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dc.contributor.authorDickens, Alex M
dc.contributor.authorPosti, Jussi P
dc.contributor.authorTakala, Riikka SK
dc.contributor.authorAla-Seppälä, Henna
dc.contributor.authorMattila, Ismo
dc.contributor.authorColes, Jonathan P
dc.contributor.authorFrantzén, Janek
dc.contributor.authorHutchinson, Peter J
dc.contributor.authorKatila, Ari J
dc.contributor.authorKyllönen, Anna
dc.contributor.authorMaanpää, Henna-Riikka
dc.contributor.authorNewcombe, Virginia
dc.contributor.authorOuttrim, Joanne
dc.contributor.authorTallus, Jussi
dc.contributor.authorCarpenter, Keri LH
dc.contributor.authorMenon, David K
dc.contributor.authorHyötyläinen, Tuulia
dc.contributor.authorTenovuo, Olli
dc.contributor.authorOrešic, Matej
dc.date.accessioned2018-09-27T14:09:51Z
dc.date.available2018-09-27T14:09:51Z
dc.date.issued2018-11-15
dc.identifier.issn0897-7151
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/282788
dc.description.abstractThere is a need to rapidly detect patients with traumatic brain injury (TBI) who require head computed tomography (CT). Given the energy crisis in the brain following TBI, we hypothesized that serum metabolomics would be a useful tool for developing a set of biomarkers to determine the need for CT and to distinguish among different types of injuries observed. Logistical regression models using metabolite data from the discovery cohort (n = 144, Turku, Finland) were used to distinguish between patients with traumatic intracranial findings and those with negative findings on head CT. The resultant models were then tested in the validation cohort (n = 66, Cambridge, United Kingdom). The levels of glial fibrillary acidic protein and ubiquitin C-terminal hydrolase-L1 were also quantified in the serum from the same patients. Despite there being significant differences in the protein biomarkers in patients with TBI, the model that determined the need for a CT scan validated poorly (area under the curve [AUC] = 0.64: Cambridge patients). However, using a combination of six metabolites (two amino acids, three sugar derivatives, and one ketoacid) it was possible to discriminate patients with intracranial abnormalities on CT and patients with a normal CT (AUC = 0.77 in Turku patients and AUC = 0.73 in Cambridge patients). Further, a combination of three metabolites could distinguish between diffuse brain injuries and mass lesions (AUC = 0.87 in Turku patients and AUC = 0.68 in Cambridge patients). This study identifies a set of validated serum polar metabolites, which associate with the need for a CT scan. Additionally, serum metabolites can also predict the nature of the brain injury. These metabolite markers may prevent unnecessary CT scans, thus reducing the cost of diagnostics and radiation load.
dc.description.sponsorshipEU FP7 project TBIcare - Project ref. 270259 NIHR Cambridge Biomedical Research Centre
dc.format.mediumPrint-Electronic
dc.languageeng
dc.publisherMary Ann Liebert Inc
dc.subjectHumans
dc.subjectTomography, X-Ray Computed
dc.subjectAdolescent
dc.subjectAdult
dc.subjectAged
dc.subjectAged, 80 and over
dc.subjectMiddle Aged
dc.subjectFemale
dc.subjectMale
dc.subjectYoung Adult
dc.subjectBiomarkers
dc.subjectBrain Injuries, Traumatic
dc.titleSerum Metabolites Associated with Computed Tomography Findings after Traumatic Brain Injury.
dc.typeArticle
prism.endingPage2683
prism.issueIdentifier22
prism.publicationDate2018
prism.publicationNameJ Neurotrauma
prism.startingPage2673
prism.volume35
dc.identifier.doi10.17863/CAM.30152
dcterms.dateAccepted2018-05-29
rioxxterms.versionofrecord10.1089/neu.2017.5272
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-11
dc.contributor.orcidColes, Jonathan [0000-0003-4013-679X]
dc.contributor.orcidHutchinson, Peter [0000-0002-2796-1835]
dc.contributor.orcidNewcombe, Virginia [0000-0001-6044-9035]
dc.contributor.orcidOuttrim, Joanne [0000-0001-8118-6430]
dc.contributor.orcidCarpenter, Keri [0000-0001-8236-7727]
dc.contributor.orcidMenon, David [0000-0002-3228-9692]
dc.identifier.eissn1557-9042
rioxxterms.typeJournal Article/Review
pubs.funder-project-idCambridge University Hospitals NHS Foundation Trust (CUH) (unknown)
pubs.funder-project-idCambridge University Hospitals NHS Foundation Trust (CUH) (146281)
pubs.funder-project-idAcademy of Medical Sciences (unknown)
pubs.funder-project-idMedical Research Council (G1002277)
pubs.funder-project-idMedical Research Council (G0601025)
pubs.funder-project-idMedical Research Council (G0600986)
pubs.funder-project-idMedical Research Council (G9439390)
pubs.funder-project-idNETSCC (None)
pubs.funder-project-idNETSCC (None)
pubs.funder-project-idTCC (None)
cam.issuedOnline2018-08-21
rioxxterms.freetoread.startdate2019-08-21


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