Literature DB >> 35615873

Effect of Player Position on Serum Biomarkers during Participation in a Season of Collegiate Football.

Linda Papa1,2, Alexa E Walter3, James R Wilkes4, Hunter S Clonts1, Brian Johnson5, Semyon M Slobounov4.   

Abstract

This prospective cohort study examined the relationship between a panel of four serum proteomic biomarkers (glial fibrillary acidic protein [GFAP], ubiquitin C-terminal hydrolase-L1 [UCH-L1], total Tau, and neurofilament light chain polypeptide [NF-L]) in 52 players from two different cohorts of male collegiate student football athletes from two different competitive seasons of Division I National Collegiate Athletic Association Football Bowl Subdivision. This study evaluated changes in biomarker concentrations (as indicators of brain injury) over the course of the playing season (pre- and post-season) and also assessed biomarker concentrations by player position using two different published classification systems. Player positions were divided into: 1) speed (quarterbacks, running backs, halfbacks, fullbacks, wide receivers, tight ends, defensive backs, safety, and linebackers) versus non-speed (offensive and defensive linemen), and 2) "Profile 1" (low frequency/high strain magnitudes positions including quarterbacks, wide receivers, and defensive backs), "Profile 2" (mid-range impact frequency and strain positions including linebackers, running backs, and tight ends), and "Profile 3" (high frequency/low strains positions including defensive and offensive linemen). There were significant increases in GFAP 39.3 to 45.6 pg/mL and NF-L 3.5 to 5.4 pg/mL over the course of the season (p < 0.001) despite only five players being diagnosed with concussion. UCH-L1 decreased significantly, and Tau was not significantly different. In both the pre- and post-season blood samples Tau and NF-L concentrations were significantly higher in speed versus non-speed positions. Concentrations of GFAP, Tau, and NF-L increased incrementally from "Profile 3," to "Profile 2" to "Profile 1" in the post-season. UCH-L1 did not. GFAP increased (by Profiles 3, 2, 1) from 42.4 to 49.6 to 78.2, respectively (p = 0.051). Tau increased from 0.37 to 0.61 to 0.67, respectively (p = 0.024). NF-L increased from 3.5 to 4.9 to 8.2, respectively (p < 0.001). Although GFAP and Tau showed similar patterns of elevations by profile in the pre-season samples they were not statistically significant. Only NF-L showed significant differences between profiles 2.7 to 3.1 to 4.2 in the pre-season (p = 0.042). GFAP, Tau, and NF-L concentrations were significantly associated with different playing positions with the highest concentrations in speed and "Profile 1" positions and the lowest concentrations were in non-speed and "Profile 3" positions. Blood-based biomarkers (GFAP, Tau, NF-L) provide an additional layer of injury quantification that could contribute to a better understanding of the risks of playing different positions.

Entities:  

Keywords:  GFAP; Tau; UCH-L1; athletes; biomarkers; concussion; football; mild traumatic brain injury; neurofilament; proteomics; sports; subconcussion

Mesh:

Substances:

Year:  2022        PMID: 35615873      PMCID: PMC9529311          DOI: 10.1089/neu.2022.0083

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   4.869


  30 in total

Review 1.  Chronic traumatic encephalopathy: a potential late effect of sport-related concussive and subconcussive head trauma.

Authors:  Brandon E Gavett; Robert A Stern; Ann C McKee
Journal:  Clin Sports Med       Date:  2011-01       Impact factor: 2.182

2.  Serum Tau Fragments Predict Return to Play in Concussed Professional Ice Hockey Players.

Authors:  Pashtun Shahim; Thomas Linemann; Dilek Inekci; Morten Asser Karsdal; Kaj Blennow; Yelverton Tegner; Henrik Zetterberg; Kim Henriksen
Journal:  J Neurotrauma       Date:  2016-05-02       Impact factor: 5.269

3.  NFL blood levels are moderated by subconcussive impacts in a cohort of college football players.

Authors:  Leah H Rubin; Ryan Tierney; Keisuke Kawata; Leroy Wesley; Jong Hyun Lee; Kaj Blennow; Henrik Zetterberg; Dianne Langford
Journal:  Brain Inj       Date:  2019-01-11       Impact factor: 2.311

Review 4.  Biological markers in CSF and blood for axonal degeneration in multiple sclerosis.

Authors:  Charlotte E Teunissen; Christine Dijkstra; Chris Polman
Journal:  Lancet Neurol       Date:  2005-01       Impact factor: 44.182

5.  Neurodegenerative causes of death among retired National Football League players.

Authors:  Everett J Lehman; Misty J Hein; Sherry L Baron; Christine M Gersic
Journal:  Neurology       Date:  2012-09-05       Impact factor: 9.910

6.  The effect of repetitive subconcussive collisions on brain integrity in collegiate football players over a single football season: A multi-modal neuroimaging study.

Authors:  Semyon M Slobounov; Alexa Walter; Hans C Breiter; David C Zhu; Xiaoxiao Bai; Tim Bream; Peter Seidenberg; Xianglun Mao; Brian Johnson; Thomas M Talavage
Journal:  Neuroimage Clin       Date:  2017-03-21       Impact factor: 4.881

7.  A novel repetitive head impact exposure measurement tool differentiates player position in National Football League.

Authors:  Clara Karton; T Blaine Hoshizaki; Michael D Gilchrist
Journal:  Sci Rep       Date:  2020-01-28       Impact factor: 4.379

8.  Prolonged elevation of serum neurofilament light after concussion in male Australian football players.

Authors:  Stuart J McDonald; William T O'Brien; Georgia F Symons; Zhibin Chen; Jesse Bain; Brendan P Major; Daniel Costello; Glenn Yamakawa; Mujun Sun; Rhys D Brady; Biswadev Mitra; Richelle Mychasiuk; Terence J O'Brien; Sandy R Shultz
Journal:  Biomark Res       Date:  2021-01-10

Review 9.  Epidemiology of neurodegeneration in American-style professional football players.

Authors:  Everett J Lehman
Journal:  Alzheimers Res Ther       Date:  2013-07-22       Impact factor: 6.982

10.  Assessment of Blood Biomarker Profile After Acute Concussion During Combative Training Among US Military Cadets: A Prospective Study From the NCAA and US Department of Defense CARE Consortium.

Authors:  Christopher C Giza; Michael McCrea; Daniel Huber; Kenneth L Cameron; Megan N Houston; Jonathan C Jackson; Gerald McGinty; Paul Pasquina; Steven P Broglio; Alison Brooks; John DiFiori; Stefan Duma; Jaroslaw Harezlak; Joshua Goldman; Kevin Guskiewicz; Thomas W McAllister; David McArthur; Timothy B Meier; Jason P Mihalik; Lindsay D Nelson; Steven Rowson; Jessica Gill; Tatiana Foroud; Barry Katz; Andrew Saykin; Darren E Campbell; Steven Svoboda
Journal:  JAMA Netw Open       Date:  2021-02-01
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