Ottens Andrew K, Stafflinger Jillian E, Griffin Hailey E, Kunz Richard D, Cifu David X, Niemeier Janet P
1 Department of Anatomy and Neurobiology, Virginia Commonwealth University School of Medicine , Richmond, Virginia.
J Neurotrauma. 2014 Apr 15;31(8):782-8. doi: 10.1089/neu.2013.3116. Epub 2014 Mar 6.
Heterogeneity within brain injury presents a challenge to the development of informative molecular diagnostics. Recent studies show progress, particularly in cerebrospinal fluid, with biomarker assays targeting one or a few structural proteins. Protein-based assays in peripheral fluids, however, have been more challenging to develop, in part because of restricted and intermittent barrier access. Further, a greater number of molecular variables may be required to inform on patient status given the multi-factorial nature of brain injury. Presented is an alternative approach profiling peripheral fluid for a class of small metabolic by-products rendered by ongoing brain pathobiology. Urine specimens were collected for head trauma subjects upon admission to acute brain injury rehabilitation and non-traumatized matched controls. An innovative data-independent mass spectrometry approach was employed for reproducible molecular quantification across osmolarity-normalized samples. The postacute human traumatic brain injury urinary signature encompassed 2476 discriminant variables reproducibly measured in specimens for subject classification. Multiple subprofiles were then discerned in correlation with injury severity per the Glasgow Comma Scale and behavioral and neurocognitive function per the Patient Competency Rating Scale and Frontal Systems Behavioral Scale. Identified peptide constituents were enriched for outgrowth and guidance, extracellular matrix, and post-synaptic density proteins, which were reflective of ongoing post-acute neuroplastic processes demonstrating pathobiological relevance. Taken together, these findings support further development of diagnostics based on brain injury urinary signatures using either combinatorial quantitative models or pattern-recognition methods. Particularly, these findings espouse assay development to address unmet diagnostic and theragnostic needs in brain injury rehabilitative medicine.
脑损伤的异质性对信息丰富的分子诊断方法的开发构成了挑战。最近的研究取得了进展,特别是在脑脊液方面,针对一种或几种结构蛋白的生物标志物检测取得了成果。然而,在外周血中开发基于蛋白质的检测方法更具挑战性,部分原因是血脑屏障的限制和间歇性可及性。此外,鉴于脑损伤的多因素性质,可能需要更多的分子变量来了解患者的状况。本文提出了一种替代方法,对外周血中的一类由持续的脑病理生物学产生的小代谢副产物进行分析。在急性脑损伤康复入院时,收集了头部创伤患者的尿液样本,并与未受创伤的匹配对照组进行比较。采用了一种创新的数据非依赖型质谱方法,对渗透压标准化的样本进行可重复的分子定量分析。急性创伤性脑损伤后的尿液特征包含2476个可在样本中重复测量的判别变量,用于受试者分类。然后根据格拉斯哥昏迷量表确定了与损伤严重程度相关的多个子特征,以及根据患者能力评定量表和额叶系统行为量表确定的行为和神经认知功能相关的子特征。鉴定出的肽成分富含与生长和导向、细胞外基质以及突触后密度蛋白相关的成分,这些成分反映了正在进行的急性神经可塑性过程,显示出病理生物学相关性。综上所述,这些发现支持使用组合定量模型或模式识别方法,进一步开发基于脑损伤尿液特征的诊断方法。特别是,这些发现支持开展检测方法的研发,以满足脑损伤康复医学中未得到满足的诊断和治疗需求。