Literature DB >> 25199499

Resolving confounding enrichment kinetics due to overlapping resonance signals from 13C-enriched long chain fatty acid oxidation and uptake within intact hearts.

J Michael O'Donnell1, Matthew J Fasano1, E Douglas Lewandowski1.   

Abstract

PURPOSE: Long chain fatty acid (LCFA) oxidation measurements in the intact heart from 13C-NMR rely on detection of 13C-enriched glutamate. However, progressive increases in overlapping resonance signal from LCFA can confound detection of the glutamate 4-carbon (GLU-C4) signal. We evaluated alternative 13C labeling for exogenous LCFA and developed a simple scheme to distinguish kinetics of LCFA uptake and storage from oxidation.
METHODS: Sequential 13C-NMR spectra were acquired from isolated rat hearts perfused with 13C LCFA and glucose. Spectra were evaluated from hearts supplied: U 13C LCFA, [2,4,6,8,10,12,14,16-(13) C8 ] palmitate, [2,4,6,8,10,12,14,16,18-(13) C9 ] oleate, [4,6,8,10,12,14,16-(13) C7 ] palmitate, or [4,6,8,10,12,14,16,18-(13) C8 ] oleate.
RESULTS: 13C signal reflected the progressive enrichment at 34.6 ppm from GLU-C4, confounded by additional signal with distinct kinetics attributed to 13C-enriched LCFA 2-carbon (34.0 ppm). Excluding 13C at the 2-carbon of both palmitate and oleate eliminated signal overlap and enabled detection of the exponential enrichment of GLU-C4 for assessing LCFA oxidation.
CONCLUSION: Eliminating enrichment at the 2-carbon of 13C LCFA resolved confounding kinetics between GLU-C4 and LCFA 2-carbon signals. With this enrichment scheme, oxidation of LCFA, the primary fuel for cardiac ATP synthesis, can now be more consistently examined in whole organs with dynamic mode, proton-decoupled (13C-NMR
© 2014 Wiley Periodicals, Inc.

Entities:  

Keywords:  carbon-13; dynamic mode spectroscopy; glutamate; oleate; palmitate

Mesh:

Substances:

Year:  2014        PMID: 25199499      PMCID: PMC4362871          DOI: 10.1002/mrm.25446

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  27 in total

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