METHODS: We performed a narrative review of peer-reviewed literature using online databases of Google Scholar and PubMed. We included articles published between 1988 and 2022.
RESULTS: We screened a total of 73 sources finding a total of 39 original research studies that met inclusion for this review. We found five studies that focused on GFAP, four studies that focused on UCH-L1, eight studies that focused on tau proteins, six studies that focused on NFL, and eight studies that focused on S100B. The remainder of the studies included more than one of the biomarkers of interest.
CONCLUSIONS: TBI occurs frequently in the military and civilian settings with limited methods to diagnose and prognosticate outcomes. We highlighted several promising biomarkers for these purposes including S100B, UCH-L1, NFL, GFAP, and tau proteins. S100B and UCH-L1 appear to have the strongest data to date, but further research is necessary. The robust data that explain the optimal timing and, more importantly, trending of these biomarker measurements are necessary before widespread application.
方法:我们使用GoogleScholar和PubMed的在线数据库对同行评审的文献进行了叙述性回顾。我们收录了1988年至2022年之间发表的文章。
结果:我们共筛选了73个来源,共发现39个原创性研究纳入本综述。我们发现了五项专注于GFAP的研究,四项研究专注于UCH-L1,八项研究专注于tau蛋白,六项专注于NFL的研究,和8项针对S100B的研究。其余的研究包括一种以上的感兴趣的生物标志物。
结论:TBI经常发生在军事和民用环境中,诊断和预测结果的方法有限。我们强调了用于这些目的的几种有前途的生物标志物,包括S100B,UCH-L1,NFL,GFAP,和tau蛋白。S100B和UCH-L1似乎拥有迄今为止最强的数据,但需要进一步的研究。解释最佳时机的稳健数据,更重要的是,在广泛应用之前,这些生物标志物测量的趋势是必要的。