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高速腹侧平面摄像术识别小鼠中铜离子螯合剂诱导脱髓鞘的特定步态模式变化。

High-Speed-Ventral-Plane Videography Identifies Specific Gait Pattern Changes in Cuprizone-Induced Demyelination in Mice.

作者信息

Giesler Paula, Kipp Markus, Hawlitschka Alexander

机构信息

Institute of Anatomy, Rostock University Medical Center, Gertrudenstraße 9, 18057 Rostock, Germany.

出版信息

Cells. 2025 Jun 24;14(13):969. doi: 10.3390/cells14130969.

Abstract

Gait disturbances are among the most prominent motor symptoms in multiple sclerosis (MS), yet their functional characterization in preclinical models remains limited. In this study, we used high-speed ventral plane videography (DigiGait™) to analyze locomotor behavior during 5 weeks of cuprizone-induced demyelination in 10 male C57BL/6 mice. Gait analysis revealed significant alterations in stride time (left front paw from 0.303 ± 0.01 s to 0.257 ± 0.007 s; = 0.003), paw angle (right fore paw from -13.78 ± 0.928° to 5.456 ± 2.146°; = 0.003), and midline distance (right hind paw from 1.889 ± 0.099 cm to 1.216 ± 0.096 cm; = 0.013), particularly in the hind limbs. These behavioral impairments correlated with histopathological findings of reduced myelination and elevated microglial activation in motor-relevant brain regions, including the corpus callosum, caudate-putamen, and motor cortex. Notably, specific gait parameters showed strong correlations with the degree of demyelination, supporting their relevance as functional biomarkers. Our data demonstrate that high-resolution gait analysis provides a sensitive, non-invasive tool to monitor functional deficits in demyelinating models and may aid in evaluating therapeutic efficacy in future studies.

摘要

步态障碍是多发性硬化症(MS)最突出的运动症状之一,但在临床前模型中对其功能特征的描述仍然有限。在本研究中,我们使用高速腹侧平面摄像(DigiGait™)分析了10只雄性C57BL/6小鼠在5周的铜螯合剂诱导脱髓鞘过程中的运动行为。步态分析显示步幅时间(左前爪从0.303±0.01秒至0.257±0.007秒;P = 0.003)、爪角(右前爪从-13.78±0.928°至5.456±2.146°;P = 0.003)和中线距离(右后爪从1.889±0.099厘米至1.216±0.096厘米;P = 0.013)有显著改变,特别是在后肢。这些行为障碍与运动相关脑区(包括胼胝体、尾状核-壳核和运动皮层)髓鞘减少和小胶质细胞活化增加的组织病理学结果相关。值得注意的是,特定的步态参数与脱髓鞘程度显示出强相关性,支持它们作为功能生物标志物的相关性。我们的数据表明,高分辨率步态分析提供了一种敏感、非侵入性的工具来监测脱髓鞘模型中的功能缺陷,并可能有助于在未来研究中评估治疗效果。

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