024 May.

DOI:10.1063/5.0206271
PMID:38947281
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11210976/
Abstract

The low success rate of new drugs transitioning from animal testing to human clinical trials necessitates the development of more accurate and representative models. Recent advances in multi-organ-on-a-chip technology offer promising avenues for studying complex organ-organ interactions. Gut-liver-on-a-chip systems hold particular promise for mimicking the intricate interplay between the gut and liver, which play crucial roles in nutrient absorption, drug metabolism, detoxification, and immune response. Here, we discuss the key components of the gut-liver axis, including the gut epithelium, liver cells, gut microbiota, and their roles in the organ functions. We then explore the potential of gut-liver-on-a-chip models to replicate the intricate interactions between the two organs for pharmacokinetic studies and their expansion to more complicated multi-organ models. Finally, we provide perspectives and future directions for developing more physiologically relevant gut-liver-axis models for more efficient drug development, studying liver diseases, and personalizing treatment strategies.

摘要

新药从动物试验过渡到人体临床试验的成功率较低,因此需要开发更准确、更具代表性的模型。多器官芯片技术的最新进展为研究复杂的器官间相互作用提供了有前景的途径。肠-肝芯片系统在模拟肠道和肝脏之间复杂的相互作用方面具有独特的前景,肠道和肝脏在营养吸收、药物代谢、解毒和免疫反应中起着关键作用。在这里,我们讨论肠-肝轴的关键组成部分,包括肠道上皮、肝细胞、肠道微生物群及其在器官功能中的作用。然后,我们探讨肠-肝芯片模型在复制两个器官之间复杂相互作用以进行药代动力学研究以及将其扩展到更复杂的多器官模型方面的潜力。最后,我们为开发更具生理相关性的肠-肝轴模型提供观点和未来方向,以实现更高效的药物开发、研究肝脏疾病以及个性化治疗策略。

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本文引用的文献

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Dissecting Gut-Microbial Community Interactions using a Gut Microbiome-on-a-Chip.利用肠道微生物组芯片解析肠道微生物群落相互作用。
Adv Sci (Weinh). 2024 May;11(20):e2302113. doi: 10.1002/advs.202302113. Epub 2024 Feb 27.
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Drug-microbiota interactions: an emerging priority for precision medicine.药物-微生物群相互作用:精准医学中一个新出现的优先事项。
Signal Transduct Target Ther. 2023 Oct 9;8(1):386. doi: 10.1038/s41392-023-01619-w.
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Comprehensive analysis of metabolites produced by co-cultivation of MCC1274 with human iPS-derived intestinal epithelial cells.对MCC1274与人诱导多能干细胞衍生的肠上皮细胞共培养产生的代谢产物的综合分析。
Front Microbiol. 2023 Apr 13;14:1155438. doi: 10.3389/fmicb.2023.1155438. eCollection 2023.
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In vitro models to study human gut-microbiota interactions: Applications, advances, and limitations.用于研究人类肠道微生物群相互作用的体外模型:应用、进展与局限
Microbiol Res. 2023 May;270:127336. doi: 10.1016/j.micres.2023.127336. Epub 2023 Feb 16.
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Gut immune cells and intestinal niche imprinting.肠道免疫细胞和肠道生态位印记
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Biomicrofluidics. 2022 Aug 26;16(4):044113. doi: 10.1063/5.0088232. eCollection 2022 Jul.
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Application of a gut-liver-on-a-chip device and mechanistic modelling to the quantitative pharmacokinetic study of mycophenolate mofetil.应用肠道-肝脏芯片装置和机制建模进行麦考酚酸定量药代动力学研究。
Lab Chip. 2022 Jul 26;22(15):2853-2868. doi: 10.1039/d2lc00276k.
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Acute and persistent effects of commonly used antibiotics on the gut microbiome and resistome in healthy adults.常用抗生素对健康成年人肠道微生物组和抗药组的急性和持续影响。
Cell Rep. 2022 Apr 12;39(2):110649. doi: 10.1016/j.celrep.2022.110649.
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Bile Acids, Gut Microbes, and the Neighborhood Food Environment-a Potential Driver of Colorectal Cancer Health Disparities.胆汁酸、肠道微生物和社区食物环境——可能导致结直肠癌健康差异的因素。
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