Systems biomarkers as acute diagnostics and chronic monitoring tools for traumatic brain injury

被引:13
作者
Wang, Kevin K. W. [1 ]
Moghieb, Ahmed [1 ]
Yang, Zhihui [1 ]
Zhang, Zhiqun [1 ]
机构
[1] Univ Florida, McKnight Brain Inst, Dept Psychiat, Ctr Neuroprote & Biomarkers Res, Gainesville, FL 32611 USA
来源
SENSING TECHNOLOGIES FOR GLOBAL HEALTH, MILITARY MEDICINE, AND ENVIRONMENTAL MONITORING III | 2013年 / 8723卷
关键词
Traumatic brain injury; diagnostic; biomarkers; cell injury; detection technology; NEURON-SPECIFIC ENOLASE; FIBRILLARY ACIDIC PROTEIN; ALPHA-II-SPECTRIN; REPETITIVE HEAD TRAUMA; C-TERMINAL HYDROLASE; CEREBROSPINAL-FLUID; BREAKDOWN PRODUCTS; MULTIPLE-SCLEROSIS; ANTIPITUITARY ANTIBODIES; PREMOTOR BIOMARKERS;
D O I
10.1117/12.2020030
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
Traumatic brain injury (TBI) is a significant biomedical problem among military personnel and civilians. There exists an urgent need to develop and refine biological measures of acute brain injury and chronic recovery after brain injury. Such measures "biomarkers" can assist clinicians in helping to define and refine the recovery process and developing treatment paradigms for the acutely injured to reduce secondary injury processes. Recent biomarker studies in the acute phase of TBI have highlighted the importance and feasibilities of identifying clinically useful biomarkers. However, much less is known about the subacute and chronic phases of TBI. We propose here that for a complex biological problem such as TBI, multiple biomarker types might be needed to harness the wide range of pathological and systemic perturbations following injuries, including acute neuronal death, neuroinflammation, neurodegeneration and neuroregeneration to systemic responses. In terms of biomarker types, they range from brain-specific proteins, microRNA, genetic polymorphism, inflammatory cytokines and autoimmune markers and neuro-endocrine hormones. Furthermore, systems biology-driven biomarkers integration can help present a holistic approach to understanding scenarios and complexity pathways involved in brain injury.
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页数:15
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