{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T18:30:04Z","timestamp":1783794604041,"version":"3.55.0"},"reference-count":45,"publisher":"BMJ","issue":"24","license":[{"start":{"date-parts":[[2021,3,23]],"date-time":"2021-03-23T00:00:00Z","timestamp":1616457600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100000265","name":"Medical Research Council","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000265","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000272","name":"National Institute for Health Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Marker Diagnostics"},{"name":"Rugby Football Union"},{"name":"Midland Neuroscience Teaching and Research Fund"}],"content-domain":{"domain":["bmj.com"],"crossmark-restriction":true},"short-container-title":["Br J Sports Med"],"accepted":{"date-parts":[[2021,1,18]]},"published-print":{"date-parts":[[2021,12]]},"abstract":"<jats:sec>\n                  <jats:title>Objective<\/jats:title>\n                  <jats:p>To investigate the role of salivary small non-coding RNAs (sncRNAs) in the diagnosis of sport-related concussion.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>Saliva was obtained from male professional players in the top two tiers of England\u2019s elite rugby union competition across two seasons (2017\u20132019). Samples were collected preseason from 1028 players, and during standardised head injury assessments (HIAs) at three time points (in-game, post-game, and 36\u201348\u2009hours post-game) from 156 of these. Samples were also collected from controls (102 uninjured players and 66 players sustaining a musculoskeletal injury). Diagnostic sncRNAs were identified with next generation sequencing and validated using quantitative PCR in 702 samples. A predictive logistic regression model was built on 2017\u20132018 data (training dataset) and prospectively validated the following season (test dataset).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>The HIA process confirmed concussion in 106 players (HIA+) and excluded this in 50 (HIA\u2212). 32 sncRNAs were significantly differentially expressed across these two groups, with let-7f-5p showing the highest area under the curve (AUC) at 36\u201348\u2009hours. Additionally, a combined panel of 14 sncRNAs (let-7a-5p, miR-143-3p, miR-103a-3p, miR-34b-3p, RNU6-7, RNU6-45, Snora57, snoU13.120, tRNA18Arg-CCT, U6-168, U6-428, U6-1249, Uco22cjg1,YRNA_255) could differentiate concussed subjects from all other groups, including players who were HIA\u2212 and controls, immediately after the game (AUC 0.91, 95%\u2009CI 0.81 to 1) and 36\u201348\u2009hours later (AUC 0.94, 95%\u2009CI 0.86 to 1). When prospectively tested, the panel confirmed high predictive accuracy (AUC 0.96, 95%\u2009CI 0.92 to 1 post-game and AUC 0.93, 95%\u2009CI 0.86 to 1 at 36\u201348\u2009hours).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusions<\/jats:title>\n                  <jats:p>SCRUM, a large prospective observational study of non-invasive concussion biomarkers, has identified unique signatures of concussion in saliva of male athletes diagnosed with concussion.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1136\/bjsports-2020-103274","type":"journal-article","created":{"date-parts":[[2021,3,23]],"date-time":"2021-03-23T18:50:11Z","timestamp":1616525411000},"page":"1395-1404","update-policy":"https:\/\/doi.org\/10.1136\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":70,"title":["Unique diagnostic signatures of concussion in the saliva of male athletes: the Study of Concussion in Rugby Union through MicroRNAs 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