Journal of Sport and Health Science (May 2023)

Refinement of saliva microRNA biomarkers for sports-related concussion

  • Steven D. Hicks,
  • Cayce Onks,
  • Raymond Y. Kim,
  • Kevin J. Zhen,
  • Jayson Loeffert,
  • Andrea C. Loeffert,
  • Robert P. Olympia,
  • Gregory Fedorchak,
  • Samantha DeVita,
  • Zofia Gagnon,
  • Callan McLoughlin,
  • Miguel M. Madeira,
  • Scott L. Zuckerman,
  • Timothy Lee,
  • Matthew Heller,
  • Chuck Monteith,
  • Thomas R. Campbell,
  • Christopher Neville,
  • Elise Fengler,
  • Michael N. Dretsch

Journal volume & issue
Vol. 12, no. 3
pp. 369 – 378

Abstract

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Background: Recognizing sport-related concussion (SRC) is challenging and relies heavily on subjective symptom reports. An objective, biological marker could improve recognition and understanding of SRC. There is emerging evidence that salivary micro-ribonucleic acids (miRNAs) may serve as biomarkers of concussion; however, it remains unclear whether concussion-related miRNAs are impacted by exercise. We sought to determine whether 40 miRNAs previously implicated in concussion pathophysiology were affected by participation in a variety of contact and non-contact sports. Our goal was to refine a miRNA-based tool capable of identifying athletes with SRC without the confounding effects of exercise. Methods: This case-control study harmonized data from concussed and non-concussed athletes recruited across 10 sites. Levels of salivary miRNAs within 455 samples from 314 individuals were measured with RNA sequencing. Within-subjects testing was used to identify and exclude miRNAs that changed with either (a) a single episode of exercise (166 samples from 83 individuals) or (b) season-long participation in contact sports (212 samples from 106 individuals). The miRNAs that were not impacted by exercise were interrogated for SRC diagnostic utility using logistic regression (172 samples from 75 concussed and 97 non-concussed individuals). Results: Two miRNAs (miR-532-5p and miR-182-5p) decreased (adjusted p 0.50; adjusted p 0.70) to identify concussion. A single ratio (miR-27a-5p/miR-30a-3p) displayed the highest accuracy (AUC = 0.810, sensitivity = 82.4%, specificity = 73.3%) for differentiating concussed and non-concussed participants. Accuracy did not differ between participants with SRC and non-SRC (z = 0.5, p = 0.60). Conclusion: Salivary miRNA levels may accurately identify SRC when not confounded by exercise. Refinement of this approach in a large cohort of athletes could eventually lead to a non-invasive, sideline adjunct for SRC assessment.

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