Literature DB >> 19307475

Metabolomic profiling reveals distinct patterns of myocardial substrate use in humans with coronary artery disease or left ventricular dysfunction during surgical ischemia/reperfusion.

Aslan T Turer1, Robert D Stevens, James R Bain, Michael J Muehlbauer, Johannes van der Westhuizen, Joseph P Mathew, Debra A Schwinn, Donald D Glower, Christopher B Newgard, Mihai V Podgoreanu.   

Abstract

BACKGROUND: Human myocardial metabolism has been incompletely characterized in the setting of surgical cardioplegic arrest and ischemia/reperfusion. Furthermore, the effect of preexisting ventricular state on ischemia-induced metabolic derangements has not been established. METHODS AND
RESULTS: We applied a mass spectrometry-based platform to profile 63 intermediary metabolites in serial paired peripheral arterial and coronary sinus blood effluents obtained from 37 patients undergoing cardiac surgery, stratified by presence of coronary artery disease and left ventricular dysfunction. The myocardium was a net user of a number of fuel substrates before ischemia, with significant differences between patients with and without coronary artery disease. After reperfusion, significantly lower extraction ratios of most substrates were found, as well as significant release of 2 specific acylcarnitine species, acetylcarnitine and 3-hydroxybutyryl-carnitine. These changes were especially evident in patients with impaired ventricular function, who exhibited profound limitations in extraction of all forms of metabolic fuels. Principal component analysis highlighted several metabolic groupings as potentially important in the postoperative clinical course.
CONCLUSIONS: The preexisting ventricular state is associated with significant differences in myocardial fuel uptake at baseline and after ischemia/reperfusion. The dysfunctional ventricle is characterized by global suppression of metabolic fuel uptake and limited myocardial metabolic reserve and flexibility after global ischemia/reperfusion stress in the setting of cardiac surgery. Altered metabolic profiles after ischemia/reperfusion are associated with postoperative hemodynamic course and suggest a role for perioperative metabolic monitoring and targeted optimization in cardiac surgical patients.

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Year:  2009        PMID: 19307475      PMCID: PMC2756963          DOI: 10.1161/CIRCULATIONAHA.108.816116

Source DB:  PubMed          Journal:  Circulation        ISSN: 0009-7322            Impact factor:   29.690


  35 in total

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2.  Mitochondrial DNA damage and dysfunction associated with oxidative stress in failing hearts after myocardial infarction.

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3.  An evaluation of myocardial fatty acid and glucose uptake using PET with [18F]fluoro-6-thia-heptadecanoic acid and [18F]FDG in Patients with Congestive Heart Failure.

Authors:  M Taylor; T R Wallhaus; T R Degrado; D C Russell; P Stanko; R J Nickles; C K Stone
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4.  Myocardial carnitine and carnitine palmitoyltransferase deficiencies in patients with severe heart failure.

Authors:  M A Martín; M A Gómez; F Guillén; B Börnstein; Y Campos; J C Rubio; C S de la Calzada; J Arenas
Journal:  Biochim Biophys Acta       Date:  2000-11-15

5.  Coronary blood flow, metabolism, and function in dysfunctional viable myocardium before and early after surgical revascularisation.

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6.  Paradoxical downregulation of the glucose oxidation pathway despite enhanced flux in severe heart failure.

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7.  Altered myocardial fatty acid and glucose metabolism in idiopathic dilated cardiomyopathy.

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  56 in total

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2.  Catabolic Defect of Branched-Chain Amino Acids Promotes Heart Failure.

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Journal:  Circ Cardiovasc Genet       Date:  2015-01-30

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6.  Cardiac resynchronization therapy induces adaptive metabolic transitions in the metabolomic profile of heart failure.

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7.  Branched Chain Amino Acids.

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Review 8.  Imaging and modeling of myocardial metabolism.

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9.  Proteomic Profiling Reveals Adaptive Responses to Surgical Myocardial Ischemia-Reperfusion in Hibernating Arctic Ground Squirrels Compared to Rats.

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Journal:  Anesthesiology       Date:  2016-06       Impact factor: 7.892

10.  Metabolomics applied to diabetes research: moving from information to knowledge.

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