通过数值模拟推进芯片血脑屏障模型的发展

IF 5.5 3区 工程技术 Q1 BIOCHEMICAL RESEARCH METHODS
Violeta Carvalho, Raquel O. Rodrigues, Su Ryon Shin, Rui Lima, Senhorinha F. C. F. Teixeira
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引用次数: 0

摘要

研究人员已将工程组织或天然组织置于微流控芯片中,形成了所谓的芯片上器官(OoC)装置。有了这项技术,器官模型就可以在复杂的体内生物环境中进行实验。此外,在疾病研究和药物发现方面,与在动物模型中进行的检测相比,OoC 设备是一种更有价值、更具成本效益和更符合道德规范的选择。然而,鉴于血脑屏障(BBB)的复杂性和结构,在体外复制某些器官/疾病仍面临许多挑战。尽管困难重重,但人们仍在努力开发改进的体外 BBB 芯片模型,以研究多种神经系统疾病。在本综述中,我们总结了在开发芯片上 BBB 方面取得的进展,重点介绍了使用数值模拟获得改进模型和更好地规划实验测定的重要性。此外,还介绍了未来展望和当前面临的挑战。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Advancing Blood–Brain Barrier-on-a-Chip Models Through Numerical Simulations

Advancing Blood–Brain Barrier-on-a-Chip Models Through Numerical Simulations

Researchers have placed engineered or natural tissues within microfluidic chips originating the so-called organ-on-a-chip (OoC) devices. With this technology, organ models can be subjected to phenomena that replicate the complex in vivo biological environment. Furthermore, the OoC devices constitute a more valuable, cost-effective and ethical option when compared to assays performed in animal models for disease research and drug discovery. However, there are still many challenges in replicating some organs/diseases in vitro such as the Blood–Brain Barrier (BBB), given its complexity and structure. Despite the difficulties, many efforts have been made to develop improved in vitro BBB-on-a-chip models to investigate several neurological disorders. In the present review, a summary of the progress made in the development of BBB-on-a-chip is provided focusing on the importance of using numerical simulations for obtaining improved models and better planning the experimental assays. In addition, the future perspectives and current challenges are provided.

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来源期刊
BioChip Journal
BioChip Journal 生物-生化研究方法
CiteScore
7.70
自引率
16.30%
发文量
47
审稿时长
6-12 weeks
期刊介绍: BioChip Journal publishes original research and reviews in all areas of the biochip technology in the following disciplines, including protein chip, DNA chip, cell chip, lab-on-a-chip, bio-MEMS, biosensor, micro/nano mechanics, microfluidics, high-throughput screening technology, medical science, genomics, proteomics, bioinformatics, medical diagnostics, environmental monitoring and micro/nanotechnology. The Journal is committed to rapid peer review to ensure the publication of highest quality original research and timely news and review articles.
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