Discovering Novel Plasma Biomarkers for Ischemic Stroke: Lipidomic and Metabolomic Analyses in an Aged Mouse Model.

12-HETE Arachidonic Acid Brain Lipids Inflammation Lipids Lipoxygenase Myelin Neurodegeneration Neurofilament Light Sphingolipids

Journal

Journal of lipid research
ISSN: 1539-7262
Titre abrégé: J Lipid Res
Pays: United States
ID NLM: 0376606

Informations de publication

Date de publication:
02 Aug 2024
Historique:
received: 07 05 2024
revised: 22 07 2024
accepted: 27 07 2024
medline: 5 8 2024
pubmed: 5 8 2024
entrez: 4 8 2024
Statut: aheadofprint

Résumé

Ischemic stroke remains a leading cause of mortality and long-term disability worldwide, necessitating efforts to identify biomarkers for diagnosis, prognosis, and treatment monitoring. The present study aimed to identify novel plasma biomarkers of neurodegeneration and inflammation in a mouse model of stroke induced by distal middle cerebral artery (MCA) occlusion. Using targeted lipidomic and global untargeted metabolomic profiling of plasma collected from aged male mice 24 hours after stroke and weekly thereafter for 7 weeks, we discovered distinct acute and chronic signatures. In the acute phase, we observed elevations in myelin-associated lipids, including sphingomyelin (SM) and hexosylceramide (HCER) lipid species, indicating brain lipid catabolism. In the chronic phase, we identified 12-hydroxyeicosatetraenoic acid (12-HETE) as a putative biomarker of prolonged inflammation, consistent with our previous observation of a biphasic pro-inflammatory response to ischemia in the mouse brain. These results provide insight into the metabolic alterations detectable in the plasma after stroke and highlight the potential of myelin degradation products and arachidonic acid derivatives as biomarkers of neurodegeneration and inflammation, respectively. These discoveries lay the groundwork for further validation in human studies and may improve stroke management strategies.

Identifiants

pubmed: 39098585
pii: S0022-2275(24)00119-6
doi: 10.1016/j.jlr.2024.100614
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

100614

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Auteurs

Danielle A Becktel (DA)

Department of Immunobiology, College of Medicine, University of Arizona, Tucson, Arizona, United States.

Jennifer B Frye (JB)

Department of Immunobiology, College of Medicine, University of Arizona, Tucson, Arizona, United States.

Elizabeth H Le (EH)

Department of Immunobiology, College of Medicine, University of Arizona, Tucson, Arizona, United States.

Susan A Whitman (SA)

Department of Immunobiology, College of Medicine, University of Arizona, Tucson, Arizona, United States.

Rick G Schnellmann (RG)

Department of Pharmacology and Toxicology, R. Ken Coit College of Pharmacy, University of Arizona, Tucson, Arizona, United States; Coit Center for Longevity and Neurotherapeutics, R. Ken Coit College of Pharmacy, University of Arizona, Tucson, Arizona, United States; BIO5 Institute, College of Medicine, University of Arizona, Tucson, Arizona, United States.

Helena W Morrison (HW)

College of Nursing, University of Arizona, Tucson, Arizona, United States.

Kristian P Doyle (KP)

Department of Immunobiology, College of Medicine, University of Arizona, Tucson, Arizona, United States; BIO5 Institute, College of Medicine, University of Arizona, Tucson, Arizona, United States; Department of Neurology, College of Medicine, University of Arizona, Tucson, Arizona, United States; Arizona Center on Aging, University of Arizona, Tucson, Arizona, United States; Department of Psychology, College of Science, University of Arizona, Tucson, Arizona, United States; Department of Neurosurgery, College of Medicine, University of Arizona, Tucson, Arizona, United States. Electronic address: doylekr@arizona.edu.

Classifications MeSH