Kornguth Steven, Rutledge Neal
Department of Kinesiology and Health Education, The University of Texas at Austin, Austin, TX, USA.
Department of Neurology, Dell Medical School, The University of Texas at Austin.
Biomark Insights. 2018 Oct 29;13:1177271918808216. doi: 10.1177/1177271918808216. eCollection 2018.
To assemble an algorithm that will describe a "Signature" predictive of an individual's vulnerability to persistent traumatic brain injury (TBI).
Studies of athletes and warriors who are subjected to repeated head impacts with rapid acceleration/deceleration forces are used to assist in the diagnosis and management of TBI-affected individuals. Data from multiple areas, including clinical, anatomical, magnetic resonance imaging, cognitive function, and biochemical analyses, are integrated to provide a Signature of persistent TBI.
Studies to date indicate that susceptibility to TBI results from an interaction between host genetic and structural vulnerability factors and force and torque of impact on the head and torso. The host factors include molecular markers affecting immune and inflammatory responses to stress/insult as well as anatomical features such as the degree of transcortical fiber projections and vascular malformations. The host response to forceful impact includes the release of intracellular neural proteins and nucleic acids into the cerebrospinal fluid and vascular compartment as well as mobilization of cytokines and macrophages into the central nervous system with subsequent activation of microglia and inflammatory responses including autoimmune processes. Maximum impact to the base of the sulci via a "water hammer effect" is consistent with the localization of microvascular and inflammatory responses in the affected brain region.
An assessment of an individuals' predisposition to persistent TBI with delayed cognitive deficits and behavioral changes requires an understanding of host vulnerability (genetic factors and brain structure) and external stressors (force and torque of impact as well as repetitive head injury and time interval between impacts). An algorithm that has utility in predicting vulnerability to TBI will include qualitative and quantitative measures of the host factors weighted against post impact markers of neural injury. Implementation of the resulting "Signature" of vulnerability at early stages of injury will help inform athletes and warriors, along with commanders and management, of the risk/benefit approaches that will markedly diminish health care costs to the nation and suffering to this population. This report attempts to define a strategy to create such an algorithm.
构建一种算法,用以描述预测个体易患持续性创伤性脑损伤(TBI)的“特征”。
对遭受快速加速/减速力反复头部撞击的运动员和战士进行研究,以辅助TBI患者的诊断和管理。整合来自多个领域的数据,包括临床、解剖学、磁共振成像、认知功能和生化分析,以提供持续性TBI的特征。
迄今为止的研究表明,TBI易感性源于宿主遗传和结构易损因素与头部和躯干撞击力及扭矩之间的相互作用。宿主因素包括影响对应激/损伤免疫和炎症反应的分子标记,以及诸如跨皮质纤维投射程度和血管畸形等解剖特征。宿主对强力撞击的反应包括细胞内神经蛋白和核酸释放到脑脊液和血管腔中,以及细胞因子和巨噬细胞进入中枢神经系统并随后激活小胶质细胞和炎症反应,包括自身免疫过程。通过“水锤效应”对脑沟底部造成的最大撞击与受影响脑区微血管和炎症反应的定位一致。
评估个体易患伴有认知缺陷延迟和行为改变的持续性TBI的倾向,需要了解宿主易损性(遗传因素和脑结构)和外部应激源(撞击力和扭矩以及重复性头部损伤和撞击间隔时间)。一种有助于预测TBI易感性的算法将包括对宿主因素的定性和定量测量,并根据神经损伤的撞击后标记进行加权。在损伤早期实施由此产生的易损性“特征”,将有助于告知运动员和战士以及指挥官和管理人员风险/收益方法,这将显著降低国家的医疗保健成本和该人群的痛苦。本报告试图定义一种创建此类算法的策略。