Monza Laura, Fumagalli Giulia, Chiorazzi Alessia, Alberti Paola
School of Medicine and Surgery, University of Milano-Bicocca, 20900 Monza, Italy.
NeuroMI (Milan Center for Neuroscience), 20126 Milan, Italy.
Brain Sci. 2021 Jan 22;11(2):139. doi: 10.3390/brainsci11020139.
Peripheral neuropathies (PNs) are a type of common disease that hampers the quality of life of affected people. Treatment, in most cases, is just symptomatic and often ineffective. To improve drug discovery in this field, preclinical evidence is warranted. In vivo rodent models allow a multiparametric approach to test new therapeutic strategies, since they can allow pathogenetic and morphological studies different from the clinical setting. However, human readouts are warranted to promptly translate data from the bench to the bedside. A feasible solution would be neurophysiology, performed similarly at both sides. We describe a simple protocol that reproduces the standard clinical protocol of a neurophysiology hospital department. We devised the optimal montage for sensory and motor recordings (neurography) in mice, and we also implemented F wave testing and a short electromyography (EMG) protocol at rest. We challenged this algorithm by comparing control animals (BALB/c mice) with a model of mild neuropathy to grasp even subtle changes. The neurophysiological results were confirmed with neuropathology. The treatment group showed all expected alterations. Moreover, the neurophysiology matched the neuropathological analyses. Therefore, our protocol can be suggested to promptly translate data from the bench to the bedside and vice versa.
周围神经病变(PNs)是一种常见疾病,会影响患者的生活质量。在大多数情况下,治疗仅为对症治疗,且往往效果不佳。为了改进该领域的药物研发,临床前证据是必要的。体内啮齿动物模型允许采用多参数方法来测试新的治疗策略,因为它们能够进行与临床环境不同的发病机制和形态学研究。然而,需要人体读数以便迅速将实验室数据转化为临床应用。一个可行的解决方案是神经生理学,在两边以相似的方式进行。我们描述了一个简单的方案,该方案重现了神经生理学医院科室的标准临床方案。我们设计了小鼠感觉和运动记录(神经电图)的最佳导联方式,并且还实施了F波测试和静息时的短程肌电图(EMG)方案。我们通过将对照动物(BALB/c小鼠)与轻度神经病变模型进行比较来验证该算法,以捕捉即使是细微的变化。神经生理学结果通过神经病理学得到了证实。治疗组显示出所有预期的改变。此外,神经生理学与神经病理学分析结果相符。因此,可以推荐我们的方案以便迅速将实验室数据转化为临床应用,反之亦然。