ArticleJournal of translational medicine2015
Metabolomic approach to profile functional and metabolic changes in heart failure.
Article in Journal of translational medicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
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Who cites it
34 citing papers in PubMed, 69 citations in OpenAlex.
- Sodium-myo-inositol cotransporter-1, SMIT1, promotes cardiac hypertrophy and fibrosis induced by pressure overload in mice.Cardiovascular research · 2026Article
- The Use of Metabolomes in Risk Stratification of Patients with Heart Failure: A Scoping Review.Life (Basel, Switzerland) · 2026Review
- Serum Metabolites and Heart Failure Risk: MESA and RS.Journal of the American Heart Association · 2025Article
- Novel cardiac biomarkers and multiple-marker approach in the early detection, prognosis, and risk stratification of cardiac diseases.World journal of cardiology · 2025Review
- Mass-spectrometry based metabolomics: an overview of workflows, strategies, data analysis and applications.Proteome science · 2025Review
- Integrative metabolomics dictate distinctive signature profiles in patients with Tetralogy of Fallot.Pediatric research · 2025Article
- Metabolome analysis in patients with heart failure and implantable cardioverter defibrillators.Heart and vessels · 2025Article
- Unveiling Metabolic Signatures in Osteoarthritis Progression through Non-Targeted Metabolomics Analysis: A Paradigm Shift in Diagnosis and Treatment Prospects.Phenomics (Cham, Switzerland) · 2024Article
- Metabolomic profiling identifies novel metabolites associated with cardiac dysfunction.Scientific reports · 2024Article
- Lipidomic signatures in Colombian adults with metabolic syndrome.Journal of diabetes and metabolic disorders · 2024Article
- Metabolomic insights in advanced cardiomyopathy of chronic chagasic and idiopathic patients that underwent heart transplant.Scientific reports · 2024Article
- Multi-omics analysis reveals attenuation of cellular stress by empagliflozin in high glucose-treated human cardiomyocytes.Journal of translational medicine · 2023Article
- Quantitative Profiling of Serum Carnitines Facilitates the Etiology Diagnosis and Prognosis Prediction in Heart Failure.Molecules (Basel, Switzerland) · 2023Article
- Metabolic Signatures of Cardiac Dysfunction, Multimorbidity, and Post-Transcatheter Aortic Valve Implantation Death.Journal of the American Heart Association · 2023Article
- Right Ventricular Subclinical Dysfunction in SLE Patients Correlates with Metabolomic Fingerprint and Organ Damage.Metabolites · 2023Article
- Metabolomics Fingerprint Predicts Risk of Death in Dilated Cardiomyopathy and Heart Failure.Frontiers in cardiovascular medicine · 2022Article
- Article
- Metabolomics as a potential tool for the diagnosis of growth hormone deficiency (GHD): a review.Archives of endocrinology and metabolism · 2021Review
- Comprehensive plasma metabolomic and lipidomic analyses reveal potential biomarkers for heart failure.Molecular and cellular biochemistry · 2021Article
- Analysis of metabolomics profile in hypothyroid patients before and after thyroid hormone replacement.Journal of endocrinological investigation · 2021Article
Corrections and comments
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Authors and funding
9 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundHeart failure (HF) is characterized by a series of adaptive changes in energy metabolism. The use of metabolomics enables the parallel assessment of a wide range of metabolites. In this study, we appraised whether metabolic changes correlate with HF severity, assessed as an impairment of functional contractility, and attempted to interpret the role of metabolic changes in determining systolic dysfunction.
methodsA 500 MHz proton nuclear magnetic resonance ((1)H-NMR)-based analysis was performed on blood samples from three groups of individuals: 9 control subjects (Group A), 9 HF patients with mild to moderate impairment of left ventricle ejection fraction (LVEF: 41.9 ± 4.0 %; Group B), and 15 HF patients with severe LVEF impairment (25.3 ± 10.3 %; Group C). In order to create a descriptive model of HF, a supervised orthogonal projection on latent structures discriminant analysis (OPLS-DA) was applied using speckle tracking-derived longitudinal strain rate as the Y-variable in the multivariate analysis.
resultsOPLS-DA identified three metabolic clusters related to the studied groups achieving good values for R(2) [R(2)(X) = 0.64; R(2)(Y) = 0.59] and Q(2) (0.39). The most important metabolites implicated in the clustering were 2-hydroxybutyrate, glycine, methylmalonate, and myo-inositol.
conclusionsThe results demonstrate the suitability of metabolomics in combination with functional evaluation techniques in HF staging. This innovative tool should facilitate investigation of perturbed metabolic pathways in HF and their correlation with the impairment of myocardial function.
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