疼痛的细胞模型:新技术及其临床前研究进展的潜力

Q2 Medicine
Lina Chrysostomidou, Andrew H. Cooper, Greg A. Weir
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引用次数: 7

摘要

体外模型在临床前疼痛研究中占据重要地位,允许对分子途径进行详细研究,并且在人源化系统的情况下,提供体内动物模型和人类患者之间的翻译桥梁。在过去的十年中,基础疼痛研究人员在细胞技术方面取得了重大进展,包括开发了将感觉神经元样细胞与干细胞区分开来的方案,以及更容易进入人体背根神经节组织。在这篇综述中,我们讨论了这两种模型在临床前疼痛研究中的应用:培养皿中的人类感觉神经元能告诉我们什么啮齿动物体内模型不能告诉我们的?这些模型与它们的内生模型有多相似?我们应该如何判断它们?我们需要考虑哪些限制?我们如何利用细胞模型来提高转译成功率?体外人类感觉神经元模型为疼痛研究人员提供了研究人类伤害感觉的宝贵工具。通过不断的发展,考虑到它们的优势和局限性,并与其他实验策略进行有效的整合,它们可以成为推动疼痛领域进步的动力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Cellular models of pain: New technologies and their potential to progress preclinical research

Cellular models of pain: New technologies and their potential to progress preclinical research

Cellular models of pain: New technologies and their potential to progress preclinical research

In vitro models fill a vital niche in preclinical pain research, allowing detailed study of molecular pathways, and in the case of humanised systems, providing a translational bridge between in vivo animal models and human patients. Significant advances in cellular technology available to basic pain researchers have occurred in the last decade, including developing protocols to differentiate sensory neuron-like cells from stem cells and greater access to human dorsal root ganglion tissue. In this review, we discuss the use of both models in preclinical pain research: What can a human sensory neuron in a dish tell us that rodent in vivo models cannot? How similar are these models to their endogenous counterparts, and how should we judge them? What limitations do we need to consider? How can we leverage cell models to improve translational success? In vitro human sensory neuron models equip pain researchers with a valuable tool to investigate human nociception. With continual development, consideration for their advantages and limitations, and effective integration with other experimental strategies, they could become a driving force for the pain field's advancement.

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来源期刊
Neurobiology of Pain
Neurobiology of Pain Medicine-Anesthesiology and Pain Medicine
CiteScore
4.40
自引率
0.00%
发文量
29
审稿时长
54 days
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