Graduate Program in Translational Biology, Medicine and Health, Virginia Tech, Blacksburg, VA, USA.
School of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, VA, USA.
Ann Biomed Eng. 2022 Oct;50(10):1187-1202. doi: 10.1007/s10439-022-03012-0. Epub 2022 Aug 22.
Traumatic brain injury (TBI) is a world-wide health challenge that lacks tools for diagnosis and treatment. There is a need for translational preclinical models to effectively design clinical tools, however, the diversity of models is a barrier to reproducible studies. Actuator-driven closed head impact (AD-CHI) models have translational advantages in replicating the pathophysiological and behavioral outcomes resulting from impact TBI. The main advantages of AD-CHI protocols include versatility of impact parameters such as impact angle, velocity, depth, and dwell time with the ability to interchange tip types, leading to consistent outcomes without the need for craniectomy. Sources of experimental variability within AD-CHI rat models are identified within this review with the aim of supporting further characterization to improve translational value. Primary areas of variability may be attributed to lack of standardization of head stabilization methods, reporting of tip properties, and performance of acute neurological assessments. AD-CHI models were also found to be more prevalently used among pediatric and repeated TBI paradigms. As this model continues to grow in use, establishing the relationships between impact parameters and associated injury outcomes will reduce experimental variability between research groups and encourage meaningful discussions as the community moves towards common data elements.
创伤性脑损伤 (TBI) 是一个全球性的健康挑战,缺乏诊断和治疗工具。需要转化的临床前模型来有效地设计临床工具,然而,模型的多样性是重复性研究的障碍。驱动器驱动的闭合性颅脑损伤 (AD-CHI) 模型在复制因冲击性 TBI 而导致的病理生理和行为结果方面具有转化优势。AD-CHI 方案的主要优点包括能够互换尖端类型,从而实现各种冲击参数(如冲击角度、速度、深度和停留时间)的通用性,从而在无需开颅术的情况下实现一致的结果。本综述确定了 AD-CHI 大鼠模型中实验变异性的来源,旨在支持进一步的特征描述以提高转化价值。主要的变异性可能归因于头部稳定方法缺乏标准化、尖端特性报告以及急性神经评估的执行。AD-CHI 模型也更多地用于儿科和重复 TBI 范式。随着该模型的使用不断增加,在研究小组之间减少实验变异性,并鼓励在社区朝着共同数据元素发展的过程中进行有意义的讨论,将有助于建立冲击参数与相关损伤结果之间的关系。