Posti Jussi P, Dickens Alex M, Orešič Matej, Hyötyläinen Tuulia, Tenovuo Olli
Division of Clinical Neurosciences, Department of Neurosurgery, Turku University Hospital, Turku, Finland.
Division of Clinical Neurosciences, Department of Rehabilitation and Brain Trauma, Turku University Hospital, Turku, Finland.
Front Neurol. 2017 Aug 18;8:398. doi: 10.3389/fneur.2017.00398. eCollection 2017.
Traumatic brain injury (TBI) is a complex disease with a multifaceted pathophysiology. Impairment of energy metabolism is a key component of secondary insults. This phenomenon is a consequence of multiple potential mechanisms including diffusion hypoxia, mitochondrial failure, and increased energy needs due to systemic trauma responses, seizures, or spreading depolarization. The degree of disturbance in brain metabolism is affected by treatment interventions and reflected in clinical patient outcome. Hence, monitoring of these secondary events in peripheral blood will provide a window into the pathophysiological course of severe TBI. New methods for assessing perturbation of brain metabolism are needed in order to monitor on-going pathophysiological processes and thus facilitate targeted interventions and predict outcome. Circulating metabolites in peripheral blood may serve as sensitive markers of pathological processes in TBI. The levels of these small molecules in blood are less dependent on the integrity of the blood-brain barrier as compared to protein biomarkers. We have recently characterized a specific metabolic profile in serum that is associated with both initial severity and patient outcome of TBI. We found that two medium-chain fatty acids, octanoic and decanoic acids, as well as several sugar derivatives are significantly associated with the severity of TBI. The top ranking peripheral blood metabolites were also highly correlated with their levels in cerebral microdialyzates. Based on the metabolite profile upon admission, we have been able to develop a model that accurately predicts patient outcome. Moreover, metabolomics profiling improved the performance of the well-established clinical prognostication model. In this review, we discuss metabolomics profiling in patients with severe TBI. We present arguments in support of the need for further development and validation of circulating biomarkers of cerebral metabolism and for their use in assessing patients with severe TBI.
创伤性脑损伤(TBI)是一种具有多方面病理生理学特征的复杂疾病。能量代谢受损是继发性损伤的关键组成部分。这种现象是多种潜在机制的结果,包括弥散性缺氧、线粒体功能衰竭以及由于全身创伤反应、癫痫发作或扩散性去极化导致的能量需求增加。脑代谢的紊乱程度受治疗干预的影响,并反映在患者的临床结局中。因此,监测外周血中的这些继发性事件将为严重TBI的病理生理过程提供一个窗口。需要新的方法来评估脑代谢的扰动,以便监测正在进行的病理生理过程,从而促进有针对性的干预并预测结局。外周血中的循环代谢物可能作为TBI病理过程的敏感标志物。与蛋白质生物标志物相比,血液中这些小分子的水平对血脑屏障完整性的依赖性较小。我们最近在血清中鉴定出一种特定的代谢谱,它与TBI的初始严重程度和患者结局均相关。我们发现两种中链脂肪酸,辛酸和癸酸,以及几种糖衍生物与TBI的严重程度显著相关。排名靠前的外周血代谢物与其在脑微透析液中的水平也高度相关。基于入院时的代谢物谱,我们能够开发出一种准确预测患者结局的模型。此外,代谢组学分析提高了成熟的临床预后模型的性能。在本综述中,我们讨论了严重TBI患者的代谢组学分析。我们提出论据支持进一步开发和验证脑代谢循环生物标志物的必要性,以及它们在评估严重TBI患者中的应用。