Bari Sumra, Vike Nicole L, Stetsiv Khrystyna, Walter Alexa, Newman Sharlene, Kawata Keisuke, Bazarian Jeffrey J, Papa Linda, Nauman Eric A, Talavage Thomas M, Slobounov Semyon, Breiter Hans C
Warren Wright Adolescent Center Department of Psychiatry and Behavioral Sciences, Feinberg School of Medicine, Northwestern University, Chicago, IL, USA.
Department of Kinesiology, Pennsylvania State University, University Park, PA, USA.
Neuroimage Rep. 2021 Jul 15;1(3):100032. doi: 10.1016/j.ynirp.2021.100032. eCollection 2021 Sep.
Contact sports affect measures at multiple scales such as transcriptomics, metabolomics, brain function, and behavior, but studies have not yet studied the statistical structure of how they are integrated. This preliminary study, examining collegiate American football players, integrated across-season changes (Δ) from transcriptomic and metabolomic variables (neuroinflammatory miRNAs and metabolites), neuroimaging (resting-state fMRI network ), and virtual reality (VR)-based motor control. These findings were then assessed against head acceleration events (HAE). Using permutation-based moderation analysis (all 0.05 , we observed that (1) Δtridecenedioate, a mono-unsaturated fatty acid, interacted with ΔmiR-505 to predict default mode network (DMN) , meaning the interaction between two molecular biology measures predicted a neuroimaging measure. Further, (2) Δtridecenedioate and DMN interacted to predict motor control, indicating the interaction of a molecular and a neuroimaging measure predicted behavior. ΔmiR-505 was positively related to HAE and DMN was negatively related to HAE and reduced relative to non-athlete subjects. These multi-scale, moderating relationships between a potential ROS scavenger, neuroinflammatory miRNA, reduced brain connectivity, and diminished motor control argue that seemingly healthy athletes with frequent HAE may experience chronic neuroinflammation. This framework using permutation-based mediation/moderation analysis has general applicability for human-animal translational studies.
接触性运动在多个层面上影响各项指标，如转录组学、代谢组学、脑功能和行为，但尚未有研究探讨这些层面如何整合的统计结构。这项初步研究以美国大学橄榄球运动员为研究对象，整合了转录组学和代谢组学变量（神经炎症性微小RNA和代谢物）、神经影像学（静息态功能磁共振成像网络）以及基于虚拟现实（VR）的运动控制的跨赛季变化（Δ）。然后将这些结果与头部加速度事件（HAE）进行评估。使用基于排列的调节分析（所有p < 0.05），我们观察到：（1）单不饱和脂肪酸十三碳二烯二酸（Δtridecenedioate）与ΔmiR - 505相互作用以预测默认模式网络（DMN），这意味着两种分子生物学指标之间的相互作用预测了一种神经影像学指标。此外，（2）Δtridecenedioate与DMN相互作用以预测运动控制，表明分子指标与神经影像学指标的相互作用预测了行为。ΔmiR - 505与HAE呈正相关，DMN与HAE呈负相关，且相对于非运动员受试者有所降低。潜在的活性氧清除剂、神经炎症性微小RNA、脑连接性降低和运动控制减弱之间的这些多层面调节关系表明，看似健康但频繁发生HAE的运动员可能存在慢性神经炎症。这种使用基于排列的中介/调节分析的框架在人类 - 动物转化研究中具有普遍适用性。
