Open Access
Open access
International Journal of Molecular Sciences, volume 26, issue 5, pages 2102

Metabolomic Panel for the Diagnosis of Heart Failure with Preserved Ejection Fraction

Maria Kozhevnikova 1
A. V. Krivova 1
Ekaterina O Korobkova 1
Ivan V. Kuznetsov 1
K. M. Shestakova 2
Yu. N. Belenkov 1
1
 
Hospital Therapy No. 1 Department, N.V. Sklifosovskiy Institute of Clinical Medicine, I.M. Sechenov First Moscow Medical University (Sechenov University), 119991 Moscow, Russia
2
 
Centre of Biopharmaceutical Analysis and Metabolomics, Institute of Translational Medicine and Biotechnology, I.M. Sechenov First Moscow Medical University (Sechenov University), 117418 Moscow, Russia
Publication typeJournal Article
Publication date2025-02-27
scimago Q1
SJR1.179
CiteScore8.1
Impact factor4.9
ISSN16616596, 14220067
Abstract

The diagnosis of heart failure with preserved ejection fraction (HFpEF) remains challenging. The use of metabolomics approaches seems promising in speeding up and simplifying the diagnostic process in HFpEF patients, which can lead to earlier treatment initiation and better improvement of patient condition. The aim of this study was to develop a diagnostic panel of metabolites (metabolomic biomarkers) for the detection and diagnosis of HF with preserved ejection fraction. The study included 76 participants with hypertension, 36 of whom were diagnosed with HFpEF. The blood plasma metabolomic profile, including 72 metabolites, was detected using high-performance liquid chromatography combined with mass spectrometry. There were 18 statistically significant differences in concentrations of metabolites and 3 differences in their ratios between HFpEF and hypertension groups. The prognostic model for detecting the possibility of HFpEF included seven metabolites and two ratios: hexadecenoylcarnitine, arginine, trimethylamine-N-oxide, asymmetric dimethylarginine (ADMA), arginine/ADMA ratio, kynurenine, kynurenine/tryptophan, neopterin, and anthranilic acid. The area under the ROC curve was 0.981 ± 0.017. The resulting model was statistically significant (p < 0.001). The metabolomic panel could be considered as an addition to the present HFpEF laboratory diagnostic criteria for blood plasma analysis in clinical practice.

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