Common lipidomic signatures across distinct acute brain injuries in patient outcome prediction

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.

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Publication Details

Journal
Neurobiology of Disease
Published
2024-12-10
DOI
https://doi.org/10.1016/j.nbd.2024.106762
Citations
5
Primary Topic
Traumatic Brain Injury and Neurovascular Disturbances
Type
article
Field-Weighted Citation Impact
1.85

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article

Common lipidomic signatures across distinct acute brain injuries in patient outcome prediction

Romuald Girard, Ying Cao, Anni I. Nieminen, Eero Ċastrén et al.
5 citations
Neurobiology of Disease
Traumatic Brain Injury and Neurovascular Disturbances
1.85
article

Common lipidomic signatures across distinct acute brain injuries in patient outcome prediction

Romuald Girard, Ying Cao, Anni I. Nieminen, Eero Ċastrén, Séan Lyne, Janek Frantzén, Fredrika Koskimäki, Jukka Puolitaival, Tomi Rantamäki, Santtu Hellström, Melissa Rahi, Antti Sajanti, Susanna Roine, Jussi P. Posti, Johannes Falter, Abhinav Srinath, Jaakko Rinne, Carolyn M. Bennett, Janne Koskimäki, Miro Jänkälä, Kenneth Nazir, Aditya Jhaveri, Riikka Takala, Sulo Kolehmainen
article en
5 citations

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.

Neurobiology of DiseaseVol. 204
Brigham and Women's Hospital (US), University of Helsinki (FI), Harvard University (US), University of Turku (FI), Turku University Hospital (FI), University Medical Center (US)
Helsingin Yliopisto, Suomen Lääketieteen Säätiö, Academy of Finland, Sigrid Juséliuksen Säätiö, Maire Taposen Säätiö, Biocenter Finland, Helsinki Institute of Life Science, Helsingin Yliopisto, Terveyden Tutkimuksen Toimikunta
Openalex Percentile: Top 13%
Traumatic Brain Injury and Neurovascular Disturbances
1.85
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