Evidence map›Paper›PMID 36403906›Full record

ArticleJournal of sport and health science2023

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

Rany Vorn, Christina Devoto, Timothy B Meier, Chen Lai, Sijung Yun, Steven P Broglio, Sara Mithani, Thomas W McAllister, Christopher C Giza, Hyung-Suk Kim and 15 more

Open access · diamondAbstract readMulticenter Study
In one paragraph

Article in Journal of sport and health science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.9field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors at 13 institutions in 1 country.

Rany VornJohns Hopkins School of Nursing and Medicine, Baltimore, MD 21205, USA; National Institutes of Health, Bethesda, MD 20892, USA.
Christina DevotoNational Institutes of Health, Bethesda, MD 20892, USA.
Timothy B MeierDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Chen LaiNational Institutes of Health, Bethesda, MD 20892, USA.
Sijung YunPredictiv Care, Inc., Mountain View, CA 94086, USA.
Steven P BroglioMichigan Concussion Center, University of Michigan, Ann Arbor, MI 48109, USA.
Sara MithaniNational Institutes of Health, Bethesda, MD 20892, USA.
Thomas W McAllisterDepartment of Psychiatry, Indiana University School of Medicine, Indianapolis, IN 46202, USA.
Christopher C GizaDepartments of Pediatrics and Neurosurgery, University of California at Los Angeles (UCLA), Los Angeles, CA 90024, USA.
Hyung-Suk KimNational Institutes of Health, Bethesda, MD 20892, USA.
Daniel HuberDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Jaroslaw HarezlakDepartment of Epidemiology and Biostatistics School of Public Health - Bloomington, Indiana University, Bloomington, IN 47405, USA.
Kenneth L CameronJohn A. Feagin Sports Medicine Fellowship, Keller Army Community Hospital, West Point, NY 10996, USA.
Gerald McGintyUnited States Air Force Academy, Colorado Springs, CO 80840, USA.
Jonathan JacksonUnited States Air Force Academy, Colorado Springs, CO 80840, USA.
Kevin M GuskiewiczMathew Gfeller Center, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA.
Jason P MihalikMathew Gfeller Center, Department of Exercise and Sport Science, University of North Carolina at Chapel Hill, Chapel Hill, NC 27514, USA.
Alison BrooksDepartment of Orthopedics, Division of Sports Medicine, School of Medicine and Public Health, University of Wisconsin, Madison, WI 53705, USA.
Stefan DumaDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA.
Steven RowsonDepartment of Biomedical Engineering and Mechanics, Virginia Tech, Blacksburg, VA 24061, USA.
Lindsay D NelsonDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Paul PasquinaCenter for Neuroscience & Regenerative Medicine, Uniformed Services University, Bethesda, MD 20814, USA.
Michael A McCreaDepartment of Neurosurgery, Medical College of Wisconsin, Milwaukee, WI 53226, USA.
Jessica M GillJohns Hopkins School of Nursing and Medicine, Baltimore, MD 21205, USA. Electronic address: jessicagill@jhu.edu.
CARE Consortium Investigators
Medical College of Wisconsin · USNational Institutes of Health · USUnited States Air Force Academy · USUniversity of North Carolina at Chapel Hill · USVirginia Tech · USIndiana University Bloomington · USIndiana University School of MedicineJohns Hopkins University · USKeller Army Community Hospital · USThe University of Texas Health Science Center at San Antonio · USUniversity of California, Los Angeles · USUniversity of Michigan–Ann Arbor · USUniversity of Wisconsin–Madison · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCurrent 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.

methodsThis 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.

resultsA 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.

conclusionOur 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.

Indexed as

Athletic InjuriesBrain ConcussionSportsalpha-SynucleinBiomarkersCase-Control StudiesCytoskeletal ProteinsFemaleHumansMaleMembrane ProteinsProspective StudiesProteomicsalpha-SynucleinBiomarkersCytoskeletal Proteinserythrocyte membrane band 4.1 proteinMembrane ProteinsBiomarkersCollege athletesConcussionMild traumatic brain injurySport injury

Identifiers

PMID36403906
PMCPMC10199139
OpenAlexW4309293902

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.