Literature DB >> 30731143

Metabolomic analysis of serum and myocardium in compensated heart failure after myocardial infarction.

M Dan McKirnan1, Yasuhiro Ichikawa2, Zheng Zhang2, Alice E Zemljic-Harpf2, Sili Fan3, Dinesh Kumar Barupal3, Hemal H Patel2, H Kirk Hammond4, David M Roth5.   

Abstract

AIMS: To determine the metabolic adaptations to compensated heart failure using a reproducible model of myocardial infarction and an unbiased metabolic screen. To address the limitations in sample availability and model variability observed in preclinical and clinical metabolic investigations of heart failure. MAIN
METHODS: Metabolomic analysis was performed on serum and myocardial tissue from rabbits after myocardial infarction (MI) was induced by cryo-injury of the left ventricular free wall. Rabbits followed for 12 weeks after MI exhibited left ventricular dilation and depressed systolic function as determined by echocardiography. Serum and tissue from the viable left ventricular free wall, interventricular septum and right ventricle were analyzed using a gas chromatography time of flight mass spectrometry-based untargeted metabolomics assay for primary metabolites. KEY
FINDINGS: Unique results included: a two- three-fold increase in taurine levels in all three ventricular regions of MI rabbits and similarly, the three regions had increased inosine levels compared to sham controls. Reduced myocardial levels of myo-inositol in the myocardium of MI animals point to altered phospholipid metabolism and membrane receptor function in heart failure. Metabolite profiles also provide evidence for responses to oxidative stress and an impairment in TCA cycle energy production in the failing heart. SIGNIFICANCE: Our results revealed metabolic changes during compensated cardiac dysfunction and suggest potential targets for altering the progression of heart failure. Published by Elsevier Inc.

Entities:  

Keywords:  BCAA; Heart failure; Inosine; Metabolomics; Myo-inositol; Myocardial infarction; Taurine

Mesh:

Substances:

Year:  2019        PMID: 30731143      PMCID: PMC6445392          DOI: 10.1016/j.lfs.2019.01.040

Source DB:  PubMed          Journal:  Life Sci        ISSN: 0024-3205            Impact factor:   5.037


  79 in total

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