Organs-on-chips: into the next decade

复杂度 试验药物 计算机科学 风险分析(工程) 药物发现 数据科学 相关性(法律) 临床前试验 药物开发 人类疾病 医学 疾病 临床试验 生物 生物信息学 药品 医学物理学 病理 药理学 政治学 法学 社会学 社会科学
作者
Lucie A. Low,Christine L. Mummery,Brian R. Berridge,Christopher P. Austin,Danilo A. Tagle
出处
期刊:Nature Reviews Drug Discovery [Nature Portfolio]
卷期号:20 (5): 345-361 被引量:919
标识
DOI:10.1038/s41573-020-0079-3
摘要

Organs-on-chips (OoCs), also known as microphysiological systems or ‘tissue chips’ (the terms are synonymous), have attracted substantial interest in recent years owing to their potential to be informative at multiple stages of the drug discovery and development process. These innovative devices could provide insights into normal human organ function and disease pathophysiology, as well as more accurately predict the safety and efficacy of investigational drugs in humans. Therefore, they are likely to become useful additions to traditional preclinical cell culture methods and in vivo animal studies in the near term, and in some cases replacements for them in the longer term. In the past decade, the OoC field has seen dramatic advances in the sophistication of biology and engineering, in the demonstration of physiological relevance and in the range of applications. These advances have also revealed new challenges and opportunities, and expertise from multiple biomedical and engineering fields will be needed to fully realize the promise of OoCs for fundamental and translational applications. This Review provides a snapshot of this fast-evolving technology, discusses current applications and caveats for their implementation, and offers suggestions for directions in the next decade. Organs-on-chips (OoCs) could be useful at various stages of drug discovery and development, providing insight regarding human organ physiology in both normal and disease contexts, as well as accurately predicting developmental drug safety and efficacy. This Review discusses the advances that have enabled OoCs to demonstrate physiological relevance, and the challenges and opportunities that need to be tackled to tap the full potential of OoC utility for translational research.
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