![]() Understanding TBI biomarker changes by player position can be helpful in considering safety measures, game rule changes, on-field behavior, enhancements to equipment, return-to-play guidance, career decisions, and other factors.įuture evaluation of a larger sample of players over a longer period of time, could reveal more information and provide greater understanding about the long-term impact of traumatic brain injuries associated with player positions, said Dr. “Measuring TBI biomarkers in blood could potentially offer an objective and relatively simple way of quantifying and monitoring head impact exposures in different players,” said Dr. The study, which combines TBI biomarkers in blood with established player classifications systems (based on biomechanical measurements) across pre- and post-seasons, is among the first of its kind. “It may indicate that pre-season biomarker elevations in these players reflect head impact exposures from previous seasons.” “This was surprising because blood was collected before any practices or football activity,” said Linda Papa. “We found incremental increases in the biomarkers GFAP, Tau, and NF-L by player position from Profile 3 to Profile 2 to Profile 1, with highest biomarker levels in Profile 1 players and lowest biomarker levels in Profile 3 players.”Īn unexpected finding was that the biomarker elevation patterns in speed (and Profile 1) versus non-speed (and Profile 3) players were not only present at the end of the season but also before the season began. “It appears that head impact magnitude and not frequency causes the greatest elevations in TBI biomarkers,” said Dr. Profile 3 positions are those who are hit often, but the hits are of lower intensity (low strain magnitude/high frequency) and include defensive and offensive linemen. ![]() Profile 2 positions are mid-range impact frequency and strain positions including linebackers, running backs, and tight ends. These positions include quarterbacks, wide receivers, and defensive backs. Profile 1 positions are those who receive high intensity hits, but not often (termed high strain magnitudes/low frequency by the researchers). This suggests that repetitive head impact exposures elevate TBI biomarkers without having a concussion.”įurthermore, Papa and colleagues used a three-tier player position classification system developed by researchers using biomechanical measurements including head impact strain magnitude, head impact frequency and intervals. ![]() “Interestingly, biomarkers increased in all positions over the course of the season despite very few players being diagnosed with a concussion. “We found the biomarkers were much higher in football players in speed positions such as quarterbacks, wide receivers, defensive backs, running backs, halfbacks, fullbacks, tight ends, defensive backs, safety, and linebackers who build up momentum prior to tackling or being tackled, compared to non-speed positions like offensive and defensive linemen who engage other players before significant momentum can be generated,” said Linda Papa, MD, lead author of the study and emergency medicine physician and director, Academic Clinical Research, Orlando Health ORMC. The players were grouped by two established classification systems: speed versus non-speed positions, and Profile 1, Profile 2, and Profile 3. Researchers followed 52 college football athletes, pre-season and post-season, and measured four biomarkers (glial fibrillary acidic protein, ubiquitin C-terminal hydrolase-L1, total Tau, and neurofilament light chain polypeptide ). The biomarkers are proteins and other substances released from the brain after it has been damaged. This study, conducted in collaboration with researchers at Orlando Health Orlando Regional Medical Center (ORMC) and Penn State University, and published in the Journal of Neurotrauma, sheds light on which positions are at the greatest risk for elevations in brain injury biomarkers. A new research study looks inside the brains of college football athletes to measure levels of traumatic brain injury (TBI) biomarkers by player position. ![]()
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