A panel of blood biomarkers unique to sudden cardiac arrest.
Biomarker
Cardiac arrest
Death
Prediction
Prevention
Proteomics
Risk stratification
Sudden cardiac
Journal
Heart rhythm
ISSN: 1556-3871
Titre abrégé: Heart Rhythm
Pays: United States
ID NLM: 101200317
Informations de publication
Date de publication:
03 2023
03 2023
Historique:
received:
10
08
2022
revised:
17
11
2022
accepted:
06
12
2022
pmc-release:
01
03
2024
pubmed:
16
12
2022
medline:
3
3
2023
entrez:
15
12
2022
Statut:
ppublish
Résumé
The identification of circulating biomarkers specific for sudden cardiac arrest (SCA) could enhance risk prediction. Of particular interest are biomarkers specific to SCA, independent of coronary artery disease (CAD). The purpose of this study was to identify biomarkers of SCA obtained close to the SCA event. Twenty cases (survivors of SCA) and 40 age- and sex-matched controls were compared, with a replication analysis of 29 cases matched to 57 controls. A secondary analysis compared 20 SCA cases to 20 controls with CAD. Blood samples were obtained from SCA survivors at a median of 11 months after the SCA event. Proteins were analyzed on a mass spectrometer using data-independent acquisition; a subset of cytokines were analyzed using immunoassays; and 1153 lipids (13 classes) were analyzed. A false discovery rate P value of <.05 identified associated proteins. Patients had a mean age of 58 years (range 25-87 years), and 70% were male. A total of 26 protein biomarkers associated with SCA when cases were compared with controls, of which 20 differentiated SCA from CAD. The replication analysis identified 8 of 26 biomarkers, of which 6 were not overlapping with CAD. The top identified biological processes involved the extracellular matrix, coagulation cascades, and platelet activation. Lipids in the lysophosphatidylcholine class were implicated in SCA through the CAD pathway. We identified a panel of novel blood biomarkers specifically associated with SCA, including several that may be involved outside the CAD pathway. These biomarkers could have mechanistic significance and the potential to enhance clinical prediction of SCA.
Sections du résumé
BACKGROUND
The identification of circulating biomarkers specific for sudden cardiac arrest (SCA) could enhance risk prediction. Of particular interest are biomarkers specific to SCA, independent of coronary artery disease (CAD).
OBJECTIVE
The purpose of this study was to identify biomarkers of SCA obtained close to the SCA event.
METHODS
Twenty cases (survivors of SCA) and 40 age- and sex-matched controls were compared, with a replication analysis of 29 cases matched to 57 controls. A secondary analysis compared 20 SCA cases to 20 controls with CAD. Blood samples were obtained from SCA survivors at a median of 11 months after the SCA event. Proteins were analyzed on a mass spectrometer using data-independent acquisition; a subset of cytokines were analyzed using immunoassays; and 1153 lipids (13 classes) were analyzed. A false discovery rate P value of <.05 identified associated proteins.
RESULTS
Patients had a mean age of 58 years (range 25-87 years), and 70% were male. A total of 26 protein biomarkers associated with SCA when cases were compared with controls, of which 20 differentiated SCA from CAD. The replication analysis identified 8 of 26 biomarkers, of which 6 were not overlapping with CAD. The top identified biological processes involved the extracellular matrix, coagulation cascades, and platelet activation. Lipids in the lysophosphatidylcholine class were implicated in SCA through the CAD pathway.
CONCLUSION
We identified a panel of novel blood biomarkers specifically associated with SCA, including several that may be involved outside the CAD pathway. These biomarkers could have mechanistic significance and the potential to enhance clinical prediction of SCA.
Identifiants
pubmed: 36521734
pii: S1547-5271(22)02720-5
doi: 10.1016/j.hrthm.2022.12.014
pmc: PMC9974970
mid: NIHMS1863442
pii:
doi:
Substances chimiques
Biomarkers
0
Lipids
0
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
414-422Subventions
Organisme : NHLBI NIH HHS
ID : R01 HL111362
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL145675
Pays : United States
Organisme : NHLBI NIH HHS
ID : R01 HL147358
Pays : United States
Informations de copyright
Copyright © 2022 Heart Rhythm Society. Published by Elsevier Inc. All rights reserved.
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