Why the study?
Metabolomics has the potential to improve the diagnosis and prognosis of heart failure phenotypes, prompting the evaluation of distinctive metabolic profiles across acute and chronic heart failure and healthy controls.
Does metabolic profiling identify diagnostic biomarkers for acute and chronic heart failure compared to healthy controls?
Observational (n=78)
Does metabolic profiling identify diagnostic biomarkers for acute and chronic heart failure compared to healthy controls?
Effect estimate: AUC ≥0.8
p-value: p=0.01 and 0.009
Metabolic profiling identified 3-indolepropionic acid, 1-methyl histidine, symmetrical dimethylarginine, and kynurenine as potential diagnostic biomarkers for acute and chronic heart failure.
Distinct metabolomes in ADHF versus CHF may aid phenotyping; leaves open diagnostic or prognostic utility pending validation.
BACKGROUND: Metabolomics has become a valuable tool for identifying potential new biomarkers and metabolic profiles. It has the potential to improve the diagnosis and prognosis of different phenotypes of heart failure. To generate a distinctive metabolic profile, we assessed and compared the metabolic phenotypes of patients with acute decompensated heart failure (ADHF), patients with chronic heart failure (CHF), and healthy controls. METHODS: Plasma metabolites were analyzed by liquid-chromatography mass spectrometry/mass spectrometry and the MxP Quant 500 kit in 15 patients with ADHF, 50 patients with CHF (25 with dilated cardiomyopathy, 25 with ischemic cardiomyopathy), and 13 controls. RESULTS: Of all metabolites identified to be significantly altered, 3-indolepropionic acid and 1-methyl histidine showed the highest concentration differences in ADHF and CHF compared with control. Area under the curve–receiver operating characteristic analysis showed an area under the curve ≥0.8 for 3-indolepropionic acid and 1-methyl histidine, displaying good discrimination capabilities between control and patient cohorts. Additionally, symmetrical dimethylarginine (mean, 1.97±0.61 [SD]; P =0.01) was identified as a suitable biomarker candidate for ADHF and kynurenine (mean, 1.69±0.39 [SD]; P =0.009) for CHF when compared with control, both demonstrating an area under the curve ≥0.85. CONCLUSIONS: Our study provides novel insights into the metabolic differences between ADHF and CHF and healthy controls. We here identify new metabolites for potential diagnostic and prognostic purposes.
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Kretzschmar et al. (2024) conducted an observational in Acute and Chronic Heart Failure With Reduced Ejection Fraction (n=78). Plasma metabolites (3-indolepropionic acid, 1-methyl histidine, SDMA, kynurenine) vs. Healthy controls was evaluated on Discrimination between heart failure patients and healthy controls (AUC ≥0.8, p=0.01 and 0.009).
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