Common lipidomic signatures across distinct acute brain injuries in patient outcome prediction
Year: 2024
Type: article
Study design: Observational Study
Abstract: Lipidomic alterations have been associated with various neurological diseases. Examining temporal changes in serum lipidomic profiles, irrespective of injury type, reveals promising prognostic indicators. In this longitudinal prospective observational study, serum samples were collected early (46 ± 24 h) and late (142 ± 52 h) post-injury from 70 patients with ischemic stroke, aneurysmal subarachnoid hemorrhage, and traumatic brain injury that had outcomes dichotomized as favorable (modified Rankin Scores (mRS) 0-3) and unfavorable (mRS 4-6) three months post-injury. Lipidomic profiling of 1153 lipids, analyzed using statistical and machine learning methods, identified 153 lipids with late-stage significant outcome differences. Supervised machine learning pinpointed 12 key lipids, forming a combinatory prognostic equation with high discriminatory power (AUC 94.7 %, sensitivity 89 %, specificity 92 %; p < 0.0001). Enriched functions of the identified lipids were related to sphingolipid signaling, glycerophospholipid metabolism, and necroptosis (p < 0.05, FDR-corrected). The study underscores the dynamic nature of lipidomic profiles in acute brain injuries, emphasizing late-stage distinctions and proposing lipids as significant prognostic markers, transcending injury types. These findings advocate further exploration of lipidomic changes for a comprehensive understanding of pathobiological roles and enhanced prediction for recovery trajectories.
Source: Neurobiology of Disease
Authors: Santtu Hellström, Antti Sajanti, Abhinav Srinath, Carolyn Bennett, Romuald Girard, Aditya Jhaveri, Ying Cao, Johannes Falter, Janek Frantzén, Fredrika Koskimäki, Seán B. Lyne, Tomi Rantamäki, Riikka Takala, Jussi P. Posti, Susanna Roine, Sulo Kolehmainen, Kenneth Nazir, Miro Jänkälä, Jukka Puolitaival, Melissa Rahi, Jaakko Rinne, Anni I. Nieminen, Eero Castrén, Janne Koskimäki
Institutions: University of Turku, Turku University Hospital, University of Chicago, University of Chicago Medical Center, University of Kansas Medical Center, University Hospital Regensburg, University of Regensburg, Brigham and Women's Hospital, Harvard University, University of Helsinki, HiLIFE – Elämäntieteiden Instituutti, Institute for Molecular Medicine Finland, Oulu University Hospital
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: gold
Estimated APC paid: $3,430
Award: G1183589134
OpenAlex ID: W4405204549
