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高通量和仿生疾病建模的制造方法。

Fabrication approaches for high-throughput and biomimetic disease modeling.

机构信息

Department of Biomedical Engineering, University of Virginia, Unites States.

Department of Biomedical Engineering, University of Virginia, Unites States; Department of Chemical Engineering, University of Virginia, Unites States.

出版信息

Acta Biomater. 2021 Sep 15;132:52-82. doi: 10.1016/j.actbio.2021.03.006. Epub 2021 Mar 11.

Abstract

There is often a tradeoff between in vitro disease modeling platforms that capture pathophysiologic complexity and those that are amenable to high-throughput fabrication and analysis. However, this divide is closing through the application of a handful of fabrication approaches-parallel fabrication, automation, and flow-driven assembly-to design sophisticated cellular and biomaterial systems. The purpose of this review is to highlight methods for the fabrication of high-throughput biomaterial-based platforms and showcase examples that demonstrate their utility over a range of throughput and complexity. We conclude with a discussion of future considerations for the continued development of higher-throughput in vitro platforms that capture the appropriate level of biological complexity for the desired application. STATEMENT OF SIGNIFICANCE: There is a pressing need for new biomedical tools to study and understand disease. These platforms should mimic the complex properties of the body while also permitting investigation of many combinations of cells, extracellular cues, and/or therapeutics in high-throughput. This review summarizes emerging strategies to fabricate biomimetic disease models that bridge the gap between complex tissue-mimicking microenvironments and high-throughput screens for personalized medicine.

摘要

体外疾病建模平台通常在捕捉生理病理复杂性和易于高通量制造和分析之间存在权衡。然而,通过应用一些制造方法——并行制造、自动化和流驱动组装——来设计复杂的细胞和生物材料系统,这种差距正在缩小。本文的目的是强调高通量基于生物材料平台的制造方法,并展示一些例子,说明它们在不同的通量和复杂性范围内的实用性。我们最后讨论了继续开发具有适当生物学复杂性的高通量体外平台的未来考虑因素,以满足预期应用的需要。

意义声明: 迫切需要新的生物医学工具来研究和理解疾病。这些平台应模拟身体的复杂特性,同时允许高通量研究多种细胞、细胞外线索和/或治疗方法的组合。这篇综述总结了新兴的制造仿生疾病模型的策略,这些模型缩小了复杂的组织模拟微环境与个性化医疗高通量筛选之间的差距。

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