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High-throughput screening of stem cell therapy for globoid cell leukodystrophy using automated neurophenotyping of twitcher mice

机译:用自动化小鼠自动神经蛋白划分的球状细胞白育术治疗Healod细胞疗法的高通量筛选

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摘要

Globoid cell leukodystrophy (Krabbe’s disease) is an autosomal recessive neurodegenerative disorder that results from the deficiency of galactosylceramidase, a lysosomal enzyme involved in active myelination. Due to the progressive, lethal nature of this disease and the limited treatment options available, multiple laboratories are currently exploring novel therapies using the mouse model of globoid cell leukodystrophy. In order to establish a protocol for motor function assessment of the twitcher mouse, this study tested the capability of an automated system to detect phenotypic differences across mouse genotypes and/or treatment groups. The sensitivity of this system as a screening tool for the assessment of therapeutic interventions was determined by the administration of murine bone marrow-derived stem cells into twitcher mice via intraperitoneal injection. Animal behavior was analyzed using the Noldus EthoVision XT7 software. Novel biomarkers, including abnormal locomotion (e.g., velocity, moving duration, distance traveled, turn angle) and observed behaviors (e.g., rearing activity, number of defecation boli), were established for the twitcher mouse. These parameters were monitored across all mouse groups, and the automated system detected improved locomotion in the treated twitcher mice based on the correction of angular velocity, turn angle, moving duration, and exploratory behavior, such as thigmotaxis. Further supporting these findings, the treated mice showed improved lifespan, gait, wire hang ability, twitching severity and frequency, and sciatic nerve histopathology. Taken together, these data demonstrate the utility of computer-based neurophenotyping for motor function assessment of twitcher mice and support its utility for detecting the efficacy of stem cell-based therapy for neurodegenerative disorders.
机译:球状细胞白细胞营养不良(克拉布氏病)是一种常染色体隐性神经退行性疾病,是由半乳糖基神经酰胺酶(一种参与活性髓鞘化的溶酶体酶)缺乏引起的。由于该疾病的进行性,致死性和可用的治疗选择有限,因此多个实验室目前正在使用球状细胞白细胞营养不良的小鼠模型探索新的疗法。为了建立用于抽搐小鼠运动功能评估的协议,本研究测试了自动化系统检测跨小鼠基因型和/或治疗组的表型差异的能力。该系统作为评估治疗干预措施的筛选工具的敏感性是通过腹膜内注射将鼠骨髓来源的干细胞施用于抽搐小鼠来确定的。使用Noldus EthoVision XT7软件分析动物行为。建立了新的生物标记,包括异常运动(例如,速度,移动持续时间,行进的距离,转弯角度)和观察到的行为(例如,饲养活动,排便体的数量),这些生物标记均适用于抽搐小鼠。在所有小鼠组中监测这些参数,并且基于角速度,转弯角,移动持续时间和探索行为(例如,趋轴性)的校正,自动化系统检测到治疗的抽搐小鼠的运动改善。进一步支持这些发现的是,经治疗的小鼠显示出改善的寿命,步态,导线悬挂能力,抽搐的严重程度和频率以及坐骨神经组织病理学。综上所述,这些数据证明了基于计算机的神经表型在抽搐小鼠运动功能评估中的实用性,并支持其在检测基于干细胞的神经退行性疾病治疗中的功效。

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