A metabolomic measure of energy metabolism moderates how an inflammatory miRNA relates to rs-fMRI network and motor control in football athletes
Sumra Bari, Nicole L. Vike, Khrystyna Stetsiv, Linda Papa, Eric A., Nauman, Thomas M. Talavage, Semyon Slobounov, Hans C. Breiter

TL;DR
This study explores how a metabolomic marker of energy metabolism influences the relationship between an inflammatory miRNA, brain network changes, and motor control in football athletes exposed to head impacts, revealing potential chronic neuroinflammation.
Contribution
It introduces a novel integrative approach combining metabolomics, transcriptomics, fMRI, and VR measures to study subconcussive head impacts in athletes.
Findings
Energy metabolite tridecenedioate moderates miR-505 and DMN relationship.
DMN similarity decreases with cumulative head impacts.
miR-505 correlates with number of head impacts.
Abstract
Collision sports athletes experience many head acceleration events (HAEs) per season. The effects of these subconcussive events are largely understudied since HAEs may produce no overt symptoms, and are likely to diffusely manifest across multiple scales of study (e.g., molecular, cellular network, and behavior). This study integrated resting-state fMRI with metabolome, transcriptome and computational virtual reality (VR) behavior measures to assess the effects of exposure to HAEs on players in a collegiate American football team. Permutation-based mediation and moderation analysis was used to investigate relationships between network fingerprint, changes in omic measures and VR metrics over the season. Change in an energy cycle fatty acid, tridecenedioate, moderated the relationship between 1) miR-505 and DMN fingerprint and 2) the relationship between DMN fingerprint and worsening VR…
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Taxonomy
TopicsFunctional Brain Connectivity Studies · Traumatic Brain Injury Research · Advanced Neuroimaging Techniques and Applications
