Shared metabolomic signatures for prognostic precision across brain injuries

dc.contributor.authorHellström, Santtu
dc.contributor.authorSajanti, Antti
dc.contributor.authorJhaveri, Aditya
dc.contributor.authorCao, Ying
dc.contributor.authorKoskimäki, Fredrika
dc.contributor.authorFalter, Johannes
dc.contributor.authorFrantzén, Janek
dc.contributor.authorLyne, Seán B.
dc.contributor.authorRantamäki, Tomi
dc.contributor.authorTakala, Riikka
dc.contributor.authorPosti, Jussi P.
dc.contributor.authorRoine, Susanna
dc.contributor.authorKolehmainen, Sulo
dc.contributor.authorGajera, Bharat
dc.contributor.authorNazir, Kenneth
dc.contributor.authorJänkälä, Miro
dc.contributor.authorPiironen, Susanna
dc.contributor.authorAbdirisak, Ahmed
dc.contributor.authorSrinath, Abhinav
dc.contributor.authorGirard, Romuald
dc.contributor.authorNieminen, Anni I.
dc.contributor.authorRahi, Melissa
dc.contributor.authorRinne, Jaakko
dc.contributor.authorCastrén, Eero
dc.contributor.authorKoskimäki, Janne
dc.contributor.organizationfi=anestesiologia ja tehohoito|en=Anaesthesiology, Intensive Care|
dc.contributor.organizationfi=kliininen laitos|en=Department of Clinical Medicine|
dc.contributor.organizationfi=kliiniset neurotieteet|en=Clinical Neurosciences|
dc.contributor.organizationfi=tyks, vsshp|en=tyks, varha|
dc.contributor.organization-code1.2.246.10.2458963.20.61334543354
dc.contributor.organization-code1.2.246.10.2458963.20.74845969893
dc.contributor.organization-code1.2.246.10.2458963.20.82197219338
dc.converis.publication-id505943913
dc.converis.urlhttps://research.utu.fi/converis/portal/Publication/505943913
dc.date.accessioned2026-01-21T12:07:30Z
dc.date.available2026-01-21T12:07:30Z
dc.description.abstract<h3>Introduction</h3><p>Metabolomic alterations have been linked to a range of neurological conditions. Investigating temporal changes in serum metabolomic profiles, regardless of the type of brain injury may reveal prognostic indicators.</p><h3>Research question</h3><p>We hypothesize that specific metabolomic signatures, conserved across different acute brain injuries, can serve as robust predictors of patient outcomes.</p><h3>Material and methods</h3><p>In this longitudinal prospective observational study, serum samples were collected early (2 ± 1 day) and late (6 ± 2 days) post-injury from a total of 73 patients with ischemic stroke (n = 30), aneurysmal subarachnoid hemorrhage (n = 30), and traumatic brain injury (n = 13). Outcomes were categorized as favorable (modified Rankin Scores (mRS) 0–3) and unfavorable (mRS 4–6) three months post-injury. Metabolomic profiling (Orbitrap mass spectrometry) of 462 metabolites, analyzed using statistical and machine learning methods, identified significant outcome differences (p < 0.05, FDR-corrected).</p><h3>Results</h3><p>Early-stage samples indicated good prognostic power with a combination of uridine, tryptophan, and lactic acid (AUC 88.8 %, OR 5.29, p < 0.0001). Late-stage samples showed high discriminatory accuracy with a combination of prostaglandin J2, gamma-linolenic acid, N-acetyl-L-alanine, uridine, N-alpha-acetyl-L-asparagine, 3-hydroxy-3-methylglutarate, propionate, and creatinine (AUC 94.4 %, OR 14.5, p < 0.0001). Pathway analyses revealed significant associations with glycolysis/gluconeogenesis, pyrimidine metabolism, and tryptophan metabolism at early stages, and fatty acid biosynthesis, pyruvate metabolism, phenylalanine metabolism, and tryptophan metabolism at later stages.</p><h3>Discussion and conclusion</h3><p>These findings underscore the dynamic nature of metabolomic profiles in acute brain injuries and highlight common metabolites as significant prognostic markers across brain injury types.</p>
dc.identifier.eissn2772-5294
dc.identifier.olddbid212139
dc.identifier.oldhandle10024/195157
dc.identifier.urihttps://www.utupub.fi/handle/11111/38498
dc.identifier.urlhttps://doi.org/10.1016/j.bas.2025.105877
dc.identifier.urnURN:NBN:fi-fe202601215565
dc.language.isoen
dc.okm.affiliatedauthorHellström, Santtu
dc.okm.affiliatedauthorSajanti, Antti
dc.okm.affiliatedauthorFrantzen, Janek
dc.okm.affiliatedauthorTakala, Riikka
dc.okm.affiliatedauthorPosti, Jussi
dc.okm.affiliatedauthorRahi, Melissa
dc.okm.affiliatedauthorRinne, Jaakko
dc.okm.affiliatedauthorKoskimäki, Janne
dc.okm.affiliatedauthorDataimport, tyks, vsshp
dc.okm.discipline3112 Neurosciencesen_GB
dc.okm.discipline3112 Neurotieteetfi_FI
dc.okm.internationalcopublicationinternational co-publication
dc.okm.internationalityInternational publication
dc.okm.typeA1 ScientificArticle
dc.publisherElsevier
dc.publisher.countryNetherlandsen_GB
dc.publisher.countryAlankomaatfi_FI
dc.publisher.country-codeNL
dc.relation.articlenumber105877
dc.relation.doi10.1016/j.bas.2025.105877
dc.relation.ispartofjournalBrain and Spine
dc.relation.volume5
dc.source.identifierhttps://www.utupub.fi/handle/10024/195157
dc.titleShared metabolomic signatures for prognostic precision across brain injuries
dc.year.issued2025

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