Acetylglutamine Differentially Associated with First-Time Versus Recurrent Stroke.

Acetylglutamine Metabolomics Recurrent stroke Risk factors

Journal

Translational stroke research
ISSN: 1868-601X
Titre abrégé: Transl Stroke Res
Pays: United States
ID NLM: 101517297

Informations de publication

Date de publication:
02 Aug 2023
Historique:
received: 09 05 2023
accepted: 24 07 2023
revised: 10 07 2023
medline: 2 8 2023
pubmed: 2 8 2023
entrez: 2 8 2023
Statut: aheadofprint

Résumé

Approximately one-quarter of strokes occur in individuals with prior stroke. Despite the advancement in secondary stroke prevention, the long-term risk of recurrent stroke has remained unchanged. The objective of this study was to identify metabolite risk markers that are associated with recurrent stroke. We performed targeted metabolomic profiling of 162 metabolites by liquid chromatography-tandem mass spectrometry in baseline plasma in a stroke case-cohort study nested within the Reasons for Geographic and Racial Differences in Stroke (REGARDS) study, an observational cohort study of 30,239 individuals aged 45 and older enrolled in 2003-2007. Weighted Cox proportional hazard models were used to identify metabolites that had a differential effect on first-time versus recurrent stroke using an interaction term between metabolite and prior stroke at baseline (yes or no). The study included 1391 incident stroke cases identified during 7.1 ± 4.5 years of follow-up and 1050 participants in the random cohort sample. Among 162 metabolites, 13 candidates had a metabolite-by-prior stroke interaction at a p-value <0.05, with one metabolite, acetylglutamine, surpassing the Bonferroni adjusted p-value threshold (p for interaction = 5.78 × 10

Identifiants

pubmed: 37531033
doi: 10.1007/s12975-023-01181-1
pii: 10.1007/s12975-023-01181-1
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Subventions

Organisme : NINDS NIH HHS
ID : R01 NS099209
Pays : United States
Organisme : NINDS NIH HHS
ID : U01 NS041588
Pays : United States

Informations de copyright

© 2023. The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature.

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Auteurs

Naruchorn Kijpaisalratana (N)

Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Division of Neurology, Department of Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Division of Academic Affairs, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA.

Zsuzsanna Ament (Z)

Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA.
Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA.

Amit Patki (A)

Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.

Varun M Bhave (VM)

Harvard Medical School, Boston, MA, USA.

Alana C Jones (AC)

Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.

Ana-Lucia Garcia Guarniz (AL)

Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA.

Catharine A Couch (CA)

Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.

Mary Cushman (M)

Department of Medicine, Larner College of Medicine at the University of Vermont, Burlington, VT, USA.

D Leann Long (DL)

Department of Biostatistics, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.

M Ryan Irvin (MR)

Department of Epidemiology, School of Public Health, University of Alabama at Birmingham, Birmingham, AL, USA.

W Taylor Kimberly (WT)

Center for Genomic Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, USA. wtkimberly@mgh.harvard.edu.
Department of Neurology, Massachusetts General Hospital, Boston, MA, 02114, USA. wtkimberly@mgh.harvard.edu.
Harvard Medical School, Boston, MA, USA. wtkimberly@mgh.harvard.edu.

Classifications MeSH