Metabolomics profiling of concussion in adolescent male hockey players: a novel diagnostic method
Metabolomics profiling of concussion in adolescent male hockey players: a novel diagnostic method
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DOI：
10.1007/s11306-016-1131-5
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发表时间：
2016-12-01
期刊：
影响因子：
3.6
通讯作者：
Fraser, Douglas D.
中科院分区：
文献类型：
--
作者：
Daley, Mark;Dekaban, Greg;Fraser, Douglas D.
脑震荡是一个主要的健康问题，因为它会引起严重的急性症状，在一些运动员中，会导致长期的神经功能障碍。脑震荡的诊断是很困难的，就像决定停止比赛一样。目的探讨血浆代谢组学分析在青少年冰球运动员脑震荡诊断中的应用价值。方法采集12例脑震荡运动员和17例非脑震荡运动员血浆，采用质子核磁共振和直接注射液相色谱串联质谱法检测174种代谢物。数据分析采用多元统计分析和机器学习。结果从脑震荡发生到首次门诊抽血的估计时间为2.3±0.7 d。使用主成分分析，显示了前10个成分，每个成分含有9种代谢物，占队列之间差异的82%，并且严重依赖于甘油磷脂的变化。使用留一方法对分类器进行交叉验证，结果显示诊断脑震荡的准确率为92% （P < 0.0001）。达到92%诊断准确率所需的代谢物数量从174个减少到17个。受者工作特征分析产生的曲线下面积为0.91，表明极好的脑震荡诊断潜力。结论代谢组学分析，结合多元统计分析和机器学习，确定脑震荡运动员的准确率为bbb90 %。代谢组学分析代表了一种新的脑震荡诊断方法，并且可能适用于即时检测。
Introduction Concussions are a major health concern as they cause significant acute symptoms and in some athletes, long-term neurologic dysfunction. Diagnosis of concussion can be difficult, as are the decisions to stop play.Objective To determine if concussions in adolescent male hockey players could be diagnosed using plasma metabolomics profiling.Methods Plasma was obtained from 12 concussed and 17 non-concussed athletes, and assayed for 174 metabolites with proton nuclear magnetic resonance and direct injection liquid chromatography tandem mass spectrometry. Data were analysed with multivariate statistical analysis and machine learning.Results The estimated time from concussion occurrence to blood draw at the first clinic visit was 2.3 +/- 0.7 days. Using principal component analysis, the leading 10 components, each containing 9 metabolites, were shown to account for 82 % of the variance between cohorts, and relied heavily on changes in glycerophospholipids. Cross-validation of the classifier using a leave-one out approach demonstrated a 92 % accuracy rate in diagnosing a concussion (P < 0.0001). The number of metabolites required to achieve the 92 % diagnostic accuracy was minimized from 174 to as few as 17 metabolites. Receiver operating characteristic analyses generated an area under the curve of 0.91, indicating excellent concussion diagnostic potential.Conclusion Metabolomics profiling, together with multivariate statistical analysis and machine learning, identified concussed athletes with >90 % certainty. Metabolomics profiling represents a novel diagnostic method for concussion, and may be amenable to point-of-care testing.