• Emirhan Nemutlu, Song Zhang, Yi-Zhou Xu, Andre Terzic, Li Zhong, Petras D Dzeja, and Yong-Mei Cha.
• Division of Cardiovascular Diseases, Department of Medicine, Mayo Clinic, Rochester, Minnesota; Departments of Molecular Pharmacology and Experimental Therapeutics, Mayo Clinic, Rochester, Minnesota; Department of Analytical Chemistry, Faculty of Pharmacy, University of Hacettepe, Ankara, Turkey.
• J. Card. Fail. 2015 Jun 1; 21 (6): 460-9.

BackgroundHeart failure (HF) is associated with ventricular dyssynchrony and energetic inefficiency, which can be alleviated by cardiac resynchronization therapy (CRT). The aim of this study was to determine the metabolomic signature in HF and its prognostic value regarding the response to CRT.Methods And ResultsThis prospective study consisted of 24 patients undergoing CRT for advanced HF and 10 control patients who underwent catheter ablation for supraventricular arrhythmia but not CRT. Blood samples were collected before and 3 months after CRT. Metabolomic profiling of plasma samples was performed with the use of gas chromatography-mass spectrometry and nuclear magnetic resonance. The plasma metabolomic profile was altered in the HF patients, with a distinct panel of metabolites, including Krebs cycle and lipid, amino acid, and nucleotide metabolism. CRT improved the metabolomic profile. The succinate-glutamate ratio, an index of Krebs cycle activity, improved from 0.58 ± 0.13 to 2.84 ± 0.60 (P < .05). The glucose-palmitate ratio, an indicator of the balance between glycolytic and fatty acid metabolism, increased from 0.96 ± 0.05 to 1.54 ± 0.09 (P < .01). Compared with nonresponders to CRT, responders had a distinct baseline plasma metabolomic profile, including higher isoleucine, phenylalanine, leucine, glucose, and valine levels and lower glutamate levels at baseline (P < .05).ConclusionsCRT improves the plasma metabolomic profile of HF patients, indicating harmonization of myocardial energy substrate metabolism. CRT responders may have a favorable metabolomic profile as a potential biomarker for predicting CRT outcome.Published by Elsevier Inc.

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