用于体外临床前药物测试的高通量生理微模型:工程系统方法综述

IF 5 Q1 ENGINEERING, BIOMEDICAL
Huagui Zhang, R. Whalley, A. Ferreira, K. Dalgarno
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引用次数: 13

摘要

为了解决新药发现成功率低的问题,基于人类细胞的体外生理微模型显著增长。这些可能是细胞球体、芯片上器官或多细胞组织培养物的形式,预计在临床测试前的药物筛选中,它们创造的更仿生的环境将比标准细胞培养物更准确。然而,复杂的共同文化的商业用途仍然有限。这是由于缺乏验证、吞吐率低以及与标准评估技术缺乏兼容性。这篇综述论文特别关注用于创建、成熟和分析这些微观模型的不同工程方法,目的是探索哪些方法具有高通量的潜力。主动和被动泵送和基于喷嘴的分配技术被考虑用于流体处理,Transwell、细胞图案化、球体培养物和微流体被考虑用于建立和维持共培养物,结合传统的分析技术(蛋白质组学和基因组学方法以及免疫组织化学)和用于下游分析的新型传感器系统。得出的结论是:(i)吞吐量对于模型的验证和开发至关重要,(ii)为实现高吞吐量而进行模型重新设计的综合方法是关键,考虑每个阶段的吞吐量限制,以开发一个能够在流程的所有阶段以高吞吐量进行交付和分析的系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
High throughput physiological micro-models for in vitro pre-clinical drug testing: a review of engineering systems approaches
To address the low success rate of new drug discovery, there has been significant growth of in vitro physiological micro-models based on human cells. These may be in the form of cell spheroids, organs-on-a-chip, or multi-cellular tissue cultures, and it is expected that the more biomimetic environment they create will be more accurate than standard cell culture in drug screening prior to clinical testing. However, commercial use of complex co-cultures is still limited. This is due to a lack of validation, low throughput rates, and a lack of compatibility with standard assessment techniques. This review paper focusses specifically on the different engineering approaches used to create, mature and analyse these micro-models, with the aim of exploring which approaches have the potential for high throughput. Active and passive pumping and nozzle based dispensing techniques are considered for fluid handling, with transwells, cell patterning, spheroid cultures and microfluidics considered for establishing and maintaining co-cultures, together with conventional analysis techniques (proteomic and genomic approaches, and immunohistochemistry) and novel sensor systems for downstream analysis are considered. It is concluded that (i) throughput is essential for validation as well as exploitation of the models, and (ii) an integrated approach to model re-design for high throughput is key, with the limitations on throughput at each stage considered in order to develop a system which can deliver and analyse at high throughput rates at all stages of the process.
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CiteScore
9.40
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