小鼠瘙痒模型

IF 7 2区 医学 Q1 DERMATOLOGY Journal of Investigative Dermatology Pub Date : 2024-12-01 Epub Date: 2024-09-25 DOI:10.1016/j.jid.2024.08.018
Daniel Yassky , Brian S. Kim
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引用次数: 0

摘要

小鼠模型是研究痒的重要临床前和生物学工具。在本文中,我们将探讨这些模型如何通过急性和慢性痒模型加深我们对痒的机制的了解。我们提供了详细的实验方案,并推荐了特定模型的实验设置,以指导研究人员开展痒研究。我们区分了什么是真正的瘙痒原,什么是导致瘙痒原释放的刺激,什么是急性瘙痒模型,什么是慢性瘙痒模型,以及小鼠模型如何捕捉人类疾病中瘙痒的各个方面。最后,我们强调了小鼠瘙痒模型如何改变了我们对患者慢性瘙痒症的理解和治疗方法的开发。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Mouse Models of Itch
Murine models are vital preclinical and biological tools for studying itch. In this paper, we explore how these models have enhanced our understanding of the mechanisms underlying itch through both acute and chronic itch models. We provide detailed protocols and recommend experimental setups for specific models to guide researchers in conducting itch research. We distinguish between what constitutes a bona fide pruritogen versus a stimulus that causes pruritogen release, an acute itch model versus a chronic itch model, and how murine models can capture aspects of pruritus in human disease. Finally, we highlight how mouse models of itch have transformed our understanding and development of therapeutics for chronic pruritus in patients.
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来源期刊
CiteScore
8.70
自引率
4.60%
发文量
1610
审稿时长
2 months
期刊介绍: Journal of Investigative Dermatology (JID) publishes reports describing original research on all aspects of cutaneous biology and skin disease. Topics include biochemistry, biophysics, carcinogenesis, cell regulation, clinical research, development, embryology, epidemiology and other population-based research, extracellular matrix, genetics, immunology, melanocyte biology, microbiology, molecular and cell biology, pathology, percutaneous absorption, pharmacology, photobiology, physiology, skin structure, and wound healing
期刊最新文献
0046 Antagonizing interferon-gamma receptor-1 signaling with topical SAMiRNA in human scalp skin protects hair follicles from immune privilege collapse and keratinocyte apoptosis 0052 The role of neutrophils in psoriatic inflammation 0062 Establishment of dermatopathology image data base DermpathNet using artificialIntelligence empowered workflow 0063 Augmenting the diagnosis of cellulitis using image-based machine learning 0064 Comparing dermatologist and artificial intelligence heat maps in dermoscopic image analysis via eye tracking
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