Johns Hopkins School of Nursing and Medicine, Baltimore, MD 21205, USA; National Institutes of Health, Bethesda, MD 20892, USA.
National Institutes of Health, Bethesda, MD 20892, USA.
J Sport Health Sci. 2023 May;12(3):379-387. doi: 10.1016/j.jshs.2022.11.007. Epub 2022 Nov 18.
Current protein biomarkers are only moderately predictive at identifying individuals with mild traumatic brain injury or concussion. Therefore, more accurate diagnostic markers are needed for sport-related concussion.
This was a multicenter, prospective, case-control study of athletes who provided blood samples and were diagnosed with a concussion or were a matched non-concussed control within the National Collegiate Athletic Association-Department of Defense Concussion Assessment, Research, and Education Consortium conducted between 2015 and 2019. The blood was collected within 48 h of injury to identify protein abnormalities at the acute and subacute timepoints. Athletes with concussion were divided into 6 h post-injury (0-6 h post-injury) and after 6 h post-injury (7-48 h post-injury) groups. We applied a highly multiplexed proteomic technique that used a DNA aptamers assay to target 1305 proteins in plasma samples from athletes with and without sport-related concussion.
A total of 140 athletes with concussion (79.3% males; aged 18.71 ± 1.10 years, mean ± SD) and 21 non-concussed athletes (76.2% males; 19.14 ± 1.10 years) were included in this study. We identified 338 plasma proteins that significantly differed in abundance (319 upregulated and 19 downregulated) in concussed athletes compared to non-concussed athletes. The top 20 most differentially abundant proteins discriminated concussed athletes from non-concussed athletes with an area under the curve (AUC) of 0.954 (95% confidence interval: 0.922‒0.986). Specifically, after 6 h of injury, the individual AUC of plasma erythrocyte membrane protein band 4.1 (EPB41) and alpha-synuclein (SNCA) were 0.956 and 0.875, respectively. The combination of EPB41 and SNCA provided the best AUC (1.000), which suggests this combination of candidate plasma biomarkers is the best for diagnosing concussion in athletes after 6 h of injury.
Our data suggest that proteomic profiling may provide novel diagnostic protein markers and that a combination of EPB41 and SNCA is the most predictive biomarker of concussion after 6 h of injury.
目前的蛋白质生物标志物在识别轻度创伤性脑损伤或脑震荡患者方面的预测能力仅为中等。因此,需要更准确的诊断标志物来诊断与运动相关的脑震荡。
这是一项多中心、前瞻性病例对照研究,研究对象为 2015 年至 2019 年期间在美国大学体育协会-国防部脑震荡评估、研究和教育联合会中提供血液样本并被诊断为脑震荡或与之匹配的非脑震荡对照的运动员。血液采集在损伤后 48 小时内进行,以在急性和亚急性时间点识别蛋白质异常。脑震荡运动员分为损伤后 6 小时内(0-6 小时损伤后)和损伤后 6 小时后(7-48 小时损伤后)组。我们应用了一种高度多重蛋白质组学技术,该技术使用 DNA 适体测定法在有和没有运动相关脑震荡的运动员的血浆样本中靶向 1305 种蛋白质。
本研究共纳入 140 名脑震荡运动员(79.3%为男性;年龄 18.71±1.10 岁,均数±标准差)和 21 名非脑震荡运动员(76.2%为男性;19.14±1.10 岁)。我们发现 338 种血浆蛋白的丰度在脑震荡运动员中显著差异(319 种上调,19 种下调)。前 20 种最具差异的蛋白质可以区分脑震荡运动员和非脑震荡运动员,曲线下面积(AUC)为 0.954(95%置信区间:0.922-0.986)。具体来说,在损伤后 6 小时,血浆红细胞膜蛋白带 4.1(EPB41)和 alpha-突触核蛋白(SNCA)的个体 AUC 分别为 0.956 和 0.875。EPB41 和 SNCA 的组合提供了最佳的 AUC(1.000),这表明这两种候选血浆生物标志物的组合是诊断 6 小时后运动员脑震荡的最佳方法。
我们的数据表明,蛋白质组学分析可能提供新的诊断蛋白质标志物,并且 EPB41 和 SNCA 的组合是 6 小时后脑震荡的最具预测性生物标志物。