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标准化微生理系统中的设计和新兴定量特征。

Standardizing designed and emergent quantitative features in microphysiological systems.

机构信息

Leiden University Medical Center, Leiden, the Netherlands.

University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.

出版信息

Nat Biomed Eng. 2024 Aug;8(8):941-962. doi: 10.1038/s41551-024-01236-0. Epub 2024 Aug 26.

DOI:10.1038/s41551-024-01236-0
PMID:39187664
Abstract

Microphysiological systems (MPSs) are cellular models that replicate aspects of organ and tissue functions in vitro. In contrast with conventional cell cultures, MPSs often provide physiological mechanical cues to cells, include fluid flow and can be interlinked (hence, they are often referred to as microfluidic tissue chips or organs-on-chips). Here, by means of examples of MPSs of the vascular system, intestine, brain and heart, we advocate for the development of standards that allow for comparisons of quantitative physiological features in MPSs and humans. Such standards should ensure that the in vivo relevance and predictive value of MPSs can be properly assessed as fit-for-purpose in specific applications, such as the assessment of drug toxicity, the identification of therapeutics or the understanding of human physiology or disease. Specifically, we distinguish designed features, which can be controlled via the design of the MPS, from emergent features, which describe cellular function, and propose methods for improving MPSs with readouts and sensors for the quantitative monitoring of complex physiology towards enabling wider end-user adoption and regulatory acceptance.

摘要

微生理系统 (MPS) 是一种在体外复制器官和组织功能的细胞模型。与传统的细胞培养相比,MPS 通常向细胞提供生理机械线索,包括流体流动,并可以相互连接(因此,它们通常被称为微流控组织芯片或器官芯片)。在这里,我们通过血管系统、肠道、大脑和心脏的 MPS 示例,倡导制定标准,允许在 MPS 和人类中比较定量生理特征。这些标准应确保 MPS 的体内相关性和预测价值能够在特定应用中得到适当评估,例如药物毒性评估、治疗方法的确定或对人类生理学或疾病的理解。具体来说,我们区分设计特征,这些特征可以通过 MPS 的设计来控制,以及描述细胞功能的突发特征,并提出方法来改进 MPS,通过用于定量监测复杂生理学的读数和传感器,实现更广泛的最终用户采用和监管部门的认可。

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Cell Rep. 2024 Jul 23;43(7):114247. doi: 10.1016/j.celrep.2024.114247. Epub 2024 Jun 21.
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A patterned human neural tube model using microfluidic gradients.使用微流控梯度的模式化人类神经管模型。
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Single-cell RNA sequencing unveils unique transcriptomic signatures of endothelial cells and role of ENO1 in response to disturbed flow.
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