A1 Refereed original research article in a scientific journal

Serum metabolome associated with severity of acute traumatic brain injury




AuthorsThomas Ilias, Dickens Alex M, Posti Jussi P, Czeiter Endre, Duberg Daniel, Sinioja Tim, Kråkström Matilda, Helmrich Isabel RA Retel, Wang Kevin KW, Maas Andrew IR, Steyerberg Ewout W, Menon David K, Tenovuo Olli, Hyötyläinen Tuulia, Büki András, Orešič Matej; Group author: CENTER-TBI Participants and Investigators

PublisherNATURE PORTFOLIO

Publication year2022

JournalNature Communications

Journal name in sourceNATURE COMMUNICATIONS

Journal acronymNAT COMMUN

Article number 2545

Volume13

Issue1

Number of pages15

DOIhttps://doi.org/10.1038/s41467-022-30227-5

Web address https://www.nature.com/articles/s41467-022-30227-5

Self-archived copy’s web addresshttps://research.utu.fi/converis/portal/detail/Publication/175402125


Abstract

Traumatic brain injury is associated with changes to the metabolome. Here the authors show that acute traumatic brain injury has distinctive serum metabolic patterns which may suggest protective changes of systemic lipid metabolism aiming to maintain lipid homeostasis in the brain.

Complex metabolic disruption is a crucial aspect of the pathophysiology of traumatic brain injury (TBI). Associations between this and systemic metabolism and their potential prognostic value are poorly understood. Here, we aimed to describe the serum metabolome (including lipidome) associated with acute TBI within 24 h post-injury, and its relationship to severity of injury and patient outcome. We performed a comprehensive metabolomics study in a cohort of 716 patients with TBI and non-TBI reference patients (orthopedic, internal medicine, and other neurological patients) from the Collaborative European NeuroTrauma Effectiveness Research in Traumatic Brain Injury (CENTER-TBI) cohort. We identified panels of metabolites specifically associated with TBI severity and patient outcomes. Choline phospholipids (lysophosphatidylcholines, ether phosphatidylcholines and sphingomyelins) were inversely associated with TBI severity and were among the strongest predictors of TBI patient outcomes, which was further confirmed in a separate validation dataset of 558 patients. The observed metabolic patterns may reflect different pathophysiological mechanisms, including protective changes of systemic lipid metabolism aiming to maintain lipid homeostasis in the brain.


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Last updated on 2024-26-11 at 23:30