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Metabolomics Fingerprint Predicts Risk of Death in Dilated Cardiomyopathy and Heart Failure.

Authors :
Vignoli A
Fornaro A
Tenori L
Castelli G
Cecconi E
Olivotto I
Marchionni N
Alterini B
Luchinat C
Source :
Frontiers in cardiovascular medicine [Front Cardiovasc Med] 2022 Apr 07; Vol. 9, pp. 851905. Date of Electronic Publication: 2022 Apr 07 (Print Publication: 2022).
Publication Year :
2022

Abstract

Background: Heart failure (HF) is a leading cause of morbidity and mortality worldwide. Metabolomics may help refine risk assessment and potentially guide HF management, but dedicated studies are few. This study aims at stratifying the long-term risk of death in a cohort of patients affected by HF due to dilated cardiomyopathy (DCM) using serum metabolomics via nuclear magnetic resonance (NMR) spectroscopy.<br />Methods: A cohort of 106 patients with HF due to DCM, diagnosed and monitored between 1982 and 2011, were consecutively enrolled between 2010 and 2012, and a serum sample was collected from each participant. Each patient underwent half-yearly clinical assessments, and survival status at the last follow-up visit in 2019 was recorded. The NMR serum metabolomic profiles were retrospectively analyzed to evaluate the patient's risk of death. Overall, 26 patients died during the 8-years of the study.<br />Results: The metabolomic fingerprint at enrollment was powerful in discriminating patients who died (HR 5.71, p = 0.00002), even when adjusted for potential covariates. The outcome prediction of metabolomics surpassed that of N-terminal pro b-type natriuretic peptide (NT-proBNP) (HR 2.97, p = 0.005). Metabolomic fingerprinting was able to sub-stratify the risk of death in patients with both preserved/mid-range and reduced ejection fraction [hazard ratio (HR) 3.46, p = 0.03; HR 6.01, p = 0.004, respectively]. Metabolomics and left ventricular ejection fraction (LVEF), combined in a score, proved to be synergistic in predicting survival (HR 8.09, p = 0.0000004).<br />Conclusions: Metabolomic analysis via NMR enables fast and reproducible characterization of the serum metabolic fingerprint associated with poor prognosis in the HF setting. Our data suggest the importance of integrating several risk parameters to early identify HF patients at high-risk of poor outcomes.<br />Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.<br /> (Copyright © 2022 Vignoli, Fornaro, Tenori, Castelli, Cecconi, Olivotto, Marchionni, Alterini and Luchinat.)

Details

Language :
English
ISSN :
2297-055X
Volume :
9
Database :
MEDLINE
Journal :
Frontiers in cardiovascular medicine
Publication Type :
Academic Journal
Accession number :
35463749
Full Text :
https://doi.org/10.3389/fcvm.2022.851905