首页> 外文期刊>Revista Dor >Experimental models for the study of neuropathic pain
【24h】

Experimental models for the study of neuropathic pain

机译:研究神经性疼痛的实验模型

获取原文
获取外文期刊封面目录资料

摘要

BACKGROUND AND OBJECTIVES: Ideal models should reproduce just sensory deficits, such as alodynia, hyperalgesia and spontaneous pain for short periods. There are different types of animal models to evaluate different neuropathic pain etiologies and manifestations. Some models study neuropathic pain peripheral mechanisms and other study its central mechanisms. This review focuses on animal models most commonly used for neuropathic pain research. CONTENTS: Animal models based on peripheral nerves ligation which are more commonly used are described. From all models described in this review, spared nerve injury is that producing more reproducible behavioral abnormalities for a longer period, while chronic sciatic nerve compression produces behavioral signs of less predictable painful neuropathies. Spinal hemisection and cytokines-induced spinal injury are the models of choice for the study of central pain mechanisms. Other specific models are used for the study of the specific etiology of pain. CONCLUSION: Since neuropathic pain is multifactorial, different neuropathic pain animal models were developed throughout the years, which have been critical for the study of neuropathic pain, since much of current knowledge comes from studies with rats and mice. Current animal models need to be further refined and more efforts should be made to determine which animal models may be more predictive, with less biases and more complex and objective analysis parameters.
机译:背景和目的:理想模型应仅在短时间内再现感觉缺陷,如痛觉异常,痛觉过敏和自发性疼痛。有不同类型的动物模型可以评估不同的神经性疼痛病因和表现。一些模型研究神经性疼痛的外周机制,另一些模型研究其中枢机制。这篇综述着重于最常用于神经性疼痛研究的动物模型。目录:描述了更常用的基于周围神经结扎的动物模型。从这篇综述中描述的所有模型中,幸免的神经损伤是在更长的时间内产生更多可再现的行为异常,而慢性坐骨神经压迫则产生了较少可预测的疼痛性神经病的行为迹象。脊柱半切和细胞因子引起的脊柱损伤是研究中枢性疼痛机制的选择模型。其他特定模型用于研究疼痛的特定病因。结论:由于神经性疼痛是多因素的,因此多年来开发了不同的神经性疼痛动物模型,这对神经性疼痛的研究至关重要,因为目前的许多知识都来自对大鼠和小鼠的研究。当前的动物模型需要进一步完善,应该做出更多的努力来确定哪种动物模型更具预测性,偏差更少,分析参数更加复杂和客观。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号