Literature DB >> 28181857

Subconcussive Impact-Dependent Increase in Plasma S100β Levels in Collegiate Football Players.

Keisuke Kawata1,2, Leah H Rubin3, Masahiro Takahagi4, Jong Hyun Lee1, Thomas Sim5, Victor Szwanki4, Al Bellamy4, Ryan Tierney5, Dianne Langford1.   

Abstract

The current study investigates whether repetitive subconcussive impacts cause changes in plasma S100β levels, and also tests the associations between S100β changes and frequency/magnitude of impacts sustained. This prospective study of 22 Division-I collegiate football players included baseline and pre-season practices (one helmet-only and four full-gear). Blood samples were obtained and assessed for S100β levels at baseline and pre- to post-practices; symptom scores were assessed at each time-point. An accelerometer-embedded mouthguard was employed to measure the number of impacts (hits), peak linear acceleration (PLA), and peak rotational acceleration (PRA). Because we observed a distinct gap in impact exposure (hits, PLA, and PRA), players were clustered into lower (n = 7) or higher (n = 15) impact groups based on the sum of impact kinematics from all five practices. S100β levels significantly changed across the study duration. Although S100β levels remained stable from baseline to all pre-practice values, statistically significant acute increases in S100β levels were observed in all post-practice measures compared with the respective pre-practice values (range: 133-246% in the overall sample). Greater number of hits, sum of PLA, and sum of PRA were significantly associated with greater acute increases in S100β levels. There were significant differences in head impact kinematics between lower and higher impact groups (hits, 6 vs. 43 [Mlower - Mhigher = 35, p < 0.001]; PLA, 99.4 vs. 1148.5 g [Mlower - Mhigher = 1049.1, p < 0.001]; PRA, 7589 vs. 68,259 rad/s2 [Mlower - Mhigher = 60,670, p < 0.001]). Players in the higher impact group showed consistently greater increases in plasma S100β levels, but not symptom scores, at each post-practice than the lower impact group. Collectively, these data suggest that although players continued to play without noticeable change in symptoms, a brain-enriched serological factor suggests an acute burden from head impacts. Assessing the effects of repetitive subconcussive head impacts on acute changes in S100β levels may be a clinically useful blood biomarker in tracking real-time acute brain damage in collegiate football players.

Entities:  

Keywords:  biomarker; concussion; head impact kinematics; subconcussive; traumatic brain injury

Mesh:

Substances:

Year:  2017        PMID: 28181857     DOI: 10.1089/neu.2016.4786

Source DB:  PubMed          Journal:  J Neurotrauma        ISSN: 0897-7151            Impact factor:   5.269


  14 in total

1.  Oculomotor Response to Cumulative Subconcussive Head Impacts in US High School Football Players: A Pilot Longitudinal Study.

Authors:  Steven W Zonner; Keisuke Ejima; Ciara C Fulgar; Carmen N Charleston; Megan E Huibregtse; Zachary W Bevilacqua; Keisuke Kawata
Journal:  JAMA Ophthalmol       Date:  2019-03-01       Impact factor: 7.389

2.  Effect of Routine Sport Participation on Short-Term Clinical Neurological Outcomes: A Comparison of Non-Contact, Contact, and Collision Sport Athletes.

Authors:  James T Eckner; Jingshen Wang; Lindsay D Nelson; Richard Bancroft; Melissa Pohorence; Xuming He; Steven P Broglio; Christopher C Giza; Kevin M Guskiewicz; Jeffrey S Kutcher; Michael McCrea
Journal:  Sports Med       Date:  2020-05       Impact factor: 11.136

3.  Head Impact Research Using Inertial Sensors in Sport: A Systematic Review of Methods, Demographics, and Factors Contributing to Exposure.

Authors:  Enora Le Flao; Gunter P Siegmund; Robert Borotkanics
Journal:  Sports Med       Date:  2021-10-22       Impact factor: 11.136

Review 4.  The accumulation of subconcussive impacts on cognitive, imaging, and biomarker outcomes in child and college-aged athletes: a systematic review.

Authors:  Alexa E Walter; James R Wilkes; Peter A Arnett; Sayers John Miller; Wayne Sebastianelli; Peter Seidenberg; Semyon M Slobounov
Journal:  Brain Imaging Behav       Date:  2021-07-26       Impact factor: 3.978

Review 5.  Fewer US Adolescents Playing Football and Public Health: A Review of Measures to Improve Safety and an Analysis of Gaps in the Literature.

Authors:  Jonathan T Macy; Kyle Kercher; Jesse A Steinfeldt; Keisuke Kawata
Journal:  Public Health Rep       Date:  2021-02-18       Impact factor: 3.117

6.  A Preliminary Report on Brain-Derived Extracellular Vesicle as Novel Blood Biomarkers for Sport-Related Concussions.

Authors:  Keisuke Kawata; Masato Mitsuhashi; Randy Aldret
Journal:  Front Neurol       Date:  2018-04-12       Impact factor: 4.003

7.  A Dose Relationship Between Brain Functional Connectivity and Cumulative Head Impact Exposure in Collegiate Water Polo Players.

Authors:  Derek C Monroe; Nicholas J Cecchi; Paul Gerges; Jenna Phreaner; James W Hicks; Steven L Small
Journal:  Front Neurol       Date:  2020-04-02       Impact factor: 4.003

8.  A Kinetic Model for Blood Biomarker Levels After Mild Traumatic Brain Injury.

Authors:  Sima Azizi; Daniel B Hier; Blaine Allen; Tayo Obafemi-Ajayi; Gayla R Olbricht; Matthew S Thimgan; Donald C Wunsch
Journal:  Front Neurol       Date:  2021-07-06       Impact factor: 4.003

9.  Peripheral Blood and Salivary Biomarkers of Blood-Brain Barrier Permeability and Neuronal Damage: Clinical and Applied Concepts.

Authors:  Damir Janigro; Damian M Bailey; Sylvain Lehmann; Jerome Badaut; Robin O'Flynn; Christophe Hirtz; Nicola Marchi
Journal:  Front Neurol       Date:  2021-02-04       Impact factor: 4.003

10.  A preliminary model of football-related neural stress that integrates metabolomics with transcriptomics and virtual reality.

Authors:  Nicole L Vike; Sumra Bari; Khrystyna Stetsiv; Alexa Walter; Sharlene Newman; Keisuke Kawata; Jeffrey J Bazarian; Zoran Martinovich; Eric A Nauman; Thomas M Talavage; Linda Papa; Semyon M Slobounov; Hans C Breiter
Journal:  iScience       Date:  2021-12-15
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