Are EPB41 and alpha-synuclein diagnostic biomarkers of sport-related concussion? Findings from the NCAA and Department of Defense CARE Consortium

Background: Current protein biomarkers are only moderately predictive at identifying individuals with mild traumatic brain injury or concussion. Therefore, more accurate diagnostic markers are needed for sport-related concussion. Methods: This was a multicenter, prospective, case-control study of at...

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主要な著者: Rany Vorn (著者), Christina Devoto (著者), Timothy B. Meier (著者), Chen Lai (著者), Sijung Yun (著者), Steven P. Broglio (著者), Sara Mithani (著者), Thomas W. McAllister (著者), Christopher C. Giza (著者), Hyung-Suk Kim (著者), Daniel Huber (著者), Jaroslaw Harezlak (著者), Kenneth L. Cameron (著者), Gerald McGinty (著者), Jonathan Jackson (著者), Kevin M. Guskiewicz (著者), Jason P. Mihalik (著者), Alison Brooks (著者), Stefan Duma (著者), Steven Rowson (著者), Lindsay D. Nelson (著者), Paul Pasquina (著者), Michael A. McCrea (著者), Jessica M. Gill (著者)
フォーマット: 図書
出版事項: Elsevier, 2023-05-01T00:00:00Z.
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042 |a dc 
100 1 0 |a Rany Vorn  |e author 
700 1 0 |a Christina Devoto  |e author 
700 1 0 |a Timothy B. Meier  |e author 
700 1 0 |a Chen Lai  |e author 
700 1 0 |a Sijung Yun  |e author 
700 1 0 |a Steven P. Broglio  |e author 
700 1 0 |a Sara Mithani  |e author 
700 1 0 |a Thomas W. McAllister  |e author 
700 1 0 |a Christopher C. Giza  |e author 
700 1 0 |a Hyung-Suk Kim  |e author 
700 1 0 |a Daniel Huber  |e author 
700 1 0 |a Jaroslaw Harezlak  |e author 
700 1 0 |a Kenneth L. Cameron  |e author 
700 1 0 |a Gerald McGinty  |e author 
700 1 0 |a Jonathan Jackson  |e author 
700 1 0 |a Kevin M. Guskiewicz  |e author 
700 1 0 |a Jason P. Mihalik  |e author 
700 1 0 |a Alison Brooks  |e author 
700 1 0 |a Stefan Duma  |e author 
700 1 0 |a Steven Rowson  |e author 
700 1 0 |a Lindsay D. Nelson  |e author 
700 1 0 |a Paul Pasquina  |e author 
700 1 0 |a Michael A. McCrea  |e author 
700 1 0 |a Jessica M. Gill  |e author 
245 0 0 |a Are EPB41 and alpha-synuclein diagnostic biomarkers of sport-related concussion? Findings from the NCAA and Department of Defense CARE Consortium 
260 |b Elsevier,   |c 2023-05-01T00:00:00Z. 
500 |a 2095-2546 
500 |a 10.1016/j.jshs.2022.11.007 
520 |a Background: Current protein biomarkers are only moderately predictive at identifying individuals with mild traumatic brain injury or concussion. Therefore, more accurate diagnostic markers are needed for sport-related concussion. Methods: This was a multicenter, prospective, case-control study of athletes who provided blood samples and were diagnosed with a concussion or were a matched non-concussed control within the National Collegiate Athletic Association-Department of Defense Concussion Assessment, Research, and Education Consortium conducted between 2015 and 2019. The blood was collected within 48 h of injury to identify protein abnormalities at the acute and subacute timepoints. Athletes with concussion were divided into 6 h post-injury (0-6 h post-injury) and after 6 h post-injury (7-48 h post-injury) groups. We applied a highly multiplexed proteomic technique that used a DNA aptamers assay to target 1305 proteins in plasma samples from athletes with and without sport-related concussion. Results: A total of 140 athletes with concussion (79.3% males; aged 18.71 ± 1.10 years, mean ± SD) and 21 non-concussed athletes (76.2% males; 19.14 ± 1.10 years) were included in this study. We identified 338 plasma proteins that significantly differed in abundance (319 upregulated and 19 downregulated) in concussed athletes compared to non-concussed athletes. The top 20 most differentially abundant proteins discriminated concussed athletes from non-concussed athletes with an area under the curve (AUC) of 0.954 (95% confidence interval: 0.922‒0.986). Specifically, after 6 h of injury, the individual AUC of plasma erythrocyte membrane protein band 4.1 (EPB41) and alpha-synuclein (SNCA) were 0.956 and 0.875, respectively. The combination of EPB41 and SNCA provided the best AUC (1.000), which suggests this combination of candidate plasma biomarkers is the best for diagnosing concussion in athletes after 6 h of injury. Conclusion: Our data suggest that proteomic profiling may provide novel diagnostic protein markers and that a combination of EPB41 and SNCA is the most predictive biomarker of concussion after 6 h of injury. 
546 |a EN 
690 |a Biomarkers 
690 |a College athletes 
690 |a Concussion 
690 |a Mild traumatic brain injury 
690 |a Sport injury 
690 |a Sports 
690 |a GV557-1198.995 
690 |a Sports medicine 
690 |a RC1200-1245 
655 7 |a article  |2 local 
786 0 |n Journal of Sport and Health Science, Vol 12, Iss 3, Pp 379-387 (2023) 
787 0 |n http://www.sciencedirect.com/science/article/pii/S2095254622001144 
787 0 |n https://doaj.org/toc/2095-2546 
856 4 1 |u https://doaj.org/article/7954d91749c54d1b9d7e66e2556c1c5c  |z Connect to this object online.